ArticleCarcinogenesis2020
Differences in gene-expression profiles in breast cancer between African and European-ancestry women.
Article in Carcinogenesis, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.
What it found
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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.
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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.
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Who cites it
6 citing papers in PubMed.
- Worse Clinical and Survival Outcomes in Breast Cancer Patients Living in Puerto Rico Compared to Hispanics, Non-Hispanic Blacks, and Non-Hispanic Whites from Florida.Journal of racial and ethnic health disparities · 2026Article
- Immunogenomic diversity of triple-negative breast cancers in obese and non-obese black and white women.NPJ breast cancer · 2025Article
- Article
- Landmark Series: The Cancer Genome Atlas and the Study of Breast Cancer Disparities.Annals of surgical oncology · 2023Review
- Discordance between PAM50 intrinsic subtyping and immunohistochemistry in South African women with breast cancer.Breast cancer research and treatment · 2023Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors.
Funding
Abstract
African American (AA) women have an excess breast cancer mortality than European American (EA) women. To investigate the contribution of tumor biology to this survival health disparity, we compared gene expression profiles in breast tumors using RNA sequencing data derived from 260 AA and 155 EA women who were prospectively enrolled in the Southern Community Cohort Study (SCCS) and developed breast cancer during follow-up. We identified 59 genes (54 protein-coding genes and 5 long intergenic non-coding RNAs) that were expressed differently between EA and AA at a stringent false discovery rate (FDR) < 0.01. A gene signature was derived with these 59 genes and externally validated using the publicly available Cancer Genome Atlas (TCGA) data from180 AA and 838 EA breast cancer patients. Applying C-statistics, we found that this 59-gene signature has a high discriminative ability in distinguishing AA and EA breast cancer patients in the TCGA dataset (C-index = 0.81). These findings may provide new insight into tumor biological differences and the causes of the survival disparity between AA and EA breast cancer patients.
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