Comprehending the proteomic landscape of ovarian cancer : A road to the discovery of disease biomarkers

Summary, in English

Despite recent technological advancements allowing the characterization of cancers at a molecular level along with biomarkers for cancer diagnosis, the management of ovarian cancers (OC) remains challenging. Proteins assume functions encoded by the genome and the complete set of proteins, termed the proteome, reflects the health state. Comprehending the circulatory proteomic profiles for OC subtypes, therefore, has the potential to reveal biomarkers with clinical utility concerning early diagnosis or to predict response to specific therapies. Furthermore, characterization of the proteomic landscape of tumor-derived tissue, cell lines, and PDX models has led to the molecular stratification of patient groups, with implications for personalized therapy and management of drug resistance. Here, we review single and multiple marker panels that have been identified through proteomic investigations of patient sera, effusions, and other biospecimens. We discuss their clinical utility and implementation into clinical practice.

• Author: Shuvolina Mukherjee; Karin Sundfeldt; Carl A.K. Borrebaeck; Magnus E. Jakobsson
• Department/s: Department of Immunotechnology; LUCC: Lund University Cancer Centre
• Publishing year: 2021
• Language: English
• Publication/Series: Proteomes
• Volume: 9
• Issue: 2
• Links: http://dx.doi.org/10.3390/proteomes9020025
• Document type: Journal article review
• Publisher: MDPI AG
• Topic: Cancer and Oncology
• Keywords: Biomarkers; Ovarian cancer; Proteomics
• Status: Published
• ISBN/ISSN/Other: ISSN: 2227-7382