Three Prognostic Biomarkers Correlate with Immune Checkpoint Blockade Response in Bladder Urothelial Carcinoma

Ya Guo, Yin Bin Zhang, Yi Li, Wang Hui Su, Shan He, Shu Pei Pan, Kun Xu, Wei Hua Kou
{"title":"Three Prognostic Biomarkers Correlate with Immune Checkpoint Blockade Response in Bladder Urothelial Carcinoma","authors":"Ya Guo,&nbsp;Yin Bin Zhang,&nbsp;Yi Li,&nbsp;Wang Hui Su,&nbsp;Shan He,&nbsp;Shu Pei Pan,&nbsp;Kun Xu,&nbsp;Wei Hua Kou","doi":"10.1155/2022/3342666","DOIUrl":null,"url":null,"abstract":"<div>\n <p><i>Aim</i>. We aim to develop a signature that could accurately predict prognosis and evaluate the response to immune checkpoint blockade (ICB) in bladder urothelial carcinoma (BLCA). <i>Methods</i>. Based on comprehensive analysis of public database, we identified prognosis-related hub genes and investigated their predictive values for the ICB response in BLCA. <i>Results</i>. Among 69 common DEGs, three genes (AURKA, BIRC5, and CKS1B) were associated with poor prognosis, and which were related to histological subtypes, TP53 mutation status, and the C2 (IFN-gamma dominant) subtype. Three genes and their related risk model can effectively predict the response of immunotherapy. Their related drugs were identified through analysis of drug bank database. <i>Conclusions</i>. Three genes could predict prognosis and evaluate the response to ICB in BLCA.</p>\n </div>","PeriodicalId":55239,"journal":{"name":"Comparative and Functional Genomics","volume":"2022 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-05-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1155/2022/3342666","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Comparative and Functional Genomics","FirstCategoryId":"1085","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1155/2022/3342666","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Aim. We aim to develop a signature that could accurately predict prognosis and evaluate the response to immune checkpoint blockade (ICB) in bladder urothelial carcinoma (BLCA). Methods. Based on comprehensive analysis of public database, we identified prognosis-related hub genes and investigated their predictive values for the ICB response in BLCA. Results. Among 69 common DEGs, three genes (AURKA, BIRC5, and CKS1B) were associated with poor prognosis, and which were related to histological subtypes, TP53 mutation status, and the C2 (IFN-gamma dominant) subtype. Three genes and their related risk model can effectively predict the response of immunotherapy. Their related drugs were identified through analysis of drug bank database. Conclusions. Three genes could predict prognosis and evaluate the response to ICB in BLCA.

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
三种预后生物标志物与膀胱尿路上皮癌免疫检查点阻断反应相关
目的开发一种能够准确预测膀胱尿路上皮癌(BLCA)预后和评价免疫检查点阻断(ICB)应答的标志物。方法在综合分析公共数据库的基础上,确定与预后相关的枢纽基因,并研究其对BLCA患者ICB反应的预测价值。结果69例常见deg中,AURKA、BIRC5、CKS1B 3个基因与预后不良相关,且与组织学亚型、TP53突变状态、C2 (ifn - γ显性)亚型相关。三种基因及其相关风险模型可以有效预测免疫治疗的反应。通过对药库数据库的分析,鉴定出相关药物。结论3个基因可预测BLCA患者的预后和评价ICB的疗效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Comparative and Functional Genomics
Comparative and Functional Genomics 生物-生化与分子生物学
自引率
0.00%
发文量
0
审稿时长
2 months
期刊最新文献
A Prognostic Riskscore Model Related to Helicobacter pylori Infection in Stomach Adenocarcinoma Multiomics Analysis of Exportin Family Reveals XPO1 as a Novel Target for Clear Cell Renal Cell Carcinoma Identification of the hsa_circ_0001314-Related ceRNA Network in Breast Cancer With Bioinformatics Analysis The High-Quality Genome Sequencing and Analysis of Red Raspberry (Rubus idaeus L.) Pan-Cancer Analysis Reveals PRIM2 as a Potential Biomarker for Diagnosis, Prognosis, and Immunomodulatory
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1