Improved early detection of ovarian cancer using longitudinal multimarker models.

ABSTRACT:

Background

Ovarian cancer has a poor survival rate due to late diagnosis and improved methods are needed for its early detection. Our primary objective was to identify and incorporate additional biomarkers into longitudinal models to improve on the performance of CA125 as a first-line screening test for ovarian cancer.

Methods

This case-control study nested within UKCTOCS used 490 serial serum samples from 49 women later diagnosed with ovarian cancer and 31 control women who were cancer-free. Proteomics-based biomarker discovery was carried out using pooled samples and selected candidates, including those from the literature, assayed in all serial samples. Multimarker longitudinal models were derived and tested against CA125 for early detection of ovarian cancer.

Results<

SUBMITTER: Whitwell HJ 

PROVIDER: S-EPMC7078315 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature