Prognostic and molecular multi-platform analysis of CALGB 40603 (Alliance) and public triple-negative breast cancer datasets

Triple-negative breast cancer (TNBC) is an aggressive and heterogeneous disease that remains challenging to target with traditional therapies and to predict risk. We provide a comprehensive characterization of 238 stage II-III TNBC tumors with paired RNA and DNA sequencing data from the CALGB 40603 (Alliance) clinical trial, along with 448 stage II-III TNBC tumors with paired RNA and DNA data from three additional datasets. We identify DNA mutations associated with RNA-based subtypes, specific TP53 missense mutations compatible with potential neoantigen activity, and a consistently highly altered copy number landscape. We train exploratory multi-modal elastic net models of TNBC patient overall survival to determine the added impact of DNA-based features to RNA and clinical features. We find that mutations and copy number show little to no prognostic value, while RNA expression features, including signatures of T cell and B cell activity, along with stage, improve stratification of TNBC survival risk.

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Publication Details

Journal
npj Breast Cancer
Published
2025-03-08
DOI
https://doi.org/10.1038/s41523-025-00740-z
Citations
5
Primary Topic
Cancer Genomics and Diagnostics
Type
article
Field-Weighted Citation Impact
4.68

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article

Prognostic and molecular multi-platform analysis of CALGB 40603 (Alliance) and public triple-negative breast cancer datasets

Katherine A. Hoadley, George Somlo, Brooke Felsheim, Michele C. Hayward et al.
5 citations
npj Breast Cancer
Cancer Genomics and Diagnostics
4.68
article

Prognostic and molecular multi-platform analysis of CALGB 40603 (Alliance) and public triple-negative breast cancer datasets

Katherine A. Hoadley, George Somlo, Brooke Felsheim, Michele C. Hayward, William M. Sikov, Lisa A. Carey, Adam D. Pfefferle, Charles M. Perou, Aranzazu Fernández-Martínez, Naim U. Rashid, Sara M. Tolaney, Cheng Fan
article en
5 citations

Abstract

Triple-negative breast cancer (TNBC) is an aggressive and heterogeneous disease that remains challenging to target with traditional therapies and to predict risk. We provide a comprehensive characterization of 238 stage II-III TNBC tumors with paired RNA and DNA sequencing data from the CALGB 40603 (Alliance) clinical trial, along with 448 stage II-III TNBC tumors with paired RNA and DNA data from three additional datasets. We identify DNA mutations associated with RNA-based subtypes, specific TP53 missense mutations compatible with potential neoantigen activity, and a consistently highly altered copy number landscape. We train exploratory multi-modal elastic net models of TNBC patient overall survival to determine the added impact of DNA-based features to RNA and clinical features. We find that mutations and copy number show little to no prognostic value, while RNA expression features, including signatures of T cell and B cell activity, along with stage, improve stratification of TNBC survival risk.

npj Breast CancerVol. 11(1)
University of North Carolina at Chapel Hill (US), University of North Carolina Health Care (US), Brown University (US), City of Hope (US), Women & Infants Hospital of Rhode Island (US), Dana-Farber/Harvard Cancer Center (US)
Breast Cancer Research Foundation, Susan G. Komen, National Cancer Institute
Good health and well-being
Openalex Percentile: Top 5%
Cancer Genomics and Diagnostics
4.68
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