186 results on '"Muller DC"'
Search Results
2. A prospective study of plasma levels of alpha-tocopherol (vitamin E), beta carotene, and ascorbic acid (vitamin C) and risk of developing Alzheimer’s disease in the Baltimore Longitudinal Study of Aging (BLSA/NIA)
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Chen, CL, Muller, DC, Andres, R, Hallfrisch, J, Costa, P, and Kawas, C
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Clinical Sciences ,Neurosciences ,Cognitive Sciences ,Neurology & Neurosurgery ,Clinical sciences - Published
- 1998
3. Vitamin B6 intake, its active form pyridoxal 5'phosphate, and markers of B6 activity and catabolism
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Clasen, J, Heath, AK, Van Puyvelde, H, Huybrechts, I, Johansson, M, Ferrari, P, Park, JY, Brennan, P, Riboli, E, Muller, DC, and Cancer Research UK
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Science & Technology ,Epidemiology ,0104 Statistics ,Life Sciences & Biomedicine ,Public, Environmental & Occupational Health ,1117 Public Health and Health Services - Abstract
Background Several biological pathways implicated in cancer risk rely on vitamin B6, which can be measured in its active form pyridoxal 5’-phosphate (PLP). Functional markers of B6 enzymatic activity have been proposed, including the homocysteine:cysteine ratio (Hcy:Cys, a marker of transsulfuration), 3-hydroxykynurenine ratio (HKr, a marker of tryptophan catabolism), and the 4-pyridoxic acid ratio (PAr, a marker of B6 catabolism). We investigated the extent to which these markers are associated with B6 intake. Methods Data from 4,750 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) study were included. We estimated the expected percentage change in each of the markers (PLP, Hcy:Cys, HKr, and PAr) for a doubling in B6 intake using log-linear Bayesian hierarchical regression models with log-transformed intake and biomarker data. Results The percent change (posterior mean [95% Credible Interval (CrI)]) for a doubling of B6 intake was 61.0 [51.2, 71.8] for PLP, -12.7 [-15.2, -9.9] for Hcy:Cys, -12.9 [-15.7, -9.9] for HKr, and 1.3 [-3.5, 6.2] for PAr. Conclusions B6 intake is most strongly associated with PLP, but is also associated with functional markers of transsulfuration and tryptophan catabolism, in the direction of increased activity in these pathways. There is no evidence of a linear association between vitamin B6 intake and catabolism. Key messages Our results show differing sensitivity of PLP, markers of tryptophan catabolism and transsulfuration, and vitamin B6 catabolism to B6 intake.
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- 2021
4. The added value of genetic information in colorectal cancer risk prediction models: development and evaluation in the UK Biobank prospective cohort study
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Smith, T, Gunter, M, Tzoulaki, I, Muller, DC, Cancer Research UK, and MRC-PHE Centre for Environment and Health and Department of Epidemiology and Biostatistics
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Risk ,Science & Technology ,Models, Statistical ,fungi ,Brief Communication ,Risk Assessment ,United Kingdom ,Oncology ,Risk Factors ,SCORE ,Humans ,Genetic Predisposition to Disease ,Oncology & Carcinogenesis ,Colorectal Neoplasms ,Life Sciences & Biomedicine ,1112 Oncology And Carcinogenesis ,Genome-Wide Association Study - Abstract
Colorectal cancer (CRC) risk prediction models could be used to risk-stratify the population to provide individually tailored screening provision. Using participants from the UK Biobank prospective cohort study, we evaluated whether the addition of a genetic risk score (GRS) could improve the performance of two previously validated models. Inclusion of the GRS did not appreciably improve discrimination of either model, and led to substantial miscalibration. Following recalibration the discrimination did not change, but good calibration for models incorporating the GRS was recovered. Comparing predictions between models with and without the GRS, 5% of participants or fewer changed their absolute risk by ±0.3% or more in either model. In summary, addition of a GRS did not meaningfully improve the performance of validated CRC-risk prediction models. At present, provision of genetic information is not useful for risk stratification for CRC.
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- 2018
5. Carbohydrate metabolism in the elderly
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Elahi, D and Muller, DC
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- 2000
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6. Fetal growth and fetoplacental circulation in pregnancies following bariatric surgery: a prospective study
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Maric, T, primary, Kanu, C, additional, Muller, DC, additional, Tzoulaki, I, additional, Johnson, MR, additional, and Savvidou, MD, additional
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- 2020
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7. The essential role of prevention in reducing the cancer burden in Europe:a commentary from Cancer Prevention Europe
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Espina, C, Bauld, L, Bonanni, B, Brenner, H, Brown, K, Dillner, J, Kampman, E, Nilbert, M, Vineis, P, Weijenberg, MP, Cox, A, De Kok, TM, Fecht, D, Mitrou, G, Muller, DC, Serrano, D, Steindorf, K, Storm, H, Thorat, MA, Van Duijnhoven, F, Weiderpass, E, Schüz, J, and Medical Research Council (MRC)
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Oncology ,cancer prevention ,Epidemiology and prevention ,1103 Clinical Sciences ,Oncology & Carcinogenesis - Published
- 2019
8. Personal radio use and cancer risks among 48,158 British police officers and staff from the Airwave Health Monitoring Study
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Gao, H, Aresu, M, Vergnaud, AC, McRobie, D, Spear, J, Heard, A, Kongsgard, HW, Singh, D, Muller, DC, Elliott, P, Wells, J, Home Office, Medical Research Council (MRC), National Institute for Health Research, Imperial College Healthcare NHS Trust- BRC Funding, and UK DRI Ltd
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Oncology & Carcinogenesis ,1112 Oncology And Carcinogenesis - Abstract
Background Radiofrequency electromagnetic fields (RF-EMF) from mobile phones have been classified as potentially carcinogenic. No study has investigated use of Terrestrial Trunked Radio (TETRA), a source of RF-EMF with wide occupational use, and cancer risks. Methods We investigated association of monthly personal radio use and risk of cancer using Cox proportional hazards regression among 48,518 police officers and staff of the Airwave Health Monitoring Study in Great Britain. Results During median follow-up of 5.9 years, 716 incident cancer cases were identified. Among users, the median of the average monthly duration of use in the year prior to enrolment was 30.5 min (inter-quartile range 8.1, 68.1). Overall, there was no association between personal radio use and risk of all cancers (hazard ratio [HR] = 0.98, 95% confidence interval [CI]: 0.93, 1.03). For head and neck cancers HR = 0.72 (95% CI: 0.30, 1.70) among personal radio users vs non-users, and among users it was 1.06 (95% CI: 0.91, 1.23) per doubling of minutes of personal radio use. Conclusions With the limited follow-up to date, we found no evidence of association of personal radio use with cancer risk. Continued follow-up of the cohort is warranted.
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- 2018
9. Assessment of lung cancer risk based on a biomarker panel of circulating proteins
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Guida, F, Sun, N, Bantis, L, Muller, DC, Li, P, Taguchi, A, Dhillon, D, Kundnani, D, Patel, N, Yan, Q, Byrnes, G, Moons, K, Tjonneland, A, Panico, S, Agnoli, C, Vineis, P, Palli, D, Bueno-de-Mesquita, HB, Peeters, P, Agudo, A, Huerta, J, Dorronsoro, M, Rodriguez-Barranco, M, Ardanaz, E, Travis, R, Smith Byrne, K, Boeing, H, Steffen, A, Kaaks, R, Husing, A, Trichoploulo, A, Lagiou, P, La Vecchia, C, Severi, G, Boutron-Ruault, M-C, Sandanger, T, Weiderpass, E, Nøst, T, Tsilidis, K, Riboli, E, Grankvist, K, Johansson, M, Goodman, G, Feng, Z, Brennan, P, and Hanash, S
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Science & Technology ,Oncology ,PREDICTION ,MODELS ,TUMOR-MARKER ,Integrative Analysis of Lung Cancer Etiology and Risk (INTEGRAL) Consortium for Early Detection of Lung Cancer ,Life Sciences & Biomedicine - Abstract
Importance: There is an urgent need to improve lung cancer risk assessment as current screening criteria miss a large proportion of cases. Objective: To determine if a panel of selected circulating protein biomarkers can contribute to lung cancer risk assessment and outperform current US screening criteria. Design, Setting and Participants: Pre-diagnostic samples from ever-smoking cases diagnosed within one year of blood collection and smoking-matched controls from the Carotene and Retinol Efficacy Trial (CARET) cohort were used to develop a biomarker risk-score based on 4 proteins (CA125, CEA, CYFRA 21-1 and Pro-SFTPB). The biomarker score was subsequently validated blindly using absolute risk-estimates in ever-smoking cases diagnosed within one year of blood collection and matched controls from two large European population-based cohorts; the European Prospective Investigation into Cancer and nutrition (EPIC) study and the Northern Sweden Health and Disease Study (NSHDS). Main Outcome and Measures: Model validity in discriminating between future lung cancer cases and controls. Discrimination estimates were weighted to reflect the background populations of EPIC and NSHDS validation studies (area under receiver-operating characteristics curve [AUC], sensitivity and specificity). Results: In the validation study, an integrated risk-prediction model combining smoking exposure with the biomarker score yielded an AUC of 0.83 (95% CI: 0.76-0.90) compared to 0.73 (95% CI: 0.64-0.82) for a model based on smoking exposure alone (P=0.003 for difference in AUC). At an overall specificity of 0.83 based on the USPSTF screening criteria, the sensitivity of the integrated risk-prediction model (biomarker) model was 0.63 compared to 0.43 for the smoking model. Conversely, at an overall sensitivity of 0.42 (USPSTF), the integrated risk-prediction model yielded a specificity of 0.95 compared to 0.86 for the smoking model. Conclusions and Relevance: This study provided a proof-of-principle in demonstrating that a panel of circulating protein biomarkers can improve lung cancer risk assessment and may be used to define eligibility for CT-screening.
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- 2018
10. Coffee Drinking and Mortality in 10 European Countries Response
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Gunter, MJ, Murphy, N, Muller, DC, and Riboli, E
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Science & Technology ,Medicine, General & Internal ,General & Internal Medicine ,ASSOCIATION ,11 Medical And Health Sciences ,Life Sciences & Biomedicine - Published
- 2017
11. Large-scale genome-wide screening of circulating microRNAs in clear cell renal cell carcinoma reveals specific signatures in late-stage disease
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Chanudet, E, Wozniak, MB, Bouaoun, L, Byrnes, G, Mukeriya, A, Zaridze, D, Brennan, P, Muller, DC, and Scelo, G
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circulating miRNA ,biomarker ,kidney cancer ,Oncology & Carcinogenesis ,1112 Oncology And Carcinogenesis - Abstract
Circulating miRNAs have shown great promises as noninvasive diagnostic and predictive biomarkers in several solid tumors. While the miRNA profiles of renal tumors have been extensively explored, knowledge of their circulating counterparts is limited. Our study aimed to provide a large-scale genome-wide profiling of plasma circulating miRNA in clear-cell renal cell carcinoma (ccRCC). Plasma samples from 94 ccRCC cases and 100 controls were screened for 754 circulating micro-RNAs (miRNA) by TaqMan arrays. Analyses including known risk factors for renal cancer—namely, age, sex, hypertension, obesity, diabetes, tobacco smoking and alcohol consumption—highlighted that circulating miRNA profiles were tightly correlated with the stage of the disease. Advanced tumors, characterized as stage III and IV, were associated with specific miRNA signatures that significantly differ from both controls and earlier stage ccRCC cases. Molecular pathway enrichment analyses of their gene targets showed high similarities with alterations observed in renal tumors. Plasma circulating levels of miR-150 were significantly associated with RCC-specific survival and could marginally improve the predictive accuracy of clinical parameters in our series, including age at diagnosis, sex and conventional staging. In summary, our results suggest that circulating miRNAs may provide insights into renal cell carcinoma progression.
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- 2017
12. Vitamin A and E intakes and plasma concentrations of retinol, β-carotene, and α-tocopherol in men and women of the Baltimore Longitudinal Study of Aging
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Hallfrisch, J, primary, Muller, DC, additional, and Singh, VN, additional
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- 1994
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13. High plasma vitamin C associated with high plasma HDL- and HDL2 cholesterol
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Hallfrisch, J, primary, Singh, VN, additional, Muller, DC, additional, Baldwin, H, additional, Bannon, ME, additional, and Andres, R, additional
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- 1994
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14. Effects of high-dose isoflavones on metabolic and inflammatory markers in healthy postmenopausal women.
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Charles C, Yuskavage J, Carlson O, John M, Tagalicud AS, Maggio M, Muller DC, Egan J, Basaria S, Charles, Cornelia, Yuskavage, Julia, Carlson, Olga, John, Majnu, Tagalicud, Arlene S, Maggio, Marcello, Muller, Denis C, Egan, Josephine, and Basaria, Shehzad
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- 2009
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15. The relation of fasting and 2-h postchallenge plasma glucose concentrations to mortality: data from the Baltimore Longitudinal Study of Aging with a critical review of the literature.
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Sorkin JD, Muller DC, Fleg JL, Andres R, Sorkin, John D, Muller, Denis C, Fleg, Jerome L, and Andres, Reubin
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Objective: Under the auspices of the National Institutes of Health, American Diabetes Association, and World Health Organization, expert committees lowered the fasting plasma glucose (FPG) concentration diagnostic for diabetes from 7.8 to 7.0 mmol/l and defined 6.1-6.9 mmol/l as impaired fasting glucose (IFG) and <6.1 mmol/l as normal fasting glucose. In 2003, IFG was lowered to 5.6-6.9 mmol/l and normal fasting glucose to <5.6 mmol/l. Reports of the relationship between glucose concentration and all-cause mortality have been inconsistent. It is not known if the 2-h plasma glucose (2hPG) concentration from an oral glucose tolerance test (OGTT) adds to the predictive power of FPG.Research Design and Methods: We followed 1,236 men for an average of 13.4 years to determine the relationship between both FPG and 2hPG and all-cause mortality.Results: Risk for mortality did not increase until the FPG exceeded 6.1 mmol/l. Risk increased by approximately 40% in the 6.1-6.9 mmol/l range and doubled when FPG ranged from 7.0 to 7.7 mmol/l. A combination of the 2hPG and FPG allowed better estimation of risk than the FPG alone. Within any category of FPG, risk generally increased as the 2hPG increased, and within any category of 2hPG, risk generally increased as the FPG increased.Conclusions: These data support the decision to lower the FPG diagnostic for diabetes from 7.8 to 7.0 mmol/l, show that both IFG and impaired glucose tolerance have risks between the normal and diabetic ranges, and show that the OGTT adds predictive power to that of FPG alone and should not be abandoned. The lowering of IFG to 5.6 mmol/l from 6.1 mmol/l, at least for mortality, is, however, not supported by our results. [ABSTRACT FROM AUTHOR]- Published
- 2005
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16. Long-term effects of change in body weight on all-cause mortality. A review.
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Andres R, Muller DC, Sorkin JD, Andres, R, Muller, D C, and Sorkin, J D
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Objective: To summarize published studies analyzing the effects of long-term change in body weight on all-cause mortality and have not been reported elsewhere in these proceedings.Data Sources: Thirteen reports from 11 diverse population studies, 7 from the United States and 4 from Europe.Study Selection: All studies included a weight change period of 4 or more years, followed by a mortality assessment period of 8 or more years. All weight changes occurred in persons 17 years or older.Data Extraction: Data from individual studies are presented as number of participants, number of deaths, ages at initial and final weight measurements, duration of the mortality follow-up period, consideration of cigarette smoking and other potential confounders, exclusion criteria, temporal separation between the weight change and mortality follow-up periods, and the association between weight change and all-cause mortality.Data Synthesis: Results are summarized by weight change associated with the lowest mortality rate and by the effects of long-term weight loss on mortality rate.Conclusions: Despite the diversity of the populations studied, the degree of "clinical clean-up" at entry, the techniques used to assess weight change, and the differences in analytic techniques (including consideration of potentially confounding variables), certain conclusions may be drawn. Evidence suggests that the highest mortality rates occur in adults who either have lost weight or have gained excessive weight. The lowest mortality rates are generally associated with modest weight gains. [ABSTRACT FROM AUTHOR]- Published
- 1993
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17. Predictors of progression from impaired glucose tolerance to NIDDM: an analysis of six prospective studies.
