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Articles by P Kraft
Total Records ( 3 ) for P Kraft
  A. A Arslan , K. J Helzlsouer , C Kooperberg , X. O Shu , E Steplowski , H. B Bueno de Mesquita , C. S Fuchs , M. D Gross , E. J Jacobs , A. Z LaCroix , G. M Petersen , R. Z Stolzenberg Solomon , W Zheng , D Albanes , L Amundadottir , W. R Bamlet , A Barricarte , S. A Bingham , H Boeing , M. C Boutron Ruault , J. E Buring , S. J Chanock , S Clipp , J. M Gaziano , E. L Giovannucci , S. E Hankinson , P Hartge , R. N Hoover , D. J Hunter , A Hutchinson , K. B Jacobs , P Kraft , S. M Lynch , J Manjer , J. E Manson , A McTiernan , R. R McWilliams , J. B Mendelsohn , D. S Michaud , D Palli , T. E Rohan , N Slimani , G Thomas , A Tjonneland , G. S Tobias , D Trichopoulos , J Virtamo , B. M Wolpin , K Yu , A Zeleniuch Jacquotte and A. V. Patel
 

Background  Obesity has been proposed as a risk factor for pancreatic cancer.

Methods  Pooled data were analyzed from the National Cancer Institute Pancreatic Cancer Cohort Consortium (PanScan) to study the association between prediagnostic anthropometric measures and risk of pancreatic cancer. PanScan applied a nested case-control study design and included 2170 cases and 2209 control subjects. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated using unconditional logistic regression for cohort-specific quartiles of body mass index (BMI [calculated as weight in kilograms divided by height in meters squared]), weight, height, waist circumference, and waist to hip ratio as well as conventional BMI categories (underweight, <18.5; normal weight, 18.5-24.9; overweight, 25.0-29.9; obese, 30.0-34.9; and severely obese, ≥35.0). Models were adjusted for potential confounders.

Results  In all of the participants, a positive association between increasing BMI and risk of pancreatic cancer was observed (adjusted OR for the highest vs lowest BMI quartile, 1.33; 95% CI, 1.12-1.58; Ptrend < .001). In men, the adjusted OR for pancreatic cancer for the highest vs lowest quartile of BMI was 1.33 (95% CI, 1.04-1.69; Ptrend < .03), and in women it was 1.34 (95% CI, 1.05-1.70; Ptrend = .01). Increased waist to hip ratio was associated with increased risk of pancreatic cancer in women (adjusted OR for the highest vs lowest quartile, 1.87; 95% CI, 1.31-2.69; Ptrend = .003) but less so in men.

Conclusions  These findings provide strong support for a positive association between BMI and pancreatic cancer risk. In addition, centralized fat distribution may increase pancreatic cancer risk, especially in women.

  K. L Penney , F. R Schumacher , H Li , P Kraft , J. S Morris , T Kurth , L. A Mucci , D. J Hunter , P. W Kantoff , M. J Stampfer and J. Ma
 

The role of selenium in prostate cancer (PCa) risk remains controversial, but many epidemiologic studies suggest an inverse association with more aggressive disease. A recently discovered selenoprotein, SEP15, which is highly expressed in the prostate, may play a role either independently or by modifying the effects of selenium. We genotyped four common single-nucleotide polymorphisms capturing common variation (frequency >5%; R2 > 0.8) within SEP15, as well as rs5859 in the 3' untranslated region, previously reported to reduce the efficiency of selenium incorporation into SEP15. We examined the association of these single-nucleotide polymorphisms with PCa risk and PCa-specific mortality, as well as their interactions with plasma selenium levels, in the Physicians' Health Study. In this nested case-control study (1,286 cases and 1,267 controls), SEP15 polymorphisms were not significantly associated with PCa risk. However, among the cases, three variants were significantly associated with PCa-specific mortality [rs479341 hazard ratio (HR), 1.94; 95% confidence interval (95% CI), 1.15-3.25; rs1407131 HR, 2.85; 95% CI, 1.45-5.59; rs561104 HR, 1.54; 95% CI, 1.12-2.11] with a recessive model. Additionally, rs561104 significantly modified the association of plasma selenium with PCa survival (Pinteraction = 0.02); an inverse relationship of high levels of selenium with PCa mortality was apparent only among those without the increased risk genotype. This study provides evidence that SEP15 genetic variation may influence PCa mortality. Additionally, the association of selenium with PCa mortality was modified by a variant, suggesting the possibility that some men with PCa may benefit more from selenium than others, depending on their genotype. Cancer Prev Res; 3(5); 604–10. ©2010 AACR.

  L Dossus , R Kaaks , F Canzian , D Albanes , S. I Berndt , H Boeing , J Buring , S. J Chanock , F Clavel Chapelon , H. S Feigelson , J. M Gaziano , E Giovannucci , C Gonzalez , C. A Haiman , G Hallmans , S. E Hankinson , R. B Hayes , B. E Henderson , R. N Hoover , D. J Hunter , K. T Khaw , L. N Kolonel , P Kraft , J Ma , L Le Marchand , E Lund , P. H.M Peeters , M Stampfer , D. O Stram , G Thomas , M. J Thun , A Tjonneland , D Trichopoulos , R Tumino , E Riboli , J Virtamo , S. J Weinstein , M Yeager , R. G Ziegler and D. G. Cox
 

Genes involved in the inflammation pathway have been associated with cancer risk. Genetic variants in the interleukin-6 (IL6) and prostaglandin-endoperoxide synthase-2 (PTGS2, encoding for the COX-2 enzyme) genes, in particular, have been related to several cancer types, including breast and prostate cancers. We conducted a study within the Breast and Prostate Cancer Cohort Consortium to examine the association between IL6 and PTGS2 polymorphisms and breast and prostate cancer risk. Twenty-seven polymorphisms, selected by pairwise tagging, were genotyped on 6292 breast cancer cases and 8135 matched controls and 8008 prostate cancer cases and 8604 matched controls. The large sample sizes and comprehensive single nucleotide polymorphism tagging in this study gave us excellent power to detect modest effects for common variants. After adjustment for multiple testing, none of the associations examined remained statistically significant at P = 0.01. In analyses not adjusted for multiple testing, one IL6 polymorphism (rs6949149) was marginally associated with breast cancer risk (TT versus GG, odds ratios (OR): 1.32; 99% confidence intervals (CI): 1.00–1.74, Ptrend = 0.003) and two were marginally associated with prostate cancer risk (rs6969502-AA versus rs6969502-GG, OR: 0.87, 99% CI: 0.75–1.02; Ptrend = 0.002 and rs7805828-AA versus rs7805828-GG, OR: 1.11, 99% CI: 0.99–1.26; Ptrend = 0.007). An increase in breast cancer risk was observed for the PTGS2 polymorphism rs7550380 (TT versus GG, OR: 1.38, 99% CI: 1.04–1.83). No association was observed between PTGS2 polymorphisms and prostate cancer risk. In conclusion, common genetic variation in these two genes might play at best a limited role in breast and prostate cancers.

 
 
 
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