Identification of a Novel PPAR Signature for Predicting Prognosis, Immune Microenvironment, and Chemotherapy Response in Bladder Cancer.

IF 3.5 3区 医学 Q2 MEDICINE, RESEARCH & EXPERIMENTAL
PPAR Research Pub Date : 2021-12-30 eCollection Date: 2021-01-01 DOI:10.1155/2021/7056506
Ke Zhu, Wen Deng, Hui Deng, Xiaoqiang Liu, Gongxian Wang, Bin Fu
{"title":"Identification of a Novel PPAR Signature for Predicting Prognosis, Immune Microenvironment, and Chemotherapy Response in Bladder Cancer.","authors":"Ke Zhu,&nbsp;Wen Deng,&nbsp;Hui Deng,&nbsp;Xiaoqiang Liu,&nbsp;Gongxian Wang,&nbsp;Bin Fu","doi":"10.1155/2021/7056506","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Mounting evidence has confirmed that peroxisome proliferator-activated receptors (PPARs) played a crucial role in the development and progression of bladder cancer (BLCA). The purpose of this study is to comprehensively investigate the function and prognostic value of PPAR-targeted genes in BLCA.</p><p><strong>Methods: </strong>The RNA sequencing data and clinical information of BLCA patients were acquired from The Cancer Genome Atlas (TCGA). The differentially expressed PPAR-targeted genes were investigated. Cox analysis and least absolute shrinkage and selection operator (LASSO) analysis were performed for screening prognostic PPAR-targeted genes and constructing the prognostic PPAR signature and then validated by GSE13507 cohort and GSE32894 cohort. A nomogram was constructed to predict the outcomes of BLCA patients in combination with PPAR signature and clinical factors. Gene set enrichment analysis (GSEA) and immune cell infiltration were implemented to explore the molecular characteristics of the signature. The Genomics of Drug Sensitivity in Cancer (GDSC) database was used to predict the chemotherapy responses of the prognostic signature. The candidate small molecule drugs targeting PPAR-targeted genes were screened by the CMAP database.</p><p><strong>Results: </strong>We constructed and validated the prognostic signature comprising of 4 PPAR-targeted genes (CPT1B, CALR, AHNAK, and FADS2), which was an independent prognostic biomarker in BLCA patients. A nomogram based on the signature and clinical factors was established in the TCGA set, and the calibration plots displayed the excellent predictive capacity. GSEA analysis indicated that PPAR signature was implicated in multiple oncogenic signaling pathways and correlated with tumor immune cell infiltration. Patients in the high-risk groups showed greater sensitivity to chemotherapy than those in the low-risk groups. Moreover, 11 candidate small molecule drugs were identified for the treatment of BLCA.</p><p><strong>Conclusion: </strong>We constructed and validated a novel PPAR signature, which showed the excellent performance in predicting prognosis and chemotherapy sensitivity of BLCA patients.</p>","PeriodicalId":20439,"journal":{"name":"PPAR Research","volume":null,"pages":null},"PeriodicalIF":3.5000,"publicationDate":"2021-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8749226/pdf/","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"PPAR Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1155/2021/7056506","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2021/1/1 0:00:00","PubModel":"eCollection","JCR":"Q2","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 4

Abstract

Background: Mounting evidence has confirmed that peroxisome proliferator-activated receptors (PPARs) played a crucial role in the development and progression of bladder cancer (BLCA). The purpose of this study is to comprehensively investigate the function and prognostic value of PPAR-targeted genes in BLCA.

Methods: The RNA sequencing data and clinical information of BLCA patients were acquired from The Cancer Genome Atlas (TCGA). The differentially expressed PPAR-targeted genes were investigated. Cox analysis and least absolute shrinkage and selection operator (LASSO) analysis were performed for screening prognostic PPAR-targeted genes and constructing the prognostic PPAR signature and then validated by GSE13507 cohort and GSE32894 cohort. A nomogram was constructed to predict the outcomes of BLCA patients in combination with PPAR signature and clinical factors. Gene set enrichment analysis (GSEA) and immune cell infiltration were implemented to explore the molecular characteristics of the signature. The Genomics of Drug Sensitivity in Cancer (GDSC) database was used to predict the chemotherapy responses of the prognostic signature. The candidate small molecule drugs targeting PPAR-targeted genes were screened by the CMAP database.

Results: We constructed and validated the prognostic signature comprising of 4 PPAR-targeted genes (CPT1B, CALR, AHNAK, and FADS2), which was an independent prognostic biomarker in BLCA patients. A nomogram based on the signature and clinical factors was established in the TCGA set, and the calibration plots displayed the excellent predictive capacity. GSEA analysis indicated that PPAR signature was implicated in multiple oncogenic signaling pathways and correlated with tumor immune cell infiltration. Patients in the high-risk groups showed greater sensitivity to chemotherapy than those in the low-risk groups. Moreover, 11 candidate small molecule drugs were identified for the treatment of BLCA.

Conclusion: We constructed and validated a novel PPAR signature, which showed the excellent performance in predicting prognosis and chemotherapy sensitivity of BLCA patients.

Abstract Image

Abstract Image

Abstract Image

一种新的用于预测膀胱癌预后、免疫微环境和化疗反应的PPAR标记的鉴定。
背景:越来越多的证据证实过氧化物酶体增殖物激活受体(PPARs)在膀胱癌(BLCA)的发生和发展中起着至关重要的作用。本研究旨在全面探讨ppar靶向基因在BLCA中的功能及预后价值。方法:从癌症基因组图谱(TCGA)中获取BLCA患者的RNA测序数据和临床信息。研究了ppar靶向基因的差异表达。采用Cox分析和LASSO (least absolute shrink and selection operator)分析筛选预后PPAR靶向基因,构建预后PPAR特征,并通过GSE13507和GSE32894队列进行验证。结合PPAR特征和临床因素,构建了预测BLCA患者预后的nomogram。通过基因集富集分析(GSEA)和免疫细胞浸润来探索该标记的分子特征。肿瘤药物敏感性基因组学(GDSC)数据库用于预测预后特征的化疗反应。利用CMAP数据库筛选ppar靶向基因候选小分子药物。结果:我们构建并验证了由4个ppar靶向基因(CPT1B、CALR、AHNAK和FADS2)组成的预后标记,该标记是BLCA患者的独立预后生物标志物。在TCGA集合中建立了基于特征和临床因素的nomogram,校正图显示出较好的预测能力。GSEA分析表明PPAR信号参与多种致癌信号通路,并与肿瘤免疫细胞浸润相关。高危组患者对化疗的敏感性高于低危组患者。此外,我们还发现了11种治疗BLCA的候选小分子药物。结论:我们构建并验证了一种新的PPAR标记,该标记在预测BLCA患者的预后和化疗敏感性方面具有良好的效果。
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 求助全文
来源期刊
PPAR Research
PPAR Research MEDICINE, RESEARCH & EXPERIMENTAL-
CiteScore
6.20
自引率
3.40%
发文量
17
审稿时长
12 months
期刊介绍: PPAR Research is a peer-reviewed, Open Access journal that publishes original research and review articles on advances in basic research focusing on mechanisms involved in the activation of peroxisome proliferator-activated receptors (PPARs), as well as their role in the regulation of cellular differentiation, development, energy homeostasis and metabolic function. The journal also welcomes preclinical and clinical trials of drugs that can modulate PPAR activity, with a view to treating chronic diseases and disorders such as dyslipidemia, diabetes, adipocyte differentiation, inflammation, cancer, lung diseases, neurodegenerative disorders, and obesity.
文献相关原料
公司名称 产品信息 采购帮参考价格
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信