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 · 28 citas
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Cómo se estudió
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- Estudio de casos y controles (indexado por PubMed)
- Estudiado en
- Personas
- Resultado principal
- Eventos clínicos como enfermedad o muerte
- Consumo medido con
- No se indica
Quién lo pagó
- Financiación
- Financiación independiente
- Gobierno
- National Institutes of Health
- Gobierno
- National Human Genome Research Institute
- Gobierno
- National Cancer Institute
- Gobierno
- National Institute of Diabetes and Digestive and Kidney Diseases
- Gobierno
- NCI NIH HHS
- Gobierno
- Intramural NIH HHS
- Gobierno
- NIDDK NIH HHS
- Gobierno
- NHGRI NIH HHS
- Subvenciones
- 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)
Según 8 financiadores declarados.
Publicación
- Publicado
- 2014-10-24 · Cancer Epidemiol Biomarkers Prev · vol. 24 · número 1 · págs. 198–205
- Editorial
- American Association for Cancer Research
- Citado
- 44 citas · más que el 82% de estudios similares · 1.6× el promedio de su campo
- Referencias
- 55 trabajos
- Acceso
- Acceso abierto (copia en repositorio)
- Áreas de investigación
- Carcinogens and Genotoxicity Assessment · Metabolomics and Mass Spectrometry Studies · Nutritional Studies and Diet
- Palabras clave
- 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 autores
- Ashwin N. Ananthakrishnan🇺🇸Massachusetts General Hospital
- Mengmeng Du🇺🇸Fred Hutch Cancer Center
- Sonja I. Berndt🇺🇸National Institutes of Health; National Cancer Institute
- Hermann Brenner🇩🇪German Cancer Research Center; Heidelberg University; Deutsches Konsortium für Translationale Krebsforschung
- Bette Jane Caan🇺🇸Kaiser Permanente Oakland Medical Center
- Graham Casey🇺🇸University of Southern California
- Jenny C. Chang-Claude🇩🇪German Cancer Research Center; Heidelberg University; Deutsches Konsortium für Translationale Krebsforschung
- David J Duggan🇺🇸Translational Genomics Research Institute
- Charles S. Fuchs🇺🇸Dana-Farber Cancer Institute
- Steven Gallinger🇨🇦Mount Sinai Hospital; University Health Network; Sinai Health System
- Edward L. Giovannucci🇺🇸Massachusetts Department of Public Health
- Tabitha A. Harrison🇺🇸Fred Hutch Cancer Center
- Richard B. Hayes🇺🇸New York University
- Michael Hoffmeister🇩🇪German Cancer Research Center; Deutsches Konsortium für Translationale Krebsforschung
- John Llewelyn Hopper🇦🇺The University of Melbourne
- Lifang HouRobert H. Lurie Comprehensive Cancer Center of Northwestern University
- Li Hsu🇺🇸Fred Hutch Cancer Center
- Mark A. Jenkins🇦🇺The University of Melbourne
- Peter Kraft🇺🇸Massachusetts Department of Public Health
- Jing Ma🇺🇸Dana-Farber Cancer Institute
- Hongmei Nan🇺🇸Indiana University Health; Richard M. Fairbanks Foundation; Indiana University – Purdue University Indianapolis
- Polly A. Newcomb🇺🇸Fred Hutch Cancer Center
- Shuji Ogino🇺🇸Brigham and Women's Hospital; Massachusetts Department of Public Health
- John D. Potter🇺🇸🇳🇿University of Washington; Fred Hutch Cancer Center; Massey University
- Daniela Seminara🇺🇸National Institutes of Health; National Cancer Institute
- Martha L. Slattery🇺🇸Utah Department of Health
- Mark D. Thornquist🇺🇸Fred Hutch Cancer Center
- Emily E. White🇺🇸Fred Hutch Cancer Center
- Kana Wu🇺🇸Massachusetts Department of Public Health
- Ulrike Peters🇺🇸 · autor de correspondenciaUniversity of Washington; Fred Hutch Cancer Center
- Andrew Tan Chan🇺🇸 · autor de correspondenciaMassachusetts General Hospital
Resumen
El texto original del estudio, en el idioma en que se publicó.
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.
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