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Edelstein SL, Knowler WC, Bain RP, Andres R, Barrett-Connor EL, Dowse GK, Haffner SM, Pettitt DJ, Sorkin JD, Muller DC, Collins VR, Hamman RF, Edelstein, S L, Knowler, W C, Bain, R P, Andres, R, Barrett-Connor, E L, Dowse, G K, Haffner, S M, and Pettitt, D J
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- 1997
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18. Vitamin A and E intakes and plasma concentrations of retinol, beta-carotene, and alpha-tocopherol in men and women of the Baltimore Longitudinal Study of Aging.
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Hallfrisch J, Muller DC, and Singh VN
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Antioxidants have been linked to protection against degenerative diseases associated with aging. Plasma concentrations were determined for and 7-d diet records collected from 200 women and 231 men aged 20-95 y who took part in the Baltimore Longitudinal Study of Aging. Men consumed more vitamin A from animal and less from vegetable sources than did women. These sex differences are reflected in plasma concentrations of retinol and beta-carotene. About 20% of subjects had vitamin A intakes less than recommended dietary allowances; however, no men and only two women had marginal plasma retinol (< 0.35 mumol/L) concentrations. Older people had higher plasma alpha-tocopherol, which correlated with total intake. Forty-two men and 35 women had plasma alpha-tocopherol concentrations that were considered marginal. Sex differences in sources of dietary and plasma vitamin A may have consequences in relation to aging and longevity. Apparent marginal intakes and plasma concentrations of vitamin E need to be further examined to determine effects on health status. [ABSTRACT FROM AUTHOR]
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- 1994
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19. Untersuchungen zur photometrischen Lysinbestimmung mit Furfural in Futtermitteln
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Muller, Dc, Nitzschker, Dc, Lengerken, J. v., and Kreienbring, F.
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- 1988
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20. Studies in the distribution of body fat: I. Effects of age, sex, and obesity
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Shimokata, H, primary, Tobin, JD, additional, Muller, DC, additional, Elahi, D, additional, Coon, PJ, additional, and Andres, R, additional
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- 1989
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21. Circulating 25-hydroxyvitamin D3 in relation to renal cell carcinoma incidence and survival in the EPIC cohort
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Carlos González, Per Magne Ueland, Domenico Palli, Anne Tjønneland, Laure Dossus, Marie-Christine Boutron-Ruault, Petra H.M. Peeters, Mattias Johansson, Kay-Tee Khaw, Salvatore Panico, H. Bas Bueno-de-Mesquita, Anja Olsen, Maria Wennberg, Börje Ljungberg, Miren Dorronsoro, Tilman Kühn, Dimitrios Trichopoulos, Elio Riboli, Elisabete Weiderpass, Anouar Fanidi, Ruth C. Travis, Heiner Boeing, Annika Steffen, Paul Brennan, Nicholas J. Wareham, Neil Murphy, Rosario Tumino, Maria Giotaki, Antonia Trichopoulou, Verena Katzke, Aurelio Barricarte, Gianluca Severi, Paolo Vineis, David C. Muller, Øivind Midttun, Vittorio Krogh, María José Sánchez, Ramón Alonso De La Torre, Carmen Santiuste, Muller, Dc, Fanidi, A, Midttun, O, Steffen, A, Dossus, L, Boutron Ruault, Mc, Severi, G, K?hn, T, Katzke, V, de la Torre, Ra, Gonz?lez, Ca, S?nchez, Mj, Dorronsoro, M, Santiuste, C, Barricarte, A, Khaw, Kt, Wareham, N, Travis, Rc, Trichopoulou, A, Giotaki, M, Trichopoulos, D, Palli, D, Krogh, V, Tumino, R, Vineis, P, Panico, Salvatore, Tj?nneland, A, Olsen, A, Bueno de Mesquita, Hb, Peeters, Ph, Ljungberg, B, Wennberg, M, Weiderpass, E, Murphy, N, Riboli, E, Ueland, Pm, Boeing, H, Brennan, P, and Johansson, M.
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Male ,medicine.medical_specialty ,Alcohol Drinking ,Epidemiology ,urologic and male genital diseases ,Gastroenterology ,White People ,Body Mass Index ,Sex Factors ,Risk Factors ,Internal medicine ,medicine ,Odds Ratio ,Humans ,Prospective Studies ,Prospective cohort study ,Carcinoma, Renal Cell ,Survival analysis ,Aged ,Calcifediol ,Proportional Hazards Models ,Proportional hazards model ,business.industry ,Incidence ,Smoking ,Age Factors ,Odds ratio ,Middle Aged ,Confidence interval ,European Prospective Investigation into Cancer and Nutrition ,Endocrinology ,Logistic Models ,Nested case-control study ,Female ,business ,Body mass index - Abstract
Normal renal function is essential for vitamin D metabolism, but it is unclear whether circulating vitamin D is associated with risk of renal cell carcinoma (RCC). We assessed whether 25-hydroxyvitamin D3 (25(OH)D3) was associated with risk of RCC and death after RCC diagnosis in the European Prospective Investigation into Cancer and Nutrition (EPIC). EPIC recruited 385,747 participants with blood samples between 1992 and 2000. The current study included 560 RCC cases, 557 individually matched controls, and 553 additional controls. Circulating 25(OH)D3 was assessed by mass spectrometry. Conditional and unconditional logistic regression models were used to calculate odds ratios and 95% confidence intervals. Death after RCC diagnosis was assessed using Cox proportional hazards models and flexible parametric survival models. A doubling of 25(OH)D3 was associated with 28% lower odds of RCC after adjustment for season of and age at blood collection, sex, and country of recruitment (odds ratio = 0.72, 95% confidence interval: 0.60, 0.86; P = 0.0004). This estimate was attenuated somewhat after additional adjustment for smoking status at baseline, circulating cotinine, body mass index (weight (kg)/height (m)(2)), and alcohol intake (odds ratio = 0.82, 95% confidence interval: 0.68, 0.99; P = 0.038). There was also some indication that both low and high 25(OH)D3 levels were associated with higher risk of death from any cause among RCC cases.
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- 2016
22. Diet quality scores and prediction of all-cause, cardiovascular and cancer mortality in a pan-european cohort study
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Lassale, Camille, Gunter, Marc J., Romaguera, Dora, Peelen, Linda M., Van der Schouw, Yvonne T., Beulens, Joline W. J., Freisling, Heinz, Muller, David C., Ferrari, Pietro, Huybrechts, Inge, Fagherazzi, Guy, Boutron-Ruault, Marie-Christine, Affret, Aurelie, Overvad, Kim, Dahm, Christina C., Olsen, Anja, Roswall, Nina, Tsilidis, Konstantinos K., Katzke, Verena A., Kuehn, Tilman, Buijsse, Brian, Quiros, Jose-Ramon, Sanchez-Cantalejo, Emilio, Etxezarreta, Nerea, Maria Huerta, Jose, Barricarte, Aurelio, Bonet, Catalina, Khaw, Kay-Tee, Key, Timothy J., Trichopoulou, Antonia, Bamia, Christina, Lagiou, Pagona, Palli, Domenico, Agnoli, Claudia, Tumino, Rosario, Fasanelli, Francesca, Panico, Salvatore, Bueno-de-Mesquita, H. Bas, Boer, Jolanda M. A., Sonestedt, Emily, Nilsson, Lena Maria, Renstrom, Frida, Weiderpass, Elisabete, Skeie, Guri, Lund, Eiliv, Moons, Karel G. M., Riboli, Elio, Tzoulaki, Ioanna, Khaw, Kay-Tee [0000-0002-8802-2903], Apollo - University of Cambridge Repository, Epidemiology and Data Science, EMGO - Lifestyle, overweight and diabetes, Lassale, Camille, Gunter, Marc J, Romaguera, Dora, Peelen, Linda M, Van der Schouw, Yvonne T, Beulens, Joline W. J, Freisling, Heinz, Muller, David C, Ferrari, Pietro, Huybrechts, Inge, Fagherazzi, Guy, Boutron Ruault, Marie Christine, Affret, Aurélie, Overvad, Kim, Dahm, Christina C, Olsen, Anja, Roswall, Nina, Tsilidis, Konstantinos K, Katzke, Verena A, Kühn, Tilman, Buijsse, Brian, Quirós, José Ramón, Sánchez Cantalejo, Emilio, Etxezarreta, Nerea, Huerta, José María, Barricarte, Aurelio, Bonet, Catalina, Khaw, Kay Tee, Key, Timothy J, Trichopoulou, Antonia, Bamia, Christina, Lagiou, Pagona, Palli, Domenico, Agnoli, Claudia, Tumino, Rosario, Fasanelli, Francesca, Panico, Salvatore, Bueno de Mesquita, H. Ba, Boer, Jolanda M. A, Sonestedt, Emily, Nilsson, Lena Maria, Renström, Frida, Weiderpass, Elisabete, Skeie, Guri, Lund, Eiliv, Moons, Karel G. M, Riboli, Elio, Tzoulaki, Ioanna, [Lassale,C, Gunter,MJ, Romaguera,D, Tsilidis,KK, Riboli,E, Tzoulaki,I] Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom. [Romaguera,D] Instituto de Investigación Sanitaria de Palma (IdISPa), Palma de Mallorca, Spain. [Romaguera,D, Quirós,J, Sánchez-Cantalejo,E, Etxezarreta,N, Huerta,JM, Barricarte,A, Bonet,C] CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain. [Peelen,LM, Schouw,ITV, Beulens,JWJ, Moons,KGM] Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands.[Freisling,H, Muller,DC, Ferrari,P, Huybrechts,I] International Agency for Research on Cancer, Lyon, France. [Fagherazz,G, Boutron-Ruault,M, Affret,A] Institut National de la Santé et de la Recherche Médicale, Center for Research in Epidemiology and Population, Health, Villejuif, France. Institut Gustave Roussy, Villejuif, France. Paris South University, Unité Mixte de Recherche, Villejuif, France. [Overvad,K, Dahm,CC] Section for Epidemiology, Department of Public Health, Aarhus University, Aarhus, Denmark. [Olsen,A, Roswall,N] Danish Cancer Society, Institute of Cancer Epidemiology, Copenhagen, Denmark. [Tsilidis,KK] German Cancer Research Center (DKFZ), Division of Cancer Epidemiology, Heidelberg, Germany. [Katzke,VA, Kühn,T] Deutsches Institut für Ernährungsforschung Potsdam-Rehbrücke German Institute of Human Nutrition, Potsdam, Germany. [Buijsse,B] Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece. [Quirós,R] Public Health Directorate, Asturias, Oviedo, Spain. [Sánchez-Cantalejo,E] Andalusian School of Public Health, Granada, Spain. [Etxezarreta,N] Public Health Direction and Biodonostia Basque Regional Health Department, San Sebastian, Spain. [Huerta,JM] Department of Epidemiology, Murcia Regional Health Council, Murcia, Spain. [Barricarte,A] Navarre Public Health Institute, Pamplona, Spain. [Bonet,C] Unit of Nutrition, Environment and Cancer, Catalan Institute of Oncology, Barcelona, Spain. [Khaw,K] University of Cambridge School of Clinical Medicine, Clinical Gerontology Unit, Cambridge, United Kingdom. [Key,J] Cancer Epidemiology Unit, Nuffield Department of Clinical Medicine, University of Oxford, United Kingdom. [Trichopoulou,A, Bamia,C, Lagiou,P] Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece. Hellenic Health Foundation, Athens, Greece. [Palli,D] Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute—ISPO, Florence, Italy. [Agnoli,C] Epidemiology and Prevention Unit, Department of Preventive and Predictive Medicine, Foundation of the Carlo Besta Neurological Institute, Milan, Italy. [Tumino,R] Cancer Registry and Histopathology Unit, 'Civic MP Arezzo' Hospital, Ragusa, Italy. [Fasanelli,F] Human Genetics Foundation, Turin, Italy. [Bueno-de-Mesquita,HB, Boer,JMA] Center for Nutrition, Prevention and Health Services, National Institute for Public Health and the Environment, Bilthoven, Netherlands. [Sonestedt,E] Department of Clinical Sciences in Malmö, Lund University, Lund, Sweden. [Nilsson,LM, Renström,F] Department of Public Health and Clinical Medicine, Nutritional Research, Umeå University, Umeå, Sweden. [Weiderpass,E, Skeie,G, Lund,E] Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway. [Weiderpass,E] Department of Research, Cancer Registry of Norway, Oslo, Norway. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. Genetic Epidemiology Group, Folkhälsan Research Center, Helsinki, Finland., Funding: The coordination of EPIC is financially supported by the European Commission (DGSANCO) and the International Agency for Research on Cancer. The national cohorts are supported by Danish Cancer Society (Denmark), Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Générale de l’Education Nationale, Institut National de la Santé et de la Recherche Médicale (INSERM) (France), German Cancer Aid, German Cancer Research Center (DKFZ), Federal Ministry of Education and Research (BMBF), Deutsche Krebshilfe, Deutsches Krebsforschungszentrum and Federal Ministry of Education and Research (Germany), the Hellenic Health Foundation (Greece), Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy and National Research Council (Italy), Dutch Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands), Health Research Fund (FIS), PI13/00061 to Granada, Regional Governments of Andalucía, Asturias, Basque Country, Murcia (no. 6236) and Navarra, ISCIII RETIC (RD06/0020) (Spain), Swedish Cancer Society, Swedish Research Council and County Councils of Skåne and Västerbotten (Sweden), Cancer Research UK (14136 to EPIC-Norfolk, and C570/ A16491 and C8221/A19170 to EPIC-Oxford), Medical Research Council (1000143 to EPIC-Norfolk, MR/ M012190/1 to EPIC-Oxford) (United Kingdom).
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Male ,humanos ,Phenomena and Processes::Physiological Phenomena::Body Constitution::Body Weights and Measures::Body Mass Index [Medical Subject Headings] ,Social Sciences ,Índice de masa corporal ,Global Health ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Probability::Risk::Risk Factors [Medical Subject Headings] ,Cohort Studies ,distribución por sexos ,Mathematical and Statistical Techniques ,Sociology ,Risk Factors ,Neoplasms ,Medicine and Health Sciences ,Phenomena and Processes::Musculoskeletal and Neural Physiological Phenomena::Musculoskeletal Physiological Phenomena::Musculoskeletal Physiological Processes::Movement::Motor Activity [Medical Subject Headings] ,Public and Occupational Health ,Phenomena and Processes::Physiological Phenomena::Nutritional Physiological Phenomena::Nutritional Status [Medical Subject Headings] ,Estado Nutricional ,estudios de cohortes ,mediana edad ,Factores de Riesgo ,neoplasias ,Medicine(all) ,Nutrition and Dietetics ,VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801 ,Agricultural and Biological Sciences(all) ,dieta ,Agriculture ,Public Health, Global Health, Social Medicine and Epidemiology ,Estudios Prospectivos ,Plants ,Diseases::Neoplasms [Medical Subject Headings] ,Middle Aged ,Neoplasias ,Näringslära ,Cardiovascular Diseases ,Hábitos alimenticios ,estilo de vida ,Physical Sciences ,Medicine ,Dieta ,Female ,Statistics (Mathematics) ,Research Article ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies::Longitudinal Studies::Prospective Studies [Medical Subject Headings] ,General Science & Technology ,Science ,Estudios de cohortes ,European Continental Ancestry Group ,Psychiatry and Psychology::Behavior and Behavior Mechanisms::Behavior::Habits::Smoking [Medical Subject Headings] ,enfermedades cardiovasculares ,Crops ,Phenomena and Processes::Physiological Phenomena::Nutritional Physiological Phenomena::Diet [Medical Subject Headings] ,Research and Analysis Methods ,White People ,Education ,Fruits ,Age Distribution ,distribución por edades ,SDG 3 - Good Health and Well-being ,MD Multidisciplinary ,Anatomy::Cardiovascular System [Medical Subject Headings] ,Journal Article ,factores de riesgo ,Humans ,Statistical Methods ,Sex Distribution ,Life Style ,Educational Attainment ,Nutrition ,Sistema cardiovascular ,Biochemistry, Genetics and Molecular Biology(all) ,Organisms ,Biology and Life Sciences ,Physical Activity ,Nutrients ,Actividad motora ,Psychiatry and Psychology::Behavior and Behavior Mechanisms::Behavior::Feeding Behavior::Food Habits [Medical Subject Headings] ,Diet ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies [Medical Subject Headings] ,Hábito de Fumar ,VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801 ,grupo de ascendencia continental europea ,Mathematics ,Forecasting ,Crop Science - Abstract
Scores of overall diet quality have received increasing attention in relation to disease aetiology; however, their value in risk prediction has been little examined. The objective was to assess and compare the association and predictive performance of 10 diet quality scores on 10-year risk of all-cause, CVD and cancer mortality in 451,256 healthy participants to the European Prospective Investigation into Cancer and Nutrition, followed-up for a median of 12.8y. All dietary scores studied showed significant inverse associations with all outcomes. The range of HRs (95% CI) in the top vs. lowest quartile of dietary scores in a composite model including non-invasive factors (age, sex, smoking, body mass index, education, physical activity and study centre) was 0.75 (0.72-0.79) to 0.88 (0.84-0.92) for all-cause, 0.76 (0.69-0.83) to 0.84 (0.76-0.92) for CVD and 0.78 (0.73-0.83) to 0.91 (0.85-0.97) for cancer mortality. Models with dietary scores alone showed low discrimination, but composite models also including age, sex and other non-invasive factors showed good discrimination and calibration, which varied little between different diet scores examined. Mean C-statistic of full models was 0.73, 0.80 and 0.71 for all-cause, CVD and cancer mortality. Dietary scores have poor predictive performance for 10-year mortality risk when used in isolation but display good predictive ability in combination with other non-invasive common risk factors., The coordination of EPIC is financially supported by the European Commission (D-GSANCO) and the International Agency for Research on Cancer. The national cohorts are supported by Danish Cancer Society (Denmark); Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Generale de l'Education Nationale, Institut National de la Sante et de la Recherche Medicale (INSERM) (France); German Cancer Aid, German Cancer Research Center (DKFZ), Federal Ministry of Education and Research (BMBF), Deutsche Krebshilfe, Deutsches Krebsforschungszentrum and Federal Ministry of Education and Research (Germany); the Hellenic Health Foundation (Greece); Associazione Italiana per la Ricerca sul Cancro-AIRC- Italy and National Research Council (Italy); Dutch Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands); Health Research Fund (FIS), PI13/00061 to Granada, Regional Governments of Andalucia, Asturias, Basque Country, Murcia (no. 6236) and Navarra, ISCIII RETIC (RD06/0020) (Spain); Swedish Cancer Society, Swedish Research Council and County Councils of Skane and Vasterbotten (Sweden); Cancer Research UK (14136 to EPIC-Norfolk; C570/A16491 and C8221/A19170 to EPIC-Oxford), Medical Research Council (1000143 to EPIC-Norfolk, MR/M012190/1 to EPIC-Oxford) (United Kingdom).
