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Dilution of Molecular–Pathologic Gene Signatures by Medically Associated Factors Might Prevent Prediction of Resection Status After Debulking Surgery in Patients With Advanced Ovarian Cancer

PURPOSE: Predicting surgical outcome could improve individualizing treatment strategies for patients with advanced ovarian cancer. It has been suggested earlier that gene expression signatures (GES) might harbor the potential to predict surgical outcome. EXPERIMENTAL DESIGN: Data derived from high-g...

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書目詳細資料
發表在:Clin Cancer Res
Main Authors: Heitz, Florian, Kommoss, Stefan, Tourani, Roshan, Grandelis, Anthony, Uppendahl, Locke, Aliferis, Constantin, Burges, Alexander, Wang, Chen, Canzler, Ulrich, Wang, Jinhua, Belau, Antje, Prader, Sonia, Hanker, Lars, Ma, Sisi, Ataseven, Beyhan, Hilpert, Felix, Schneider, Stephanie, Sehouli, Jalid, Kimmig, Rainer, Kurzeder, Christian, Schmalfeldt, Barbara, Braicu, Elena I., Harter, Philipp, Dowdy, Sean C., Winterhoff, Boris J., Pfisterer, Jacobus, du Bois, Andreas
格式: Artigo
語言:Inglês
出版: 2019
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在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC7722525/
https://ncbi.nlm.nih.gov/pubmed/31527166
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1158/1078-0432.CCR-19-1741
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