Evidence map›Paper›PMID 28503721›Full record

ArticleBreast cancer research and treatment2017

Limited influence of germline genetic variation on all-cause mortality in women with early onset breast cancer: evidence from gene-based tests, single-marker regression, and whole-genome prediction.

Molly Scannell Bryan, Maria Argos, Irene L Andrulis, John L Hopper, Jenny Chang-Claude, Kathleen Malone, Esther M John, Marilie D Gammon, Mary Daly, Mary Beth Terry and 8 more

Abstract read
In one paragraph

Article in Breast cancer research and treatment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Germline Variation and Breast Cancer Incidence: A Gene-Based Association Study and Whole-Genome Prediction of Early-Onset Breast Cancer.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2018
    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

18 authors.

Molly Scannell BryanUniversity of Chicago, Chicago, IL, USA. scannemo@uic.edu.ORCID http://orcid.org/0000-0003-1030-3155
Maria ArgosUniversity of Illinois at Chicago, Chicago, IL, 60608-1264, USA.
Irene L AndrulisLunefeld-Tanenbaum Research Institute, Sinai Health System and Department of Molecular Genetics, University of Toronto, Toronto, ON, Canada.
John L HopperUniversity of Melbourne, Melbourne, Australia.
Jenny Chang-ClaudeDeutsches Krebsforschungszentrum in der Helmholtz-Gemeinshaft, Hamburg, Germany.
Kathleen MaloneFred Hutchinson Cancer Research Center, Seattle, WA, USA.
Esther M JohnCancer Prevention Institute of California, Fremont, CA, USA.
Marilie D GammonUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Mary DalyFox Chase Cancer Center, Philadelphia, PA, USA.
Mary Beth TerryColumbia University, New York, NY, USA.
Saundra S BuysUniversity of Utah, Salt Lake City, UT, USA.
Dezheng HuoUniversity of Chicago, Chicago, IL, USA.
Olofunmilayo OlopadeUniversity of Chicago, Chicago, IL, USA.
Jeanine M GenkingerColumbia University, New York, NY, USA.
Farzana JasmineUniversity of Chicago, Chicago, IL, USA.
Muhammad G KibriyaUniversity of Chicago, Chicago, IL, USA.
Lin ChenUniversity of Chicago, Chicago, IL, USA.
Habibul AhsanUniversity of Chicago, Chicago, IL, USA.

Funding

WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI Dietmar J Kappes · 1985 to 2026
$138.8M
Breast Cancer Family Registry CohortUM1CA164920 · NCI · CANCER PREVENTION INSTIT OF CALIFORNIA · PI ANDRULIS, IRENE, BUYS, SAUNDRA S · 2012 to 2017
$12.7M
Epidemiologic StudiesU19CA148065 · NCI · HARVARD SCHOOL OF PUBLIC HEALTH · PI AHSAN, HABIBUL, BRUGGE, JOAN SIEFERT · 2010 to 2014
$10.6M
UIC CANCER PREVENTION &CONTROL RESEARCH TRAINING GRANTR25CA057699 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI FITZGIBBON, MARIAN L. · 1992 to 2017
$8.2M
Statistical Methods for Genetic EpidemiologyR01CA094069 · NCI · STANFORD UNIVERSITY · PI WHITTEMORE, ALICE · 2002 to 2016
$7.7M
Genomewide association in early-onset breast cancerU01CA122171 · NCI · UNIVERSITY OF CHICAGO · PI AHSAN, HABIBUL · 2006 to 2010
$7.2M
BREAST CANCER AND THE ENVIRONMENT ON LONG ISLANDU01CA066572 · NCI · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI GAMMON, MARILIE D · 1995 to 2004
$1.7M
Genomewide Determinants Of Prognosis And Treatment Of Early-Onset Breast CancerRC1CA145506 · NCI · UNIVERSITY OF CHICAGO · PI AHSAN, HABIBUL · 2009 to 2010
$999k
NCI NIH HHS P30 CA006927NCI NIH HHS R01 CA094069NCI NIH HHS R25 CA057699NCI NIH HHS RC1 CA145506NCI NIH HHS U01 CA066572NCI NIH HHS U01 CA122171NCI NIH HHS U19 CA148065NCI NIH HHS UM1 CA164920
6 · The paper itself

Abstract

purposeWomen diagnosed with breast cancer have heterogeneous survival outcomes that cannot be fully explained by known prognostic factors, and germline variation is a plausible but unconfirmed risk factor.

methodsWe used three approaches to test the hypothesis that germline variation drives some differences in survival: mortality loci identification, tumor aggressiveness loci identification, and whole-genome prediction. The 2954 study participants were women diagnosed with breast cancer before age 50, with a median follow-up of 15 years who were genotyped on an exome array. We first searched for loci in gene regions that were associated with all-cause mortality. We next searched for loci in gene regions associated with five histopathological characteristics related to tumor aggressiveness. Last, we also predicted 10-year all-cause mortality on a subset of 1903 participants (3,245,343 variants after imputation) using whole-genome prediction methods.

resultsNo risk loci for mortality or tumor aggressiveness were identified. This null result persisted when restricting to women with estrogen receptor-positive tumors, when examining suggestive loci in an independent study, and when restricting to previously published risk loci. Additionally, the whole-genome prediction model also found no evidence to support an association.

conclusionDespite multiple complementary approaches, our study found no evidence that mortality in women with early onset breast cancer is influenced by germline variation.

Indexed as

Germ-Line MutationAdultAge of OnsetBiomarkers, TumorBreast NeoplasmsExome SequencingFemaleGenotyping TechniquesHumansMiddle AgedOligonucleotide Array Sequence AnalysisRegression AnalysisSurvival AnalysisBiomarkers, TumorEarly onset breast cancerGene-based testsSingle nucleotide variantsSKAT-OSurvivalWhole-genome prediction

Identifiers

PMID28503721
PMCPMC5510603

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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.