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- 2016
23. Modifiable causes of premature death in middle-age in Western Europe : Results from the EPIC cohort study
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Marc J. Gunter, Ellen A. Struijk, Paul Brennan, Paolo Vineis, Christina Bamia, Guri Skeie, David C. Muller, M. Luisa Redondo, Cornelia Weikert, Salvatore Panico, Elena Molina-Portillo, Antonio Agudo, Rosario Tumino, Françoise Clavel, W M Monique Verschuren, Petra H.M. Peeters, Olle Melander, Jone M. Altzibar, Heiner Boeing, H. Bas Bueno-de-Mesquita, Ruth C. Travis, Elisabete Weiderpass, Gunnar Engström, Malin Sund, Teresa Norat, Anne Tjønneland, Manuela M. Bergmann, Philippos Orfanos, Laureen Dartois, Nicholas J. Wareham, Mattias Johansson, Elio Riboli, Kuanrong Li, Kay-Tee Khaw, Neil Murphy, Eiliv Lund, Antonia Trichopoulou, Marie-Christine Boutron-Ruault, Domenico Palli, Rudolf Kaaks, Konstantinos K. Tsilidis, Lluís Cirera, Pietro Ferrari, Valeria Pala, Timothy J. Key, Kim Overvad, Eva Ardanaz, Muller, David C, Murphy, Neil, Johansson, Mattia, Ferrari, Pietro, Tsilidis, Konstantinos K, Boutron Ruault, Marie Christine, Clavel, Francoise, Dartois, Laureen, Li, Kuanrong, Kaaks, Rudolf, Weikert, Cornelia, Bergmann, Manuela, Boeing, Heiner, Tjønneland, Anne, Overvad, Kim, Redondo, M. Luisa, Agudo, Antonio, Molina Portillo, Elena, Altzibar, Jone M, Cirera, Lluí, Ardanaz, Eva, Khaw, Kay Tee, Wareham, Nicholas J, Key, Timothy J, Travis, Ruth C, Bamia, Christina, Orfanos, Philippo, Trichopoulou, Antonia, Palli, Domenico, Pala, Valeria, Tumino, Rosario, Vineis, Paolo, Panico, Salvatore, Bueno de Mesquita, H. Ba, Verschuren, W. M. Monique, Struijk, Ellen A, Peeters, Petra H, Engström, Gunnar, Melander, Olle, Sund, Malin, Weiderpass, Elisabete, Skeie, Guri, Lund, Eiliv, Norat, Teresa, Gunter, Marc, Riboli, Elio, Brennan, Paul, [Muller,DC, Johansson,M, Ferrari,P, Brennan,P] International Agency for Research on Cancer, Lyon, France. [Murphy,N, Vineis,P, Bueno-de-Mesquita,HB, Peeters,PH, Norat,T, Gunter,M, Riboli,E] School of Public Health, Imperial College London, London, UK] [Tsilidis,KK] Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece. Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, UK. [Boutron-Ruault,M] Centre for Research in Epidemiology and Population Health (CESP), Villejuif, France. [Boutron-Ruault,M, Clavel,F, Dartois,L] Université Paris Sud, Villejuif, France. [Boutron-Ruault,M, Dartois,L, Dartois,L] Inserm, Centre for Research in Epidemiology and Population Health (CESP), Villejuif, France. [Li,K, Kaaks,R] Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany. [Weikert,C, Bergmann,M, Boeing,H] German Institute of Human Nutrition Potsdam-Rehbrücke (DifE), Nuthetal, Germany. [Tjønneland,A] Danish Cancer Society Research Center, Copenhagen, Denmark. [Overvad,K] Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark. [Redondo,ML] Public Health Directorate, Asturias, Spain. [Agudo,A] Unit of Nutrition, Environment and Cancer, Cancer Epidemiology Research Program, Catalan Institute of Oncology, Barcelona, Spain. [Molina-Portillo,E] Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria GRANADA, Hospitales Universitarios de Granada/Universidad de Granada, Granada, Spain. [Molina-Portillo,E, Altzibar,JM, Cirera,M, Ardanaz,E] Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública-CIBERESP), Madrid, Spain. [Altzibar,JM] Public Health Division of Gipuzkoa-BIODONOSTIA, Basque Regional Health Department, Donostia - San Sebastián, Spain. [Cirera, L] Department of Epidemiology, Murcia Regional Health Council, IMIB-Arrixaca, Murcia, Spain. Department of Health and Social Sciences, Universidad de Murcia, Murcia, Spain. Department of Health and Social Sciences, Universidad de Murcia, Murcia, Spain. [Ardanaz,E] Navarra Public Health Institute, Pamplona, Spain. Navarra Institute for Health Research (IdiSNA) Pamplona, Pamplona, Spain. [Khaw,K] School of Clinical Medicine, University of Cambridge, Cambridge, UK. [Wareham,NJ] MRC Epidemiology Unit, University of Cambridge, Cambridge, UK. [Key,TJ, Travis,RC] Cancer Epidemiology Unit, University of Oxford, Oxford, UK. [Bamia,C, Orfanos,P, Trichopoulou,A] Hellenic Health Foundation, Athens, Greece. Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece. [Palli,D] Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute (ISPO), Florence, Italy. [Pala,V] Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy. [Tumino,R] Cancer Registry and Histopathology Unit, 'Civic - M. P. Arezzo' Hospital, ASP Ragusa, Ragusa, Italy. [Vineis,P] Human Genetics Foundation (HuGeF), Torino, Italy. [Panico,S] Dipartimento di Medicina Clinica e Sperimentale, Federico II University, Naples, Italy. [Bueno-de-Mesquita,HB, Verschuren,WMM] Department for Determinants of Chronic Diseases (DCD), National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands. [Bueno-de-Mesquita,HB] Department of Gastroenterology and Hepatology, University Medical Centre, Utrecht, The Netherlands. Department of Social and Preventive Medicine, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia. [Verschuren,WMM, Struijk,EA, Peeters,PH] Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands. [Engström,G] Department of Clinical Science, Malmö Lund University, Lund, Sweden. [Melander,O] Department of Clinical Sciences, Hypertension & Cardiovascular Disease, Clinical Research Centre, Malmö University Hospital, Malmö, Sweden. [Sund,M] Department of Surgical and Perioperative Sciences, Umea University, Umea, Sweden. [Weiderpass,E, Skeie,G, Lund,E] Department of Community Medicine, Faculty of Health Sciences, University of Tromsø, The Arctic University of Norway, Tromsø, Norway. [Weiderpass,E] Department of Research, Cancer Registry of Norway, Oslo, Norway. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. Samfundet Folkhälsan, Helsinki, Finland. [Skeie,G, Lund,E] The Arctic University of Norway, Tromsø, Norway., This work was supported by the French Social Affairs & Health Ministry, Department of Health (Direction Générale de la Santé). The work undertaken by David C Muller for this project was performed during the tenure of an IARC-Australia fellowship supported by Cancer Council Australia. Elio Riboli was supported by the Imperial College Biomedical Research Centre funded by the National Institute of Health Research of UK. The coordination of EPIC is financially supported by the European Commission (DG-SANCO) and the International Agency for Research on Cancer. The national cohorts are supported by Danish Cancer Society (Denmark), Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Générale de l’Education Nationale, Institut National de la Santé et de la Recherche Médicale (INSERM) (France), Deutsche Krebshilfe, Deutsches Krebsforschungszentrum and Federal Ministry of Education and Research (Germany), the Hellenic Health Foundation (Greece), Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy and National Research Council (Italy), Dutch Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands), Nordic Centre of xcellence programme on Food, Nutrition and Health. (Norway), Health Research Fund (FIS), PI13/00061 to Granada, Regional Governments of Andalucía, Asturias, Basque Country, Murcia (no. 6236) and Navarra, ISCIII RETIC (RD06/0020) (Spain), Swedish Cancer Society, Swedish Scientific Council and County Councils of Skåne and Västerbotten (Sweden), Cancer Research UK (14136 to EPIC-Norfolk, C570/A16491 to EPIC-Oxford),Medical Research Council (1000143 to EPIC-Norfolk) (United Kingdom). The sponsors did not have any input into study design, study conduct, data collection, analysis, or interpretation nor did they influence the preparation, review, or approval of the manuscript., Khaw, Kay-Tee [0000-0002-8802-2903], Wareham, Nicholas [0000-0003-1422-2993], and Apollo - University of Cambridge Repository
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Gerontology ,Male ,030204 cardiovascular system & hematology ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Statistics as Topic::Probability::Risk::Risk Factors [Medical Subject Headings] ,Cohort Studies ,Institut Gustave Roussy ,0302 clinical medicine ,Risk Factors ,Medicine ,030212 general & internal medicine ,Prospective Studies ,Diseases::Pathological Conditions, Signs and Symptoms::Signs and Symptoms::Body Weight::Overweight [Medical Subject Headings] ,Non-U.S. Gov't ,media_common ,Medicine(all) ,VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801 ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Data Collection::Vital Statistics::Mortality::Mortality, Premature [Medical Subject Headings] ,Research Support, Non-U.S. Gov't ,Smoking ,Public Health, Global Health, Social Medicine and Epidemiology ,11 Medical And Health Sciences ,General Medicine ,Middle Aged ,Europe ,Hypertension ,Absolute risk ,Modifiable risk factors ,Mortality ,Premature death ,Attributable fraction ,language ,Female ,Cohort study ,Research Article ,Adult ,medicine.medical_specialty ,Alcohol Drinking ,media_common.quotation_subject ,Psychiatry and Psychology::Behavior and Behavior Mechanisms::Behavior::Habits::Smoking [Medical Subject Headings] ,Library science ,Motor Activity ,Phenomena and Processes::Physiological Phenomena::Nutritional Physiological Phenomena::Diet [Medical Subject Headings] ,Research Support ,Danish ,03 medical and health sciences ,Diseases::Cardiovascular Diseases::Vascular Diseases::Hypertension [Medical Subject Headings] ,Life Expectancy ,Excellence ,General & Internal Medicine ,Journal Article ,Humans ,Obesity ,Aged ,business.industry ,Mortality, Premature ,Public health ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Data Collection::Vital Statistics::Life Expectancy [Medical Subject Headings] ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Physical Examination::Body Constitution::Body Weights and Measures::Waist-Hip Ratio [Medical Subject Headings] ,language.human_language ,Cancer registry ,Diseases::Nutritional and Metabolic Diseases::Nutrition Disorders::Overnutrition::Obesity [Medical Subject Headings] ,Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi ,Mortalidad ,Psychiatry and Psychology::Behavior and Behavior Mechanisms::Behavior::Drinking Behavior::Alcohol Drinking [Medical Subject Headings] ,Life expectancy ,VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801 ,business ,Welfare ,Modifiable risk factor ,Mortalidad prematura - Abstract
Background: Life expectancy is increasing in Europe, yet a substantial proportion of adults still die prematurely before the age of 70 years. We sought to estimate the joint and relative contributions of tobacco smoking, hypertension, obesity, physical inactivity, alcohol and poor diet towards risk of premature death. Methods: We analysed data from 264,906 European adults from the EPIC prospective cohort study, aged between 40 and 70 years at the time of recruitment. Flexible parametric survival models were used to model risk of death conditional on risk factors, and survival functions and attributable fractions (AF) for deaths prior to age 70 years were calculated based on the fitted models. Results: We identified 11,930 deaths which occurred before the age of 70. The AF for premature mortality for smoking was 31 % (95 % confidence interval (CI), 31–32 %) and 14 % (95 % CI, 12–16 %) for poor diet. Important contributions were also observed for overweight and obesity measured by waist-hip ratio (10 %; 95 % CI, 8–12 %) and high blood pressure (9 %; 95 % CI, 7–11 %). AFs for physical inactivity and excessive alcohol intake were 7 % and 4 %, respectively. Collectively, the AF for all six risk factors was 57 % (95 % CI, 55–59 %), being 35 % (95 % CI, 32–37 %) among never smokers and 74 % (95 % CI, 73–75 %) among current smokers. Conclusions: While smoking remains the predominant risk factor for premature death in Europe, poor diet, overweight and obesity, hypertension, physical inactivity, and excessive alcohol consumption also contribute substantially. Any attempt to minimise premature deaths will ultimately require all six factors to be addressed., This work was supported by the French Social Affairs & Health Ministry, Department of Health (Direction Générale de la Santé). The work undertaken by David C Muller for this project was performed during the tenure of an IARC-Australia fellowship supported by Cancer Council Australia. Elio Riboli was supported by the Imperial College Biomedical Research Centre funded by the National Institute of Health Research of UK. The coordination of EPIC is financially supported by the European Commission (DG-SANCO) and the International Agency for Research on Cancer. The national cohorts are supported by Danish Cancer Society (Denmark); Ligue Contre le Cancer, Institut Gustave Roussy, Mutuelle Générale de l’Education Nationale, Institut National de la Santé et de la Recherche Médicale (INSERM) (France); Deutsche Krebshilfe, Deutsches Krebsforschungszentrum and Federal Ministry of Education and Research (Germany); the Hellenic Health Foundation (Greece); Associazione Italiana per la Ricerca sul Cancro-AIRC-Italy and National Research Council (Italy); Dutch Ministry of Public Health, Welfare and Sports (VWS), Netherlands Cancer Registry (NKR), LK Research Funds, Dutch Prevention Funds, Dutch ZON (Zorg Onderzoek Nederland), World Cancer Research Fund (WCRF), Statistics Netherlands (The Netherlands); Nordic Centre of Excellence programme on Food, Nutrition and Health. (Norway); Health Research Fund (FIS), PI13/00061 to Granada, Regional Governments of Andalucía, Asturias, Basque Country, Murcia (no. 6236) and Navarra, ISCIII RETIC (RD06/0020) (Spain); Swedish Cancer Society, Swedish Scientific Council and County Councils of Skåne and Västerbotten (Sweden); Cancer Research UK (14136 to EPIC-Norfolk; C570/A16491 to EPIC-Oxford), Medical Research Council (1000143 to EPIC-Norfolk) (United Kingdom). The sponsors did not have any input into study design, study conduct, data collection, analysis, or interpretation nor did they influence the preparation, review, or approval of the manuscript.
