一个真实世界的乳腺癌队列的分子谱与遗传推断的祖先揭示了欧洲血统和非洲血统患者群体之间可操作的肿瘤生物学差异。

Minoru Miyashita, Joshua S K Bell, Stephane Wenric, Ezgi Karaesmen, Brooke Rhead, Matthew Kase, Kristiyana Kaneva, Francisco M De La Vega, Yonglan Zheng, Toshio F Yoshimatsu, Galina Khramtsova, Fang Liu, Fangyuan Zhao, Frederick M Howard, Rita Nanda, Nike Beaubier, Kevin P White, Dezheng Huo, Olufunmilayo I Olopade
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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.</p><p><strong>Methods: </strong>De-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.</p><p><strong>Results: </strong>After applying inclusion criteria, 3433 samples were evaluated (n = 623 AA and n = 2810 EA). 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引用次数: 3

摘要

背景:内分泌抵抗性HR+/HER2-乳腺癌(BC)和三阴性BC (TNBC)由于其侵袭性和有限的治疗方案而引起分子知情治疗的兴趣。非洲血统(AA)患者的TNBC发病率和死亡率高于欧洲血统(EA)患者,尽管总体BC发病率较低。在这里,我们在现实世界队列中比较了AA和EA患者的HR+/HER2- BC和TNBC的分子景观,通过阐明潜在药物基因组和转录组通路的异质性来促进精确肿瘤学的公平性。方法:随机选择Tempus数据库中TNBC或HR+/HER2- BC患者的去识别记录(N = 5000),其中大多数为IV期疾病。根据下一代测序数据评估突变、基因表达和转录特征。遗传祖先由DNA-seq估计。比较AA和EA在突变发生率、基因表达和转录特征方面的差异。以EA患者为参考人群,观察其表达的log fold-changes (logFC)。结果:应用纳入标准后,共纳入3433份样本(AA = 623份,EA = 2810份)。观察到的失调通路模式在两组之间显示出显著的异质性。值得注意的是,PIK3CA突变在AA HR+/HER2-肿瘤中显著降低(AA = 34% vs. EA = 42%)。结论:我们观察到遗传确定的非洲和欧洲血统患者在突变谱、基因表达和相关转录特征方面存在显著差异,特别是在HR+/HER2- BC和TNBC亚型中。这些发现可以指导未来治疗策略的发展,为生物标志物研究提供机会,并最终为不同人群的精确肿瘤治疗提供临床决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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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.

Background: Endocrine-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.

Methods: De-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.

Results: After 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).

Conclusions: We 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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