An Improved Prediction Model for Ovarian Cancer Using Urinary Biomarkers and a Novel Validation Strategy

An Improved Prediction Model for Ovarian Cancer Using Urinary Biomarkers and a Novel Validation Strategy

This study was designed to analyze urinary proteins associated with ovarian cancer (OC) and investigate the potential urinary biomarker panel to predict malignancy in women with pelvic masses. We analyzed 23 biomarkers in urine samples obtained from 295 patients with pelvic masses scheduled for surg...

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Bibliographic Details
Main Authors: Shin-Wha Lee, Ha-Young Lee, Hyo Joo Bang, Hye-Jeong Song, Sek Won Kong, Yong-Man Kim
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:International Journal of Molecular Sciences
Subjects:
ovarian cancer
prediction model
urinary biomarker
Online Access:https://www.mdpi.com/1422-0067/20/19/4938

Internet

https://www.mdpi.com/1422-0067/20/19/4938

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