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- 2016
24. Lifetime alcohol use and overall and cause-specific mortality in the European Prospective Investigation into Cancer and nutrition (EPIC) study
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Vasiliki Benetou, Isabelle Romieu, Antonia Trichopoulou, Teresa Norat, Joline W.J. Beulens, Kim Overvad, Larraitz Arriola, Elisabete Weiderpass, Eric J. Duell, Aurelio Barricarte, Paul Brennan, Anne Tjønneland, Peter Wallström, Rosario Tumino, Mattias Johansson, Guy Fagherazzi, Laure Dossus, Petra H.M. Peeters, Marc J. Gunter, Dimitrios Trichopoulos, David C. Muller, Carlotta Sacerdote, Laureen Dartois, Elio Riboli, Nicholas J. Wareham, Pietro Ferrari, Claudia Agnoli, Idlir Licaj, Anja Olsen, Esther Molina-Montes, Domenico Palli, Per Kragh Andersen, Kathryn E. Bradbury, Kuanrong Li, Heiner Boeing, Luciana Neves Nunes, Rudolf Kaaks, Carmen Navarro Sánchez, Kay-Tee Khaw, [Ferrari,P, Licaj,I, Muller,DC, Johansson,M, Nunes,L, Brennan,P, Romieu,I] International Agency for Research on Cancer, Lyon, France. [Andersen,PK] Department of Biostatistics, University of Copenhagen, Copenhagen, Denmark. [Boeing,H] Potsdam-Rehbrücke Department of Epidemiology, German Institute of Human Nutrition, Nuthetal, Germany. [Weiderpass,E] Department of Community Medicine, Faculty of Health Sciences, University of Tromso, The Arctic University of Norway, Tromsø, Norway. Department of Research, Cancer Registry of Norway, Oslo, Norway. Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. Samfundet Folkhälsan, Helsinki, Finland. [Dossus,L, Dartois,L, Fagherazzi,G] Inserm, Centre for research in Epidemiology and Population Health (CESP), U1018, Nutrition, Hormones and Women’s Health team, Villejuif, France. Université Paris Sud, UMRS 1018, Villejuif, France. IGR, Villejuif, France. [Bradbury,KE] Cancer Epidemiology Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK. [Khaw,K] Department of Public Health and Primary Care, University of Cambridge Addenbrooke’s Hospital, Cambridge, UK. [Wareham,N] Medical Research Council Epidemiology Unit, Institute of Metabolic Science, Addenbrooke’s Hospital, Cambridge, UK. [Duell,EJ] Unit of Nutrition, Cancer Epidemiology Research Program, Environment and Cancer, Bellvitge Biomedical Research Institute (IDIBELL), Catalan Institute of Oncology (ICO), Barcelona, Spain. [Barricarte,A] Navarre Public Health Institute, Pamplona, Spain. [Barricarte,A, Arriola,L] Consortium for Biomedical Research in Epidemiology and Public Health (CIBER Epidemiología y Salud Pública-CIBERESP), Murcia, Spain. [Molina-Montes,E] Escuela Andaluza de Salud Pública, Instituto de Investigación Biosanitaria de Granada, Granada, Spain. [Molina-Montes,E, Navarro,C] CIBER Epidemiología y Salud Pública (CIBERESP), Spain. [Navarro,C] Department of Epidemiology, Murcia Regional Health Council, Murcia, Spain. Department of Health and Social Sciences, Universidad de Murcia, Murcia, Spain. [Arriola,L] Public Health Division of Gipuzkoa, Instituto BIO-Donostia, Basque Government, Spain. [Wallström,P] Nutrition Epidemiology Research Group, Department of Clinical Sciences, Lund University, Malmö, Sweden. [Tjønneland,A, Olsen,A] Danish Cancer Society Research Center, Copenhagen, Denmark. [Trichopoulou,A, Benetou,V] Department of Hygiene, Epidemiology and Medical Statistics, WHO Collaborating Center for Food and Nutrition Policies, University of Athens Medical School, Athens, Greece.[Trichopoulou,A, Trichopoulos,D] Hellenic Health Foundation, Athens, Greece. [Trichopoulos,D] Department of Epidemiology, Harvard School of Public Health, Boston, Massachusetts, USA. Bureau of Epidemiologic Research, Academy of Athens, Athens, Greece. [Tumino,R] Cancer Registry and Histopathology Unit, 'Civic-MP Arezzo' Hospital, ASP Ragusa, Italy. [Agnoli,C] Epidemiology and Prevention Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy. [Sacerdote,C] Unit of Cancer Epidemiology, AO Citta’ della Salute e della Scienza-University of Turin and Center for Cancer Prevention (CPO-Piemonte), Turin, Italy. Human Genetics Foundation (HuGeF), Turin, Italy. [Palli,D] Molecular and Nutritional Epidemiology Unit, Cancer Research and Prevention Institute—ISPO, Florence, Italy. [Li,K, Kaaks,R] Department of Cancer Epidemiology, German Cancer Research Centre, Heidelberg, Germany. [Peeters,P, Beulens,JW] Department of Epidemiology, Julius Center for Health Sciences and Primary Care, University Medical Center, Utrecht, The Netherlands. [Nunes,L] Department of Statistics, Federal University of Rio Grande do Sul, Porto Alegre, Brazil. [Gunter,M, Norat,T, Norat,E] Department of Epidemiology & Biostatistics, School of Public Health, Imperial College London, London, UK. [Overvad,K] Department of Public Health, Section for Epidemiology, Aarhus University, Aarhus, Denmark. Department of Cardiology, Aalborg University Hospital, Aalborg, Denmark., Funding This work was supported by the Direction Générale de la Santé (French Ministry of Health) (Grant GR-IARC-2003-09-12-01), by the European Commission (Directorate General for Health and Consumer Affairs) and the International Agency for Research on Cancer. The national cohorts are supported by the Danish Cancer Society (Denmark), the Ligue Contre le Cancer, the Institut Gustave Roussy, the Mutuelle Générale de l’Education Nationale and the Institut National de la Santé et de la Recherche Médicale (France), the Deutsche Krebshilfe, the Deutsches Krebsforschungszentrum, and the Federal Ministry of Education and Research (Germany), the Hellenic Health Foundation, the Stavros Niarchos Foundation and the Hellenic Ministry of Health and Social Solidarity (Greece), the Italian Association for Research on Cancer and the National Research Council (Italy), the Dutch Ministry of Public Health, Welfare and Sports, the Netherlands Cancer Registry, LK, Epidemiology and Data Science, ACS - Diabetes & metabolism, ACS - Heart failure & arrhythmias, and APH - Health Behaviors & Chronic Diseases
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Gerontology ,Male ,Time Factors ,Etanol ,Disease ,DISEASE ,Cause of Death ,Neoplasms ,Epidemiology ,VDP::Medical disciplines: 700::Health sciences: 800::Health service and health administration research: 806 ,EPIDEMIOLOGY ,Phenomena and Processes::Physiological Phenomena::Nutritional Physiological Phenomena::Nutritional Status [Medical Subject Headings] ,Prospective Studies ,Estado Nutricional ,Stroke ,Nutrition and Dietetics ,VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801 ,Absolute risk reduction ,Geographicals::Geographic Locations::Europe [Medical Subject Headings] ,Estudios Prospectivos ,General Medicine ,Diseases::Neoplasms [Medical Subject Headings] ,Middle Aged ,Consumo de bebidas alcohólicas ,COMPETING RISKS ,Neoplasias ,FRACTIONAL POLYNOMIALS ,3. Good health ,European Prospective Investigation into Cancer and Nutrition ,Europe ,RATE ADVANCEMENT PERIODS ,Cardiovascular Diseases ,Cohort ,Female ,Europa ,Life Sciences & Biomedicine ,Adult ,medicine.medical_specialty ,Alcohol Drinking ,MODELS ,Cardiology ,Risk Assessment ,Medicine, General & Internal ,Diabetes mellitus ,General & Internal Medicine ,medicine ,Humans ,METAANALYSIS ,Aged ,VDP::Medisinske Fag: 700::Helsefag: 800::Helsetjeneste- og helseadministrasjonsforskning: 806 ,Science & Technology ,Nutrition & Dietetics ,business.industry ,Research ,CONSUMPTION ,ADULTS ,GLOBAL BURDEN ,medicine.disease ,Chemicals and Drugs::Organic Chemicals::Alcohols::Ethanol [Medical Subject Headings] ,Psychiatry and Psychology::Behavior and Behavior Mechanisms::Behavior::Drinking Behavior::Alcohol Drinking [Medical Subject Headings] ,VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801 ,business ,Demography - Abstract
OBJECTIVES: To investigate the role of factors that modulate the association between alcohol and mortality, and to provide estimates of absolute risk of death.DESIGN: The European Prospective Investigation into Cancer and nutrition (EPIC).SETTING: 23 centres in 10 countries.PARTICIPANTS: 380 395 men and women, free of cancer, diabetes, heart attack or stroke at enrolment, followed up for 12.6 years on average.MAIN OUTCOME MEASURES: 20 453 fatal events, of which 2053 alcohol-related cancers (ARC, including cancers of upper aerodigestive tract, liver, colorectal and female breast), 4187 cardiovascular diseases/coronary heart disease (CVD/CHD), 856 violent deaths and injuries. Lifetime alcohol use was assessed at recruitment.RESULTS: HRs comparing extreme drinkers (≥30 g/day in women and ≥60 g/day in men) to moderate drinkers (0.1-4.9 g/day) were 1.27 (95% CI 1.13 to 1.43) in women and 1.53 (1.39 to 1.68) in men. Strong associations were observed for ARC mortality, in men particularly, and for violent deaths and injuries, in men only. No associations were observed for CVD/CHD mortality among drinkers, whereby HRs were higher in never compared to moderate drinkers. Overall mortality seemed to be more strongly related to beer than wine use, particularly in men. The 10-year risks of overall death for women aged 60 years, drinking more than 30 g/day was 5% and 7%, for never and current smokers, respectively. Corresponding figures in men consuming more than 60 g/day were 11% and 18%, in never and current smokers, respectively. In competing risks analyses, mortality due to CVD/CHD was more pronounced than ARC in men, while CVD/CHD and ARC mortality were of similar magnitude in women.CONCLUSIONS: In this large European cohort, alcohol use was positively associated with overall mortality, ARC and violent death and injuries, but marginally to CVD/CHD. Absolute risks of death observed in EPIC suggest that alcohol is an important determinant of total mortality.
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- 2014
25. Use of Two-Part Regression Calibration Model to Correct for Measurement Error in Episodically Consumed Foods in a Single-Replicate Study Design: EPIC Case Study
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Agogo, George O, der Voet, Hilko van, Veer, Pieter Van't, Ferrari, Pietro, Leenders, Max, Muller, David C, Sánchez-Cantalejo, Emilio, Bamia, Christina, Braaten, Tonje, Knüppel, Sven, Johansson, Ingegerd, van Eeuwijk, Fred A, Boshuizen, Hendriek, LS IRAS EEPI GRA (Gezh.risico-analyse), IRAS RATIA-SIB, Risk Assessment of Toxic and Immunomodulatory Agents, [Agogo,GO, Boshuizen,H] National Institute for Public Health and the Environment, Bilthoven, The Netherlands. [Agogo,GO, Voet,HV, Eeuwijk,FAV, Boshuizen,H] Biometris, Wageningen University and Research Center, Wageningen, The Netherlands.[Veer,PV, Boshuizen,H] Department of Human Nutrition, Wageningen University and Research Center, Wageningen, The Netherlands. [Ferrari,P] Nutritional Epidemiology Group, International Agency for Research on Cancer, Lyon, France. [Leenders,M] Department of Gastroenterology and Hepatology, University Medical Center Utrecht, Utrecht, The Netherlands. [Muller,DC] Genetic Epidemiology Group, International Agency for Research on Cancer, Lyon, France. [Sánchez-Cantalejo,E] Andalusian School of Public Health, Granada, Spain. CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain. [Bamia,C] WHO Collaborating Center for Food and Nutrition Policies, Department of Hygiene, Epidemiology and Medical Statistics, University of Athens Medical School, Athens, Greece. [Braaten,T] Department of Community Medicine, University of Tromsø, Tromsø, Norway. [Knüppel,S] Department of Epidemiology, German Institute of Human Nutrition Potsdam-Rehbrücke, Potsdam, Germany. [Johansson,I] Department of Odontology, Umea University, Umea, Sweden., However, the publication cost will be covered by Wageningen University and Research Centre, Biometris, P.O. Box 100, 6700 AC WAGENINGEN should the paper be accepted for a publication., LS IRAS EEPI GRA (Gezh.risico-analyse), IRAS RATIA-SIB, and Risk Assessment of Toxic and Immunomodulatory Agents
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Male ,Parametric Analysis ,Medicin och hälsovetenskap ,Nutrition and Disease ,Calibration (statistics) ,Test Statistics ,lcsh:Medicine ,markers ,Overfitting ,Statistical Inference ,outcomes ,Medical and Health Sciences ,Wiskundige en Statistische Methoden - Biometris ,Mathematical and Statistical Techniques ,Neoplasms ,Surveys and Questionnaires ,Voeding en Ziekte ,Statistics ,Medicine ,Prospective Studies ,lcsh:Science ,Multidisciplinary ,Maximum Likelihood Estimation ,Regression analysis ,Estudios Prospectivos ,Replicate ,Diseases::Neoplasms [Medical Subject Headings] ,Middle Aged ,PE&RC ,Neoplasias ,Diet Records ,Europe ,Survival Rate ,Biometris ,nutrition ,Physical Sciences ,Calibration ,instruments ,Regression Analysis ,Dieta ,Female ,dietary self-report ,Statistics (Mathematics) ,Bayesian Statistics ,Research Article ,Adult ,Heteroscedasticity ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies::Longitudinal Studies::Prospective Studies [Medical Subject Headings] ,General Science & Technology ,Logit ,Phenomena and Processes::Physiological Phenomena::Nutritional Physiological Phenomena::Diet [Medical Subject Headings] ,Research and Analysis Methods ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Data Collection::Nutrition Assessment [Medical Subject Headings] ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cohort Studies::Longitudinal Studies [Medical Subject Headings] ,Covariate ,MD Multidisciplinary ,Humans ,cancer ,Statistical Methods ,Statistical Hypothesis Testing ,Mathematical and Statistical Methods - Biometris ,Aged ,VLAG ,disease ,Observational error ,Models, Statistical ,business.industry ,lcsh:R ,Evaluación Nutricional ,Feeding Behavior ,Estudios Longitudinales ,Estudios Epidemiológicos ,Survival Analysis ,Nutrition Assessment ,lcsh:Q ,Food Habits ,business ,Mathematics ,Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies [Medical Subject Headings] ,Generalized Linear Model - Abstract
Journal Article; In epidemiologic studies, measurement error in dietary variables often attenuates association between dietary intake and disease occurrence. To adjust for the attenuation caused by error in dietary intake, regression calibration is commonly used. To apply regression calibration, unbiased reference measurements are required. Short-term reference measurements for foods that are not consumed daily contain excess zeroes that pose challenges in the calibration model. We adapted two-part regression calibration model, initially developed for multiple replicates of reference measurements per individual to a single-replicate setting. We showed how to handle excess zero reference measurements by two-step modeling approach, how to explore heteroscedasticity in the consumed amount with variance-mean graph, how to explore nonlinearity with the generalized additive modeling (GAM) and the empirical logit approaches, and how to select covariates in the calibration model. The performance of two-part calibration model was compared with the one-part counterpart. We used vegetable intake and mortality data from European Prospective Investigation on Cancer and Nutrition (EPIC) study. In the EPIC, reference measurements were taken with 24-hour recalls. For each of the three vegetable subgroups assessed separately, correcting for error with an appropriately specified two-part calibration model resulted in about three fold increase in the strength of association with all-cause mortality, as measured by the log hazard ratio. Further found is that the standard way of including covariates in the calibration model can lead to over fitting the two-part calibration model. Moreover, the extent of adjusting for error is influenced by the number and forms of covariates in the calibration model. For episodically consumed foods, we advise researchers to pay special attention to response distribution, nonlinearity, and covariate inclusion in specifying the calibration model. Yes
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- 2014
26. A method for sensitivity analysis to assess the effects of measurement error in multiple exposure variables using external validation data
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Tonje Braaten, Fred A. van Eeuwijk, Ingegerd Johansson, Pieter van 't Veer, David C. Muller, Pietro Ferrari, Emilio Sánchez-Cantalejo, Hilko van der Voet, Christina Bamia, Sven Knüppel, Hendriek C. Boshuizen, George O. Agogo, [Agogo, GO, van der Voet, H, van Eeuwijk, FA] Wageningen Univ & Res Ctr, Biometris, Wageningen, Netherlands. [Agogo, GO] Yale Univ, Dept Internal Med, New Haven, CT USA. [van 't Veer, P] Wageningen Univ & Res Ctr, Dept Human Nutr, Wageningen, Netherlands. [Ferrari,P] Int Agcy Res Canc, Nutr Epidemiol Grp, Lyon, France. [Muller,DC] Int Agcy Res Canc, Genet Epidemiol Grp, Lyon, France. [Sanchez-Cantalejo,E] Andalusian Sch Publ Hlth, Granada, Spain. [Bamia,C] Univ Athens, Dept Hyg Epidemiol & Med Stat, Sch Med, Athens, Greece. [Braaten,T] Univ Tromso, Dept Community Med, N-9037 Tromso, Norway. [Knuppel,S] German Inst Human Nutr Potsdam Rehbrucke, Dept Epidemiol, Nuthetal, Germany. [Johansson,I] Umea Univ, Dept Odontol, Umea, Sweden. [Boshuizen,HC] Natl Inst Publ Hlth & Environm RIVM, Dept Stat Math Modelling & Data Logist, Bilthoven, Netherlands., and This work was supported financially by a PhD grant for GOA funded by Wageningen University and Research Centre (WUR) and National Institute for Public Health and the Environment (RIVM).
