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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kubota, Shigehisa, Yoshida, Tetsuya, Kageyama, Susumu, Isono, Takahiro, Yuasa, Takeshi, Yonese, Junji, Kushima, Ryoji, Kawauchi, Akihiro, Chano, Tokuhiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7584101/
https://www.ncbi.nlm.nih.gov/pubmed/33092599
http://dx.doi.org/10.1186/s12957-020-02046-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7584101/
https://www.ncbi.nlm.nih.gov/pubmed/33092599
http://dx.doi.org/10.1186/s12957-020-02046-9

Ejemplares similares