Deciphering the immunological and prognostic features of bladder cancer through platinum-resistance-related genes analysis and identifying potential therapeutic target P4HB

ObjectivesTo identify the molecular subtypes and develop a scoring system for the tumor immune microenvironment (TIME) and prognostic features of bladder cancer (BLCA) based on the platinum-resistance-related (PRR) genes analysis while identifying P4HB as a potential therapeutic target.MethodsIn thi...

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Main Authors: Situ Xiong, Sheng Li, Jin Zeng, Jianqiang Nie, Taobin Liu, Xiaoqiang Liu, Luyao Chen, Bin Fu, Jun Deng, Songhui Xu
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Immunology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fimmu.2023.1253586/full
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author Situ Xiong
Situ Xiong
Sheng Li
Sheng Li
Jin Zeng
Jin Zeng
Jianqiang Nie
Jianqiang Nie
Taobin Liu
Taobin Liu
Xiaoqiang Liu
Luyao Chen
Bin Fu
Bin Fu
Jun Deng
Songhui Xu
Songhui Xu
author_facet Situ Xiong
Situ Xiong
Sheng Li
Sheng Li
Jin Zeng
Jin Zeng
Jianqiang Nie
Jianqiang Nie
Taobin Liu
Taobin Liu
Xiaoqiang Liu
Luyao Chen
Bin Fu
Bin Fu
Jun Deng
Songhui Xu
Songhui Xu
author_sort Situ Xiong
collection DOAJ
description ObjectivesTo identify the molecular subtypes and develop a scoring system for the tumor immune microenvironment (TIME) and prognostic features of bladder cancer (BLCA) based on the platinum-resistance-related (PRR) genes analysis while identifying P4HB as a potential therapeutic target.MethodsIn this study, we analyzed gene expression data and clinical information of 594 BLCA samples. We used unsupervised clustering to identify molecular subtypes based on the expression levels of PRR genes. Functional and pathway enrichment analyses were performed to understand the biological activities of these subtypes. We also assessed the TIME and developed a prognostic signature and scoring system. Moreover, we analyzed the efficacy of immune checkpoint inhibitors. Then we conducted real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) experiments to detect the expression level of prolyl 4-hydroxylase subunit beta (P4HB) in BLCA cell lines. Transfection of small interference ribonucleic acid (siRNA) was performed in 5637 and EJ cells to knock down P4HB, and the impact of P4HB on cellular functions was evaluated through wound-healing and transwell assays. Finally, siRNA transfection of P4HB was performed in the cisplatin-resistant T24 cell to assess its impact on the sensitivity of BLCA to platinum-based chemotherapy drugs.ResultsIn a cohort of 594 BLCA samples (TCGA-BLCA, n=406; GSE13507, n=188), 846 PRR-associated genes were identified by intersecting BLCA expression data from TCGA and GEO databases with the PRR genes from the HGSOC-Platinum database. Univariate Cox regression analysis revealed 264 PRR genes linked to BLCA prognosis. We identified three molecular subtypes (Cluster A-C) and the PRR scoring system based on PRR genes. Cluster C exhibited a better prognosis and lower immune cell infiltration compared to the other Clusters A and B. The high PRR score group was significantly associated with an immunosuppressive tumor microenvironment, poor clinical-pathological features, and a poor prognosis. Furthermore, the high PRR group showed higher expression of immune checkpoint molecules and a poorer response to immune checkpoint inhibitors than the low PRR group. The key PRR gene P4HB was highly expressed in BLCA cell lines, and cellular functional experiments in vitro indicate that P4HB may be an important factor influencing BLCA migration and invasion.ConclusionOur study demonstrates that the PRR signatures are significantly associated with clinical-pathological features, the TIME, and prognostic features. The key PRR gene, P4HB, s a biomarker for the individualized treatment of BLCA patients.