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Gerontology ,Multivariate analysis ,Health Care::Environment and Public Health::Public Health::Epidemiologic Factors::Bias (Epidemiology) [Medical Subject Headings] ,Epidemiology ,Medical Laboratory and Measurements Technologies ,Validation Studies as Topic ,Attenuation-contamination matrix ,01 natural sciences ,Wiskundige en Statistische Methoden - Biometris ,010104 statistics & probability ,0302 clinical medicine ,Health Care::Environment and Public Health::Public Health::Epidemiologic Methods::Statistics as Topic::Models, Statistical [Medical Subject Headings] ,Neoplasms ,Statistics ,Health Care::Health Care Quality, Access, and Evaluation::Quality of Health Care::Health Care Evaluation Mechanisms::Evaluation Studies as Topic::Validation Studies as Topic [Medical Subject Headings] ,Multicenter Studies as Topic ,Medicine ,Prospective Studies ,030212 general & internal medicine ,Sensory Science and Eating Behaviour ,Human Nutrition & Health ,lcsh:R5-920 ,Nutrition and Dietetics ,VDP::Medisinske Fag: 700::Helsefag: 800::Samfunnsmedisin, sosialmedisin: 801 ,Smoking ,Humane Voeding & Gezondheid ,Validation study ,PE&RC ,Sesgo ,Näringslära ,Estudios de validación ,Biometris ,1117 Public Health And Health Services ,Health Care::Environment and Public Health::Public Health::Epidemiologic Methods::Statistics as Topic::Probability::Bayes Theorem [Medical Subject Headings] ,lcsh:Medicine (General) ,Risk assessment ,Research Article ,Multiple exposure ,Health Informatics ,Risk Assessment ,Sensitivity and Specificity ,03 medical and health sciences ,Measurement error ,Bias ,General & Internal Medicine ,Humans ,Teorema de Bayes ,Sensitivity (control systems) ,0101 mathematics ,Mathematical and Statistical Methods - Biometris ,Medicinsk laboratorie- och mätteknik ,Proportional Hazards Models ,VLAG ,Observational error ,Proportional hazards model ,business.industry ,External validation ,Bayesian MCMC ,Diet ,EPIC study ,Sensoriek en eetgedrag ,Multivariate Analysis ,Self Report ,VDP::Medical disciplines: 700::Health sciences: 800::Community medicine, Social medicine: 801 ,business - Abstract
Source: doi: 10.1186/s12874-016-0240-1 Background:Measurement error in self-reported dietary intakes is known to bias the association between dietary intake and a health outcome of interest such as risk of a disease. The association can be distorted further by mismeasured confounders, leading to invalid results and conclusions. It is, however, difficult to adjust for the bias in the association when there is no internal validation data. Methods:We proposed a method to adjust for the bias in the diet-disease association (hereafter, association), due to measurement error in dietary intake and a mismeasured confounder, when there is no internal validation data. The method combines prior information on the validity of the self-report instrument with the observed data to adjust for the bias in the association. We compared the proposed method with the method that ignores the confounder effect, and with the method that ignores measurement errors completely. We assessed the sensitivity of the estimates to various magnitudes of measurement error, error correlations and uncertainty in the literaturereported validation data. We applied the methods to fruits and vegetables (FV) intakes, cigarette smoking (confounder) and all-cause mortality data from the European Prospective Investigation into Cancer and Nutrition study. Results: Using the proposed method resulted in about four times increase in the strength of association between FV intake and mortality. For weakly correlated errors, measurement error in the confounder minimally affected the hazard ratio estimate for FV intake. The effect was more pronounced for strong error correlations. Conclusions: The proposed method permits sensitivity analysis on measurement error structures and accounts for uncertainties in the reported validity coefficients. The method is useful in assessing the direction and quantifying the magnitude of bias in the association due to measurement errors in the confounders. Keywords: Attenuation-contamination matrix, Bayesian MCMC, EPIC study, Measurement error, Validation study
27. Adiposity assessed close to diagnosis and prostate cancer prognosis in the EPIC study.
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Cariolou M, Christakoudi S, Gunter MJ, Key T, Pérez-Cornago A, Travis R, Zamora-Ros R, Petersen KET, Tjønneland A, Weiderpass E, Kaaks R, Seibold P, Inan-Eroglu E, Schulze MB, Masala G, Agnoli C, Tumino R, Di Girolamo C, Aizpurua A, Rodriguez-Barranco M, Santiuste C, Guevara M, Aune D, Chan DS, Muller DC, and Tsilidis KK
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Background: Adiposity has been characterised as a modifiable risk factor of prostate cancer. Its association with outcomes after prostate cancer diagnosis, however, needs to be better understood and obtain more evidence to assist the development of lifestyle guidance for prostate cancer patients., Methods: We investigated the associations between adiposity indices close to prostate cancer diagnosis (up to two years pre- or up to five years post-diagnosis) and mortality in 1,968 men of the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort. Men were followed for a median of 9.5 years. Cox proportional-hazards models were adjusted for age and year of diagnosis, stage, grade, smoking and stratified by country., Results: Each 5-unit increment in pre- or post-diagnosis body mass index (BMI) combined was associated with a 30% higher rate of all-cause and a 49% higher rate of prostate cancer-specific mortality. Similarly, each 5-unit increment in pre-diagnosis BMI was associated with a 35% higher rate of all-cause and a 51% higher rate of prostate cancer-specific mortality. The associations were less strong for post-diagnosis BMI with a lower number of men in analyses. Less clear positive associations were shown for waist circumference, hip circumference, and waist-to-hip ratio but data was limited., Conclusions: Elevated levels of adiposity close to prostate cancer diagnosis could lead to higher risk of mortality; therefore, men are encouraged to maintain a healthy weight. Additional research is needed to confirm if excessive adiposity after prostate cancer diagnosis could worsen prognosis., (© The Author(s) 2024. Published by Oxford University Press.)
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- 2024
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28. A Preclinical Model of Sepsis-Induced Myopathy with Disuse in Mice.
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Boeno FP, Muller DC, Aldakkan A, Li Z, Reis G, Barton ER, and Laitano O
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- Animals, Mice, Male, Muscular Atrophy etiology, Muscular Atrophy pathology, Muscle, Skeletal, Hindlimb Suspension, Sepsis complications, Disease Models, Animal, Mice, Inbred C57BL, Muscular Diseases etiology, Muscular Diseases pathology
- Abstract
Sepsis is a major cause of in-hospital deaths. Improvements in treatment result in a greater number of sepsis survivors. Approximately 75% of the survivors develop muscle weakness and atrophy, increasing the incidence of hospital readmissions and mortality. However, the available preclinical models of sepsis do not address skeletal muscle disuse, a key component for the development of sepsis-induced myopathy. Our objective in this protocol is to provide a step-by-step guideline for a mouse model that reproduces the clinical setting experienced by a bedridden septic patient. Male C57Bl/6 mice were used to develop this model. Mice underwent cecal ligation and puncture (CLP) to induce sepsis. Four days post-CLP, mice were subjected to hindlimb suspension (HLS) for seven days. Results were compared with sham-matched surgeries and/or animals with normal ambulation (NA). Muscles were dissected for in vitro muscle mechanics and morphological assessments. The model results in marked muscle atrophy and weakness, a similar phenotype observed in septic patients. The model represents a platform for testing potential therapeutic strategies for the mitigation of sepsis-induced myopathy.
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- 2024
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29. Headache in the international cohort study of mobile phone use and health (COSMOS) in the Netherlands and the United Kingdom.
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Traini E, Smith RB, Vermeulen R, Kromhout H, Schüz J, Feychting M, Auvinen A, Poulsen AH, Deltour I, Muller DC, Heller J, Tettamanti G, Elliott P, Huss A, and Toledano MB
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- Humans, Cohort Studies, Netherlands, Radio Waves, Electromagnetic Fields, Headache, United Kingdom, Cell Phone Use, Cell Phone
- Abstract
Headache is a common condition with a substantial burden of disease worldwide. Concerns have been raised over the potential impact of long-term mobile phone use on headache due to radiofrequency electromagnetic fields (RF-EMFs). We explored prospectively the association between mobile phone use at baseline (2009-2012) and headache at follow-up (2015-2018) by analysing pooled data consisting of the Dutch and UK cohorts of the Cohort Study of Mobile Phone Use and Health (COSMOS) (N = 78,437). Frequency of headache, migraine, and information on mobile phone use, including use of hands-free devices and frequency of texting, were self-reported. We collected objective operator data to obtain regression calibrated estimates of voice call duration. In the model mutually adjusted for call-time and text messaging, participants in the high category of call-time showed an adjusted odds ratio (OR) of 1.04 (95 % CI: 0.94-1.15), with no clear trend of reporting headache with increasing call-time. However, we found an increased risk of weekly headache (OR = 1.40, 95 % CI: 1.25-1.56) in the high category of text messaging, with a clear increase in reporting headache with increasing texting. Due to the negligible exposure to RF-EMFs from texting, our results suggest that mechanisms other than RF-EMFs are responsible for the increased risk of headache that we found among mobile phone users., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)
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- 2024
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30. Mortality from leading cancers in districts of England from 2002 to 2019: a population-based, spatiotemporal study.
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Rashid T, Bennett JE, Muller DC, Cross AJ, Pearson-Stuttard J, Asaria P, Daby HI, Fecht D, Davies B, and Ezzati M
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- Male, Humans, Female, Aged, 80 and over, Infant, Cause of Death, Bayes Theorem, Risk Factors, Mortality, Liver Neoplasms, Lung Neoplasms
- Abstract
Background: Cancers are the leading cause of death in England. We aimed to estimate trends in mortality from leading cancers from 2002 to 2019 for the 314 districts in England., Methods: We did a high-resolution spatiotemporal analysis of vital registration data from the UK Office for National Statistics using data on all deaths from the ten leading cancers in England from 2002 to 2019. We used a Bayesian hierarchical model to obtain robust estimates of age-specific and cause-specific death rates. We used life table methods to calculate the primary outcome, the unconditional probability of dying between birth and age 80 years by sex, cancer cause of death, local district, and year. We reported Spearman rank correlations between the probability of dying from a cancer and district-level poverty in 2019., Findings: In 2019, the probability of dying from a cancer before age 80 years ranged from 0·10 (95% credible interval [CrI] 0·10-0·11) to 0·17 (0·16-0·18) for women and from 0·12 (0·12-0·13) to 0·22 (0·21-0·23) for men. Variation in the probability of dying was largest for lung cancer among women, being 3·7 times (95% CrI 3·2-4·4) higher in the district with the highest probability than in the district with the lowest probability; and for stomach cancer for men, being 3·2 times (2·6-4·1) higher in the district with the highest probability than in the one with the lowest probability. The variation in the probability of dying was smallest across districts for lymphoma and multiple myeloma (95% CrI 1·2 times [1·1-1·4] higher in the district with the highest probability than the lowest probability for women and 1·2 times [1·0-1·4] for men), and leukaemia (1·1 times [1·0-1·4] for women and 1·2 times [1·0-1·5] for men). The Spearman rank correlation between probability of dying from a cancer and district poverty was 0·74 (95% CrI 0·72-0·76) for women and 0·79 (0·78-0·81) for men. From 2002 to 2019, the overall probability of dying from a cancer declined in all districts: the reductions ranged from 6·6% (95% CrI 0·3-13·1) to 30·1% (25·6-34·5) for women and from 12·8% (7·1-18·8) to 36·7% (32·2-41·2) for men. However, there were increases in mortality for liver cancer among men, lung cancer and corpus uteri cancer among women, and pancreatic cancer in both sexes in some or all districts with posterior probability greater than 0·80., Interpretation: Cancers with modifiable risk factors and potential for screening for precancerous lesions had heterogeneous trends and the greatest geographical inequality. To reduce these inequalities, factors affecting both incidence and survival need to be addressed at the local level., Funding: Wellcome Trust, Imperial College London, UK Medical Research Council, and the National Institute of Health Research., Competing Interests: Declaration of interests JP-S is chair of the Royal Society for Public Health and a partner at Lane Clark and Peacock, and reports personal fees from Novo Nordisk A/S and Pfizer, all outside the submitted work. All other authors declare no competing interests., (Copyright © 2024 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license. Published by Elsevier Ltd.. All rights reserved.)
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- 2024
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31. Kidney Function and Risk of Renal Cell Carcinoma.
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Alcala K, Zahed H, Cortez Cardoso Penha R, Alcala N, Robbins HA, Smith-Byrne K, Martin RM, Muller DC, Brennan P, and Johansson M
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- Humans, Glomerular Filtration Rate physiology, Kidney, Risk Factors, Creatinine, Carcinoma, Renal Cell epidemiology, Kidney Neoplasms epidemiology, Renal Insufficiency, Chronic complications
- Abstract
Background: We evaluated the temporal association between kidney function, assessed by estimated glomerular filtration rate (eGFR), and the risk of incident renal cell carcinoma (RCC). We also evaluated whether eGFR could improve RCC risk discrimination beyond established risk factors., Methods: We analyzed the UK Biobank cohort, including 463,178 participants of whom 1,447 were diagnosed with RCC during 5,696,963 person-years of follow-up. We evaluated the temporal association between eGFR and RCC risk using flexible parametric survival models, adjusted for C-reactive protein and RCC risk factors. eGFR was calculated from creatinine and cystatin C levels., Results: Lower eGFR, an indication of poor kidney function, was associated with higher RCC risk when measured up to 5 years prior to diagnosis. The RCC HR per SD decrease in eGFR when measured 1 year before diagnosis was 1.26 [95% confidence interval (95% CI), 1.16-1.37], and 1.11 (95% CI, 1.05-1.17) when measured 5 years before diagnosis. Adding eGFR to the RCC risk model provided a small improvement in risk discrimination 1 year before diagnosis with an AUC of 0.73 (95% CI, 0.67-0.84) compared with the published model (0.69; 95% CI, 0.63-0.79)., Conclusions: This study demonstrated that kidney function markers are associated with RCC risk, but the nature of these associations are consistent with reversed causality. Markers of kidney function provided limited improvements in RCC risk discrimination beyond established risk factors., Impact: eGFR may be of potential use to identify individuals in the extremes of the risk distribution., (©2023 The Authors; Published by the American Association for Cancer Research.)
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- 2023
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32. Reproductive and hormonal factors and risk of renal cell carcinoma among women in the European Prospective Investigation into Cancer and Nutrition.
