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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...
Autores principales: | Lee, Shin-Wha, Lee, Ha-Young, Bang, Hyo Joo, Song, Hye-Jeong, Kong, Sek Won, Kim, Yong-Man |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6801627/ https://www.ncbi.nlm.nih.gov/pubmed/31590408 http://dx.doi.org/10.3390/ijms20194938 |
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