Identifying Novel Biomarkers for Early Detection of Ovarian Cancer Using Exosomes
Abstract
High-grade serous ovarian cancer (HGSOC) accounts for over 75% of all epithelial OC and the majority of patients with HGSOC are diagnosed with advanced-stage disease due to a lack of early detection methods. Exosomes serve as a potential and unique source of biomarkers as they can be obtained via a patient blood draw, are highly stable, and reflect the information of their cell of origin. Due to these features, there is growing interest in the use of exosomal cargo (proteins, microRNAs and lipids) as a source of serum biomarkers. However, exosomal isolation and protein detection has not yet been proven or validated as a clinically effective method for early disease detection. Thus, there is a critical need to establish methods for exosomal isolation and to validate their use as biomarkers that can detect the early stages of HGSOC in order to improve the survival rates of patients with this disease.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 2023
- Accession Number
- AD1213946
Entities
People
- Karuppaiyah Selvendiran
Organizations
- Ohio State University