An eleven metabolic gene signature-based prognostic model for clear cell renal cell carcinoma

In this study, we performed bioinformatics and statistical analyses to investigate the prognostic significance of metabolic genes in clear cell renal cell carcinoma (ccRCC) using the transcriptome data of 539 ccRCC and 72 normal renal tissues from TCGA database. We identified 79 upregulated and 45 d...

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Detalles Bibliográficos
Autores principales: Wu, Yue, Wei, Xian, Feng, Huan, Hu, Bintao, Liu, Bo, Luan, Yang, Ruan, Yajun, Liu, Xiaming, Liu, Zhuo, Wang, Shaogang, Liu, Jihong, Wang, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals 2020
Materias:
Research Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746370/
https://www.ncbi.nlm.nih.gov/pubmed/33221754
http://dx.doi.org/10.18632/aging.104088

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7746370/
https://www.ncbi.nlm.nih.gov/pubmed/33221754
http://dx.doi.org/10.18632/aging.104088

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