Literature DB >> 12351157

Analysis of total meat intake and exposure to individual heterocyclic amines in a case-control study of colorectal cancer: contribution of metabolic variation to risk.

Susan Nowell1, Brian Coles, Rashmi Sinha, Stewart MacLeod, D Luke Ratnasinghe, Craig Stotts, Fred F Kadlubar, Christine B Ambrosone, Nicholas P Lang.   

Abstract

A case-control study of colorectal cancer, consisting of 157 cases and 380 controls matched by sex, ethnicity, decade of age and county of residence was performed to explore the associations between environmental exposure, metabolic polymorphisms and cancer risk. Participants were required to provide a blood sample, undergo caffeine phenotyping and complete an in-person interview that evaluated meat consumption, cooking methods and degree of doneness. A color atlas of foods cooked to different degrees of doneness was used to estimate food preparation techniques and food models were used to estimate serving portion sizes. Data was analyzed using a reference database of heterocyclic amine (HCA) exposure based on the food preferences chosen from the atlas. Data regarding individual food items cooked to different levels of doneness, as well as summary variables of foods and of food groups cooked to different degrees of doneness were also evaluated in a univariate analysis for association with colorectal cancer case status. Three measures of metabolic variation, hGSTA1 genotype, SULT1A1 genotype and the phenotype for CYP2A6 were also evaluated for possible association with colon cancer. While higher exposure to HCAs was strongly associated with colorectal cancer risk, increased consumption of five red meats cooked well done or very well done produced comparable odds ratios (OR) for colorectal cancer risk (OR=4.36, 95% CI 2.08-9.60) for the highest quartile of exposure. Similarly, individuals in the most rapid CYP2A6 phenotype quartile showed an odds ratio (OR = 4.18, 95% CI 2.03-8.90). The ORs for the low activity hGSTA1 and low activity SULT1A1 alleles were 2.0, 95% CI 1.0-3.7 and 0.6, 95% CI 0.3-1.1, respectively. Individual measures of specific HCAs provided little improvement in risk assessment over the measure of meat consumption, suggesting that exposure to other environmental or dietary carcinogens such as nitrosamines or undefined HCAs may contribute to colorectal cancer risk.

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Year:  2002        PMID: 12351157     DOI: 10.1016/s0027-5107(02)00164-1

Source DB:  PubMed          Journal:  Mutat Res        ISSN: 0027-5107            Impact factor:   2.433


  42 in total

1.  Body mass index, agricultural pesticide use, and cancer incidence in the Agricultural Health Study cohort.

Authors:  Gabriella Andreotti; Lifang Hou; Laura E Beane Freeman; Rajeev Mahajan; Stella Koutros; Joseph Coble; Jay Lubin; Aaron Blair; Jane A Hoppin; Michael Alavanja
Journal:  Cancer Causes Control       Date:  2010-08-22       Impact factor: 2.506

2.  Polymorphisms in heterocyclic aromatic amines metabolism-related genes are associated with colorectal adenoma risk.

Authors:  Monika Eichholzer; Sabine Rohrmann; Aline Barbir; Silke Hermann; Birgit Teucher; Rudolf Kaaks; Jakob Linseisen
Journal:  Int J Mol Epidemiol Genet       Date:  2012-05-15

3.  Polymorphisms in base excision repair genes as colorectal cancer risk factors and modifiers of the effect of diets high in red meat.

Authors:  Asgeir Brevik; Amit D Joshi; Román Corral; N Charlotte Onland-Moret; Kimberly D Siegmund; Loïc Le Marchand; John A Baron; Maria Elena Martinez; Robert W Haile; Dennis J Ahnen; Robert S Sandler; Peter Lance; Mariana C Stern
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2010-10-29       Impact factor: 4.254

4.  Disposition of the Dietary Mutagen 2-Amino-3,8-dimethylimidazo[4,5-f]quinoxaline in Healthy and Pancreatic Cancer Compromised Humans.

Authors:  Michael A Malfatti; Edward A Kuhn; Kenneth W Turteltaub; Selwyn M Vickers; Eric H Jensen; Lori Strayer; Kristin E Anderson
Journal:  Chem Res Toxicol       Date:  2016-03-08       Impact factor: 3.739

Review 5.  Sequencing XMET genes to promote genotype-guided risk assessment and precision medicine.

Authors:  Yaqiong Jin; Geng Chen; Wenming Xiao; Huixiao Hong; Joshua Xu; Yongli Guo; Wenzhong Xiao; Tieliu Shi; Leming Shi; Weida Tong; Baitang Ning
Journal:  Sci China Life Sci       Date:  2019-05-20       Impact factor: 6.038

6.  Carcinogen metabolism genes, red meat and poultry intake, and colorectal cancer risk.

Authors:  Jun Wang; Amit D Joshi; Román Corral; Kimberly D Siegmund; Loïc Le Marchand; Maria Elena Martinez; Robert W Haile; Dennis J Ahnen; Robert S Sandler; Peter Lance; Mariana C Stern
Journal:  Int J Cancer       Date:  2011-08-08       Impact factor: 7.396

7.  Meat consumption, heterocyclic amines and colorectal cancer risk: the Multiethnic Cohort Study.

Authors:  Nicholas J Ollberding; Lynne R Wilkens; Brian E Henderson; Laurence N Kolonel; Loïc Le Marchand
Journal:  Int J Cancer       Date:  2012-04-05       Impact factor: 7.396

8.  Red meat intake, doneness, polymorphisms in genes that encode carcinogen-metabolizing enzymes, and colorectal cancer risk.

Authors:  Michelle Cotterchio; Beatrice A Boucher; Michael Manno; Steven Gallinger; Allan B Okey; Patricia A Harper
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2008-11       Impact factor: 4.254

Review 9.  Well-done meat intake, heterocyclic amine exposure, and cancer risk.

Authors:  Wei Zheng; Sang-Ah Lee
Journal:  Nutr Cancer       Date:  2009       Impact factor: 2.900

10.  Heterocyclic aromatic amine pesticide use and human cancer risk: results from the U.S. Agricultural Health Study.

Authors:  Stella Koutros; Charles F Lynch; Xiaomei Ma; Won Jin Lee; Jane A Hoppin; Carol H Christensen; Gabriella Andreotti; Laura Beane Freeman; Jennifer A Rusiecki; Lifang Hou; Dale P Sandler; Michael C R Alavanja
Journal:  Int J Cancer       Date:  2009-03-01       Impact factor: 7.396

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