113 results on '"Christakoudi, S"'
Search Results
2. A body shape index (ABSI) is associated inversely with post-menopausal progesterone-receptor-negative breast cancer risk in a large European cohort
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Christakoudi, S, Tsilidis, KK, Dossus, L, Rinaldi, S, Weiderpass, E, Antoniussen, CS, Dahm, CC, Tjønneland, A, Mellemkjær, L, Katzke, V, Kaaks, R, Schulze, MB, Masala, G, Grioni, S, Panico, S, Tumino, R, Sacerdote, C, May, AM, Monninkhof, EM, Quirós, JR, Bonet, C, Sánchez, M-J, Amiano, P, Chirlaque, M-D, Guevara, M, Rosendahl, AH, Stocks, T, Perez-Cornago, A, Tin Tin, S, Heath, AK, Aglago, EK, Peruchet-Noray, L, Freisling, H, and Riboli, E
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Breast Neoplasms/complications ,Somatotypes ,Hip Size ,Triple Negative Breast Neoplasms/complications ,Waist Size ,Middle Aged ,Body Mass Index ,Postmenopause ,ABSI ,Body shape ,Breast cancer ,Risk Factors ,Humans ,Female ,Prospective Studies ,Obesity ,Progesterone - Abstract
BACKGROUND: Associations of body shape with breast cancer risk, independent of body size, are unclear because waist and hip circumferences are correlated strongly positively with body mass index (BMI).METHODS: We evaluated body shape with the allometric "a body shape index" (ABSI) and hip index (HI), which compare waist and hip circumferences, correspondingly, among individuals with the same weight and height. We examined associations of ABSI, HI, and BMI (per one standard deviation increment) with breast cancer overall, and according to menopausal status at baseline, age at diagnosis, and oestrogen and progesterone receptor status (ER+/-PR+/-) in multivariable Cox proportional hazards models using data from the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort.RESULTS: During a mean follow-up of 14.0 years, 9011 incident breast cancers were diagnosed among 218,276 women. Although there was little evidence for association of ABSI with breast cancer overall (hazard ratio HR = 0.984; 95% confidence interval: 0.961-1.007), we found borderline inverse associations for post-menopausal women (HR = 0.971; 0.942-1.000; n = 5268 cases) and breast cancers diagnosed at age ≥ 55 years (HR = 0.976; 0.951-1.002; n = 7043) and clear inverse associations for ER + PR- subtypes (HR = 0.894; 0.822-0.971; n = 726) and ER-PR- subtypes (HR = 0.906; 0.835-0.983 n = 759). There were no material associations with HI. BMI was associated strongly positively with breast cancer overall (HR = 1.074; 1.049-1.098), for post-menopausal women (HR = 1.117; 1.085-1.150), for cancers diagnosed at age ≥ 55 years (HR = 1.104; 1.076-1.132), and for ER + PR + subtypes (HR = 1.122; 1.080-1.165; n = 3101), but not for PR- subtypes.CONCLUSIONS: In the EPIC cohort, abdominal obesity evaluated with ABSI was not associated with breast cancer risk overall but was associated inversely with the risk of post-menopausal PR- breast cancer. Our findings require validation in other cohorts and with a larger number of PR- breast cancer cases.
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- 2023
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3. Metabolically defined body size and body shape phenotypes and risk of postmenopausal breast cancer in the European Prospective Investigation into Cancer and Nutrition
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Epi Kanker, Cancer, JC onderzoeksprogramma Kanker, Epi Kanker Team C, Mahamat-Saleh, Y., Rinaldi, S., Kaaks, R., Biessy, C., Gonzalez-Gil, E. M., Murphy, N., Le Cornet, C., Huerta, J. M., Sieri, S., Tjønneland, A., Mellemkjær, L., Guevara, M., Overvad, K., Perez-Cornago, A., Tin Tin, S., Padroni, L., Simeon, V., Masala, G., May, A., Monninkhof, E., Christakoudi, S., Heath, A. K., Tsilidis, K., Agudo, A., Schulze, M. B., Rothwell, J., Cadeau, C., Severi, S., Weiderpass, E., Gunter, M. J., Dossus, L., Epi Kanker, Cancer, JC onderzoeksprogramma Kanker, Epi Kanker Team C, Mahamat-Saleh, Y., Rinaldi, S., Kaaks, R., Biessy, C., Gonzalez-Gil, E. M., Murphy, N., Le Cornet, C., Huerta, J. M., Sieri, S., Tjønneland, A., Mellemkjær, L., Guevara, M., Overvad, K., Perez-Cornago, A., Tin Tin, S., Padroni, L., Simeon, V., Masala, G., May, A., Monninkhof, E., Christakoudi, S., Heath, A. K., Tsilidis, K., Agudo, A., Schulze, M. B., Rothwell, J., Cadeau, C., Severi, S., Weiderpass, E., Gunter, M. J., and Dossus, L.
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- 2023
4. Metabolically defined body size and body shape phenotypes and risk of postmenopausal breast cancer in the European Prospective Investigation into Cancer and Nutrition
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Mahamat-Saleh, Y., Rinaldi, S., Kaaks, R., Biessy, C., Gonzalez-Gil, E. M., Murphy, N., Le Cornet, C., Huerta, J. M., Sieri, S., Tjønneland, A., Mellemkjær, L., Guevara, M., Overvad, K., Perez-Cornago, A., Tin Tin, S., Padroni, L., Simeon, V., Masala, G., May, A., Monninkhof, E., Christakoudi, S., Heath, A. K., Tsilidis, K., Agudo, A., Schulze, M. B., Rothwell, J., Cadeau, C., Severi, S., Weiderpass, E., Gunter, M. J., Dossus, L., Mahamat-Saleh, Y., Rinaldi, S., Kaaks, R., Biessy, C., Gonzalez-Gil, E. M., Murphy, N., Le Cornet, C., Huerta, J. M., Sieri, S., Tjønneland, A., Mellemkjær, L., Guevara, M., Overvad, K., Perez-Cornago, A., Tin Tin, S., Padroni, L., Simeon, V., Masala, G., May, A., Monninkhof, E., Christakoudi, S., Heath, A. K., Tsilidis, K., Agudo, A., Schulze, M. B., Rothwell, J., Cadeau, C., Severi, S., Weiderpass, E., Gunter, M. J., and Dossus, L.
- Abstract
Background: Excess body fatness and hyperinsulinemia are both associated with an increased risk of postmenopausal breast cancer. However, whether women with high body fatness but normal insulin levels or those with normal body fatness and high levels of insulin are at elevated risk of breast cancer is not known. We investigated the associations of metabolically defined body size and shape phenotypes with the risk of postmenopausal breast cancer in a nested case–control study within the European Prospective Investigation into Cancer and Nutrition. Methods: Concentrations of C-peptide—a marker for insulin secretion—were measured at inclusion prior to cancer diagnosis in serum from 610 incident postmenopausal breast cancer cases and 1130 matched controls. C-peptide concentrations among the control participants were used to define metabolically healthy (MH; in first tertile) and metabolically unhealthy (MU; >1st tertile) status. We created four metabolic health/body size phenotype categories by combining the metabolic health definitions with normal weight (NW; BMI < 25 kg/m2, or WC < 80 cm, or WHR < 0.8) and overweight or obese (OW/OB; BMI ≥ 25 kg/m2, or WC ≥ 80 cm, or WHR ≥ 0.8) status for each of the three anthropometric measures separately: (1) MHNW, (2) MHOW/OB, (3) MUNW, and (4) MUOW/OB. Conditional logistic regression was used to compute odds ratios (ORs) and 95% confidence intervals (CIs). Results: Women classified as MUOW/OB were at higher risk of postmenopausal breast cancer compared to MHNW women considering BMI (OR = 1.58, 95% CI = 1.14–2.19) and WC (OR = 1.51, 95% CI = 1.09–2.08) cut points and there was also a suggestive increased risk for the WHR (OR = 1.29, 95% CI = 0.94–1.77) definition. Conversely, women with the MHOW/OB and MUNW were not at statistically significant elevated risk of postmenopausal breast cancer risk compared to MHNW women. Conclusion: These findings suggest that being overweight or obese and metabol
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- 2023
5. Metabolically defined body size and body shape phenotypes and risk of postmenopausal breast cancer in the European Prospective Investigation into Cancer and Nutrition
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Mahamat‐Saleh, Y., primary, Rinaldi, S., additional, Kaaks, R., additional, Biessy, C., additional, Gonzalez‐Gil, E. M., additional, Murphy, N., additional, Le Cornet, C., additional, Huerta, J. M., additional, Sieri, S., additional, Tjønneland, A., additional, Mellemkjær, L., additional, Guevara, M., additional, Overvad, K., additional, Perez‐Cornago, A., additional, Tin Tin, S., additional, Padroni, L., additional, Simeon, V., additional, Masala, G., additional, May, A., additional, Monninkhof, E., additional, Christakoudi, S., additional, Heath, A. K., additional, Tsilidis, K., additional, Agudo, A., additional, Schulze, M. B., additional, Rothwell, J., additional, Cadeau, C., additional, Severi, S., additional, Weiderpass, E., additional, Gunter, M. J., additional, and Dossus, L., additional
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- 2023
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6. Lack of adjustment for confounding could lead to misleading conclusions
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Christakoudi, S. and Hernandez‐Fuentes, M. P.
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- 2017
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7. Body size at different ages and risk of six cancers: a Mendelian randomization and prospective cohort study
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Mariosa, D, Smith-Byrne, K, Richardson, TG, Ferrari, P, Gunter, MJ, Papadimitriou, N, Murphy, N, Christakoudi, S, Tsilidis, KK, Riboli, E, Muller, D, Purdue, MP, Chanock, SJ, Hung, RJ, Amos, CI, O'Mara, TA, Amiano, P, Pasanisi, F, Rodriguez-Barranco, M, Krogh, V, Tjønneland, A, Halkjær, J, Perez-Cornago, A, Chirlaque, M-D, Skeie, G, Rylander, C, Borch, KB, Aune, D, Heath, AK, Ward, HA, Schulze, M, Bonet, C, Weiderpass, E, Smith, GD, Brennan, P, Johansson, M, Mariosa, Daniela, Smith-Byrne, Karl, Richardson, Tom G, Ferrari, Pietro, Gunter, Marc J, Papadimitriou, Niko, Murphy, Neil, Christakoudi, Sofia, Tsilidis, Konstantinos K, Riboli, Elio, Muller, David, Purdue, Mark P, Chanock, Stephen J, Hung, Rayjean J, Amos, Christopher I, O'Mara, Tracy A, Amiano, Pilar, Pasanisi, Fabrizio, Rodriguez-Barranco, Miguel, Krogh, Vittorio, Tjønneland, Anne, Halkjær, Jytte, Perez-Cornago, Aurora, Chirlaque, María-Dolore, Skeie, Guri, Rylander, Charlotta, Borch, Kristin Benjaminsen, Aune, Dagfinn, Heath, Alicia K, Ward, Heather A, Schulze, Matthia, Bonet, Catalina, Weiderpass, Elisabete, Smith, George Davey, Brennan, Paul, and Johansson, Mattias
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Adult ,SUSCEPTIBILITY LOCI ,Epidemiology ,OVARIAN-CANCER ,Body Mass Index ,1117 Public Health and Health Services ,POOLED ANALYSIS ,Cohort Studies ,MASS INDEX ,Neoplasms ,Body Size ,Humans ,Obesity ,Prospective Studies ,Genetics & Heredity ,LIFE-COURSE ,0604 Genetics ,Science & Technology ,IDENTIFICATION ,ENDOMETRIAL CANCER ,Mendelian Randomization Analysis ,Oncology ,ADIPOSITY ,Mathematical & Computational Biology ,Life Sciences & Biomedicine ,ANTHROPOMETRIC FACTORS ,Genome-Wide Association Study - Abstract
It is unclear if body weight in early life affects cancer risk independently of adult body weight. To investigate this question for six obesity-related cancers, we performed univariable and multivariable analyses using i) Mendelian randomization (MR) analysis and ii) longitudinal analyses in prospective cohorts. Both the MR and longitudinal analyses indicated that larger body size at age 10 was associated with higher risk of endometrial (ORMR=1.61, 95%CI = 1.23-2.11) and kidney cancer (ORMR=1.40, 95%CI = 1.09-1.80). These associations were attenuated after accounting for adult body size in both the MR and cohort analyses. Early life BMI was not consistently associated with the other investigated cancers. The lack of clear independent risk associations suggests that early life BMI influences endometrial and kidney cancer risk mainly through pathways that are common with adult BMI.
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- 2022
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8. Hepatic Infiltrates in Operational Tolerant Patients After Liver Transplantation Show Enrichment of Regulatory T Cells Before Proinflammatory Genes Are Downregulated
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Taubert, R., Danger, R., Londoño, M.-C., Christakoudi, S., Martinez-Picola, M., Rimola, A., Manns, M. P., Sánchez-Fueyo, A., and Jaeckel, E.
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- 2016
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9. Prospective analysis of circulating metabolites and endometrial cancer risk
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Dossus, L., Kouloura, E., Biessy, C., Viallon, V., Siskos, A.P., Dimou, N., Rinaldi, S., Merritt, M.A., Allen, N., Fortner, R., Kaaks, R., Weiderpass, E., Gram, I.T., Rothwell, J.A., Lécuyer, L., Severi, G., Schulze, M.B., Nøst, T.H., Crous-Bou, M., Sánchez, M.-J., Amiano, P., Colorado-Yohar, S.M., Gurrea, A.B., Schmidt, J.A., Palli, D., Agnoli, C., Tumino, R., Sacerdote, C., Mattiello, A., Vermeulen, R., Heath, A.K., Christakoudi, S., Tsilidis, K.K., Travis, R.C., Gunter, M.J., Keun, H.C., Dossus, L., Kouloura, E., Biessy, C., Viallon, V., Siskos, A.P., Dimou, N., Rinaldi, S., Merritt, M.A., Allen, N., Fortner, R., Kaaks, R., Weiderpass, E., Gram, I.T., Rothwell, J.A., Lécuyer, L., Severi, G., Schulze, M.B., Nøst, T.H., Crous-Bou, M., Sánchez, M.-J., Amiano, P., Colorado-Yohar, S.M., Gurrea, A.B., Schmidt, J.A., Palli, D., Agnoli, C., Tumino, R., Sacerdote, C., Mattiello, A., Vermeulen, R., Heath, A.K., Christakoudi, S., Tsilidis, K.K., Travis, R.C., Gunter, M.J., and Keun, H.C.
- Abstract
Background: Endometrial cancer is strongly associated with obesity and dysregulation of metabolic factors such as estrogen and insulin signaling are causal risk factors for this malignancy. To identify additional novel metabolic pathways associated with endometrial cancer we performed metabolomic analyses on pre-diagnostic plasma samples from 853 case-control pairs from the European Prospective Investigation into Cancer and Nutrition (EPIC). Methods: A total of 129 metabolites (acylcarnitines, amino acids, biogenic amines, glycerophospholipids, hexoses, and sphingolipids) were measured by liquid chromatography-mass spectrometry. Conditional logistic regression estimated the associations of metabolites with endometrial cancer risk. An analysis focusing on clusters of metabolites using the bootstrap lasso method was also employed. Results: After adjustment for body mass index, sphingomyelin [SM] C18:0 was positively (OR1SD: 1.18, 95% CI: 1.05–1.33), and glycine, serine, and free carnitine (C0) were inversely (OR1SD: 0.89, 95% CI: 0.80–0.99; OR1SD: 0.89, 95% CI: 0.79–1.00 and OR1SD: 0.91, 95% CI: 0.81–1.00, respectively) associated with endometrial cancer risk. Serine, C0 and two sphingomyelins were selected by the lasso method in >90% of the bootstrap samples. The ratio of esterified to free carnitine (OR1SD: 1.14, 95% CI: 1.02–1.28) and that of short chain to free acylcarnitines (OR1SD: 1.12, 95% CI: 1.00–1.25) were positively associated with endometrial cancer risk. Further adjustment for C-peptide or other endometrial cancer risk factors only minimally altered the results. Conclusion: These findings suggest that variation in levels of glycine, serine, SM C18:0 and free carnitine may represent specific pathways linked to endometrial cancer development. If causal, these pathways may offer novel targets for endometrial cancer prevention.
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- 2021
10. Preformed T cell alloimmunity and HLA eplet mismatch to guide immunosuppression minimization with tacrolimus monotherapy in kidney transplantation: Results of the CELLIMIN trial
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Bestard, O., Meneghini, M., Crespo, E., Bemelman, F., Koch, M., Volk, H.D., Viklicky, O., Giral, M., Banas, B., Ruiz, J.C., Melilli, E., Hu, L., Duivenvoorden, R., Nashan, B., Thaiss, F., Otto, N.M., Bold, G., Stein, M., Sefrin, A., Lachmann, N., Hruba, P., Stranavova, L., Brouard, S., Braudeau, C., Blancho, G., Banas, M., Irure, J., Christakoudi, S., Sanchez-Fueyo, A., Wood, K.J., Reinke, P., Grinyó, J.M., Bestard, O., Meneghini, M., Crespo, E., Bemelman, F., Koch, M., Volk, H.D., Viklicky, O., Giral, M., Banas, B., Ruiz, J.C., Melilli, E., Hu, L., Duivenvoorden, R., Nashan, B., Thaiss, F., Otto, N.M., Bold, G., Stein, M., Sefrin, A., Lachmann, N., Hruba, P., Stranavova, L., Brouard, S., Braudeau, C., Blancho, G., Banas, M., Irure, J., Christakoudi, S., Sanchez-Fueyo, A., Wood, K.J., Reinke, P., and Grinyó, J.M.
- Abstract
Item does not contain fulltext, Personalizing immunosuppression is a major objective in transplantation. Transplant recipients are heterogeneous regarding their immunological memory and primary alloimmune susceptibility. This biomarker-guided trial investigated whether in low immunological-risk kidney transplants without pretransplant DSA and donor-specific T cells assessed by a standardized IFN-γ ELISPOT, low immunosuppression (LI) with tacrolimus monotherapy would be non-inferior regarding 6-month BPAR than tacrolimus-based standard of care (SOC). Due to low recruitment rates, the trial was terminated when 167 patients were enrolled. ELISPOT negatives (E-) were randomized to LI (n = 48) or SOC (n = 53), E+ received the same SOC. Six- and 12-month BPAR rates were higher among LI than SOC/E- (4/35 [13%] vs. 1/43 [2%], p = .15 and 12/48 [25%] vs. 6/53 [11.3%], p = .073, respectively). E+ patients showed similarly high BPAR rates than LI at 6 and 12 months (12/55 [22%] and 13/66 [20%], respectively). These differences were stronger in per-protocol analyses. Post-hoc analysis revealed that poor class-II eplet matching, especially DQ, discriminated E- patients, notably E-/LI, developing BPAR (4/28 [14%] low risk vs. 8/20 [40%] high risk, p = .043). Eplet mismatch also predicted anti-class-I (p = .05) and anti-DQ (p < .001) de novo DSA. Adverse events were similar, but E-/LI developed fewer viral infections, particularly polyoma-virus-associated nephropathy (p = .021). Preformed T cell alloreactivity and HLA eplet mismatch assessment may refine current baseline immune-risk stratification and guide immunosuppression decision-making in kidney transplantation.
