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1. Partial contributions and temporal trends of leading causes of death during the last four decades in Spain

Author: Cirera, L., Ballesta, M., Márquez-Calderón, S., Chirlaque, M.-D., Saez, M., and Salmerón, D.
Published: 2020
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2. Dietary intake of acrylamide and endometrial cancer risk in the European Prospective Investigation into Cancer and Nutrition cohort

Author: Obón-Santacana, M, Kaaks, R, Slimani, N, Lujan-Barroso, L, Freisling, H, Ferrari, P, Dossus, L, Chabbert-Buffet, N, Baglietto, L, Fortner, RT, Boeing, H, Tjønneland, A, Olsen, A, Overvad, K, Menéndez, V, Molina-Montes, E, Larrañaga, N, Chirlaque, M-D, Ardanaz, E, Khaw, K-T, Wareham, N, Travis, RC, Lu, Y, Merritt, MA, Trichopoulou, A, Benetou, V, Trichopoulos, D, Saieva, C, Sieri, S, Tumino, R, Sacerdote, C, Galasso, R, Bueno-de-Mesquita, HB, Wirfält, E, Ericson, U, Idahl, A, Ohlson, N, Skeie, G, Gram, IT, Weiderpass, E, Onland-Moret, NC, Riboli, E, and Duell, EJ
Subjects: Biomedical and Clinical Sciences, Nutrition and Dietetics, Nutrition, Clinical Research, Prevention, Cancer, Aetiology, 2.2 Factors relating to the physical environment, Cardiovascular, Acrylamide, Cohort Studies, Diet, Eating, Endometrial Neoplasms, Female, Humans, Middle Aged, Nutritional Status, Prospective Studies, Risk, Risk Factors, Smoking, acrylamide, endometrial cancer, type-I endometrial cancer, cohort, nutrition, Oncology and Carcinogenesis, Public Health and Health Services, Oncology & Carcinogenesis, Oncology and carcinogenesis
Abstract: BackgroundThree prospective studies have evaluated the association between dietary acrylamide intake and endometrial cancer (EC) risk with inconsistent results. The objective of this study was to evaluate the association between acrylamide intake and EC risk: for overall EC, for type-I EC, and in never smokers and never users of oral contraceptives (OCs). Smoking is a source of acrylamide, and OC use is a protective factor for EC risk.MethodsCox regression was used to estimate hazard ratios (HRs) for the association between acrylamide intake and EC risk in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Acrylamide intake was estimated from the EU acrylamide monitoring database, which was matched with EPIC questionnaire-based food consumption data. Acrylamide intake was energy adjusted using the residual method.ResultsNo associations were observed between acrylamide intake and overall EC (n=1382) or type-I EC risk (n=627). We observed increasing relative risks for type-I EC with increasing acrylamide intake among women who both never smoked and were non-users of OCs (HRQ5vsQ1: 1.97, 95% CI: 1.08-3.62; likelihood ratio test (LRT) P-value: 0.01, n=203).ConclusionsDietary intake of acrylamide was not associated with overall or type-I EC risk; however, positive associations with type I were observed in women who were both non-users of OCs and never smokers.
Published: 2014

3. Is there a Different Dietetic Pattern Depending on Self-Knowledge of High Blood Presure?

Author: Tormo, M. J., Navarro, C., Chirlaque, M. D., and Barber, X.
Published: 2000

4. A body shape index (ABSI) is associated inversely with post-menopausal progesterone-receptor-negative breast cancer risk in a large European cohort

Author: 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
Subjects: 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.
Published: 2023

5. Childhood and adolescent lymphoma in Spain: incidence and survival trends over 20 years

Author: Marcos-Gragera, R., Solans, M., Galceran, J., Fernández-Delgado, R., Fernández-Teijeiro, A., Mateos, A., Quirós-Garcia, J. R., Fuster-Camarena, N., De Castro, V., Sánchez, M. J., Franch, P., Chirlaque, M. D., Ardanaz, E., Martos, C., Salmerón, D., Peris-Bonet, R., and The Spanish Childhood Cancer Epidemiology Working Group
Published: 2018
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6. Evaluation of European-based polygenic risk score for breast cancer in Ashkenazi Jewish women in Israel

Author: Levi, H, Carmi, S, Rosset, S, Yerushalmi, R, Zick, A, Yablonski-Peretz, T, Wang, Q, Bolla, MK, Dennis, J, Michailidou, K, Lush, M, Ahearn, T, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Arndt, V, Augustinsson, A, Auvinen, P, Freeman, LB, Beckmann, M, Behrens, S, Bermisheva, M, Bodelon, C, Bogdanova, NV, Bojesen, SE, Brenner, H, Byers, H, Camp, N, Castelao, J, Chang-Claude, J, Chirlaque, M-D, Chung, W, Clarke, C, Collee, MJ, Colonna, S, Couch, F, Cox, A, Cross, SS, Czene, K, Daly, M, Devilee, P, Dork, T, Dossus, L, Eccles, DM, Eliassen, AH, Eriksson, M, Evans, G, Fasching, P, Fletcher, O, Flyger, H, Fritschi, L, Gabrielson, M, Gago-Dominguez, M, Garcia-Closas, M, Garcia-Saenz, JA, Genkinger, J, Giles, GG, Goldberg, M, Guenel, P, Hall, P, Hamann, U, He, W, Hillemanns, P, Hollestelle, A, Hoppe, R, Hopper, J, Jakovchevska, S, Jakubowska, A, Jernstrom, H, John, E, Johnson, N, Jones, M, Vijai, J, Kaaks, R, Khusnutdinova, E, Kitahara, C, Koutros, S, Kristensen, V, Kurian, AW, Lacey, J, Lambrechts, D, Le Marchand, L, Lejbkowicz, F, Lindblom, A, Loibl, S, Lori, A, Lubinski, J, Mannermaa, A, Manoochehri, M, Mavroudis, D, Menon, U, Mulligan, A, Murphy, R, Nevelsteen, I, Newman, WG, Obi, N, O'Brien, K, Offit, K, Olshan, A, Plaseska-Karanfilska, D, Olson, J, Panico, S, Park-Simon, T-W, Patel, A, Peterlongo, P, Rack, B, Radice, P, Rennert, G, Rhenius, V, Romero, A, Saloustros, E, Sandler, D, Schmidt, MK, Schwentner, L, Shah, M, Sharma, P, Simard, J, Southey, M, Stone, J, Tapper, WJ, Taylor, J, Teras, L, Toland, AE, Troester, M, Truong, T, van der Kolk, LE, Weinberg, C, Wendt, C, Yang, XR, Zheng, W, Ziogas, A, Dunning, AM, Pharoah, P, Easton, DF, Ben-Sachar, S, Elefant, N, Shamir, R, Elkon, R, Levi, H, Carmi, S, Rosset, S, Yerushalmi, R, Zick, A, Yablonski-Peretz, T, Wang, Q, Bolla, MK, Dennis, J, Michailidou, K, Lush, M, Ahearn, T, Andrulis, IL, Anton-Culver, H, Antoniou, AC, Arndt, V, Augustinsson, A, Auvinen, P, Freeman, LB, Beckmann, M, Behrens, S, Bermisheva, M, Bodelon, C, Bogdanova, NV, Bojesen, SE, Brenner, H, Byers, H, Camp, N, Castelao, J, Chang-Claude, J, Chirlaque, M-D, Chung, W, Clarke, C, Collee, MJ, Colonna, S, Couch, F, Cox, A, Cross, SS, Czene, K, Daly, M, Devilee, P, Dork, T, Dossus, L, Eccles, DM, Eliassen, AH, Eriksson, M, Evans, G, Fasching, P, Fletcher, O, Flyger, H, Fritschi, L, Gabrielson, M, Gago-Dominguez, M, Garcia-Closas, M, Garcia-Saenz, JA, Genkinger, J, Giles, GG, Goldberg, M, Guenel, P, Hall, P, Hamann, U, He, W, Hillemanns, P, Hollestelle, A, Hoppe, R, Hopper, J, Jakovchevska, S, Jakubowska, A, Jernstrom, H, John, E, Johnson, N, Jones, M, Vijai, J, Kaaks, R, Khusnutdinova, E, Kitahara, C, Koutros, S, Kristensen, V, Kurian, AW, Lacey, J, Lambrechts, D, Le Marchand, L, Lejbkowicz, F, Lindblom, A, Loibl, S, Lori, A, Lubinski, J, Mannermaa, A, Manoochehri, M, Mavroudis, D, Menon, U, Mulligan, A, Murphy, R, Nevelsteen, I, Newman, WG, Obi, N, O'Brien, K, Offit, K, Olshan, A, Plaseska-Karanfilska, D, Olson, J, Panico, S, Park-Simon, T-W, Patel, A, Peterlongo, P, Rack, B, Radice, P, Rennert, G, Rhenius, V, Romero, A, Saloustros, E, Sandler, D, Schmidt, MK, Schwentner, L, Shah, M, Sharma, P, Simard, J, Southey, M, Stone, J, Tapper, WJ, Taylor, J, Teras, L, Toland, AE, Troester, M, Truong, T, van der Kolk, LE, Weinberg, C, Wendt, C, Yang, XR, Zheng, W, Ziogas, A, Dunning, AM, Pharoah, P, Easton, DF, Ben-Sachar, S, Elefant, N, Shamir, R, and Elkon, R
Abstract: BACKGROUND: Polygenic risk score (PRS), calculated based on genome-wide association studies (GWASs), can improve breast cancer (BC) risk assessment. To date, most BC GWASs have been performed in individuals of European (EUR) ancestry, and the generalisation of EUR-based PRS to other populations is a major challenge. In this study, we examined the performance of EUR-based BC PRS models in Ashkenazi Jewish (AJ) women. METHODS: We generated PRSs based on data on EUR women from the Breast Cancer Association Consortium (BCAC). We tested the performance of the PRSs in a cohort of 2161 AJ women from Israel (1437 cases and 724 controls) from BCAC (BCAC cohort from Israel (BCAC-IL)). In addition, we tested the performance of these EUR-based BC PRSs, as well as the established 313-SNP EUR BC PRS, in an independent cohort of 181 AJ women from Hadassah Medical Center (HMC) in Israel. RESULTS: In the BCAC-IL cohort, the highest OR per 1 SD was 1.56 (±0.09). The OR for AJ women at the top 10% of the PRS distribution compared with the middle quintile was 2.10 (±0.24). In the HMC cohort, the OR per 1 SD of the EUR-based PRS that performed best in the BCAC-IL cohort was 1.58±0.27. The OR per 1 SD of the commonly used 313-SNP BC PRS was 1.64 (±0.28). CONCLUSIONS: Extant EUR GWAS data can be used for generating PRSs that identify AJ women with markedly elevated risk of BC and therefore hold promise for improving BC risk assessment in AJ women.
Published: 2023

7. Baseline and lifetime alcohol consumption and risk of skin cancer in the European Prospective Investigation into Cancer and Nutrition cohort (EPIC).

Author: Mahamat-Saleh, Y, Al-Rahmoun, M, Severi, G, Ghiasvand, R, Veierod, MB, Caini, S, Palli, D, Botteri, E, Sacerdote, C, Ricceri, F, Lukic, M, Sánchez, MJ, Pala, V, Tumino, R, Chiodini, P, Amiano, P, Colorado-Yohar, S, Chirlaque, M-D, Ardanaz, E, Bonet, C, Katzke, V, Kaaks, R, Schulze, MB, Overvad, K, Dahm, CC, Antoniussen, CS, Tjønneland, A, Kyrø, C, Bueno-de-Mesquita, B, Manjer, J, Jansson, M, Esberg, A, Mori, N, Ferrari, P, Weiderpass, E, Boutron-Ruault, M-C, Kvaskoff, M, Mahamat-Saleh, Y, Al-Rahmoun, M, Severi, G, Ghiasvand, R, Veierod, MB, Caini, S, Palli, D, Botteri, E, Sacerdote, C, Ricceri, F, Lukic, M, Sánchez, MJ, Pala, V, Tumino, R, Chiodini, P, Amiano, P, Colorado-Yohar, S, Chirlaque, M-D, Ardanaz, E, Bonet, C, Katzke, V, Kaaks, R, Schulze, MB, Overvad, K, Dahm, CC, Antoniussen, CS, Tjønneland, A, Kyrø, C, Bueno-de-Mesquita, B, Manjer, J, Jansson, M, Esberg, A, Mori, N, Ferrari, P, Weiderpass, E, Boutron-Ruault, M-C, and Kvaskoff, M
Abstract: Experimental evidence suggests that alcohol induces cutaneous carcinogenesis, yet epidemiological studies on the link between alcohol intake and skin cancer have been inconsistent. The European Prospective Investigation into Cancer and Nutrition (EPIC) is a prospective cohort initiated in 1992 in 10 European countries. Alcohol intake at baseline and average lifetime alcohol intake were assessed using validated country-specific dietary and lifestyle questionnaires. Hazard ratios (HRs) and 95% confidence intervals (CIs) were estimated in Cox models. A total of 14 037 skin cancer cases (melanoma: n = 2457; basal-cell carcinoma (BCC): n = 8711; squamous-cell carcinoma (SCC): n = 1928; unknown: n = 941) were identified among 450 112 participants (average follow-up: 15 years). Baseline alcohol intake was positively associated with SCC (>15 vs 0.1-4.9 g/day: HR = 1.44, 95% CI = 1.17-1.77; Ptrend = .001), BCC (HR = 1.12, 95% CI = 1.01-1.23; Ptrend = .04), and melanoma risks in men (HR = 1.17, 95% CI = 0.95-1.44; Ptrend = .17), while associations were more modest in women (SCC: HR = 1.09, 95% CI = 0.90-1.30; Ptrend = .13; BCC: HR = 1.08, 95% CI = 1.00-1.17, Ptrend = .03; melanoma: HR = 0.93, 95% CI = 0.80-1.08, Ptrend = .13). Associations were similar for lifetime alcohol intake, with an attenuated linear trend. Lifetime liquor/spirit intake was positively associated with melanoma (fourth vs first quartile: HR = 1.47, 95% CI = 1.08-1.99; Ptrend = .0009) and BCC risks in men (HR = 1.17, 95% CI = 1.04-1.31; Ptrend = .14). Baseline and lifetime intakes of wine were associated with BCC risk (HR = 1.25 in men; HR = 1.11-1.12; in women). No statistically significant associations were found between beverage types and SCC risk. Intake of beer was not associated with skin cancer risk. Our study suggests positive relationships between alcohol intake and skin cancer risk, which may have important implications for the primary prevention of skin cancer.
Published: 2023

8. SEROLOGIC MARKERS OF CHLAMYDIA TRACHOMATIS AND OTHER SEXUALLY TRANSMITTED INFECTIONS AND SUBSEQUENT OVARIAN CANCER RISK: RESULTS FROM THE EPIC COHORT: EP874

Author: Idahl, A, Le Cornet, C, Maldonado, González S, Waterboer, T, Bender, N, Tjønneland, A, Hansen, L, Boutron-Ruault, M-C, Fournier, A, Kvaskoff, M, Boeing, H, Trichopoulou, A, Valanou, E, Peppa, E, Palli, D, Agnoli, C, Mattiello, A, Tumino, R, Sacerdote, C, Onland-Moret, C, Gram, I T, Weiderpass, E, Quirós, J R, Duell, E J, Sánchez, M-J, Chirlaque, M-D, Barricarte, A, Gil, L, Brändstedt, J, Riesbeck, K, Lundin, E, Khaw, K-T, Perez-Cornago, A, Gunter, M, Dossus, L, Kaaks, R, and Fortner, Turzanski R
Published: 2019
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9. Association of Mediterranean diet with survival after breast cancer diagnosis in women from nine European countries: results from the EPIC cohort study

Author: Castro-Espin, C, Bonet, C, Crous-Bou, M, Nadal-Zaragoza, N, Tjønneland, A, Mellemkjær, L, Hajji-Louati, M, Truong, T, Katzke, V, Le Cornet, C, Schulze, MB, Jannasch, F, Masala, G, Sieri, S, Panico, S, Di Girolamo, C, Skeie, G, Borch, KB, Olsen, KS, Sánchez, M-J, Amiano, P, Chirlaque, M-D, Guevara, M, Sund, M, Bodén, S, Gunter, MJ, Gonzalez-Gil, EM, Weiderpass, E, Aguilera-Buenosvinos, I, Tsilidis, KK, Heath, AK, Aune, D, Dossus, L, and Agudo, A
Subjects: Näringslära, Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi, Nutrition and Dietetics, Breast cancer, Cancer survivors, Mediterranean diet, Public Health, Global Health, Social Medicine and Epidemiology, Dietary patterns, Prospective studies
Abstract: BACKGROUND: The Mediterranean diet has been associated with lower risk of breast cancer (BC) but evidence from prospective studies on the role of Mediterranean diet on BC survival remains sparse and conflicting. We aimed to investigate whether adherence to Mediterranean diet prior to diagnosis is associated with overall and BC-specific mortality. METHODS: A total of 13,270 incident breast cancer cases were identified from an initial sample of 318,686 women in 9 countries from the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Adherence to Mediterranean diet was estimated through the adapted relative Mediterranean diet (arMED), a 16-point score that includes 8 key components of the Mediterranean diet and excludes alcohol. The degree of adherence to arMED was classified as low (score 0-5), medium (score 6-8), and high (score 9-16). Multivariable Cox proportional hazards models were used to analyze the association between the arMED score and overall mortality, and Fine-Gray competing risks models were applied for BC-specific mortality. RESULTS: After a mean follow-up of 8.6 years from diagnosis, 2340 women died, including 1475 from breast cancer. Among all BC survivors, low compared to medium adherence to arMED score was associated with a 13% higher risk of all-cause mortality (HR 1.13, 95%CI 1.01-1.26). High compared to medium adherence to arMED showed a non-statistically significant association (HR 0.94; 95% CI 0.84-1.05). With no statistically significant departures from linearity, on a continuous scale, a 3-unit increase in the arMED score was associated with an 8% reduced risk of overall mortality (HR3-unit 0.92, 95% CI: 0.87-0.97). This result sustained when restricted to postmenopausal women and was stronger among metastatic BC cases (HR3-unit 0.81, 95% CI: 0.72-0.91). CONCLUSIONS: Consuming a Mediterranean diet before BC diagnosis may improve long-term prognosis, particularly after menopause and in cases of metastatic breast cancer. Well-designed dietary interventions are needed to confirm these findings and define specific dietary recommendations.
Published: 2023

10. Cancer survival in adult patients in Spain. Results from nine population-based cancer registries

Author: Chirlaque, M. D., Salmerón, D., Galceran, J., Ameijide, A., Mateos, A., Torrella, A., Jiménez, R., Larrañaga, N., Marcos-Gragera, R., Ardanaz, E., Sant, M., Minicozzi, P., Navarro, C., Sánchez, M. J., Mateos, Antonio, Almar, Enrique, Quirós, José Ramón, Argüelles, Marcial V., Menéndez, Virginia, Rojas, Dolores, Alemán, Araceli, Torrella, Ana, Sabater, Consol, Botella, Paloma, Chico, Matilde, Ripoll, María, Díaz, Cristina, Vicente, Marisa, Fuster, Nieves, Botella, Paloma, Díaz, José María, Jiménez, Rosario, Navarro, Ana Isabel Marcos, Larrañaga, Nerea, Bidaurrazaga, Joseba, Lopez-de-Munain, Arantza, Marcos-Gragera, Rafael, Izquierdo, Àngel, Vilardell, Loreto, Sánchez, María José, Molina-Portillo, Elena, Rodríguez-Barranco, Miguel, Perucha, Josefina, Franch, Paula, Ramos, Maria, Navarro, Carmen, Chirlaque, María Dolores, Salmerón, Diego, Ardanaz, Eva, Guevara, Marcela, Burgui, Rosana, Galceran, Jaume, Ameijide, Alberto, Carulla, Marià, Bigorra, Jàmnica, Bonet, Rafael Peris, Pardo, Elena, and the REDECAN Working Group
Published: 2017
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11. Unprocessed red meat and processed meat consumption and risk of stroke in the Spanish cohort of the European Prospective Investigation into Cancer and Nutrition (EPIC)

