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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Detalhes bibliográficos
Publicado no:World J Surg Oncol
Main Authors: Kubota, Shigehisa, Yoshida, Tetsuya, Kageyama, Susumu, Isono, Takahiro, Yuasa, Takeshi, Yonese, Junji, Kushima, Ryoji, Kawauchi, Akihiro, Chano, Tokuhiro
Formato: Artigo
Idioma:Inglês
Publicado em: BioMed Central 2020
Assuntos:
Research
Acesso em linha: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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