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- 2021
11. Prospective analysis of circulating metabolites and endometrial cancer risk
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Sub Inorganic Chemistry and Catalysis, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Dossus, L., Kouloura, E., Biessy, C., Viallon, V., Siskos, A.P., Dimou, N., Rinaldi, S., Merritt, M.A., Allen, N., Fortner, R., Kaaks, R., Weiderpass, E., Gram, I.T., Rothwell, J.A., Lécuyer, L., Severi, G., Schulze, M.B., Nøst, T.H., Crous-Bou, M., Sánchez, M.-J., Amiano, P., Colorado-Yohar, S.M., Gurrea, A.B., Schmidt, J.A., Palli, D., Agnoli, C., Tumino, R., Sacerdote, C., Mattiello, A., Vermeulen, R., Heath, A.K., Christakoudi, S., Tsilidis, K.K., Travis, R.C., Gunter, M.J., Keun, H.C., Sub Inorganic Chemistry and Catalysis, IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Dossus, L., Kouloura, E., Biessy, C., Viallon, V., Siskos, A.P., Dimou, N., Rinaldi, S., Merritt, M.A., Allen, N., Fortner, R., Kaaks, R., Weiderpass, E., Gram, I.T., Rothwell, J.A., Lécuyer, L., Severi, G., Schulze, M.B., Nøst, T.H., Crous-Bou, M., Sánchez, M.-J., Amiano, P., Colorado-Yohar, S.M., Gurrea, A.B., Schmidt, J.A., Palli, D., Agnoli, C., Tumino, R., Sacerdote, C., Mattiello, A., Vermeulen, R., Heath, A.K., Christakoudi, S., Tsilidis, K.K., Travis, R.C., Gunter, M.J., and Keun, H.C.
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- 2021
12. Adiposity and Endometrial Cancer Risk in Postmenopausal Women: A Sequential Causal Mediation Analysis
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Dashti, SG, English, DR, Simpson, JA, Karahalios, A, Moreno-Betancur, M, Biessy, C, Rinaldi, S, Ferrari, P, Tjonneland, A, Halkjaer, J, Dahm, CC, Vistisen, HT, Menegaux, F, Perduca, V, Severi, G, Aleksandrova, K, Schulze, MB, Masala, G, Sieri, S, Tumino, R, Macciotta, A, Panico, S, Hiensch, AE, May, AM, Quiros, JR, Agudo, A, Sanchez, M-J, Amiano, P, Colorado-Yohar, S, Ardanaz, E, Allen, NE, Weiderpass, E, Fortner, RT, Christakoudi, S, Tsilidis, KK, Riboli, E, Kaaks, R, Gunter, MJ, Viallon, V, Dossus, L, Dashti, SG, English, DR, Simpson, JA, Karahalios, A, Moreno-Betancur, M, Biessy, C, Rinaldi, S, Ferrari, P, Tjonneland, A, Halkjaer, J, Dahm, CC, Vistisen, HT, Menegaux, F, Perduca, V, Severi, G, Aleksandrova, K, Schulze, MB, Masala, G, Sieri, S, Tumino, R, Macciotta, A, Panico, S, Hiensch, AE, May, AM, Quiros, JR, Agudo, A, Sanchez, M-J, Amiano, P, Colorado-Yohar, S, Ardanaz, E, Allen, NE, Weiderpass, E, Fortner, RT, Christakoudi, S, Tsilidis, KK, Riboli, E, Kaaks, R, Gunter, MJ, Viallon, V, and Dossus, L
- Abstract
BACKGROUND: Adiposity increases endometrial cancer risk, possibly through inflammation, hyperinsulinemia, and increasing estrogens. We aimed to quantify the mediating effects of adiponectin (anti-inflammatory adipocytokine); IL6, IL1-receptor antagonist, TNF receptor 1 and 2, and C-reactive protein (inflammatory status biomarkers); C-peptide (hyperinsulinemia biomarker); and free estradiol and estrone (estrogen biomarkers) in the adiposity-endometrial cancer link in postmenopausal women. METHODS: We used data from a case-control study within the European Prospective Investigation into Cancer and Nutrition (EPIC). Eligible women did not have cancer, hysterectomy, and diabetes; did not use oral contraceptives or hormone therapy; and were postmenopausal at recruitment. Mediating pathways from adiposity to endometrial cancer were investigated by estimating natural indirect (NIE) and direct (NDE) effects using sequential mediation analysis. RESULTS: The study included 163 cases and 306 controls. The adjusted OR for endometrial cancer for body mass index (BMI) ≥30 versus ≥18.5-<25 kg/m2 was 2.51 (95% confidence interval, 1.26-5.02). The ORsNIE were 1.95 (1.01-3.74) through all biomarkers [72% proportion mediated (PM)] decomposed as: 1.35 (1.06-1.73) through pathways originating with adiponectin (33% PM); 1.13 (0.71-1.80) through inflammation beyond (the potential influence of) adiponectin (13% PM); 1.05 (0.88-1.24) through C-peptide beyond adiponectin and inflammation (5% PM); and 1.22 (0.89-1.67) through estrogens beyond preceding biomarkers (21% PM). The ORNDE not through biomarkers was 1.29 (0.54-3.09). Waist circumference gave similar results. CONCLUSIONS: Reduced adiponectin and increased inflammatory biomarkers, C-peptide, and estrogens mediated approximately 70% of increased odds of endometrial cancer in women with obesity versus normal weight. IMPACT: If replicated, these results could have implications for identifying targets for intervention to reduce endometria
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- 2021
13. Association between anthropometry and lifestyle factors and risk of B-cell lymphoma: An exposome-wide analysis
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Saberi Hosnijeh, F, Casabonne, D, Nieters, A, Solans, M, Naudin, S, Ferrari, P, Mckay, JD, Benavente, Y, Weiderpass, E, Freisling, H, Severi, G, Boutron Ruault, M-C, Besson, C, Agnoli, C, Masala, G, Sacerdote, C, Tumino, R, Huerta, JM, Amiano, P, Rodriguez-Barranco, M, Bonet, C, Barricarte, A, Christakoudi, S, Knuppel, A, Bueno-de-Mesquita, B, Schulze, MB, Kaaks, R, Canzian, F, Spath, F, Jerkeman, M, Rylander, C, Tjonneland, A, Olsen, A, Borch, KB, Vermeulen, R, Saberi Hosnijeh, F, Casabonne, D, Nieters, A, Solans, M, Naudin, S, Ferrari, P, Mckay, JD, Benavente, Y, Weiderpass, E, Freisling, H, Severi, G, Boutron Ruault, M-C, Besson, C, Agnoli, C, Masala, G, Sacerdote, C, Tumino, R, Huerta, JM, Amiano, P, Rodriguez-Barranco, M, Bonet, C, Barricarte, A, Christakoudi, S, Knuppel, A, Bueno-de-Mesquita, B, Schulze, MB, Kaaks, R, Canzian, F, Spath, F, Jerkeman, M, Rylander, C, Tjonneland, A, Olsen, A, Borch, KB, and Vermeulen, R
- Abstract
To better understand the role of individual and lifestyle factors in human disease, an exposome-wide association study was performed to investigate within a single-study anthropometry measures and lifestyle factors previously associated with B-cell lymphoma (BCL). Within the European Prospective Investigation into Cancer and nutrition study, 2402 incident BCL cases were diagnosed from 475 426 participants that were followed-up on average 14 years. Standard and penalized Cox regression models as well as principal component analysis (PCA) were used to evaluate 84 exposures in relation to BCL risk. Standard and penalized Cox regression models showed a positive association between anthropometric measures and BCL and multiple myeloma/plasma cell neoplasm (MM). The penalized Cox models additionally showed the association between several exposures from categories of physical activity, smoking status, medical history, socioeconomic position, diet and BCL and/or the subtypes. PCAs confirmed the individual associations but also showed additional observations. The PC5 including anthropometry, was positively associated with BCL, diffuse large B-cell lymphoma (DLBCL) and MM. There was a significant positive association between consumption of sugar and confectionary (PC11) and follicular lymphoma risk, and an inverse association between fish and shellfish and Vitamin D (PC15) and DLBCL risk. The PC1 including features of the Mediterranean diet and diet with lower inflammatory score showed an inverse association with BCL risk, while the PC7, including dairy, was positively associated with BCL and DLBCL risk. Physical activity (PC10) was positively associated with DLBCL risk among women. This study provided informative insights on the etiology of BCL.
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- 2021
14. Weight change in middle adulthood and risk of cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort
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Christakoudi, S, Pagoni, P, Ferrari, P, Cross, AJ, Tzoulaki, I, Muller, DC, Weiderpass, E, Freisling, H, Murphy, N, Dossus, L, Turzanski Fortner, R, Agudo, A, Overvad, K, Perez-Cornago, A, Key, TJ, Brennan, P, Johansson, M, Tjonneland, A, Halkjaer, J, Boutron-Ruault, M-C, Artaud, F, Severi, G, Kaaks, R, Schulze, MB, Bergmann, MM, Masala, G, Grioni, S, Simeon, V, Tumino, R, Sacerdote, C, Skeie, G, Rylander, C, Borch, KB, Quiros, JR, Rodriguez-Barranco, M, Chirlaque, M-D, Ardanaz, E, Amiano, P, Drake, I, Stocks, T, Haggstrom, C, Harlid, S, Ellingjord-Dale, M, Riboli, E, Tsilidis, KK, Christakoudi, S, Pagoni, P, Ferrari, P, Cross, AJ, Tzoulaki, I, Muller, DC, Weiderpass, E, Freisling, H, Murphy, N, Dossus, L, Turzanski Fortner, R, Agudo, A, Overvad, K, Perez-Cornago, A, Key, TJ, Brennan, P, Johansson, M, Tjonneland, A, Halkjaer, J, Boutron-Ruault, M-C, Artaud, F, Severi, G, Kaaks, R, Schulze, MB, Bergmann, MM, Masala, G, Grioni, S, Simeon, V, Tumino, R, Sacerdote, C, Skeie, G, Rylander, C, Borch, KB, Quiros, JR, Rodriguez-Barranco, M, Chirlaque, M-D, Ardanaz, E, Amiano, P, Drake, I, Stocks, T, Haggstrom, C, Harlid, S, Ellingjord-Dale, M, Riboli, E, and Tsilidis, KK
- Abstract
Obesity is a risk factor for several major cancers. Associations of weight change in middle adulthood with cancer risk, however, are less clear. We examined the association of change in weight and body mass index (BMI) category during middle adulthood with 42 cancers, using multivariable Cox proportional hazards models in the European Prospective Investigation into Cancer and Nutrition cohort. Of 241 323 participants (31% men), 20% lost and 32% gained weight (>0.4 to 5.0 kg/year) during 6.9 years (average). During 8.0 years of follow-up after the second weight assessment, 20 960 incident cancers were ascertained. Independent of baseline BMI, weight gain (per one kg/year increment) was positively associated with cancer of the corpus uteri (hazard ratio [HR] = 1.14; 95% confidence interval: 1.05-1.23). Compared to stable weight (±0.4 kg/year), weight gain (>0.4 to 5.0 kg/year) was positively associated with cancers of the gallbladder and bile ducts (HR = 1.41; 1.01-1.96), postmenopausal breast (HR = 1.08; 1.00-1.16) and thyroid (HR = 1.40; 1.04-1.90). Compared to maintaining normal weight, maintaining overweight or obese BMI (World Health Organisation categories) was positively associated with most obesity-related cancers. Compared to maintaining the baseline BMI category, weight gain to a higher BMI category was positively associated with cancers of the postmenopausal breast (HR = 1.19; 1.06-1.33), ovary (HR = 1.40; 1.04-1.91), corpus uteri (HR = 1.42; 1.06-1.91), kidney (HR = 1.80; 1.20-2.68) and pancreas in men (HR = 1.81; 1.11-2.95). Losing weight to a lower BMI category, however, was inversely associated with cancers of the corpus uteri (HR = 0.40; 0.23-0.69) and colon (HR = 0.69; 0.52-0.92). Our findings support avoiding weight gain and encouraging weight loss in middle adulthood.
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- 2021
15. A Body Shape Index (ABSI) achieves better mortality risk stratification than alternative indices of abdominal obesity: results from a large European cohort
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Christakoudi, S. Tsilidis, K.K. Muller, D.C. Freisling, H. Weiderpass, E. Overvad, K. Söderberg, S. Häggström, C. Pischon, T. Dahm, C.C. Zhang, J. Tjønneland, A. Halkjær, J. MacDonald, C. Boutron-Ruault, M.-C. Mancini, F.R. Kühn, T. Kaaks, R. Schulze, M.B. Trichopoulou, A. Karakatsani, A. Peppa, E. Masala, G. Pala, V. Panico, S. Tumino, R. Sacerdote, C. Quirós, J.R. Agudo, A. Sánchez, M.-J. Cirera, L. Barricarte-Gurrea, A. Amiano, P. Memarian, E. Sonestedt, E. Bueno-de-Mesquita, B. May, A.M. Khaw, K.-T. Wareham, N.J. Tong, T.Y.N. Huybrechts, I. Noh, H. Aglago, E.K. Ellingjord-Dale, M. Ward, H.A. Aune, D. Riboli, E.
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nutritional and metabolic diseases - Abstract
Abdominal and general adiposity are independently associated with mortality, but there is no consensus on how best to assess abdominal adiposity. We compared the ability of alternative waist indices to complement body mass index (BMI) when assessing all-cause mortality. We used data from 352,985 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) and Cox proportional hazards models adjusted for other risk factors. During a mean follow-up of 16.1 years, 38,178 participants died. Combining in one model BMI and a strongly correlated waist index altered the association patterns with mortality, to a predominantly negative association for BMI and a stronger positive association for the waist index, while combining BMI with the uncorrelated A Body Shape Index (ABSI) preserved the association patterns. Sex-specific cohort-wide quartiles of waist indices correlated with BMI could not separate high-risk from low-risk individuals within underweight (BMI < 18.5 kg/m2) or obese (BMI ≥ 30 kg/m2) categories, while the highest quartile of ABSI separated 18–39% of the individuals within each BMI category, which had 22–55% higher risk of death. In conclusion, only a waist index independent of BMI by design, such as ABSI, complements BMI and enables efficient risk stratification, which could facilitate personalisation of screening, treatment and monitoring. © 2020, The Author(s).
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- 2020
16. Blood pressure and risk of cancer in the European Prospective Investigation into Cancer and Nutrition
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Christakoudi, S. Kakourou, A. Markozannes, G. Tzoulaki, I. Weiderpass, E. Brennan, P. Gunter, M. Dahm, C.C. Overvad, K. Olsen, A. Tjønneland, A. Boutron-Ruault, M.-C. Madika, A.-L. Severi, G. Katzke, V. Kühn, T. Bergmann, M.M. Boeing, H. Karakatsani, A. Martimianaki, G. Thriskos, P. Masala, G. Sieri, S. Panico, S. Tumino, R. Ricceri, F. Agudo, A. Redondo-Sánchez, D. Colorado-Yohar, S.M. Mokoroa, O. Melander, O. Stocks, T. Häggström, C. Harlid, S. Bueno-de-Mesquita, B. van Gils, C.H. Vermeulen, R.C.H. Khaw, K.-T. Wareham, N.J. Tong, T.Y.N. Freisling, H. Johansson, M. Lennon, H. Aune, D. Riboli, E. Trichopoulos, D. Trichopoulou, A. Tsilidis, K.K.
- Abstract
Several studies have reported associations of hypertension with cancer, but not all results were conclusive. We examined the association of systolic (SBP) and diastolic (DBP) blood pressure with the development of incident cancer at all anatomical sites in the European Prospective Investigation into Cancer and Nutrition (EPIC). Hazard ratios (HRs) (95% confidence intervals) were estimated using multivariable Cox proportional hazards models, stratified by EPIC-participating center and age at recruitment, and adjusted for sex, education, smoking, body mass index, physical activity, diabetes and dietary (in women also reproductive) factors. The study included 307,318 men and women, with an average follow-up of 13.7 (standard deviation 4.4) years and 39,298 incident cancers. We confirmed the expected positive association with renal cell carcinoma: HR = 1.12 (1.08–1.17) per 10 mm Hg higher SBP and HR = 1.23 (1.14–1.32) for DBP. We additionally found positive associations for esophageal squamous cell carcinoma (SCC): HR = 1.16 (1.07–1.26) (SBP), HR = 1.31 (1.13–1.51) (DBP), weaker for head and neck cancers: HR = 1.08 (1.04–1.12) (SBP), HR = 1.09 (1.01–1.17) (DBP) and, similarly, for skin SCC, colon cancer, postmenopausal breast cancer and uterine adenocarcinoma (AC), but not for esophageal AC, lung SCC, lung AC or uterine endometroid cancer. We observed weak inverse associations of SBP with cervical SCC: HR = 0.91 (0.82–1.00) and lymphomas: HR = 0.97 (0.93–1.00). There were no consistent associations with cancers in other locations. Our results are largely compatible with published studies and support weak associations of blood pressure with cancers in specific locations and morphologies. © 2019 UICC
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- 2020
17. Blood pressure and risk of cancer in the European Prospective Investigation into Cancer and Nutrition
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Christakoudi, S., Kakourou, A., Markozannes, G., Tzoulaki, I., Weiderpass, E., Brennan, P., Gunter, M., Dahm, C.C., Overvad, K., Olsen, A., Tjønneland, A., Boutron-Ruault, M.-C., Madika, A.-L., Severi, G., Katzke, V., Kühn, T., Bergmann, M.M., Boeing, H., Karakatsani, A., Martimianaki, G., Thriskos, P., Masala, G., Sieri, S., Panico, S., Tumino, R., Ricceri, F., Agudo, A., Redondo-Sánchez, D., Colorado-Yohar, S.M., Mokoroa, O., Melander, O., Stocks, T., Häggström, C., Harlid, S., Bueno-de-Mesquita, B., van Gils, C.H., Vermeulen, R.C.H., Khaw, K.-T., Wareham, N.J., Tong, T.Y.N., Freisling, H., Johansson, M., Lennon, H., Aune, D., Riboli, E., Trichopoulos, D., Trichopoulou, A., Tsilidis, K.K., Christakoudi, S., Kakourou, A., Markozannes, G., Tzoulaki, I., Weiderpass, E., Brennan, P., Gunter, M., Dahm, C.C., Overvad, K., Olsen, A., Tjønneland, A., Boutron-Ruault, M.-C., Madika, A.-L., Severi, G., Katzke, V., Kühn, T., Bergmann, M.M., Boeing, H., Karakatsani, A., Martimianaki, G., Thriskos, P., Masala, G., Sieri, S., Panico, S., Tumino, R., Ricceri, F., Agudo, A., Redondo-Sánchez, D., Colorado-Yohar, S.M., Mokoroa, O., Melander, O., Stocks, T., Häggström, C., Harlid, S., Bueno-de-Mesquita, B., van Gils, C.H., Vermeulen, R.C.H., Khaw, K.-T., Wareham, N.J., Tong, T.Y.N., Freisling, H., Johansson, M., Lennon, H., Aune, D., Riboli, E., Trichopoulos, D., Trichopoulou, A., and Tsilidis, K.K.
