HER3 mRNA as a predictive biomarker in anticancer therapy

Lukas C Amler1

  • 1Genentech, Inc., Oncology Biomarker Development, 1 DNA Way, South San Francisco, 94080-4990, USA. amler@gene.com

Abstract

Insights

Low HER3 mRNA levels may predict patient benefit from HER2-HER3 dimerization inhibitors like pertuzumab. This finding is crucial for identifying patients likely to respond to targeted anticancer therapies.

Area of Science:

  • Oncology
  • Molecular Biology
  • Pharmacogenomics

Background:

  • The heterodimerization of human epidermal growth factor receptor (HER) 2 and HER3 is critical for HER-mediated pathway signaling and cellular transformation.
  • HER3 is an important target in oncogenesis, necessitating research into its role and therapeutic targeting.
  • Identifying biomarkers for clinical benefit is essential for effective translation of HER3-targeted therapies.

Purpose of the Study:

  • To review the targeting of HER2 and HER3 by monoclonal antibodies.
  • To evaluate HER3 mRNA levels as a predictive biomarker for treatment outcomes in ovarian cancer.

Main Methods:

  • Review of literature on HER2-HER3 targeting agents.
  • Analysis of HER3 mRNA levels as a potential biomarker.

Main Results:

  • HER3 mRNA levels show potential as a biomarker for predicting clinical benefit.
  • Low HER3 mRNA levels correlate with positive outcomes when using the HER2-HER3 dimerization inhibitor pertuzumab.

Conclusions:

  • HER3 mRNA levels may indicate active ligand-induced HER2-HER3 signaling.
  • Low HER3 mRNA levels are associated with clinical benefit from pertuzumab, suggesting its utility in patient selection.