Asian Science Citation Index is committed to provide an authoritative, trusted and significant information by the coverage of the most important and influential journals to meet the needs of the global scientific community.  
ASCI Database
308-Lasani Town,
Sargodha Road,
Faisalabad, Pakistan
Fax: +92-41-8815544
Contact Via Web
Suggest a Journal
 
Articles by A Hutchinson
Total Records ( 2 ) for A Hutchinson
  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.

  P Bhatti , P. A Stewart , A Hutchinson , N Rothman , M. S Linet , P. D Inskip and P. Rajaraman
 

There is some evidence that oxidative stress plays a role in lead-induced toxicity. Mechanisms for dealing with oxidative stress may be of particular relevance in the brain given the high rate of oxygen metabolism. Using a hospital-based case-control study, we investigated the role of oxidative stress in the potential carcinogenicity of lead through examination of effect modification of the association between occupational lead exposure and brain tumors by single nucleotide polymorphisms in genes with functions related to oxidative stress. The study included 362 patients with glioma (176 of which had glioblastoma multiforme), 134 patients with meningioma, and 494 controls. Lead exposure was estimated by expert review of detailed job history data for each participant. We evaluated effect modification with 142 single nucleotide polymorphisms using likelihood ratio tests that compared nested unconditional logistic regression models that did and did not include a cross-product term for cumulative lead exposure and genotype. When the analyses were restricted to cases with glioblastoma multiforme, RAC2 rs2239774 and two highly correlated GPX1 polymorphisms (rs1050450 and rs18006688) were found to significantly modify the association with lead exposure (P ≤ 0.05) after adjustment for multiple comparisons. Furthermore, the same GPX1 polymorphisms and XDH rs7574920 were found to significantly modify the association between cumulative lead exposure and meningioma. Although the results of this study provide some evidence that lead may cause glioblastoma multiforme and meningioma through mechanisms related to oxidative damage, the results must be confirmed in other populations. (Cancer Epidemiol Biomarkers Prev 2009;18(6):1841–8)

 
 
 
Copyright   |   Desclaimer   |    Privacy Policy   |   Browsers   |   Accessibility