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PMID: 28472234 Published · ppublish English Comparative Study Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

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

JAMA oncology ·Vol. 3 ·No. 12 ·2017-00-01 ·Pages 1654-1662

Huo D, Hu H, Rhie SK, Gamazon ER, Cherniack AD, Liu J, Yoshimatsu TF, Pitt JJ, Hoadley KA, Troester M, Ru Y, Lichtenberg T, Sturtz LA, Shelley CS, Benz CC, Mills GB, Laird PW, Shriver CD, Perou CM, Olopade OI

Abstract

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. To investigate racial differences in breast cancer molecular features and survival and to estimate the heritability of breast cancer subtypes. 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. Breast cancer–free interval, tumor molecular features, and genetic variants. 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). 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.

MeSH Terms
African Americans/genetics Aged Breast Neoplasms/ethnology,genetics,metabolism,mortality Breast Neoplasms, Male/ethnology,genetics,metabolism,mortality Class I Phosphatidylinositol 3-Kinases/genetics Databases, Factual Female Gene Expression Regulation, Neoplastic Humans Male Middle Aged Mutation Precision Medicine Receptor, ErbB-2/metabolism Survival Analysis Tumor Suppressor Protein p53/genetics United States/epidemiology Whites/genetics
Chemicals
TP53 protein, human Tumor Suppressor Protein p53 Class I Phosphatidylinositol 3-Kinases PIK3CA protein, human ERBB2 protein, human Receptor, ErbB-2
Authors & Affiliations
20 authors, click to expand affiliations / ORCID
Huo Dezheng
Department of Public Health Sciences, The University of Chicago, Chicago, Illinois | Center for Clinical Cancer Genetics, Department of Medicine, The University of Chicago, Chicago, Illinois
Hu Hai
Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, Pennsylvania
Rhie Suhn K
Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles | Norris Comprehensive Cancer Center, University of Southern California, Los Angeles
Gamazon Eric R
Division of Genetic Medicine, Department of Medicine, Vanderbilt University, Nashville, Tennessee
Cherniack Andrew D
The Eli and Edythe L. Broad Institute of MIT and Harvard, Cambridge, Massachusetts
Liu Jianfang
Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, Pennsylvania
Yoshimatsu Toshio F
Center for Clinical Cancer Genetics, Department of Medicine, The University of Chicago, Chicago, Illinois
Pitt Jason J
Committee of Genetics, Genomics, and Systems Biology, The University of Chicago, Chicago, Illinois
Hoadley Katherine A
Department of Genetics and Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill
Troester Melissa
Department of Epidemiology, The University of North Carolina at Chapel Hill
Ru Yuanbin
Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, Pennsylvania
Lichtenberg Tara
The Research Institute, Nationwide Children’s Hospital, Columbus, Ohio
Sturtz Lori A
Chan Soon-Shiong Institute of Molecular Medicine at Windber, Windber, Pennsylvania
Shelley Carl S
Department of Medicine, University of Wisconsin School of Medicine and Public Health, Madison
Benz Christopher C
Buck Institute for Research on Aging, Novato, California
Mills Gordon B
Department of Systems Biology, The University of Texas MD Anderson Cancer Center, Houston
Laird Peter W
Center for Epigenetics, Van Andel Research Institute, Grand Rapids, Michigan
Shriver Craig D
Clinical Breast Care Project, Murtha Cancer Center, Walter Reed National Military Medical Center/Uniformed Services University of the Health Sciences, Bethesda, Maryland
Perou Charles M
Department of Genetics and Lineberger Comprehensive Cancer Center, The University of North Carolina at Chapel Hill
Olopade Olufunmilayo I
Center for Clinical Cancer Genetics, Department of Medicine, The University of Chicago, Chicago, Illinois | Committee of Genetics, Genomics, and Systems Biology, The University of Chicago, Chicago, Illinois
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Article Info
Journal
JAMA oncology
Abbr.
JAMA Oncol
ISSN
2374-2445
Published
2017-00-01
Pages
1654-1662
Language
English
Region
United States
NLM ID
101652861
PMCID
PMC5671371
Subset
IM
Grants
NCI NIH HHS · U01 CA179715 · United States
NCI NIH HHS · U54 CA156733 · United States
NIEHS NIH HHS · P30 ES010126 · United States
NCI NIH HHS · P30 CA016672 · United States
NCI NIH HHS · U24 CA143882 · United States
NHGRI NIH HHS · U54 HG003067 · United States
NCI NIH HHS · U24 CA143835 · United States
NCI NIH HHS · P50 CA125183 · United States
NCI NIH HHS · U01 CA161032 · United States
NCI NIH HHS · U24 CA143866 · United States
NCI NIH HHS · U54 CA156735 · United States
NCI NIH HHS · U24 CA210950 · United States
NCI NIH HHS · U24 CA143845 · United States
NCI NIH HHS · U24 CA143799 · United States
NHGRI NIH HHS · U54 HG003273 · United States
NCI NIH HHS · P50 CA058223 · United States
NCI NIH HHS · U24 CA144025 · United States
NCI NIH HHS · U24 CA143840 · United States
NCI NIH HHS · U24 CA143843 · United States
NCI NIH HHS · U24 CA143858 · United States
NCI NIH HHS · U24 CA143848 · United States
NHGRI NIH HHS · U54 HG003079 · United States
NCI NIH HHS · U24 CA210949 · United States
NCI NIH HHS · U24 CA143883 · United States
NCI NIH HHS · U24 CA143867 · United States
NCI NIH HHS · U24 CA210990 · United States
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