Abstract
Chemotherapy resistance remains a primary cause of treatment failure in breast cancer, yet the global proteomic landscape driving this phenotype has not been completely understood. In this study, we employed a systematic multiomics approach, integrating quantitative proteomics of doxorubicin-resistant cells with transcriptomic and proteomic data from large-scale clinical cohorts (TCGA and FUSCC). Our analysis revealed a fundamental functional dichotomy in resistant cells, where a downregulation of metabolic processes contrasts with a robust upregulation of cytoskeletal and focal adhesion complexes. Through machine learning and interaction network analyses, we identified the focal adhesion scaffold paxillin (PXN) as a central hub driving resistance and a robust prognostic marker for poor recurrence-free survival in chemotherapy-treated patients. Mechanistically, PXN orchestrates a “cell adhesion-mediated drug resistance” program by an extracellular matrix-focal adhesion-cytoskeleton axis, driving extensive extracellular matrix remodeling and stiffening via the upregulation of cross-linking enzymes and protease inhibitors. This structural remodeling reprograms the tumor microenvironment, inducing an immunosuppressive state where PXN-high tumors exhibit increased CD8+ T cell infiltration, but these lymphocytes are functionally exhausted and fail to execute cytotoxic responses. In summary, our findings reveal a novel resistance axis where PXN connects the intracellular cytoskeleton and extracellular matrix remodeling. This reprograms the tumor microenvironment and immune cell cytotoxicity, highlighting PXN as a critical target for overcoming chemoresistance.
| Original language | English |
|---|---|
| Pages (from-to) | 3716-3729 |
| Number of pages | 14 |
| Journal | Journal of Proteome Research |
| Volume | 25 |
| Issue number | 7 |
| DOIs | |
| Publication status | Published - 3 Jul 2026 |
| Externally published | Yes |
Keywords
- breast cancer
- chemotherapy resistance
- paxillin
- proteomic landscape
- tumor microenvironment
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