- Abstract
Several studies have reported associations of hypertension with cancer, but not all results were conclusive. We examined the association of systolic (SBP) and diastolic (DBP) blood pressure with the development of incident cancer at all anatomical sites in the European Prospective Investigation into Cancer and Nutrition (EPIC). Hazard ratios (HRs) (95% confidence intervals) were estimated using multivariable Cox proportional hazards models, stratified by EPIC-participating center and age at recruitment, and adjusted for sex, education, smoking, body mass index, physical activity, diabetes and dietary (in women also reproductive) factors. The study included 307,318 men and women, with an average follow-up of 13.7 (standard deviation 4.4) years and 39,298 incident cancers. We confirmed the expected positive association with renal cell carcinoma: HR = 1.12 (1.08–1.17) per 10 mm Hg higher SBP and HR = 1.23 (1.14–1.32) for DBP. We additionally found positive associations for esophageal squamous cell carcinoma (SCC): HR = 1.16 (1.07–1.26) (SBP), HR = 1.31 (1.13–1.51) (DBP), weaker for head and neck cancers: HR = 1.08 (1.04–1.12) (SBP), HR = 1.09 (1.01–1.17) (DBP) and, similarly, for skin SCC, colon cancer, postmenopausal breast cancer and uterine adenocarcinoma (AC), but not for esophageal AC, lung SCC, lung AC or uterine endometroid cancer. We observed weak inverse associations of SBP with cervical SCC: HR = 0.91 (0.82–1.00) and lymphomas: HR = 0.97 (0.93–1.00). There were no consistent associations with cancers in other locations. Our results are largely compatible with published studies and support weak associations of blood pressure with cancers in specific locations and morphologies.
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- 2020
18. Association between anthropometry and lifestyle factors and risk of B-cell lymphoma: An exposome-wide analysis
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Saberi Hosnijeh, F. (Fatemeh), Casabonne, D. (Delphine), Nieters, A. (Alexandra), Solans, M. (Marta), Naudin, S. (Sabine), Ferrari, P. (Pietro), Mckay, J.D. (James D.), Benavente, Y. (Yolanda), Weiderpass, E. (Elisabete), Freisling, H. (Heinz), Severi, G. (Gianluca), Boutron Ruault, M.-C. (Marie-Christine), Besson, C. (Caroline), Agnoli, C. (Claudia), Masala, G. (Giovanna), Sacerdote, C. (Carlotta), Tumino, R. (Rosario), Huerta, J.M. (José María), Amiano, P. (Pilar), Rodriguez-Barranco, M. (Miguel), Bonet, C. (Catalina), Barricarte, A. (Aurelio), Christakoudi, S. (Sofia), Knuppel, A. (Anika), Bueno-de-Mesquita, B. (Bas), Schulze, M.B. (Matthias), Kaaks, R. (Rudolf), Canzian, F. (Federico), Späth, F. (Florentin), Jerkeman, M. (Mats), Rylander, C. (Charlotta), Tjønneland, A. (Anne), Olsen, A. (Anja), Borch, K.B. (Kristin Benjaminsen), Vermeulen, R. (Roel), Saberi Hosnijeh, F. (Fatemeh), Casabonne, D. (Delphine), Nieters, A. (Alexandra), Solans, M. (Marta), Naudin, S. (Sabine), Ferrari, P. (Pietro), Mckay, J.D. (James D.), Benavente, Y. (Yolanda), Weiderpass, E. (Elisabete), Freisling, H. (Heinz), Severi, G. (Gianluca), Boutron Ruault, M.-C. (Marie-Christine), Besson, C. (Caroline), Agnoli, C. (Claudia), Masala, G. (Giovanna), Sacerdote, C. (Carlotta), Tumino, R. (Rosario), Huerta, J.M. (José María), Amiano, P. (Pilar), Rodriguez-Barranco, M. (Miguel), Bonet, C. (Catalina), Barricarte, A. (Aurelio), Christakoudi, S. (Sofia), Knuppel, A. (Anika), Bueno-de-Mesquita, B. (Bas), Schulze, M.B. (Matthias), Kaaks, R. (Rudolf), Canzian, F. (Federico), Späth, F. (Florentin), Jerkeman, M. (Mats), Rylander, C. (Charlotta), Tjønneland, A. (Anne), Olsen, A. (Anja), Borch, K.B. (Kristin Benjaminsen), and Vermeulen, R. (Roel)
- Abstract
To better understand the role of individual and lifestyle factors in human disease, an exposome-wide association study was performed to investigate within a single-study anthropometry measures and lifestyle factors previously associated with B-cell lymphoma (BCL). Within the European Prospective Investigation into Cancer and nutrition study, 2402 incident BCL cases were diagnosed from 475 426 participants that were followed-up on average 14 years. Standard and penalized Cox regression models as well as principal component analysis (PCA) were used to evaluate 84 exposures in relation to BCL risk. Standard and penalized Cox regression models showed a positive association between anthropometric measures and BCL and multiple myeloma/plasma cell neoplasm (MM). The penalized Cox models additionally showed the association between several exposures from categories of physical activity, smoking status, medical history, socioeconomic position, diet and BCL and/or the subtypes. PCAs confirmed the individual a
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- 2020
- Full Text
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19. Blood pressure and risk of cancer in the European Prospective Investigation into Cancer and Nutrition
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IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Christakoudi, S., Kakourou, A., Markozannes, G., Tzoulaki, I., Weiderpass, E., Brennan, P., Gunter, M., Dahm, C.C., Overvad, K., Olsen, A., Tjønneland, A., Boutron-Ruault, M.-C., Madika, A.-L., Severi, G., Katzke, V., Kühn, T., Bergmann, M.M., Boeing, H., Karakatsani, A., Martimianaki, G., Thriskos, P., Masala, G., Sieri, S., Panico, S., Tumino, R., Ricceri, F., Agudo, A., Redondo-Sánchez, D., Colorado-Yohar, S.M., Mokoroa, O., Melander, O., Stocks, T., Häggström, C., Harlid, S., Bueno-de-Mesquita, B., van Gils, C.H., Vermeulen, R.C.H., Khaw, K.-T., Wareham, N.J., Tong, T.Y.N., Freisling, H., Johansson, M., Lennon, H., Aune, D., Riboli, E., Trichopoulos, D., Trichopoulou, A., Tsilidis, K.K., IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Christakoudi, S., Kakourou, A., Markozannes, G., Tzoulaki, I., Weiderpass, E., Brennan, P., Gunter, M., Dahm, C.C., Overvad, K., Olsen, A., Tjønneland, A., Boutron-Ruault, M.-C., Madika, A.-L., Severi, G., Katzke, V., Kühn, T., Bergmann, M.M., Boeing, H., Karakatsani, A., Martimianaki, G., Thriskos, P., Masala, G., Sieri, S., Panico, S., Tumino, R., Ricceri, F., Agudo, A., Redondo-Sánchez, D., Colorado-Yohar, S.M., Mokoroa, O., Melander, O., Stocks, T., Häggström, C., Harlid, S., Bueno-de-Mesquita, B., van Gils, C.H., Vermeulen, R.C.H., Khaw, K.-T., Wareham, N.J., Tong, T.Y.N., Freisling, H., Johansson, M., Lennon, H., Aune, D., Riboli, E., Trichopoulos, D., Trichopoulou, A., and Tsilidis, K.K.
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- 2020
20. Blood pressure and risk of cancer in the European Prospective Investigation into Cancer and Nutrition
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Christakoudi, S, Kakourou, A, Markozannes, G, Tzoulaki, I, Weiderpass, E, Brennan, P, Gunter, M, Dahm, CC, Overvad, K, Olsen, A, Tjonneland, A, Boutron-Ruault, M-C, Madika, A-L, Severi, G, Katzke, V, Kuehn, T, Bergmann, MM, Boeing, H, Karakatsani, A, Martimianaki, G, Thriskos, P, Masala, G, Sieri, S, Panico, S, Tumino, R, Ricceri, F, Agudo, A, Redondo-Sanchez, D, Colorado-Yohar, SM, Mokoroa, O, Melander, O, Stocks, T, Haggstrom, C, Harlid, S, Bueno-de-Mesquita, B, van Gils, CH, Vermeulen, RC, Khaw, K-T, Wareham, NJ, Tong, TYN, Freisling, H, Johansson, M, Lennon, H, AUne, D, Ribolil, E, Trichopoulos, D, Trichopoulou, A, Tsilidis, KK, Christakoudi, S, Kakourou, A, Markozannes, G, Tzoulaki, I, Weiderpass, E, Brennan, P, Gunter, M, Dahm, CC, Overvad, K, Olsen, A, Tjonneland, A, Boutron-Ruault, M-C, Madika, A-L, Severi, G, Katzke, V, Kuehn, T, Bergmann, MM, Boeing, H, Karakatsani, A, Martimianaki, G, Thriskos, P, Masala, G, Sieri, S, Panico, S, Tumino, R, Ricceri, F, Agudo, A, Redondo-Sanchez, D, Colorado-Yohar, SM, Mokoroa, O, Melander, O, Stocks, T, Haggstrom, C, Harlid, S, Bueno-de-Mesquita, B, van Gils, CH, Vermeulen, RC, Khaw, K-T, Wareham, NJ, Tong, TYN, Freisling, H, Johansson, M, Lennon, H, AUne, D, Ribolil, E, Trichopoulos, D, Trichopoulou, A, and Tsilidis, KK
- Abstract
Several studies have reported associations of hypertension with cancer, but not all results were conclusive. We examined the association of systolic (SBP) and diastolic (DBP) blood pressure with the development of incident cancer at all anatomical sites in the European Prospective Investigation into Cancer and Nutrition (EPIC). Hazard ratios (HRs) (95% confidence intervals) were estimated using multivariable Cox proportional hazards models, stratified by EPIC-participating center and age at recruitment, and adjusted for sex, education, smoking, body mass index, physical activity, diabetes and dietary (in women also reproductive) factors. The study included 307,318 men and women, with an average follow-up of 13.7 (standard deviation 4.4) years and 39,298 incident cancers. We confirmed the expected positive association with renal cell carcinoma: HR = 1.12 (1.08-1.17) per 10 mm Hg higher SBP and HR = 1.23 (1.14-1.32) for DBP. We additionally found positive associations for esophageal squamous cell carcinoma (SCC): HR = 1.16 (1.07-1.26) (SBP), HR = 1.31 (1.13-1.51) (DBP), weaker for head and neck cancers: HR = 1.08 (1.04-1.12) (SBP), HR = 1.09 (1.01-1.17) (DBP) and, similarly, for skin SCC, colon cancer, postmenopausal breast cancer and uterine adenocarcinoma (AC), but not for esophageal AC, lung SCC, lung AC or uterine endometroid cancer. We observed weak inverse associations of SBP with cervical SCC: HR = 0.91 (0.82-1.00) and lymphomas: HR = 0.97 (0.93-1.00). There were no consistent associations with cancers in other locations. Our results are largely compatible with published studies and support weak associations of blood pressure with cancers in specific locations and morphologies.
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- 2020
21. Mediation analysis of the alcohol-postmenopausal breast cancer relationship by sex hormones in the EPIC cohort
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Assi, N, Rinaldi, S, Viallon, V, Dashti, SG, Dossus, L, Fournier, A, Cervenka, I, Kvaskoff, M, Turzanski-Fortner, R, Bergmann, M, Boeing, H, Panico, S, Ricceri, F, Palli, D, Tumino, R, Grioni, S, Sanchez Perez, MJ, Chirlaque, M-D, Bonet, C, Barricarte Gurrea, A, Amiano Etxezarreta, P, Merino, S, de Mesquita, HBB, van Gils, CH, Onland-Moret, C, Tjonneland, A, Overvad, K, Trichopoulou, A, Martimianaki, G, Karakatsani, A, Key, T, Christakoudi, S, Ellingjord-Dale, M, Tsilidis, K, Riboli, E, Kaaks, R, Gunter, MJ, Ferrari, P, Assi, N, Rinaldi, S, Viallon, V, Dashti, SG, Dossus, L, Fournier, A, Cervenka, I, Kvaskoff, M, Turzanski-Fortner, R, Bergmann, M, Boeing, H, Panico, S, Ricceri, F, Palli, D, Tumino, R, Grioni, S, Sanchez Perez, MJ, Chirlaque, M-D, Bonet, C, Barricarte Gurrea, A, Amiano Etxezarreta, P, Merino, S, de Mesquita, HBB, van Gils, CH, Onland-Moret, C, Tjonneland, A, Overvad, K, Trichopoulou, A, Martimianaki, G, Karakatsani, A, Key, T, Christakoudi, S, Ellingjord-Dale, M, Tsilidis, K, Riboli, E, Kaaks, R, Gunter, MJ, and Ferrari, P
- Abstract
Alcohol consumption is associated with higher risk of breast cancer (BC); however, the biological mechanisms underlying this association are not fully elucidated, particularly the extent to which this relationship is mediated by sex hormone levels. Circulating concentrations of estradiol, testosterone, their free fractions and sex-hormone binding globulin (SHBG), were examined in 430 incident BC cases and 645 matched controls among alcohol-consuming postmenopausal women nested within the European Prospective Investigation into Cancer and Nutrition. Mediation analysis was applied to assess whether individual hormone levels mediated the relationship between alcohol intake and BC risk. An alcohol-related hormonal signature, obtained by partial least square (PLS) regression, was evaluated as a potential mediator. Total (TE), natural direct and natural indirect effects (NIE) were estimated. Alcohol intake was positively associated with overall BC risk and specifically with estrogen receptor-positive tumors with respectively TE = 1.17(95%CI: 1.01,1.35) and 1.36(1.08,1.70) for a 1-standard deviation (1-SD) increase of intake. There was no evidence of mediation by sex steroids or SHBG separately except for a weak indirect effect through free estradiol where NIE = 1.03(1.00,1.06). However, an alcohol-related hormonal signature negatively associated with SHBG and positively with estradiol and testosterone was associated with BC risk (odds ratio [OR] = 1.25 [1.07,1.47]) for a 1-SD higher PLS score, and had a statistically significant NIE accounting for a mediated proportion of 24%. There was limited evidence of mediation of the alcohol-BC association by individual sex hormones. However, a hormonal signature, reflecting lower levels of SHBG and higher levels of sex steroids, mediated a substantial proportion of the association.
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- 2020
22. Reproductive and Lifestyle Factors and Circulating sRANKL and OPG Concentrations in Women: Results from the EPIC Cohort
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Sarink, D. Yang, J. Johnson, T. Chang-Claude, J. Overvad, K. Olsen, A. Tjønneland, A. Fournier, A. Mancini, F.R. Kvaskoff, M. Boeing, H. Trichopoulou, A. Karakatsani, A. Valanou, E. Agnoli, C. Sacerdote, C. Masala, G. Mattiello, A. Tumino, R. Van Gils, C.H. Skeie, G. Gram, I.T. Weiderpass, E. Lujan-Barroso, L. Petrova, D. Santiuste, C. Quirós, J.R. Barricarte, A. Amiano, P. Travis, R.C. Gunter, M. Dossus, L. Christakoudi, S. Kaaks, R. Fortner, R.T.
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musculoskeletal diseases - Abstract
Background: Except for a documented increase in osteoprotegerin (OPG) concentrations with older age, data on determinants of soluble Receptor Activator of Nuclear Factor kB (sRANKL) and OPG concentrations in women are limited. We evaluated reproductive and lifestyle factors as potential sources of variation in circulating sRANKL and OPG concentrations in pre- and postmenopausal women. Methods: This study includes 2,016 controls [n = 1,552 (76%) postmenopausal, n = 757 (38%) using postmenopausal hormone therapy (PMH)] from a breast cancer case-control study nested in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Serum sRANKL was measured using an ELISA and serum OPG using an electrochemiluminescent assay. Generalized linear models were used to evaluate associations between these analytes and reproductive and lifestyle factors. Results: Older age at blood collection was associated with lower sRANKL concentrations in postmenopausal women (Ptrend < 0.03) and higher OPG concentrations in all women (Ptrend < 0.01). Longer duration of oral contraceptive use among premenopausal women and postmenopausal PMH users was associated with higher OPG (Ptrend < 0.04). In postmenopausal non-PMH users, sRANKL concentrations were lower with longer duration of oral contraceptive use and current (vs. never) smoking (P < 0.01). sRANKL concentrations were higher among women with higher BMI (Ptrend < 0.01). The evaluated factors accounted for 12% of the variation in sRANKL concentrations and 21% of the variation in OPG concentrations. Conclusions: Circulating sRANKL and OPG concentrations are minimally impacted by hormone-related factors in pre- and postmenopausal women. Impact: This study suggests circulating concentrations of sRANKL and OPG are unlikely to be strongly modified by hormone-related reproductive and lifestyle factors. © 2019 American Association for Cancer Research.
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- 2019
23. Prospective analysis of circulating metabolites and breast cancer in EPIC
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His, M. Viallon, V. Dossus, L. Gicquiau, A. Achaintre, D. Scalbert, A. Ferrari, P. Romieu, I. Onland-Moret, N.C. Weiderpass, E. Dahm, C.C. Overvad, K. Olsen, A. Tjønneland, A. Fournier, A. Rothwell, J.A. Severi, G. Kühn, T. Fortner, R.T. Boeing, H. Trichopoulou, A. Karakatsani, A. Martimianaki, G. Masala, G. Sieri, S. Tumino, R. Vineis, P. Panico, S. Van Gils, C.H. Nøst, T.H. Sandanger, T.M. Skeie, G. Quirós, J.R. Agudo, A. Sánchez, M.-J. Amiano, P. Huerta, J.M. Ardanaz, E. Schmidt, J.A. Travis, R.C. Riboli, E. Tsilidis, K.K. Christakoudi, S. Gunter, M.J. Rinaldi, S.
- Abstract
Background: Metabolomics is a promising molecular tool to identify novel etiologic pathways leading to cancer. Using a targeted approach, we prospectively investigated the associations between metabolite concentrations in plasma and breast cancer risk. Methods: A nested case-control study was established within the European Prospective Investigation into Cancer cohort, which included 1624 first primary incident invasive breast cancer cases (with known estrogen and progesterone receptor and HER2 status) and 1624 matched controls. Metabolites (n = 127, acylcarnitines, amino acids, biogenic amines, glycerophospholipids, hexose, sphingolipids) were measured by mass spectrometry in pre-diagnostic plasma samples and tested for associations with breast cancer incidence using multivariable conditional logistic regression. Results: Among women not using hormones at baseline (n = 2248), and after control for multiple tests, concentrations of arginine (odds ratio [OR] per SD = 0.79, 95% confidence interval [CI] = 0.70-0.90), asparagine (OR = 0.83 (0.74-0.92)), and phosphatidylcholines (PCs) ae C36:3 (OR = 0.83 (0.76-0.90)), aa C36:3 (OR = 0.84 (0.77-0.93)), ae C34:2 (OR = 0.85 (0.78-0.94)), ae C36:2 (OR = 0.85 (0.78-0.88)), and ae C38:2 (OR = 0.84 (0.76-0.93)) were inversely associated with breast cancer risk, while the acylcarnitine C2 (OR = 1.23 (1.11-1.35)) was positively associated with disease risk. In the overall population, C2 (OR = 1.15 (1.06-1.24)) and PC ae C36:3 (OR = 0.88 (0.82-0.95)) were associated with risk of breast cancer, and these relationships did not differ by breast cancer subtype, age at diagnosis, fasting status, menopausal status, or adiposity. Conclusions: These findings point to potentially novel pathways and biomarkers of breast cancer development. Results warrant replication in other epidemiological studies. © 2019 The Author(s).
