期刊
JOURNAL OF CELLULAR PHYSIOLOGY
卷 234, 期 8, 页码 13439-13451出版社
WILEY
DOI: 10.1002/jcp.28023
关键词
bioinformatics analysis; biomarker; bladder cancer; cell cycle
资金
- Zhongnan Hospital of Wuhan University Science, Technology and Innovation Seed Fund [cxpy2017045]
- Wuhan Clinical Cancer Research Center of Urology and Male Reproduction [303-230100055]
The incidence of bladder cancer (BCa) in China is the highest among genitourinary system tumors, and its progression is affected by multitudinous pathways, of which cell cycle progress plays an important role. This study screened and enriched differentially expressed genes (DEGs) from four gene expression profiles using bioinformatics analysis methods. The enrichment and analysis of gene function showed that these genes were highly correlated with cell cycle regulation. Identification of candidate small molecules was conducted to evaluate the application of clinical transformationin these DEGs. Prognostic and stage-related expression analysis further sorted five highly expressed genes associated with worse prognosis and higher stages in patients with BCa. Further analysis revealed their interaction in cell cycle regulation and genetical alteration. Meanwhile, we validated the elevated expression of these genes through transcription and translation levels. Taking the results together, we could infer that these five genes are valuable in diagnosis, prediction, and providing candidate therapeutic targets for patients with BCa in different stages.
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