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Clasen JL, Mabunda R, Heath AK, Kaaks R, Katzke V, Schulze MB, Birukov A, Tagliabue G, Chiodini P, Tumino R, Milani L, Braaten T, Gram I, Lukic M, Luján-Barroso L, Rodriguez-Barranco M, Chirlaque MD, Ardanaz E, Amiano P, Manjer J, Huss L, Ljungberg B, Travis R, Smith-Byrne K, Gunter M, Johansson M, Rinaldi S, Weiderpass E, Riboli E, Cross AJ, and Muller DC
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- Pregnancy, Male, Female, Humans, Adult, Prospective Studies, Reproductive History, Parity, Menopause, Hormones, Risk Factors, Carcinoma, Renal Cell epidemiology, Carcinoma, Renal Cell etiology, Kidney Neoplasms epidemiology, Kidney Neoplasms etiology
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Background: Renal cell carcinoma (RCC) is twice as common among men compared with women, and hormonal factors have been suggested to partially explain this difference. There is currently little evidence on the roles of reproductive and hormonal risk factors in RCC aetiology., Materials & Methods: We investigated associations of age at menarche and age at menopause, pregnancy-related factors, hysterectomy and ovariectomy and exogenous hormone use with RCC risk among 298,042 women in the European Prospective Investigation into Cancer and Nutrition (EPIC) study., Results: During 15 years of follow-up, 438 RCC cases were identified. Parous women had higher rates of RCC compared with nulliparous women (HR = 1.71, 95% CI 1.18, 2.46), and women who were older at age of first pregnancy had lower rates of RCC (30 years + vs. <20 years HR = 0.53, 95% CI 0.34, 0.82). Additionally, we identified a positive association for hysterectomy (HR = 1.43 95% CI 1.09, 1.86) and bilateral ovariectomy (HR = 1.67, 95% CI 1.13, 2.47), but not unilateral ovariectomy (HR = 0.99, 95% CI 0.61, 1.62) with RCC risk. No clear associations were found for age at menarche, age at menopause or exogenous hormone use., Conclusion: Our results suggest that parity and reproductive organ surgeries may play a role in RCC aetiology., (© 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)
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- 2023
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33. Association between adiposity after diagnosis of prostate cancer and mortality: systematic review and meta-analysis.
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Cariolou M, Markozannes G, Becerra-Tomás N, Vieira R, Balducci K, Aune D, Muller DC, Chan DSM, and Tsilidis KK
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Objective: To explore the associations between adiposity indices, assessed at or after a diagnosis of prostate cancer, and mortality., Design: Systematic review and meta-analysis., Data Sources: PubMed and Embase, from inception to 16 November 2022., Eligibility Criteria for Selecting Studies: Cohort studies or randomised controlled trials of men with a diagnosis of prostate cancer that investigated the associations between adiposity (body mass index, waist and hip circumference, waist-to-hip ratio, and subcutaneous and visceral adipose tissue) after diagnosis and mortality outcomes. A modified version of the risk of bias for nutrition observational studies tool was used to assess risk of bias., Results: 79 studies were identified that investigated adiposity indices after a diagnosis of prostate cancer in relation to mortality. No randomised controlled trials were found. A non-linear dose-response meta-analysis indicated a J shaped association between body mass index and all cause mortality (33 910 men, 11 095 deaths, 17 studies). The highest rate of all cause mortality was found at the lowest and upper range of the distribution: 11-23% higher rate for a body mass index of 17-21 and 4-43% higher rate for a body mass index of 30-40. The association between body mass index and mortality specific to prostate cancer was flat until body mass index reached 26-27, and then increased linearly by 8-66% for a body mass index of 30-40 (33 137 men, 2947 deaths, 13 studies), but the 95% confidence intervals were wide. These associations did not differ in most predefined subgroups by study design, number of deaths, anthropometric assessment, follow-up time, geographical location, prostate cancer risk group, and adjustment variables. No associations were found in meta-analyses between 10 cm increases in waist circumference and all cause mortality or mortality specific to prostate cancer, but only three studies were available. The few studies with data on change in weight, waist-to-hip ratio, and subcutaneous and visceral adipose tissue reported conflicting results., Conclusions: This review suggests that patients with prostate cancer might benefit from maintaining a healthy weight and avoiding obesity. Future studies should investigate adiposity across different stages of cancer survivorship and use various parameters for distribution of adipose tissue., Systematic Review Registration: Open Science Framework https://osf.io/qp3c4., Competing Interests: Competing interests: All authors have completed the ICMJE uniform disclosure form at www.icmje.org/disclosure-of-interest/ and declare: support from the World Cancer Research Fund network of charities (American Institute for Cancer Research, World Cancer Research Fund, and Wereld Kanker Onderzoek Fonds) for the submitted work; no financial relationships with any organisations that might have an interest in the submitted work in the previous three years; no other relationships or activities that could appear to have influenced the submitted work., (© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.)
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- 2023
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34. Evaluation of pre-diagnostic blood protein measurements for predicting survival after lung cancer diagnosis.
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Feng X, Muller DC, Zahed H, Alcala K, Guida F, Smith-Byrne K, Yuan JM, Koh WP, Wang R, Milne RL, Bassett JK, Langhammer A, Hveem K, Stevens VL, Wang Y, Johansson M, Tjønneland A, Tumino R, Sheikh M, Johansson M, and Robbins HA
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- Humans, Prognosis, Proportional Hazards Models, France, Sweden, Antigens, Neoplasm, Cell Adhesion Molecules, Lung Neoplasms diagnosis
- Abstract
Background: To evaluate whether circulating proteins are associated with survival after lung cancer diagnosis, and whether they can improve prediction of prognosis., Methods: We measured up to 1159 proteins in blood samples from 708 participants in 6 cohorts. Samples were collected within 3 years prior to lung cancer diagnosis. We used Cox proportional hazards models to identify proteins associated with overall mortality after lung cancer diagnosis. To evaluate model performance, we used a round-robin approach in which models were fit in 5 cohorts and evaluated in the 6th cohort. Specifically, we fit a model including 5 proteins and clinical parameters and compared its performance with clinical parameters only., Findings: There were 86 proteins nominally associated with mortality (p < 0.05), but only CDCP1 remained statistically significant after accounting for multiple testing (hazard ratio per standard deviation: 1.19, 95% CI: 1.10-1.30, unadjusted p = 0.00004). The external C-index for the protein-based model was 0.63 (95% CI: 0.61-0.66), compared with 0.62 (95% CI: 0.59-0.64) for the model with clinical parameters only. Inclusion of proteins did not provide a statistically significant improvement in discrimination (C-index difference: 0.015, 95% CI: -0.003 to 0.035)., Interpretation: Blood proteins measured within 3 years prior to lung cancer diagnosis were not strongly associated with lung cancer survival, nor did they importantly improve prediction of prognosis beyond clinical information., Funding: No explicit funding for this study. Authors and data collection supported by the US National Cancer Institute (U19CA203654), INCA (France, 2019-1-TABAC-01), Cancer Research Foundation of Northern Sweden (AMP19-962), and Swedish Department of Health Ministry., Competing Interests: Declaration of interests Jian-Min Yuan has a declaration on NIH grant funding, and the other authors have no conflicts of interest., (Copyright © 2023 World Health Organization. Published by Elsevier B.V. All rights reserved.)
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- 2023
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35. Diet-wide association study of 92 foods and nutrients and lung cancer risk in the European Prospective Investigation into Cancer and Nutrition study and the Netherlands Cohort Study.
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Heath AK, Muller DC, van den Brandt PA, Critselis E, Gunter M, Vineis P, Weiderpass E, Boeing H, Ferrari P, Merritt MA, Rostgaard-Hansen AL, Tjønneland A, Overvad K, Katzke V, Srour B, Masala G, Sacerdote C, Ricceri F, Pasanisi F, Bueno-de-Mesquita B, Downward GS, Skeie G, Sandanger TM, Crous-Bou M, Rodríguez-Barranco M, Amiano P, Huerta JM, Ardanaz E, Drake I, Johansson M, Johansson I, Key T, Papadimitriou N, Riboli E, Tzoulaki I, and Tsilidis KK
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- Ascorbic Acid, Cohort Studies, Diet adverse effects, Europe epidemiology, Humans, Netherlands epidemiology, Nutrients, Prospective Studies, Risk Factors, Lung Neoplasms epidemiology, Lung Neoplasms etiology, Vitamin A
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It is unclear whether diet, and in particular certain foods or nutrients, are associated with lung cancer risk. We assessed associations of 92 dietary factors with lung cancer risk in 327 790 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC). Cox regression yielded adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) per SD higher intake/day of each food/nutrient. Correction for multiple comparisons was performed using the false discovery rate and identified associations were evaluated in the Netherlands Cohort Study (NLCS). In EPIC, 2420 incident lung cancer cases were identified during a median of 15 years of follow-up. Higher intakes of fibre (HR per 1 SD higher intake/day = 0.91, 95% CI 0.87-0.96), fruit (HR = 0.91, 95% CI 0.86-0.96) and vitamin C (HR = 0.91, 95% CI 0.86-0.96) were associated with a lower risk of lung cancer, whereas offal (HR = 1.08, 95% CI 1.03-1.14), retinol (HR = 1.06, 95% CI 1.03-1.10) and beer/cider (HR = 1.04, 95% CI 1.02-1.07) intakes were positively associated with lung cancer risk. Associations did not differ by sex and there was less evidence for associations among never smokers. None of the six associations with overall lung cancer risk identified in EPIC were replicated in the NLCS (2861 cases), however in analyses of histological subtypes, inverse associations of fruit and vitamin C with squamous cell carcinoma were replicated in the NLCS. Overall, there is little evidence that intakes of specific foods and nutrients play a major role in primary lung cancer risk, but fruit and vitamin C intakes seem to be inversely associated with squamous cell lung cancer., (© 2022 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.)
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- 2022
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36. Biomarkers of the transsulfuration pathway and risk of renal cell carcinoma in the European Prospective Investigation into Cancer and Nutrition (EPIC) study.
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Clasen JL, Heath AK, Van Puyvelde H, Huybrechts I, Park JY, Ferrari P, Scelo G, Ulvik A, Midttun Ø, Ueland PM, Overvad K, Eriksen AK, Tjønneland A, Kaaks R, Katzke V, Schulze MB, Palli D, Agnoli C, Chiodini P, Tumino R, Sacerdote C, Zamora-Ros R, Rodriguez-Barranco M, Santiuste C, Ardanaz E, Amiano P, Schmidt JA, Weiderpass E, Gunter M, Riboli E, Cross AJ, Johansson M, and Muller DC
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- Bayes Theorem, Biomarkers, Case-Control Studies, Cysteine, Homocysteine, Humans, Prospective Studies, Pyridoxal Phosphate, Vitamin B 6, Carcinoma, Renal Cell epidemiology, Carcinoma, Renal Cell etiology, Kidney Neoplasms epidemiology, Kidney Neoplasms etiology
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Previous studies have suggested that components of one-carbon metabolism, particularly circulating vitamin B6, have an etiological role in renal cell carcinoma (RCC). Vitamin B6 is a cofactor in the transsulfuration pathway. We sought to holistically investigate the role of the transsulfuration pathway in RCC risk. We conducted a nested case-control study (455 RCC cases and 455 matched controls) within the European Prospective Investigation into Cancer and Nutrition (EPIC) study. Plasma samples from the baseline visit were analyzed for metabolites of the transsulfuration pathway, including pyridoxal 5'-phosphate (PLP, the biologically active form of vitamin B6), homocysteine, serine, cystathionine, and cysteine, in addition to folate. Bayesian conditional logistic regression was used to estimate associations of metabolites with RCC risk as well as interactions with established RCC risk factors. Circulating PLP and cysteine were inversely associated with RCC risk, and these associations were not attenuated after adjustment for other transsulfuration metabolites (odds ratio (OR) and 90% credible interval (CrI) per 1 SD increase in log concentration: 0.76 [0.66, 0.87]; 0.81 [0.66, 0.96], respectively). A comparison of joint metabolite profiles suggested substantially greater RCC risk for the profile representative of low overall transsulfuration function compared to high function (OR 2.70 [90% CrI 1.26, 5.70]). We found some statistical evidence of interactions of cysteine with body mass index, and PLP and homocysteine with smoking status, on their associations with RCC risk. In conclusion, we found evidence suggesting that the transsulfuration pathway may play a role in metabolic dysregulation leading to RCC development., (© 2022 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC.)
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- 2022
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37. A Prospective Diet-Wide Association Study for Risk of Colorectal Cancer in EPIC.
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Papadimitriou N, Bouras E, van den Brandt PA, Muller DC, Papadopoulou A, Heath AK, Critselis E, Gunter MJ, Vineis P, Ferrari P, Weiderpass E, Boeing H, Bastide N, Merritt MA, Lopez DS, Bergmann MM, Perez-Cornago A, Schulze M, Skeie G, Srour B, Eriksen AK, Boden S, Johansson I, Nøst TH, Lukic M, Ricceri F, Ericson U, Huerta JM, Dahm CC, Agnoli C, Amiano PE, Tjønneland A, Gurrea AB, Bueno-de-Mesquita B, Ardanaz E, Berntsson J, Sánchez MJ, Tumino R, Panico S, Katzke V, Jakszyn P, Masala G, Derksen JWG, Quirós JR, Severi G, Cross AJ, Riboli E, Tzoulaki I, and Tsilidis KK
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- Cohort Studies, Humans, Prospective Studies, Risk Factors, Colorectal Neoplasms epidemiology, Colorectal Neoplasms etiology, Diet
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Background & Aims: Evidence regarding the association of dietary exposures with colorectal cancer (CRC) risk is not consistent with a few exceptions. Therefore, we conducted a diet-wide association study (DWAS) in the European Prospective Investigation into Cancer and Nutrition (EPIC) to evaluate the associations between several dietary exposures with CRC risk., Methods: The association of 92 food and nutrient intakes with CRC risk was assessed in 386,792 participants, 5069 of whom developed incident CRC. Correction for multiple comparisons was performed using the false discovery rate, and emerging associations were examined in the Netherlands Cohort Study (NLCS). Multiplicative gene-nutrient interactions were also tested in EPIC based on known CRC-associated loci., Results: In EPIC, alcohol, liquor/spirits, wine, beer/cider, soft drinks, and pork were positively associated with CRC, whereas milk, cheese, calcium, phosphorus, magnesium, potassium, riboflavin, vitamin B6, beta carotene, fruit, fiber, nonwhite bread, banana, and total protein intakes were inversely associated. Of these 20 associations, 13 were replicated in the NLCS, for which a meta-analysis was performed, namely alcohol (summary hazard ratio [HR] per 1-SD increment in intake: 1.07; 95% confidence interval [CI], 1.04-1.09), liquor/spirits (HR per 1-SD increment in intake, 1.04; 95% CI, 1.02-1.06), wine (HR per 1-SD increment in intake, 1.04; 95% CI, 1.02-1.07), beer/cider (HR per 1-SD increment in intake, 1.06; 95% CI, 1.04-1.08), milk (HR per 1-SD increment in intake, 0.95; 95% CI, 0.93-0.98), cheese (HR per 1-SD increment in intake, 0.96; 95% CI, 0.94-0.99), calcium (HR per 1-SD increment in intake, 0.93; 95% CI, 0.90-0.95), phosphorus (HR per 1-SD increment in intake, 0.92; 95% CI, 0.90-0.95), magnesium (HR per 1-SD increment in intake, 0.95; 95% CI, 0.92-0.98), potassium (HR per 1-SD increment in intake, 0.96; 95% CI, 0.94-0.99), riboflavin (HR per 1-SD increment in intake, 0.94; 95% CI, 0.92-0.97), beta carotene (HR per 1-SD increment in intake, 0.96; 95% CI, 0.93-0.98), and total protein (HR per 1-SD increment in intake, 0.94; 95% CI, 0.92-0.97). None of the gene-nutrient interactions were significant after adjustment for multiple comparisons., Conclusions: Our findings confirm a positive association for alcohol and an inverse association for dairy products and calcium with CRC risk, and also suggest a lower risk at higher dietary intakes of phosphorus, magnesium, potassium, riboflavin, beta carotene, and total protein., (Copyright © 2022 AGA Institute. Published by Elsevier Inc. All rights reserved.)
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- 2022
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38. The blood metabolome of incident kidney cancer: A case-control study nested within the MetKid consortium.