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- 2019
24. Prospective analysis of circulating metabolites and breast cancer in EPIC
- Author
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His, M, Viallon, V, Dossus, L, Gicquiau, A, Achaintre, D, Scalbert, A, Ferrari, P, Romieu, I, Onland-Moret, NC, Weiderpass, E, Dahm, CC, Overvad, K, Olsen, A, Tjonneland, A, Fournier, A, Rothwell, JA, Severi, G, Kuehn, T, Fortner, RT, Boeing, H, Trichopoulou, A, Karakatsani, A, Martimianaki, G, Masala, G, Sieri, S, Tumino, R, Vineis, P, Panico, S, van Gils, CH, Nost, TH, Sandanger, TM, Skeie, G, Quiros, JR, Agudo, A, Sanchez, M-J, Amiano, P, Maria Huerta, J, Ardanaz, E, Schmidt, JA, Travis, RC, Riboli, E, Tsilidis, KK, Christakoudi, S, Gunter, MJ, Rinaldi, S, His, M, Viallon, V, Dossus, L, Gicquiau, A, Achaintre, D, Scalbert, A, Ferrari, P, Romieu, I, Onland-Moret, NC, Weiderpass, E, Dahm, CC, Overvad, K, Olsen, A, Tjonneland, A, Fournier, A, Rothwell, JA, Severi, G, Kuehn, T, Fortner, RT, Boeing, H, Trichopoulou, A, Karakatsani, A, Martimianaki, G, Masala, G, Sieri, S, Tumino, R, Vineis, P, Panico, S, van Gils, CH, Nost, TH, Sandanger, TM, Skeie, G, Quiros, JR, Agudo, A, Sanchez, M-J, Amiano, P, Maria Huerta, J, Ardanaz, E, Schmidt, JA, Travis, RC, Riboli, E, Tsilidis, KK, Christakoudi, S, Gunter, MJ, and Rinaldi, S
- Abstract
BACKGROUND: Metabolomics is a promising molecular tool to identify novel etiologic pathways leading to cancer. Using a targeted approach, we prospectively investigated the associations between metabolite concentrations in plasma and breast cancer risk. METHODS: A nested case-control study was established within the European Prospective Investigation into Cancer cohort, which included 1624 first primary incident invasive breast cancer cases (with known estrogen and progesterone receptor and HER2 status) and 1624 matched controls. Metabolites (n = 127, acylcarnitines, amino acids, biogenic amines, glycerophospholipids, hexose, sphingolipids) were measured by mass spectrometry in pre-diagnostic plasma samples and tested for associations with breast cancer incidence using multivariable conditional logistic regression. RESULTS: Among women not using hormones at baseline (n = 2248), and after control for multiple tests, concentrations of arginine (odds ratio [OR] per SD = 0.79, 95% confidence interval [CI] = 0.70-0.90), asparagine (OR = 0.83 (0.74-0.92)), and phosphatidylcholines (PCs) ae C36:3 (OR = 0.83 (0.76-0.90)), aa C36:3 (OR = 0.84 (0.77-0.93)), ae C34:2 (OR = 0.85 (0.78-0.94)), ae C36:2 (OR = 0.85 (0.78-0.88)), and ae C38:2 (OR = 0.84 (0.76-0.93)) were inversely associated with breast cancer risk, while the acylcarnitine C2 (OR = 1.23 (1.11-1.35)) was positively associated with disease risk. In the overall population, C2 (OR = 1.15 (1.06-1.24)) and PC ae C36:3 (OR = 0.88 (0.82-0.95)) were associated with risk of breast cancer, and these relationships did not differ by breast cancer subtype, age at diagnosis, fasting status, menopausal status, or adiposity. CONCLUSIONS: These findings point to potentially novel pathways and biomarkers of breast cancer development. Results warrant replication in other epidemiological studies.
- Published
- 2019
25. Erratum to:Methods for evaluating medical tests and biomarkers
- Author
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Gopalakrishna, G, Langendam, M, Scholten, R, Bossuyt, P, Leeflang, M, Noel-Storr, A, Thomas, J, Marshall, I, Wallace, B, Whiting, P, Davenport, C, GopalaKrishna, G, De Salis, I, Mallett, S, Wolff, R, Riley, R, Westwood, M, Kleinen, J, Collins, G, Reitsma, H, Moons, K, Zapf, A, Hoyer, A, Kramer, K, Kuss, O, Ensor, J, Deeks, JJ, Martin, EC, Riley, RD, Rücker, G, Steinhauser, S, Schumacher, M, Snell, K, Willis, B, Debray, T, Deeks, J, Di Ruffano, LF, Taylor-Phillips, S, Hyde, C, Taylor, SA, Batnagar, G, STREAMLINE COLON Investigators, STREAMLINE LUNG Investigators, METRIC Investigators, Seedat, F, Clarke, A, Byron, S, Nixon, F, Albrow, R, Walker, T, Deakin, C, Zhelev, Z, Hunt, H, Yang, Y, Abel, L, Buchanan, J, Fanshawe, T, Shinkins, B, Wynants, L, Verbakel, J, Van Huffel, S, Timmerman, D, Van Calster, B, Zwinderman, A, Oke, J, O'Sullivan, J, Perera, R, Nicholson, B, Bromley, HL, Roberts, TE, Francis, A, Petrie, D, Mann, GB, Malottki, K, Smith, H, Billingham, L, Sitch, A, Gerke, O, Holm-Vilstrup, M, Segtnan, EA, Halekoh, U, Høilund-Carlsen, PF, Francq, BG, Dinnes, J, Parkes, J, Gregory, W, Hewison, J, Altman, D, Rosenberg, W, Selby, P, Asselineau, J, Perez, P, Paye, A, Bessede, E, Proust-Lima, C, Naaktgeboren, C, De Groot, J, Rutjes, A, Reitsma, J, Ogundimu, E, Cook, J, Le Manach, Y, Vergouwe, Y, Pajouheshnia, R, Groenwold, R, Peelen, L, Nieboer, D, De Cock, B, Pencina, MJ, Steyerberg, EW, Cooper, J, Parsons, N, Stinton, C, Smith, S, Dickens, A, Jordan, R, Enocson, A, Fitzmaurice, D, Adab, P, Boachie, C, Vidmar, G, Freeman, K, Connock, M, Court, R, Moons, C, Harris, J, Mumford, A, Plummer, Z, Lee, K, Reeves, B, Rogers, C, Verheyden, V, Angelini, GD, Murphy, GJ, Huddy, J, Ni, M, Good, K, Cooke, G, Hanna, G, Ma, J, Moons, KGMC, De Groot, JAH, Altman, DG, Reitsma, JB, Collins, GS, Moons, KGM, Kamarudin, AN, Kolamunnage-Dona, R, Cox, T, Borsci, S, Pérez, T, Pardo, MC, Candela-Toha, A, Muriel, A, Zamora, J, Sanghera, S, Mohiuddin, S, Martin, R, Donovan, J, Coast, J, Seo, MK, Cairns, J, Mitchell, E, Smith, A, Wright, J, Hall, P, Messenger, M, Calder, N, Wickramasekera, N, Vinall-Collier, K, Lewington, A, Damen, J, Cairns, D, Hutchinson, M, Sturgeon, C, Mitchel, L, Kift, R, Christakoudi, S, Rungall, M, Mobillo, P, Montero, R, Tsui, T-L, Kon, SP, Tucker, B, Sacks, S, Farmer, C, Strom, T, Chowdhury, P, Rebollo-Mesa, I, Hernandez-Fuentes, M, Damen, JAAG, Debray, TPA, Heus, P, Hooft, L, Scholten, RJPM, Schuit, E, Tzoulaki, I, Lassale, CM, Siontis, GCM, Chiocchia, V, Roberts, C, Schlüssel, MM, Gerry, S, Black, JA, Van der Schouw, YT, Peelen, LM, Spence, G, McCartney, D, Van den Bruel, A, Lasserson, D, Hayward, G, Vach, W, De Jong, A, Burggraaff, C, Hoekstra, O, Zijlstra, J, De Vet, H, Graziadio, S, Allen, J, Johnston, L, O'Leary, R, Power, M, Johnson, L, Waters, R, Simpson, J, Fanshawe, TR, Phillips, P, Plumb, A, Helbren, E, Halligan, S, Gale, A, Sekula, P, Sauerbrei, W, Forman, JR, Dutton, SJ, Takwoingi, Y, Hensor, EM, Nichols, TE, Kempf, E, Porcher, R, De Beyer, J, Hopewell, S, Dennis, J, Shields, B, Jones, A, Henley, W, Pearson, E, Hattersley, A, MASTERMIND consortium, Scheibler, F, Rummer, A, Sturtz, S, Großelfinger, R, Banister, K, Ramsay, C, Azuara-Blanco, A, Burr, J, Kumarasamy, M, Bourne, R, Uchegbu, I, Murphy, J, Carter, A, Marti, J, Eatock, J, Robotham, J, Dudareva, M, Gilchrist, M, Holmes, A, Monaghan, P, Lord, S, StJohn, A, Sandberg, S, Cobbaert, C, Lennartz, L, Verhagen-Kamerbeek, W, Ebert, C, Horvath, A, Test Evaluation Working Group of the European Federation of Clinical Chemistry and Laboratory Medicine, Jenniskens, K, Peters, J, Grigore, B, Ukoumunne, O, Levis, B, Benedetti, A, Levis, AW, Ioannidis, JPA, Shrier, I, Cuijpers, P, Gilbody, S, Kloda, LA, McMillan, D, Patten, SB, Steele, RJ, Ziegelstein, RC, Bombardier, CH, Osório, FDL, Fann, JR, Gjerdingen, D, Lamers, F, Lotrakul, M, Loureiro, SR, Löwe, B, Shaaban, J, Stafford, L, Van Weert, HCPM, Whooley, MA, Williams, LS, Wittkampf, KA, Yeung, AS, Thombs, BD, Cooper, C, Nieto, T, Smith, C, Tucker, O, Dretzke, J, Beggs, A, Rai, N, Bayliss, S, Stevens, S, Mallet, S, Sundar, S, Hall, E, Porta, N, Estelles, DL, De Bono, J, CTC-STOP protocol development group, and National Institute for Health Research
- Subjects
medicine.medical_specialty ,Astrophysics::High Energy Astrophysical Phenomena ,MEDLINE ,030204 cardiovascular system & hematology ,BTC (Bristol Trials Centre) ,MASTERMIND consortium ,03 medical and health sciences ,0302 clinical medicine ,medicine ,030212 general & internal medicine ,Intensive care medicine ,CTC-STOP protocol development group ,lcsh:R5-920 ,business.industry ,Test Evaluation Working Group of the European Federation of Clinical Chemistry and Laboratory Medicine ,Published Erratum ,STREAMLINE COLON Investigators ,3. Good health ,STREAMLINE LUNG Investigators ,Centre for Surgical Research ,Family medicine ,METRIC Investigators ,High Energy Physics::Experiment ,Erratum ,business ,lcsh:Medicine (General) - Abstract
[This corrects the article DOI: 10.1186/s41512-016-0001-y.].
- Published
- 2017
- Full Text
- View/download PDF
26. Erratum to: Methods for evaluating medical tests and biomarkers.
- Author
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Gopalakrishna, G, Langendam, M, Scholten, R, Bossuyt, P, Leeflang, M, Noel-Storr, A, Thomas, J, Marshall, I, Wallace, B, Whiting, P, Davenport, C, GopalaKrishna, G, de Salis, I, Mallett, S, Wolff, R, Riley, R, Westwood, M, Kleinen, J, Collins, G, Reitsma, H, Moons, K, Zapf, A, Hoyer, A, Kramer, K, Kuss, O, Ensor, J, Deeks, JJ, Martin, EC, Riley, RD, Rücker, G, Steinhauser, S, Schumacher, M, Snell, K, Willis, B, Debray, T, Deeks, J, di Ruffano, LF, Taylor-Phillips, S, Hyde, C, Taylor, SA, Batnagar, G, STREAMLINE COLON Investigators, STREAMLINE LUNG Investigators, METRIC Investigators, Di Ruffano, LF, Seedat, F, Clarke, A, Byron, S, Nixon, F, Albrow, R, Walker, T, Deakin, C, Zhelev, Z, Hunt, H, Yang, Y, Abel, L, Buchanan, J, Fanshawe, T, Shinkins, B, Wynants, L, Verbakel, J, Van Huffel, S, Timmerman, D, Van Calster, B, Zwinderman, A, Oke, J, O'Sullivan, J, Perera, R, Nicholson, B, Bromley, HL, Roberts, TE, Francis, A, Petrie, D, Mann, GB, Malottki, K, Smith, H, Billingham, L, Sitch, A, Gerke, O, Holm-Vilstrup, M, Segtnan, EA, Halekoh, U, Høilund-Carlsen, PF, Francq, BG, Dinnes, J, Parkes, J, Gregory, W, Hewison, J, Altman, D, Rosenberg, W, Selby, P, Asselineau, J, Perez, P, Paye, A, Bessede, E, Proust-Lima, C, Naaktgeboren, C, de Groot, J, Rutjes, A, Reitsma, J, Ogundimu, E, Cook, J, Le Manach, Y, Vergouwe, Y, Pajouheshnia, R, Groenwold, R, Peelen, L, Nieboer, D, De Cock, B, Pencina, MJ, Steyerberg, EW, Cooper, J, Parsons, N, Stinton, C, Smith, S, Dickens, A, Jordan, R, Enocson, A, Fitzmaurice, D, Adab, P, Boachie, C, Vidmar, G, Freeman, K, Connock, M, Court, R, Moons, C, Harris, J, Mumford, A, Plummer, Z, Lee, K, Reeves, B, Rogers, C, Verheyden, V, Angelini, GD, Murphy, GJ, Huddy, J, Ni, M, Good, K, Cooke, G, Hanna, G, Ma, J, Moons, KGMC, de Groot, JAH, Altman, DG, Reitsma, JB, Collins, GS, Moons, KGM, Kamarudin, AN, Kolamunnage-Dona, R, Cox, T, Borsci, S, Pérez, T, Pardo, MC, Candela-Toha, A, Muriel, A, Zamora, J, Sanghera, S, Mohiuddin, S, Martin, R, Donovan, J, Coast, J, Seo, MK, Cairns, J, Mitchell, E, Smith, A, Wright, J, Hall, P, Messenger, M, Calder, N, Wickramasekera, N, Vinall-Collier, K, Lewington, A, Damen, J, Cairns, D, Hutchinson, M, Sturgeon, C, Mitchel, L, Kift, R, Christakoudi, S, Rungall, M, Mobillo, P, Montero, R, Tsui, T-L, Kon, SP, Tucker, B, Sacks, S, Farmer, C, Strom, T, Chowdhury, P, Rebollo-Mesa, I, Hernandez-Fuentes, M, Damen, JAAG, Debray, TPA, Heus, P, Hooft, L, Scholten, RJPM, Schuit, E, Tzoulaki, I, Lassale, CM, Siontis, GCM, Chiocchia, V, Roberts, C, Schlüssel, MM, Gerry, S, Black, JA, van der Schouw, YT, Peelen, LM, Spence, G, McCartney, D, van den Bruel, A, Lasserson, D, Hayward, G, Vach, W, de Jong, A, Burggraaff, C, Hoekstra, O, Zijlstra, J, de Vet, H, Graziadio, S, Allen, J, Johnston, L, O'Leary, R, Power, M, Johnson, L, Waters, R, Simpson, J, Fanshawe, TR, Phillips, P, Plumb, A, Helbren, E, Halligan, S, Gale, A, Sekula, P, Sauerbrei, W, Forman, JR, Dutton, SJ, Takwoingi, Y, Hensor, EM, Nichols, TE, Kempf, E, Porcher, R, de Beyer, J, Hopewell, S, Dennis, J, Shields, B, Jones, A, Henley, W, Pearson, E, Hattersley, A, MASTERMIND consortium, Scheibler, F, Rummer, A, Sturtz, S, Großelfinger, R, Banister, K, Ramsay, C, Azuara-Blanco, A, Burr, J, Kumarasamy, M, Bourne, R, Uchegbu, I, Murphy, J, Carter, A, Marti, J, Eatock, J, Robotham, J, Dudareva, M, Gilchrist, M, Holmes, A, Monaghan, P, Lord, S, StJohn, A, Sandberg, S, Cobbaert, C, Lennartz, L, Verhagen-Kamerbeek, W, Ebert, C, Horvath, A, Test Evaluation Working Group of the European Federation of Clinical Chemistry and Laboratory Medicine, Jenniskens, K, Peters, J, Grigore, B, Ukoumunne, O, Levis, B, Benedetti, A, Levis, AW, Ioannidis, JPA, Shrier, I, Cuijpers, P, Gilbody, S, Kloda, LA, McMillan, D, Patten, SB, Steele, RJ, Ziegelstein, RC, Bombardier, CH, Osório, FDL, Fann, JR, Gjerdingen, D, Lamers, F, Lotrakul, M, Loureiro, SR, Löwe, B, Shaaban, J, Stafford, L, van Weert, HCPM, Whooley, MA, Williams, LS, Wittkampf, KA, Yeung, AS, Thombs, BD, Cooper, C, Nieto, T, Smith, C, Tucker, O, Dretzke, J, Beggs, A, Rai, N, Bayliss, S, Stevens, S, Mallet, S, Sundar, S, Hall, E, Porta, N, Estelles, DL, de Bono, J, CTC-STOP protocol development group, Gopalakrishna, G, Langendam, M, Scholten, R, Bossuyt, P, Leeflang, M, Noel-Storr, A, Thomas, J, Marshall, I, Wallace, B, Whiting, P, Davenport, C, GopalaKrishna, G, de Salis, I, Mallett, S, Wolff, R, Riley, R, Westwood, M, Kleinen, J, Collins, G, Reitsma, H, Moons, K, Zapf, A, Hoyer, A, Kramer, K, Kuss, O, Ensor, J, Deeks, JJ, Martin, EC, Riley, RD, Rücker, G, Steinhauser, S, Schumacher, M, Snell, K, Willis, B, Debray, T, Deeks, J, di Ruffano, LF, Taylor-Phillips, S, Hyde, C, Taylor, SA, Batnagar, G, STREAMLINE COLON Investigators, STREAMLINE LUNG Investigators, METRIC Investigators, Di Ruffano, LF, Seedat, F, Clarke, A, Byron, S, Nixon, F, Albrow, R, Walker, T, Deakin, C, Zhelev, Z, Hunt, H, Yang, Y, Abel, L, Buchanan, J, Fanshawe, T, Shinkins, B, Wynants, L, Verbakel, J, Van Huffel, S, Timmerman, D, Van Calster, B, Zwinderman, A, Oke, J, O'Sullivan, J, Perera, R, Nicholson, B, Bromley, HL, Roberts, TE, Francis, A, Petrie, D, Mann, GB, Malottki, K, Smith, H, Billingham, L, Sitch, A, Gerke, O, Holm-Vilstrup, M, Segtnan, EA, Halekoh, U, Høilund-Carlsen, PF, Francq, BG, Dinnes, J, Parkes, J, Gregory, W, Hewison, J, Altman, D, Rosenberg, W, Selby, P, Asselineau, J, Perez, P, Paye, A, Bessede, E, Proust-Lima, C, Naaktgeboren, C, de Groot, J, Rutjes, A, Reitsma, J, Ogundimu, E, Cook, J, Le Manach, Y, Vergouwe, Y, Pajouheshnia, R, Groenwold, R, Peelen, L, Nieboer, D, De Cock, B, Pencina, MJ, Steyerberg, EW, Cooper, J, Parsons, N, Stinton, C, Smith, S, Dickens, A, Jordan, R, Enocson, A, Fitzmaurice, D, Adab, P, Boachie, C, Vidmar, G, Freeman, K, Connock, M, Court, R, Moons, C, Harris, J, Mumford, A, Plummer, Z, Lee, K, Reeves, B, Rogers, C, Verheyden, V, Angelini, GD, Murphy, GJ, Huddy, J, Ni, M, Good, K, Cooke, G, Hanna, G, Ma, J, Moons, KGMC, de Groot, JAH, Altman, DG, Reitsma, JB, Collins, GS, Moons, KGM, Kamarudin, AN, Kolamunnage-Dona, R, Cox, T, Borsci, S, Pérez, T, Pardo, MC, Candela-Toha, A, Muriel, A, Zamora, J, Sanghera, S, Mohiuddin, S, Martin, R, Donovan, J, Coast, J, Seo, MK, Cairns, J, Mitchell, E, Smith, A, Wright, J, Hall, P, Messenger, M, Calder, N, Wickramasekera, N, Vinall-Collier, K, Lewington, A, Damen, J, Cairns, D, Hutchinson, M, Sturgeon, C, Mitchel, L, Kift, R, Christakoudi, S, Rungall, M, Mobillo, P, Montero, R, Tsui, T-L, Kon, SP, Tucker, B, Sacks, S, Farmer, C, Strom, T, Chowdhury, P, Rebollo-Mesa, I, Hernandez-Fuentes, M, Damen, JAAG, Debray, TPA, Heus, P, Hooft, L, Scholten, RJPM, Schuit, E, Tzoulaki, I, Lassale, CM, Siontis, GCM, Chiocchia, V, Roberts, C, Schlüssel, MM, Gerry, S, Black, JA, van der Schouw, YT, Peelen, LM, Spence, G, McCartney, D, van den Bruel, A, Lasserson, D, Hayward, G, Vach, W, de Jong, A, Burggraaff, C, Hoekstra, O, Zijlstra, J, de Vet, H, Graziadio, S, Allen, J, Johnston, L, O'Leary, R, Power, M, Johnson, L, Waters, R, Simpson, J, Fanshawe, TR, Phillips, P, Plumb, A, Helbren, E, Halligan, S, Gale, A, Sekula, P, Sauerbrei, W, Forman, JR, Dutton, SJ, Takwoingi, Y, Hensor, EM, Nichols, TE, Kempf, E, Porcher, R, de Beyer, J, Hopewell, S, Dennis, J, Shields, B, Jones, A, Henley, W, Pearson, E, Hattersley, A, MASTERMIND consortium, Scheibler, F, Rummer, A, Sturtz, S, Großelfinger, R, Banister, K, Ramsay, C, Azuara-Blanco, A, Burr, J, Kumarasamy, M, Bourne, R, Uchegbu, I, Murphy, J, Carter, A, Marti, J, Eatock, J, Robotham, J, Dudareva, M, Gilchrist, M, Holmes, A, Monaghan, P, Lord, S, StJohn, A, Sandberg, S, Cobbaert, C, Lennartz, L, Verhagen-Kamerbeek, W, Ebert, C, Horvath, A, Test Evaluation Working Group of the European Federation of Clinical Chemistry and Laboratory Medicine, Jenniskens, K, Peters, J, Grigore, B, Ukoumunne, O, Levis, B, Benedetti, A, Levis, AW, Ioannidis, JPA, Shrier, I, Cuijpers, P, Gilbody, S, Kloda, LA, McMillan, D, Patten, SB, Steele, RJ, Ziegelstein, RC, Bombardier, CH, Osório, FDL, Fann, JR, Gjerdingen, D, Lamers, F, Lotrakul, M, Loureiro, SR, Löwe, B, Shaaban, J, Stafford, L, van Weert, HCPM, Whooley, MA, Williams, LS, Wittkampf, KA, Yeung, AS, Thombs, BD, Cooper, C, Nieto, T, Smith, C, Tucker, O, Dretzke, J, Beggs, A, Rai, N, Bayliss, S, Stevens, S, Mallet, S, Sundar, S, Hall, E, Porta, N, Estelles, DL, de Bono, J, and CTC-STOP protocol development group
- Abstract
[This corrects the article DOI: 10.1186/s41512-016-0001-y.].
