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Profiling the somatic mutational landscape of breast tumors from Hispanic/Latina women reveals conserved and unique characteristics.

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Somatic mutational profiling is increasingly being used to identify potential targets for breast cancer. However, limited tumor-sequencing data from Hispanic/Latinas (H/L) are available to guide treatment. To address this gap,… Click to show full abstract

Somatic mutational profiling is increasingly being used to identify potential targets for breast cancer. However, limited tumor-sequencing data from Hispanic/Latinas (H/L) are available to guide treatment. To address this gap, we performed whole exome sequencing (WES) and RNA-sequencing on 146 tumors and WES of matched germline DNA from 140 H/L women in California. Tumor intrinsic subtype, somatic mutations, copy number alterations, and expression profiles of the tumors were characterized and compared to data from tumors of non-Hispanic White (White) women in The Cancer Genome Atlas (TCGA). Eight genes were significantly mutated in the H/L tumors including PIK3CA, TP53, GATA3, MAP3K1, CDH1, CBFB, PTEN, and RUNX1; the prevalence of mutations in these genes was similar to that observed in White women in TCGA. Four previously reported COSMIC mutation signatures (1, 2, 3, 13) were found in the H/L dataset, along with signature 16 that has not been previously reported in other breast-cancer datasets. Recurrent amplifications were observed in breast-cancer drivers including MYC, FGFR1, CCND1, and ERBB2, as well as a recurrent amplification in 17q11.2 associated with high KIAA0100 gene expression that has been implicated in breast-cancer aggressiveness. In conclusion, this study identified a higher prevalence of COSMIC signature 16 and a recurrent copy number amplification affecting expression of KIAA0100 in breast tumors from H/L compared to White women. These results highlight the necessity of studying under-represented populations.

Keywords: somatic mutational; breast; breast tumors; white women; breast cancer; cancer

Journal Title: Cancer research
Year Published: 2023

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