Genetic alterations and their therapeutic implications in epithelial ovarian cancer

Nina Lapke1,2, Chien-Hung Chen1, Ting-Chang Chang3,4

  • 1ACT Genomics, Co. Ltd., 3F., No.345, Xinhu 2nd Rd., Neihu Dist, Taipei City, 114, Taiwan.

BMC Cancer
|May 5, 2021
PubMed
Abstract

Insights

Genetic alterations in ovarian cancer are complex and vary by histology. Understanding these genetic profiles can personalize treatment and improve outcomes for patients with ovarian carcinomas.

Area of Science:

  • Oncology
  • Genetics
  • Molecular Biology

Background:

  • Epithelial ovarian cancer (EOC) genetic landscape remains incompletely understood.
  • Previous research has limitations in histology inclusion, gene analysis scope, copy number variant (CNV) detection, and pathway-level interpretation.
  • A comprehensive genetic characterization is needed for personalized therapeutic strategies.

Purpose of the Study:

  • To comprehensively analyze genetic alterations, including mutations and CNVs, across different epithelial ovarian cancer histologies.
  • To assess the actionability of identified genetic alterations for targeted therapy eligibility using a pathway-based approach.
  • To explore the potential for combination targeted therapies in ovarian cancer.

Main Methods:

  • Sequencing of 410 genes in 82 ovarian carcinomas (high-grade serous, endometrioid, clear cell histologies).
  • Analysis of mutations and copy number variants (CNVs).
  • Pathway-based assessment of targeted therapy eligibility, focusing on DNA repair, RTK, PI3K/AKT/MTOR, RAS/MAPK, cell cycle, and hedgehog pathways, including 14 drug targets.

Main Results:

  • PARP, MTOR, and CDK4/6 inhibition sensitivity were frequently observed.
  • Specific genetic alterations (e.g., BRCA1/2, PTEN loss, PIK3CA/CCND1 gain) were characteristic of high-grade serous carcinomas.
  • Other histologies showed enrichment for mutations in ARID1A, PIK3CA, KRAS, and ERBB2 gain; endometrioid carcinomas were characterized by PTEN mutations and high tumor mutational burden.
  • Actionability of targeted therapies was often limited by downstream alterations, and multiple actionable targets were common per patient.
  • Key gene mutational analysis alone would miss numerous actionable alterations.

Conclusions:

  • Ovarian carcinoma genetic alterations are intricate and histologically dependent.
  • Findings support personalized therapy selection and biomarker development for clinical trials.
  • There is significant potential for utilizing combination targeted therapies in ovarian cancer treatment.

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