Author: Amiano, P., Chamosa, S., Etxezarreta, N., Arriola, L., Sanchez, M.-J., Ardanaz, E., Molina-Montes, E., Chirlaque, M.-D., Moreno-Iribas, C., Huerta, J.-M., Egues, N., Navarro, C., Requena, M., Quiros, J.-R., Fonseca-Nunes, A., Jakszyn, P., Gonzalez, C.-A., and Dorronsoro, M.
Subjects: Prepared meats -- Health aspects, Stroke -- Risk factors, Food/cooking/nutrition, Health
Abstract: BACKGROUND/OBJECTIVES: High intakes of unprocessed red or processed meat may increase the risk of stroke. We aimed to examine the association between unprocessed red meat, processed meat and total red meat consumption and risk of total stroke and ischaemic stroke. SUBJECTS/METHODS: Cox proportional hazards regression analyses were conducted based on the data for 41 020 men and women aged 29-69 years at baseline. RESULTS: During a mean follow-up of 13.8 years, 674 incident cases of stroke (531 ischaemic strokes, 79 haemorrhagic strokes, 42 subarachnoid haemorrhages and 22 mixed or unspecified events) were identified. After multiple adjustment, unprocessed red meat, processed meat and total red meat consumption were not correlated with incidence of total stroke or ischaemic stroke in either men or women. The hazard ratios (HRs) for unprocessed red meat and processed meat and risk of total stroke comparing the highest with the lowest quintiles were, respectively, 0.81 (95% confidence interval (CI) 0.54-1.21; P-trend =0.15) and 0.92 (95% CI 0.64-1.32; P-trend = 0.82) in men and 1.21 (95% CI 0.79-1.85; P-trend =0.10) and 0.81 (95% CI 0.51-1.27; P-trend =0.17) in women. The HRs for unprocessed red meat and processed meat and risk of ischaemic stroke were, respectively, 0.80 (95% CI 0.51-1.25; Ptrend = 0.51) and 0.86 (95% CI 0.57-1.29; P-trend =0.77) in men and 1.24 (95% CI 0.74-2.05; P-trend = 0.13) and 0.82 (95% CI 0.471.42; P-trend = 0.31) in women. CONCLUSIONS: In the Spanish European Prospective Investigation into Cancer and Nutrition (EPIC) cohort, unprocessed red meat and processed meat consumption were not associated with risk of stroke in men or women. European Journal of Clinical Nutrition (2016) 70, 313-319; doi: 10.1038/ejcn.2015.150; published online 30 September 2015, INTRODUCTION In recent years, there has been considerable interest in investigating the relationship between protein-rich foods and risk of coronary heart disease (CHD) and stroke. These studies have focused mainly [...]
Published: 2016
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12. Clear Improvement in Real-World Chronic Myeloid Leukemia Survival: A Comparison With Randomized Controlled Trials

Author: Vener, C., Rossi, S., Minicozzi, P., Marcos-Gragera, R., Poirel, H. A., Maynadie, M., Troussard, X., Pravettoni, G., De Angelis, R., Sant, M., Hackl, M., Van Eycken, E., Valerianova, Z., Sekerija, M., Pavlou, P., Dusek, L., Storm, H., Magi, M., Innos, K., Malila, N., Pitkaniemi, J., Velten, M., Bouvier, A. M., Jooste, V., Guizard, A. V., Launoy, G., Yonli, S. D., Woronoff, A. S., Nousbaum, J. B., Coureau, G., Monnereau, A., Baldi, I., Hammas, K., Tretarre, B., Colonna, M., Plouvier, S., D'Almeida, T., Molinie, F., Cowppli-Bony, A., Bara, S., Schvartz, C., Defossez, G., Lapotre-Ledoux, B., Grosclaude, P., Luttmann, S., Stabenow, R., Nennecke, A., Kieschke, J., Zeissig, S., Holleczek, B., Katalinic, A., Birgisson, H., Murray, D., Walsh, P. M., Mazzoleni, G., Vittadello, F., Cuccaro, F., Galasso, R., Sampietro, G., Rosso, S., Magoni, M., Ferrante, M., Sardo, A. S., Gambino, M. L., Ballotari, P., Giacomazzi, E., Ferretti, S., Caldarella, A., Manneschi, G., Gatta, G., Baili, P., Berrino, F., Botta, L., Trama, A., Lillini, R., Bernasconi, A., Bonfarnuzzo, S., Didone, F., Lasalvia, P., Del Monego, G., Magri, M. C., Buratti, L., Serraino, D., Dal Maso, L., Capocaccia, R., Demuru, E., Di Benedetto, C., Santaquilani, M., Venanzi, S., Filiberti, R. A., Iacovacci, S., Gennaro, V., Russo, A. G., Spagnoli, G., D'Oro, L. C., Fusco, M., Vitale, M. F., Usala, M., Vitale, F., Michiara, M., Chiranda, G., Cascone, G., Spata, E., Mangone, L., Falcini, F., Cavallo, R., Piras, D., Madeddu, A., Bella, F., Fanetti, A. C., Minerba, S., Candela, G., Scuderi, T., Rizzello, R. V., Stracci, F., Tagliabue, G., Rugge, M., Brustolin, A., Pildava, S., Smailyte, G., Azzopardi, M., Johannesen, T. B., Didkowska, J., Wojciechowska, U., Bielska-Lasota, M., Pais, A., Pontes, J. L., Miranda, A., Diba, C. S., Zadnik, V., Zagar, T., Escudero, C. S. -C., Sureda, P. F., de Munain, A. L., De-La-cruz, M., Rojas, M. D., Aleman, A., Vizcaino, A., Sanchez, M. J., Chirlaque, M. D., Eslava, M. G., Ardanaz, E., Galceran, J., Carulla, M., Bergeron, Y., Bouchardy, C., Mousavi, S. M., Bordoni, A., Visser, O., Rashbass, J., Gavin, A., Morrison, D., and Huws, D. W.
Subjects: Cancer Research, Survival, real-world data, randomized controlled trials (RCTs), tyrosine kinase inhibitor (TKI), population-based studies, Tyrosine kinase inhibitor (TKI), Randomized controlled trials (RCTs), survival, Real-world data, Europe, Oncology, cancer registries, chronic myeloid leukemia (CML), Chronic myeloid leukemia (CML), Cancer registries, Population-based studies
Abstract: This study was funded by the Compagnia di San Paolo, the Cariplo Foundation and the European Commission (grant number 801520 HP-JA-2017, Innovative Partnership for Action Against Cancer, iPAAC Joint Action). The sources of the funding played no role in designing the study, collecting, analyzing, or interpreting the data, writing the report, or deciding whether or not to submit the article for publication. This research was (partially) funded by Italian Ministry of Health "Ricerca Corrente" funds. Tyrosine kinase inhibitors (TKIs) have been improving the prognosis of patients with chronic myeloid leukemia (CML), but there are still large differences in survival among European countries. This raises questions on the added value of results from population-based studies, which use real-world data, compared to results of randomized controlled trials (RCTs) involving patients with CML. There are also questions about the extent of the findings on RCTs effectiveness for patients in the general population. We compare survival data extracted from our previous systematic review and meta-analysis of CML RCTs with the latest updated population-based survival data of EUROCARE-6, the widest collaborative study on cancer survival in Europe. The EUROCARE-6 CML survival estimated in patients (15-64 years) diagnosed in 2000-2006 vs. 2007-2013 revealed that the prognostic improvement highlighted by RCTs was confirmed in real-world settings, too. The study shows, evaluating for the first time all European regions, that the optimal outcome figures obtained in controlled settings for CML are also achievable (and indeed achieved) in real-world settings with prompt introduction of TKIs in daily clinical practice. However, some differences still persist, particularly in Eastern European countries, where overall survival values are lower than elsewhere, probably due to a delayed introduction of TKIs. Our results suggest an insufficient adoption of adequate protocols in daily clinical practice in those countries where CML survival values remain lower in real life than the values obtained in RCTs. New high-resolution population-based studies may help to identify failures in the clinical pathways followed there.
Published: 2022

13. Pre-diagnostic C-reactive protein concentrations, CRP genetic variation and mortality among individuals with colorectal cancer in Western European populations.

Author: Nimptsch, K, Aleksandrova, K, Fedirko, V, Jenab, M, Gunter, MJ, Siersema, PD, Wu, K, Katzke, V, Kaaks, R, Panico, S, Palli, D, May, AM, Sieri, S, Bueno-de-Mesquita, B, Standahl, K, Sánchez, M-J, Perez-Cornago, A, Olsen, A, Tjønneland, A, Bonet, CB, Dahm, CC, Chirlaque, M-D, Fiano, V, Tumino, R, Gurrea, AB, Boutron-Ruault, M-C, Menegaux, F, Severi, G, van Guelpen, B, Lee, Y-A, Pischon, T, Nimptsch, K, Aleksandrova, K, Fedirko, V, Jenab, M, Gunter, MJ, Siersema, PD, Wu, K, Katzke, V, Kaaks, R, Panico, S, Palli, D, May, AM, Sieri, S, Bueno-de-Mesquita, B, Standahl, K, Sánchez, M-J, Perez-Cornago, A, Olsen, A, Tjønneland, A, Bonet, CB, Dahm, CC, Chirlaque, M-D, Fiano, V, Tumino, R, Gurrea, AB, Boutron-Ruault, M-C, Menegaux, F, Severi, G, van Guelpen, B, Lee, Y-A, and Pischon, T
Abstract: BACKGROUND: The role of elevated pre-diagnostic C-reactive protein (CRP) concentrations on mortality in individuals with colorectal cancer (CRC) remains unclear. METHODS: We investigated the association between pre-diagnostic high-sensitivity CRP concentrations and CRP genetic variation associated with circulating CRP and CRC-specific and all-cause mortality based on data from 1,235 individuals with CRC within the European Prospective Investigation into Cancer and Nutrition cohort using multivariable-adjusted Cox proportional hazards regression. RESULTS: During a median follow-up of 9.3 years, 455 CRC-specific deaths were recorded, out of 590 deaths from all causes. Pre-diagnostic CRP concentrations were not associated with CRC-specific (hazard ratio, HR highest versus lowest quintile 0.92, 95% confidence interval, CI 0.66, 1.28) or all-cause mortality (HR 0.91, 95% CI 0.68, 1.21). Genetic predisposition to higher CRP (weighted score based on alleles of four CRP SNPs associated with higher circulating CRP) was not significantly associated with CRC-specific mortality (HR per CRP-score unit 0.95, 95% CI 0.86, 1.05) or all-cause mortality (HR 0.98, 95% CI 0.90, 1.07). Among four investigated CRP genetic variants, only SNP rs1205 was significantly associated with CRC-specific (comparing the CT and CC genotypes with TT genotype, HR 0.54, 95% CI 0.35, 0.83 and HR 0.58, 95% CI 0.38, 0.88, respectively) and all-cause mortality (HR 0.58, 95% CI 0.40, 0.85 and 0.64, 95% CI 0.44, 0.92, respectively). CONCLUSIONS: The results of this prospective cohort study do not support a role of pre-diagnostic CRP concentrations on mortality in individuals with CRC. The observed associations with rs1205 deserve further scientific attention.
Published: 2022

14. Pan-cancer analysis of pre-diagnostic blood metabolite concentrations in the European Prospective Investigation into Cancer and Nutrition.

Author: Breeur, M, Ferrari, P, Dossus, L, Jenab, M, Johansson, M, Rinaldi, S, Travis, RC, His, M, Key, TJ, Schmidt, JA, Overvad, K, Tjønneland, A, Kyrø, C, Rothwell, JA, Laouali, N, Severi, G, Kaaks, R, Katzke, V, Schulze, MB, Eichelmann, F, Palli, D, Grioni, S, Panico, S, Tumino, R, Sacerdote, C, Bueno-de-Mesquita, B, Olsen, KS, Sandanger, TM, Nøst, TH, Quirós, JR, Bonet, C, Barranco, MR, Chirlaque, M-D, Ardanaz, E, Sandsveden, M, Manjer, J, Vidman, L, Rentoft, M, Muller, D, Tsilidis, K, Heath, AK, Keun, H, Adamski, J, Keski-Rahkonen, P, Scalbert, A, Gunter, MJ, Viallon, V, Breeur, M, Ferrari, P, Dossus, L, Jenab, M, Johansson, M, Rinaldi, S, Travis, RC, His, M, Key, TJ, Schmidt, JA, Overvad, K, Tjønneland, A, Kyrø, C, Rothwell, JA, Laouali, N, Severi, G, Kaaks, R, Katzke, V, Schulze, MB, Eichelmann, F, Palli, D, Grioni, S, Panico, S, Tumino, R, Sacerdote, C, Bueno-de-Mesquita, B, Olsen, KS, Sandanger, TM, Nøst, TH, Quirós, JR, Bonet, C, Barranco, MR, Chirlaque, M-D, Ardanaz, E, Sandsveden, M, Manjer, J, Vidman, L, Rentoft, M, Muller, D, Tsilidis, K, Heath, AK, Keun, H, Adamski, J, Keski-Rahkonen, P, Scalbert, A, Gunter, MJ, and Viallon, V
Abstract: BACKGROUND: Epidemiological studies of associations between metabolites and cancer risk have typically focused on specific cancer types separately. Here, we designed a multivariate pan-cancer analysis to identify metabolites potentially associated with multiple cancer types, while also allowing the investigation of cancer type-specific associations. METHODS: We analysed targeted metabolomics data available for 5828 matched case-control pairs from cancer-specific case-control studies on breast, colorectal, endometrial, gallbladder, kidney, localized and advanced prostate cancer, and hepatocellular carcinoma nested within the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. From pre-diagnostic blood levels of an initial set of 117 metabolites, 33 cluster representatives of strongly correlated metabolites and 17 single metabolites were derived by hierarchical clustering. The mutually adjusted associations of the resulting 50 metabolites with cancer risk were examined in penalized conditional logistic regression models adjusted for body mass index, using the data-shared lasso penalty. RESULTS: Out of the 50 studied metabolites, (i) six were inversely associated with the risk of most cancer types: glutamine, butyrylcarnitine, lysophosphatidylcholine a C18:2, and three clusters of phosphatidylcholines (PCs); (ii) three were positively associated with most cancer types: proline, decanoylcarnitine, and one cluster of PCs; and (iii) 10 were specifically associated with particular cancer types, including histidine that was inversely associated with colorectal cancer risk and one cluster of sphingomyelins that was inversely associated with risk of hepatocellular carcinoma and positively with endometrial cancer risk. CONCLUSIONS: These results could provide novel insights for the identification of pathways for cancer development, in particular those shared across different cancer types.
Published: 2022

15. Long-term survival and cure fraction estimates for childhood cancer in Europe (EUROCARE-6): results from a population-based study

