Evidence map›Paper›PMID 28350789›Full record

ArticleBritish journal of cancer2017

Dependence of cancer risk from environmental exposures on underlying genetic susceptibility: an illustration with polycyclic aromatic hydrocarbons and breast cancer.

Jing Shen, Yuyan Liao, John L Hopper, Mandy Goldberg, Regina M Santella, Mary Beth Terry

Open access · hybridAbstract read
In one paragraph

Article in British journal of cancer, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 5 pooled it
4.4field-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

50 citing papers in PubMed, 5 syntheses or guidelines pooled it, 71 citations in OpenAlex.

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  17. Plasma metabolomics profiles and breast cancer risk.Breast cancer research : BCR · 2024
    Article
  18. Review
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  20. Breast Cancer Exposomics.Life (Basel, Switzerland) · 2024
    Review
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

6 authors at 3 institutions in 2 countries.

Jing ShenDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY 10032, USA.
Yuyan LiaoDepartment of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY 10032, USA.
John L HopperCentre for Epidemiology and Biostatistics, School of Population and Global Health, The University of Melbourne, VIC 3010, Australia.
Mandy GoldbergDepartment of Epidemiology, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY 10032, USA.
Regina M SantellaDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY 10032, USA.
Mary Beth TerryDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY 10032, USA.
Columbia University · USColumbia University Irving Medical Center · USUniversity of Melbourne · AU

Funding

True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
Breast Cancer Family Registry CohortUM1CA164920 · NCI · CANCER PREVENTION INSTIT OF CALIFORNIA · PI ANDRULIS, IRENE, BUYS, SAUNDRA S · 2012 to 2017
$12.7M
Genes, environment and breast cancer risk: The 15 year follow-up of the Prof-SC (Diversity Supplement)R01CA159868 · NCI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI HOPPER, JOHN L, TERRY, MARY BETH · 2011 to 2015
$9.0M
Pregnancy and Prenatal PAHs and other Environmental Exposures and Breast CancerU01ES026122 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MILLER, RACHEL L, TERRY, MARY BETH · 2015 to 2019
$4.5M
NCI NIH HHS R01 CA159868NCI NIH HHS UM1 CA164920NIEHS NIH HHS P30 ES009089NIEHS NIH HHS U01 ES026122
6 · The paper itself

Abstract

backgroundMost studies of environmental risk factors and breast cancer are conducted using average risk cohorts.

methodsWe examined the association between polycyclic aromatic hydrocarbon (PAH)-albumin adducts in bloods from baseline and breast cancer risk in a prospective nested case-control study (New York site of the BCFR, 80 cases and 156 controls). We estimated the 10-year absolute breast cancer risk by a risk model that uses pedigree information (BOADICEA) and evaluated whether the increased risk from PAH differed by absolute risk.

resultsWomen with detectable levels of PAH had a twofold association with breast cancer risk (odds ratio (OR)=2.04; 95% CI=1.06-3.93) relative to women with non-detectable levels. The association increased with higher levels of PAH (⩾median) and by a higher level of absolute breast cancer risk (10-year risk ⩾3.4%: OR=4.09, 95% CI=1.38-12.13).

conclusionsThese results support that family-based cohorts can be an efficient way to examine gene-environment interactions.

Indexed as

Environmental ExposureAdultBreast NeoplasmsCase-Control StudiesDNA AdductsFemaleGene-Environment InteractionGenetic Predisposition to DiseaseGenotypeHumansMiddle AgedNew YorkPolycyclic Aromatic HydrocarbonsRisk FactorsSerum AlbuminSmokingDNA AdductsPolycyclic Aromatic Hydrocarbonspolycyclic aromatic hydrocarbons-DNA adductSerum Albumin

Identifiers

PMID28350789
PMCPMC5418454
OpenAlexW2602473427

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.