Video Experimental Relacionado
Updated: Feb 20, 2026
Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model
Published on: March 20, 2020
Actividad transcripcional del microambiente tumoral que permite una estratificación robusta de la respuesta a la
Yaoyi Dai1, Xiaoxi Pan2, Shuai Guo3
1Department of Bioinformatics and Computational Biology, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA; Graduate Program of Quantitative and Computational Biosciences, Baylor College of Medicine, Houston, TX 77030, USA.
Abstract:
Triple-negative breast cancer (TNBC) exhibits heterogeneous treatment responses, yet molecular subtypes based on predefined biological pathways show limited prognostic value. We introduce tumor-specific total mRNA expression (TmS), a pathway-agnostic deconvolution metric derived from matched RNA/DNA sequencing, as a robust stratification tool. Analyzing 575 TNBC patients across Western and East Asian populations, TmS outperforms established subtypes in predicting chemotherapy outcomes, stratifying patients into high TmS with favorable prognosis and low TmS with poor prognosis. Stromal enrichment with immune exclusion emerges as a universal feature of chemotherapy-resistant low-TmS tumors across all cohorts. Population-specific features distinguish Asian cohorts: high-TmS tumors exhibit cell cycle-driven proliferation programs, and low-TmS tumors display immune dysfunction with memory B cell enrichment and divergent RAS/mitogen-activated protein kinase (MAPK) activation, compared to Western populations. Despite these differences, extracellular matrix organization represents a conserved therapeutic vulnerability in treatment-resistant low-TmS patients. TmS provides a unifying framework for dissecting TNBC heterogeneity and enabling precision therapy across diverse populations.
