Patient-Derived Xenografts of Triple-Negative Breast Cancer Enable Deconvolution and Prediction of Chemotherapy

Jonathan T Lei1,2, Lacey E Dobrolecki1, Chen Huang1,3

  • 1Lester and Sue Smith Breast Center and Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX 77030, USA.

Insights

Combination chemotherapy for triple-negative breast cancer (TNBC) often shows no benefit over single agents. Multi-omic analysis identified biomarkers and potential strategies to overcome chemoresistance, optimizing treatment for TNBC patients.

Area of Science:

  • Oncology
  • Genomics
  • Proteomics
  • Pharmacology

Background:

  • Triple-negative breast cancer (TNBC) treatment relies on combination chemotherapy.
  • Current approaches lack patient-specific drug response delineation, potentially leading to suboptimal regimens.
  • Identifying biomarkers for treatment response is crucial for personalized TNBC therapy.

Purpose of the Study:

  • To conduct multi-omic analyses on TNBC patient-derived xenografts (PDXs) treated with single-agent or combination chemotherapy.
  • To identify predictive biomarkers for response to carboplatin, docetaxel, and their combination.
  • To explore mechanisms of chemoresistance and potential therapeutic strategies in TNBC.

Main Methods:

  • Multi-omic (transcriptomic, proteomic) analyses of TNBC PDXs treated with carboplatin, docetaxel, or combination therapy.
  • Validation of identified biomarkers in independent patient cohorts.
  • Investigation of chemoresistance mechanisms, including mitochondrial dysfunction, and testing of combination therapies with HDAC inhibitors.

Main Results:

  • Combination chemotherapy demonstrated limited added benefit over the best single agent in most PDXs, with some showing antagonism.
  • High Cytokeratin-5 (KRT5) expression was identified as a potential general biomarker for treatment responsiveness.
  • Integration of proteomic and transcriptomic data improved prediction of pathologic complete response.
  • Chemoresistant PDXs exhibited signatures of dysregulated mitochondrial function.

Conclusions:

  • Combination chemotherapy regimens for TNBC may not always be superior to single agents, necessitating biomarker-guided selection.
  • Multi-omic analyses can identify agent-specific biomarkers and improve predictive modeling for TNBC treatment response.
  • Targeting mitochondrial dysfunction presents a potential strategy to overcome chemoresistance in TNBC.