Evidence map›Paper›PMID 31666286›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2020

Night-Shift Work Duration and Risk of Colorectal Cancer According to

Yan Shi, Li Liu, Tsuyoshi Hamada, Jonathan A Nowak, Marios Giannakis, Yanan Ma, Mingyang Song, Daniel Nevo, Keisuke Kosumi, Mancang Gu and 14 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, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
0.7field-weighted citation impact, top 34% 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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  9. Archaic Introgression Shaped Human Circadian Traits.Genome biology and evolution · 2023
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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

24 authors at 9 institutions in 4 countries.

Yan Shi *Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Li Liu *Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Tsuyoshi HamadaDepartment of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Jonathan A NowakProgram in MPE Molecular Pathological Epidemiology, Department of Pathology, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Marios GiannakisBroad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, Massachusetts.
Yanan MaChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Mingyang SongClinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts.
Daniel NevoDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Keisuke KosumiDepartment of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Mancang GuDepartment of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Sun A KimLaboratory of Human Carcinogenesis, NCI, NIH, Bethesda, Maryland.
Teppei MorikawaDepartment of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Kana WuDepartment of Nutrition, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Jing SuiChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Kyriaki PapantoniouDepartment of Epidemiology, Center for Public Health, Medical University of Vienna, Vienna, Austria.
Molin WangDepartment of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts.
Andrew T ChanBroad Institute of Massachusetts Institute of Technology (MIT) and Harvard, Cambridge, Massachusetts.
Charles S FuchsChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Jeffrey A MeyerhardtDepartment of Medical Oncology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Edward GiovannucciChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts.
Shuji OginoDepartment of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts.
Eva S Schernhammer *Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts. xuehong.zhang@channing.harvard.edu reiko.nishihara@mail.harvard.edu eva.schernhammer@channing.harvard.edu.ORCID 0000-0002-4337-9415
Reiko Nishihara *Department of Oncologic Pathology, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts. xuehong.zhang@channing.harvard.edu reiko.nishihara@mail.harvard.edu eva.schernhammer@channing.harvard.edu.
Xuehong Zhang *Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts. xuehong.zhang@channing.harvard.edu reiko.nishihara@mail.harvard.edu eva.schernhammer@channing.harvard.edu.
Brigham and Women's Hospital · USDana-Farber Cancer Institute · USBroad Institute · USHarvard University · USChinese PLA General Hospital · CNGenesis Foundation · USMassachusetts General Hospital · USMedical University of Vienna · ATThe University of Tokyo · JP

Funding

Statistical MethodsP01CA087969 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, TAMIMI, RULLA M · 2000 to 2019
$77.8M
Tissue and Pathology ResourcesP50CA127003 · NCI · DANA-FARBER CANCER INST · PI SHIVDASANI, RAMESH A · 2007 to 2023
$33.2M
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
Precision Prevention Research ProgramR35CA253185 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI Andrew T Chan · 2020 to 2026
$6.9M
Inflammation and Colorectal NeoplasiaR01CA137178 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI CHAN, ANDREW T · 2009 to 2019
$6.5M
Accelerating Transdisciplinary Epidemiology of Colorectal CancerR35CA197735 · NCI · DANA-FARBER CANCER INST · PI OGINO, SHUJI · 2015 to 2021
$6.0M
Minimizing Cancer Risk in Shift WorkersR01OH009803 · OH · BRIGHAM AND WOMEN'S HOSPITAL · PI SCHERNHAMMER, EVA S · 2010 to 2018
$4.5M
Impact of Celecoxib and Inflammation on Survival in Stage III Colon CancerR01CA169141 · NCI · YALE UNIVERSITY · PI FUCHS, CHARLES S · 2013 to 2018
$3.9M
Epigenetic Events and Colorectal Cancer EpidemiologyR01CA151993 · NCI · DANA-FARBER CANCER INST · PI OGINO, SHUJI · 2010 to 2014
$2.6M
Mentored Patient-Oriented Research in Digestive DiseasesK24DK098311 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI CHAN, ANDREW T · 2013 to 2017
$930k
Lifestyle, genetics and colonoscopy for colorectal cancer preventionK07CA190673 · NCI · DANA-FARBER CANCER INST · PI NISHIHARA, REIKO · 2014 to 2018
$609k
Calcium and Colorectal Cancer: Gene-Environment Interactions and Molecular PathwaysK07CA188126 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ZHANG, XUEHONG · 2015 to 2018
$576k
NCI NIH HHS K07 CA188126NCI NIH HHS K07 CA190673NCI NIH HHS P01 CA087969NCI NIH HHS P50 CA127003NCI NIH HHS R01 CA137178NCI NIH HHS R01 CA151993NCI NIH HHS R01 CA169141NCI NIH HHS R03 CA176717NCI NIH HHS R35 CA197735NCI NIH HHS R35 CA253185NCI NIH HHS UM1 CA186107NIDDK NIH HHS K24 DK098311NIOSH CDC HHS R01 OH009803
6 · The paper itself

Abstract

backgroundWe hypothesized that the risk of colorectal cancer in night-shift workers might be different according to insulin receptor substrate status.

methodsAmong 77,470 eligible women having night work assessed in the Nurses' Health Study, we documented a total of 1,397 colorectal cancer cases, of which 304 or 308 had available data on

resultsCompared with women who never worked night shifts, those working ≥15 years night shifts had a marginal trend of increased overall risk of colorectal cancer (

conclusionsOur molecular pathologic epidemiology data suggest a potential role of IMPACT: Although these findings need validation, rotating night shift might increase colorectal cancer risk in women with abnormal insulin receptor pathways.

Indexed as

Biomarkers, TumorCarcinogenesisColonColorectal NeoplasmsFemaleHumansImmunohistochemistryInsulin Receptor Substrate ProteinsMiddle AgedMolecular EpidemiologyNursesRectumRisk AssessmentRisk FactorsShift Work ScheduleTime FactorsBiomarkers, TumorInsulin Receptor Substrate ProteinsIRS1 protein, humanIRS2 protein, human

Identifiers

PMID31666286
PMCPMC6954315
OpenAlexW3000284801

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.