Author: Botta, L, Gatta, G, Capocaccia, R, Stiller, C, Canete, A, Dal Maso, L, Innos, K, Mihor, A, Erdmann, F, Spix, C, Lacour, B, Marcos-Gragera, R, Murray, D, Rossi, S, Hackl, M, Van Eycken, E, Van Damme, N, Valerianova, Z, Sekerija, M, Scoutellas, V, Demetriou, A, Dusek, L, Krejci, D, Storm, H, Magi, M, Paapsi, K, Malila, N, Pitkaniemi, J, Jooste, V, Clavel, J, Poulalhon, C, Desandes, E, Monnereau, A, Katalinic, A, Petridou, E, Markozannes, G, Garami, M, Birgisson, H, Walsh, P, Mazzoleni, G, Vittadello, F, Cuccaro, F, Galasso, R, Sampietro, G, Rosso, S, Gasparotto, C, Maifredi, G, Ferrante, M, Torrisi, A, Sutera Sardo, A, Gambino, M, Lanzoni, M, Ballotari, P, Giacomazzi, E, Ferretti, S, Caldarella, A, Manneschi, G, Sant, M, Baili, P, Berrino, F, Trama, A, Lillini, R, Bernasconi, A, Bonfarnuzzo, S, Vener, C, Didone, F, Lasalvia, P, Del Monego, G, Buratti, L, Serraino, D, Taborelli, M, De Angelis, R, Demuru, E, Di Benedetto, C, Santaquilani, M, Venanzi, S, Tallon, M, Boni, L, Iacovacci, S, Russo, A, Gervasi, F, Spagnoli, G, Cavalieri d'Oro, L, Fusco, M, Vitale, M, Usala, M, Vitale, F, Michiara, M, Chiranda, G, Sacerdote, C, Maule, M, Cascone, G, Spata, E, Mangone, L, Falcini, F, Cavallo, R, Piras, D, Dinaro, Y, Castaing, M, Fanetti, A, Minerba, S, Candela, G, Scuderi, T, Rizzello, R, Stracci, F, Tagliabue, G, Rugge, M, Brustolin, A, Pildava, S, Smailyte, G, Azzopardi, M, Johannesen, T, Didkowska, J, Wojciechowska, U, Bielska-Lasota, M, Pais, A, Ferreira, A, Bento, M, Miranda, A, Safaei Diba, C, Zadnik, V, Zagar, T, Sanchez-Contador Escudero, C, Franch Sureda, P, Lopez de Munain, A, De-La-Cruz, M, Rojas, M, Aleman, A, Vizcaino, A, Almela, F, Sanvisens, A, Sanchez, M, Chirlaque, M, Sanchez-Gil, A, Guevara, M, Ardanaz, E, Canete-Nieto, A, Peris-Bonet, R, Galceran, J, Carulla, M, Kuehni, C, Redmond, S, Visser, O, Karim-Kos, H, Stevens, S, Gavin, A, Morrison, D, Huws, D, Botta L., Gatta G., Capocaccia R., Stiller C., Canete A., Dal Maso L., Innos K., Mihor A., Erdmann F., Spix C., Lacour B., Marcos-Gragera R., Murray D., Rossi S., Hackl M., Van Eycken E., Van Damme N., Valerianova Z., Sekerija M., Scoutellas V., Demetriou A., Dusek L., Krejci D., Storm H., Magi M., Paapsi K., Malila N., Pitkaniemi J., Jooste V., Clavel J., Poulalhon C., Desandes E., Monnereau A., Katalinic A., Petridou E., Markozannes G., Garami M., Birgisson H., Walsh P. M., Mazzoleni G., Vittadello F., Cuccaro F., Galasso R., Sampietro G., Rosso S., Gasparotto C., Maifredi G., Ferrante M., Torrisi A., Sutera Sardo A., Gambino M. L., Lanzoni M., Ballotari P., Giacomazzi E., Ferretti S., Caldarella A., Manneschi G., Sant M., Baili P., Berrino F., Trama A., Lillini R., Bernasconi A., Bonfarnuzzo S., Vener C., Didone F., Lasalvia P., Del Monego G., Buratti L., Serraino D., Taborelli M., De Angelis R., Demuru E., Di Benedetto C., Santaquilani M., Venanzi S., Tallon M., Boni L., Iacovacci S., Russo A. G., Gervasi F., Spagnoli G., Cavalieri d'Oro L., Fusco M., Vitale M. F., Usala M., Vitale F., Michiara M., Chiranda G., Sacerdote C., Maule M., Cascone G., Spata E., Mangone L., Falcini F., Cavallo R., Piras D., Dinaro Y., Castaing M., Fanetti A. C., Minerba S., Candela G., Scuderi T., Rizzello R. V., Stracci F., Tagliabue G., Rugge M., Brustolin A., Pildava S., Smailyte G., Azzopardi M., Johannesen T. B., Didkowska J., Wojciechowska U., Bielska-Lasota M., Pais A., Ferreira A. M., Bento M. J., Miranda A., Safaei Diba C., Zadnik V., Zagar T., Sanchez-Contador Escudero C., Franch Sureda P., Lopez de Munain A., De-La-Cruz M., Rojas M. D., Aleman A., Vizcaino A., Almela F., Sanvisens A., Sanchez M. J., Chirlaque M. D., Sanchez-Gil A., Guevara M., Ardanaz E., Canete-Nieto A., Peris-Bonet R., Galceran J., Carulla M., Kuehni C., Redmond S., Visser O., Karim-Kos H., Stevens S., Gavin A., Morrison D., Huws D. W., Botta, L, Gatta, G, Capocaccia, R, Stiller, C, Canete, A, Dal Maso, L, Innos, K, Mihor, A, Erdmann, F, Spix, C, Lacour, B, Marcos-Gragera, R, Murray, D, Rossi, S, Hackl, M, Van Eycken, E, Van Damme, N, Valerianova, Z, Sekerija, M, Scoutellas, V, Demetriou, A, Dusek, L, Krejci, D, Storm, H, Magi, M, Paapsi, K, Malila, N, Pitkaniemi, J, Jooste, V, Clavel, J, Poulalhon, C, Desandes, E, Monnereau, A, Katalinic, A, Petridou, E, Markozannes, G, Garami, M, Birgisson, H, Walsh, P, Mazzoleni, G, Vittadello, F, Cuccaro, F, Galasso, R, Sampietro, G, Rosso, S, Gasparotto, C, Maifredi, G, Ferrante, M, Torrisi, A, Sutera Sardo, A, Gambino, M, Lanzoni, M, Ballotari, P, Giacomazzi, E, Ferretti, S, Caldarella, A, Manneschi, G, Sant, M, Baili, P, Berrino, F, Trama, A, Lillini, R, Bernasconi, A, Bonfarnuzzo, S, Vener, C, Didone, F, Lasalvia, P, Del Monego, G, Buratti, L, Serraino, D, Taborelli, M, De Angelis, R, Demuru, E, Di Benedetto, C, Santaquilani, M, Venanzi, S, Tallon, M, Boni, L, Iacovacci, S, Russo, A, Gervasi, F, Spagnoli, G, Cavalieri d'Oro, L, Fusco, M, Vitale, M, Usala, M, Vitale, F, Michiara, M, Chiranda, G, Sacerdote, C, Maule, M, Cascone, G, Spata, E, Mangone, L, Falcini, F, Cavallo, R, Piras, D, Dinaro, Y, Castaing, M, Fanetti, A, Minerba, S, Candela, G, Scuderi, T, Rizzello, R, Stracci, F, Tagliabue, G, Rugge, M, Brustolin, A, Pildava, S, Smailyte, G, Azzopardi, M, Johannesen, T, Didkowska, J, Wojciechowska, U, Bielska-Lasota, M, Pais, A, Ferreira, A, Bento, M, Miranda, A, Safaei Diba, C, Zadnik, V, Zagar, T, Sanchez-Contador Escudero, C, Franch Sureda, P, Lopez de Munain, A, De-La-Cruz, M, Rojas, M, Aleman, A, Vizcaino, A, Almela, F, Sanvisens, A, Sanchez, M, Chirlaque, M, Sanchez-Gil, A, Guevara, M, Ardanaz, E, Canete-Nieto, A, Peris-Bonet, R, Galceran, J, Carulla, M, Kuehni, C, Redmond, S, Visser, O, Karim-Kos, H, Stevens, S, Gavin, A, Morrison, D, Huws, D, Botta L., Gatta G., Capocaccia R., Stiller C., Canete A., Dal Maso L., Innos K., Mihor A., Erdmann F., Spix C., Lacour B., Marcos-Gragera R., Murray D., Rossi S., Hackl M., Van Eycken E., Van Damme N., Valerianova Z., Sekerija M., Scoutellas V., Demetriou A., Dusek L., Krejci D., Storm H., Magi M., Paapsi K., Malila N., Pitkaniemi J., Jooste V., Clavel J., Poulalhon C., Desandes E., Monnereau A., Katalinic A., Petridou E., Markozannes G., Garami M., Birgisson H., Walsh P. M., Mazzoleni G., Vittadello F., Cuccaro F., Galasso R., Sampietro G., Rosso S., Gasparotto C., Maifredi G., Ferrante M., Torrisi A., Sutera Sardo A., Gambino M. L., Lanzoni M., Ballotari P., Giacomazzi E., Ferretti S., Caldarella A., Manneschi G., Sant M., Baili P., Berrino F., Trama A., Lillini R., Bernasconi A., Bonfarnuzzo S., Vener C., Didone F., Lasalvia P., Del Monego G., Buratti L., Serraino D., Taborelli M., De Angelis R., Demuru E., Di Benedetto C., Santaquilani M., Venanzi S., Tallon M., Boni L., Iacovacci S., Russo A. G., Gervasi F., Spagnoli G., Cavalieri d'Oro L., Fusco M., Vitale M. F., Usala M., Vitale F., Michiara M., Chiranda G., Sacerdote C., Maule M., Cascone G., Spata E., Mangone L., Falcini F., Cavallo R., Piras D., Dinaro Y., Castaing M., Fanetti A. C., Minerba S., Candela G., Scuderi T., Rizzello R. V., Stracci F., Tagliabue G., Rugge M., Brustolin A., Pildava S., Smailyte G., Azzopardi M., Johannesen T. B., Didkowska J., Wojciechowska U., Bielska-Lasota M., Pais A., Ferreira A. M., Bento M. J., Miranda A., Safaei Diba C., Zadnik V., Zagar T., Sanchez-Contador Escudero C., Franch Sureda P., Lopez de Munain A., De-La-Cruz M., Rojas M. D., Aleman A., Vizcaino A., Almela F., Sanvisens A., Sanchez M. J., Chirlaque M. D., Sanchez-Gil A., Guevara M., Ardanaz E., Canete-Nieto A., Peris-Bonet R., Galceran J., Carulla M., Kuehni C., Redmond S., Visser O., Karim-Kos H., Stevens S., Gavin A., Morrison D., and Huws D. W.
Abstract: Background: The EUROCARE-5 study revealed disparities in childhood cancer survival among European countries, giving rise to important initiatives across Europe to reduce the gap. Extending its representativeness through increased coverage of eastern European countries, the EUROCARE-6 study aimed to update survival progress across countries and years of diagnosis and provide new analytical perspectives on estimates of long-term survival and the cured fraction of patients with childhood cancer. Methods: In this population-based study, we analysed 135 847 children (aged 0–14 years) diagnosed during 2000–13 and followed up to the end of 2014, recruited from 80 population-based cancer registries in 31 European countries. We calculated age-adjusted 5-year survival differences by country and over time using period analysis, for all cancers combined and for major cancer types. We applied a variant of standard mixture cure models for survival data to estimate the cure fraction of patients by childhood cancer and to estimate projected 15-year survival. Findings: 5-year survival for all childhood cancer combined in Europe in 2010–14 was 81% (95% CI 81–82), showing an increase of three percentage points compared with 2004–06. Significant progress over time was observed for almost all cancers. Survival remained stable for osteosarcomas, Ewing sarcoma, Burkitt lymphoma, non-Hodgkin lymphomas, and rhabdomyoscarcomas. For all cancers combined, inequalities still persisted among European countries (with age-adjusted 5-year survival ranging from 71% [95% CI 60–79] to 87% [77–93]). The 15-year survival projection for all patients with childhood cancer diagnosed in 2010–13 was 78%. We estimated the yearly long-term mortality rate due to causes other than the diagnosed cancer to be around 2 per 1000 patients for all childhood cancer combined, but to approach zero for retinoblastoma. The cure fraction for patients with childhood cancer increased over time from 74% (95% CI 73–75) in 1998–
Published: 2022

16. Milk intake and incident stroke and CHD in populations of European descent: A Mendelian randomisation study

Author: Cardiovasculaire Epi Team 1, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Circulatory Health, Public Health Practice, Public Health Epidemiologie, Vissers, L. E.T., Sluijs, I., Burgess, S., Forouhi, N. G., Freisling, H., Imamura, F., Nilsson, T. K., Renström, F., Weiderpass, E., Aleksandrova, K., Dahm, C. C., Perez-Cornago, A., Schulze, M. B., Tong, T. Y.N., Aune, D., Bonet, C., Boeing, H., Chirlaque, M. D., Conchi, M. I., Imaz, L., Jäger, S., Krogh, V., Kyrø, C., Masala, G., Melander, O., Overvad, K., Panico, S., Sánches, M. J., Sonestedt, E., Tjønneland, A., Tzoulaki, I., Verschuren, W. M.M., Riboli, E., Wareham, N. J., Danesh, J., Butterworth, A. S., Van Der Schouw, Y. T., Cardiovasculaire Epi Team 1, JC onderzoeksprogramma Cardiovasculaire Epidemiologie, Circulatory Health, Public Health Practice, Public Health Epidemiologie, Vissers, L. E.T., Sluijs, I., Burgess, S., Forouhi, N. G., Freisling, H., Imamura, F., Nilsson, T. K., Renström, F., Weiderpass, E., Aleksandrova, K., Dahm, C. C., Perez-Cornago, A., Schulze, M. B., Tong, T. Y.N., Aune, D., Bonet, C., Boeing, H., Chirlaque, M. D., Conchi, M. I., Imaz, L., Jäger, S., Krogh, V., Kyrø, C., Masala, G., Melander, O., Overvad, K., Panico, S., Sánches, M. J., Sonestedt, E., Tjønneland, A., Tzoulaki, I., Verschuren, W. M.M., Riboli, E., Wareham, N. J., Danesh, J., Butterworth, A. S., and Van Der Schouw, Y. T.
Published: 2022

17. High-risk subtypes of chronic lymphocytic leukemia are detectable as early as 16 years prior to diagnosis

Author: Kolijn, P.M. Hosnijeh, F.S. Späth, F. Hengeveld, P.J. Agathangelidis, A. Saleh, M. Casabonne, D. Benavente, Y. Jerkeman, M. Agudo, A. Barricarte, A. Besson, C. Sánchez, M.-J. Chirlaque, M.-D. Masala, G. Sacerdote, C. Grioni, S. Schulze, M.B. Nieters, A. Engelfriet, P. Hultdin, M. McKay, J.D. Vermeulen, R.C.H. Langerak, A.W.
Subjects: immune system diseases, hemic and lymphatic diseases
Abstract: Chronic lymphocytic leukemia (CLL) is preceded by monoclonal B-cell lymphocytosis (MBL), a CLL precursor state with a prevalence of up to 12% in aged individuals; however, the duration of MBL and the mechanisms of its evolution to CLL remain largely unknown. In this study, we sequenced the B-cell receptor (BcR) immunoglobulin heavy chain (IGH) gene repertoire of 124 patients with CLL and 118 matched controls in blood samples taken up to 22 years prior to diagnosis. Significant skewing in the BcR IGH gene repertoire was detected in the majority of patients, even before the occurrence of lymphocytosis and irrespective of the clonotypic IGH variable gene somatic hypermutation status. Furthermore, we identified dominant clonotypes belonging to major stereotyped subsets associated with poor prognosis up to 16 years before diagnosis in 14 patients with CLL. In 22 patients with longitudinal samples, the skewing of the BcR IGH gene repertoire increased significantly over time to diagnosis or remained stable at high levels. For 14 of 16 patients with available samples at diagnosis, the CLL clonotype was already present in the prediagnostic samples. Overall, our data indicate that the preclinical phase of CLL could be longer than previously thought, even in adverse-prognostic cases. © 2022 American Society of Hematology
Published: 2022

18. Body size at different ages and risk of six cancers: a Mendelian randomization and prospective cohort study

Author: 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
Subjects: 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.
Published: 2022

19. Dietary Folate Intake and Breast Cancer Risk: European Prospective Investigation Into Cancer and Nutrition

Author: de Batlle, J., Ferrari, P., Chajes, V., Park, J. Y., Slimani, N., McKenzie, F., Overvad, K., Roswall, N., Tjønneland, A., Boutron-Ruault, M. C., Clavel-Chapelon, F., Fagherazzi, G., Katzke, V., Kaaks, R., Bergmann, M. M., Trichopoulou, A., Lagiou, P., Trichopoulos, D., Palli, D., Sieri, S., Panico, S., Tumino, R., Vineis, P., Bueno-de-Mesquita, H. B., Peeters, P. H., Hjartåker, A., Engeset, D., Weiderpass, E., Sánchez, S., Travier, N., Sánchez, M. J., Amiano, P., Chirlaque, M. D., Barricarte Gurrea, A., Khaw, K. T., Key, T. J., Bradbury, K. E., Ericson, U., Sonestedt, E., Van Guelpen, B., Schneede, J., Riboli, E., and Romieu, I.
Published: 2015
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20. Meat Intake and Bladder Cancer in a Prospective Study: A Role for Heterocyclic Aromatic Amines?

Author: Lumbreras, B., Garte, S., Overvad, K., Tjonneland, A., Clavel-Chapelon, F., Linseisen, J. P., Boeing, H., Trichopoulou, A., Palli, D., Peluso, M., Krogh, V., Tumino, R., Panico, S., Bueno-De-Mesquita, H. B., Peeters, P. H., Lund, E., Martinez, C., Dorronsoro, M., Barricarte, A., Chirlaque, M.-D., Quiros, J. R., Berglund, G., Hallmans, G., Day, N. E., Key, T. J., Saracci, R., Kaaks, R., Malaveille, C., Ferrari, P., Boffetta, P., Norat, T., Riboli, E., Gonzalez, C. A., and Vineis, P.
Published: 2008
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21. Modified Mediterranean diet and survival after myocardial infarction: the EPIC-Elderly study

Author: Trichopoulou, A., Bamia, C., Norat, T., Overvad, K., Schmidt, E. B., Tjønneland, A., Halkjær, J., Clavel-Chapelon, F., Vercambre, M. -N., Boutron-Ruault, M. -C., Linseisen, J., Rohrmann, S., Boeing, H., Weikert, C., Benetou, V., Psaltopoulou, T., Orfanos, P., Boffetta, P., Masala, G., Pala, V., Panico, S., Tumino, R., Sacerdote, C., Bueno-de-Mesquita, H. B., Ocke, M. C., Peeters, P. H., Van der Schouw, Y. T., González, C., Sanchez, M. J., Chirlaque, M. D., Moreno, C., Larrañaga, N., Van Guelpen, B., Jansson, J. -H., Bingham, S., Khaw, K. -T., Spencer, E. A., Key, T., Riboli, E., and Trichopoulos, D.
Published: 2007

22. Validity of self reported diagnoses of cancer in a major Spanish prospective cohort study

Author: Navarro, C, Chirlaque, M D, Tormo, M J, Pérez-Flores, D, Rodríguez-Barranco, M, Sánchez-Villegas, A, Agudo, A, Pera, G, Amiano, P, Dorronsoro, M, Larrañaga, N, Quirós, J R, Ardanaz, E, Barricarte, A, Martínez, C, Sánchez, M J, Berenguer, A, and González, C A
Published: 2006

23. Variants in phospholipid metabolism and upstream regulators and non-small cell lung cancer susceptibility

Author: Cebrián, A., Taron, M., Sala, N., Ardanaz, E., Chirlaque, M.-D., Larrañaga, N., Redondo, M.-L., Sánchez, M.-J., Gómez del Pulgar, T., Camps, C., Rosell, R., González, C. A., and Lacal, J. C.
Published: 2014
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24. Milk intake and incident stroke and CHD in populations of European descent: a Mendelian randomisation study

Author: Vissers, L. E. T., primary, Sluijs, I., additional, Burgess, S., additional, Forouhi, N. G., additional, Freisling, H., additional, Imamura, F., additional, Nilsson, T. K., additional, Renström, F., additional, Weiderpass, E., additional, Aleksandrova, K., additional, Dahm, C. C., additional, Perez-Cornago, A., additional, Schulze, M. B., additional, Tong, T. Y. N., additional, Aune, D., additional, Bonet, C., additional, Boer, J. M. A., additional, Boeing, H., additional, Chirlaque, M. D., additional, Conchi, M. I., additional, Imaz, L., additional, Jäger, S., additional, Krogh, V., additional, Kyrø, C., additional, Masala, G., additional, Melander, O., additional, Overvad, K., additional, Panico, S., additional, Sánches, M. J., additional, Sonestedt, E., additional, Tjønneland, A., additional, Tzoulaki, I., additional, Verschuren, W. M. M., additional, Riboli, E., additional, Wareham, N. J., additional, Danesh, J., additional, Butterworth, A. S., additional, and van der Schouw, Y. T., additional
Published: 2021
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25. Validation of Self Diagnosis of High Blood Pressure in a Sample of the Spanish EPIC Cohort: Overall Agreement and Predictive Values

Author: Tormo, M-J., Navarro, C., Chirlaque, M. D., and Barber, X.
Published: 2000

26. Reproductive and hormone-related risk factors for epithelial ovarian cancer by histologic pathways, invasiveness and histologic subtypes: Results from the EPIC cohort

Author: Fortner, Renée T., Ose, Jennifer, Merritt, Melissa A., Schock, Helena, Tjnneland, Anne, Hansen, Louise, Overvad, Kim, Dossus, Laure, Clavel-Chapelon, Françoise, Baglietto, Laura, Boeing, Heiner, Trichopoulou, Antonia, Benetou, Vassiliki, Lagiou, Pagona, Agnoli, Claudia, Mattiello, Amalia, Masala, Giovanna, Tumino, Rosario, Sacerdote, Carlotta, Bueno-de-Mesquita, H. B(as), Onland-Moret, Charlotte N., Peeters, Petra H., Weiderpass, Elisabete, Gram, Inger Torhild, Duell, Eric J, Larrañaga, Nerea, Ardanaz, Eva, Sánchez, María-José, Chirlaque, M-D, Brändstedt, Jenny, Idahl, Annika, Lundin, Eva, Khaw, Kay-Tee, Wareham, Nick, Travis, Ruth C., Rinaldi, Sabina, Romieu, Isabelle, Gunter, Marc J., Riboli, Elio, and Kaaks, Rudolf
Published: 2015
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27. Red blood cell fatty acids and risk of colorectal cancer in the European Prospective investigation into cancer and nutrition (EPIC)

Author: Linseisen, J., Grundmann, N., Zoller, D., Kuhn, T., Chajes, V., Fedirko, V., Weiderpass, E., Dahm, C.C., Overvad, K., Tjønneland, A., Boutron-Ruault, M.-C., Rothwell, J.A., Severi, G., Kaaks, R., Schulze, M.B., Aleksandrova, K., Sieri, S., Panico, S., Tumino, R., Masala, G., de Marco, L., Bueno-De-Mesquita, B., Vermeulen, R., Gram, I.T., Skeie, G., Chirlaque, M.-D., Ardanaz, E., Agudo, A., Sánchez, M.-J., Amiano, P., Wennberg, M., Bodén, S., Perez-Cornago, A., Aglago, E.K., Gunter, M.J., Jenab, M., Heath, A.K., Nieters, A., IRAS OH Epidemiology Chemical Agents, and dIRAS RA-2
Subjects: Oncology, Epidemiology
Abstract: Background: A growing body of evidence suggests that alterations of dietary fatty acid (FA) profiles are associated with colorectal cancer risk. However, data from large-scale epidemiologic studies using circulating FA measurements to objectively assess individual FA and FA categories are scarce. Methods: We investigate the association between red blood cell (RBC) membrane FAs and risk of colorectal cancer in a case–control study nested within a large prospective cohort. After a median follow-up of 6.4 years, 1,069 incident colorectal cancer cases were identified and matched to 1,069 controls among participants of the European Prospective Investigation into Cancer and Nutrition (EPIC). The FA composition of RBC phospholipids (in mol%) was analyzed by gas chromatography, and their association with risk of colorectal cancer was estimated by multivariable adjusted conditional logistic regression models. Results: After correction for multiple testing, subjects with higher concentrations of RBC stearic acid were at higher risk for colorectal cancer (OR ¼ 1.23; 95% CI ¼ 1.07–1.42, per 1 mol%). Conversely, colorectal cancer incidence decreased with increasing proportions of RBC n-3 PUFA, particularly eicosapentaenoic acid (0.75; 0.62–0.92, per 1 mol%). The findings for the n-6 PUFA arachidonic acid were inconsistent. Conclusions: The positive association between prediagnostic RBC stearic acid and colorectal cancer reflects putative differences in FA intake and metabolism between cancer cases and matched controls, which deserve further investigation. The inverse relationship between EPA and colorectal cancer is in line with the repeatedly reported protective effect of fish consumption on colorectal cancer risk. Impact: These findings add to the evidence on colorectal cancer prevention.
Published: 2021

