Emerging peptide therapeutics for the treatment of ovarian cancer

Expert Opin Emerg Drugs. 2023 Dec;28(2):129-144. doi: 10.1080/14728214.2023.2218643. Epub 2023 Jun 7.

Abstract

Introduction: The discovery of therapeutic proteomic targets has resulted in remarkable advances in oncology. Identification of functional and hallmark peptides in ovarian cancer can be leveraged for diagnostic and therapeutic targeting. These targets are expressed in different tumor cell locations, making them excellent candidates for theranostic imaging, precision therapeutics, and immunotherapy. The ideal target is homogeneously overexpressed in malignant cells with no expression in healthy cells, thereby avoiding off-tumor bystander toxicity. Several peptides are currently undergoing extensive evaluation for the development of vaccines, antibody-drug conjugates, monoclonal antibodies, radioimmunoconjugates, and cell therapy.

Areas covered: This review focuses on the significance of peptides as promising targets in ovarian cancer. English peer-reviewed articles and abstracts were searched in MEDLINE, PubMed, Embase, and major conference databases.

Expert opinion: Peptides and proteins expressed in tumor cells are an exciting area of research with great potential and may significantly influence precision therapeutics and immunotherapeutic strategies. Accurate utilization of peptide expression as a predictive biomarker has the potential to greatly enhance treatment precision. The ability to measure receptor expression paves the way for its use as a predictive biomarker for therapeutic targeting and requires critical validation of sensitivity and specificity for each indication to guide therapy.

Keywords: Epithelial ovarian cancer; drug development; immunotherapy; proteomics; targeted therapy.

Publication types

  • Review
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Antibodies, Monoclonal / therapeutic use
  • Female
  • Humans
  • Immunotherapy
  • Ovarian Neoplasms* / drug therapy
  • Peptides
  • Proteomics*

Substances

  • Peptides
  • Antibodies, Monoclonal