@article{SaberiHosnijehCasabonneNietersetal.2020, author = {Saberi Hosnijeh, Fatemeh and Casabonne, Delphine and Nieters, Alexandra and Solans, Marta and Naudin, Sabine and Ferrari, Pietro and Mckay, James D. and Benavente, Yolanda and Weiderpass, Elisabete and Freisling, Heinz and Severi, Gianluca and Boutron Ruault, Marie-Christine and Besson, Caroline and Agnoli, Claudia and Masala, Giovanna and Sacerdote, Carlotta and Tumino, Rosario and Huerta, Jose Maria and Amiano, Pilar and Rodriguez-Barranco, Miguel and Bonet, Catalina and Barricarte, Aurelio and Christakoudi, Sofia and Knuppel, Anika and Bueno-de-Mesquita, Bas and Schulze, Matthias Bernd and Kaaks, Rudolf and Canzian, Federico and Spath, Florentin and Jerkeman, Mats and Rylander, Charlotta and Tjonneland, Anne and Olsen, Anja and Borch, Kristin Benjaminsen and Vermeulen, Roel}, title = {Association between anthropometry and lifestyle factors and risk of B-cell lymphoma}, series = {International journal of cancer}, volume = {148}, journal = {International journal of cancer}, number = {9}, publisher = {Wiley}, address = {Hoboken}, issn = {0020-7136}, doi = {10.1002/ijc.33369}, pages = {2115 -- 2128}, year = {2020}, abstract = {To better understand the role of individual and lifestyle factors in human disease, an exposome-wide association study was performed to investigate within a single-study anthropometry measures and lifestyle factors previously associated with B-cell lymphoma (BCL). Within the European Prospective Investigation into Cancer and nutrition study, 2402 incident BCL cases were diagnosed from 475 426 participants that were followed-up on average 14 years. Standard and penalized Cox regression models as well as principal component analysis (PCA) were used to evaluate 84 exposures in relation to BCL risk. Standard and penalized Cox regression models showed a positive association between anthropometric measures and BCL and multiple myeloma/plasma cell neoplasm (MM). The penalized Cox models additionally showed the association between several exposures from categories of physical activity, smoking status, medical history, socioeconomic position, diet and BCL and/or the subtypes. PCAs confirmed the individual associations but also showed additional observations. The PC5 including anthropometry, was positively associated with BCL, diffuse large B-cell lymphoma (DLBCL) and MM. There was a significant positive association between consumption of sugar and confectionary (PC11) and follicular lymphoma risk, and an inverse association between fish and shellfish and Vitamin D (PC15) and DLBCL risk. The PC1 including features of the Mediterranean diet and diet with lower inflammatory score showed an inverse association with BCL risk, while the PC7, including dairy, was positively associated with BCL and DLBCL risk. Physical activity (PC10) was positively associated with DLBCL risk among women. This study provided informative insights on the etiology of BCL.}, language = {en} } @article{ChristakoudiPagoniFerrarietal.2020, author = {Christakoudi, Sofia and Pagoni, Panagiota and Ferrari, Pietro and Cross, Amanda J. and Tzoulaki, Ioanna and Muller, David C. and Weiderpass, Elisabete and Freisling, Heinz and Murphy, Neil and Dossus, Laure and Turzanski Fortner, Renee and Agudo, Antonio and Overvad, Kim and Perez-Cornago, Aurora and Key, Timothy J. and Brennan, Paul and Johansson, Mattias and Tjonneland, Anne and Halkjaer, Jytte and Boutron-Ruault, Marie-Christine and Artaud, Fanny and Severi, Gianluca and Kaaks, Rudolf and Schulze, Matthias Bernd and Bergmann, Manuela M. and Masala, Giovanna and Grioni, Sara and Simeon, Vittorio and Tumino, Rosario and Sacerdote, Carlotta and Skeie, Guri and Rylander, Charlotta and Borch, Kristin Benjaminsen and Quiros, J. Ramon and Rodriguez-Barranco, Miguel and Chirlaque, Maria-Dolores and Ardanaz, Eva and Amiano, Pilar and Drake, Isabel and Stocks, Tanja and H{\"a}ggstr{\"o}m, Christel and Harlid, Sophia and Ellingjord-Dale, Merete and Riboli, Elio and Tsilidis, Konstantinos K.