28. Milk intake and incident stroke and CHD in populations of European descent: a Mendelian randomisation study.

Author: Vissers, L. E. T., Sluijs, I., Burgess, S., Forouhi, N. G., Freisling, H., Imamura, F., Nilsson, T. K., Renström, F., Weiderpass, E., Aleksandrova, K., Dahm, C. C., Perez-Cornago, A., Schulze, M. B., Tong, T. Y. N., Aune, D., Bonet, C., Boer, J. M. A., Boeing, H., Chirlaque, M. D., and Conchi, M. I.
Subjects: CORONARY heart disease risk factors, STROKE risk factors, CARDIOVASCULAR diseases risk factors, RELATIVE medical risk, GENETICS, CONFIDENCE intervals, MILK, ALLELES, DAIRY products, RISK assessment, DESCRIPTIVE statistics, ODDS ratio, DATA analysis software, PROPORTIONAL hazards models
Abstract: Higher milk intake has been associated with a lower stroke risk, but not with risk of CHD. Residual confounding or reverse causation cannot be excluded. Therefore, we estimated the causal association of milk consumption with stroke and CHD risk through instrumental variable (IV) and gene-outcome analyses. IV analysis included 29 328 participants (4611 stroke; 9828 CHD) of the European Prospective Investigation into Cancer and Nutrition (EPIC)-CVD (eight European countries) and European Prospective Investigation into Cancer and Nutrition-Netherlands (EPIC-NL) case-cohort studies. rs4988235, a lactase persistence (LP) SNP which enables digestion of lactose in adulthood was used as genetic instrument. Intake of milk was first regressed on rs4988235 in a linear regression model. Next, associations of genetically predicted milk consumption with stroke and CHD were estimated using Prentice-weighted Cox regression. Gene-outcome analysis included 777 024 participants (50 804 cases) from MEGASTROKE (including EPIC-CVD), UK Biobank and EPIC-NL for stroke, and 483 966 participants (61 612 cases) from CARDIoGRAM, UK Biobank, EPIC-CVD and EPIC-NL for CHD. In IV analyses, each additional LP allele was associated with a higher intake of milk in EPIC-CVD (β = 13·7 g/d; 95 % CI 8·4, 19·1) and EPIC-NL (36·8 g/d; 95 % CI 20·0, 53·5). Genetically predicted milk intake was not associated with stroke (HR per 25 g/d 1·05; 95 % CI 0·94, 1·16) or CHD (1·02; 95 % CI 0·96, 1·08). In gene-outcome analyses, there was no association of rs4988235 with risk of stroke (OR 1·02; 95 % CI 0·99, 1·05) or CHD (OR 0·99; 95 % CI 0·95, 1·03). Current Mendelian randomisation analysis does not provide evidence for a causal inverse relationship between milk consumption and stroke or CHD risk. [ABSTRACT FROM AUTHOR]
Published: 2022
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29. Alcohol dehydrogenase and aldehyde dehydrogenase gene polymorphisms, alcohol intake and the risk of colorectal cancer in the European Prospective Investigation into Cancer and Nutrition study

Author: Ferrari, P, McKay, J D, Jenab, M, Brennan, P, Canzian, F, Vogel, U, Tjønneland, A, Overvad, K, Tolstrup, J S, Boutron-Ruault, M-C, Clavel-Chapelon, F, Morois, S, Kaaks, R, Boeing, H, Bergmann, M, Trichopoulou, A, Katsoulis, M, Trichopoulos, D, Krogh, V, Panico, S, Sacerdote, C, Palli, D, Tumino, R, Peeters, P H, van Gils, C H, Bueno-de-Mesquita, B, Vrieling, A, Lund, E, Hjartåker, A, Agudo, A, Suarez, L R, Arriola, L, Chirlaque, M-D, Ardanaz, E, Sánchez, M-J, Manjer, J, Lindkvist, B, Hallmans, G, Palmqvist, R, Allen, N, Key, T, Khaw, K-T, Slimani, N, Rinaldi, S, Romieu, I, Boffetta, P, Romaguera, D, Norat, T, and Riboli, E
Published: 2012
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30. Heterogeneous contributions of change in population distribution of body mass index to change in obesity and underweight

Author: Iurilli, M.L.C. Zhou, B. Bennett, J.E. Carrillo-Larco, R.M. Sophiea, M.K. Rodriguez-Martinez, A. Bixby, H. Solomon, B.D. Taddei, C. Danaei, G. Di Cesare, M. Stevens, G.A. Riley, L.M. Savin, S. Cowan, M.J. Bovet, P. Damasceno, A. Chirita-Emandi, A. Hayes, A.J. Ikeda, N. Jackson, R.T. Khang, Y.-H. Laxmaiah, A. Liu, J. Miranda, J.J. Saidi, O. Sebert, S. Sorić, M. Starc, G. Gregg, E.W. Abarca-Gómez, L. Abdeen, Z.A. Abdrakhmanova, S. Ghaffar, S.A. Rahim, H.F.A. Abu-Rmeileh, N.M. Garba, J.A. Acosta-Cazares, B. Adams, R.J. Aekplakorn, W. Afsana, K. Afzal, S. Agdeppa, I.A. Aghazadeh-Attari, J. Aguilar-Salinas, C.A. Agyemang, C. Ahmad, M.H. Ahmad, N.A. Ahmadi, A. Ahmadi, N. Ahmed, S.H. Ahrens, W. Aitmurzaeva, G. Ajlouni, K. Al-Hazzaa, H.M. Al-Lahou, B. Al-Raddadi, R. Alarouj, M. AlBuhairan, F. AlDhukair, S. Ali, M.M. Alkandari, A. Alkerwi, A. Allin, K. Alvarez-Pedrerol, M. Aly, E. Amarapurkar, D.N. Amiri, P. Amougou, N. Amouyel, P. Andersen, L.B. Anderssen, S.A. Ängquist, L. Anjana, R.M. Ansari-Moghaddam, A. Aounallah-Skhiri, H. Araújo, J. Ariansen, I. Aris, T. Arku, R.E. Arlappa, N. Aryal, K.K. Aspelund, T. Assah, F.K. Assunção, M.C.F. Aung, M.S. Auvinen, J. Mária Avdicová Avi, S. Azevedo, A. Azimi-Nezhad, M. Azizi, F. Azmin, M. Babu, B.V. Bæksgaard Jørgensen, M. Baharudin, A. Bahijri, S. Baker, J.L. Balakrishna, N. Bamoshmoosh, M. Banach, M. Bandosz, P. Banegas, J.R. Baran, J. Barbagallo, C.M. Barceló, A. Barkat, A. Barros, A.J.D. Barros, M.V.G. Basit, A. Bastos, J.L.D. Bata, I. Batieha, A.M. Batista, R.L. Battakova, Z. Batyrbek, A. Baur, L.A. Beaglehole, R. Bel-Serrat, S. Belavendra, A. Romdhane, H.B. Benedics, J. Benet, M. Bergh, I.H. Berkinbayev, S. Bernabe-Ortiz, A. Bernotiene, G. Bettiol, H. Bezerra, J. Bhagyalaxmi, A. Bharadwaj, S. Bhargava, S.K. Bhutta, Z.A. Bi, H. Bi, Y. Bia, D. Lele, E.C.B. Bikbov, M.M. Bista, B. Bjelica, D.J. Bjerregaard, P. Bjertness, E. Bjertness, M.B. Björkelund, C. Bloch, K.V. Blokstra, A. Bo, S. Bobak, M. Boddy, L.M. Boehm, B.O. Boeing, H. Boggia, J.G. Bogova, E. Boissonnet, C.P. Bojesen, S.E. Bonaccio, M. Bongard, V. Bonilla-Vargas, A. Bopp, M. Borghs, H. Braeckevelt, L. Braeckman, L. Bragt, M.C.E. Brajkovich, I. Branca, F. Breckenkamp, J. Breda, J. Brenner, H. Brewster, L.M. Brian, G.R. Brinduse, L. Brophy, S. Bruno, G. Bueno-de-Mesquita, H.B. Bugge, A. Buoncristiano, M. Burazeri, G. Burns, C. de León, A.C. Cacciottolo, J. Cai, H. Cama, T. Cameron, C. Camolas, J. Can, G. Candido, A.P.C. Cañete, F. Capanzana, M.V. Capková, N. Capuano, E. Capuano, V. Cardol, M. Cardoso, V.C. Carlsson, A.C. Carmuega, E. Carvalho, J. Casajús, J.A. Casanueva, F.F. Celikcan, E. Censi, L. Cervantes-Loaiza, M. Cesar, J.A. Chamukuttan, S. Chan, A.W. Chan, Q. Chaturvedi, H.K. Chaturvedi, N. Rahim, N.C.A. Chee, M.L. Chen, C.-J. Chen, F. Chen, H. Chen, S. Chen, Z. Cheng, C.-Y. Cheraghian, B. Chetrit, A. Chikova-Iscener, E. Chiolero, A. Chiou, S.-T. Chirlaque, M.-D. Cho, B. Christensen, K. Christofaro, D.G. Chudek, J. Cifkova, R. Cilia, M. Cinteza, E. Claessens, F. Clarke, J. Clays, E. Cohen, E. Concin, H. Confortin, S.C. Cooper, C. Coppinger, T.C. Corpeleijn, E. Costanzo, S. Cottel, D. Cowell, C. Craig, C.L. Crampin, A.C. Crujeiras, A.B. Csilla, S. Cucu, A.M. Cui, L. Cureau, F.V. Czenczek-Lewandowska, E. D’Arrigo, G. d’Orsi, E. Dacica, L. Dal Re Saavedra, M.A. Dallongeville, J. Damsgaard, C.T. Dankner, R. Dantoft, T.M. Dasgupta, P. Dastgiri, S. Dauchet, L. Davletov, K. De Backer, G. De Bacquer, D. de Gaetano, G. De Henauw, S. de Oliveira, P.D. De Ridder, D. De Ridder, K. de Rooij, S.R. De Smedt, D. Deepa, M. Deev, A.D. DeGennaro, V., Jr Dehghan, A. Delisle, H. Delpeuch, F. Demarest, S. Dennison, E. Dereń, K. Deschamps, V. Dhimal, M. Di Castelnuovo, A.F. Dias-da-Costa, J.S. Díaz-Sánchez, M.E. Diaz, A. Dika, Z. Djalalinia, S. Djordjic, V. Do, H.T.P. Dobson, A.J. Donati, M.B. Donfrancesco, C. Donoso, S.P. Döring, A. Dorobantu, M. Dorosty, A.R. Doua, K. Dragano, N. Drygas, W. Duan, J.L. Duante, C.A. Duboz, P. Duda, R.B. Duleva, V. Dulskiene, V. Dumith, S.C. Dushpanova, A. Dzerve, V. Dziankowska-Zaborszczyk, E. Eddie, R. Eftekhar, E. Egbagbe, E.E. Eggertsen, R. Eghtesad, S. Eiben, G. Ekelund, U. El-Khateeb, M. Ati, J.E. Eldemire-Shearer, D. Eliasen, M. Elliott, P. Engle-Stone, R. Enguerran, M. Erasmus, R.T. Erbel, R. Erem, C. Eriksen, L. Eriksson, J.G. Escobedo-de la Peña, J. Eslami, S. Esmaeili, A. Evans, A. Faeh, D. Fakhretdinova, A.A. Fall, C.H. Faramarzi, E. Farjam, M. Sant’Angelo, V.F. Farzadfar, F. Fattahi, M.R. Fawwad, A. Felix-Redondo, F.J. Ferguson, T.S. Fernandes, R.A. Fernández-Bergés, D. Ferrante, D. Ferrao, T. Ferrari, M. Ferrario, M.M. Ferreccio, C. Ferrer, E. Ferrieres, J. Figueiró, T.H. Fijalkowska, A. Fink, G. Fischer, K. Foo, L.H. Forsner, M. Fouad, H.M. Francis, D.K. Maria do Carmo Franco Frikke-Schmidt, R. Frontera, G. Fuchs, F.D. Fuchs, S.C. Fujiati, I.I. Fujita, Y. Fumihiko, M. Furusawa, T. Gaciong, Z. Gafencu, M. Galbarczyk, A. Galenkamp, H. Galeone, D. Galfo, M. Galvano, F. Gao, J. Garcia-de-la-Hera, M. García-Solano, M. Gareta, D. Garnett, S.P. Gaspoz, J.-M. Gasull, M. Gaya, A.C.A. Gaya, A.R. Gazzinelli, A. Gehring, U. Geiger, H. Geleijnse, J.M. Ghanbari, A. Ghasemi, E. Gheorghe-Fronea, O.-F. Giampaoli, S. Gianfagna, F. Gill, T.K. Giovannelli, J. Gironella, G. Giwercman, A. Gkiouras, K. Godos, J. Gogen, S. Goldberg, M. Goldsmith, R.A. Goltzman, D. Gómez, S.F. Gomula, A. da Silva, B.G.C. Gonçalves, H. Gonzalez-Chica, D.A. Gonzalez-Gross, M. González-Leon, M. González-Rivas, J.P. González-Villalpando, C. González-Villalpando, M.-E. Gonzalez, A.R. Gottrand, F. Graça, A.P. Graff-Iversen, S. Grafnetter, D. Grajda, A. Grammatikopoulou, M.G. Gregor, R.D. Grodzicki, T. Grøholt, E.K. Grøntved, A. Grosso, G. Gruden, G. Gu, D. Gualdi-Russo, E. Guallar-Castillón, P. Gualtieri, A. Gudmundsson, E.F. Gudnason, V. Guerrero, R. Guessous, I. Guimaraes, A.L. Gulliford, M.C. Gunnlaugsdottir, J. Gunter, M.J. Guo, X.-H. Guo, Y. Gupta, P.C. Gupta, R. Gureje, O. Gurzkowska, B. Gutiérrez-González, E. Gutierrez, L. Gutzwiller, F. Ha, S. Hadaegh, F. Hadjigeorgiou, C.A. Haghshenas, R. Hakimi, H. Halkjær, J. Hambleton, I.R. Hamzeh, B. Hange, D. Hanif, A.A.M. Hantunen, S. Hao, J. Kumar, R.H. Hashemi-Shahri, S.M. Hassapidou, M. Hata, J. Haugsgjerd, T. He, J. He, Y. He, Y. Heidinger-Felso, R. Heinen, M. Hejgaard, T. Hendriks, M.E. dos Santos Henrique, R. Henriques, A. Cadena, L.H. Herrala, S. Herrera, V.M. Herter-Aeberli, I. Heshmat, R. Hill, A.G. Ho, S.Y. Ho, S.C. Hobbs, M. Holdsworth, M. Homayounfar, R. Homs, C. Hopman, W.M. Horimoto, A.R.V.R. Hormiga, C.M. Horta, B.L. Houti, L. Howitt, C. Htay, T.T. Htet, A.S. Htike, M.M.T. Hu, Y. Huerta, J.M. Huhtaniemi, I.T. Huiart, L. Petrescu, C.H. Huisman, M. Husseini, A. Huu, C.N. Huybrechts, I. Hwalla, N. Hyska, J. Iacoviello, L. Ibarluzea, J.M. Ibrahim, M.M. Wong, N.I. Ikram, M.A. Iotova, V. Irazola, V.E. Ishida, T. Islam, M. Islam, S.M.S. Iwasaki, M. Jacobs, J.M. Jaddou, H.Y. Jafar, T. James, K. Jamil, K.M. Jamrozik, K. Janszky, I. Janus, E. Jarani, J. Jarvelin, M.-R. Jasienska, G. Jelakovic, A. Jelakovic, B. Jennings, G. Jha, A.K. Jiang, C.Q. Jimenez, R.O. Jöckel, K.-H. Joffres, M. Johansson, M. Jokelainen, J.J. Jonas, J.B. Jonnagaddala, J. Jørgensen, T. Joshi, P. Joukar, F. Jovic, D.P. Jóźwiak, J.J. Juolevi, A. Jurak, G. Simina, I.J. Juresa, V. Kaaks, R. Kaducu, F.O. Kafatos, A. Kajantie, E.O. Kalmatayeva, Z. Kalter-Leibovici, O. Kameli, Y. Kampmann, F.B. Kanala, K.R. Kannan, S. Kapantais, E. Karakosta, A. Kårhus, L.L. Karki, K.B. Katibeh, M. Katz, J. Katzmarzyk, P.T. Kauhanen, J. Kaur, P. Kavousi, M. Kazakbaeva, G.M. Keil, U. Boker, L.K. Keinänen-Kiukaanniemi, S. Kelishadi, R. Kelleher, C. Kemper, H.C.G. Kengne, A.P. Keramati, M. Kerimkulova, A. Kersting, M. Key, T. Khader, Y.S. Khalili, D. Khaw, K.-T. Kheiri, B. Kheradmand, M. Khosravi, A. Khouw, I.M.S.L. Kiechl-Kohlendorfer, U. Kiechl, S. Killewo, J. Kim, D.W. Kim, H.C. Kim, J. Kindblom, J.M. Klakk, H. 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Musa, K.I. Milanovic, S.M. Musil, V. Mustafa, N. Nabipour, I. Naderimagham, S. Nagel, G. Naidu, B.M. Najafi, F. Nakamura, H. Námešná, J. Nang, E.E.K. Nangia, V.B. Nankap, M. Narake, S. Nardone, P. Nauck, M. Neal, W.A. Nejatizadeh, A. Nekkantti, C. Nelis, K. Nelis, L. Nenko, I. Neovius, M. Nervi, F. Nguyen, C.T. Nguyen, N.D. Nguyen, Q.N. Nieto-Martínez, R.E. Nikitin, Y.P. Ning, G. Ninomiya, T. Nishtar, S. Noale, M. Noboa, O.A. Nogueira, H. Norat, T. Nordendahl, M. Nordestgaard, B.G. Noto, D. Nowak-Szczepanska, N. Al Nsour, M. Nuhoglu, I. Nurk, E. O’Neill, T.W. O’Reilly, D. Obreja, G. Ochimana, C. Ochoa-Avilés, A.M. Oda, E. Oh, K. Ohara, K. Ohlsson, C. Ohtsuka, R. Olafsson, O. Olinto, M.T.A. Oliveira, I.O. Omar, M.A. Onat, A. Ong, S.K. Ono, L.M. Ordunez, P. Ornelas, R. Ortiz, A.P. Ortiz, P.J. Osler, M. Osmond, C. Ostojic, S.M. Ostovar, A. Otero, J.A. Overvad, K. Owusu-Dabo, E. Paccaud, F.M. Padez, C. Pagkalos, I. Pahomova, E. de Paiva, K.M. Pajak, A. Palli, D. Palloni, A. Palmieri, L. Pan, W.-H. Panda-Jonas, S. Pandey, A. Panza, F. Papandreou, D. Park, S.-W. Park, S. Parnell, W.R. Parsaeian, M. Pascanu, I.M. Pasquet, P. Patel, N.D. Pecin, I. Pednekar, M.S. Peer, N. Pei, G. Peixoto, S.V. Peltonen, M. Pereira, A.C. Peres, M.A. Pérez-Farinós, N. Pérez, C.M. Peterkova, V. Peters, A. Petersmann, A. Petkeviciene, J. Petrauskiene, A. Pettenuzzo, E. Peykari, N. Pham, S.T. Pichardo, R.N. Pierannunzio, D. Pigeot, I. Pikhart, H. Pilav, A. Pilotto, L. Pistelli, F. Pitakaka, F. Piwonska, A. Pizarro, A.N. Plans-Rubió, P. Poh, B.K. Pohlabeln, H. Pop, R.M. Popovic, S.R. Porta, M. Posch, G. Poudyal, A. Poulimeneas, D. Pouraram, H. Pourfarzi, F. Pourshams, A. Poustchi, H. Pradeepa, R. Price, A.J. Price, J.F. Providencia, R. Puder, J.J. Pudule, I. Puhakka, S.E. Puiu, M. Punab, M. Qasrawi, R.F. Qorbani, M. Bao, T.Q. Radic, I. Radisauskas, R. Rahimikazerooni, S. Rahman, M. Rahman, M. Raitakari, O. Raj, M. Rakhimova, E. Rakhmatulloev, S. Rakovac, I. Rao, S.R. Ramachandran, A. Ramke, J. Ramos, E. Ramos, R. Rampal, L. Rampal, S. Rarra, V. Rascon-Pacheco, R.A. Rasmussen, M. Rech, C.R. Redon, J. Reganit, P.F.M. Regecová, V. Revilla, L. Rezaianzadeh, A. Ribas-Barba, L. Ribeiro, R. Riboli, E. Richter, A. Rigo, F. Rinaldo, N. de Wit, T.F.R. Rito, A. Ritti-Dias, R.M. Rivera, J.A. Robitaille, C. Roccaldo, R. Rodrigues, D. Rodríguez-Artalejo, F. del Cristo Rodriguez-Perez, M. Rodríguez-Villamizar, L.A. Roggenbuck, U. Rojas-Martinez, R. Rojroongwasinkul, N. Romaguera, D. Romeo, E.L. Rosario, R.V. Rosengren, A. Rouse, I. Roy, J.G.R. Rubinstein, A. Rühli, F.J. Ruidavets, J.-B. Ruiz-Betancourt, B.S. Ruiz-Castell, M. Moreno, E.R. Rusakova, I.A. Jonsson, K.R. Russo, P. Rust, P. Rutkowski, M. Sabanayagam, C. Sacchini, E. Sachdev, H.S. Sadjadi, A. Safarpour, A.R. Safiri, S. Saki, N. Salanave, B. Martinez, E.S. Salmerón, D. Salomaa, V. Salonen, J.T. Salvetti, M. Samoutian, M. Sánchez-Abanto, J. Sans, S. Marina, L.S. Santos, D.A. Santos, I.S. Santos, L.C. Santos, M.P. Santos, O. Santos, R. Sanz, S.S. Saramies, J.L. Sardinha, L.B. Sarrafzadegan, N. Sathish, T. Saum, K.-U. Savva, S. Savy, M. Sawada, N. Sbaraini, M. Scazufca, M. Schaan, B.D. Rosario, A.S. Schargrodsky, H. Schienkiewitz, A. Schipf, S. Schmidt, C.O. Schmidt, I.M. Schnohr, P. Schöttker, B. Schramm, S. Schramm, S. Schröder, H. Schultsz, C. Schutte, A.E. Sein, A.A. Selamat, R. Sember, V. Sen, A. Senbanjo, I.O. Sepanlou, S.G. Sequera, V. Serra-Majem, L. Servais, J. Ševcíková, L. Shalnova, S.A. Shamah-Levy, T. Shamshirgaran, M. Shanthirani, C.S. Sharafkhah, M. Sharma, S.K. Shaw, J.E. Shayanrad, A. Shayesteh, A.A. Shengelia, L. Shi, Z. Shibuya, K. Shimizu-Furusawa, H. Shin, D.W. Shirani, M. Shiri, R. Shrestha, N. Si-Ramlee, K. Siani, A. Siantar, R. Sibai, A.M. Silva, A.M. Silva, D.A.S. Simon, M. Simons, J. Simons, L.A. Sjöberg, A. Sjöström, M. Skodje, G. Slowikowska-Hilczer, J. Slusarczyk, P. Smeeth, L. So, H.-K. Soares, F.C. Sobek, G. Sobngwi, E. Sodemann, M. Söderberg, S. Soekatri, M.Y.E. Soemantri, A. Sofat, R. Solfrizzi, V. Somi, M.H. Sonestedt, E. Song, Y. Sørensen, T.I.A. Sørgjerd, E.P. Jérome, C.S. Soto-Rojas, V.E. Soumaré, A. Sovic, S. Sparboe-Nilsen, B. Sparrenberger, K. Spinelli, A. Spiroski, I. Staessen, J.A. Stamm, H. Stathopoulou, M.G. Staub, K. Stavreski, B. Steene-Johannessen, J. Stehle, P. Stein, A.D. Stergiou, G.S. Stessman, J. Stevanovic, R. Stieber, J. Stöckl, D. Stocks, T. Stokwiszewski, J. Stoyanova, E. Stratton, G. Stronks, K. Strufaldi, M.W. Sturua, L. Suárez-Medina, S. Suka, M. Sun, C.-A. Sundström, J. Sung, Y.-T. Sunyer, J. Suriyawongpaisal, P. Swinburn, B.A. Sy, R.G. Syddall, H.E. Sylva, R.C. Szklo, M. Szponar, L. Tai, E.S. Tammesoo, M.-L. Tamosiunas, A. Tan, E.J. Tang, X. Tanrygulyyeva, M. Tanser, F. Tao, Y. Tarawneh, M.R. Tarp, J. Tarqui-Mamani, C.B. Braunerová, R.T. Taylor, A. Taylor, J. Tchibindat, F. Tebar, W.R. Tell, G.S. Tello, T. Tham, Y.C. Thankappan, K.R. Theobald, H. Theodoridis, X. Thijs, L. Thomas, N. Thuesen, B.H. Tichá, L. Timmermans, E.J. Tjonneland, A. Tolonen, H.K. Tolstrup, J.S. Topbas, M. Topór-Madry, R. Torheim, L.E. Tormo, M.J. Tornaritis, M.J. Torrent, M. Torres-Collado, L. Toselli, S. Touloumi, G. Traissac, P. Tran, T.T.-H. Trichopoulos, D. Trichopoulou, A. Trinh, D.T.H. Trivedi, A. Tshepo, L. Tsigga, M. Tsugane, S. Tuliakova, A.M. Tulloch-Reid, M.K. Tullu, F. Tuomainen, T.-P. Tuomilehto, J. Turley, M.L. Twig, G. Tynelius, P. Tzotzas, T. Tzourio, C. Ueda, P. Ugel, E. Ukoli, F.A.M. Ulmer, H. Unal, B. Usupova, Z. Uusitalo, H.M.T. Uysal, N. Vaitkeviciute, J. Valdivia, G. Vale, S. Valvi, D. van Dam, R.M. Van der Heyden, J. van der Schouw, Y.T. Van Herck, K. Van Minh, H. Van Schoor, N.M. van Valkengoed, I.G.M. Vanderschueren, D. Vanuzzo, D. Varbo, A. Varela-Moreiras, G. Varona-Pérez, P. Vasan, S.K. Vega, T. Veidebaum, T. Velasquez-Melendez, G. Velika, B. Veronesi, G. Verschuren, W.M.M. Victora, C.G. Viegi, G. Viet, L. Villalpando, S. Vineis, P. Vioque, J. Virtanen, J.K. Visser, M. Visvikis-Siest, S. Viswanathan, B. Vladulescu, M. Vlasoff, T. Vocanec, D. Vollenweider, P. Völzke, H. Voutilainen, A. Voutilainen, S. Vrijheid, M. Vrijkotte, T.G.M. Wade, A.N. Wagner, A. Waldhör, T. Walton, J. Wambiya, E.O.A. Bebakar, A.M.W. Mohamud, W.N.W. de Souza Wanderley Júnior, R. Wang, M.-D. Wang, N. Wang, Q. Wang, X. Wang, Y.X. Wang, Y.-W. Wannamethee, S.G. Wareham, N. Weber, A. Wedderkopp, N. Weerasekera, D. Weghuber, D. Wei, W. Weres, A. Werner, B. Whincup, P.H. Widhalm, K. Widyahening, I.S. Wiecek, A. Wilks, R.J. Willeit, J. Willeit, P. Williams, J. Wilsgaard, T. Wojtyniak, B. Wong-McClure, R.A. Wong, A. Wong, J.E. Wong, T.Y. Woo, J. Woodward, M. Wu, F.C. Wu, J. Wu, L.J. Wu, S. Xu, H. Xu, L. Yaacob, N.A. Yamborisut, U. Yan, W. Yang, L. Yang, X. Yang, Y. Yardim, N. Yaseri, M. Yasuharu, T. Ye, X. Yiallouros, P.K. Yoosefi, M. Yoshihara, A. You, Q.S. You, S.-L. Younger-Coleman, N.O. Yusof, S.M. Yusoff, A.F. Zaccagni, L. Zafiropulos, V. Zainuddin, A.A. Zakavi, S.R. Zamani, F. Zambon, S. Zampelas, A. Zamrazilová, H. Zapata, M.E. Zargar, A.H. Zaw, K.K. Zdrojewski, T. Zejglicova, K. Vrkic, T.Z. Zeng, Y. Zhang, L. Zhang, Z.-Y. Zhao, D. Zhao, M.-H. Zhao, W. Zhen, S. Zheng, W. Zheng, Y. Zholdin, B. Zhou, M. Zhu, D. Zins, M. Zitt, E. Zocalo, Y. Cisneros, J.Z. Zuziak, M. Ezzati, M. Filippi, S. NCD Risk Factor Collaboration (NCD-RisC)
Subjects: nutritional and metabolic diseases, sense organs, skin and connective tissue diseases
Abstract: From 1985 to 2016, the prevalence of underweight decreased, and that of obesity and severe obesity increased, in most regions, with significant variation in the magnitude of these changes across regions. We investigated how much change in mean body mass index (BMI) explains changes in the prevalence of underweight, obesity, and severe obesity in different regions using data from 2896 population-based studies with 187 million participants. Changes in the prevalence of underweight and total obesity, and to a lesser extent severe obesity, are largely driven by shifts in the distribution of BMI, with smaller contributions from changes in the shape of the distribution. In East and Southeast Asia and sub-Saharan Africa, the underweight tail of the BMI distribution was left behind as the distribution shifted. There is a need for policies that address all forms of malnutrition by making healthy foods accessible and affordable, while restricting unhealthy foods through fiscal and regulatory restrictions. © Copyright.
Published: 2021

