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Dataset Information

Multi-omics profiling uncovers immune-molecular clusters with distinct chemo-immunotherapeutic vulnerabilities in a mouse model of triple-negative breast cancer.


ABSTRACT:

Background

Triple-negative breast cancer (TNBC) is a highly aggressive and heterogeneous breast cancer subtype with limited treatment options. Predicting patient response to chemo-immunotherapy remains challenging, highlighting the need for robust stratification strategies.

Methods

We performed a multi-parametric analysis combining histological, genomic, transcriptomic, proteomic, and immune profiling in the immunocompetent MMTV-R26Met TNBC mouse model and compared outcomes with patient data from human TNBC cohorts and TNBC tumor microarray. To enable therapeutic testing and functional validation, we established syngeneic grafts from primary tumors and used them to evaluate combined chemotherapy (epirubicin) and anti-PD-1 immunotherapy.

Results

Multi-parame

SUBMITTER: Castellanet O 

PROVIDER: S-EPMC12918088 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature