Next-Generation Sequencing of Breast Cancer in the Neoadjuvant Setting

Alexandra Mesquita1,2,3, Anabela Ferro3,4, José Carlos Machado2,3,4

  • 1Medical Oncology Department, Local Health Unit Matosinhos, Matosinhos, Portugal.

Abstract

Insights

Genomic analysis of breast cancer tumors after neoadjuvant chemotherapy (NAT) reveals key gene alterations. Identifying these somatic mutations can guide targeted therapies and improve treatment response in non-pathological complete response (pCR) cases.

Area of Science:

  • Oncology
  • Genomics
  • Precision Medicine

Background:

  • Neoadjuvant chemotherapy (NAT) is standard for locally advanced breast cancer, but pathological complete response (pCR) rates vary.
  • Identifying non-pCR tumor characteristics is crucial for optimizing subsequent treatment strategies.
  • Genomic profiling offers potential for discovering actionable targets in non-responders.

Purpose of the Study:

  • To determine somatic gene alterations in breast cancer tumors that did not achieve pCR after NAT.
  • To explore the utility of comprehensive genomic profiling for identifying therapeutic targets.
  • To assess the potential of tumor mutation burden (TMB) as a biomarker.

Main Methods:

  • Next-generation sequencing (NGS) using the Oncomine™ Comprehensive Assay Plus (OCA-Plus) panel.
  • Analysis of 31 breast cancer tissue samples collected pre-NAT.
  • Determination of gene alterations and tumor mutation burden (TMB).

Main Results:

  • ERBB2, BRCA1/2, MYC, TP53, PIK3CA, and MET alterations were frequent in pCR tumors.
  • Non-pCR tumors were predominantly triple-negative, with identified BRCA1/2, PIK3CA, and TP53 alterations.
  • NGS successfully determined gene alterations and TMB in the analyzed samples.

Conclusions:

  • Comprehensive genomic testing is significant for breast cancer, especially with limited targeted assays.
  • Somatic mutation detection combined with targeted therapies may improve NAT response or aid post-surgical treatment.
  • TMB evaluation in non-pCR samples could identify candidates for immunotherapy, warranting further clinical trials.

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