31. Blood polyphenol concentrations and differentiated thyroid carcinoma in women from the European Prospective Investigation into Cancer and Nutrition (EPIC) study

Author: Zamora-Ros, R., Lujan-Barroso, L., Achaintre, D., Franceschi, S., Kyrø, C., Overvad, K., Tjønneland, A., Truong, T., Lecuyer, L., Boutron-Ruault, M.-C., Katzke, V., Johnson, T.S., Schulze, M.B., Trichopoulou, A., Peppa, E., La Vechia, C., Masala, G., Pala, V., Panico, S., Tumino, R., Ricceri, F., Skeie, G., Ramón Quirós, J., Rodriguez-Barranco, M., Amiano, P., Chirlaque, M.-D., Ardanaz, E., Almquist, M., Hennings, J., Vermeulen, R., Wareham, N.J., Tong, T.Y.N., Aune, D., Byrnes, G., Weiderpass, E., Scalbert, A., Rinaldi, S., Agudo, A., Zamora-Ros, R., Lujan-Barroso, L., Achaintre, D., Franceschi, S., Kyrø, C., Overvad, K., Tjønneland, A., Truong, T., Lecuyer, L., Boutron-Ruault, M.-C., Katzke, V., Johnson, T.S., Schulze, M.B., Trichopoulou, A., Peppa, E., La Vechia, C., Masala, G., Pala, V., Panico, S., Tumino, R., Ricceri, F., Skeie, G., Ramón Quirós, J., Rodriguez-Barranco, M., Amiano, P., Chirlaque, M.-D., Ardanaz, E., Almquist, M., Hennings, J., Vermeulen, R., Wareham, N.J., Tong, T.Y.N., Aune, D., Byrnes, G., Weiderpass, E., Scalbert, A., Rinaldi, S., and Agudo, A.
Abstract: Background: Polyphenols are natural compounds with anticarcinogenic properties in cellular and animal models, but epidemiological evidence determining the associations of these compounds with thyroid cancer (TC) is lacking. Objectives: The aim of this study was to evaluate the relations between blood concentrations of 36 polyphenols and TC risk in EPIC (the European Prospective Investigation into Cancer and Nutrition). Methods: A nested case–control study was conducted on 273 female cases (210 papillary, 45 follicular, and 18 not otherwise specified TC tumors) and 512 strictly matched controls. Blood polyphenol concentrations were analyzed by HPLC coupled to tandem MS after enzymatic hydrolysis. Results: Using multivariable-adjusted conditional logistic regression models, caffeic acid (ORlog2: 0.55; 95% CI: 0.33, 0.93) and its dehydrogenated metabolite, 3,4-dihydroxyphenylpropionic acid (ORlog2: 0.84; 95% CI: 0.71, 0.99), were inversely associated with differentiated TC risk. Similar results were observed for papillary TC, but not for follicular TC. Ferulic acid was also inversely associated only with papillary TC (ORlog2: 0.68; 95% CI: 0.51, 0.91). However, none of these relations was significant after Bonferroni correction for multiple testing. No association was observed for any of the remaining polyphenols with total differentiated, papillary, or follicular TC. Conclusions: Blood polyphenol concentrations were mostly not associated with differentiated TC risk in women, although our study raises the possibility that high blood concentrations of caffeic, 3,4-dihydroxyphenylpropionic, and ferulic acids may be related to a lower papillary TC risk.
Published: 2021

32. Blood polyphenol concentrations and differentiated thyroid carcinoma in women from the European Prospective Investigation into Cancer and Nutrition (EPIC) study

Author: IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Zamora-Ros, R., Lujan-Barroso, L., Achaintre, D., Franceschi, S., Kyrø, C., Overvad, K., Tjønneland, A., Truong, T., Lecuyer, L., Boutron-Ruault, M.-C., Katzke, V., Johnson, T.S., Schulze, M.B., Trichopoulou, A., Peppa, E., La Vechia, C., Masala, G., Pala, V., Panico, S., Tumino, R., Ricceri, F., Skeie, G., Ramón Quirós, J., Rodriguez-Barranco, M., Amiano, P., Chirlaque, M.-D., Ardanaz, E., Almquist, M., Hennings, J., Vermeulen, R., Wareham, N.J., Tong, T.Y.N., Aune, D., Byrnes, G., Weiderpass, E., Scalbert, A., Rinaldi, S., Agudo, A., IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Zamora-Ros, R., Lujan-Barroso, L., Achaintre, D., Franceschi, S., Kyrø, C., Overvad, K., Tjønneland, A., Truong, T., Lecuyer, L., Boutron-Ruault, M.-C., Katzke, V., Johnson, T.S., Schulze, M.B., Trichopoulou, A., Peppa, E., La Vechia, C., Masala, G., Pala, V., Panico, S., Tumino, R., Ricceri, F., Skeie, G., Ramón Quirós, J., Rodriguez-Barranco, M., Amiano, P., Chirlaque, M.-D., Ardanaz, E., Almquist, M., Hennings, J., Vermeulen, R., Wareham, N.J., Tong, T.Y.N., Aune, D., Byrnes, G., Weiderpass, E., Scalbert, A., Rinaldi, S., and Agudo, A.
Published: 2021

33. Red blood cell fatty acids and risk of colorectal cancer in the European Prospective investigation into cancer and nutrition (EPIC)

Author: IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Linseisen, J., Grundmann, N., Zoller, D., Kuhn, T., Chajes, V., Fedirko, V., Weiderpass, E., Dahm, C.C., Overvad, K., Tjønneland, A., Boutron-Ruault, M.-C., Rothwell, J.A., Severi, G., Kaaks, R., Schulze, M.B., Aleksandrova, K., Sieri, S., Panico, S., Tumino, R., Masala, G., de Marco, L., Bueno-De-Mesquita, B., Vermeulen, R., Gram, I.T., Skeie, G., Chirlaque, M.-D., Ardanaz, E., Agudo, A., Sánchez, M.-J., Amiano, P., Wennberg, M., Bodén, S., Perez-Cornago, A., Aglago, E.K., Gunter, M.J., Jenab, M., Heath, A.K., Nieters, A., IRAS OH Epidemiology Chemical Agents, dIRAS RA-2, Linseisen, J., Grundmann, N., Zoller, D., Kuhn, T., Chajes, V., Fedirko, V., Weiderpass, E., Dahm, C.C., Overvad, K., Tjønneland, A., Boutron-Ruault, M.-C., Rothwell, J.A., Severi, G., Kaaks, R., Schulze, M.B., Aleksandrova, K., Sieri, S., Panico, S., Tumino, R., Masala, G., de Marco, L., Bueno-De-Mesquita, B., Vermeulen, R., Gram, I.T., Skeie, G., Chirlaque, M.-D., Ardanaz, E., Agudo, A., Sánchez, M.-J., Amiano, P., Wennberg, M., Bodén, S., Perez-Cornago, A., Aglago, E.K., Gunter, M.J., Jenab, M., Heath, A.K., and Nieters, A.
Published: 2021

34. Worldwide trends in hypertension prevalence and progress in treatment and control from 1990 to 2019: a pooled analysis of 1201 population-representative studies with 104 million participants