}, title = {Weight change in middle adulthood and risk of cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC) cohort}, series = {International journal of cancer}, volume = {148}, journal = {International journal of cancer}, number = {7}, publisher = {Wiley}, address = {Hoboken}, issn = {0020-7136}, doi = {10.1002/ijc.33339}, pages = {1637 -- 1651}, year = {2020}, 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.}, language = {en} } @article{ZhengLuanSofianopoulouetal.2020, author = {Zheng, Ju-Sheng and Luan, Jian'an and Sofianopoulou, Eleni and Imamura, Fumiaki and Stewart, Isobel D. and Day, Felix R. and Pietzner, Maik and Wheeler, Eleanor and Lotta, Luca A. and Gundersen, Thomas E. and Amiano, Pilar and Ardanaz, Eva and Chirlaque, Maria-Dolores and Fagherazzi, Guy and Franks, Paul W. and Kaaks, Rudolf and Laouali, Nasser and Mancini, Francesca Romana and Nilsson, Peter M. and Onland-Moret, N. Charlotte and Olsen, Anja and Overvad, Kim and Panico, Salvatore and Palli, Domenico and Ricceri, Fulvio and Rolandsson, Olov and Spijkerman, Annemieke M. W. and Sanchez, Maria-Jose and Schulze, Matthias Bernd and Sala, Nuria and Sieri, Sabina and Tjonneland, Anne and Tumino, Rosario and van der Schouw, Yvonne T. and Weiderpass, Elisabete and Riboli, Elio and Danesh, John and Butterworth, Adam S. and Sharp, Stephen J. and Langenberg, Claudia and Forouhi, Nita G. and Wareham, Nicholas J.}, title = {Plasma vitamin C and type 2 diabetes}, series = {Diabetes care}, volume = {44}, journal = {Diabetes care}, number = {1}, publisher = {American Diabetes Association}, address = {Alexandria}, issn = {0149-5992}, doi = {10.2337/dc20-1328}, pages = {98 -- 106}, year = {2020}, abstract = {OBJECTIVE: Higher plasma vitamin C levels are associated with lower type 2 diabetes risk, but whether this association is causal is uncertain. To investigate this, we studied the association of genetically predicted plasma vitamin C with type 2 diabetes. RESEARCH DESIGN AND METHODS: We conducted genome-wide association studies of plasma vitamin C among 52,018 individuals of European ancestry to discover novel genetic variants. We performed Mendelian randomization analyses to estimate the association of genetically predicted differences in plasma vitamin C with type 2 diabetes in up to 80,983 case participants and 842,909 noncase participants. We compared this estimate with the observational association between plasma vitamin C and incident type 2 diabetes, including 8,133 case participants and 11,073 noncase participants. RESULTS: We identified 11 genomic regions associated with plasma vitamin C (P < 5 x 10(-8)), with the strongest signal at SLC23A1, and 10 novel genetic loci including SLC23A3, CHPT1, BCAS3, SNRPF, RER1, MAF, GSTA5, RGS14, AKT1, and FADS1. Plasma vitamin C was inversely associated with type 2 diabetes (hazard ratio per SD 0.88; 95\% CI 0.82, 0.94), but there was no association between genetically predicted plasma vitamin C (excluding FADS1 variant due to its apparent pleiotropic effect) and type 2 diabetes (1.03; 95\% CI 0.96, 1.10). CONCLUSIONS: These findings indicate discordance between biochemically measured and genetically predicted plasma vitamin C levels in the association with type 2 diabetes among European populations. The null Mendelian randomization findings provide no strong evidence to suggest the use of vitamin C supplementation for type 2 diabetes prevention.}, language = {en} }