Identification of ARHGEF38, NETO2, GOLM1, and SAPCD2 Associated With Prostate Cancer Progression by Bioinformatic Analysis and Experimental Validation

Prostate cancer (PCa) represents one of the most prevalent types of cancers and is a large health burden for men. The pathogenic mechanisms of PCa still need further investigation. The aim of this study was to construct an effective signature to predict the prognosis of PCa patients and identify the...

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Detalles Bibliográficos
Autores principales: Sun, Zhuolun, Mao, Yunhua, Zhang, Xu, Lu, Shuo, Wang, Hua, Zhang, Chi, Xiao, Chutian, Cao, Yinghao, Qing, Yunhao, Wang, Yu, Li, Ke
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Cell and Developmental Biology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440839/
https://www.ncbi.nlm.nih.gov/pubmed/34540835
http://dx.doi.org/10.3389/fcell.2021.718638

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8440839/
https://www.ncbi.nlm.nih.gov/pubmed/34540835
http://dx.doi.org/10.3389/fcell.2021.718638

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