Suppr超能文献

膀胱癌中吉西他滨耐药生物标志物与肿瘤免疫微环境相关。

Gemcitabine-Resistant Biomarkers in Bladder Cancer are Associated with Tumor-Immune Microenvironment.

作者信息

Song Yuxuan, Du Yiqing, Qin Caipeng, Liang Haohong, Yang Wenbo, Lin Jiaxing, Ding Mengting, Han Jingli, Xu Tao

机构信息

Department of Urology, Peking University People's Hospital, Beijing, China.

Biomedical Pioneering Innovation Center (BIOPIC), School of Life Sciences, Peking University, Beijing, China.

出版信息

Front Cell Dev Biol. 2022 Jan 21;9:809620. doi: 10.3389/fcell.2021.809620. eCollection 2021.

Abstract

To identify key biomarkers in gemcitabine (GEM)-resistant bladder cancer (BCa) and investigate their associations with tumor-infiltrating immune cells in a tumor immune microenvironment, we performed the present study on the basis of large-scale sequencing data. Expression profiles from the Gene Expression Omnibus GSE77883 dataset and The Cancer Genome Atlas BLCA dataset were analyzed. Both BCa development and GEM-resistance were identified to be immune-related through evaluating tumor-infiltrating immune cells. Eighty-two DEGs were obtained to be related to GEM-resistance. Functional enrichment analysis demonstrated they were related to regulation of immune cells proliferation. Protein-protein interaction network selected six key genes (CAV1, COL6A2, FABP4, FBLN1, PCOLCE, and CSPG4). Immunohistochemistry confirmed the down-regulation of the six key genes in BCa. Survival analyses revealed the six key genes were significantly associated with BCa overall survival. Correlation analyses revealed the six key genes had high infiltration of most immune cells. Gene set enrichment analysis further detected the key genes might regulate GEM-resistance through immune response and drug metabolism of cytochrome P450. Next, microRNA-gene regulatory network identified three key microRNAs (hsa-miR-124-3p, hsa-miR-26b-5p, and hsa-miR-192-5p) involved in GEM-resistant BCa. Connectivity Map analysis identified histone deacetylase inhibitors might circumvent GEM-resistance. In conclusion, CAV1, COL6A2, FABP4, FBLN1, PCOLCE, and CSPG4 were identified to be critical biomarkers through regulating the immune cell infiltration in an immune microenvironment of GEM-resistance and could act as promising treatment targets for GEM-resistant muscle-invasive BCa.

摘要

为了鉴定吉西他滨(GEM)耐药性膀胱癌(BCa)中的关键生物标志物,并研究它们与肿瘤免疫微环境中肿瘤浸润免疫细胞的相关性,我们基于大规模测序数据开展了本研究。分析了基因表达综合数据库GSE77883数据集和癌症基因组图谱BLCA数据集的表达谱。通过评估肿瘤浸润免疫细胞,确定BCa的发生发展和GEM耐药性均与免疫相关。获得了82个与GEM耐药相关的差异表达基因(DEG)。功能富集分析表明,它们与免疫细胞增殖的调节有关。蛋白质-蛋白质相互作用网络筛选出6个关键基因(CAV1、COL6A2、FABP4、FBLN1、PCOLCE和CSPG4)。免疫组织化学证实这6个关键基因在BCa中表达下调。生存分析显示,这6个关键基因与BCa的总生存期显著相关。相关性分析显示,这6个关键基因在大多数免疫细胞中具有高浸润性。基因集富集分析进一步检测到这些关键基因可能通过免疫反应和细胞色素P450的药物代谢来调节GEM耐药性。接下来,微小RNA-基因调控网络鉴定出3个参与GEM耐药性BCa的关键微小RNA(hsa-miR-124-3p、hsa-miR-26b-5p和hsa-miR-192-5p)。连接图谱分析表明,组蛋白去乙酰化酶抑制剂可能克服GEM耐药性。总之,通过调节GEM耐药性免疫微环境中的免疫细胞浸润,确定CAV1、COL6A2、FABP4、FBLN1、PCOLCE和CSPG4为关键生物标志物,它们有望成为GEM耐药性肌肉浸润性BCa的治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fa7f/8814447/f29e98ae34be/fcell-09-809620-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验