Evidence map›Paper›PMID 28472234›Full record

ArticleJAMA oncology2017

Comparison of Breast Cancer Molecular Features and Survival by African and European Ancestry in The Cancer Genome Atlas.

Dezheng Huo, Hai Hu, Suhn K Rhie, Eric R Gamazon, Andrew D Cherniack, Jianfang Liu, Toshio F Yoshimatsu, Jason J Pitt, Katherine A Hoadley, Melissa Troester and 10 more

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in JAMA oncology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 193 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
193citing papers in PubMed, 3 pooled it
9.3field-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

193 citing papers in PubMed, 3 syntheses or guidelines pooled it, 283 citations in OpenAlex.

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  14. CK8/18 and Claudin Profile of Female Breast Cancers from Botswana.Breast cancer : basic and clinical research · 2026
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133 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 14 institutions in 1 country.

Dezheng HuoDepartment of Public Health Sciences, The University of Chicago, Chicago, Illinois
Hai HuChan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, Pennsylvania
Suhn K RhieDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles
Eric R GamazonDivision of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, Tennessee
Andrew D CherniackThe Eli and Edythe L. Broad Institute of MIT and Harvard, Cambridge, Massachusetts
Jianfang LiuChan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, Pennsylvania
Toshio F YoshimatsuCenter for Clinical Cancer Genetics, Department of Medicine, The University of Chicago, Chicago, Illinois
Jason J PittCommittee of Genetics, Genomics, and Systems Biology, The University of Chicago, Chicago, Illinois
Katherine A HoadleyDepartment of Genetics and Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill
Melissa TroesterDepartment of Epidemiology, The University of North Carolina at Chapel Hill
Yuanbin RuChan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, Pennsylvania
Tara LichtenbergThe Research Institute, Nationwide Children’s Hospital, Columbus, Ohio
Lori A SturtzChan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, Pennsylvania
Carl S ShelleyDepartment of Medicine, University of Wisconsin School of Medicine and Public Health, Madison
Christopher C BenzBuck Institute for Research on Aging, Novato, California
Gordon B MillsDepartment of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston
Peter W LairdCenter for Epigenetics, Van Andel Research Institute, Grand Rapids, Michigan
Craig D ShriverClinical Breast Care Project, Murtha Cancer Center, Walter Reed National Military Medical Center/Uniformed Services University of the Health Sciences, Bethesda, Maryland
Charles M PerouDepartment of Genetics and Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill
Olufunmilayo I OlopadeCenter for Clinical Cancer Genetics, Department of Medicine, The University of Chicago, Chicago, Illinois
Windber Research Institute · USUniversity of North Carolina at Chapel Hill · USUniversity of Chicago · USBroad Institute · USBuck Institute for Research on Aging · USCancer Genetics (United States) · USChicago Department of Public Health · USNationwide Children's Hospital · USThe University of Texas MD Anderson Cancer Center · USUniformed Services University of the Health Sciences · USUniversity of Southern California · USUniversity of Wisconsin–Madison · USVan Andel Institute · USVanderbilt University · US

Funding

Large Scale Sequencing and Analysis of GenomesU54HG003067 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY, LANDER, ERIC S · 2004 to 2015
$568.6M
Large Scale Genome SequencingU54HG003079 · NHGRI · WASHINGTON UNIVERSITY · PI DUTCHER, SUSAN K · 2004 to 2016
$445.7M
The Human Genome Sequencing CenterU54HG003273 · NHGRI · BAYLOR COLLEGE OF MEDICINE · PI GIBBS, RICHARD A · 2004 to 2015
$341.3M
Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Tissue Procurement & PathologyP50CA058223 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KATHERINE A. HOADLEY · 1992 to 2026
$59.3M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
Gene Expression Patterns in Human Tumors Identified Using Transcript SequencingU24CA143848 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI HAYES, DAVID N, PEROU, CHARLES M · 2009 to 2016
$20.8M
Genome Characterization Center (GCC)U24CA143867 · NCI · BROAD INSTITUTE, INC. · PI GABRIEL, STACEY, MEYERSON, MATTHEW L. · 2009 to 2016
$17.0M
The Cancer Genome Atlas Data Analysis CenterU24CA143845 · NCI · BROAD INSTITUTE, INC. · PI CHIN, LYNDA, GETZ, GAD A · 2009 to 2016
$16.0M
Harvard Genome Characterization CenterU24CA144025 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI KUCHERLAPATI, RAJU S. · 2009 to 2016
$14.0M
The USC-JHU Cancer Epigenome Characterization CenterU24CA143882 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BAYLIN, STEPHEN B., WEISENBERGER, DANIEL JOSEPH · 2009 to 2016
$13.3M
Targeting the MEKK2-ERK5 Signaling Node in Triple Negative Breast CancerU54CA156735 · NCI · NORTH CAROLINA CENTRAL UNIVERSITY · PI RICHARDSON, MICHELER RICARDO · 2010 to 2021
$13.0M
NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA058223NCI NIH HHS P50 CA125183NCI NIH HHS U01 CA161032NCI NIH HHS U01 CA179715NCI NIH HHS U24 CA143799NCI NIH HHS U24 CA143835NCI NIH HHS U24 CA143840NCI NIH HHS U24 CA143843NCI NIH HHS U24 CA143845NCI NIH HHS U24 CA143848NCI NIH HHS U24 CA143858NCI NIH HHS U24 CA143866NCI NIH HHS U24 CA143867NCI NIH HHS U24 CA143882NCI NIH HHS U24 CA143883NCI NIH HHS U24 CA144025NCI NIH HHS U24 CA210949NCI NIH HHS U24 CA210950NCI NIH HHS U24 CA210969NCI NIH HHS U24 CA210990NCI NIH HHS U54 CA156733NCI NIH HHS U54 CA156735NHGRI NIH HHS U54 HG003067NHGRI NIH HHS U54 HG003079NHGRI NIH HHS U54 HG003273NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

