Evidence map›Paper›PMID 28956832›Full record

ArticleInternational journal of environmental research and public health2017

Multiple Gene-Environment Interactions on the Angiogenesis Gene-Pathway Impact Rectal Cancer Risk and Survival.

Noha Sharafeldin, Martha L Slattery, Qi Liu, Conrado Franco-Villalobos, Bette J Caan, John D Potter, Yutaka Yasui

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

7 authors at 5 institutions in 3 countries.

Noha SharafeldinSchool of Public Health, University of Alberta, Edmonton, AB T6G 2R3, Canada. Sharafeldin.n@ualberta.ca.
Martha L SlatteryDepartment of Internal Medicine, University of Utah Health Sciences Center, Salt Lake City, UT 84132, USA. marty.slattery@hsc.utah.edu.
Qi LiuSchool of Public Health, University of Alberta, Edmonton, AB T6G 2R3, Canada. ql3@ualberta.ca.
Conrado Franco-VillalobosSchool of Public Health, University of Alberta, Edmonton, AB T6G 2R3, Canada. conradofranco@ualberta.ca.
Bette J CaanDivision of Research, Kaiser Permanente Medical Care Program, Oakland, CA 94612, USA. bette.caan@kp.org.
John D PotterPublic Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. jpotter@fredhutch.org.ORCID 0000-0001-5439-1500
Yutaka YasuiSchool of Public Health, University of Alberta, Edmonton, AB T6G 2R3, Canada. yyasui@ualberta.ca.
University of Alberta · CAKaiser Permanente · USSt. Jude Children's Research Hospital · USUniversity of Utah · USUniversity of Washington · US

Funding

DIET, ACTIVITY &REPRODUCTION--RISKS FOR RECTAL CANCERR01CA048998 · NCI · UNIVERSITY OF UTAH · PI SLATTERY, MARTHA L · 1991 to 2012
$7.9M
DIET, ACTIVITY &REPRODUCTION--RISKS FOR RECTAL CANCERU01CA048998 · NCI · UNIVERSITY OF UTAH · PI SLATTERY, MARTHA OR MARTY L · 1997 to 1999
–
CIHRNCI NIH HHS R01 CA048998NCI NIH HHS U01 CA048998
6 · The paper itself

Abstract

Characterization of gene-environment interactions (GEIs) in cancer is limited. We aimed at identifying GEIs in rectal cancer focusing on a relevant biologic process involving the angiogenesis pathway and relevant environmental exposures: cigarette smoking, alcohol consumption, and animal protein intake. We analyzed data from 747 rectal cancer cases and 956 controls from the Diet, Activity and Lifestyle as a Risk Factor for Rectal Cancer study. We applied a 3-step analysis approach: first, we searched for interactions among single nucleotide polymorphisms on the pathway genes; second, we searched for interactions among the genes, both steps using Logic regression; third, we examined the GEIs significant at the 5% level using logistic regression for cancer risk and Cox proportional hazards models for survival. Permutation-based test was used for multiple testing adjustment. We identified 8 significant GEIs associated with risk among 6 genes adjusting for multiple testing:

Indexed as

Gene-Environment InteractionAgedAlcohol DrinkingDietFemaleGene Expression RegulationHumansLife StyleLogistic ModelsMaleMiddle AgedNeovascularization, PathologicPolymorphism, Single NucleotideProportional Hazards ModelsRectal NeoplasmsRisk Factorsangiogenesiscancer riskcancer survivalcandidate gene-pathwaygene-environment interactionsrectal cancer

Identifiers

PMID28956832
PMCPMC5664647
OpenAlexW2760151937

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.