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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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Dettagli Bibliografici
Pubblicato in:J Ovarian Res
Autori principali: Zhang, Meiying, Zhuang, Guanglei, Sun, Xiangjun, Shen, Yanying, Zhao, Aimin, Di, Wen
Natura: Artigo
Lingua:Inglês
Pubblicazione: BioMed Central 2015
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Accesso online:https://ncbi.nlm.nih.gov/pmc/articles/PMC4618052/
https://ncbi.nlm.nih.gov/pubmed/26490766
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13048-015-0195-6
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