Evidence map›Paper›PMID 29458155›Full record

ArticleGastroenterology2018

Determining Risk of Colorectal Cancer and Starting Age of Screening Based on Lifestyle, Environmental, and Genetic Factors.

Jihyoun Jeon, Mengmeng Du, Robert E Schoen, Michael Hoffmeister, Polly A Newcomb, Sonja I Berndt, Bette Caan, Peter T Campbell, Andrew T Chan, Jenny Chang-Claude and 30 more

Open access · greenAbstract readComparative StudyEvaluation Study
In one paragraph

Article in Gastroenterology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 167 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
167citing papers in PubMed, 6 pooled it
19.3field-weighted citation impact, top 1% 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

167 citing papers in PubMed, 6 syntheses or guidelines pooled it, 334 citations in OpenAlex.

  1. Pooled it
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  4. Risk Prediction Models for Colorectal Cancer Incorporating Common Genetic Variants: A Systematic Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Pooled it
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  12. Polygenic risk scores in cancer.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2026
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107 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

40 authors at 20 institutions in 6 countries.

Jihyoun JeonDepartment of Epidemiology, University of Michigan, Ann Arbor, Michigan. Electronic address: jihjeon@umich.edu.
Mengmeng DuMemorial Sloan Kettering, New York, New York.
Robert E SchoenDepartment of Medicine and Epidemiology, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.
Michael HoffmeisterDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany; Division of Preventive Oncology, German Cancer Research Center and National Center for Tumor Diseases, Heidelberg, Germany; German Cancer Consortium, German Cancer Research Center, Heidelberg, Germany.
Polly A NewcombPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Sonja I BerndtDivision of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Bethesda, Maryland.
Bette CaanDivision of Research, Kaiser Permanente Medical Care Program, Oakland, California.
Peter T CampbellEpidemiology Research Program, American Cancer Society, Atlanta, Georgia.
Andrew T ChanClinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Channing Division of Network Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Jenny Chang-ClaudeDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany; Division of Preventive Oncology, German Cancer Research Center and National Center for Tumor Diseases, Heidelberg, Germany; German Cancer Consortium, German Cancer Research Center, Heidelberg, Germany.
Graham G GilesCancer Epidemiology and Intelligence Division, Cancer Council Victoria, and Centre for Epidemiology and Biostatistics, School of Global and Population Health, University of Melbourne, Melbourne, Australia.
Jian GongPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Tabitha A HarrisonPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Jeroen R HuyghePublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Eric J JacobsEpidemiology Research Program, American Cancer Society, Atlanta, Georgia.
Li LiCase Western Reserve University, Cleveland, Ohio.
Yi LinPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Loïc Le MarchandEpidemiology Program, University of Hawaii Cancer Center, Honolulu, Hawaii.
John D PotterPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Conghui QuPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Stephanie A BienPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Niha ZubairPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Robert J MacinnisCancer Epidemiology and Intelligence Division, Cancer Council Victoria, and Centre for Epidemiology and Biostatistics, School of Global and Population Health, University of Melbourne, Melbourne, Australia.
Daniel D BuchananColorectal Oncogenomics Group, Genetic Epidemiology Laboratory, Department of Pathology, The University of Melbourne, Parkville, Victoria, Australia; Centre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia; Genetic Medicine and Family Cancer Clinic, The Royal Melbourne Hospital, Parkville, Victoria, Australia.
John L HopperCentre for Epidemiology and Biostatistics, Melbourne School of Population and Global Health, The University of Melbourne, Parkville, Victoria, Australia; Department of Epidemiology, School of Public Health and Institute of Health and Environment, Seoul National University, Seoul, South Korea.
Yin CaoClinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Division of Gastroenterology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Reiko NishiharaClinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Gad RennertCarmel Medical Center, Haifa, Israel.
Martha L SlatteryDepartment of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, Utah.
Duncan C ThomasDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California.
Michael O WoodsMemorial University of Newfoundland, St John's, Newfoundland, Canada.
Ross L PrenticePublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Stephen B GruberUSC Norris Comprehensive Cancer Center, University of Southern California, Los Angeles, California.
Yingye ZhengPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Hermann BrennerDivision of Clinical Epidemiology and Aging Research, German Cancer Research Center, Heidelberg, Germany; Division of Preventive Oncology, German Cancer Research Center and National Center for Tumor Diseases, Heidelberg, Germany; German Cancer Consortium, German Cancer Research Center, Heidelberg, Germany.
Richard B HayesDivision of Epidemiology, Department of Population Health, New York University School of Medicine, New York, New York.
Emily WhitePublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.
Ulrike PetersPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington. Electronic address: upeters@fredhutch.org.
Li HsuPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington. Electronic address: lih@fredhutch.org.
Colorectal Transdisciplinary Study and Genetics and Epidemiology of Colorectal Cancer Consortium
Fred Hutch Cancer Center · USAmerican Cancer Society · USCancer Council Victoria · AUUniversity of Southern California · USBrigham and Women's Hospital · USCancer Center of Hawaii · USCarmel Medical Center · ILCase Western Reserve University · USGerman Cancer Research Center · DEHarvard University · USHeidelberg University · DEKaiser Permanente · USMassachusetts General Hospital · USMemorial Sloan Kettering Cancer Center · USMemorial University of Newfoundland · CANational Cancer Institute · USNational Center for Tumor Diseases · DENew York University · USSeoul National University Hospital · KRThe University of Melbourne · AU