- Published
- 2017
27. Implementing a fast method for urine steroid hydrolysis prior to GC-MS analysis
- Author
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Vincent RP, Christakoudi S
- Published
- 2008
- Full Text
- View/download PDF
28. Prospective analysis of circulating metabolites and breast cancer in EPIC
- Author
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José María Huerta, Salvatore Panico, Antonia Trichopoulou, Joseph A. Rothwell, Sabina Sieri, Anja Olsen, Christina C. Dahm, Ruth C. Travis, Audrey Gicquiau, Pilar Amiano, Elisabete Weiderpass, N. Charlotte Onland-Moret, Antonio Agudo, Anna Karakatsani, Isabelle Romieu, Paolo Vineis, Mathilde His, Elio Riboli, Marc J. Gunter, Guri Skeie, Tilman Kühn, Augustin Scalbert, Carla H. van Gils, Georgia Martimianaki, Therese Haugdahl Nøst, Anne Tjønneland, Heiner Boeing, Laure Dossus, Pietro Ferrari, Julie A. Schmidt, Rosario Tumino, Konstantinos K. Tsilidis, David Achaintre, Torkjel M. Sandanger, Agnès Fournier, Sofia Christakoudi, María José Sánchez, Vivian Viallon, Renée T. Fortner, Kim Overvad, Giovanna Masala, Sabina Rinaldi, J. Ramón Quirós, Gianluca Severi, Eva Ardanaz, [His,M, Viallon,V, Dossus,L, Gicquiau,A, Achaintre,D, Scalbert,A, Ferrari,P, Weiderpass,E, Gunter,MJ, Rinaldi,S] International Agency for Research on Cancer, Lyon, France. [Romieu,I] Centre for Research on Population Health, National Institute of Public Health, Cuernavaca, Mexico. [Onland-Moret,NC, van Gils,CH] Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, the Netherlands. [Dahm,CC, Overvad,K] Department of Public Health, Aarhus University, Aarhus, Denmark. [Overvad,K] Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark. [Olsen,A, Tjønneland,A] Danish Cancer Society Research Center, Copenhagen, Denmark. [Tjønneland,A] University of Copenhagen, Copenhagen, Denmark. [Fournier,A, Rothwell,JA, Severi,G] CESP, Université Paris-Sud, UVSQ, INSERM, Université Paris-Saclay, Villejuif, France. [Fournier,A, Severi,G] Gustave Roussy, Villejuif, France. [Kühn,T, Fortner,R] Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany. [Boeing,H] Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), Nuthetal, Germany. [Trichopoulou,A, Karakatsani,A, Martimianaki,G] Hellenic Health Foundation, Athens, Greece. [Karakatsani,A] Pulmonary Medicine Department, School of Medicine, National and Kapodistrian University of Athens, 'ATTIKON' University Hospital, Haidari, Greece. [Masala,G] Cancer Risk Factors and Life-Style Epidemiology Unit, Institute for Cancer Research, Prevention and Clinical Network – ISPRO, Florence, Italy. [Sieri,S] Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Milan, Italy. [Tumino,R] Cancer Registry and Histopathology Department, 'M.P.Arezzo'Hospital, ASP Ragusa, Ragusa, Italy. [Vineis,P] Italian Institute for Genomic Medicine (IIGM), Turin, Italy. [Vineis,P] MRC-PHE Centre for Environment and Health, School of Public Health, Imperial College London, London, UK. [Panico,S] Dipartimento di medicina clinica e chirurgia, Federico II University, Naples, Italy. [Nøst,TH, Sandanger,TM, Skeie,G] Department of Community Medicine, UiT the Arctic University of Norway, Tromso, Norway. [Skeie,G] Nutritional Epidemiology Group, School of Food Science and Nutrition, University of Leeds, Leeds, UK. [Quirós,JR] Public Health Directorate, Asturias, Spain. [Agudo,A] Unit of Nutrition and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology-IDIBELL, L’Hospitalet de Llobregat, Barcelona, Spain. [Sánchez,MJ] Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria ibs.GRANADA, Universidad de Granada, Granada, Spain. [Sánchez,MJ, Amiano,P, Huerta,JM, Ardanaz,E] CIBER Epidemiology and Public Health CIBERESP, Madrid, Spain. [Amiano,P] Public Health Division of Gipuzkoa, BioDonostia Research Institute, San Sebastian, Spain. [Huerta,JM] Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain. [Ardanaz,E] Navarra Public Health Institute, Pamplona, Spain. [Ardanaz,E] IdiSNA, Navarra Institute for Health Research, Pamplona, Spain. [Schmidt,JA, Travis,RC] Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK. [Riboli,E, Tsilidis,KK, Christakoudi,S] Department of Epidemiology and Biostatistics, Imperial College London, St Mary’s Campus, Norfolk Place, London, UK. [Tsilidis,KK] Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece. [Christakoudi,S] MRC Centre for Transplantation, King’s College London, Great Maze Pond, London, SE1 9RT, UK, This work was funded by the French National Cancer Institute (grant number 2015-166). The coordination of EPIC is financially supported by the European Commission (DG-SANCO) and the International Agency for Research on Cancer. The national cohorts are supported by Danish Cancer Society (Denmark), Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Générale de l’Education Nationale, Institut National de la Santé et de la Recherche Médicale (INSERM) (France), German Cancer Aid, German Cancer Research Center (DKFZ), Federal Ministry of Education and Research (BMBF), Deutsche Krebshilfe, Deutsches Krebsforschungszentrum and Federal Ministry of Education and Research (Germany), the Hellenic Health Foundation (Greece), Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy and National Research Council (Italy), Dutch Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands), European Research Council (ERC-2009-AdG 232997), and Nordforsk, Nordic Centre of Excellence Programme on Food, Nutrition and Health (Norway), Regional Governments of Andalucía, Asturias, Basque Country, Murcia (no. 6236), Navarra, and the CERCA Program (Generalitat de Catalunya) (Spain), Swedish Cancer Society, Swedish Research Council and County Councils of Skåne and Västerbotten (Sweden), and Cancer Research UK (14136 to EPIC-Norfolk, and C570/A16491 and C8221/A19170 to EPIC-Oxford), Medical Research Council (1000143 to EPIC-Norfolk, MR/M012190/1 to EPIC-Oxford) (United Kingdom).
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0301 basic medicine ,Oncology ,lcsh:Medicine ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Probability::Risk::Risk Factors [Medical Subject Headings] ,Mass Spectrometry ,Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings] ,Cohort Studies ,0302 clinical medicine ,Breast cancer ,Information Science::Information Science::Data Collection::Vital Statistics::Morbidity::Incidence [Medical Subject Headings] ,Risk Factors ,Estudios prospectivos ,Prospective Studies ,Prospective cohort study ,11 Medical and Health Sciences ,Persons::Persons::Age Groups::Adult::Aged [Medical Subject Headings] ,education.field_of_study ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Case-Control Studies [Medical Subject Headings] ,VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801 ,Incidence ,Disciplines and Occupations::Natural Science Disciplines::Biological Science Disciplines::Biochemistry::Metabolomics [Medical Subject Headings] ,General Medicine ,Metabolómica ,Middle Aged ,metabolomics ,3. Good health ,Research Design ,030220 oncology & carcinogenesis ,Cohort ,Neoplasias de la mama ,Female ,Chemicals and Drugs::Biological Factors::Biological Markers::Biomarkers, Pharmacological [Medical Subject Headings] ,Cohort study ,Research Article ,prospective study ,Adult ,medicine.medical_specialty ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies::Longitudinal Studies::Prospective Studies [Medical Subject Headings] ,Population ,Breast Neoplasms ,Càncer de mama ,03 medical and health sciences ,breast cancer ,Internal medicine ,Cell Line, Tumor ,General & Internal Medicine ,medicine ,Journal Article ,Metabolomics ,Humans ,Prospective study ,education ,Persons::Persons::Age Groups::Adult [Medical Subject Headings] ,Diseases::Neoplasms::Neoplasms by Site::Breast Neoplasms [Medical Subject Headings] ,Aged ,business.industry ,lcsh:R ,Case-control study ,Cancer ,Persons::Persons::Age Groups::Adult::Middle Aged [Medical Subject Headings] ,Odds ratio ,medicine.disease ,030104 developmental biology ,Check Tags::Female [Medical Subject Headings] ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies [Medical Subject Headings] ,Case-Control Studies ,VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801 ,business ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Chemistry Techniques, Analytical::Mass Spectrometry [Medical Subject Headings] ,Biomarkers - Abstract
BackgroundMetabolomics is a promising molecular tool to identify novel etiologic pathways leading to cancer. Using a targeted approach, we prospectively investigated the associations between metabolite concentrations in plasma and breast cancer risk.MethodsA nested case-control study was established within the European Prospective Investigation into Cancer cohort, which included 1624 first primary incident invasive breast cancer cases (with known estrogen and progesterone receptor and HER2 status) and 1624 matched controls. Metabolites (n = 127, acylcarnitines, amino acids, biogenic amines, glycerophospholipids, hexose, sphingolipids) were measured by mass spectrometry in pre-diagnostic plasma samples and tested for associations with breast cancer incidence using multivariable conditional logistic regression.ResultsAmong women not using hormones at baseline (n = 2248), and after control for multiple tests, concentrations of arginine (odds ratio [OR] per SD = 0.79, 95% confidence interval [CI] = 0.70–0.90), asparagine (OR = 0.83 (0.74–0.92)), and phosphatidylcholines (PCs) ae C36:3 (OR = 0.83 (0.76–0.90)), aa C36:3 (OR = 0.84 (0.77–0.93)), ae C34:2 (OR = 0.85 (0.78–0.94)), ae C36:2 (OR = 0.85 (0.78–0.88)), and ae C38:2 (OR = 0.84 (0.76–0.93)) were inversely associated with breast cancer risk, while the acylcarnitine C2 (OR = 1.23 (1.11–1.35)) was positively associated with disease risk. In the overall population, C2 (OR = 1.15 (1.06–1.24)) and PC ae C36:3 (OR = 0.88 (0.82–0.95)) were associated with risk of breast cancer, and these relationships did not differ by breast cancer subtype, age at diagnosis, fasting status, menopausal status, or adiposity.ConclusionsThese findings point to potentially novel pathways and biomarkers of breast cancer development. Results warrant replication in other epidemiological studies.
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- 2019
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29. Weight change in middle adulthood and risk of cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort
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Amanda J. Cross, Kristin Benjaminsen Borch, Renée T. Fortner, Vittorio Simeon, Paul Brennan, Guri Skeie, Elio Riboli, Rosario Tumino, Elisabete Weiderpass, Gianluca Severi, Carlotta Sacerdote, Kim Overvad, Manuela M. Bergmann, Isabel Drake, Sara Grioni, Panagiota Pagoni, Giovanna Masala, Pietro Ferrari, Heinz Freisling, Matthias B. Schulze, Maria Dolores Chirlaque, Pilar Amiano, Mattias Johansson, Ioanna Tzoulaki, Konstantinos K. Tsilidis, Timothy J. Key, J. Ramón Quirós, Eva Ardanaz, Antonio Agudo, Neil Murphy, Marie-Christine Boutron-Ruault, Christel Häggström, Sofia Christakoudi, Rudolf Kaaks, Merete Ellingjord-Dale, Sophia Harlid, Charlotta Rylander, Tanja Stocks, Anne Tjønneland, Fanny Artaud, Laure Dossus, Jytte Halkjær, Miguel Rodríguez-Barranco, Aurora Perez-Cornago, David C. Muller, Centre International de Recherche contre le Cancer - International Agency for Research on Cancer (CIRC - IARC), Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Centre de recherche en épidémiologie et santé des populations (CESP), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Paul Brousse-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris-Saclay, Kræftens Bekæmpelse, DCS German Cancer Research Center, DKFZ Centre International de Recherche sur le Cancer, CIRC National Research Council, NRC Medical Research Council, MRC: MC_UU_00011/6, MR/M012190/1 Cancer Research UK, CRUK: C570/A16491, C8221/A19170 World Cancer Research Fund, WCRF European Commission, EC Institut National de la Santé et de la Recherche Médicale, Inserm Bundesministerium für Bildung und Forschung, BMBF Cancerfonden Ministerie van Volksgezondheid, Welzijn en Sport, VWS Ligue Contre le Cancer Vetenskapsrådet, VR Associazione Italiana per la Ricerca sul Cancro, AIRC Deutsche Krebshilfe Rijksinstituut voor Volksgezondheid en Milieu, RIVM Institut Gustave-Roussy Mutuelle Générale de l'Education Nationale, MGEN NIHR Imperial Biomedical Research Centre, BRC Fondation Gustave Roussy, The authors thank the National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands, for their contribution and ongoing support to the EPIC study. The coordination of EPIC is financially supported by the European Commission (DG-SANCO) and the International Agency for Research on Cancer. The national cohorts are supported by Danish Cancer Society (Kr?ftens Bek?mpelse) (Denmark), Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle G?n?rale de l'Education Nationale, Institut National de la Sant? et de la Recherche M?dicale (INSERM) (France), German Cancer Aid (Deutsche Krebshilfe), German Cancer Research Center (Deutsches Krebsforschungszentrum, DKFZ), Federal Ministry of Education and Research (Bundesministerium f?r Bildung und Forschung, BMBF) (Germany), Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy and National Research Council (Italy), Dutch Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands), Health Research Fund (FIS-ISCIII), Regional Governments of Andaluc?a, Asturias, Basque Country, Murcia, Navarra, and the Catalan Institute of Oncology (Barcelona) (Spain), Swedish Cancer Society (Cancerfonden), Swedish Research Council (Vetenskapsr?det), County Councils of Sk?ne and V?sterbotten (Sweden), Cancer Research UK (C570/A16491 and C8221/A19170 to EPIC-Oxford), Medical Research Council (MR/M012190/1 to EPIC-Oxford) (United Kingdom). Panagiota Pagoni is funded by Medical Research Council (grant reference MC_UU_00011/6). Infrastructure support for the Department of Epidemiology and Biostatistics at Imperial College London (UK) was provided by the NIHR Imperial Biomedical Research Centre (BRC). The funders had no role in the design and conduct of the study, the collection, analysis and interpretation of the data, or the preparation, review and approval of the manuscript, or in the decision to submit the manuscript for publication., The authors thank the National Institute for Public Health and the Environment (RIVM), Bilthoven, the Netherlands, for their contribution and ongoing support to the EPIC study. The coordination of EPIC is financially supported by the European Commission (DG‐SANCO) and the International Agency for Research on Cancer. The national cohorts are supported by Danish Cancer Society (Kræftens Bekæmpelse) (Denmark), Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Générale de l'Education Nationale, Institut National de la Santé et de la Recherche Médicale (INSERM) (France), German Cancer Aid (Deutsche Krebshilfe), German Cancer Research Center (Deutsches Krebsforschungszentrum, DKFZ), Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung, BMBF) (Germany), Associazione Italiana per la Ricerca sul Cancro‐AIRC‐Italy and National Research Council (Italy), Health Research Fund (FIS‐ISCIII), Regional Governments of Andalucía, Asturias, Basque Country, Murcia, Navarra, and the Catalan Institute of Oncology (Barcelona) (Spain), Swedish Cancer Society (Cancerfonden), Swedish Research Council (Vetenskapsrådet), County Councils of Skåne and Västerbotten (Sweden), Cancer Research UK (C570/A16491 and C8221/A19170 to EPIC‐Oxford), Medical Research Council (MR/M012190/1 to EPIC‐Oxford) (United Kingdom). Panagiota Pagoni is funded by Medical Research Council (grant reference MC_UU_00011/6). Infrastructure support for the Department of Epidemiology and Biostatistics at Imperial College London (UK) was provided by the NIHR Imperial Biomedical Research Centre (BRC). The funders had no role in the design and conduct of the study, the collection, analysis and interpretation of the data, or the preparation, review and approval of the manuscript, or in the decision to submit the manuscript for publication., Associazione Italiana per la Ricerca sul Cancro, Bundesministerium für Bildung und Forschung, Cancer Research UK, Grant/Award Numbers: C570/A16491, C8221/A19170, Cancerfonden, Catalan Institute of Oncology Barcelona, Centre International de Recherche sur le Cancer, County Council of Skåne Sweden, County Council of Västerbotten Sweden, Deutsche Krebshilfe, Deutsches Krebsforschungszentrum, Directorate‐General for Health and Consumers, Dutch Ministry of Public Health, Welfare and Sports (VWS), Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), Health Research Fund (FIS‐ISCIII) Spain, Institut Gustave‐Roussy, Institut National de la Santé et de la Recherche Médicale, Kræftens Bekæmpelse, Ligue Contre le Cancer, LK Research Funds, Medical Research Council, Grant/Award Numbers: MC_UU_00011/6, MR/M012190/1, Mutuelle Générale de l'Education Nationale, National Research Council Italy, Netherlands Cancer Registry, Regional Government of Andalucía, Regional Government of Asturias, Regional Government of Basque Country, Regional Government of Murcia, Regional Government of Navarra, Statistics Netherlands, Vetenskapsrådet, World Cancer Research Fund (WCRF), Institut Gustave Roussy, International Agency for Research on Cancer, European Commission (DG‐SANCO) Funding information, Christakoudi, S., Pagoni, P., Ferrari, P., Cross, A. J., Tzoulaki, I., Muller, D. C., Weiderpass, E., Freisling, H., Murphy, N., Dossus, L., Turzanski Fortner, R., Agudo, A., Overvad, K., Perez-Cornago, A., Key, T. J., Brennan, P., Johansson, M., Tjonneland, A., Halkjaer, J., Boutron-Ruault, M. -C., Artaud, F., Severi, G., Kaaks, R., Schulze, M. B., Bergmann, M. M., Masala, G., Grioni, S., Simeon, V., Tumino, R., Sacerdote, C., Skeie, G., Rylander, C., Borch, K. B., Quiros, J. R., Rodriguez-Barranco, M., Chirlaque, M. -D., Ardanaz, E., Amiano, P., Drake, I., Stocks, T., Haggstrom, C., Harlid, S., Ellingjord-Dale, M., Riboli, E., Tsilidis, K. K., and Cancer Research UK
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Male ,Cancer Research ,middle adulthood ,Overweight ,Body Mass Index ,Cohort Studies ,0302 clinical medicine ,Weight loss ,Risk Factors ,Neoplasms ,Prospective Studies ,Correlation of Data ,2. Zero hunger ,Ovarian Neoplasms ,Obstetrics ,Hazard ratio ,PROLIFERATION ,WOMEN ,weight gain ,Middle Aged ,Kidney Neoplasms ,3. Good health ,European Prospective Investigation into Cancer and Nutrition ,BMI change ,Europe ,Oncology ,030220 oncology & carcinogenesis ,ddc:540 ,Female ,SQUAMOUS-CELL CARCINOMA ,medicine.symptom ,Life Sciences & Biomedicine ,EXPRESSION ,medicine.medical_specialty ,Breast Neoplasms ,[SDV.CAN]Life Sciences [q-bio]/Cancer ,03 medical and health sciences ,LEPTIN ,FATNESS ,medicine ,Humans ,cancer ,1112 Oncology and Carcinogenesis ,Oncology & Carcinogenesis ,Obesity ,Risk factor ,Proportional Hazards Models ,Cancer och onkologi ,Science & Technology ,business.industry ,Weight change ,Endometrial Neoplasms ,BODY-MASS INDEX ,ESTROGEN-RECEPTORS ,Pancreatic Neoplasms ,Nutrition Assessment ,Cancer and Oncology ,Institut für Ernährungswissenschaft ,GAIN ,weight loss ,business ,Weight gain ,Body mass index - Abstract
International audience; Obesity is a risk factor for several major cancers. Associations of weight change in middle adulthood with cancer risk, however, are less clear. We examined the association of change in weight and body mass index (BMI) category during middle adulthood with 42 cancers, using multivariable Cox proportional hazards models in the European Prospective Investigation into Cancer and Nutrition cohort. Of 241 323 participants (31% men), 20% lost and 32% gained weight (>0.4 to 5.0 kg/year) during 6.9 years (average). During 8.0 years of follow-up after the second weight assessment, 20 960 incident cancers were ascertained. Independent of baseline BMI, weight gain (per one kg/year increment) was positively associated with cancer of the corpus uteri (hazard ratio [HR] = 1.14; 95% confidence interval: 1.05-1.23). Compared to stable weight (±0.4 kg/year), weight gain (>0.4 to 5.0 kg/year) was positively associated with cancers of the gallbladder and bile ducts (HR = 1.41; 1.01-1.96), postmenopausal breast (HR = 1.08; 1.00-1.16) and thyroid (HR = 1.40; 1.04-1.90). Compared to maintaining normal weight, maintaining overweight or obese BMI (World Health Organisation categories) was positively associated with most obesity-related cancers. Compared to maintaining the baseline BMI category, weight gain to a higher BMI category was positively associated with cancers of the postmenopausal breast (HR = 1.19; 1.06-1.33), ovary (HR = 1.40; 1.04-1.91), corpus uteri (HR = 1.42; 1.06-1.91), kidney (HR = 1.80; 1.20-2.68) and pancreas in men (HR = 1.81; 1.11-2.95). Losing weight to a lower BMI category, however, was inversely associated with cancers of the corpus uteri (HR = 0.40; 0.23-0.69) and colon (HR = 0.69; 0.52-0.92). Our findings support avoiding weight gain and encouraging weight loss in middle adulthood.