Importance: African Americans have the highest breast cancer mortality rate. Although racial difference in the distribution of intrinsic subtypes of breast cancer is known, it is unclear if there are other inherent genomic differences that contribute to the survival disparities. Objectives: To investigate racial differences in breast cancer molecular features and survival and to estimate the heritability of breast cancer subtypes. Design, Setting, and Participants: Among a convenience cohort of patients with invasive breast cancer, breast tumor and matched normal tissue sample data (as of September 18, 2015) were obtained from The Cancer Genome Atlas. Main Outcomes and Measures: Breast cancer–free interval, tumor molecular features, and genetic variants. Results: Participants were 930 patients with breast cancer, including 154 black patients of African ancestry (mean [SD] age at diagnosis, 55.66 [13.01] years; 98.1% [n = 151] female) and 776 white patients of European ancestry (mean [SD] age at diagnosis, 59.51 [13.11] years; 99.0% [n = 768] female). Compared with white patients, black patients had a worse breast cancer-free interval (hazard ratio, HR=1.67; 95% CI, 1.02-2.74; P = .043). They had a higher likelihood of basal-like (odds ratio, 3.80; 95% CI, 2.46-5.87; P < .001) and human epidermal growth factor receptor 2 (ERBB2 [formerly HER2])–enriched (odds ratio, 2.22; 95% CI, 1.10-4.47; P = .027) breast cancer subtypes, with the Luminal A subtype as the reference. Blacks had more TP53 mutations and fewer PIK3CA mutations than whites. While most molecular differences were eliminated after adjusting for intrinsic subtype, the study found 16 DNA methylation probes, 4 DNA copy number segments, 1 protein, and 142 genes that were differentially expressed, with the gene-based signature having an excellent capacity for distinguishing breast tumors from black vs white patients (cross-validation C index, 0.878). Using germline genotypes, the heritability of breast cancer subtypes (basal vs nonbasal) was estimated to be 0.436 (P = 1.5 × 10−14). The estrogen receptor–positive polygenic risk score built from 89 known susceptibility variants was higher in blacks than in whites (difference, 0.24; P = 2.3 × 10−5), while the estrogen receptor–negative polygenic risk score was much higher in blacks than in whites (difference, 0.48; P = 2.8 × 10−11). Conclusions and Relevance: On the molecular level, after adjusting for intrinsic subtype frequency differences, this study found a modest number of genomic differences but a significant clinical survival outcome difference between blacks and whites in The Cancer Genome Atlas data set. Moreover, more than 40% of breast cancer subtype frequency differences could be explained by genetic variants. These data could form the basis for the development of molecular targeted therapies to improve clinical outcomes for the specific subtypes of breast cancers that disproportionately affect black women. Findings also indicate that personalized risk assessment and optimal treatment could reduce deaths from aggressive breast cancers for black women.

Indexed as

AgedBlack or African AmericanBreast NeoplasmsBreast Neoplasms, MaleClass I Phosphatidylinositol 3-KinasesDatabases, FactualErb-b2 Receptor Tyrosine KinasesFemaleGene Expression Regulation, NeoplasticHumansMaleMiddle AgedMutationPrecision MedicineSurvival AnalysisTumor Suppressor Protein p53Class I Phosphatidylinositol 3-KinasesERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesPIK3CA protein, humanTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID28472234
PMCPMC5671371
OpenAlexW2611684441

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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.