Apoptosis related genes mediated molecular subtypes depict the hallmarks of the tumor microenvironment and guide immunotherapy in bladder cancer
Abstract Apoptosis has been discovered as a mechanism of cell death. The purpose of this study is to identify the diagnostic signature factors related to bladder cancer (BLCA) through apoptosis related genes (ARGs). Clinicopathological parameters and transcriptomics data of 1,440 BLCA patients were...
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BMC
2023-04-01
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Series: | BMC Medical Genomics |
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Online Access: | https://doi.org/10.1186/s12920-023-01525-8 |
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author | Liquan Zhou Guanglong Xu Fu Huang Wenyuan Chen Jiange Zhang Yong Tang |
author_facet | Liquan Zhou Guanglong Xu Fu Huang Wenyuan Chen Jiange Zhang Yong Tang |
author_sort | Liquan Zhou |
collection | DOAJ |
description | Abstract Apoptosis has been discovered as a mechanism of cell death. The purpose of this study is to identify the diagnostic signature factors related to bladder cancer (BLCA) through apoptosis related genes (ARGs). Clinicopathological parameters and transcriptomics data of 1,440 BLCA patients were obtained from 7 datasets (GSE13507, GSE31684, GSE32548, GSE32894, GSE48075, TCGA-BLCA, and IMvigor210). We first identified prognosis-related ARGs in BLCA and used them to construct two ARGs molecular subtypes by using consensus clustering algorithm. By using principal component analysis algorithms, a ARGscore was constructed to quantify the index of individualized patient. High ARGscore correlated with progressive malignancy and poor outcomes in BLCA patients. High ARGscore was associated with higher immune cell, higher estimate scores, higher stromal scores, higher immune scores, higher immune checkpoint, and lower tumor purity, which was consistent with the “immunity tidal model theory”. Preclinically, BLCA immunotherapy cohorts confirmed patients with low ARGscore demonstrated significant therapeutic advantages and clinical benefits. These findings contribute to our understanding of ARGs and immunotherapy in BLCA. The ARGscore is a potentially useful tool to predict the prognosis and immunotherapy in BLCA. |
first_indexed | 2024-04-09T15:05:09Z |
format | Article |
id | doaj.art-69302f4e5a26410a9e0b16f5d9ee69f1 |
institution | Directory Open Access Journal |
issn | 1755-8794 |
language | English |
last_indexed | 2024-04-09T15:05:09Z |
publishDate | 2023-04-01 |
publisher | BMC |
record_format | Article |
series | BMC Medical Genomics |
spelling | doaj.art-69302f4e5a26410a9e0b16f5d9ee69f12023-04-30T11:31:05ZengBMCBMC Medical Genomics1755-87942023-04-0116111410.1186/s12920-023-01525-8Apoptosis related genes mediated molecular subtypes depict the hallmarks of the tumor microenvironment and guide immunotherapy in bladder cancerLiquan Zhou0Guanglong Xu1Fu Huang2Wenyuan Chen3Jiange Zhang4Yong Tang5Department of Urology, The Second Affiliated Hospital, Guangxi Medical UniversityDepartment of Urology, The Second Affiliated Hospital, Guangxi Medical UniversityDepartment of Urology, The Second Affiliated Hospital, Guangxi Medical UniversityDepartment of Urology, The Second Affiliated Hospital, Guangxi Medical UniversityDepartment of Urology, The Second Affiliated Hospital, Guangxi Medical UniversityDepartment of Urology, Wuming Hospital, Guangxi Medical UniversityAbstract Apoptosis has been discovered as a mechanism of cell death. The purpose of this study is to identify the diagnostic signature factors related to bladder cancer (BLCA) through apoptosis related genes (ARGs). Clinicopathological parameters and transcriptomics data of 1,440 BLCA patients were obtained from 7 datasets (GSE13507, GSE31684, GSE32548, GSE32894, GSE48075, TCGA-BLCA, and IMvigor210). We first identified prognosis-related ARGs in BLCA and used them to construct two ARGs molecular subtypes by using consensus clustering algorithm. By using principal component analysis algorithms, a ARGscore was constructed to quantify the index of individualized patient. High ARGscore correlated with progressive malignancy and poor outcomes in BLCA patients. High ARGscore was associated with higher immune cell, higher estimate scores, higher stromal scores, higher immune scores, higher immune checkpoint, and lower tumor purity, which was consistent with the “immunity tidal model theory”. Preclinically, BLCA immunotherapy cohorts confirmed patients with low ARGscore demonstrated significant therapeutic advantages and clinical benefits. These findings contribute to our understanding of ARGs and immunotherapy in BLCA. The ARGscore is a potentially useful tool to predict the prognosis and immunotherapy in BLCA.https://doi.org/10.1186/s12920-023-01525-8Bladder cancerApoptosisTumor microenvironmentImmunotherapyScoring system |
spellingShingle | Liquan Zhou Guanglong Xu Fu Huang Wenyuan Chen Jiange Zhang Yong Tang Apoptosis related genes mediated molecular subtypes depict the hallmarks of the tumor microenvironment and guide immunotherapy in bladder cancer BMC Medical Genomics Bladder cancer Apoptosis Tumor microenvironment Immunotherapy Scoring system |
title | Apoptosis related genes mediated molecular subtypes depict the hallmarks of the tumor microenvironment and guide immunotherapy in bladder cancer |
title_full | Apoptosis related genes mediated molecular subtypes depict the hallmarks of the tumor microenvironment and guide immunotherapy in bladder cancer |
title_fullStr | Apoptosis related genes mediated molecular subtypes depict the hallmarks of the tumor microenvironment and guide immunotherapy in bladder cancer |
title_full_unstemmed | Apoptosis related genes mediated molecular subtypes depict the hallmarks of the tumor microenvironment and guide immunotherapy in bladder cancer |
title_short | Apoptosis related genes mediated molecular subtypes depict the hallmarks of the tumor microenvironment and guide immunotherapy in bladder cancer |
title_sort | apoptosis related genes mediated molecular subtypes depict the hallmarks of the tumor microenvironment and guide immunotherapy in bladder cancer |
topic | Bladder cancer Apoptosis Tumor microenvironment Immunotherapy Scoring system |
url | https://doi.org/10.1186/s12920-023-01525-8 |
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