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- 2021
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30. Examining causal relationships between educational attainment and type 2 diabetes using genetic analysis: findings from the EPIC-InterAct study through Mendelian randomisation.
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Macciotta A, Sacerdote C, Giachino C, Di Girolamo C, Franco M, van der Schouw YT, Zamora-Ros R, Weiderpass E, Domenighetti C, Elbaz A, Truong T, Agnoli C, Bendinelli B, Panico S, Vineis P, Christakoudi S, Schulze MB, Katzke V, Bajracharya R, Dahm CC, Dalton SO, Colorado-Yohar SM, Moreno-Iribas C, Etxezarreta PA, Sanchez MJ, Forouhi NG, Wareham N, and Ricceri F
- Abstract
Introduction: Observational studies have shown that more educated people are at lower risk of developing type 2 diabetes (T2D). However, robust study designs are needed to investigate the likelihood that such a relationship is causal. This study used genetic instruments for education to estimate the effect of education on T2D using the Mendelian randomisation (MR) approach., Methods: Analyses have been conducted in the European Prospective Investigation into Cancer and Nutrition (EPIC)-InterAct study (more than 20 000 individuals), a case-cohort study of T2D nested in the EPIC cohort. Education was measured as Years of Education and Relative Index of Inequality. Prentice-weighted Cox models were performed to estimate the association between education and T2D. One-sample MR analyses investigated whether genetic predisposition towards longer education was associated with risk of T2D and investigated potential mediators of the association., Results: MR estimates indicated a risk reduction of about 15% for each year of longer education on the risk of developing T2D, confirming the protective role estimated by observational models (HR 0.96, 95% CI 0.95 to 0.96). MR analyses on putative mediators showed a significant role of education on body mass index, alcohol consumption, adherence to the Mediterranean diet and smoking habits., Conclusion: The results supported the hypothesis that higher education is a protective factor for the risk of developing T2D. Based on its position in the causal chain, education may be antecedent of other known risk factors for T2D including unhealthy behaviours. These findings reinforce evidence obtained through observational study designs and bridge the gap between correlation and causation., Competing Interests: Competing interests: None declared., (© Author(s) (or their employer(s)) 2024. No commercial re-use. See rights and permissions. Published by BMJ.)
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- 2024
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31. Perturbations in the blood metabolome up to a decade before prostate cancer diagnosis in 4387 matched case-control sets from the European Prospective Investigation into Cancer and Nutrition.
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Grenville ZS, Noor U, Rinaldi S, Gunter MJ, Ferrari P, Agnoli C, Amiano P, Catalano A, Chirlaque MD, Christakoudi S, Guevara M, Johansson M, Kaaks R, Katzke V, Masala G, Olsen A, Papier K, Sánchez MJ, Schulze MB, Tjønneland A, Tong TYN, Tumino R, Weiderpass E, Zamora-Ros R, Key TJ, Smith-Byrne K, Schmidt JA, and Travis RC
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- Humans, Male, Case-Control Studies, Middle Aged, Prospective Studies, Aged, Europe epidemiology, Risk Factors, Phosphatidylcholines blood, Biomarkers, Tumor blood, Metabolomics methods, Carnitine analogs & derivatives, Carnitine blood, Prostatic Neoplasms blood, Prostatic Neoplasms diagnosis, Prostatic Neoplasms epidemiology, Metabolome
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Measuring pre-diagnostic blood metabolites may help identify novel risk factors for prostate cancer. Using data from 4387 matched case-control pairs from the European Prospective Investigation into Cancer and Nutrition (EPIC) study, we investigated the associations of 148 individual metabolites and three previously defined metabolite patterns with prostate cancer risk. Metabolites were measured by liquid chromatography-mass spectrometry. Multivariable-adjusted conditional logistic regression was used to estimate the odds ratio per standard deviation increase in log metabolite concentration and metabolite patterns (OR1SD) for prostate cancer overall, and for advanced, high-grade, aggressive. We corrected for multiple testing using the Benjamini-Hochberg method. Overall, there were no associations between specific metabolites or metabolite patterns and overall, aggressive, or high-grade prostate cancer that passed the multiple testing threshold (padj <0.05). Six phosphatidylcholines (PCs) were inversely associated with advanced prostate cancer diagnosed at or within 10 years of blood collection. metabolite patterns 1 (64 PCs and three hydroxysphingomyelins) and 2 (two acylcarnitines, glutamate, ornithine, and taurine) were also inversely associated with advanced prostate cancer; when stratified by follow-up time, these associations were observed for diagnoses at or within 10 years of recruitment (OR
1SD 0.80, 95% CI 0.66-0.96 and 0.76, 0.59-0.97, respectively) but were weaker after longer follow-up (0.95, 0.82-1.10 and 0.85, 0.67-1.06). Pattern 3 (8 lyso PCs) was associated with prostate cancer death (0.82, 0.68-0.98). Our results suggest that the plasma metabolite profile changes in response to the presence of prostate cancer up to a decade before detection of advanced-stage disease., (© 2024 The Author(s). International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.)- Published
- 2025
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32. Allometric fat mass index and alanine aminotransferase attenuate the associations of platelet parameters with lung cancer risk.
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Christakoudi S, Tsilidis KK, Gunter MJ, and Riboli E
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- Humans, Male, Female, Middle Aged, Platelet Count, Aged, Risk Factors, Body Composition, Mean Platelet Volume, Adult, Proportional Hazards Models, Lung Neoplasms blood, Lung Neoplasms pathology, Alanine Transaminase blood, Body Mass Index, Blood Platelets metabolism
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We have previously shown that body mass index attenuates a positive association of platelet count (PLT) and inverse of mean platelet volume (MPV) with lung cancer risk in men. It is unclear whether fat mass, lean mass, or liver function tests (LFTs) show similar attenuations. Using bioelectrical impedance measurements (UK Biobank cohort) and multivariable Cox proportional hazards models, we examined the associations of allometric fat-mass index (AFI, fat mass adjusted for height), allometric lean-mass index (ALI, fat-free mass adjusted for height and fat mass), and LFTs with lung cancer risk and their multiplicative and additive interactions with platelet parameters. Based on 1573 lung cancer cases in men and 1473 in women with body composition measurements (1541 in men; 1428 in women with biomarker measurements), AFI in women, ALI in both sexes, alanine aminotransferase (ALT) and total bilirubin in men were inversely associated, while gamma-glutamyl transferase in men and alkaline phosphatase in both sexes were positively associated with lung cancer risk. Only AFI and ALT interacted inversely with PLT and positively with MPV in men. The attenuation of the associations of platelet parameters with lung cancer risk by high-AFI and high-ALT in men suggests that adiposity-related factors hinder lung-cancer-related platelet associations., (© 2024. The Author(s).)
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- 2024
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33. Prognostic role of pre-diagnostic circulating inflammatory biomarkers in breast cancer survival: evidence from the EPIC cohort study.
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Castro-Espin C, Cairat M, Navionis AS, Dahm CC, Antoniussen CS, Tjønneland A, Mellemkjær L, Mancini FR, Hajji-Louati M, Severi G, Le Cornet C, Kaaks R, Schulze MB, Masala G, Agnoli C, Sacerdote C, Crous-Bou M, Sánchez MJ, Amiano P, Chirlaque MD, Guevara M, Smith-Byrne K, Heath AK, Christakoudi S, Gunter MJ, Rinaldi S, Agudo A, and Dossus L
- Subjects
- Humans, Female, Middle Aged, Prognosis, Aged, Postmenopause blood, Cohort Studies, Interleukin-10 blood, Adult, Tumor Necrosis Factor-alpha blood, Proportional Hazards Models, Breast Neoplasms mortality, Breast Neoplasms blood, Breast Neoplasms diagnosis, Breast Neoplasms pathology, Inflammation blood, Inflammation mortality, Biomarkers, Tumor blood, Interleukin-6 blood
- Abstract
Background: Inflammation influences tumour progression and cancer prognosis, but its role preceding breast cancer (BC) and its prognostic implications remain inconclusive., Methods: We studied pre-diagnostic plasma inflammatory biomarkers in 1538 women with BC from the EPIC study. Cox proportional hazards models assessed their relationship with all-cause and BC-specific mortality, adjusting for tumour characteristics and lifestyle factors., Results: Over a 7-year follow-up after diagnosis, 229 women died, 163 from BC. Elevated IL-6 levels were associated with increased all-cause mortality risk (HR
1-SD 1.25, 95% CI 1.07-1.47). Among postmenopausal, IL-6 was associated with higher all-cause (HR1-SD 1.41, 95% CI 1.18-1.69) and BC-specific mortality (HR1-SD 1.31, 95% CI 1.03-1.66), (PHeterogeneity (pre/postmenopausal) < 0.05 for both), while IL-10 and TNFα were associated with all-cause mortality only (HR1-SD 1.19, 95% CI 1.02-1.40 and HR1-SD 1.28, 95% CI 1.06-1.56). Among ER+PR+, IL-10 was associated with all-cause and BC-specific mortality (HR1-SD 1.35, 95% CI 1.10-1.65 and HR1-SD 1.42 95% CI 1.08-1.86), while TNF-α was associated with all-cause mortality in HER2- (HR1-SD 1.31, 95% CI 1.07-1.61). An inflammatory score predicted higher all-cause mortality, especially in postmenopausal women (HR1-SD 1.30, 95% CI 1.07-1.58)., Conclusions: Higher pre-diagnosis IL-6 levels suggest poorer long-term survival among BC survivors. In postmenopausal survivors, elevated IL-6, IL-10, and TNFα and inflammatory scores seem to predict all-cause mortality., (© 2024. The Author(s).)- Published
- 2024
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34. Adiposity assessed close to diagnosis and prostate cancer prognosis in the EPIC study.
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Cariolou M, Christakoudi S, Gunter MJ, Key T, Pérez-Cornago A, Travis R, Zamora-Ros R, Petersen KET, Tjønneland A, Weiderpass E, Kaaks R, Seibold P, Inan-Eroglu E, Schulze MB, Masala G, Agnoli C, Tumino R, Di Girolamo C, Aizpurua A, Rodriguez-Barranco M, Santiuste C, Guevara M, Aune D, Chan DSM, Muller DC, and Tsilidis KK
- Subjects
- Humans, Male, Middle Aged, Prognosis, Prospective Studies, Risk Factors, Aged, Obesity complications, Europe epidemiology, Cause of Death, Prostatic Neoplasms mortality, Prostatic Neoplasms diagnosis, Prostatic Neoplasms pathology, Body Mass Index, Adiposity, Waist Circumference, Proportional Hazards Models, Waist-Hip Ratio
- Abstract
Background: Adiposity has been characterized as a modifiable risk factor for prostate cancer. Its association with outcomes after prostate cancer diagnosis, however, must be better understood, and more evidence is needed to facilitate the development of lifestyle guidance for patients with prostate cancer., Methods: We investigated the associations between adiposity indices close to prostate cancer diagnosis (up to 2 years before or up to 5 years after diagnosis) and mortality in 1968 men of the European Prospective Investigation into Cancer and Nutrition cohort. Men were followed up for a median of 9.5 years. Cox proportional hazards models were adjusted for age and year of diagnosis, disease stage and grade, and smoking history and stratified by country., Results: Each 5-unit increment in prediagnosis or postdiagnosis body mass index combined was associated with a 30% higher rate of all-cause mortality and a 49% higher rate of prostate cancer-specific mortality. Similarly, each 5-unit increment in prediagnosis body mass index was associated with a 35% higher rate of all-cause mortality and a 51% higher rate of prostate cancer-specific mortality. The associations were less strong for postdiagnosis body mass index, with a lower number of men in analyses. Less clear positive associations were shown for waist circumference, hip circumference, and waist to hip ratio, but data were limited., Conclusions: Elevated levels of adiposity close to prostate cancer diagnosis could lead to higher risk of mortality; therefore, men are encouraged to maintain a healthy weight. Additional research is needed to confirm whether excessive adiposity after prostate cancer diagnosis could worsen prognosis., (© The Author(s) 2024. Published by Oxford University Press.)
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- 2024
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35. Association of body shape phenotypes and body fat distribution indexes with inflammatory biomarkers in the European Prospective Investigation into Cancer and Nutrition (EPIC) and UK Biobank.
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González-Gil EM, Peruchet-Noray L, Sedlmeier AM, Christakoudi S, Biessy C, Navionis AS, Mahamat-Saleh Y, Jaafar RF, Baurecht H, Guevara M, Etxezarreta PA, Verschuren WMM, Boer JMA, Olsen A, Tjønneland A, Simeon V, Castro-Espin C, Aune D, Heath AK, Gunter M, Colorado-Yohar SM, Zilhão NR, Dahm CC, Llanaj E, Schulze MB, Petrova D, Sieri S, Ricceri F, Masala G, Key T, Viallon V, Rinaldi S, Freisling H, and Dossus L
- Subjects
- Female, Humans, Male, Anthropometry methods, Body Mass Index, C-Reactive Protein analysis, Cross-Sectional Studies, Europe epidemiology, Inflammation, Phenotype, Prospective Studies, UK Biobank, United Kingdom epidemiology, Biomarkers blood, Body Fat Distribution
- Abstract
Background: The allometric body shape index (ABSI) and hip index (HI), as well as multi-trait body shape phenotypes, have not yet been compared in their associations with inflammatory markers. The aim of this study was to examine the relationship between novel and traditional anthropometric indexes with inflammation using data from the European Prospective Investigation into Cancer and Nutrition (EPIC) and UK Biobank cohorts., Methods: Participants from EPIC (n = 17,943, 69.1% women) and UK Biobank (n = 426,223, 53.2% women) with data on anthropometric indexes and C-reactive protein (CRP) were included in this cross-sectional analysis. A subset of women in EPIC also had at least one measurement for interleukins, tumour necrosis factor alpha, interferon gamma, leptin, and adiponectin. Four distinct body shape phenotypes were derived by a principal component (PC) analysis on height, weight, body mass index (BMI), waist (WC) and hip circumferences (HC), and waist-to-hip ratio (WHR). PC1 described overall adiposity, PC2 tall with low WHR, PC3 tall and centrally obese, and PC4 high BMI and weight with low WC and HC, suggesting an athletic phenotype. ABSI, HI, waist-to-height ratio and waist-to-hip index (WHI) were also calculated. Linear regression models were carried out separately in EPIC and UK Biobank stratified by sex and adjusted for age, smoking status, education, and physical activity. Results were additionally combined in a random-effects meta-analysis., Results: Traditional anthropometric indexes, particularly BMI, WC, and weight were positively associated with CRP levels, in men and women. Body shape phenotypes also showed distinct associations with CRP. Specifically, PC2 showed inverse associations with CRP in EPIC and UK Biobank in both sexes, similarly to height. PC3 was inversely associated with CRP among women, whereas positive associations were observed among men., Conclusions: Specific indexes of body size and body fat distribution showed differential associations with inflammation in adults. Notably, our results suggest that in women, height may mitigate the impact of a higher WC and HC on inflammation. This suggests that subtypes of adiposity exhibit substantial variation in their inflammatory potential, which may have implications for inflammation-related chronic diseases., (© 2024. The Author(s).)
