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...

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Vydáno v:World J Surg Oncol
Hlavní autoři: Kubota, Shigehisa, Yoshida, Tetsuya, Kageyama, Susumu, Isono, Takahiro, Yuasa, Takeshi, Yonese, Junji, Kushima, Ryoji, Kawauchi, Akihiro, Chano, Tokuhiro
Médium: Artigo
Jazyk:Inglês
Vydáno: BioMed Central 2020
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Research
On-line přístup: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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