University of Hull logo

Urine biomarkers for the early detection of ovarian cancer – are we there yet?

Grayson, Kelly; Gregory, Ebony; Khan, Ghazala; Guinn, Barbara-Ann

Authors

Kelly Grayson

Ebony Gregory

Ghazala Khan

Abstract

Ovarian cancer affects around 7500 women in the United Kingdom every year. Despite this, there is no effective screening strategy or standard treatment for ovarian cancer. If diagnosed during stage I, ovarian cancer has a 90% 5-year survival rate; however, there is usually a masking of symptoms which leads to an often late-stage diagnosis and correspondingly poor survival rate. Current diagnostic methods are invasive and consist of a pelvic examination, transvaginal ultrasonography, and blood tests to detect cancer antigen 125 (CA125). Unfortunately, surgery is often still required to make a positive diagnosis. To address the need for accurate, specific, and non-invasive diagnostic methods, there has been an increased interest in biomarkers identified through non-invasive tests as tools for the earlier diagnosis of ovarian cancer. Although most studies have focused on the identification of biomarkers in blood, the ease of availability of urine and the high patient compliance rates suggest that it could provide a promising resource for the screening of patients for ovarian cancer.

Journal Article Type Article
Publication Date 2019-01
Journal Biomarkers in Cancer
Print ISSN 1179-299X
Electronic ISSN 1179-299X
Publisher Libertas Academica
Peer Reviewed Peer Reviewed
Volume 11
Article Number 1983097
Institution Citation Grayson, K., Gregory, E., Khan, G., & Guinn, B. (2019). Urine biomarkers for the early detection of ovarian cancer – are we there yet?. Biomarkers in Cancer, 11, https://doi.org/10.1177/1179299x19830977
DOI https://doi.org/10.1177/1179299x19830977
Keywords Biomarker; Ovarian cancer; Early detection; Diagnosis; Urine
Publisher URL https://journals.sagepub.com/doi/10.1177/1179299X19830977

Files

Article (149 Kb)
PDF

Copyright Statement
Creative Commons Non Commercial CC BY-NC: This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).





You might also like


Downloadable Citations