Identification of 9 key genes and small molecule drugs in clear cell renal cell carcinoma
| Autor: | Dexin Shen, Lingao Ju, Xinghuan Wang, Kaiyu Qian, Gang Wang, Yongwen Luo, Liang Chen, Yu Xiao, Xuefeng Liu |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Aging
Candidate gene clear cell renal cell carcinoma (ccRCC) Drug Evaluation Preclinical Antineoplastic Agents CDC20 Gene Set Enrichment Analysis (GSEA) Biology medicine Humans Gene Regulatory Networks Carcinoma Renal Cell Gene Gene Expression Profiling Weighted correlation network analysis Computational Biology Cell Biology Prognosis medicine.disease Small molecule Kidney Neoplasms Gene Expression Regulation Neoplastic Clear cell renal cell carcinoma Weighted Gene Co-expression Network Analysis (WGCNA) Disease Progression Cancer research FOXM1 biomarker Biomarker (medicine) Research Paper |
| Zdroj: | Aging (Albany NY) |
| ISSN: | 1945-4589 |
| DOI: | 10.18632/aging.102161 |
| Popis: | Clear cell renal cell carcinoma (ccRCC) is a heterogeneous tumor that the underlying molecular mechanisms are largely unclear. This study aimed to elucidate the key candidate genes and pathways in ccRCC by integrated bioinformatics analysis. 1387 differentially expressed genes were identified based on three expression profile datasets, including 673 upregulated genes and 714 downregulated genes. Then we used weighted correlation network analysis to identify 6 modules associated with pathological stage and grade, blue module was the most relevant module. GO and KEGG pathway analyses showed that genes in blue module were enriched in cell cycle and metabolic related pathways. Further, 25 hub genes in blue module were identified as hub genes. Based on GEPIA database, 9 genes were associated with progression and prognosis of ccRCC patients, including PTTG1, RRM2, TOP2A, UHRF1, CEP55, BIRC5, UBE2C, FOXM1 and CDC20. Then multivariate Cox regression showed that the risk score base on 9 key genes signature was a clinically independent prognostic factor for ccRCC patients. Moreover, we screened out several new small molecule drugs that have the potential to treat ccRCC. Few of them were identified as biomarkers in ccRCC. In conclusion, our research identified 9 potential prognostic genes and several candidate small molecule drugs for ccRCC treatment. |
| Databáze: | OpenAIRE |
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