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Identification of several cell cycle relevant genes highly correlated with the progression and prognosis of human bladder urothelial tumor
Author(s) -
Wang Lu,
Chen Song,
Luo Yongwen,
Yuan Lushun,
Peng Tianchen,
Qian Kaiyu,
Liu Xuefeng,
Xiao Yu,
Wang Xinghuan
Publication year - 2019
Publication title -
journal of cellular physiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.529
H-Index - 174
eISSN - 1097-4652
pISSN - 0021-9541
DOI - 10.1002/jcp.28023
Subject(s) - biology , gene , cell cycle , bladder cancer , gene expression , candidate gene , cancer research , gene expression profiling , identification (biology) , cell , computational biology , genetics , bioinformatics , cancer , botany
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 transformation in 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.