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
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
PLCO Trial Etiologic and Early Marker StudyZIACP010152 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI MOORE, STEVEN · 2009 to 2025
$29.9M
Statistical Methods for Integrative Genomics in CancerP01CA196569 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI David V Conti · 2016 to 2026
$25.5M
JH/CIDR Genotyping for Genome-Wide Association StudiesU01HG004438 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2007 to 2011
$24.2M
GENETIC SUSCEPTIBILITY TO CANCER IN MULTIETHNIC COHORTSR01CA063464 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HENDERSON, BRIAN E · 2001 to 2005
$23.2M
Multiethnic Cohort Study of Diet and CancerR37CA054281 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI KOLONEL, LAURENCE N. · 2003 to 2012
$23.2M
Long Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3M
Molecular pathological epidemiology of colorectal cancerU01CA137088 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI PETERS, ULRIKE · 2009 to 2018
$21.8M
VALIDATION OF A DIET HISTORY METHOD FOR EPIDEMIOLOGIC STUDIES OF CANCERP01CA033619 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI KOLONEL, LAURENCE N. · 1985 to 2010
$18.5M
Intramural NIH HHS Z01 CP010200NCI NIH HHS K05 CA154337NCI NIH HHS K07 CA190673NCI NIH HHS P01 CA033619NCI NIH HHS P01 CA055075NCI NIH HHS P01 CA087969NCI NIH HHS P01 CA196569NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA127003NCI NIH HHS R01 CA048998NCI NIH HHS R01 CA054281NCI NIH HHS R01 CA059045NCI NIH HHS R01 CA060987NCI NIH HHS R01 CA063464NCI NIH HHS R01 CA081488NCI NIH HHS R01 CA136726NCI NIH HHS R01 CA137178NCI NIH HHS R01 CA151993NCI NIH HHS R01 CA195789NCI NIH HHS R01 CA206279NCI NIH HHS R35 CA197735NCI NIH HHS R37 CA054281NCI NIH HHS U01 CA074783NCI NIH HHS U01 CA137088NCI NIH HHS U01 CA164930NCI NIH HHS U01 CA167552NCI NIH HHS UM1 CA167552NCI NIH HHS UM1 CA186107NHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01 HG004446NHLBI NIH HHS HHSN268201100046CNIA NIH HHS HHSN271201100004CNIH HHS S10 OD020069WHI NIH HHS HHSN268201100001CWHI NIH HHS HHSN268201100002CWHI NIH HHS HHSN268201100003CWHI NIH HHS HHSN268201100004C
6 · The paper itself

Abstract

BACKGROUND &

aimsGuidelines for initiating colorectal cancer (CRC) screening are based on family history but do not consider lifestyle, environmental, or genetic risk factors. We developed models to determine risk of CRC, based on lifestyle and environmental factors and genetic variants, and to identify an optimal age to begin screening.

methodsWe collected data from 9748 CRC cases and 10,590 controls in the Genetics and Epidemiology of Colorectal Cancer Consortium and the Colorectal Transdisciplinary study, from 1992 through 2005. Half of the participants were used to develop the risk determination model and the other half were used to evaluate the discriminatory accuracy (validation set). Models of CRC risk were created based on family history, 19 lifestyle and environmental factors (E-score), and 63 CRC-associated single-nucleotide polymorphisms identified in genome-wide association studies (G-score). We evaluated the discriminatory accuracy of the models by calculating area under the receiver operating characteristic curve values, adjusting for study, age, and endoscopy history for the validation set. We used the models to project the 10-year absolute risk of CRC for a given risk profile and recommend ages to begin screening in comparison to CRC risk for an average individual at 50 years of age, using external population incidence rates for non-Hispanic whites from the Surveillance, Epidemiology, and End Results program registry.

resultsIn our models, E-score and G-score each determined risk of CRC with greater accuracy than family history. A model that combined both scores and family history estimated CRC risk with an area under the receiver operating characteristic curve value of 0.63 (95% confidence interval, 0.62-0.64) for men and 0.62 (95% confidence interval, 0.61-0.63) for women; area under the receiver operating characteristic curve values based on only family history ranged from 0.53 to 0.54 and those based only E-score or G-score ranged from 0.59 to 0.60. Although screening is recommended to begin at age 50 years for individuals with no family history of CRC, starting ages calculated based on combined E-score and G-score differed by 12 years for men and 14 for women, for individuals with the highest vs the lowest 10% of risk.

conclusionsWe used data from 2 large international consortia to develop CRC risk calculation models that included genetic and environmental factors along with family history. These determine risk of CRC and starting ages for screening with greater accuracy than the family history only model, which is based on the current screening guideline. These scoring systems might serve as a first step toward developing individualized CRC prevention strategies.

Indexed as

Models, BiologicalAgedAge FactorsColonoscopyColorectal NeoplasmsEarly Detection of CancerEnvironmentFemaleHumansLife StyleMaleMiddle AgedPolymorphism, Single NucleotidePractice Guidelines as TopicRisk AssessmentROC CurveColon CancerColonoscopyCORECTGECCO

Identifiers

PMID29458155
PMCPMC5985207
OpenAlexW2788766073

What OpenQuestion holds

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Registered trials

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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.