Risk prediction model for epithelial ovarian cancer using molecular markers and clinical characteristics

BACKGROUND: A high-quality risk prediction model is urgently needed for the clinical management of ovarian cancer. However most existing models are solely based on clinical parameters, and molecular classifications in recent reports are still being debated. This study aimed to establish a risk predi...

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Detalles Bibliográficos
Autores principales: Zhang, Meiying, Zhuang, Guanglei, Sun, Xiangjun, Shen, Yanying, Zhao, Aimin, Di, Wen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4618052/
https://www.ncbi.nlm.nih.gov/pubmed/26490766
http://dx.doi.org/10.1186/s13048-015-0195-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4618052/
https://www.ncbi.nlm.nih.gov/pubmed/26490766
http://dx.doi.org/10.1186/s13048-015-0195-6

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