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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Detalles Bibliográficos
Autores principales: Lee, Shin-Wha, Lee, Ha-Young, Bang, Hyo Joo, Song, Hye-Jeong, Kong, Sek Won, Kim, Yong-Man
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
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

Internet

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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