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Guida F, Tan VY, Corbin LJ, Smith-Byrne K, Alcala K, Langenberg C, Stewart ID, Butterworth AS, Surendran P, Achaintre D, Adamski J, Amiano P, Bergmann MM, Bull CJ, Dahm CC, Gicquiau A, Giles GG, Gunter MJ, Haller T, Langhammer A, Larose TL, Ljungberg B, Metspalu A, Milne RL, Muller DC, Nøst TH, Pettersen Sørgjerd E, Prehn C, Riboli E, Rinaldi S, Rothwell JA, Scalbert A, Schmidt JA, Severi G, Sieri S, Vermeulen R, Vincent EE, Waldenberger M, Timpson NJ, and Johansson M
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- Aged, Biomarkers blood, Case-Control Studies, Europe epidemiology, Female, Humans, Incidence, Kidney Neoplasms diagnosis, Kidney Neoplasms epidemiology, Kidney Neoplasms genetics, Male, Mendelian Randomization Analysis, Metabolomics, Middle Aged, Obesity diagnosis, Obesity epidemiology, Obesity genetics, Prospective Studies, Risk Assessment, Risk Factors, Victoria epidemiology, Body Mass Index, Kidney Neoplasms blood, Metabolome, Obesity blood
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Background: Excess bodyweight and related metabolic perturbations have been implicated in kidney cancer aetiology, but the specific molecular mechanisms underlying these relationships are poorly understood. In this study, we sought to identify circulating metabolites that predispose kidney cancer and to evaluate the extent to which they are influenced by body mass index (BMI)., Methods and Findings: We assessed the association between circulating levels of 1,416 metabolites and incident kidney cancer using pre-diagnostic blood samples from up to 1,305 kidney cancer case-control pairs from 5 prospective cohort studies. Cases were diagnosed on average 8 years after blood collection. We found 25 metabolites robustly associated with kidney cancer risk. In particular, 14 glycerophospholipids (GPLs) were inversely associated with risk, including 8 phosphatidylcholines (PCs) and 2 plasmalogens. The PC with the strongest association was PC ae C34:3 with an odds ratio (OR) for 1 standard deviation (SD) increment of 0.75 (95% confidence interval [CI]: 0.68 to 0.83, p = 2.6 × 10-8). In contrast, 4 amino acids, including glutamate (OR for 1 SD = 1.39, 95% CI: 1.20 to 1.60, p = 1.6 × 10-5), were positively associated with risk. Adjusting for BMI partly attenuated the risk association for some-but not all-metabolites, whereas other known risk factors of kidney cancer, such as smoking and alcohol consumption, had minimal impact on the observed associations. A mendelian randomisation (MR) analysis of the influence of BMI on the blood metabolome highlighted that some metabolites associated with kidney cancer risk are influenced by BMI. Specifically, elevated BMI appeared to decrease levels of several GPLs that were also found inversely associated with kidney cancer risk (e.g., -0.17 SD change [ßBMI] in 1-(1-enyl-palmitoyl)-2-linoleoyl-GPC (P-16:0/18:2) levels per SD change in BMI, p = 3.4 × 10-5). BMI was also associated with increased levels of glutamate (ßBMI: 0.12, p = 1.5 × 10-3). While our results were robust across the participating studies, they were limited to study participants of European descent, and it will, therefore, be important to evaluate if our findings can be generalised to populations with different genetic backgrounds., Conclusions: This study suggests a potentially important role of the blood metabolome in kidney cancer aetiology by highlighting a wide range of metabolites associated with the risk of developing kidney cancer and the extent to which changes in levels of these metabolites are driven by BMI-the principal modifiable risk factor of kidney cancer., Competing Interests: I have read the journal’s policy and the authors of this manuscript have the following competing interests: CL is an Academic Editor on PLOS Medicine’s editorial board; ASB reports institutional grants outside of this work from AstraZeneca, Bayer, Biogen, BioMarin, Bioverativ, Novartis, Regeneron and Sanofi; during the course of this project, PS became a full-time employee of GSK. No other conflicts of interest have been declared by the authors.
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- 2021
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39. A comparison of complementary measures of vitamin B6 status, function, and metabolism in the European Prospective Investigation into Cancer and Nutrition (EPIC) study.
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Clasen JL, Heath AK, Van Puyvelde H, Huybrechts I, Park JY, Ferrari P, Johansson M, Scelo G, Ulvik A, Midttun Ø, Ueland PM, Dahm CC, Halkjær J, Olsen A, Johnson T, Katzke V, Schulze MB, Masala G, Segrado F, de Magistris MS, Sacerdote C, Ocké MC, Luján-Barroso L, Ching-López A, Huerta JM, Ardanaz E, Amiano P, Ericson U, Manjer J, Gylling B, Johansson I, Schmidt J, Weiderpass E, Riboli E, Cross AJ, and Muller DC
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- Aged, Case-Control Studies, Europe, Female, Humans, Linear Models, Male, Middle Aged, Nutritional Status, Vitamin B 6 Deficiency, Neoplasms epidemiology, Neoplasms etiology, Vitamin B 6 blood
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Background: Vitamin B6 insufficiency has been linked to increased risk of cancer and other chronic diseases. The circulating concentration of pyridoxal 5'-phosphate (PLP) is a commonly used measure of vitamin B6 status. Ratios of substrates indicating PLP coenzymatic function and metabolism may be useful complementary measures to further explore the role of vitamin B6 in health., Objectives: We explored the sensitivity of 5 outcomes, namely PLP concentration, homocysteine:cysteine (Hcy:Cys), cystathionine:cysteine (Cysta:Cys), the 3´-hydroxykynurenine ratio (HKr), and the 4-pyridoxic acid ratio (PAr) to vitamin B6 intake as well as personal and lifestyle characteristics., Medthods: Dietary intake and biomarker data were collected from participants from 3 nested case-control studies within the European Prospective Investigation into Cancer and Nutrition (EPIC). Bayesian regression models assessed the associations of the 5 biomarker outcomes with vitamin B6 intake and personal and lifestyle covariates. Analogous models examined the relations of Hcy:Cys, Cysta:Cys, and HKr with PLP., Results: In total, 4608 participants were included in the analyses. Vitamin B6 intake was most strongly associated with PLP, moderately associated with Hcy:Cys, Cysta:Cys, and HKr, and not associated with PAr (fold change in marker given a doubling of vitamin B6 intake: PLP 1.60 [95% credible interval (CrI): 1.50, 1.71]; Hcy:Cys 0.87 [95% CrI: 0.84, 0.90]; Cysta:Cys 0.89 [95% CrI: 0.84, 0.94]; HKr 0.88 [95% CrI: 0.85, 0.91]; PAr 1.00 [95% CrI: 0.95, 1.05]). PAr was most sensitive to age, and HKr was least sensitive to BMI and alcohol intake. Sex and menopause status were strongly associated with all 5 markers., Conclusions: We found that 5 different markers, capturing different aspects of vitamin B6-related biological processes, varied in their associations with vitamin B6 intake and personal and lifestyle predictors., (© The Author(s) 2021. Published by Oxford University Press on behalf of the American Society for Nutrition.)
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- 2021
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40. Soft Drink and Juice Consumption and Renal Cell Carcinoma Incidence and Mortality in the European Prospective Investigation into Cancer and Nutrition.
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Heath AK, Clasen JL, Jayanth NP, Jenab M, Tjønneland A, Petersen KEN, Overvad K, Srour B, Katzke V, Bergmann MM, Schulze MB, Masala G, Krogh V, Tumino R, Catalano A, Pasanisi F, Brustad M, Olsen KS, Skeie G, Luján-Barroso L, Rodríguez-Barranco M, Amiano P, Santiuste C, Barricarte Gurrea A, Axelson H, Ramne S, Ljungberg B, Watts EL, Huybrechts I, Weiderpass E, Riboli E, and Muller DC
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- Adult, Aged, Body Mass Index, Carbonated Beverages adverse effects, Carcinoma, Renal Cell etiology, Diet Surveys statistics & numerical data, Europe epidemiology, Feeding Behavior, Female, Follow-Up Studies, Fruit and Vegetable Juices adverse effects, Humans, Incidence, Kidney Neoplasms etiology, Male, Middle Aged, Obesity etiology, Prospective Studies, Risk Factors, Sweetening Agents adverse effects, Carbonated Beverages statistics & numerical data, Carcinoma, Renal Cell epidemiology, Fruit and Vegetable Juices statistics & numerical data, Kidney Neoplasms epidemiology, Obesity epidemiology
- Abstract
Background: Renal cell carcinoma (RCC) accounts for more than 80% of kidney cancers in adults, and obesity is a known risk factor. Regular consumption of sweetened beverages has been linked to obesity and several chronic diseases, including some types of cancer. It is uncertain whether soft drink and juice consumption is associated with risk of RCC. We investigated the associations of soft drink and juice consumption with RCC incidence and mortality in the European Prospective Investigation into Cancer and Nutrition (EPIC)., Methods: A total of 389,220 EPIC participants with median age of 52 years at recruitment (1991-2000) were included. Cox regression yielded adjusted HRs and 95% confidence intervals (CI) for RCC incidence and mortality in relation to intakes of juices and total, sugar-sweetened, and artificially sweetened soft drinks., Results: A total of 888 incident RCCs and 356 RCC deaths were identified. In models including adjustment for body mass index and energy intake, there was no higher risk of incident RCC associated with consumption of juices (HR per 100 g/day increment = 1.03; 95% CI, 0.97-1.09), total soft drinks (HR = 1.01; 95% CI, 0.98-1.05), sugar-sweetened soft drinks (HR = 0.99; 95% CI, 0.94-1.05), or artificially sweetened soft drinks (HR = 1.02; 95% CI, 0.96-1.08). In these fully adjusted models, none of the beverages was associated with RCC mortality (HR, 95% CI per 100 g/day increment 1.06, 0.97-1.16; 1.03, 0.98-1.09; 0.97, 0.89-1.07; and 1.06, 0.99-1.14, respectively)., Conclusions: Consumption of juices or soft drinks was not associated with RCC incidence or mortality after adjusting for obesity., Impact: Soft drink and juice intakes are unlikely to play an independent role in RCC development or mortality., (©2021 American Association for Cancer Research.)
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- 2021
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41. Prioritisation by FIT to mitigate the impact of delays in the 2-week wait colorectal cancer referral pathway during the COVID-19 pandemic: a UK modelling study.
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Loveday C, Sud A, Jones ME, Broggio J, Scott S, Gronthound F, Torr B, Garrett A, Nicol DL, Jhanji S, Boyce SA, Williams M, Barry C, Riboli E, Kipps E, McFerran E, Muller DC, Lyratzopoulos G, Lawler M, Abulafi M, Houlston RS, and Turnbull C
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- Critical Pathways, Early Detection of Cancer, Humans, Immunochemistry methods, Infection Control methods, Life Tables, Mortality, SARS-CoV-2, United Kingdom epidemiology, COVID-19 epidemiology, COVID-19 prevention & control, Colonoscopy methods, Colonoscopy standards, Colorectal Neoplasms diagnosis, Colorectal Neoplasms mortality, Cross Infection prevention & control, Delayed Diagnosis adverse effects, Delayed Diagnosis statistics & numerical data, Occult Blood, Risk Assessment methods
- Abstract
Objective: To evaluate the impact of faecal immunochemical testing (FIT) prioritisation to mitigate the impact of delays in the colorectal cancer (CRC) urgent diagnostic (2-week-wait (2WW)) pathway consequent from the COVID-19 pandemic., Design: We modelled the reduction in CRC survival and life years lost resultant from per-patient delays of 2-6 months in the 2WW pathway. We stratified by age group, individual-level benefit in CRC survival versus age-specific nosocomial COVID-19-related fatality per referred patient undergoing colonoscopy. We modelled mitigation strategies using thresholds of FIT triage of 2, 10 and 150 µg Hb/g to prioritise 2WW referrals for colonoscopy. To construct the underlying models, we employed 10-year net CRC survival for England 2008-2017, 2WW pathway CRC case and referral volumes and per-day-delay HRs generated from observational studies of diagnosis-to-treatment interval., Results: Delay of 2/4/6 months across all 11 266 patients with CRC diagnosed per typical year via the 2WW pathway were estimated to result in 653/1419/2250 attributable deaths and loss of 9214/20 315/32 799 life years. Risk-benefit from urgent investigatory referral is particularly sensitive to nosocomial COVID-19 rates for patients aged >60. Prioritisation out of delay for the 18% of symptomatic referrals with FIT >10 µg Hb/g would avoid 89% of these deaths attributable to presentational/diagnostic delay while reducing immediate requirement for colonoscopy by >80%., Conclusions: Delays in the pathway to CRC diagnosis and treatment have potential to cause significant mortality and loss of life years. FIT triage of symptomatic patients in primary care could streamline access to colonoscopy, reduce delays for true-positive CRC cases and reduce nosocomial COVID-19 mortality in older true-negative 2WW referrals. However, this strategy offers benefit only in short-term rationalisation of limited endoscopy services: the appreciable false-negative rate of FIT in symptomatic patients means most colonoscopies will still be required., Competing Interests: Competing interests: ML has received honoraria from Pfizer, EMD Merck Serono and Roche for speaking honoraria unrelated to this work. ML has received an unrestricted educational grant from Pfizer for research unrelated to this work., (© Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.)
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- 2021
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42. Sexual dimorphism in cancer: insights from transcriptional signatures in kidney tissue and renal cell carcinoma.
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Laskar RS, Li P, Ecsedi S, Abedi-Ardekani B, Durand G, Robinot N, Hubert JN, Janout V, Zaridze D, Mukeria A, Mates D, Holcatova I, Foretova L, Swiatkowska B, Dzamic Z, Milosavljevic S, Olaso R, Boland A, Deleuze JF, Muller DC, McKay JD, Brennan P, Le Calvez-Kelm F, Scelo G, and Chanudet E
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- Aged, Biomarkers, Tumor metabolism, Carcinoma, Renal Cell metabolism, Disease Progression, Female, Genes, Tumor Suppressor, Genes, X-Linked, Genetic Association Studies, Genome-Wide Association Study, Humans, Kidney Neoplasms metabolism, Male, Middle Aged, Prognosis, Carcinoma, Renal Cell genetics, Gene Expression Profiling, Gene Expression Regulation, Neoplastic, Genetic Predisposition to Disease, Kidney Neoplasms genetics, Sex Characteristics
- Abstract
Sexual dimorphism in cancer incidence and outcome is widespread. Understanding the underlying mechanisms is fundamental to improve cancer prevention and clinical management. Sex disparities are particularly striking in kidney cancer: across diverse populations, men consistently show unexplained 2-fold increased incidence and worse prognosis. We have characterized genome-wide expression and regulatory networks of 609 renal tumors and 256 non-tumor renal tissues. Normal kidney displayed sex-specific transcriptional signatures, including higher expression of X-linked tumor suppressor genes in women. Sex-dependent genotype-phenotype associations unraveled women-specific immune regulation. Sex differences were markedly expanded in tumors, with male-biased expression of key genes implicated in metabolism, non-malignant diseases with male predominance and carcinogenesis, including markers of tumor infiltrating leukocytes. Analysis of sex-dependent RCC progression and survival uncovered prognostic markers involved in immune response and oxygen homeostasis. In summary, human kidney tissues display remarkable sexual dimorphism at the molecular level. Sex-specific transcriptional signatures further shape renal cancer, with relevance for clinical management., (© World Health Organization, 2021. All rights reserved. The World Health Organization has granted the Publisher permission for the reproduction of this article.)
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- 2021
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43. Weight change in middle adulthood and risk of cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort.
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Christakoudi S, Pagoni P, Ferrari P, Cross AJ, Tzoulaki I, Muller DC, Weiderpass E, Freisling H, Murphy N, Dossus L, Turzanski Fortner R, Agudo A, Overvad K, Perez-Cornago A, Key TJ, Brennan P, Johansson M, Tjønneland A, Halkjaer J, Boutron-Ruault MC, 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, Quirós JR, Rodriguez-Barranco M, Chirlaque MD, Ardanaz E, Amiano P, Drake I, Stocks T, Häggström C, Harlid S, Ellingjord-Dale M, Riboli E, and Tsilidis KK
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- Body Mass Index, Breast Neoplasms complications, Cohort Studies, Correlation of Data, Endometrial Neoplasms complications, Europe, Female, Humans, Kidney Neoplasms complications, Male, Middle Aged, Nutrition Assessment, Ovarian Neoplasms complications, Pancreatic Neoplasms complications, Proportional Hazards Models, Prospective Studies, Risk Factors, Neoplasms complications, Obesity complications, Overweight complications
- 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., (© 2020 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of Union for International Cancer Control.)
