Quantitative Mass Spectrometry-Based Proteomics for Biomarker Development in Ovarian Cancer

Molecules. 2021 May 3;26(9):2674. doi: 10.3390/molecules26092674.

Abstract

Ovarian cancer is the most lethal gynecologic malignancy among women. Approximately 70-80% of patients with advanced ovarian cancer experience relapse within five years and develop platinum-resistance. The short life expectancy of patients with platinum-resistant or platinum-refractory disease underscores the need to develop new and more effective treatment strategies. Early detection is a critical step in mitigating the risk of disease progression from early to an advanced stage disease, and protein biomarkers have an integral role in this process. The best biological diagnostic tool for ovarian cancer will likely be a combination of biomarkers. Targeted proteomics methods, including mass spectrometry-based approaches, have emerged as robust methods that can address the chasm between initial biomarker discovery and the successful verification and validation of these biomarkers enabling their clinical translation due to the robust sensitivity, specificity, and reproducibility of these versatile methods. In this review, we provide background information on the fundamental principles of biomarkers and the need for improved treatment strategies in ovarian cancer. We also provide insight into the ways in which mass spectrometry-based targeted proteomics approaches can provide greatly needed solutions to many of the challenges related to ovarian cancer biomarker development.

Keywords: biomarker; mass spectrometry; ovarian cancer; proteomics.

Publication types

  • Review

MeSH terms

  • Biomarkers, Tumor / metabolism*
  • Carcinoma, Ovarian Epithelial / diagnosis
  • Early Detection of Cancer
  • Female
  • Humans
  • Mass Spectrometry / methods*
  • Neoplasm Recurrence, Local
  • Ovarian Neoplasms / diagnosis
  • Ovarian Neoplasms / metabolism*
  • Proteome
  • Proteomics / methods*
  • Reproducibility of Results

Substances

  • Biomarkers, Tumor
  • Proteome