Red meat intake, NAT2, and risk of colorectal cancer: a pooled analysis of 11 studies
Ananthakrishnan AN, Du M, Berndt SI, Brenner H, Caan BJ, Casey G, Chang-Claude J, Duggan D, Fuchs CS, Gallinger S, Giovannucci EL, Harrison TA, Hayes RB, Hoffmeister M, Hopper JL, Hou L, Hsu L, Jenkins MA, Kraft P, Ma J, Nan H, Newcomb PA, Ogino S, Potter JD, Seminara D, Slattery ML, Thornquist M, White E, Wu K, Peters U, Chan AT
Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 27 citations
Review labels
Neutral facts our review recorded about how this study was done. They describe method, never whether we like the result.
How it was studied
- Design
- Case-control study (indexed by PubMed)
- Studied in
- People
- Main outcome
- Clinical events such as disease or death
- Intake measured by
- Not stated
Who paid for it
- Funding
- Independent funding
- Government
- National Institutes of Health
- Government
- National Human Genome Research Institute
- Government
- National Cancer Institute
- Government
- National Institute of Diabetes and Digestive and Kidney Diseases
- Government
- NCI NIH HHS
- Government
- Intramural NIH HHS
- Government
- NIDDK NIH HHS
- Government
- NHGRI NIH HHS
- Grants
- National Cancer Institute (R01 CA048998); National Cancer Institute (U24-CA074794); National Cancer Institute (P01 CA055075.); National Human Genome Research Institute (GEI U01 HG 004438); National Cancer Institute (K05-CA154337); National Cancer Institute (P01 CA087969); National Cancer Institute (U01 CA137088); National Cancer Institute (U01 CA 074794); National Cancer Institute (R01CA143237); National Cancer Institute (U24 CA074800); National Cancer Institute (R01 CA48998); National Cancer Institute (R01CA059045.); National Cancer Institute (U01CA074800); National Cancer Institute (U01 CA074783); National Cancer Institute (UM1CA167551); National Cancer Institute (UM1-CA-167552); National Cancer Institute (U01/U24 CA074794); National Human Genome Research Institute (U01- HG004446); National Cancer Institute (U01CA122839); National Cancer Institute (U01CA 097735); National Institute of Diabetes and Digestive and Kidney Diseases (K23 DK097142); National Cancer Institute (U01/U24CA097735); National Cancer Institute (R01-CA137178); National Cancer Institute (R25 CA094880); National Cancer Institute (P50-CA127003); National Cancer Institute (U01/U24CA074783); National Cancer Institute (U01 CA164930); National Cancer Institute (U24 CA097735); National Institute of Diabetes and Digestive and Kidney Diseases (K24 [DK]098311); National Cancer Institute (R01 CA076366); National Cancer Institute (U24 CA074783); National Human Genome Research Institute (U01-HG004438); National Institutes of Health (Z01 CP010200); National Cancer Institute (R01-CA151993); National Cancer Institute (R01 CA042182)
Based on 8 listed funder(s).
Publication
- Published
- 2014-10-24 · Cancer Epidemiol Biomarkers Prev · vol. 24 · issue 1 · pp. 198–205
- Publisher
- American Association for Cancer Research
- Cited
- 44 citations · more than 82% of similar papers · 1.6× the field average
- References
- 55 works
- Access
- Open access (repository copy)
- Research areas
- Carcinogens and Genotoxicity Assessment · Metabolomics and Mass Spectrometry Studies · Nutritional Studies and Diet
- Keywords
- Red meat, Colorectal cancer, Medicine, Pooled analysis, Oncology, Cancer, Internal medicine, Physiology, Food science, Biology, Pathology, Meta-analysis
- MeSH
- humans, colorectal neoplasms, arylamine n-acetyltransferase, risk factors, case-control studies, genotype, quality control, meat, middle aged, female, male
31 authors
From US, DE, CA, AU, NZ
- Ashwin N. AnanthakrishnanMassachusetts General Hospital
- Mengmeng DuFred Hutch Cancer Center
- Sonja I. BerndtNational Institutes of Health; National Cancer Institute
- Hermann BrennerGerman Cancer Research Center; Heidelberg University; Deutsches Konsortium für Translationale Krebsforschung
- Bette Jane CaanKaiser Permanente Oakland Medical Center
- Graham CaseyUniversity of Southern California
Abstract
Background
Red meat intake has been associated with risk of colorectal cancer, potentially mediated through heterocyclic amines. The metabolic efficiency of N-acetyltransferase 2 (NAT2) required for the metabolic activation of such amines is influenced by genetic variation. The interaction between red meat intake, NAT2 genotype, and colorectal cancer has been inconsistently reported.
Methods
We used pooled individual-level data from the Colon Cancer Family Registry and the Genetics and Epidemiology of Colorectal Cancer Consortium. Red meat intake was collected by each study. We inferred NAT2 phenotype based on polymorphism at rs1495741, highly predictive of enzyme activity. Interaction was assessed using multiplicative interaction terms in multivariate-adjusted models.
Results
From 11 studies, 8,290 colorectal cancer cases and 9,115 controls were included. The highest quartile of red meat intake was associated with increased risk of colorectal cancer compared with the lowest quartile [OR, 1.41; 95% confidence interval (CI), 1.29-1.55]. However, a significant association was observed only for studies with retrospective diet data, not for studies with diet prospectively assessed before cancer diagnosis. Combining all studies, high red meat intake was similarly associated with colorectal cancer in those with a rapid/intermediate NAT2 genotype (OR, 1.38; 95% CI, 1.20-1.59) as with a slow genotype (OR, 1.43; 95% CI, 1.28-1.61; P interaction = 0.9).
Conclusion
We found that high red meat intake was associated with increased risk of colorectal cancer only from retrospective case-control studies and not modified by NAT2 enzyme activity.
Impact
Our results suggest no interaction between NAT2 genotype and red meat intake in mediating risk of colorectal cancer.
Abstract via Europe PMC. Copyright remains with the authors or publisher.
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