ArticleBreast cancer research : BCR2023
Molecular profiling of a real-world breast cancer cohort with genetically inferred ancestries reveals actionable tumor biology differences between European ancestry and African ancestry patient populations.
Article in Breast cancer research : BCR, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed.
- Impact of Distinct Molecular and Immunological Features of Breast Cancer on the Effectiveness of Therapies in Ghana.Breast cancer : basic and clinical research · 2026Review
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- HIV status alters immune cell infiltration and activation profile in women with breast cancer.Nature communications · 2025Article
- Genomic Analysis Reveals Racial and Age-Related Differences in the Somatic Landscape of Breast Cancer and the Association with Socioeconomic Factors.Cancer research · 2025Article
- Genomic Landscape of Breast Cancer: Study Across Diverse Ethnic Groups.Diseases (Basel, Switzerland) · 2025Article
- Differences in the distribution of HER2-positive breast tumors according to ethnicity and genetic variants inFrontiers in oncology · 2025Review
- Prevalence and Predictors of Triple-Negative Breast Cancer Among Sudanese Women: A Retrospective Analysis of Newly Diagnosed Cases.International journal of women's health · 2025Article
- West African Genetic Ancestry and Breast Cancer Outcomes Among Black Women.JAMA network open · 2024Observational
- Revisiting HER2 in Prostate Cancer from an Inclusive Perspective: From Biomarkers to Omics.Cancers · 2024Review
- A consensus-based classification workflow to determine genetically inferred ancestry from comprehensive genomic profiling of patients with solid tumors.Briefings in bioinformatics · 2024Article
- Association of genetic ancestry with molecular tumor profiles in colorectal cancer.Genome medicine · 2024Article
- Article
- Association ofmedRxiv : the preprint server for health sciences · 2023Article
- An apparent quandary: adoption of polygenics and gene panels for personalised breast cancer risk stratification.BJC reports · 2023Review
- Article
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19 authors.
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Abstract
backgroundEndocrine-resistant HR+/HER2- breast cancer (BC) and triple-negative BC (TNBC) are of interest for molecularly informed treatment due to their aggressive natures and limited treatment profiles. Patients of African Ancestry (AA) experience higher rates of TNBC and mortality than European Ancestry (EA) patients, despite lower overall BC incidence. Here, we compare the molecular landscapes of AA and EA patients with HR+/HER2- BC and TNBC in a real-world cohort to promote equity in precision oncology by illuminating the heterogeneity of potentially druggable genomic and transcriptomic pathways.
methodsDe-identified records from patients with TNBC or HR+/HER2- BC in the Tempus Database were randomly selected (N = 5000), with most having stage IV disease. Mutations, gene expression, and transcriptional signatures were evaluated from next-generation sequencing data. Genetic ancestry was estimated from DNA-seq. Differences in mutational prevalence, gene expression, and transcriptional signatures between AA and EA were compared. EA patients were used as the reference population for log fold-changes (logFC) in expression.
resultsAfter applying inclusion criteria, 3433 samples were evaluated (n = 623 AA and n = 2810 EA). Observed patterns of dysregulated pathways demonstrated significant heterogeneity among the two groups. Notably, PIK3CA mutations were significantly lower in AA HR+/HER2- tumors (AA = 34% vs. EA = 42%, P < 0.05) and the overall cohort (AA = 28% vs. EA = 37%, P = 2.08e-05). Conversely, KMT2C mutation was significantly more frequent in AA than EA TNBC (23% vs. 12%, P < 0.05) and HR+/HER2- (24% vs. 15%, P = 3e-03) tumors. Across all subtypes and stages, over 8000 genes were differentially expressed between the two ancestral groups including RPL10 (logFC = 2.26, P = 1.70e-162), HSPA1A (logFC = - 2.73, P = 2.43e-49), ATRX (logFC = - 1.93, P = 5.89e-83), and NUTM2F (logFC = 2.28, P = 3.22e-196). Ten differentially expressed gene sets were identified among stage IV HR+/HER2- tumors, of which four were considered relevant to BC treatment and were significantly enriched in EA: ERBB2_UP.V1_UP (P = 3.95e-06), LTE2_UP.V1_UP (P = 2.90e-05), HALLMARK_FATTY_ACID_METABOLISM (P = 0.0073), and HALLMARK_ANDROGEN_RESPONSE (P = 0.0074).
conclusionsWe observed significant differences in mutational spectra, gene expression, and relevant transcriptional signatures between patients with genetically determined African and European ancestries, particularly within the HR+/HER2- BC and TNBC subtypes. These findings could guide future development of treatment strategies by providing opportunities for biomarker-informed research and, ultimately, clinical decisions for precision oncology care in diverse populations.
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