使用RNA测序对非肌层浸润性膀胱癌进行全面基因表达分析揭示新的治疗策略。
Comprehensive Gene Expression Analysis in NMIBC Using RNA-seq Reveals New Therapy Strategies.
作者信息
Chen Xiaoliang, Jiang Fuquan, Jia Chunshu, Liu Ming, Nan Yonghao, Qu Licheng, Kong Qingkuo, Hou Fangfang, Luo Wenshan, Na Wanli, Jin Xuefei, Tan Jiufeng
机构信息
Department of Urology, China-Japan Union Hospital of Jilin University, Changchun, China.
Centre for Reproductive Medicine, Centre for Prenatal Diagnosis, First Hospital of Jilin University, Changchun, China.
出版信息
Front Oncol. 2019 Jun 25;9:523. doi: 10.3389/fonc.2019.00523. eCollection 2019.
Non-muscle invasive bladder cancer (NMIBC) patients often have fewer treatment options, and suffer the progression of disease due to mechanisms that are not clear, as well as due to its diversity. This study was designed to explore the molecular mechanism of bladder cancer through an RNA-seq. In addition to conventional analyses, we also simplified the network through modularization using the WGCNA algorithm, with the help of the topological overlapping matrix and hierarchical cluster tree, which are based on the PPI network of STRING. Furthermore, the hub genes were confirmed through survival analyses in the independent cohorts ( = 431). Among them, 15 genes were significantly associated with poor prognosis. Finally, we validated the results at mRNA and protein level using qRT-PCR, IHC and western blotting. Taken together, our research is important for the prediction, as well as the prospective clinical development of drug targets and biomarkers.
非肌层浸润性膀胱癌（NMIBC）患者的治疗选择往往较少，由于尚不清楚的机制以及其多样性，患者会遭受疾病进展。本研究旨在通过RNA测序探索膀胱癌的分子机制。除了常规分析外，我们还借助基于STRING的PPI网络的拓扑重叠矩阵和层次聚类树，使用WGCNA算法通过模块化简化网络。此外，通过独立队列（n = 431）中的生存分析证实了枢纽基因。其中，15个基因与预后不良显著相关。最后，我们使用qRT-PCR、免疫组化（IHC）和蛋白质免疫印迹法在mRNA和蛋白质水平验证了结果。综上所述，我们的研究对于预测以及药物靶点和生物标志物的前瞻性临床开发具有重要意义。
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