TMB as a predictive biomarker for ICI response in TNBC: current evidence and future directions for augmented

Rajdeep Das1, Sneha Deb1, P K Suresh2

  • 1Department of Bio-Medical Sciences, School of Bio Sciences and Technology, Vellore Institute of Technology, Vellore, India.

PubMed

Insights

Triple-negative breast cancer (TNBC) is aggressive, but immune checkpoint inhibitors show promise. Tumor mutational burden (TMB) may predict response to these treatments, guiding personalized therapy for better outcomes.

Area of Science:

  • Oncology
  • Immunology
  • Genetics

Background:

  • Triple-negative breast cancer (TNBC) is aggressive and lacks standard targeted therapies.
  • Immune checkpoint inhibitors (ICIs), particularly anti-PD-1/PD-L1 agents, offer new therapeutic avenues for TNBC.
  • Tumor mutational burden (TMB) is emerging as a predictive biomarker for ICI response.

Purpose of the Study:

  • To review the evidence supporting TMB as a biomarker in TNBC.
  • To examine the relationship between TMB and ICI efficacy.
  • To discuss future directions for TMB-guided TNBC therapy.

Main Methods:

  • Literature review of current evidence on TMB in TNBC.
  • Analysis of mechanisms linking TMB to immune response and ICI efficacy.
  • Exploration of combination therapies and treatment personalization.

Main Results:

  • High TMB correlates with enhanced neoantigen presentation, leading to improved immune responses and patient outcomes with ICIs.
  • TMB can guide personalized treatment strategies, including combination therapies with chemotherapy or PARP inhibitors.
  • Standardization of TMB measurement and cutoffs is needed for clinical utility.

Conclusions:

  • TMB is a promising biomarker for predicting ICI response in TNBC.
  • Further research into TMB, tumor microenvironment, and resistance mechanisms is crucial for advancing precision oncology in TNBC.

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