Evidence map›Paper›PMID 25342387›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2015

Red meat intake, NAT2, and risk of colorectal cancer: a pooled analysis of 11 studies.

Ashwin N Ananthakrishnan, Mengmeng Du, Sonja I Berndt, Hermann Brenner, Bette J Caan, Graham Casey, Jenny Chang-Claude, David Duggan, Charles S Fuchs, Steven Gallinger and 21 more

Open access · bronzeAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 4 pooled it
5.1field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

24 citing papers in PubMed, 4 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
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  5. Article
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  10. The role of heterocyclic aromatic amines in colorectal cancer: the evidence from epidemiologic studies.Genes and environment : the official journal of the Japanese Environmental Mutagen Society · 2021
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

31 authors at 4 institutions in 2 countries.

Ashwin N AnanthakrishnanMassachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Mengmeng DuFred Hutchinson Cancer Research Center, Seattle, Washington.
Sonja I BerndtNational Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Hermann BrennerDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany. German Cancer Consortium, Heidelberg, Germany.
Bette J CaanKaiser Permanente Medical Care, Oakland, CA.
Graham CaseyUniversity of Southern California, Los Angeles, California.
Jenny Chang-ClaudeGerman Cancer Consortium, Heidelberg, Germany. Division of Cancer Epidemiology, German Cancer Research Center (DFKZ), Heidelberg, Germany.
David DugganTranslational Genomics Research Institute, Phoenix, Arizona.
Charles S FuchsDepartment of Medical Oncology, Dana Farber Cancer Institute, Boston, Massachusetts. Channing Division of Network Medicine, Boston, Massachusetts.
Steven GallingerMount Sinai Hospital and University Health Network Toronto General Hospital, Toronto, Canada.
Edward L GiovannucciChanning Division of Network Medicine, Boston, Massachusetts. Harvard School of Public Health, Boston, Massachusetts.
Tabitha A HarrisonFred Hutchinson Cancer Research Center, Seattle, Washington.
Richard B HayesNew York University School of Medicine, New York, New York.
Michael HoffmeisterGerman Cancer Consortium, Heidelberg, Germany.
John L HopperMelbourne School of Population Health, The University of Melbourne, Australia.
Lifang HouDepartment of Preventive Medicine and The Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Evanston, Illinois.
Li HsuFred Hutchinson Cancer Research Center, Seattle, Washington.
Mark A JenkinsMelbourne School of Population Health, The University of Melbourne, Australia.
Peter KraftHarvard School of Public Health, Boston, Massachusetts.
Jing MaDepartment of Medical Oncology, Dana Farber Cancer Institute, Boston, Massachusetts. Channing Division of Network Medicine, Boston, Massachusetts.
Hongmei NanDepartment of Epidemiology, Richard M. Fairbanks School of Public Health, Simon Cancer Center, Indiana University, Indianapolis, Indiana.
Polly A NewcombFred Hutchinson Cancer Research Center, Seattle, Washington.
Shuji OginoChanning Division of Network Medicine, Boston, Massachusetts. Harvard School of Public Health, Boston, Massachusetts. Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
John D PotterFred Hutchinson Cancer Research Center, Seattle, Washington. University of Washington School of Public Health, Seattle, Washington. Centre for Public Health Research, Massey University, Wellington, New Zealand.
Daniela SeminaraNational Cancer Institute, National Institutes of Health, Bethesda, Maryland.
Martha L SlatteryUniversity of Utah Health Sciences, Salt Lake City, Utah.
Mark ThornquistFred Hutchinson Cancer Research Center, Seattle, Washington.
Emily WhiteFred Hutchinson Cancer Research Center, Seattle, Washington.
Kana WuChanning Division of Network Medicine, Boston, Massachusetts. Harvard School of Public Health, Boston, Massachusetts.
Ulrike PetersFred Hutchinson Cancer Research Center, Seattle, Washington. University of Washington School of Public Health, Seattle, Washington. achan@mgh.harvard.edu upeters@fhcrc.org.
Andrew T ChanMassachusetts General Hospital and Harvard Medical School, Boston, Massachusetts. achan@mgh.harvard.edu upeters@fhcrc.org.
Fred Hutch Cancer Center · USDeutschen Konsortium für Translationale Krebsforschung · DENational Institutes of Health · USGerman Cancer Research Center · DE