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- 2024
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36. Circulating endogenous sex steroids and risk of differentiated thyroid carcinoma in men and women.
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Rinaldi S, Dossus L, Keski-Rahkonen P, Kiss A, Navionis AS, Biessy C, Travis R, Weiderpass E, Romieu I, Eriksen AK, Tjonneland A, Kvaskoff M, Canonico M, Truong T, Katzke V, Kaaks R, Catalano A, Panico S, Masala G, Tumino R, Lukic M, Olsen KS, Zamora-Ros R, Santiuste C, Aizpurua Atxega A, Guevara M, Rodriguez-Barranco M, Sandstrom M, Hennings J, Almquist M, Aglago Kouassivi E, Christakoudi S, Gunter M, and Franceschi S
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- Male, Female, Humans, Androstenedione, Progesterone, Prospective Studies, Gonadal Steroid Hormones, Estradiol, Estrone, Testosterone, Sex Hormone-Binding Globulin metabolism, Thyroid Neoplasms epidemiology, Adenocarcinoma
- Abstract
Thyroid cancer (TC) is substantially more common in women than in men, pointing to a possible role of sex steroid hormones. We investigated the association between circulating sex steroid hormones, sex hormone binding globulin (SHBG) and the risk of differentiated TC in men and women within the European Prospective Investigation into Cancer and nutrition (EPIC) cohort. During follow-up, we identified 333 first primary incident cases of differentiated TC (152 in pre/peri-menopausal women, 111 in post-menopausal women, and 70 in men) and 706 cancer-free controls. Women taking exogenous hormones at blood donation were excluded. Plasma concentrations of testosterone, androstenedione, dehydroepiandrosterone, estradiol, estrone and progesterone (in pre-menopausal women only) were performed using liquid chromatography/mass spectrometry method. SHBG concentrations were measured by immunoassay. Odds ratios (ORs) were estimated using conditional logistic regression models adjusted for possible confounders. No significant associations were observed in men and postmenopausal women, while a borderline significant increase in differentiated TC risk was observed with increasing testosterone (adjusted OR T3 vs T1: 1.68, 95% CI: 0.96-2.92, p
trend = .06) and androstenedione concentrations in pre/perimenopausal women (adjusted OR T3 vs T1: 1.78, 95% CI: 0.96-3.30, ptrend = .06, respectively). A borderline decrease in risk was observed for the highest progesterone/estradiol ratio (adjusted OR T3 vs T1: 0.54, 95% CI: 0.28-1.05, ptrend = .07). Overall, our results do not support a major role of circulating sex steroids in the etiology of differentiated TC in post-menopausal women and men but may suggest an involvement of altered sex steroid production in pre-menopausal women., (© 2024 The World Health Organization. The World Health Organization retains copyright and all other rights in the manuscript of this article as submitted for publication.)- Published
- 2024
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37. Prospective associations of leucocyte subtypes and obesity with the risk of developing cutaneous malignant melanoma in the UK Biobank cohort.
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Christakoudi S, Tsilidis KK, and Riboli E
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- Humans, Female, Male, Middle Aged, United Kingdom epidemiology, Prospective Studies, Aged, Melanoma, Cutaneous Malignant, Risk Factors, Biological Specimen Banks, Adult, Leukocyte Count, Monocytes immunology, Neutrophils, Leukocytes, Proportional Hazards Models, UK Biobank, Melanoma epidemiology, Melanoma pathology, Skin Neoplasms epidemiology, Skin Neoplasms pathology, Obesity complications, Obesity epidemiology, Body Mass Index
- Abstract
Background: Obesity is associated with chronic low-grade inflammation, which is linked to cancer development. Abdominal obesity (a body mass index, ABSI), however, has unusually been associated inversely with cutaneous malignant melanoma (CMM), while general obesity (body mass index, BMI) is associated positively. Leucocytes participate in inflammation and are higher in obesity, but prospective associations of leucocytes with cutaneous malignant melanoma are unclear., Methods: We examined the prospective associations of neutrophil, lymphocyte, and monocyte counts (each individually), as well as the prospective associations of ABSI and BMI, with cutaneous malignant melanoma in UK Biobank. We used multivariable Cox proportional hazards models and explored heterogeneity according to sex, menopausal status, age (≥ 50 years at recruitment), smoking status, ABSI (dichotomised at the median: ≥73.5 women; ≥79.8 men), BMI (normal weight, overweight, obese), and time to diagnosis., Results: During a mean follow-up of 10.2 years, 2174 CMM cases were ascertained in 398,450 participants. There was little evidence for associations with neutrophil or lymphocyte counts. Monocyte count, however, was associated inversely in participants overall (HR = 0.928; 95%CI: 0.888-0.971; per one standard deviation increase; SD = 0.144*10
9 /L women; SD = 0.169*109 /L men), specifically in older participants (HR = 0.906; 95%CI: 0.862-0.951), and more clearly in participants with low ABSI (HR = 0.880; 95%CI: 0.824-0.939), or with BMI ≥ 25 kg/m2 (HR = 0.895; 95%CI: 0.837-0.958 for overweight; HR = 0.923; 95%CI: 0.848-1.005 for obese). ABSI was associated inversely in pre-menopausal women (HR = 0.810; 95%CI: 0.702-0.935; SD = 4.95) and men (HR = 0.925; 95%CI: 0.867-0.986; SD = 4.11). BMI was associated positively in men (HR = 1.148; 95%CI: 1.078-1.222; SD = 4.04 kg/m2 ). There was little evidence for heterogeneity according to smoking status. The associations with monocyte count and BMI were retained to at least 8 years prior to diagnosis, but the association with ABSI was observed up to 4 years prior to diagnosis and not for longer follow-up time., Conclusions: Monocyte count is associated prospectively inversely with the risk of developing CMM in older individuals, while BMI is associated positively in men, suggesting a mechanistic involvement of factors related to monocytes and subcutaneous adipose tissue in melanoma development. An inverse association with ABSI closer to diagnosis may reflect reverse causality or glucocorticoid resistance., (© 2024. The Author(s).)- Published
- 2024
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38. Allometric versus traditional body-shape indices and risk of colorectal cancer: a Mendelian randomization analysis.
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Rontogianni MO, Bouras E, Aglago EK, Freisling H, Murphy N, Cotterchio M, Hampe J, Lindblom A, Pai RK, Pharoah PDP, Phipps AI, van Duijnhoven FJB, Visvanathan K, van Guelpen B, Li CI, Brenner H, Pellatt AJ, Ogino S, Gunter MJ, Peters U, Christakoudi S, and Tsilidis KK
- Subjects
- Humans, Male, Female, Risk Factors, Waist Circumference, Mendelian Randomization Analysis methods, Colorectal Neoplasms epidemiology, Colorectal Neoplasms genetics, Waist-Hip Ratio, Body Mass Index
- Abstract
Background: Traditional body-shape indices such as Waist Circumference (WC), Hip Circumference (HC), and Waist-to-Hip Ratio (WHR) are associated with colorectal cancer (CRC) risk, but are correlated with Body Mass Index (BMI), and adjustment for BMI introduces a strong correlation with height. Thus, new allometric indices have been developed, namely A Body Shape Index (ABSI), Hip Index (HI), and Waist-to-Hip Index (WHI), which are uncorrelated with weight and height; these have also been associated with CRC risk in observational studies, but information from Mendelian randomization (MR) studies is missing., Methods: We used two-sample MR to examine potential causal cancer site- and sex-specific associations of the genetically-predicted allometric body-shape indices with CRC risk, and compared them with BMI-adjusted traditional body-shape indices, and BMI. Data were obtained from UK Biobank and the GIANT consortium, and from GECCO, CORECT and CCFR consortia., Results: WHI was positively associated with CRC in men (OR per SD: 1.20, 95% CI: 1.03-1.39) and in women (1.15, 1.06-1.24), and similarly for colon and rectal cancer. ABSI was positively associated with colon and rectal cancer in men (1.27, 1.03-1.57; and 1.40, 1.10-1.77, respectively), and with colon cancer in women (1.20, 1.07-1.35). There was little evidence for association between HI and colon or rectal cancer. The BMI-adjusted WHR and HC showed similar associations to WHI and HI, whereas WC showed similar associations to ABSI only in women., Conclusions: This large MR study provides strong evidence for a potential causal positive association of the allometric indices ABSI and WHI with CRC in both sexes, thus establishing the association between abdominal fat and CRC without the limitations of the traditional waist size indices and independently of BMI. Among the BMI-adjusted traditional indices, WHR and HC provided equivalent associations with WHI and HI, while differences were observed between WC and ABSI., (© 2024. The Author(s).)
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- 2024
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39. Pre-diagnostic circulating resistin concentrations and mortality among individuals with colorectal cancer: Results from the European Prospective Investigation into Cancer and Nutrition study.
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Pham TT, Nimptsch K, Aleksandrova K, Jenab M, Fedirko V, Wu K, Eriksen AK, Tjønneland A, Severi G, Rothwell J, Kaaks R, Katzke V, Catalano A, Agnoli C, Masala G, De Magistris MS, Tumino R, Vermeulen R, Aizpurua A, Trobajo-Sanmartín C, Chirlaque MD, Sánchez MJ, Lu SSM, Cross AJ, Christakoudi S, Weiderpass E, and Pischon T
- Subjects
- Humans, Prospective Studies, Proportional Hazards Models, Body Mass Index, Risk Factors, Resistin, Colorectal Neoplasms
- Abstract
Resistin is a protein involved in inflammation and angiogenesis processes and may play a role in the progression of colorectal cancer (CRC). However, it remains unclear whether resistin is associated with increased mortality after CRC diagnosis. We examined pre-diagnostic serum resistin concentrations in relation to CRC-specific and all-cause mortality among 1343 incident CRC cases from the European Prospective Investigation into Cancer and Nutrition cohort. For CRC-specific mortality as the primary outcome, hazard ratios (HRs) and 95% confidence intervals (95% CI) were estimated from competing risk analyses based on cause-specific Cox proportional hazards models and further in sensitivity analyses using Fine-Gray proportional subdistribution hazards models. For all-cause mortality as the secondary outcome, Cox proportional hazards models were used. Subgroup analyses were performed by sex, tumor subsite, tumor stage, body mass index and time to CRC diagnosis. Resistin was measured on a median of 4.8 years before CRC diagnosis. During a median follow-up of 8.2 years, 474 deaths from CRC and 147 deaths from other causes were observed. Resistin concentrations were not associated with CRC-specific mortality (HR
Q4vsQ1 = 0.95, 95% CI: 0.73-1.23; Ptrend = .97; and HRper doubling of resistin concentration = 1.00; 95% CI: 0.84-1.19; P = .98) or all-cause mortality. Results from competing risk (sensitivity) analysis were similar. No associations were found in any subgroup analyses. These findings suggest no association between pre-diagnostic circulating resistin concentrations and CRC-specific or all-cause mortality among persons with CRC, and the potential insignificance of resistin in CRC progression., (© 2024 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.)- Published
- 2024
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40. Tissue-specific genetic variation suggests distinct molecular pathways between body shape phenotypes and colorectal cancer.
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Peruchet-Noray L, Sedlmeier AM, Dimou N, Baurecht H, Fervers B, Fontvieille E, Konzok J, Tsilidis KK, Christakoudi S, Jansana A, Cordova R, Bohmann P, Stein MJ, Weber A, Bézieau S, Brenner H, Chan AT, Cheng I, Figueiredo JC, Garcia-Etxebarria K, Moreno V, Newton CC, Schmit SL, Song M, Ulrich CM, Ferrari P, Viallon V, Carreras-Torres R, Gunter MJ, and Freisling H
- Subjects
- Humans, Genome-Wide Association Study, Obesity genetics, Phenotype, Genetic Variation, Risk Factors, Somatotypes, Colorectal Neoplasms genetics
- Abstract
It remains unknown whether adiposity subtypes are differentially associated with colorectal cancer (CRC). To move beyond single-trait anthropometric indicators, we derived four multi-trait body shape phenotypes reflecting adiposity subtypes from principal components analysis on body mass index, height, weight, waist-to-hip ratio, and waist and hip circumference. A generally obese (PC1) and a tall, centrally obese (PC3) body shape were both positively associated with CRC risk in observational analyses in 329,828 UK Biobank participants (3728 cases). In genome-wide association studies in 460,198 UK Biobank participants, we identified 3414 genetic variants across four body shapes and Mendelian randomization analyses confirmed positive associations of PC1 and PC3 with CRC risk (52,775 cases/45,940 controls from GECCO/CORECT/CCFR). Brain tissue-specific genetic instruments, mapped to PC1 through enrichment analysis, were responsible for the relationship between PC1 and CRC, while the relationship between PC3 and CRC was predominantly driven by adipose tissue-specific genetic instruments. This study suggests distinct putative causal pathways between adiposity subtypes and CRC.
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- 2024
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41. Links between the genetic determinants of morning plasma cortisol and body shape: a two-sample Mendelian randomisation study.
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Christakoudi S, Asimakopoulos AG, Riboli E, and Tsilidis KK
- Subjects
- Male, Humans, Female, Obesity genetics, Body Mass Index, Anthropometry, Mendelian Randomization Analysis, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Hydrocortisone, Somatotypes
- Abstract
High cortisol production in Cushing's syndrome leads to fat centralisation. The influence of modest cortisol variations on body shape, however, is less clear. We examined potentially causal associations between morning plasma cortisol and body shape and obesity with inverse-variance weighted random-effects models in a two-sample Mendelian randomisation analysis. We used publicly available summary statistics from the CORtisol NETwork (CORNET) consortium, UK Biobank, and the Genetic Investigation of Anthropometric Traits (GIANT) consortium. Only in women, morning plasma cortisol (proxied by ten genetic polymorphisms) was associated positively with waist size reflected in waist-to-hip index (WHI, 0.035 standard deviation (SD) units change per one SD cortisol increase; 95% confidence interval (0.002-0.067); p = 0.036) and "a body shape index" (ABSI; 0.039 (0.006-0.071); p = 0.021). There was no evidence for associations with hip index (HI) or body mass index (BMI). Among individual polymorphisms, rs7450600 stood out (chromosome 6; Long Intergenic Non-Protein-Coding RNA 473 gene, LINC00473). Morning plasma cortisol proxied by rs7450600 was associated positively with WHI and inversely with HI and BMI in women and men. Our findings support a causal association of higher morning plasma cortisol with larger waist size in women and highlight LINC00473 as a genetic link between morning plasma cortisol and body shape., (© 2024. The Author(s).)
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- 2024
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42. Interactions of obesity, body shape, diabetes and sex steroids with respect to prostate cancer risk in the UK Biobank cohort.
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Christakoudi S, Tsilidis KK, Evangelou E, and Riboli E
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- Male, Humans, Biological Specimen Banks, Somatotypes, UK Biobank, Testosterone, Estradiol, Obesity complications, Obesity epidemiology, Diabetes Mellitus epidemiology, Prostatic Neoplasms epidemiology
- Abstract
Background: Obesity and diabetes are associated inversely with low-grade prostate cancer risk and affect steroid hormone synthesis but whether they modify each other's impact on prostate cancer risk remains unknown., Methods: We examined the independent associations of diabetes, body mass index (BMI), 'a body shape index' (ABSI), hip index (HI), circulating testosterone, sex hormone binding globulin (SHBG) (per one standard deviation increase) and oestradiol ≥175 pmol/L with total prostate cancer risk using multivariable Cox proportional hazards models for UK Biobank men. We evaluated multiplicative interactions (p
MI ) and additive interactions (relative excess risk from interaction (pRERI ), attributable proportion (pAR ), synergy index (pSI )) with obese (BMI ≥30 kg/m2 ) and diabetes., Results: During a mean follow-up of 10.3 years, 9417 incident prostate cancers were diagnosed in 195,813 men. Diabetes and BMI were associated more strongly inversely with prostate cancer risk when occurring together (pMI = 0.0003, pRERI = 0.032, pAP = 0.020, pSI = 0.002). ABSI was associated positively in obese men (HR = 1.081; 95% CI = 1.030-1.135) and men with diabetes (HR = 1.114; 95% CI = 1.021-1.216). The inverse associations with obesity and diabetes were attenuated for high-ABSI ≥79.8 (pMI = 0.022, pRERI = 0.008, pAP = 0.005, pSI <0.0001 obesity; pMI = 0.017, pRERI = 0.047, pAP = 0.025, pSI = 0.0005 diabetes). HI was associated inversely in men overall (HR = 0.967; 95% CI = 0.947-0.988). Free testosterone (FT) was associated most strongly positively in normal weight men (HR = 1.098; 95% CI = 1.045-1.153) and men with diabetes (HR = 1.189; 95% CI = 1.081-1.308). Oestradiol was associated inversely in obese men (HR = 0.805; 95% CI = 0.682-0.951). The inverse association with obesity was stronger for high-FT ≥243 pmol/L (pRERI = 0.040, pAP = 0.031, pSI = 0.002) and high-oestradiol (pRERI = 0.030, pAP = 0.012, pSI <0.0001). The inverse association with diabetes was attenuated for high-FT (pMI = 0.008, pRERI = 0.015, pAP = 0.009, pSI = 0.0006). SHBG was associated inversely in men overall (HR = 0.918; 95% CI = 0.895-0.941), more strongly for high-HI ≥49.1 (pMI = 0.024)., Conclusions: Obesity and diabetes showed synergistic inverse associations with prostate cancer risk, likely involving testosterone reduction for diabetes and oestrogen generation for obesity, which were attenuated for high-ABSI. HI and SHBG showed synergistic inverse associations with prostate cancer risk., (© 2024 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)- Published
- 2024
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43. Tacrolimus After rATG and Infliximab Induction Immunosuppression-RIMINI Trial.
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Viklicky O, Zahradka I, Bold G, Bestard O, Hruba P, Otto NM, Stein M, Sefrin A, Modos I, Meneghini M, Crespo E, Grinyo J, Volk HD, Christakoudi S, and Reinke P
- Subjects
- Humans, Antibodies, Enzyme Inhibitors, Graft Rejection prevention & control, Graft Survival, Immunosuppression Therapy, Immunosuppressive Agents adverse effects, Infliximab adverse effects, Treatment Outcome, Antilymphocyte Serum, Tacrolimus adverse effects
- Abstract
Background: Infliximab selectively targets recently activated effector cells and, as an induction agent, might enable the safe elimination of mycophenolate from maintenance immunosuppression in kidney transplantation., Methods: This is a phase II international multicenter open-label single-arm confidence interval (CI)-based clinical trial of the BIO-DrIM EU consortium aimed at assessing the efficacy and safety of rabbit antithymocyte globulin and infliximab induction in kidney transplantation. Sixty-seven primary kidney transplant recipients at low risk (panel-reactive antibodies <20%, no donor-specific antibodies [DSA]) received rabbit antithymocyte globulin (2 × 1.5 mg/kg, postoperative days 0 and 1) and infliximab (5 mg/kg, postoperative day 2), followed by mycophenolate-free tacrolimus-based immunosuppression for 12 mo. The primary endpoint was efficacy failure, defined as a composite of acute rejection, graft loss, or poor graft function (estimated glomerular filtration rate <40 mL/min) at 12 mo and was based on the endpoint of the comparator study. Additionally, a historical propensity-matched control cohort was established., Results: Primary endpoint occurred in 22 of 67 patients (32.84%), with upper bound of an exact 1-sided 95% CI of 43.47%, which met the predefined criteria (efficacy failure of <40% and upper-bound 95% CI of <50%) and was similar in the historical matched cohort. By 12 mo, 79.1% of patients remained on the study protocol. Lower rates of BK replication (6% versus 22.4%; P = 0.013) but higher rates of de novo DSAs (11.9% versus 1.5%; P = 0.039) were observed in the study cohort., Conclusions: A similar efficacy of the study immunosuppression regimen to the comparator study and the historical matched cohort was found. However, a higher de novo DSA emergence points to an increased risk of antibody-mediated rejection (NCT04114188)., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2023 Wolters Kluwer Health, Inc. All rights reserved.)
