Cargando…

The G protein-coupled receptor-related gene signatures for predicting prognosis and immunotherapy response in bladder urothelial carcinoma

Bladder urothelial carcinoma (BLCA) is the most common malignant tumor of the urinary tract with a high lethality rate, and its immunotherapy resistance and tumor recurrence have become a major challenge in its clinical treatment. G Protein-Coupled Receptors (GPRs) are the largest family of receptor...

Descripción completa

Detalles Bibliográficos
Autores principales: Wan, Zhengqiang, Wang, Yinglei, Li, Cheng, Zheng, Dongbing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: De Gruyter 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426760/
https://www.ncbi.nlm.nih.gov/pubmed/37588995
http://dx.doi.org/10.1515/biol-2022-0682
_version_ 1785090127730573312
author Wan, Zhengqiang
Wang, Yinglei
Li, Cheng
Zheng, Dongbing
author_facet Wan, Zhengqiang
Wang, Yinglei
Li, Cheng
Zheng, Dongbing
author_sort Wan, Zhengqiang
collection PubMed
description Bladder urothelial carcinoma (BLCA) is the most common malignant tumor of the urinary tract with a high lethality rate, and its immunotherapy resistance and tumor recurrence have become a major challenge in its clinical treatment. G Protein-Coupled Receptors (GPRs) are the largest family of receptors on the cell membrane surface, involved in multiple signaling pathways, and are excellent targets for oncology drug action. The transcriptome profile, single cell transcriptome profile, and clinical data of BLCA were extracted and integrated from TCGA and GEO databases, respectively. The GPR-related genes were obtained from GSEA-MSigDB database. The GPR-related gene signatures of 15 genes were constructed by using the methods of least absolute shrinkage and selection operator regression, multifactor Cox model. At the same time, tumor microenvironment (TME)-score signatures were constructed based on the immune microenvironment of BLCA, and GPR-TME-score signature was further constructed. The stability of this model was verified by using the external dataset GSE160693. We constructed risk groups by combining BLCA patient prognostic information, and with the help of BLCA scRNA transcriptome profiling, we explored differences in prognosis, immune scores, cell–cell interactions, tumor mutational burden, immune checkpoints, and response to immunotherapy in each risk group. We found that the GPR-TME-score signature was an independent prognostic factor for BLCA patients. the TME-score was a protective factor for the prognosis of BLCA patients. Among BLCA patients, GPR-high + TME-low risk group had the worst prognosis, while GPR-high + TME-high risk group had the best prognosis, and the latter had better immune score and immunotherapy response. The above differences in immune response among the subgroups may be related to the higher immune cell infiltration in the GPR-high + TME-high group. GPR-related gene signatures and TME are closely related to BLCA prognosis and immunotherapy, and GPR-related gene signature can be a useful tool to assess BLCA prognosis and immunotherapy response.
format Online
Article
Text
id pubmed-10426760
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher De Gruyter
record_format MEDLINE/PubMed
spelling pubmed-104267602023-08-16 The G protein-coupled receptor-related gene signatures for predicting prognosis and immunotherapy response in bladder urothelial carcinoma Wan, Zhengqiang Wang, Yinglei Li, Cheng Zheng, Dongbing Open Life Sci Research Article Bladder urothelial carcinoma (BLCA) is the most common malignant tumor of the urinary tract with a high lethality rate, and its immunotherapy resistance and tumor recurrence have become a major challenge in its clinical treatment. G Protein-Coupled Receptors (GPRs) are the largest family of receptors on the cell membrane surface, involved in multiple signaling pathways, and are excellent targets for oncology drug action. The transcriptome profile, single cell transcriptome profile, and clinical data of BLCA were extracted and integrated from TCGA and GEO databases, respectively. The GPR-related genes were obtained from