Author: Zhou, B, Carrillo-Larco, RM, Danaei, G, Riley, LM, Paciorek, CJ, Stevens, GA, Gregg, EW, Bennett, JE, Solomon, B, Singleton, RK, Sophiea, MK, Iurilli, MLC, Lhoste, VPF, Cowan, MJ, Savin, S, Woodward, M, Balanova, Y, Cifkova, R, Damasceno, A, Elliott, P, Farzadfar, F, He, J, Ikeda, N, Kengne, AP, Khang, Y-H, Kim, HC, Laxmaiah, A, Lin, H-H, Margozzini Maira, P, Miranda, JJ, Neuhauser, H, Sundström, J, Varghese, C, Widyahening, IS, Zdrojewski, T, Abarca-Gómez, L, Abdeen, ZA, Abdul Rahim, HF, Abu-Rmeileh, NM, Acosta-Cazares, B, Adams, RJ, Aekplakorn, W, Afsana, K, Afzal, S, Agdeppa, IA, Aghazadeh-Attari, J, Aguilar-Salinas, CA, Agyemang, C, Ahmad, NA, Ahmadi, A, Ahmadi, N, Ahmadizar, F, Ahmed, SH, Ahrens, W, Ajlouni, K, Al-Raddadi, R, Alarouj, M, AlBuhairan, F, AlDhukair, S, Ali, MM, Alkandari, A, Alkerwi, A, Allin, K, Aly, E, Amarapurkar, DN, Amougou, N, Amouyel, P, Andersen, LB, Anderssen, SA, Anjana, RM, Ansari-Moghaddam, A, Ansong, D, Aounallah-Skhiri, H, Araújo, J, Ariansen, I, Aris, T, Arku, RE, Arlappa, N, Aryal, KK, Aspelund, T, Assah, FK, Assunção, MCF, Auvinen, J, Avdićová, M, Azevedo, A, Azimi-Nezhad, M, Azizi, F, Azmin, M, Babu, BV, Bahijri, S, Balakrishna, N, Bamoshmoosh, M, Banach, M, Banadinović, M, Bandosz, P, Banegas, JR, Baran, J, Barbagallo, CM, Barceló, A, Barkat, A, Barreto, M, Barros, AJD, Barros, MVG, Bartosiewicz, A, Basit, A, Bastos, JLD, Bata, I, Batieha, AM, Batyrbek, A, Baur, LA, Beaglehole, R, Belavendra, A, Ben Romdhane, H, Benet, M, Benson, LS, Berkinbayev, S, Bernabe-Ortiz, A, Bernotiene, G, Bettiol, H, Bezerra, J, Bhagyalaxmi, A, Bhargava, SK, Bia, D, Biasch, K, Bika Lele, EC, Bikbov, MM, Bista, B, Bjerregaard, P, Bjertness, E, Bjertness, MB, Björkelund, C, Bloch, KV, Blokstra, A, Bo, S, Bobak, M, Boeing, H, Boggia, JG, Boissonnet, CP, Bojesen, SE, Bongard, V, Bonilla-Vargas, A, Bopp, M, Borghs, H, Bovet, P, Boyer, CB, Braeckman, L, Brajkovich, I, Branca, F, Breckenkamp, J, Brenner, H, Brewster, LM, Briceño, Y, Brito, M, Bruno, G, Bueno-de-Mesquita, HB, Bueno, G, Bugge, A, Burns, C, Bursztyn, M, Cabrera de León, A, Cacciottolo, J, Cameron, C, Can, G, Cândido, APC, Capanzana, MV, Čapková, N, Capuano, E, Capuano, V, Cardoso, VC, Carlsson, AC, Carvalho, J, Casanueva, FF, Censi, L, Cervantes-Loaiza, M, Chadjigeorgiou, CA, Chamukuttan, S, Chan, AW, Chan, Q, Chaturvedi, HK, Chaturvedi, N, Chee, ML, Chen, C-J, Chen, F, Chen, H, Chen, S, Chen, Z, Cheng, C-Y, Cheraghian, B, Cherkaoui Dekkaki, I, Chetrit, A, Chien, K-L, Chiolero, A, Chiou, S-T, Chirita-Emandi, A, Chirlaque, M-D, Cho, B, Christensen, K, Christofaro, DG, Chudek, J, Cinteza, E, Claessens, F, Clarke, J, Clays, E, Cohen, E, Concin, H, Cooper, C, Coppinger, TC, Costanzo, S, Cottel, D, Cowell, C, Craig, CL, Crampin, AC, Crujeiras, AB, Cruz, JJ, Csilla, S, Cui, L, Cureau, FV, Cuschieri, S, D'Arrigo, G, d'Orsi, E, Dallongeville, J, Dankner, R, Dantoft, TM, Dauchet, L, Davletov, K, De Backer, G, De Bacquer, D, De Curtis, A, de Gaetano, G, De Henauw, S, de Oliveira, PD, De Ridder, D, De Smedt, D, Deepa, M, Deev, AD, DeGennaro, VJ, Delisle, H, Demarest, S, Dennison, E, Deschamps, V, Dhimal, M, Di Castelnuovo, AF, Dias-da-Costa, JS, Diaz, A, Dickerson, TT, Dika, Z, Djalalinia, S, Do, HTP, Dobson, AJ, Donfrancesco, C, Donoso, SP, Döring, A, Dorobantu, M, Dörr, M, Doua, K, Dragano, N, Drygas, W, Duante, CA, Duboz, P, Duda, RB, Dulskiene, V, Dushpanova, A, Džakula, A, Dzerve, V, Dziankowska-Zaborszczyk, E, Eddie, R, Eftekhar, E, Eggertsen, R, Eghtesad, S, Eiben, G, Ekelund, U, El-Khateeb, M, El Ati, J, Eldemire-Shearer, D, Eliasen, M, Elosua, R, Erasmus, RT, Erbel, R, Erem, C, Eriksen, L, Eriksson, JG, Escobedo-de la Peña, J, Eslami, S, Esmaeili, A, Evans, A, Faeh, D, Fakhretdinova, AA, Fall, CH, Faramarzi, E, Farjam, M, Fattahi, MR, Fawwad, A, Felix-Redondo, FJ, Felix, SB, Ferguson, TS, Fernandes, RA, Fernández-Bergés, D, Ferrante, D, Ferrao, T, Ferrari, M, Ferrario, MM, Ferreccio, C, Ferreira, HS, Ferrer, E, Ferrieres, J, Figueiró, TH, Fink, G, Fischer, K, Foo, LH, Forsner, M, Fouad, HM, Francis, DK, Franco, MDC, Frikke-Schmidt, R, Frontera, G, Fuchs, FD, Fuchs, SC, Fujita, Y, Fumihiko, M, Furdela, V, Furer, A, Furusawa, T, Gaciong, Z, Galbarczyk, A, Galenkamp, H, Galvano, F, Gao, J, Gao, P, Garcia-de-la-Hera, M, Garcia, P, Gareta, D, Garnett, SP, Gaspoz, J-M, Gasull, M, Gazzinelli, A, Gehring, U, Geleijnse, JM, George, R, Ghanbari, A, Ghasemi, E, Gheorghe-Fronea, O-F, Ghimire, A, Gialluisi, A, Giampaoli, S, Gieger, C, Gill, TK, Giovannelli, J, Gironella, G, Giwercman, A, Gkiouras, K, Goldberg, M, Goldsmith, RA, Gomez, LF, Gomula, A, Gonçalves, H, Gonçalves, M, Gonçalves Cordeiro da Silva, B, Gonzalez-Chica, DA, Gonzalez-Gross, M, González-Rivas, JP, González-Villalpando, C, González-Villalpando, M-E, Gonzalez, AR, Gorbea, MB, Gottrand, F, Graff-Iversen, S, Grafnetter, D, Grajda, A, Grammatikopoulou, MG, Gregor, RD, Grodzicki, T, Grosso, G, Gruden, G, Gu, D, Guan, OP, Gudmundsson, EF, Gudnason, V, Guerrero, R, Guessous, I, Guimaraes, AL, Gulliford, MC, Gunnlaugsdottir, J, Gunter, MJ, Gupta, PC, Gupta, R, Gureje, O, Gurzkowska, B, Gutierrez, L, Gutzwiller, F, Ha, S, Hadaegh, F, Haghshenas, R, Hakimi, H, Halkjær, J, Hambleton, IR, Hamzeh, B, Hange, D, Hanif, AAM, Hantunen, S, Hao, J, Hardman, CM, Hari Kumar, R, Hashemi-Shahri, SM, Hata, J, Haugsgjerd, T, Hayes, AJ, He, Y, Heier, M, Hendriks, ME, Henrique, RDS, Henriques, A, Hernandez Cadena, L, Herqutanto, Herrala, S, Heshmat, R, Hill, AG, Ho, SY, Ho, SC, Hobbs, M, Holdsworth, M, Homayounfar, R, Horasan Dinc, G, Horimoto, ARVR, Hormiga, CM, Horta, BL, Houti, L, Howitt, C, Htay, TT, Htet, AS, Htike, MMT, Hu, Y, Huerta, JM, Huhtaniemi, IT, Huiart, L, Huisman, M, Husseini, AS, Huybrechts, I, Hwalla, N, Iacoviello, L, Iannone, AG, Ibrahim, MM, Ibrahim Wong, N, Ikram, MA, Iotova, V, Irazola, VE, Ishida, T, Isiguzo, GC, Islam, M, Islam, SMS, Iwasaki, M, Jackson, RT, Jacobs, JM, Jaddou, HY, Jafar, T, James, K, Jamrozik, K, Janszky, I, Janus, E, Jarvelin, M-R, Jasienska, G, Jelaković, A, Jelaković, B, Jennings, G, Jha, AK, Jiang, CQ, Jimenez, RO, Jöckel, K-H, Joffres, M, Johansson, M, Jokelainen, JJ, Jonas, JB, Jørgensen, T, Joshi, P, Joukar, F, Jóżwiak, J, Juolevi, A, Jurak, G, Jureša, V, Kaaks, R, Kafatos, A, Kajantie, EO, Kalmatayeva, Z, Kalpourtzi, N, Kalter-Leibovici, O, Kampmann, FB, Kannan, S, Karaglani, E, Kårhus, LL, Karki, KB, Katibeh, M, Katz, J, Kauhanen, J, Kaur, P, Kavousi, M, Kazakbaeva, GM, Keil, U, Keinan Boker, L, Keinänen-Kiukaanniemi, S, Kelishadi, R, Kemper, HCG, Keramati, M, Kerimkulova, A, Kersting, M, Key, T, Khader, YS, Khalili, D, Khaw, K-T, Kheiri, B, Kheradmand, M, Khosravi, A, Kiechl-Kohlendorfer, U, Kiechl, S, Killewo, J, Kim, DW, Kim, J, Klakk, H, Klimek, M, Klumbiene, J, Knoflach, M, Kolle, E, Kolsteren, P, Kontto, JP, Korpelainen, R, Korrovits, P, Kos, J, Koskinen, S, Kouda, K, Kowlessur, S, Koziel, S, Kratenova, J, Kriaucioniene, V, Kristensen, PL, Krokstad, S, Kromhout, D, Kruger, HS, Kubinova, R, Kuciene, R, Kujala, UM, Kulaga, Z, Kumar, RK, Kurjata, P, Kusuma, YS, Kutsenko, V, Kuulasmaa, K, Kyobutungi, C, Laatikainen, T, Lachat, C, Laid, Y, Lam, TH, Landrove, O, Lanska, V, Lappas, G, Larijani, B, Latt, TS, Le Coroller, G, Le Nguyen Bao, K, Le, TD, Lee, J, Lehmann, N, Lehtimäki, T, Lemogoum, D, Levitt, NS, Li, Y, Lilly, CL, Lim, W-Y, Lima-Costa, MF, Lin, X, Lin, Y-T, Lind, L, Lingam, V, Linneberg, A, Lissner, L, Litwin, M, Lo, W-C, Loit, H-M, Lopez-Garcia, E, Lopez, T, Lotufo, PA, Lozano, JE, Lukačević Lovrenčić, I, Lukrafka, JL, Luksiene, D, Lundqvist, A, Lundqvist, R, Lunet, N, Lustigová, M, Luszczki, E, Ma, G, Ma, J, Machado-Coelho, GLL, Machado-Rodrigues, AM, Macia, E, Macieira, LM, Madar, AA, Maggi, S, Magliano, DJ, Magriplis, E, Mahasampath, G, Maire, B, Majer, M, Makdisse, M, Malekzadeh, F, Malekzadeh, R, Malhotra, R, Mallikharjuna Rao, K, Malyutina, SK, Maniego, LV, Manios, Y, Mann, JI, Mansour-Ghanaei, F, Manzato, E, Marcil, A, Mårild, SB, Marinović Glavić, M, Marques-Vidal, P, Marques, LP, Marrugat, J, Martorell, R, Mascarenhas, LP, Matasin, M, Mathiesen, EB, Mathur, P, Matijasevich, A, Matlosz, P, Matsha, TE, Mavrogianni, C, Mbanya, JCN, Mc Donald Posso, AJ, McFarlane, SR, McGarvey, ST, McLachlan, S, McLean, RM, McLean, SB, McNulty, BA, Mediene Benchekor, S, Medzioniene, J, Mehdipour, P, Mehlig, K, Mehrparvar, AH, Meirhaeghe, A, Meisinger, C, Mendoza Montano, C, Menezes, AMB, Menon, GR, Mereke, A, Meshram, II, Metspalu, A, Meyer, HE, Mi, J, Michels, N, Mikkel, K, Milkowska, K, Miller, JC, Minderico, CS, Mini, GK, Mirjalili, MR, Mirrakhimov, E, Mišigoj-Duraković, M, Modesti, PA, Moghaddam, SS, Mohajer, B, Mohamed, MK, Mohamed, SF, Mohammad, K, Mohammadi, MR, Mohammadi, Z, Mohammadifard, N, Mohammadpourhodki, R, Mohan, V, Mohanna, S, Mohd Yusoff, MF, Mohebbi, I, Mohebi, F, Moitry, M, Møllehave, LT, Molnár, D, Momenan, A, Mondo, CK, Monterrubio-Flores, E, Monyeki, KDK, Moon, JS, Moosazadeh, M, Moreira, LB, Morejon, A, Moreno, LA, Morgan, K, Moschonis, G, Mossakowska, M, Mostafa, A, Mostafavi, S-A, Mota, J, Motlagh, ME, Motta, J, Moura-dos-Santos, MA, Mridha, MK, Msyamboza, KP, Mu, TT, Muhihi, AJ, Muiesan, ML, Müller-Nurasyid, M, Murphy, N, Mursu, J, Musa, KI, Musić Milanović, S, Musil, V, Mustafa, N, Nabipour, I, Naderimagham, S, Nagel, G, Naidu, BM, Najafi, F, Nakamura, H, Námešná, J, Nang, EEK, Nangia, VB, Narake, S, Ndiaye, NC, Neal, WA, Nejatizadeh, A, Nenko, I, Neovius, M, Nguyen, CT, Nguyen, ND, Nguyen, QV, Nguyen, QN, Nieto-Martínez, RE, Niiranen, TJ, Nikitin, YP, Ninomiya, T, Nishtar, S, Njelekela, MA, Noale, M, Noboa, OA, Noorbala, AA, Norat, T, Nordendahl, M, Nordestgaard, BG, Noto, D, Nowak-Szczepanska, N, Nsour, MA, Nunes, B, O'Neill, TW, O'Reilly, D, Ochimana, C, Oda, E, Odili, AN, Oh, K, Ohara, K, Ohtsuka, R, Olié, V, Olinto, MTA, Oliveira, IO, Omar, MA, Onat, A, Ong, SK, Ono, LM, Ordunez, P, Ornelas, R, Ortiz, PJ, Osmond, C, Ostojic, SM, Ostovar, A, Otero, JA, Overvad, K, Owusu-Dabo, E, Paccaud, FM, Padez, C, Pahomova, E, Paiva, KMD, Pająk, A, Palli, D, Palmieri, L, Pan, W-H, Panda-Jonas, S, Panza, F, Paoli, M, Papandreou, D, Park, S-W, Park, S, Parnell, WR, Parsaeian, M, Pasquet, P, Patel, ND, Pavlyshyn, H, Pećin, I, Pednekar, MS, Pedro, JM, Peer, N, Peixoto, SV, Peltonen, M, Pereira, AC, Peres, KGDA, Peres, MA, Peters, A, Petkeviciene, J, Peykari, N, Pham, ST, Pichardo, RN, Pigeot, I, Pikhart, H, Pilav, A, Pilotto, L, Pitakaka, F, Piwonska, A, Pizarro, AN, Plans-Rubió, P, Polašek, O, Porta, M, Poudyal, A, Pourfarzi, F, Pourshams, A, Poustchi, H, Pradeepa, R, Price, AJ, Price, JF, Providencia, R, Puhakka, SE, Puiu, M, Punab, M, Qasrawi, RF, Qorbani, M, Queiroz, D, Quoc Bao, T, Radić, I, Radisauskas, R, Rahimikazerooni, S, Rahman, M, Raitakari, O, Raj, M, Rakhimova, EM, Ra, Zhou, B, Carrillo-Larco, RM, Danaei, G, Riley, LM, Paciorek, CJ, Stevens, GA, Gregg, EW, Bennett, JE, Solomon, B, Singleton, RK, Sophiea, MK, Iurilli, MLC, Lhoste, VPF, Cowan, MJ, Savin, S, Woodward, M, Balanova, Y, Cifkova, R, Damasceno, A, Elliott, P, Farzadfar, F, He, J, Ikeda, N, Kengne, AP, Khang, Y-H, Kim, HC, Laxmaiah, A, Lin, H-H, Margozzini Maira, P, Miranda, JJ, Neuhauser, H, Sundström, J, Varghese, C, Widyahening, IS, Zdrojewski, T, Abarca-Gómez, L, Abdeen, ZA, Abdul Rahim, HF, Abu-Rmeileh, NM, Acosta-Cazares, B, Adams, RJ, Aekplakorn, W, Afsana, K, Afzal, S, Agdeppa, IA, Aghazadeh-Attari, J, Aguilar-Salinas, CA, Agyemang, C, Ahmad, NA, Ahmadi, A, Ahmadi, N, Ahmadizar, F, Ahmed, SH, Ahrens, W, Ajlouni, K, Al-Raddadi, R, Alarouj, M, AlBuhairan, F, AlDhukair, S, Ali, MM, Alkandari, A, Alkerwi, A, Allin, K, Aly, E, Amarapurkar, DN, Amougou, N, Amouyel, P, Andersen, LB, Anderssen, SA, Anjana, RM, Ansari-Moghaddam, A, Ansong, D, Aounallah-Skhiri, H, Araújo, J, Ariansen, I, Aris, T, Arku, RE, Arlappa, N, Aryal, KK, Aspelund, T, Assah, FK, Assunção, MCF, Auvinen, J, Avdićová, M, Azevedo, A, Azimi-Nezhad, M, Azizi, F, Azmin, M, Babu, BV, Bahijri, S, Balakrishna, N, Bamoshmoosh, M, Banach, M, Banadinović, M, Bandosz, P, Banegas, JR, Baran, J, Barbagallo, CM, Barceló, A, Barkat, A, Barreto, M, Barros, AJD, Barros, MVG, Bartosiewicz, A, Basit, A, Bastos, JLD, Bata, I, Batieha, AM, Batyrbek, A, Baur, LA, Beaglehole, R, Belavendra, A, Ben Romdhane, H, Benet, M, Benson, LS, Berkinbayev, S, Bernabe-Ortiz, A, Bernotiene, G, Bettiol, H, Bezerra, J, Bhagyalaxmi, A, Bhargava, SK, Bia, D, Biasch, K, Bika Lele, EC, Bikbov, MM, Bista, B, Bjerregaard, P, Bjertness, E, Bjertness, MB, Björkelund, C, Bloch, KV, Blokstra, A, Bo, S, Bobak, M, Boeing, H, Boggia, JG, Boissonnet, CP, Bojesen, SE, Bongard, V, Bonilla-Vargas, A, Bopp, M, Borghs, H, Bovet, P, Boyer, CB, Braeckman, L, Brajkovich, I, Branca, F, Breckenkamp, J, Brenner, H, Brewster, LM, Briceño, Y, Brito, M, Bruno, G, Bueno-de-Mesquita, HB, Bueno, G, Bugge, A, Burns, C, Bursztyn, M, Cabrera de León, A, Cacciottolo, J, Cameron, C, Can, G, Cândido, APC, Capanzana, MV, Čapková, N, Capuano, E, Capuano, V, Cardoso, VC, Carlsson, AC, Carvalho, J, Casanueva, FF, Censi, L, Cervantes-Loaiza, M, Chadjigeorgiou, CA, Chamukuttan, S, Chan, AW, Chan, Q, Chaturvedi, HK, Chaturvedi, N, Chee, ML, Chen, C-J, Chen, F, Chen, H, Chen, S, Chen, Z, Cheng, C-Y, Cheraghian, B, Cherkaoui Dekkaki, I, Chetrit, A, Chien, K-L, Chiolero, A, Chiou, S-T, Chirita-Emandi, A, Chirlaque, M-D, Cho, B, Christensen, K, Christofaro, DG, Chudek, J, Cinteza, E, Claessens, F, Clarke, J, Clays, E, Cohen, E, Concin, H, Cooper, C, Coppinger, TC, Costanzo, S, Cottel, D, Cowell, C, Craig, CL, Crampin, AC, Crujeiras, AB, Cruz, JJ, Csilla, S, Cui, L, Cureau, FV, Cuschieri, S, D'Arrigo, G, d'Orsi, E, Dallongeville, J, Dankner, R, Dantoft, TM, Dauchet, L, Davletov, K, De Backer, G, De Bacquer, D, De Curtis, A, de Gaetano, G, De Henauw, S, de Oliveira, PD, De Ridder, D, De Smedt, D, Deepa, M, Deev, AD, DeGennaro, VJ, Delisle, H, Demarest, S, Dennison, E, Deschamps, V, Dhimal, M, Di Castelnuovo, AF, Dias-da-Costa, JS, Diaz, A, Dickerson, TT, Dika, Z, Djalalinia, S, Do, HTP, Dobson, AJ, Donfrancesco, C, Donoso, SP, Döring, A, Dorobantu, M, Dörr, M, Doua, K, Dragano, N, Drygas, W, Duante, CA, Duboz, P, Duda, RB, Dulskiene, V, Dushpanova, A, Džakula, A, Dzerve, V, Dziankowska-Zaborszczyk, E, Eddie, R, Eftekhar, E, Eggertsen, R, Eghtesad, S, Eiben, G, Ekelund, U, El-Khateeb, M, El Ati, J, Eldemire-Shearer, D, Eliasen, M, Elosua, R, Erasmus, RT, Erbel, R, Erem, C, Eriksen, L, Eriksson, JG, Escobedo-de la Peña, J, Eslami, S, Esmaeili, A, Evans, A, Faeh, D, Fakhretdinova, AA, Fall, CH, Faramarzi, E, Farjam, M, Fattahi, MR, Fawwad, A, Felix-Redondo, FJ, Felix, SB, Ferguson, TS, Fernandes, RA, Fernández-Bergés, D, Ferrante, D, Ferrao, T, Ferrari, M, Ferrario, MM, Ferreccio, C, Ferreira, HS, Ferrer, E, Ferrieres, J, Figueiró, TH, Fink, G, Fischer, K, Foo, LH, Forsner, M, Fouad, HM, Francis, DK, Franco, MDC, Frikke-Schmidt, R, Frontera, G, Fuchs, FD, Fuchs, SC, Fujita, Y, Fumihiko, M, Furdela, V, Furer, A, Furusawa, T, Gaciong, Z, Galbarczyk, A, Galenkamp, H, Galvano, F, Gao, J, Gao, P, Garcia-de-la-Hera, M, Garcia, P, Gareta, D, Garnett, SP, Gaspoz, J-M, Gasull, M, Gazzinelli, A, Gehring, U, Geleijnse, JM, George, R, Ghanbari, A, Ghasemi, E, Gheorghe-Fronea, O-F, Ghimire, A, Gialluisi, A, Giampaoli, S, Gieger, C, Gill, TK, Giovannelli, J, Gironella, G, Giwercman, A, Gkiouras, K, Goldberg, M, Goldsmith, RA, Gomez, LF, Gomula, A, Gonçalves, H, Gonçalves, M, Gonçalves Cordeiro da Silva, B, Gonzalez-Chica, DA, Gonzalez-Gross, M, González-Rivas, JP, González-Villalpando, C, González-Villalpando, M-E, Gonzalez, AR, Gorbea, MB, Gottrand, F, Graff-Iversen, S, Grafnetter, D, Grajda, A, Grammatikopoulou, MG, Gregor, RD, Grodzicki, T, Grosso, G, Gruden, G, Gu, D, Guan, OP, Gudmundsson, EF, Gudnason, V, Guerrero, R, Guessous, I, Guimaraes, AL, Gulliford, MC, Gunnlaugsdottir, J, Gunter, MJ, Gupta, PC, Gupta, R, Gureje, O, Gurzkowska, B, Gutierrez, L, Gutzwiller, F, Ha, S, Hadaegh, F, Haghshenas, R, Hakimi, H, Halkjær, J, Hambleton, IR, Hamzeh, B, Hange, D, Hanif, AAM, Hantunen, S, Hao, J, Hardman, CM, Hari Kumar, R, Hashemi-Shahri, SM, Hata, J, Haugsgjerd, T, Hayes, AJ, He, Y, Heier, M, Hendriks, ME, Henrique, RDS, Henriques, A, Hernandez Cadena, L, Herqutanto, Herrala, S, Heshmat, R, Hill, AG, Ho, SY, Ho, SC, Hobbs, M, Holdsworth, M, Homayounfar, R, Horasan Dinc, G, Horimoto, ARVR, Hormiga, CM, Horta, BL, Houti, L, Howitt, C, Htay, TT, Htet, AS, Htike, MMT, Hu, Y, Huerta, JM, Huhtaniemi, IT, Huiart, L, Huisman, M, Husseini, AS, Huybrechts, I, Hwalla, N, Iacoviello, L, Iannone, AG, Ibrahim, MM, Ibrahim Wong, N, Ikram, MA, Iotova, V, Irazola, VE, Ishida, T, Isiguzo, GC, Islam, M, Islam, SMS, Iwasaki, M, Jackson, RT, Jacobs, JM, Jaddou, HY, Jafar, T, James, K, Jamrozik, K, Janszky, I, Janus, E, Jarvelin, M-R, Jasienska, G, Jelaković, A, Jelaković, B, Jennings, G, Jha, AK, Jiang, CQ, Jimenez, RO, Jöckel, K-H, Joffres, M, Johansson, M, Jokelainen, JJ, Jonas, JB, Jørgensen, T, Joshi, P, Joukar, F, Jóżwiak, J, Juolevi, A, Jurak, G, Jureša, V, Kaaks, R, Kafatos, A, Kajantie, EO, Kalmatayeva, Z, Kalpourtzi, N, Kalter-Leibovici, O, Kampmann, FB, Kannan, S, Karaglani, E, Kårhus, LL, Karki, KB, Katibeh, M, Katz, J, Kauhanen, J, Kaur, P, Kavousi, M, Kazakbaeva, GM, Keil, U, Keinan Boker, L, Keinänen-Kiukaanniemi, S, Kelishadi, R, Kemper, HCG, Keramati, M, Kerimkulova, A, Kersting, M, Key, T, Khader, YS, Khalili, D, Khaw, K-T, Kheiri, B, Kheradmand, M, Khosravi, A, Kiechl-Kohlendorfer, U, Kiechl, S, Killewo, J, Kim, DW, Kim, J, Klakk, H, Klimek, M, Klumbiene, J, Knoflach, M, Kolle, E, Kolsteren, P, Kontto, JP, Korpelainen, R, Korrovits, P, Kos, J, Koskinen, S, Kouda, K, Kowlessur, S, Koziel, S, Kratenova, J, Kriaucioniene, V, Kristensen, PL, Krokstad, S, Kromhout, D, Kruger, HS, Kubinova, R, Kuciene, R, Kujala, UM, Kulaga, Z, Kumar, RK, Kurjata, P, Kusuma, YS, Kutsenko, V, Kuulasmaa, K, Kyobutungi, C, Laatikainen, T, Lachat, C, Laid, Y, Lam, TH, Landrove, O, Lanska, V, Lappas, G, Larijani, B, Latt, TS, Le Coroller, G, Le Nguyen Bao, K, Le, TD, Lee, J, Lehmann, N, Lehtimäki, T, Lemogoum, D, Levitt, NS, Li, Y, Lilly, CL, Lim, W-Y, Lima-Costa, MF, Lin, X, Lin, Y-T, Lind, L, Lingam, V, Linneberg, A, Lissner, L, Litwin, M, Lo, W-C, Loit, H-M, Lopez-Garcia, E, Lopez, T, Lotufo, PA, Lozano, JE, Lukačević Lovrenčić, I, Lukrafka, JL, Luksiene, D, Lundqvist, A, Lundqvist, R, Lunet, N, Lustigová, M, Luszczki, E, Ma, G, Ma, J, Machado-Coelho, GLL, Machado-Rodrigues, AM, Macia, E, Macieira, LM, Madar, AA, Maggi, S, Magliano, DJ, Magriplis, E, Mahasampath, G, Maire, B, Majer, M, Makdisse, M, Malekzadeh, F, Malekzadeh, R, Malhotra, R, Mallikharjuna Rao, K, Malyutina, SK, Maniego, LV, Manios, Y, Mann, JI, Mansour-Ghanaei, F, Manzato, E, Marcil, A, Mårild, SB, Marinović Glavić, M, Marques-Vidal, P, Marques, LP, Marrugat, J, Martorell, R, Mascarenhas, LP, Matasin, M, Mathiesen, EB, Mathur, P, Matijasevich, A, Matlosz, P, Matsha, TE, Mavrogianni, C, Mbanya, JCN, Mc Donald Posso, AJ, McFarlane, SR, McGarvey, ST, McLachlan, S, McLean, RM, McLean, SB, McNulty, BA, Mediene Benchekor, S, Medzioniene, J, Mehdipour, P, Mehlig, K, Mehrparvar, AH, Meirhaeghe, A, Meisinger, C, Mendoza Montano, C, Menezes, AMB, Menon, GR, Mereke, A, Meshram, II, Metspalu, A, Meyer, HE, Mi, J, Michels, N, Mikkel, K, Milkowska, K, Miller, JC, Minderico, CS, Mini, GK, Mirjalili, MR, Mirrakhimov, E, Mišigoj-Duraković, M, Modesti, PA, Moghaddam, SS, Mohajer, B, Mohamed, MK, Mohamed, SF, Mohammad, K, Mohammadi, MR, Mohammadi, Z, Mohammadifard, N, Mohammadpourhodki, R, Mohan, V, Mohanna, S, Mohd Yusoff, MF, Mohebbi, I, Mohebi, F, Moitry, M, Møllehave, LT, Molnár, D, Momenan, A, Mondo, CK, Monterrubio-Flores, E, Monyeki, KDK, Moon, JS, Moosazadeh, M, Moreira, LB, Morejon, A, Moreno, LA, Morgan, K, Moschonis, G, Mossakowska, M, Mostafa, A, Mostafavi, S-A, Mota, J, Motlagh, ME, Motta, J, Moura-dos-Santos, MA, Mridha, MK, Msyamboza, KP, Mu, TT, Muhihi, AJ, Muiesan, ML, Müller-Nurasyid, M, Murphy, N, Mursu, J, Musa, KI, Musić Milanović, S, Musil, V, Mustafa, N, Nabipour, I, Naderimagham, S, Nagel, G, Naidu, BM, Najafi, F, Nakamura, H, Námešná, J, Nang, EEK, Nangia, VB, Narake, S, Ndiaye, NC, Neal, WA, Nejatizadeh, A, Nenko, I, Neovius, M, Nguyen, CT, Nguyen, ND, Nguyen, QV, Nguyen, QN, Nieto-Martínez, RE, Niiranen, TJ, Nikitin, YP, Ninomiya, T, Nishtar, S, Njelekela, MA, Noale, M, Noboa, OA, Noorbala, AA, Norat, T, Nordendahl, M, Nordestgaard, BG, Noto, D, Nowak-Szczepanska, N, Nsour, MA, Nunes, B, O'Neill, TW, O'Reilly, D, Ochimana, C, Oda, E, Odili, AN, Oh, K, Ohara, K, Ohtsuka, R, Olié, V, Olinto, MTA, Oliveira, IO, Omar, MA, Onat, A, Ong, SK, Ono, LM, Ordunez, P, Ornelas, R, Ortiz, PJ, Osmond, C, Ostojic, SM, Ostovar, A, Otero, JA, Overvad, K, Owusu-Dabo, E, Paccaud, FM, Padez, C, Pahomova, E, Paiva, KMD, Pająk, A, Palli, D, Palmieri, L, Pan, W-H, Panda-Jonas, S, Panza, F, Paoli, M, Papandreou, D, Park, S-W, Park, S, Parnell, WR, Parsaeian, M, Pasquet, P, Patel, ND, Pavlyshyn, H, Pećin, I, Pednekar, MS, Pedro, JM, Peer, N, Peixoto, SV, Peltonen, M, Pereira, AC, Peres, KGDA, Peres, MA, Peters, A, Petkeviciene, J, Peykari, N, Pham, ST, Pichardo, RN, Pigeot, I, Pikhart, H, Pilav, A, Pilotto, L, Pitakaka, F, Piwonska, A, Pizarro, AN, Plans-Rubió, P, Polašek, O, Porta, M, Poudyal, A, Pourfarzi, F, Pourshams, A, Poustchi, H, Pradeepa, R, Price, AJ, Price, JF, Providencia, R, Puhakka, SE, Puiu, M, Punab, M, Qasrawi, RF, Qorbani, M, Queiroz, D, Quoc Bao, T, Radić, I, Radisauskas, R, Rahimikazerooni, S, Rahman, M, Raitakari, O, Raj, M, Rakhimova, EM, and Ra
Published: 2021