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- 2021
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44. Response to Li and Hopper.
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Thomas M, Sakoda LC, Hoffmeister M, Rosenthal EA, Lee JK, van Duijnhoven FJB, Platz EA, Wu AH, Dampier CH, de la Chapelle A, Wolk A, Joshi AD, Burnett-Hartman A, Gsur A, Lindblom A, Castells A, Win AK, Namjou B, Van Guelpen B, Tangen CM, He Q, Li CI, Schafmayer C, Joshu CE, Ulrich CM, Bishop DT, Buchanan DD, Schaid D, Drew DA, Muller DC, Duggan D, Crosslin DR, Albanes D, Giovannucci EL, Larson E, Qu F, Mentch F, Giles GG, Hakonarson H, Hampel H, Stanaway IB, Figueiredo JC, Huyghe JR, Minnier J, Chang-Claude J, Hampe J, Harley JB, Visvanathan K, Curtis KR, Offit K, Li L, Le Marchand L, Vodickova L, Gunter MJ, Jenkins MA, Slattery ML, Lemire M, Woods MO, Song M, Murphy N, Lindor NM, Dikilitas O, Pharoah PDP, Campbell PT, Newcomb PA, Milne RL, MacInnis RJ, Castellví-Bel S, Ogino S, Berndt SI, Bézieau S, Thibodeau SN, Gallinger SJ, Zaidi SH, Harrison TA, Keku TO, Hudson TJ, Vymetalkova V, Moreno V, Martín V, Arndt V, Wei WQ, Chung W, Su YR, Hayes RB, White E, Vodicka P, Casey G, Gruber SB, Schoen RE, Chan AT, Potter JD, Brenner H, Jarvik GP, Corley DA, Peters U, and Hsu L
- Subjects
- Humans, Risk Factors, Colorectal Neoplasms
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- 2021
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45. Risk Prediction for Renal Cell Carcinoma: Results from the European Prospective Investigation into Cancer and Nutrition (EPIC) Prospective Cohort Study.
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Singleton RK, Heath AK, Clasen JL, Scelo G, Johansson M, Calvez-Kelm FL, Weiderpass E, Liedberg F, Ljungberg B, Harbs J, Olsen A, Tjønneland A, Dahm CC, Kaaks R, Fortner RT, Panico S, Tagliabue G, Masala G, Tumino R, Ricceri F, Gram IT, Santiuste C, Bonet C, Rodriguez-Barranco M, Schulze MB, Bergmann MM, Travis RC, Tzoulaki I, Riboli E, and Muller DC
- Subjects
- Early Diagnosis, Europe, Humans, Incidence, Prospective Studies, Risk Factors, Carcinoma, Renal Cell epidemiology, Kidney Neoplasms epidemiology, Nutrition Assessment
- Abstract
Background: Early detection of renal cell carcinoma (RCC) has the potential to improve disease outcomes. No screening program for sporadic RCC is in place. Given relatively low incidence, screening would need to focus on people at high risk of clinically meaningful disease so as to limit overdiagnosis and screen-detected false positives., Methods: Among 192,172 participants from the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort (including 588 incident RCC cases), we evaluated a published RCC risk prediction model (including age, sex, BMI, and smoking status) in terms of discrimination (C-statistic) and calibration (observed probability as a function of predicted probability). We used a flexible parametric survival model to develop an expanded model including age, sex, BMI, and smoking status, with the addition of self-reported history of hypertension and measured blood pressure., Results: The previously published model yielded well-calibrated probabilities and good discrimination (C-statistic [95% CI]: 0.699 [0.679-0.721]). Our model had slightly improved discrimination (0.714 [0.694-0.735], bootstrap optimism-corrected C-statistic: 0.709). Despite this good performance, predicted risk was low for the vast majority of participants, with 70% of participants having 10-year risk less than 0.0025., Conclusions: Although the models performed well for the prediction of incident RCC, they are currently insufficiently powerful to identify individuals at substantial risk of RCC in a general population., Impact: Despite the promising performance of the EPIC RCC risk prediction model, further development of the model, possibly including biomarkers of risk, is required to enable risk stratification of RCC., (©2020 American Association for Cancer Research.)
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- 2021
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46. Components of one-carbon metabolism and renal cell carcinoma: a systematic review and meta-analysis.
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Clasen JL, Heath AK, Scelo G, and Muller DC
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- Bayes Theorem, Carbon, Folic Acid, Humans, Risk Factors, Vitamin B 12, Vitamin B 6, Carcinoma, Renal Cell epidemiology, Carcinoma, Renal Cell etiology, Kidney Neoplasms epidemiology
- Abstract
Purpose: Little is known about the aetiology of renal cell carcinoma (RCC). Components of one-carbon (1C) metabolism, which are required for nucleotide synthesis and methylation reactions, may be related to risk of RCC but existing evidence is inconclusive. We conducted a systematic review and independent exposure-specific meta-analyses of dietary intake and circulating biomarkers of 1C metabolites and RCC risk., Methods: Medline and Embase databases were searched for observational studies investigating RCC or kidney cancer incidence or mortality in relation to components of 1C metabolism and 12 eligible articles were included in the meta-analyses. We used Bayesian meta-analyses to estimate summary relative risks (RRs) and 95% credible intervals (CrIs) comparing the highest versus lowest categories as well as the between-study heterogeneity., Results: We did not find convincing evidence of an association between any exposure (riboflavin, vitamin B
6 , folate, vitamin B12 , methionine, homocysteine, choline, or betaine) and RCC risk. However, vitamin B6 biomarker status did have a protective (RR = 0.62) but imprecise (95% CrI 0.39-1.14) effect estimate and folate intake had a notable association as well (RR = 0.85, 95% CrI 0.71-1.01)., Conclusion: There was a lack of precision due largely to the low number of studies. Further investigation is warranted, especially for folate and vitamin B6 , which had consistent suggestive evidence of a protective effect for both dietary intake and biomarker status. A unique strength of this review is the use of Bayesian meta-analyses which allowed for robust estimation of between-study heterogeneity.- Published
- 2020
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47. Anthropometry, body fat composition and reproductive factors and risk of oesophageal and gastric cancer by subtype and subsite in the UK Biobank cohort.
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Sanikini H, Muller DC, Chadeau-Hyam M, Murphy N, Gunter MJ, and Cross AJ
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- Adipose Tissue, Adult, Aged, Anthropometry, Esophageal Neoplasms classification, Esophageal Neoplasms etiology, Female, Humans, Male, Middle Aged, Obesity complications, Prospective Studies, Reproductive History, Risk Assessment, Sex Characteristics, Stomach Neoplasms classification, Stomach Neoplasms etiology, United Kingdom epidemiology, Waist Circumference, Waist-Hip Ratio, Abortion, Spontaneous epidemiology, Biological Specimen Banks, Esophageal Neoplasms epidemiology, Obesity epidemiology, Stillbirth epidemiology, Stomach Neoplasms epidemiology
- Abstract
Background: Obesity has been positively associated with upper gastrointestinal cancers, but prospective data by subtype/subsite are limited. Obesity influences hormonal factors, which may play a role in these cancers. We examined anthropometry, body fat and reproductive factors in relation to oesophageal and gastric cancer by subtype/subsite in the UK Biobank cohort., Methods: Among 458,713 UK Biobank participants, 339 oesophageal adenocarcinomas, 124 oesophageal squamous cell carcinomas, 137 gastric cardia and 92 gastric non-cardia cancers were diagnosed during a mean of 6.5 years follow-up. Cox models estimated multivariable hazard ratios (HRs) and 95% confidence intervals (CIs)., Results: Body mass index (BMI), hip circumference, waist circumference, waist-to-hip ratio, waist-to-height ratio, total body fat and trunk fat were positively associated with oesophageal adenocarcinoma (highest vs lowest category: HR = 2.33, 95%-CI:1.65-3.28; HR = 1.56, 95%-CI:1.15-2.13; HR = 2.30, 95%-CI:1.47-3.57; HR = 1.71, 95%-CI:1.01-2.90; HR = 2.87, 95%-CI:1.88-4.38; HR = 1.96, 95%-CI:1.30-2.96; HR = 2.34, 95%-CI:1.70-3.22, respectively). Although there were no statistically significant associations in combined sex analyses, BMI (HR = 1.83, 95%-CI:1.00-3.37), waist circumference (HR = 2.21, 95%-CI:1.27-3.84) and waist-to-hip ratio (HR = 1.92, 95%-CI:1.11-3.29) were associated with gastric cardia cancer in men; however, mutual adjustment attenuated the associations for BMI and waist-to-hip ratio. For oesophageal squamous cell carcinoma, statistically significant inverse associations were observed among women for BMI, hip circumference, waist circumference, waist-to-height ratio, total body fat and trunk fat, although they were based on small numbers. In addition, older age at first (HR = 0.44, 95%-CI:0.22-0.88) and last live birth (HR = 0.44, 95%-CI:0.22-0.87) were inversely associated with oesophageal squamous cell carcinoma and having a stillbirth/miscarriage/termination was positively associated (HR = 1.84, 95%-CI:1.10-3.07)., Conclusions: Obesity and abdominal obesity specifically may be a risk factor for oesophageal adenocarcinoma and gastric cardia cancer in men. Some reproductive factors may be associated with oesophageal squamous cell carcinoma in women., Competing Interests: The authors have declared that no competing interests exist.
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- 2020
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48. WITHDRAWAL-Administrative Duplicate Publication: The essential role of prevention in reducing the cancer burden in Europe: a commentary from Cancer Prevention Europe.
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Espina C, Bauld L, Bonanni B, Brenner H, Brown K, Dillner J, Kampman E, Nilbert M, Vineis P, Weijenberg MP, Cox A, de Kok TM, Fecht D, Mitrou G, Muller DC, Serrano D, Steindorf K, Storm H, Thorat MA, van Duijnhoven F, Weiderpass E, and Schüz J
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- 2020
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49. Genome-wide Modeling of Polygenic Risk Score in Colorectal Cancer Risk.
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Thomas M, Sakoda LC, Hoffmeister M, Rosenthal EA, Lee JK, van Duijnhoven FJB, Platz EA, Wu AH, Dampier CH, de la Chapelle A, Wolk A, Joshi AD, Burnett-Hartman A, Gsur A, Lindblom A, Castells A, Win AK, Namjou B, Van Guelpen B, Tangen CM, He Q, Li CI, Schafmayer C, Joshu CE, Ulrich CM, Bishop DT, Buchanan DD, Schaid D, Drew DA, Muller DC, Duggan D, Crosslin DR, Albanes D, Giovannucci EL, Larson E, Qu F, Mentch F, Giles GG, Hakonarson H, Hampel H, Stanaway IB, Figueiredo JC, Huyghe JR, Minnier J, Chang-Claude J, Hampe J, Harley JB, Visvanathan K, Curtis KR, Offit K, Li L, Le Marchand L, Vodickova L, Gunter MJ, Jenkins MA, Slattery ML, Lemire M, Woods MO, Song M, Murphy N, Lindor NM, Dikilitas O, Pharoah PDP, Campbell PT, Newcomb PA, Milne RL, MacInnis RJ, Castellví-Bel S, Ogino S, Berndt SI, Bézieau S, Thibodeau SN, Gallinger SJ, Zaidi SH, Harrison TA, Keku TO, Hudson TJ, Vymetalkova V, Moreno V, Martín V, Arndt V, Wei WQ, Chung W, Su YR, Hayes RB, White E, Vodicka P, Casey G, Gruber SB, Schoen RE, Chan AT, Potter JD, Brenner H, Jarvik GP, Corley DA, Peters U, and Hsu L
- Subjects
- Aged, Asian People genetics, Bayes Theorem, Colorectal Neoplasms genetics, Colorectal Neoplasms pathology, Female, Genome-Wide Association Study, Humans, Male, Middle Aged, Multifactorial Inheritance genetics, Polymorphism, Single Nucleotide genetics, Risk Factors, Colorectal Neoplasms epidemiology, Genetic Predisposition to Disease, Genome, Human genetics, Risk Assessment
- Abstract
Accurate colorectal cancer (CRC) risk prediction models are critical for identifying individuals at low and high risk of developing CRC, as they can then be offered targeted screening and interventions to address their risks of developing disease (if they are in a high-risk group) and avoid unnecessary screening and interventions (if they are in a low-risk group). As it is likely that thousands of genetic variants contribute to CRC risk, it is clinically important to investigate whether these genetic variants can be used jointly for CRC risk prediction. In this paper, we derived and compared different approaches to generating predictive polygenic risk scores (PRS) from genome-wide association studies (GWASs) including 55,105 CRC-affected case subjects and 65,079 control subjects of European ancestry. We built the PRS in three ways, using (1) 140 previously identified and validated CRC loci; (2) SNP selection based on linkage disequilibrium (LD) clumping followed by machine-learning approaches; and (3) LDpred, a Bayesian approach for genome-wide risk prediction. We tested the PRS in an independent cohort of 101,987 individuals with 1,699 CRC-affected case subjects. The discriminatory accuracy, calculated by the age- and sex-adjusted area under the receiver operating characteristics curve (AUC), was highest for the LDpred-derived PRS (AUC = 0.654) including nearly 1.2 M genetic variants (the proportion of causal genetic variants for CRC assumed to be 0.003), whereas the PRS of the 140 known variants identified from GWASs had the lowest AUC (AUC = 0.629). Based on the LDpred-derived PRS, we are able to identify 30% of individuals without a family history as having risk for CRC similar to those with a family history of CRC, whereas the PRS based on known GWAS variants identified only top 10% as having a similar relative risk. About 90% of these individuals have no family history and would have been considered average risk under current screening guidelines, but might benefit from earlier screening. The developed PRS offers a way for risk-stratified CRC screening and other targeted interventions., (Copyright © 2020 American Society of Human Genetics. All rights reserved.)
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- 2020
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50. A Body Shape Index (ABSI) achieves better mortality risk stratification than alternative indices of abdominal obesity: results from a large European cohort.
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Christakoudi S, Tsilidis KK, Muller DC, Freisling H, Weiderpass E, Overvad K, Söderberg S, Häggström C, Pischon T, Dahm CC, Zhang J, Tjønneland A, Halkjær J, MacDonald C, Boutron-Ruault MC, Mancini FR, Kühn T, Kaaks R, Schulze MB, Trichopoulou A, Karakatsani A, Peppa E, Masala G, Pala V, Panico S, Tumino R, Sacerdote C, Quirós JR, Agudo A, Sánchez MJ, Cirera L, Barricarte-Gurrea A, Amiano P, Memarian E, Sonestedt E, Bueno-de-Mesquita B, May AM, Khaw KT, Wareham NJ, Tong TYN, Huybrechts I, Noh H, Aglago EK, Ellingjord-Dale M, Ward HA, Aune D, and Riboli E
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- Body Mass Index, Cohort Studies, Europe, Female, Humans, Male, Proportional Hazards Models, Risk Factors, Waist Circumference physiology, Waist-Hip Ratio, Obesity, Abdominal mortality
- Abstract
Abdominal and general adiposity are independently associated with mortality, but there is no consensus on how best to assess abdominal adiposity. We compared the ability of alternative waist indices to complement body mass index (BMI) when assessing all-cause mortality. We used data from 352,985 participants in the European Prospective Investigation into Cancer and Nutrition (EPIC) and Cox proportional hazards models adjusted for other risk factors. During a mean follow-up of 16.1 years, 38,178 participants died. Combining in one model BMI and a strongly correlated waist index altered the association patterns with mortality, to a predominantly negative association for BMI and a stronger positive association for the waist index, while combining BMI with the uncorrelated A Body Shape Index (ABSI) preserved the association patterns. Sex-specific cohort-wide quartiles of waist indices correlated with BMI could not separate high-risk from low-risk individuals within underweight (BMI < 18.5 kg/m
2 ) or obese (BMI ≥ 30 kg/m2 ) categories, while the highest quartile of ABSI separated 18-39% of the individuals within each BMI category, which had 22-55% higher risk of death. In conclusion, only a waist index independent of BMI by design, such as ABSI, complements BMI and enables efficient risk stratification, which could facilitate personalisation of screening, treatment and monitoring.- Published
- 2020
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