GSEA-MSigDB database. The GPR-related gene signatures of 15 genes were constructed by using the methods of least absolute shrinkage and selection operator regression, multifactor Cox model. At the same time, tumor microenvironment (TME)-score signatures were constructed based on the immune microenvironment of BLCA, and GPR-TME-score signature was further constructed. The stability of this model was verified by using the external dataset GSE160693. We constructed risk groups by combining BLCA patient prognostic information, and with the help of BLCA scRNA transcriptome profiling, we explored differences in prognosis, immune scores, cell–cell interactions, tumor mutational burden, immune checkpoints, and response to immunotherapy in each risk group. We found that the GPR-TME-score signature was an independent prognostic factor for BLCA patients. the TME-score was a protective factor for the prognosis of BLCA patients. Among BLCA patients, GPR-high + TME-low risk group had the worst prognosis, while GPR-high + TME-high risk group had the best prognosis, and the latter had better immune score and immunotherapy response. The above differences in immune response among the subgroups may be related to the higher immune cell infiltration in the GPR-high + TME-high group. GPR-related gene signatures and TME are closely related to BLCA prognosis and immunotherapy, and GPR-related gene signature can be a useful tool to assess BLCA prognosis and immunotherapy response. De Gruyter 2023-08-10 /pmc/articles/PMC10426760/ /pubmed/37588995 http://dx.doi.org/10.1515/biol-2022-0682 Text en © 2023 the author(s), published by De Gruyter https://creativecommons.org/licenses/by/4.0/This work is licensed under the Creative Commons Attribution 4.0 International License.
spellingShingle Research Article
Wan, Zhengqiang
Wang, Yinglei
Li, Cheng
Zheng, Dongbing
The G protein-coupled receptor-related gene signatures for predicting prognosis and immunotherapy response in bladder urothelial carcinoma
title The G protein-coupled receptor-related gene signatures for predicting prognosis and immunotherapy response in bladder urothelial carcinoma
title_full The G protein-coupled receptor-related gene signatures for predicting prognosis and immunotherapy response in bladder urothelial carcinoma
title_fullStr The G protein-coupled receptor-related gene signatures for predicting prognosis and immunotherapy response in bladder urothelial carcinoma
title_full_unstemmed The G protein-coupled receptor-related gene signatures for predicting prognosis and immunotherapy response in bladder urothelial carcinoma
title_short The G protein-coupled receptor-related gene signatures for predicting prognosis and immunotherapy response in bladder urothelial carcinoma
title_sort g protein-coupled receptor-related gene signatures for predicting prognosis and immunotherapy response in bladder urothelial carcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10426760/
https://www.ncbi.nlm.nih.gov/pubmed/37588995
http://dx.doi.org/10.1515/biol-2022-0682
work_keys_str_mv AT wanzhengqiang thegproteincoupledreceptorrelatedgenesignaturesforpredictingprognosisandimmunotherapyresponseinbladderurothelialcarcinoma
AT wangyinglei thegproteincoupledreceptorrelatedgenesignaturesforpredictingprognosisandimmunotherapyresponseinbladderurothelialcarcinoma
AT licheng thegproteincoupledreceptorrelatedgenesignaturesforpredictingprognosisandimmunotherapyresponseinbladderurothelialcarcinoma
AT zhengdongbing thegproteincoupledreceptorrelatedgenesignaturesforpredictingprognosisandimmunotherapyresponseinbladderurothelialcarcinoma
AT wanzhengqiang gproteincoupledreceptorrelatedgenesignaturesforpredictingprognosisandimmunotherapyresponseinbladderurothelialcarcinoma
AT wangyinglei gproteincoupledreceptorrelatedgenesignaturesforpredictingprognosisandimmunotherapyresponseinbladderurothelialcarcinoma
AT licheng gproteincoupledreceptorrelatedgenesignaturesforpredictingprognosisandimmunotherapyresponseinbladderurothelialcarcinoma
AT zhengdongbing gproteincoupledreceptorrelatedgenesignaturesforpredictingprognosisandimmunotherapyresponseinbladderurothelialcarcinoma