35. Dietary Intake of Advanced Glycation End Products (AGEs) and Mortality among Individuals with Colorectal Cancer

Author: Mao, Z, Aglago, EK, Zhao, Z, Schalkwijk, C, Jiao, L, Freisling, H, Weiderpass, E, Hughes, DJ, Eriksen, AK, Tjonneland, A, Severi, G, Rothwell, J, Boutron-Ruault, M-C, Katzke, V, Kaaks, R, Schulze, MB, Birukov, A, Krogh, V, Panico, S, Tumino, R, Ricceri, F, Bueno-de-Mesquita, HB, Vermeulen, RCH, Gram, IT, Skeie, G, Sandanger, TM, Quiros, JR, Crous-Bou, M, Sanchez, M-J, Amiano, P, Chirlaque, M-D, Barricarte Gurrea, A, Manjer, J, Johansson, I, Perez-Cornago, A, Jenab, M, Fedirko, V, Mao, Z, Aglago, EK, Zhao, Z, Schalkwijk, C, Jiao, L, Freisling, H, Weiderpass, E, Hughes, DJ, Eriksen, AK, Tjonneland, A, Severi, G, Rothwell, J, Boutron-Ruault, M-C, Katzke, V, Kaaks, R, Schulze, MB, Birukov, A, Krogh, V, Panico, S, Tumino, R, Ricceri, F, Bueno-de-Mesquita, HB, Vermeulen, RCH, Gram, IT, Skeie, G, Sandanger, TM, Quiros, JR, Crous-Bou, M, Sanchez, M-J, Amiano, P, Chirlaque, M-D, Barricarte Gurrea, A, Manjer, J, Johansson, I, Perez-Cornago, A, Jenab, M, and Fedirko, V
Abstract: Advanced glycation end-products (AGEs) may promote oxidative stress and inflammation and have been linked to multiple chronic diseases, including cancer. However, the association of AGEs with mortality after colorectal cancer (CRC) diagnosis has not been previously investigated. Multivariable Cox proportional hazards models were used to calculate hazard ratios and corresponding 95% confidence intervals for associations between dietary intake of AGEs with CRC-specific and all-cause mortality among 5801 participant cases diagnosed with CRC in the European Prospective Investigation into Cancer and Nutrition study between 1993 and 2013. Dietary intakes of AGEs were estimated using country-specific dietary questionnaires, linked to an AGE database, that accounted for food preparation and processing. During a median of 58 months of follow-up, 2421 cases died (1841 from CRC). Individually or combined, dietary intakes of AGEs were not associated with all-cause and CRC-specific mortality among cases. However, there was a suggestion for a positive association between AGEs and all-cause or CRC-specific mortality among CRC cases without type II diabetes (all-cause, Pinteraction = 0.05) and CRC cases with the longest follow-up between recruitment and cancer diagnosis (CRC-specific, Pinteraction = 0.003; all-cause, Pinteraction = 0.01). Our study suggests that pre-diagnostic dietary intakes of AGEs were not associated with CRC-specific or all-cause mortality among CRC patients. Further investigations using biomarkers of AGEs and stratifying by sex, diabetes status, and timing of exposure to AGEs are warranted.
Published: 2021

36. Association of Pre-diagnostic Antibody Responses to Escherichia coli and Bacteroides fragilis Toxin Proteins with Colorectal Cancer in a European Cohort

Author: Butt, J, Jenab, M, Werner, J, Fedirko, V, Weiderpass, E, Dahm, CC, Tjonneland, A, Olsen, A, Boutron-Ruault, M-C, Rothwell, JA, Severi, G, Kaaks, R, Turzanski-Fortner, R, Aleksandrova, K, Schulze, M, Palli, D, Pala, V, Panico, S, Tumino, R, Sacerdote, C, Bueno-de-Mesquita, B, Van Gils, CH, Gram, IT, Lukic, M, Sala, N, Sanchez Perez, MJ, Ardanaz, E, Chirlaque, M-D, Palmquist, R, Lowenmark, T, Travis, RC, Heath, A, Cross, AJ, Freisling, H, Zouiouich, S, Aglago, E, Waterboer, T, Hughes, DJ, Butt, J, Jenab, M, Werner, J, Fedirko, V, Weiderpass, E, Dahm, CC, Tjonneland, A, Olsen, A, Boutron-Ruault, M-C, Rothwell, JA, Severi, G, Kaaks, R, Turzanski-Fortner, R, Aleksandrova, K, Schulze, M, Palli, D, Pala, V, Panico, S, Tumino, R, Sacerdote, C, Bueno-de-Mesquita, B, Van Gils, CH, Gram, IT, Lukic, M, Sala, N, Sanchez Perez, MJ, Ardanaz, E, Chirlaque, M-D, Palmquist, R, Lowenmark, T, Travis, RC, Heath, A, Cross, AJ, Freisling, H, Zouiouich, S, Aglago, E, Waterboer, T, and Hughes, DJ
Abstract: Experimental evidence has implicated genotoxic Escherichia coli (E. coli) and enterotoxigenic Bacteroides fragilis (ETBF) in the development of colorectal cancer (CRC). However, evidence from epidemiological studies is sparse. We therefore assessed the association of serological markers of E. coli and ETBF exposure with odds of developing CRC in the European Prospective Investigation into Nutrition and Cancer (EPIC) study.Serum samples of incident CRC cases and matched controls (n = 442 pairs) were analyzed for immunoglobulin (Ig) A and G antibody responses to seven E. coli proteins and two isoforms of the ETBF toxin via multiplex serology. Multivariable-adjusted conditional logistic regression analyses were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs) for the association of sero-positivity to E. coli and ETBF with CRC.The IgA-positivity of any of the tested E. coli antigens was associated with higher odds of developing CRC (OR: 1.42; 95% CI: 1.05-1.91). Dual-positivity for both IgA and IgG to E. coli and ETBF was associated with >1.7-fold higher odds of developing CRC, with a significant association only for IgG (OR: 1.75; 95% CI: 1.04, 2.94). This association was more pronounced when restricted to the proximal colon cancers (OR: 2.62; 95% CI: 1.09, 6.29) compared to those of the distal colon (OR: 1.24; 95% CI: 0.51, 3.00) (pheterogeneity = 0.095). Sero-positivity to E. coli and ETBF was associated with CRC development, suggesting that co-infection of these bacterial species may contribute to colorectal carcinogenesis. These findings warrant further exploration in larger prospective studies and within different population groups.
Published: 2021

37. Weight change in middle adulthood and risk of cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort

Author: 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.
Published: 2021

38. The association of education with long-term weight change in the EPIC-PANACEA cohort

Author: Rohrmann, S, Steinbrecher, A, Linseisen, J, Hermann, S, May, A, Luan, J, Ekelund, U, Overvad, K, Tjønneland, A, Halkjær, J, Fagherazzi, G, Boutron-Ruault, M-C, Clavel-Chapelon, F, Agnoli, C, Tumino, R, Masala, G, Mattiello, A, Ricceri, F, Travier, N, Amiano, P, Ardanaz, E, Chirlaque, M-D, Sanchez, M-J, Rodríguez, L, Nilsson, L M, Johansson, I, Hedblad, B, Rosvall, M, Lund, E, Braaten, T, Naska, A, Orfanos, P, Trichopoulou, A, van den Berg, S, Bueno-de-Mesquita, H B, Bergmann, M M, Steffen, A, Kaaks, R, Teucher, B, Wareham, N J, Khaw, K-T, Crowe, F L, Illner, A-K, Slimani, N, Gallo, V, Mouw, T, Norat, T, and Peeters, P H M
Published: 2012
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39. The association of lifetime alcohol use with measures of abdominal and general adiposity in a large-scale European cohort

Author: Bergmann, M M, Schütze, M, Steffen, A, Boeing, H, Halkjaer, J, Tjonneland, A, Travier, N, Agudo, A, Slimani, N, Rinaldi, S, Norat, T, Romaguera, D, Rohrmann, S, Kaaks, R, Jakobsen, M U, Overvad, K, Ekelund, U, Spencer, E A, Rodríguez, L, Sánchez, M J, Dorronsoro, M, Barricarte, A, Chirlaque, M-D, Orfanos, P, Naska, A, Trichopoulou, A, Palli, D, Grioni, S, Vineis, P, Panico, S, Tumino, R, Riboli, E, Wareham, N J, Bueno-de-Mesquita, B, May, A, and Peeters, P H M
Published: 2011
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40. Sleep and gastrointestinal cancer risk in the MCC-Spain case-control study: 295

Author: Papantoniou, K., Guinó, E., Castaño-Vinyals, G., Aragonés, N., Sanchez, Martin V., Acebo, Gomez I., Jiménez Moleón, J. J., Peiro, R., Ardanaz, E., Alguacil, J., Altzibar, J. M., Tardón, A., Chirlaque, M.-D., Kogevinas, M., and Moreno, V.
Published: 2014

41. Adherence to the Mediterranean diet and risk of bladder cancer in the EPIC cohort study

Author: Buckland, G., Ros, M. M., Roswall, N., Bueno-de-Mesquita, H. B., Travier, N., Tjonneland, A., Kiemeney, L. A., Sacerdote, C., Tumino, R., Ljungberg, B., Gram, I. T., Weiderpass, E., Skeie, G., Malm, J., Ehrnström, R., Chang-Claude, J., Mattiello, A., Agnoli, C., Peeters, P. H., Boutron-Ruault, M. C., Fagherazzi, G., Clavel-Chapelon, F., Nilsson, L. M., Amiano, P., Trichopoulou, A., Oikonomou, E., Tsiotas, K., Sánchez, M. J., Overvad, K., Quirós, J. R., Chirlaque, M. D, Barricarte, A., Key, T. J., Allen, N. E., Khaw, K. T., Wareham, N., Riboli, E., Kaaks, R., Boeing, H., Palli, D., Romieu, I., Romaguera, D., and Gonzalez, C. A.
Published: 2014
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42. Social mobility and healthy behaviours from a gender perspective in the Spanish multicase-control study (MCC-Spain)

Author: Pinto-Carbó, M., primary, Peiró-Pérez, R., additional, Molina-Barceló, A., additional, Vanaclocha-Espi, M., additional, Alguacil, J., additional, Castaño-Vinyals, G., additional, O’Callaghan-Gordo, C., additional, Gràcia-Lavedan, E., additional, Pérez-Gómez, B., additional, Lope, V., additional, Aragonés, N., additional, Molina, A. J., additional, Fernández-Villa, T., additional, Gil-Majuelo, L., additional, Amiano, P., additional, Dierssen-Sotos, T., additional, Gómez-Acebo, I., additional, Guevara, M., additional, Moreno-Iribas, C., additional, Obón-Santacana, M., additional, Rodríguez-Suárez, M. M., additional, Salcedo-Bellido, I., additional, Delgado-Parrilla, A., additional, Marcos-Gragera, R., additional, Chirlaque, M. D., additional, Kogevinas, M., additional, Pollán, M., additional, and Salas, D., additional
Published: 2021
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43. Alcohol Consumption and Risk of Parkinson's Disease: Data From a Large Prospective European Cohort

Author: Peters, S. Gallo, V. Vineis, P. Middleton, L.T. Forsgren, L. Sacerdote, C. Sieri, S. Kyrozis, A. Chirlaque, M.-D. Zamora-Ros, R. Hansson, O. Petersson, J. Katzke, V. Kühn, T. Mokoroa, O. Masala, G. Ardanaz, E. Panico, S. Bergmann, M.M. Key, T.J. Weiderpass, E. Ferrari, P. Vermeulen, R.
Abstract: Background: Parkinson's disease (PD) etiology is not well understood. Reported inverse associations with smoking and coffee consumption prompted the investigation of alcohol consumption as a risk factor, for which evidence is inconclusive. Objective: To assess the associations between alcohol consumption and PD risk. Methods: Within NeuroEPIC4PD, a prospective European population-based cohort, 694 incident PD cases were ascertained from 209,998 PD-free participants. Average alcohol consumption at different time points was self-reported at recruitment. Cox regression hazard ratios were estimated for alcohol consumption and PD occurrence. Results: No associations between baseline or lifetime total alcohol consumption and PD risk were observed. Men with moderate lifetime consumption (5–29.9 g/day) were at ~50% higher risk compared with light consumption (0.1–4.9 g/day), but no linear exposure–response trend was observed. Analyses by beverage type also revealed no associations with PD. Conclusion: Our data reinforce previous findings from prospective studies showing no association between alcohol consumption and PD risk. © 2020 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society. © 2020 The Authors. Movement Disorders published by Wiley Periodicals, Inc. on behalf of International Parkinson and Movement Disorder Society.
Published: 2020

