Mao Yeqing, Wen Chao, Yang Zitong
Urology Department, The First Affiliated Hospital, College of Medicine, Zhejiang University, Hangzhou, China.
Medical College, Zhejiang University, Hangzhou, China.
Front Oncol. 2022 Feb 25;12:835074. doi: 10.3389/fonc.2022.835074. eCollection 2022.
Carcinoma of urinary bladder is the most familiar cancer of the urinary tract, with the highest incidence in men. However, its prognosis and treatment have not improved significantly in the last 30 years. The main reason for this may be related to the alteration and regulation of genes. These alterations in genes that play a crucial role in cell cycle regulation may result in high-grade tumors and may alter drug sensitivity. Notably, the role of lncRNA in bladder cancer, especially the lncRNA-mRNA regulatory network, has not been fully elucidated. In this manuscript, we compared RNA sequencing (RNA-seq) data from 19 normal bladder tissues and 411 primary bladder tumor tissues using The Cancer Genome Atlas (TCGA) data bank, subjected differentially expressed mRNAs and lncRNAs to weighted gene co-expression network analysis, and screened out modules highly correlated with tumor progression. Subsequently, a lncRNA-mRNA co-expression network was built, and two key mRNAs were identified COX regression analysis. Kaplan-Meier curve analysis revealed that the overall survival of sick people in the high-risk section was significantly shorter than those in the low-risk section. Therefore, this lncRNA-mRNA-based co-expression pattern may be used clinically to predict the prognosis of carcinoma of urinary bladder people. Our study not only provides a genetic target for carcinoma of urinary bladder therapy but also provides new ideas for people in the medical profession to discover the treatment of various tumors.
膀胱癌是泌尿系统最常见的癌症，男性发病率最高。然而，在过去30年里，其预后和治疗并未显著改善。主要原因可能与基因的改变和调控有关。这些在细胞周期调控中起关键作用的基因改变可能导致高级别肿瘤，并可能改变药物敏感性。值得注意的是，lncRNA在膀胱癌中的作用，尤其是lncRNA - mRNA调控网络，尚未完全阐明。在本手稿中，我们使用癌症基因组图谱（TCGA）数据库比较了19个正常膀胱组织和411个原发性膀胱肿瘤组织的RNA测序（RNA-seq）数据，对差异表达的mRNA和lncRNA进行加权基因共表达网络分析，并筛选出与肿瘤进展高度相关的模块。随后，构建了lncRNA - mRNA共表达网络，并通过COX回归分析鉴定出两个关键mRNA。Kaplan-Meier曲线分析显示，高危组患者的总生存期明显短于低危组。因此，这种基于lncRNA - mRNA的共表达模式可用于临床预测膀胱癌患者的预后。我们的研究不仅为膀胱癌治疗提供了一个基因靶点，也为医学界人士发现各种肿瘤的治疗方法提供了新思路。
