Multidimensional Molecular Profiling of Metastatic Triple-Negative Breast Cancer and Immune Checkpoint Inhibitor

Romualdo Barroso-Sousa1, Juliet Forman2,3,4, Katharine Collier5

  • 1Oncology Center, Hospital Sírio-Libanês, Brasília, Brazil.

Abstract

Insights

Biomarkers like high tumor mutational burden and specific immune cells can predict response to immune checkpoint inhibitors (ICIs) in metastatic triple-negative breast cancer (mTNBC). Deficiencies in DNA repair and limited clonal evolution may indicate worse outcomes.

Area of Science:

  • Oncology
  • Immunology
  • Genomics

Background:

  • Metastatic triple-negative breast cancer (mTNBC) lacks reliable biomarkers for immune checkpoint inhibitor (ICI) therapy effectiveness.
  • Understanding the immune, genomic, and transcriptomic profiles of mTNBC is crucial for identifying predictive biomarkers.

Purpose of the Study:

  • To evaluate potential biomarkers associated with ICI therapy benefit in patients with mTNBC.
  • To correlate immune cell populations, genomic features, and gene expression with progression-free survival and overall survival.

Main Methods:

  • Analyzed tumor tissue and blood from 29 mTNBC patients treated with ICIs (pembrolizumab or atezolizumab) +/- chemotherapy/targeted therapy.
  • Performed whole-exome sequencing, RNA sequencing, CIBERSORTx immune population inference, and multiplexed immunofluorescence.
  • Assessed programmed death-ligand 1 (PD-L1) expression and evaluated clonal trajectories using serial DNA sequencing.

Main Results:

  • Higher programmed death-ligand 1 (PD-L1) expression and tumor mutational burden (TMB) correlated with longer progression-free survival and overall survival (OS).
  • Increased CD8+ T cells, activated CD4+ memory T cells, M1 macrophages, and follicular helper T cells, along with inflammatory gene pathways, were associated with longer survival.
  • Defective homologous recombination DNA damage repair signatures were linked to shorter OS and primary resistance; clonal stability post-treatment correlated with short time to progression.

Conclusions:

  • High TMB, specific immune cell infiltrates (CD8+, CD4 memory, M1 macrophages, Tfh), and inflammatory gene pathways are potential biomarkers for ICI response in mTNBC.
  • Pretreatment homologous recombination DNA repair deficiencies and minimal post-treatment clonal evolution may predict poorer outcomes.

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