基于TCGA数据集的膀胱癌转移中mRNA表达差异分析

Analysis of mRNA expression differences in bladder cancer metastasis based on TCGA datasets.

作者信息

Liu Sha, Shi Jiazhong, Liu Yuting, Wang Liwei, Zhang Jingqi, Huang Yaqin, Chen Zhiwen, Yang Jin

机构信息

Department of Cell Biology, Third Military Medical University, Chongqing, China.

Department of Urology, Chinese People's Armed Police Force Tibet Corps Hospital, Lhasa, Tibet, China.

出版信息

J Int Med Res. 2021 Mar;49(3):300060521996929. doi: 10.1177/0300060521996929.

DOI:10.1177/0300060521996929

PMID:33787386

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8020247/

Abstract

OBJECTIVE

To investigate the metastatic mechanism of muscle invasive bladder cancer (MIBC), which accounts for approximately 30% of all bladder cancer cases, and is a considerable medical problem with high metastatic and mortality rates.

METHODS

The mRNA levels of patients with metastatic MIBC and nonmetastatic MIBC from The Cancer Genome Atlas dataset were compared. An integrated bioinformatics analysis was performed of the differentially expressed genes (DEGs), and analyses of Gene Ontology, Kyoto Encyclopaedia of Genes and Genomes pathway, protein-protein interaction, and survival were performed to investigate differences between metastatic and nonmetastatic MIBC.

RESULTS

Data from 264 patients were included (131 with, and 133 without, metastasis). A total of 385 significantly DEGs were identified, including 209 upregulated genes and 176 downregulated genes. Based on results using the STRING database and the MCODE plugin of Cytoscape software, two clusters were obtained. Moreover, two genes were identified that may be valuable for prognostic analysis: Keratin 38, type I () and Histone cluster 1, H3f ().

CONCLUSION

The and genes may be important in metastasis of MIBC.

摘要

目的

研究肌肉浸润性膀胱癌（MIBC）的转移机制，MIBC约占所有膀胱癌病例的30%，是一个具有高转移率和死亡率的重大医学问题。

方法

比较来自癌症基因组图谱数据集的转移性MIBC患者和非转移性MIBC患者的mRNA水平。对差异表达基因（DEG）进行综合生物信息学分析，并进行基因本体论、京都基因与基因组百科全书通路、蛋白质-蛋白质相互作用和生存分析，以研究转移性和非转移性MIBC之间的差异。

结果

纳入了264例患者的数据（131例有转移，133例无转移）。共鉴定出385个显著差异表达基因，包括209个上调基因和176个下调基因。基于使用STRING数据库和Cytoscape软件的MCODE插件的结果，获得了两个聚类。此外，鉴定出两个可能对预后分析有价值的基因：角蛋白38，I型（）和组蛋白簇1，H3f（）。