2017
DOI: 10.1001/jamaoncol.2017.0595
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Comparison of Breast Cancer Molecular Features and Survival by African and European Ancestry in The Cancer Genome Atlas

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 … Show more

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Cited by 215 publications
(251 citation statements)
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“…These pan-cancer findings are consistent with previous results from studies based on a single cancer type. For example, recent studies on breast cancer from the TCGA cohort (Ademuyiwa et al, 2017; Huo et al, 2017; Keenan et al, 2015) demonstrated that AAs had more TP53 mutations and fewer PIK3CA mutations. These observations not only further our understanding of the contributions of genetic ancestry to cancer disparities, but may also inform personalized treatment of cancer patients from racial/ethnic minority groups.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…These pan-cancer findings are consistent with previous results from studies based on a single cancer type. For example, recent studies on breast cancer from the TCGA cohort (Ademuyiwa et al, 2017; Huo et al, 2017; Keenan et al, 2015) demonstrated that AAs had more TP53 mutations and fewer PIK3CA mutations. These observations not only further our understanding of the contributions of genetic ancestry to cancer disparities, but may also inform personalized treatment of cancer patients from racial/ethnic minority groups.…”
Section: Discussionmentioning
confidence: 99%
“…This shared genetic background may confer similarities in cancer incidence and outcomes in populations. Recent large-scale genomic profile studies in individual cancer types, such as prostate (Huang et al, 2017; Petrovics et al, 2015; Powell et al, 2013; Wang et al, 2017), breast (Ademuyiwa et al, 2017; Huo et al, 2017; Keenan et al, 2015; Loo et al, 2011), colon (Guda et al, 2015), lung (Araujo et al, 2015; Campbell et al, 2017; Kytola et al, 2017), gastric (Schumacher et al, 2017), esophageal (Deng et al, 2017), and kidney (Krishnan et al, 2016) cancers have robustly demonstrated that genomic differences in cancers exist among distinct racial and ethnic populations. Consistently, it has been reported that the genetic background of patients may influence specific somatic alterations in cancer genomes during tumorigenesis (Carter et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…In a comprehensive analysis of genomic, transcriptomic, and proteomic data from the Cancer Genome Atlas, Huo et al 31 found that a number of molecular features differed between black and white IBCs after adjustments for age and subtypes, including the DNA copy number, gene expression, and DNA methylation. In a comprehensive analysis of genomic, transcriptomic, and proteomic data from the Cancer Genome Atlas, Huo et al 31 found that a number of molecular features differed between black and white IBCs after adjustments for age and subtypes, including the DNA copy number, gene expression, and DNA methylation.…”
Section: Discussionmentioning
confidence: 99%
“…In conclusion, most of the reported biological differences between black and white breast cancer 2 can be explained by disparities in access to care leading to black women presenting with later stage disease. This only further highlights the need to address racial disparities in poverty and access to care.…”
mentioning
confidence: 94%
“…To address the latter, Huo and colleagues recently investigated genetic differences between white and black breast cancers using data from The Cancer Genome Atlas (TCGA). 2 They reported a number of biological differences between black and white breast cancers. Interestingly, most tumor genomic differences between races were explained by subtype.…”
mentioning
confidence: 99%