44. Intake of individual fatty acids and risk of prostate cancer in the European prospective investigation into cancer and nutrition

Author: Perez-Cornago, A. Huybrechts, I. Appleby, P.N. Schmidt, J.A. Crowe, F.L. Overvad, K. Tjønneland, A. Kühn, T. Katzke, V. Trichopoulou, A. Karakatsani, A. Peppa, E. Grioni, S. Palli, D. Sacerdote, C. Tumino, R. Bueno-de-Mesquita, H.B. Larrañaga, N. Sánchez, M.-J. Quirós, J.R. Ardanaz, E. Chirlaque, M.-D. Agudo, A. Bjartell, A. Wallström, P. Chajes, V. Tsilidis, K.K. Aune, D. Riboli, E. Travis, R.C. Key, T.J.
Abstract: The associations of individual dietary fatty acids with prostate cancer risk have not been examined comprehensively. We examined the prospective association of individual dietary fatty acids with prostate cancer risk overall, by tumor subtypes, and prostate cancer death. 142,239 men from the European Prospective Investigation into Cancer and Nutrition who were free from cancer at recruitment were included. Dietary intakes of individual fatty acids were estimated using center-specific validated dietary questionnaires at baseline and calibrated with 24-h recalls. Multivariable Cox regression models were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs). After an average follow-up of 13.9 years, 7,036 prostate cancer cases and 936 prostate cancer deaths were ascertained. Intakes of individual fatty acids were not related to overall prostate cancer risk. There was evidence of heterogeneity in the association of some short chain saturated fatty acids with prostate cancer risk by tumor stage (pheterogeneity < 0.015), with a positive association with risk of advanced stage disease for butyric acid (4:0; HR1SD = 1.08; 95%CI = 1.01–1.15; p-trend = 0.026). There were no associations with fatal prostate cancer, with the exception of a slightly higher risk for those who consumed more eicosenoic acid (22:1n-9c; HR1SD = 1.05; 1.00–1.11; p-trend = 0.048) and eicosapentaenoic acid (20:5n-3c; HR1SD = 1.07; 1.00–1.14; p-trend = 0.045). There was no evidence that dietary intakes of individual fatty acids were associated with overall prostate cancer risk. However, a higher intake of butyric acid might be associated with a higher risk of advanced, whereas intakes of eicosenoic and eicosapentaenoic acids might be positively associated with fatal prostate cancer risk. © 2019 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC
Published: 2020

45. Predicted basal metabolic rate and cancer risk in the European Prospective Investigation into Cancer and Nutrition

Author: Kliemann, N. Murphy, N. Viallon, V. Freisling, H. Tsilidis, K.K. Rinaldi, S. Mancini, F.R. Fagherazzi, G. Boutron-Ruault, M.-C. Boeing, H. Schulze, M.B. Masala, G. Krogh, V. Sacerdote, C. de Magistris, M.S. Bueno-de-Mesquita, B. Weiderpass, E. Kühn, T. Kaaks, R. Jakszyn, P. Redondo-Sánchez, D. Amiano, P. Chirlaque, M.-D. Gurrea, A.B. Ericson, U. Drake, I. Nøst, T.H. Aune, D. May, A.M. Tjønneland, A. Dahm, C.C. Overvad, K. Tumino, R. Quirós, J.R. Trichopoulou, A. Karakatsani, A. La Vecchia, C. Nilsson, L.M. Riboli, E. Huybrechts, I. Gunter, M.J.
Abstract: Emerging evidence suggests that a metabolic profile associated with obesity may be a more relevant risk factor for some cancers than adiposity per se. Basal metabolic rate (BMR) is an indicator of overall body metabolism and may be a proxy for the impact of a specific metabolic profile on cancer risk. Therefore, we investigated the association of predicted BMR with incidence of 13 obesity-related cancers in the European Prospective Investigation into Cancer and Nutrition (EPIC). BMR at baseline was calculated using the WHO/FAO/UNU equations and the relationships between BMR and cancer risk were investigated using multivariable Cox proportional hazards regression models. A total of 141,295 men and 317,613 women, with a mean follow-up of 14 years were included in the analysis. Overall, higher BMR was associated with a greater risk for most cancers that have been linked with obesity. However, among normal weight participants, higher BMR was associated with elevated risks of esophageal adenocarcinoma (hazard ratio per 1-standard deviation change in BMR [HR1-SD]: 2.46; 95% CI 1.20; 5.03) and distal colon cancer (HR1-SD: 1.33; 95% CI 1.001; 1.77) among men and with proximal colon (HR1-SD: 1.16; 95% CI 1.01; 1.35), pancreatic (HR1-SD: 1.37; 95% CI 1.13; 1.66), thyroid (HR1-SD: 1.65; 95% CI 1.33; 2.05), postmenopausal breast (HR1-SD: 1.17; 95% CI 1.11; 1.22) and endometrial (HR1-SD: 1.20; 95% CI 1.03; 1.40) cancers in women. These results indicate that higher BMR may be an indicator of a metabolic phenotype associated with risk of certain cancer types, and may be a useful predictor of cancer risk independent of body fatness. © 2019 International Agency for Research on Cancer (IARC/WHO); licensed by UICC
Published: 2020

46. Dietary and circulating fatty acids and ovarian cancer risk in the European Prospective Investigation into Cancer and Nutrition

Author: Yammine, S. Huybrechts, I. Biessy, C. Dossus, L. Aglago, E.K. Naudin, S. Ferrari, P. Weiderpass, E. Tjønneland, A. Hansen, L. Overvad, K. Mancini, F.R. Boutron-Ruault, M.-C. Kvaskoff, M. Fortner, R.T. Kaaks, R. Schulze, M.B. Boeing, H. Trichopoulou, A. Karakatsani, A. Vecchia, C.L. Benetou, V. Masala, G. Krogh, V. Mattiello, A. Macciotta, A. Gram, I.T. Skeie, G. Quiros, J.R. Agudo, A. Sanchez, M.-J. Chirlaque, M.-D. Ardanaz, E. Gil, L. Sartor, H. Drake, I. Idahl, A. Lundin, E. Aune, D. Ward, H. Merritt, M.A. Allen, N.E. Gunter, M.J. Chajes, V.
Abstract: Background: Fatty acids impact obesity, estrogens, and inflammation, which are risk factors for ovarian cancer. Few epidemiologic studies have investigated the association of fatty acids with ovarian cancer. Methods: Within the European Prospective Investigation into Cancer and Nutrition (EPIC), 1,486 incident ovarian cancer cases were identified. Cox proportional hazard models with adjustment for ovarian cancer risk factors were used to estimate HRs of ovarian cancer across quintiles of intake of fatty acids. False discovery rate was computed to control for multiple testing. Multivariable conditional logistic regression models were used to estimate ORs of ovarian cancer across tertiles of plasma fatty acids among 633 cases and two matched controls in a nested case–control analysis. Results: A positive association was found between ovarian cancer and intake of industrial trans elaidic acid [HR comparing fifth with first quintileQ5-Q1 ¼ 1.29; 95% confidence interval (CI) ¼ 1.03–1.62; Ptrend ¼ 0.02, q-value ¼ 0.06]. Dietary intakes of n-6 linoleic acid (HRQ5-Q1 ¼ 1.10; 95% CI ¼ 1.01–1.21; Ptrend ¼ 0.03) and n-3 a-linolenic acid (HRQ5-Q1 ¼ 1.18; 95% CI ¼ 1.05–1.34; Ptrend ¼ 0.007) from deep-frying fats were also positively associated with ovarian cancer. Suggestive associations were reported for circulating elaidic (OR comparing third with first tertileT3-T1 ¼ 1.39; 95% CI ¼ 0.99–1.94; Ptrend ¼ 0.06) and a-linolenic acids (ORT3-T1 ¼ 1.30; 95% CI ¼ 0.98–1.72; Ptrend ¼ 0.06). Conclusions: Our results suggest that higher intakes and circulating levels of industrial trans elaidic acid, and higher intakes of linoleic acid and a-linolenic acid from deep-frying fat, may be associated with greater risk of ovarian cancer. Impact: If causal, eliminating industrial trans-fatty acids could offer a straightforward public health action for reducing ovarian cancer risk. © 2020 American Association for Cancer Research.
Published: 2020

47. Patterns in metabolite profile are associated with risk of more aggressive prostate cancer: A prospective study of 3,057 matched case–control sets from EPIC

Author: Schmidt, J.A. Fensom, G.K. Rinaldi, S. Scalbert, A. Appleby, P.N. Achaintre, D. Gicquiau, A. Gunter, M.J. Ferrari, P. Kaaks, R. Kühn, T. Boeing, H. Trichopoulou, A. Karakatsani, A. Peppa, E. Palli, D. Sieri, S. Tumino, R. Bueno-de-Mesquita, B. Agudo, A. Sánchez, M.-J. Chirlaque, M.-D. Ardanaz, E. Larrañaga, N. Perez-Cornago, A. Assi, N. Riboli, E. Tsilidis, K.K. Key, T.J. Travis, R.C.
Abstract: Metabolomics may reveal novel insights into the etiology of prostate cancer, for which few risk factors are established. We investigated the association between patterns in baseline plasma metabolite profile and subsequent prostate cancer risk, using data from 3,057 matched case–control sets from the European Prospective Investigation into Cancer and Nutrition (EPIC). We measured 119 metabolite concentrations in plasma samples, collected on average 9.4 years before diagnosis, by mass spectrometry (AbsoluteIDQ p180 Kit, Biocrates Life Sciences AG). Metabolite patterns were identified using treelet transform, a statistical method for identification of groups of correlated metabolites. Associations of metabolite patterns with prostate cancer risk (OR1SD) were estimated by conditional logistic regression. Supplementary analyses were conducted for metabolite patterns derived using principal component analysis and for individual metabolites. Men with metabolite profiles characterized by higher concentrations of either phosphatidylcholines or hydroxysphingomyelins (OR1SD = 0.77, 95% confidence interval 0.66–0.89), acylcarnitines C18:1 and C18:2, glutamate, ornithine and taurine (OR1SD = 0.72, 0.57–0.90), or lysophosphatidylcholines (OR1SD = 0.81, 0.69–0.95) had lower risk of advanced stage prostate cancer at diagnosis, with no evidence of heterogeneity by follow-up time. Similar associations were observed for the two former patterns with aggressive disease risk (the more aggressive subset of advanced stage), while the latter pattern was inversely related to risk of prostate cancer death (OR1SD = 0.77, 0.61–0.96). No associations were observed for prostate cancer overall or less aggressive tumor subtypes. In conclusion, metabolite patterns may be related to lower risk of more aggressive prostate tumors and prostate cancer death, and might be relevant to etiology of advanced stage prostate cancer. © 2019 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC
Published: 2020

48. Circulating bilirubin levels and risk of colorectal cancer: Serological and Mendelian randomization analyses

Author: Seyed Khoei, N. Jenab, M. Murphy, N. Banbury, B.L. Carreras-Torres, R. Viallon, V. Kühn, T. Bueno-De-Mesquita, B. Aleksandrova, K. Cross, A.J. Weiderpass, E. Stepien, M. Bulmer, A. Tjønneland, A. Boutron-Ruault, M.-C. Severi, G. Carbonnel, F. Katzke, V. Boeing, H. Bergmann, M.M. Trichopoulou, A. Karakatsani, A. Martimianaki, G. Palli, D. Tagliabue, G. Panico, S. Tumino, R. Sacerdote, C. Skeie, G. Merino, S. Bonet, C. Rodríguez-Barranco, M. Gil, L. Chirlaque, M.-D. Ardanaz, E. Myte, R. Hultdin, J. Perez-Cornago, A. Aune, D. Tsilidis, K.K. Albanes, D. Baron, J.A. Berndt, S.I. Bézieau, S. Brenner, H. Campbell, P.T. Casey, G. Chan, A.T. Chang-Claude, J. Chanock, S.J. Cotterchio, M. Gallinger, S. Gruber, S.B. Haile, R.W. Hampe, J. Hoffmeister, M. Hopper, J.L. Hsu, L. Huyghe, J.R. Jenkins, M.A. Joshi, A.D. Kampman, E. Larsson, S.C. Le Marchand, L. Li, C.I. Li, L. Lindblom, A. Lindor, N.M. Martín, V. Moreno, V. Newcomb, P.A. Offit, K. Ogino, S. Parfrey, P.S. Pharoah, P.D.P. Rennert, G. Sakoda, L.C. Schafmayer, C. Schmit, S.L. Schoen, R.E. Slattery, M.L. Thibodeau, S.N. Ulrich, C.M. Van Duijnhoven, F.J.B. Weigl, K. Weinstein, S.J. White, E. Wolk, A. Woods, M.O. Wu, A.H. Zhang, X. Ferrari, P. Anton, G. Peters, A. Peters, U. Gunter, M.J. Wagner, K.-H. Freisling, H.
Abstract: Background: Bilirubin, a byproduct of hemoglobin breakdown and purported anti-oxidant, is thought to be cancer preventive. We conducted complementary serological and Mendelian randomization (MR) analyses to investigate whether alterations in circulating levels of bilirubin are associated with risk of colorectal cancer (CRC). We decided a priori to perform analyses separately in men and women based on suggestive evidence that associations may differ by sex. Methods: In a case-control study nested in the European Prospective Investigation into Cancer and Nutrition (EPIC), pre-diagnostic unconjugated bilirubin (UCB, the main component of total bilirubin) concentrations were measured by high-performance liquid chromatography in plasma samples of 1386 CRC cases and their individually matched controls. Additionally, 115 single-nucleotide polymorphisms (SNPs) robustly associated (P < 5 × 10-8) with circulating total bilirubin were instrumented in a 2-sample MR to test for a potential causal effect of bilirubin on CRC risk in 52,775 CRC cases and 45,940 matched controls in the Genetics and Epidemiology of Colorectal Cancer Consortium (GECCO), the Colon Cancer Family Registry (CCFR), and the Colorectal Transdisciplinary (CORECT) study. Results: The associations between circulating UCB levels and CRC risk differed by sex (P heterogeneity = 0.008). Among men, higher levels of UCB were positively associated with CRC risk (odds ratio [OR] = 1.19, 95% confidence interval [CI] = 1.04-1.36; per 1-SD increment of log-UCB). In women, an inverse association was observed (OR = 0.86 (0.76-0.97)). In the MR analysis of the main UGT1A1 SNP (rs6431625), genetically predicted higher levels of total bilirubin were associated with a 7% increase in CRC risk in men (OR = 1.07 (1.02-1.12); P = 0.006; per 1-SD increment of total bilirubin), while there was no association in women (OR = 1.01 (0.96-1.06); P = 0.73). Raised bilirubin levels, predicted by instrumental variables excluding rs6431625, were suggestive of an inverse association with CRC in men, but not in women. These differences by sex did not reach formal statistical significance (P heterogeneity ≥ 0.2). Conclusions: Additional insight into the relationship between circulating bilirubin and CRC is needed in order to conclude on a potential causal role of bilirubin in CRC development. © 2020 The Author(s).
Published: 2020

49. The associations of major foods and fibre with risks of ischaemic and haemorrhagic stroke: A prospective study of 418 329 participants in the EPIC cohort across nine European countries

Author: Tong, T.Y.N. Appleby, P.N. Key, T.J. Dahm, C.C. Overvad, K. Olsen, A. Tjønneland, A. Katzke, V. Kühn, T. Boeing, H. Karakatsani, A. Peppa, E. Trichopoulou, A. Weiderpass, E. Masala, G. Grioni, S. Panico, S. Tumino, R. Boer, J.M.A. Verschuren, W.M.M. Quirós, J.R. Agudo, A. Rodríguez-Barranco, M. Imaz, L. Chirlaque, M.-D. Moreno-Iribas, C. Engström, G. Sonestedt, E. Lind, M. Otten, J. Khaw, K.-T. Aune, D. Riboli, E. Wareham, N.J. Imamura, F. Forouhi, N.G. Di Angelantonio, E. Wood, A.M. Butterworth, A.S. Perez-Cornago, A.
Abstract: Aim: To investigate the associations between major foods and dietary fibre with subtypes of stroke in a large prospective cohort. Methods and results: We analysed data on 418 329 men and women from nine European countries, with an average of 12.7 years of follow-up. Diet was assessed using validated country-specific questionnaires which asked about habitual intake over the past year, calibrated using 24-h recalls. Multivariable-adjusted Cox regressions were used to estimate hazard ratios (HRs) for ischaemic and haemorrhagic stroke associated with consumption of red and processed meat, poultry, fish, dairy foods, eggs, cereals, fruit and vegetables, legumes, nuts and seeds, and dietary fibre. For ischaemic stroke (4281 cases), lower risks were observed with higher consumption of fruit and vegetables combined (HR; 95% CI per 200 g/day higher intake, 0.87; 0.82-0.93, P-trend < 0.001), dietary fibre (per 10 g/day, 0.77; 0.69-0.86, P-trend < 0.001), milk (per 200 g/day, 0.95; 0.91-0.99, P-trend = 0.02), yogurt (per 100 g/day, 0.91; 0.85-0.97, P-trend = 0.004), and cheese (per 30 g/day, 0.88; 0.81-0.97, P-trend = 0.008), while higher risk was observed with higher red meat consumption which attenuated when adjusted for the other statistically significant foods (per 50 g/day, 1.07; 0.96-1.20, P-trend = 0.20). For haemorrhagic stroke (1430 cases), higher risk was associated with higher egg consumption (per 20 g/day, 1.25; 1.09-1.43, P-trend = 0.002). Conclusion: Risk of ischaemic stroke was inversely associated with consumption of fruit and vegetables, dietary fibre, and dairy foods, while risk of haemorrhagic stroke was positively associated with egg consumption. The apparent differences in the associations highlight the importance of examining ischaemic and haemorrhagic stroke subtypes separately. © 2020 The Author(s) 2020. Published by Oxford University Press on behalf of the European Society of Cardiology.
Published: 2020

50. Serum levels of hsa-miR-16-5p, hsa-miR-29a-3p, hsa-miR-150-5p, hsa-miR-155-5p and hsa-miR-223-3p and subsequent risk of chronic lymphocytic leukemia in the EPIC study

Author: Casabonne, D. Benavente, Y. Seifert, J. Costas, L. Armesto, M. Arestin, M. Besson, C. Hosnijeh, F.S. Duell, E.J. Weiderpass, E. Masala, G. Kaaks, R. Canzian, F. Chirlaque, M.-D. Perduca, V. Mancini, F.R. Pala, V. Trichopoulou, A. Karakatsani, A. La Vecchia, C. Sánchez, M.-J. Tumino, R. Gunter, M.J. Amiano, P. Panico, S. Sacerdote, C. Schmidt, J.A. Boeing, H. Schulze, M.B. Barricarte, A. Riboli, E. Olsen, A. Tjønneland, A. Vermeulen, R. Nieters, A. Lawrie, C.H. de Sanjosé, S.
Subjects: body regions, embryonic structures
Abstract: Chronic lymphocytic leukemia (CLL) is an incurable disease accounting for almost one-third of leukemias in the Western world. Aberrant expression of microRNAs (miRNAs) is a well-established characteristic of CLL, and the robust nature of miRNAs makes them eminently suitable liquid biopsy biomarkers. Using a nested case–control study within the European Prospective Investigation into Cancer and Nutrition (EPIC), the predictive values of five promising human miRNAs (hsa-miR-16-5p, hsa-miR-29a-3p, hsa-miR-150-5p, hsa-miR-155-5p and hsa-miR-223-3p), identified in a pilot study, were examined in serum of 224 CLL cases (diagnosed 3 months to 18 years after enrollment) and 224 matched controls using Taqman based assays. Conditional logistic regressions were applied to adjust for potential confounders. The median time from blood collection to CLL diagnosis was 10 years (p25–p75: 7–13 years). Overall, the upregulation of hsa-miR-150-5p, hsa-miR-155-5p and hsa-miR-29a-3p was associated with subsequent risk of CLL [OR1∆Ct-unit increase (95%CI) = 1.42 (1.18–1.72), 1.64 (1.31–2.04) and 1.75 (1.31–2.34) for hsa-miR-150-5p, hsa-miR-155-5p and hsa-miR-29a-3p, respectively] and the strongest associations were observed within 10 years of diagnosis. However, the predictive performance of these miRNAs was modest (area under the curve
Published: 2020

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