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Comparative Lesions Analysis Through a Targeted Sequencing Approach
Published on: November 5, 2019
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.
Background:
Breast cancer is a leading cause of cancer-related deaths in women, particularly those with the triple-negative (TN) phenotype. Although novel therapeutic options are emerging, most are biomarker-driven. This study used comprehensive genomic profiling (CGP) via targeted sequencing to identify actionable alterations in a TN subcohort of the VGH-TAYLOR study.
Methods:
The study included patients with either early-stage (defined by first-line surgery or neoadjuvant therapy) or late-stage (defined by relapse or de novo metastatic disease) breast cancer. CGP was performed using the Illumina TruSight Oncology 500 assay. The level of actionability was assessed using the European Society for Medical Oncology (ESMO) Scale of Clinical Actionability of Molecular Targets (ESCAT) criteria, with additional annotations provided by the PierianDx software and OncoKB database.
Results:
CGP was successfully performed on 104 TN breast cancer samples. The most common actionable genes (occurring in >10% of cases) were PIK3CA (38%), BRCA2 (25%), PTEN (13%), BRCA1 (13%), ERBB2 (12%), and ERBB3 (11%). After applying a stringent per-variant filter, these frequencies were reduced to 22%, 6%, 5%, 4%, 4%, and 1% for PIK3CA , PTEN , BRCA2 , BRCA1 , AKT1 , and PALB2 , respectively. Based on the standard cut-off of 10 mutations/megabase, 24 samples were classified as tumor mutation burden (TMB)-high, whereas 80 were TMB-low. The proportion of TMB-high cases was lower among the early-stage patients compared to the late-stage patients (19% vs 36%; p < 0.05).
Conclusion:
This study demonstrates the clinical feasibility and utility of large-scale CGP, enabling the investigation of a broad range of genes and multi-gene signatures, such as TMB and microsatellite instability (MSI). The identification of actionable biomarkers offers the potential to expand therapeutic opportunities for TN breast cancer patients.
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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