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A risk stratification model based on four novel biomarkers predicts prognosis for patients with renal cell carcinoma

BACKGROUND: Accurate prediction of the prognosis of RCC using a single biomarker is challenging due to the genetic heterogeneity of the disease. However, it is essential to develop an accurate system to allow better patient selection for optimal treatment strategies. ARL4C, ECT2, SOD2, and STEAP3 ar...

תיאור מלא

שמור ב:
מידע ביבליוגרפי
הוצא לאור ב:World J Surg Oncol
Main Authors: Kubota, Shigehisa, Yoshida, Tetsuya, Kageyama, Susumu, Isono, Takahiro, Yuasa, Takeshi, Yonese, Junji, Kushima, Ryoji, Kawauchi, Akihiro, Chano, Tokuhiro
פורמט: Artigo
שפה:Inglês
יצא לאור: BioMed Central 2020
נושאים:
גישה מקוונת:https://ncbi.nlm.nih.gov/pmc/articles/PMC7584101/
https://ncbi.nlm.nih.gov/pubmed/33092599
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12957-020-02046-9
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