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  • 标题:A predictive model for serous epithelial ovarian cancer chemo-response using clinical characteristics
  • 本地全文:下载
  • 作者:Newtson, Andreea Mihai ; Chung, Rebecca K ; Devor, Eric J
  • 期刊名称:Proceedings in Obstetrics and Gynecology
  • 印刷版ISSN:2154-4751
  • 出版年度:2018
  • 卷号:8
  • 期号:1
  • 页码:1-2
  • 出版社:University of Iowa
  • 摘要:One of the prognostic factors most highly associated with ovarian cancer survival is response to initial chemotherapy. Current prediction models of chemo-response built with comprehensive molecular datasets, like The Cancer Genome Atlas (TCGA), could be improved by including clinical and outcomes data designed to study response to treatment. The objective of this study was to create a prediction model of ovarian cancer chemo-response using clinical-pathological features, and to compare its performance with a similar TCGA clinical model.
  • 关键词:Ovarian cancer; serous epithelial ovarian cancer; chemotherapy; chemotherapy response; prediction model; clinical predictors; TCGA
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