Comprehensive genomic profiling of Taiwanese triple-negative breast cancer with a large targeted sequencing panel

Chi-Cheng Huang1,2, Yi-Chen Yeh3,4, Han-Fang Cheng1,4

  • 1Division of Breast Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan, ROC.

Abstract

Insights

Comprehensive genomic profiling (CGP) identified actionable biomarkers in triple-negative (TN) breast cancer, offering new therapeutic avenues. Higher tumor mutation burden (TMB) was observed in late-stage versus early-stage disease.

Area of Science:

  • Genomics
  • Oncology
  • Molecular Biology

Background:

  • Triple-negative (TN) breast cancer is a significant cause of cancer mortality in women.
  • Novel therapies are emerging but often rely on specific biomarkers.
  • Actionable genetic alterations are key targets for personalized treatment strategies.

Purpose of the Study:

  • To identify actionable genomic alterations in a TN breast cancer subcohort using comprehensive genomic profiling (CGP).
  • To assess the clinical feasibility and utility of large-scale CGP in identifying therapeutic targets.
  • To investigate the prevalence of specific gene mutations and tumor mutation burden (TMB) in early- and late-stage TN breast cancer.

Main Methods:

  • Comprehensive genomic profiling (CGP) was performed on 104 TN breast cancer samples using the Illumina TruSight Oncology 500 assay.
  • Actionability of identified molecular alterations was assessed using the European Society for Medical Oncology (ESMO) Scale of Clinical Actionability of Molecular Targets (ESCAT) criteria.
  • Tumor mutation burden (TMB) was determined, and differences between early- and late-stage patients were analyzed.

Main Results:

  • Actionable alterations were identified in key genes including PIK3CA (22%), PTEN (5%), BRCA2 (6%), and BRCA1 (4%) after stringent filtering.
  • Tumor mutation burden (TMB)-high status was found in 24 samples (29%).
  • A higher proportion of TMB-high cases was observed in late-stage TN breast cancer patients (36%) compared to early-stage patients (19%; p < 0.05).

Conclusions:

  • Large-scale CGP is clinically feasible and valuable for identifying a wide range of actionable biomarkers in TN breast cancer.
  • The study highlights the potential of CGP to uncover multi-gene signatures like TMB and microsatellite instability (MSI).
  • Identifying these actionable biomarkers can potentially broaden therapeutic options for patients with TN breast cancer.

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