Integrated bioinformatics analysis of the NEDD4 family reveals a prognostic value of NEDD4L in clear-cell renal cell cancer
| Autor: | Binghua Tong, Ru Yang, Zewen Song, Baile Zuo, Dongdong Mao, Junjun Zhang, Meiqing Sun, Xiaoliang Fu, Shuai Liang, Guoyin Li, Xuesen Qi, Hui Zhao, Guo Zhenni, Gang Meng |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Bioinformatics
NEDD4L Clear-cell renal cell cancer NEDD4 Computational biology Biology General Biochemistry Genetics and Molecular Biology medicine KEGG Molecular Biology Proportional hazards model General Neuroscience General Medicine medicine.disease Prognosis Clear cell renal cell carcinoma Metabolism Oncology Tumor progression Nephrology Medicine General Agricultural and Biological Sciences Medical Genetics Clear cell Function (biology) |
| Zdroj: | PeerJ PeerJ, Vol 9, p e11880 (2021) |
| ISSN: | 2167-8359 |
| Popis: | The members of the Nedd4-like E3 family participate in various biological processes. However, their role in clear cell renal cell carcinoma (ccRCC) is not clear. This study systematically analyzed the Nedd4-like E3 family members in ccRCC data sets from multiple publicly available databases. NEDD4L was identified as the only NEDD4 family member differentially expressed in ccRCC compared with normal samples. Bioinformatics tools were used to characterize the function of NEDD4L in ccRCC. It indicated that NEDD4L might regulate cellular energy metabolism by co-expression analysis, and subsequent gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis. A prognostic model developed by the LASSO Cox regression method showed a relatively good predictive value in training and testing data sets. The result revealed that NEDD4L was associated with biosynthesis and metabolism of ccRCC. Since NEDD4L is downregulated and dysregulation of metabolism is involved in tumor progression, NEDD4L might be a potential therapeutic target in ccRCC. |
| Databáze: | OpenAIRE |
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