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI TWOROGER, SHELLEY S · 2000 to 2019
$77.8M
Validity of Diet and Activity Measures in WomenP01CA055075 · NCI · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI WILLETT, WALTER C. · 1991 to 2009
$41.8M
Tissue and Pathology ResourcesP50CA127003 · NCI · DANA-FARBER CANCER INST · PI EL-BARDEESY, NABEEL, SELLERS, WILLIAM R · 2007 to 2023
$33.2M
JH/CIDR Genotyping for Genome-Wide Association StudiesU01HG004438 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2007 to 2011
$24.2M
Molecular pathological epidemiology of colorectal cancerU01CA137088 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETERS, ULRIKE · 2009 to 2018
$21.8M
SEATTLE FAMILIAL COLORECTAL CANCER REGISTRYU01CA074794 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI NEWCOMB, POLLY A · 1997 to 2007
$14.1M
ONTARIO REGISTRY FOR STUDIES OF FAMILIAL COLON CANCERU01CA074783 · NCI · CANCER CARE ONTARIO · PI GALLINGER, STEVEN · 1997 to 2008
$12.5M
Detection of Colorectal Cancer Susceptibility Loci Using Genome-Wide SequencingU01CA164930 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETERS, ULRIKE · 2012 to 2015
$12.4M
Cancer Epidemiology Cohort in Male Health ProfessionalsUM1CA167552 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI WILLETT, WALTER C. · 2012 to 2016
$11.5M
Genome-Wide Association Study of Nonsynonymous SNPs in Colon CancerR01CA059045 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETERS, ULRIKE · 1994 to 2011
$11.5M
Colon Cancer Family Registry CohortUM1CA167551 · NCI · STANFORD UNIVERSITY · PI HAILE, ROBERT WILLIAM, JENKINS, MARK A · 2013 to 2017
$11.3M
FAMILIAL COLORECTAL NEOPLASIA COLLABORATIVE GROUPU01CA074800 · NCI · MAYO CLINIC ROCHESTER · PI LINDOR, NORALANE MOREY · 1997 to 2007
$9.1M
Intramural NIH HHS Z01 CP010200NCI NIH HHS K05 CA154337NCI NIH HHS K05CA154337NCI NIH HHS P01 CA 055075NCI NIH HHS P01 CA055075NCI NIH HHS P01 CA 087969NCI NIH HHS P01 CA087969NCI NIH HHS P50 CA 127003NCI NIH HHS P50 CA127003NCI NIH HHS R01 CA042182NCI NIH HHS R01CA042182NCI NIH HHS R01 CA048998NCI NIH HHS R01 CA059045NCI NIH HHS R01 CA076366NCI NIH HHS R01CA076366NCI NIH HHS R01 CA137178NCI NIH HHS R01 CA143237NCI NIH HHS R01 CA151993NCI NIH HHS R01CA151993NCI NIH HHS R01 CA48998NCI NIH HHS R25 CA094880NCI NIH HHS U01 CA074783NCI NIH HHS U01 CA074794NCI NIH HHS U01 CA074800NCI NIH HHS U01 CA097735NCI NIH HHS U01 CA122839NCI NIH HHS U01 CA137088NCI NIH HHS U01 CA164930NCI NIH HHS U01/U24CA074783NCI NIH HHS U01/U24 CA074794NCI NIH HHS U01/U24 CA097735NCI NIH HHS U24 CA074783NCI NIH HHS U24 CA074794NCI NIH HHS U24 CA074800NCI NIH HHS U24 CA097735NCI NIH HHS UM1 CA167551NCI NIH HHS UM1 CA167552NHGRI NIH HHS GEI U01 HG 004438NHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01 HG004446NIDDK NIH HHS K23 DK097142NIDDK NIH HHS K24 DK098311
6 · The paper itself

Abstract

backgroundRed 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.

methodsWe 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.

resultsFrom 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).

conclusionWe 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.

Indexed as

Arylamine N-AcetyltransferaseCase-Control StudiesColorectal NeoplasmsFemaleGenotypeHumansMaleMeatMiddle AgedQuality ControlRisk FactorsArylamine N-AcetyltransferaseNAT2 protein, human

Identifiers

PMID25342387
PMCPMC4294960
OpenAlexW2042132903

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.