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spelling doaj.art-fbb6786823e44c899ab322e0ffadd5032023-09-19T07:25:42ZengFrontiers Media S.A.Frontiers in Immunology1664-32242023-09-011410.3389/fimmu.2023.12535861253586Deciphering the immunological and prognostic features of bladder cancer through platinum-resistance-related genes analysis and identifying potential therapeutic target P4HBSitu Xiong0Situ Xiong1Sheng Li2Sheng Li3Jin Zeng4Jin Zeng5Jianqiang Nie6Jianqiang Nie7Taobin Liu8Taobin Liu9Xiaoqiang Liu10Luyao Chen11Bin Fu12Bin Fu13Jun Deng14Songhui Xu15Songhui Xu16Department of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaJiangxi Institute of Urology, Nanchang, ChinaDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaJiangxi Institute of Urology, Nanchang, ChinaDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaJiangxi Institute of Urology, Nanchang, ChinaDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaJiangxi Institute of Urology, Nanchang, ChinaDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaJiangxi Institute of Urology, Nanchang, ChinaDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaJiangxi Institute of Urology, Nanchang, ChinaDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaDepartment of Urology, The First Affiliated Hospital of Nanchang University, Nanchang, ChinaJiangxi Institute of Urology, Nanchang, ChinaObjectivesTo identify the molecular subtypes and develop a scoring system for the tumor immune microenvironment (TIME) and prognostic features of bladder cancer (BLCA) based on the platinum-resistance-related (PRR) genes analysis while identifying P4HB as a potential therapeutic target.MethodsIn this study, we analyzed gene expression data and clinical information of 594 BLCA samples. We used unsupervised clustering to identify molecular subtypes based on the expression levels of PRR genes. Functional and pathway enrichment analyses were performed to understand the biological activities of these subtypes. We also assessed the TIME and developed a prognostic signature and scoring system. Moreover, we analyzed the efficacy of immune checkpoint inhibitors. Then we conducted real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) experiments to detect the expression level of prolyl 4-hydroxylase subunit beta (P4HB) in BLCA cell lines. Transfection of small interference ribonucleic acid (siRNA) was performed in 5637 and EJ cells to knock down P4HB, and the impact of P4HB on cellular functions was evaluated through wound-healing and transwell assays. Finally, siRNA transfection of P4HB was performed in the cisplatin-resistant T24 cell to assess its impact on the sensitivity of BLCA to platinum-based chemotherapy drugs.ResultsIn a cohort of 594 BLCA samples (TCGA-BLCA, n=406; GSE13507, n=188), 846 PRR-associated genes were identified by intersecting BLCA expression data from TCGA and GEO databases with the PRR genes from the HGSOC-Platinum database. Univariate Cox regression analysis revealed 264 PRR genes linked to BLCA prognosis. We identified three molecular subtypes (Cluster A-C) and the PRR scoring system based on PRR genes. Cluster C exhibited a better prognosis and lower immune cell infiltration compared to the other Clusters A and B. The high PRR score group was significantly associated with an immunosuppressive tumor microenvironment, poor clinical-pathological features, and a poor prognosis. Furthermore, the high PRR group showed higher expression of immune checkpoint molecules and a poorer response to immune checkpoint inhibitors than the low PRR group. The key PRR gene P4HB was highly expressed in BLCA cell lines, and cellular functional experiments in vitro indicate that P4HB may be an important factor influencing BLCA migration and invasion.ConclusionOur study demonstrates that the PRR signatures are significantly associated with clinical-pathological features, the TIME, and prognostic features. The key PRR gene, P4HB, s a biomarker for the individualized treatment of BLCA patients.https://www.frontiersin.org/articles/10.3389/fimmu.2023.1253586/fullplatinum resistancebladder cancermolecular subtypesimmune microenvironmentimmunotherapyprognosis
spellingShingle Situ Xiong
Situ Xiong
Sheng Li
Sheng Li
Jin Zeng
Jin Zeng
Jianqiang Nie
Jianqiang Nie
Taobin Liu
Taobin Liu
Xiaoqiang Liu
Luyao Chen
Bin Fu
Bin Fu
Jun Deng
Songhui Xu
Songhui Xu
Deciphering the immunological and prognostic features of bladder cancer through platinum-resistance-related genes analysis and identifying potential therapeutic target P4HB
Frontiers in Immunology
platinum resistance
bladder cancer
molecular subtypes
immune microenvironment
immunotherapy
prognosis
title Deciphering the immunological and prognostic features of bladder cancer through platinum-resistance-related genes analysis and identifying potential therapeutic target P4HB
title_full Deciphering the immunological and prognostic features of bladder cancer through platinum-resistance-related genes analysis and identifying potential therapeutic target P4HB
title_fullStr Deciphering the immunological and prognostic features of bladder cancer through platinum-resistance-related genes analysis and identifying potential therapeutic target P4HB
title_full_unstemmed Deciphering the immunological and prognostic features of bladder cancer through platinum-resistance-related genes analysis and identifying potential therapeutic target P4HB
title_short Deciphering the immunological and prognostic features of bladder cancer through platinum-resistance-related genes analysis and identifying potential therapeutic target P4HB
title_sort deciphering the immunological and prognostic features of bladder cancer through platinum resistance related genes analysis and identifying potential therapeutic target p4hb
topic platinum resistance
bladder cancer
molecular subtypes
immune microenvironment
immunotherapy
prognosis
url https://www.frontiersin.org/articles/10.3389/fimmu.2023.1253586/full
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