Predictive biomarkers for triple negative breast cancer treated with platinum-based chemotherapy

Juan Jin1, Wenwen Zhang1, Wenfei Ji2

  • 1a Department of Medical Oncology , Jinling Hospital, Medical School of Nanjing University , Nanjing , China.

Insights

Platinum chemotherapy is vital for triple-negative breast cancer (TNBC), but resistance is common. Homologous recombination deficiency (HRD), indicated by BRCA mutations or high HRD scores, predicts response to platinum agents in TNBC.

Area of Science:

  • Oncology
  • Genetics
  • Pharmacology

Background:

  • Triple-negative breast cancer (TNBC) presents significant treatment challenges.
  • Platinum-based chemotherapy is a cornerstone for TNBC, yet response rates vary due to resistance.
  • Understanding platinum resistance mechanisms is crucial for improving patient outcomes.

Purpose of the Study:

  • To review preclinical and clinical studies on platinum efficacy in TNBC.
  • To summarize mechanisms underlying platinum response and resistance.
  • To identify potential predictive biomarkers for platinum sensitivity in TNBC.

Main Methods:

  • Literature review of preclinical and clinical investigations.
  • Analysis of studies focusing on homologous recombination deficiency (HRD) and BRCA function.
  • Evaluation of biomarkers such as BRCA mutations, methylation, BRCA-like classifier, and HRD scores.

Main Results:

  • Homologous recombination deficiency (HRD), often due to BRCA dysfunction, is a key predictor of platinum efficacy.
  • BRCA mutations, methylation, BRCA-like classifier, and HRD scores show promise as predictive biomarkers.
  • p53 family members, TNBC molecular subtypes, tumor-infiltrating lymphocytes, and thrombocytopenia are emerging predictive factors.

Conclusions:

  • An HR deficiency profile, including BRCA mutations and high HRD scores, can predict response to platinum and other DNA-damaging agents in TNBC.
  • Identifying these biomarkers can guide personalized treatment strategies for TNBC patients.
  • Further research into alternative biomarkers may enhance treatment selection and efficacy.