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- 2024
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44. Body mass index and cancer risk among adults with and without cardiometabolic diseases: evidence from the EPIC and UK Biobank prospective cohort studies.
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Fontvieille E, Viallon V, Recalde M, Cordova R, Jansana A, Peruchet-Noray L, Lennon H, Heath AK, Aune D, Christakoudi S, Katzke V, Kaaks R, Inan-Eroglu E, Schulze MB, Mellemkjær L, Tjønneland A, Overvad K, Farràs M, Petrova D, Amiano P, Chirlaque MD, Moreno-Iribas C, Tin Tin S, Masala G, Sieri S, Ricceri F, Panico S, May AM, Monninkhof EM, Weiderpass E, Gunter MJ, Ferrari P, and Freisling H
- Subjects
- Humans, Adult, Body Mass Index, Risk Factors, Prospective Studies, Biological Specimen Banks, Obesity complications, Obesity epidemiology, United Kingdom epidemiology, Diabetes Mellitus, Type 2 complications, Diabetes Mellitus, Type 2 epidemiology, Neoplasms epidemiology, Neoplasms complications, Cardiovascular Diseases etiology
- Abstract
Background: Whether cancer risk associated with a higher body mass index (BMI), a surrogate measure of adiposity, differs among adults with and without cardiovascular diseases (CVD) and/or type 2 diabetes (T2D) is unclear. The primary aim of this study was to evaluate separate and joint associations of BMI and CVD/T2D with the risk of cancer., Methods: This is an individual participant data meta-analysis of two prospective cohort studies, the UK Biobank (UKB) and the European Prospective Investigation into Cancer and nutrition (EPIC), with a total of 577,343 adults, free of cancer, T2D, and CVD at recruitment. We used Cox proportional hazard regressions to estimate multivariable-adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) for associations between BMI and incidence of obesity-related cancer and in turn overall cancer with a multiplicative interaction between BMI and the two cardiometabolic diseases (CMD). HRs and 95% CIs for separate and joint associations for categories of overweight/obesity and CMD status were estimated, and additive interaction was quantified through relative excess risk due to interaction (RERI)., Results: In the meta-analysis of both cohorts, BMI (per ~ 5 kg/m
2 ) was positively associated with the risk of obesity-related cancer among participants without a CMD (HR: 1.11, 95%CI: 1.07,1.16), among participants with T2D (HR: 1.11, 95% CI: 1.05,1.18), among participants with CVD (HR: 1.17, 95% CI: 1.11,1.24), and suggestively positive among those with both T2D and CVD (HR: 1.09, 95% CI: 0.94,1.25). An additive interaction between obesity (BMI ≥ 30 kg/m2 ) and CVD with the risk of overall cancer translated into a meta-analytical RERI of 0.28 (95% CI: 0.09-0.47)., Conclusions: Irrespective of CMD status, higher BMI increased the risk of obesity-related cancer among European adults. The additive interaction between obesity and CVD suggests that obesity prevention would translate into a greater cancer risk reduction among population groups with CVD than among the general population., (© 2023. The Author(s).)- Published
- 2023
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45. Interactions of platelets with obesity in relation to lung cancer risk in the UK Biobank cohort.
- Author
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Christakoudi S, Tsilidis KK, Evangelou E, and Riboli E
- Subjects
- Male, Humans, Female, Obesity diagnosis, Obesity epidemiology, Anticoagulants, United Kingdom epidemiology, Biological Specimen Banks, Lung Neoplasms diagnosis, Lung Neoplasms epidemiology
- Abstract
Background: Platelet count (PLT) is associated positively with lung cancer risk but has a more complex association with body mass index (BMI), positive only in women (mainly never smokers) and inverse in men (mainly ever smokers), raising the question whether platelets interact with obesity in relation to lung cancer risk. Prospective associations of platelet size (an index of platelet maturity and activity) with lung cancer risk are unclear., Methods: We examined the associations of PLT, mean platelet volume (MPV), and platelet distribution width (PDW) (each individually, per one standard deviation increase) with lung cancer risk in UK Biobank men and women using multivariable Cox proportional hazards models adjusted for BMI and covariates. We calculated Relative Excess Risk from Interaction (RERI) with obese (BMI ≥ 30 kg/m
2 ), dichotomising platelet parameters at ≥ median (sex-specific), and multiplicative interactions with BMI (continuous scale). We examined heterogeneity according to smoking status (never, former, current smoker) and antiaggregant/anticoagulant use (no/yes)., Results: During a mean follow-up of 10.4 years, 1620 lung cancers were ascertained in 192,355 men and 1495 lung cancers in 218,761 women. PLT was associated positively with lung cancer risk in men (hazard ratio HR = 1.14; 95% confidence interval (CI): 1.09-1.20) and women (HR = 1.09; 95%CI: 1.03-1.15) but interacted inversely with BMI only in men (RERI = - 0.53; 95%CI: - 0.80 to - 0.26 for high-PLT-obese; HR = 0.92; 95%CI = 0.88-0.96 for PLT*BMI). Only in men, MPV was associated inversely with lung cancer risk (HR = 0.95; 95%CI: 0.90-0.99) and interacted positively with BMI (RERI = 0.27; 95%CI = 0.09-0.45 for high-MPV-obese; HR = 1.08; 95%CI = 1.04-1.13 for MPV*BMI), while PDW was associated positively (HR = 1.05; 95%CI: 1.00-1.10), with no evidence for interactions. The associations with PLT were consistent by smoking status, but MPV was associated inversely only in current smokers and PDW positively only in never/former smokers. The interactions with BMI were retained for at least eight years of follow-up and were consistent by smoking status but were attenuated in antiaggregant/anticoagulant users., Conclusions: In men, PLT was associated positively and MPV inversely with lung cancer risk and these associations appeared hindered by obesity. In women, only PLT was associated positively, with little evidence for interaction with obesity., (© 2023. BioMed Central Ltd., part of Springer Nature.)- Published
- 2023
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46. Prospective and Mendelian randomization analyses on the association of circulating fatty acid binding protein 4 (FABP-4) and risk of colorectal cancer.
- Author
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Nimptsch K, Aleksandrova K, Pham TT, Papadimitriou N, Janke J, Christakoudi S, Heath A, Olsen A, Tjønneland A, Schulze MB, Katzke V, Kaaks R, van Guelpen B, Harbs J, Palli D, Macciotta A, Pasanisi F, Yohar SMC, Guevara M, Amiano P, Grioni S, Jakszyn PG, Figueiredo JC, Samadder NJ, Li CI, Moreno V, Potter JD, Schoen RE, Um CY, Weiderpass E, Jenab M, Gunter MJ, and Pischon T
- Subjects
- Female, Humans, Male, Case-Control Studies, Genome-Wide Association Study, Mendelian Randomization Analysis, Polymorphism, Single Nucleotide genetics, Prospective Studies, Risk Factors, Colorectal Neoplasms epidemiology, Colorectal Neoplasms genetics
- Abstract
Background: Fatty acid binding protein 4 (FABP-4) is a lipid-binding adipokine upregulated in obesity, which may facilitate fatty acid supply for tumor growth and promote insulin resistance and inflammation and may thus play a role in colorectal cancer (CRC) development. We aimed to investigate the association between circulating FABP-4 and CRC and to assess potential causality using a Mendelian randomization (MR) approach., Methods: The association between pre-diagnostic plasma measurements of FABP-4 and CRC risk was investigated in a nested case-control study in 1324 CRC cases and the same number of matched controls within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. A two-sample Mendelian randomization study was conducted based on three genetic variants (1 cis, 2 trans) associated with circulating FABP-4 identified in a published genome-wide association study (discovery n = 20,436) and data from 58,131 CRC cases and 67,347 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium, Colorectal Cancer Transdisciplinary Study, and Colon Cancer Family Registry., Results: In conditional logistic regression models adjusted for potential confounders including body size, the estimated relative risk, RR (95% confidence interval, CI) per one standard deviation, SD (8.9 ng/mL) higher FABP-4 concentration was 1.01 (0.92, 1.12) overall, 0.95 (0.80, 1.13) in men and 1.09 (0.95, 1.25) in women. Genetically determined higher FABP-4 was not associated with colorectal cancer risk (RR per FABP-4 SD was 1.10 (0.95, 1.27) overall, 1.03 (0.84, 1.26) in men and 1.21 (0.98, 1.48) in women). However, in a cis-MR approach, a statistically significant association was observed in women (RR 1.56, 1.09, 2.23) but not overall (RR 1.23, 0.97, 1.57) or in men (0.99, 0.71, 1.37)., Conclusions: Taken together, these analyses provide no support for a causal role of circulating FABP-4 in the development of CRC, although the cis-MR provides some evidence for a positive association in women, which may deserve to be investigated further., (© 2023. BioMed Central Ltd., part of Springer Nature.)
- Published
- 2023
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47. Associations of obesity and body shape with erythrocyte and reticulocyte parameters in the UK Biobank cohort.
- Author
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Christakoudi S, Tsilidis KK, Evangelou E, and Riboli E
- Subjects
- Female, Male, Humans, Somatotypes, Biological Specimen Banks, Obesity epidemiology, Erythrocytes, Body Mass Index, Hemoglobins, Inflammation, United Kingdom epidemiology, Waist Circumference, Reticulocytes, Diabetes Mellitus, Type 2 epidemiology
- Abstract
Background: Obesity is associated with type 2 diabetes mellitus and chronic low-grade inflammation. Although chronic inflammatory conditions and diabetes are associated with anaemia, less is known about associations of obesity and body shape, independent of each other, with erythrocyte and reticulocyte parameters., Methods: We investigated the associations of body mass index (BMI) and the allometric body shape index (ABSI) and hip index (HI), which are uncorrelated with BMI, with erythrocyte and reticulocyte parameters (all continuous, on a standard deviation (SD) scale) in UK Biobank participants without known metabolic, endocrine, or major inflammatory conditions (glycated haemoglobin HbA1c < 48 mmol/mol, C-reactive protein CRP < 10 mg/L). We examined erythrocyte count, total reticulocyte count and percent, immature reticulocyte count and fraction (IRF), haemoglobin, haematocrit, mean corpuscular haemoglobin mass (MCH) and concentration (MCHC), mean corpuscular and reticulocyte volumes (MCV, MRV), and red cell distribution width (RDW) in multivariable linear regression models. We additionally defined body shape phenotypes with dichotomised ABSI (≥ 73 women; ≥ 80 men) and HI (≥ 64 women; ≥ 49 men), including "pear" (small-ABSI-large-HI) and "apple" (large-ABSI-small-HI), and examined these in groups according to BMI (18.5-25 normal weight; 25-30 overweight; 30-45 kg/m
2 obese)., Results: In 105,853 women and 100,854 men, BMI and ABSI were associated positively with haemoglobin, haematocrit, and erythrocyte count, and more strongly with total reticulocyte count and percent, immature reticulocyte count and IRF. HI was associated inversely with all, but least with IRF. Associations were comparable in women and men. In groups according to obesity and body shape, erythrocyte count was ~ 0.6 SD higher for obese-"apple" compared to normal-weight-"pear" phenotype (SD = 0.31*1012 /L women, SD = 0.34*1012 /L men), total reticulocyte count was ~ 1.1 SD higher (SD = 21.1*109 /L women, SD = 23.6*109 /L men), immature reticulocyte count was ~ 1.2 SD higher (SD = 7.9*109 /L women, SD = 8.8*109 /L men), total reticulocyte percent was ~ 1.0 SD higher (SD = 0.48% women and men), and IFR was over 0.7 SD higher (SD = 5.7% women and men). BMI but not ABSI or HI was associated more weakly inversely with MCV, MRV, and MCH, but positively with MCHC in men and RDW in women., Conclusions: In obesity uncomplicated with diabetes, larger BMI and ABSI are associated with increased erythropoiesis and reticulocyte immaturity., (© 2023. The Author(s).)- Published
- 2023
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48. Impact of liver failure on the circulating extracellular vesicle miRNA repertoire.
- Author
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Mastoridis S, Patel V, Christakoudi S, Lozano JJ, Salehi S, Kurt A, Grossart C, Kodela E, Martinez-Llordella M, and Sanchez-Fueyo A
- Abstract
Background & Aims: Cell-derived small extracellular vesicles (sEVs) participate in cell-cell communication via the transfer of molecular cargo including selectively enriched microRNAs (miRNAs). Utilizing advances in sEV isolation and characterization, this study investigates the impact of liver injury and dysfunction on the circulating EV-miRNA profile., Methods: High-throughput screening of 799 sEV-miRNAs isolated from plasma was performed in patients across a spectrum of liver disorders including compensated and decompensated chronic liver disease, acute-on-chronic liver failure (ACLF), and acute liver failure, in addition to healthy controls and those with severe sepsis. miRNA levels were compared with clinical and biochemical parameters, composite scores of liver disease, and patient outcomes., Results: miRNA screening revealed the degree of hepatic dysfunction to be the main determinant of changes in circulating sEV-miRNA profile, with liver-specific miRNA-122 being among the most highly dysregulated in severe injury. Principal components analyses of the 215 differentially expressed miRNAs showed differing profiles, particularly among those with acute liver injury and ACLF. A distinct profile of dysregulated miRNA, but not circulating cytokines, was shown to characterize ACLF, with four consensus miRNAs identified-miR-320e, miR-374-5p, miR-202-3p, and miR-1910-5p. High miR-320e was associated with poorer 90-day survival (p = 0.014) and regulated the functional gene targets IK, RPS5, MANBAL, and PEBP1., Conclusions: This first comprehensive analysis to the best of our knowledge of patients with varying degrees and stages of liver failure demonstrates miRNA profiles specifically within the sEV compartment to be significantly altered in progressive liver disease and highlights the diagnostic and prognostic potential of sEV-miRNA in ACLF while also establishing downstream gene targets., (© 2023 The Authors. Hepatology Research published by John Wiley & Sons Australia, Ltd on behalf of Japan Society of Hepatology.)
- Published
- 2023
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49. The association between body fatness and mortality among breast cancer survivors: results from a prospective cohort study.
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Bonet C, Crous-Bou M, Tsilidis KK, Gunter MJ, Kaaks R, Schulze MB, Fortner RT, Antoniussen CS, Dahm CC, Mellemkjær L, Tjønneland A, Amiano P, Ardanaz E, Colorado-Yohar SM, Rodriguez-Barranco M, Tin Tin S, Agnoli C, Masala G, Panico S, Sacerdote C, May AM, Borch KB, Rylander C, Skeie G, Christakoudi S, Aune D, Weiderpass E, Dossus L, Riboli E, and Agudo A
- Subjects
- Female, Humans, Body Mass Index, Obesity complications, Obesity, Abdominal complications, Obesity, Abdominal diagnosis, Prospective Studies, Risk Factors, Survivors, Cohort Studies, Breast Neoplasms etiology, Cancer Survivors
- Abstract
Evidence linking body fatness to breast cancer (BC) prognosis is limited. While it seems that excess adiposity is associated with poorer BC survival, there is uncertainty over whether weight changes reduce mortality. This study aimed to assess the association between body fatness and weight changes pre- and postdiagnosis and overall mortality and BC-specific mortality among BC survivors. Our study included 13,624 BC survivors from the European Prospective Investigation into Cancer and Nutrition (EPIC) study, with a mean follow-up of 8.6 years after diagnosis. Anthropometric data were obtained at recruitment for all cases and at a second assessment during follow-up for a subsample. We measured general obesity using the body mass index (BMI), whereas waist circumference and A Body Shape Index were used as measures of abdominal obesity. The annual weight change was calculated for cases with two weight assessments. The association with overall mortality and BC-specific mortality were based on a multivariable Cox and Fine and Gray models, respectively. We performed Mendelian randomization (MR) analysis to investigate the potential causal association. Five-unit higher BMI prediagnosis was associated with a 10% (95% confidence interval: 5-15%) increase in overall mortality and 7% (0-15%) increase in dying from BC. Women with abdominal obesity demonstrated a 23% (11-37%) increase in overall mortality, independent of the association of BMI. Results related to weight change postdiagnosis suggested a U-shaped relationship with BC-specific mortality, with higher risk associated with losing weight or gaining > 2% of the weight annually. MR analyses were consistent with the identified associations. Our results support the detrimental association of excess body fatness on the survival of women with BC. Substantial weight changes postdiagnosis may be associated with poorer survival., (© 2023. The Author(s).)
- Published
- 2023
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50. Dietary patterns related to biological mechanisms and survival after breast cancer diagnosis: results from a cohort study.
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Castro-Espin C, Bonet C, Crous-Bou M, Katzke V, Le Cornet C, Jannasch F, Schulze MB, Olsen A, Tjønneland A, Dahm CC, Antoniussen CS, Sánchez MJ, Amiano P, Chirlaque MD, Guevara M, Agnoli C, Tumino R, Sacerdote C, De Magistris MS, Sund M, Bodén S, Jensen TE, Olsen KS, Skeie G, Gunter MJ, Rinaldi S, Gonzalez-Gil EM, Weiderpass E, Christakoudi S, Heath AK, Dossus L, and Agudo A
- Subjects
- Diet, Retinal Detachment, Estrogens, Cohort Studies, Risk Factors, Prospective Studies, Humans, Eye Diseases, Hereditary, Female, Breast Neoplasms diagnosis, Breast Neoplasms metabolism
- Abstract
Background: Inflammatory, insulin and oestrogenic pathways have been linked to breast cancer (BC). We aimed to examine the relationship between pre-diagnostic dietary patterns related to these mechanisms and BC survival., Methods: The diabetes risk reduction diet (DRRD), inflammatory score of diet (ISD) and oestrogen-related dietary pattern (ERDP) were calculated using dietary data from the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Cox proportional hazards models were used to assess associations between dietary patterns and overall mortality and competing risk models for associations with BC-specific mortality., Results: We included 13,270 BC cases with a mean follow-up after diagnosis of 8.6 years, representing 2340 total deaths, including 1475 BC deaths. Higher adherence to the DRRD score was associated with lower overall mortality (HR
1-SD 0.92; 95%CI 0.87-0.96). Greater adherence to pro-inflammatory diets was borderline associated with 6% higher mortality HR1-SD 1.06; 95%CI 1.00-1.12. No significant association with the oestrogen-related dietary pattern was observed. None of the dietary patterns were associated with BC-specific mortality., Conclusions: Greater adherence to an anti-diabetic and anti-inflammatory diet prior to diagnosis is associated with lower overall mortality among BC survivors. Long-term adherence to these dietary patterns could be a means to improve the prognosis of BC survivors., (© 2023. The Author(s).)- Published
- 2023
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