Cargando…

Identification of disulfidptosis related subtypes, characterization of tumor microenvironment infiltration, and development of DRG prognostic prediction model in RCC, in which MSH3 is a key gene during disulfidptosis

Disulfidptosis is a newly discovered mode of cell death induced by disulfide stress. However, the prognostic value of disulfidptosis-related genes (DRGs) in renal cell carcinoma (RCC) remains to be further elucidated. In this study, consistent cluster analysis was used to classify 571 RCC samples in...

Descripción completa

Detalles Bibliográficos
Autores principales: Xu, Kai, Zhang, Ye, Yan, Zhiwei, Wang, Yuchan, Li, Yanze, Qiu, Qiangmin, Du, Yang, Chen, Zhiyuan, Liu, Xiuheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327482/
https://www.ncbi.nlm.nih.gov/pubmed/37426643
http://dx.doi.org/10.3389/fimmu.2023.1205250
_version_ 1785069636412243968
author Xu, Kai
Zhang, Ye
Yan, Zhiwei
Wang, Yuchan
Li, Yanze
Qiu, Qiangmin
Du, Yang
Chen, Zhiyuan
Liu, Xiuheng
author_facet Xu, Kai
Zhang, Ye
Yan, Zhiwei
Wang, Yuchan
Li, Yanze
Qiu, Qiangmin
Du, Yang
Chen, Zhiyuan
Liu, Xiuheng
author_sort Xu, Kai
collection PubMed
description Disulfidptosis is a newly discovered mode of cell death induced by disulfide stress. However, the prognostic value of disulfidptosis-related genes (DRGs) in renal cell carcinoma (RCC) remains to be further elucidated. In this study, consistent cluster analysis was used to classify 571 RCC samples into three DRG-related subtypes based on changes in DRGs expression. Through univariate regression analysis and LASSO-Cox regression analysis of differentially expressed genes (DEGs) among three subtypes, we constructed and validated a DRG risk score to predict the prognosis of patients with RCC, while also identifying three gene subtypes. Analysis of DRG risk score, clinical characteristics, tumor microenvironment (TME), somatic cell mutations, and immunotherapy sensitivity revealed significant correlations between them. A series of studies have shown that MSH3 can be a potential biomarker of RCC, and its low expression is associated with poor prognosis in patients with RCC. Last but not least, overexpression of MSH3 promotes cell death in two RCC cell lines under glucose starvation conditions, indicating that MSH3 is a key gene in the process of cell disulfidptosis. In summary, we identify potential mechanism of RCC progression through DRGs -related tumor microenvironment remodeling. In addition, this study has successfully established a new disulfidptosis-related genes prediction model and discovered a key gene MSH3. They may be new prognostic biomarkers for RCC patients, provide new insights for the treatment of RCC patients, and may inspire new methods for the diagnosis and treatment of RCC patients.
format Online
Article
Text
id pubmed-10327482
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Frontiers Media S.A.
record_format MEDLINE/PubMed
spelling pubmed-103274822023-07-08 Identification of disulfidptosis related subtypes, characterization of tumor microenvironment infiltration, and development of DRG prognostic prediction model in RCC, in which MSH3 is a key gene during disulfidptosis Xu, Kai Zhang, Ye Yan, Zhiwei Wang, Yuchan Li, Yanze Qiu, Qiangmin Du, Yang Chen, Zhiyuan Liu, Xiuheng Front Immunol Immunology Disulfidptosis is a newly discovered mode of cell death induced by disulfide stress. However, the prognostic value of disulfidptosis-related genes (DRGs) in renal cell carcinoma (RCC) remains to be further elucidated. In this study, consistent cluster analysis was used to classify 571 RCC samples into three DRG-related subtypes based on changes in DRGs expression. Through univariate regression analysis and LASSO-Cox regression analysis of differentially expressed genes (DEGs) among three subtypes, we constructed and validated a DRG risk score to predict the prognosis of patients with RCC, while also identifying three gene subtypes. Analysis of DRG risk score, clinical characteristics, tumor microenvironment (TME), somatic cell mutations, and immunotherapy sensitivity revealed significant correlations between them. A series of studies have shown that MSH3 can be a potential biomarker of RCC, and its low expression is associated with poor prognosis in patients with RCC. Last but not least, overexpression of MSH3 promotes cell death in two RCC cell lines under glucose starvation conditions, indicating that MSH3 is a key gene in the process of cell disulfidptosis. In summary, we identify potential mechanism of RCC progression through DRGs -related tumor microenvironment remodeling. In addition, this study has successfully established a new disulfidptosis-related genes prediction model and discovered a key gene MSH3. They may be new prognostic biomarkers for RCC patients, provide new insights for the treatment of RCC patients, and may inspire new methods for the diagnosis and treatment of RCC patients. Frontiers Media S.A. 2023-06-23 /pmc/articles/PMC10327482/ /pubmed/37426643 http://dx.doi.org/10.3389/fimmu.2023.1205250 Text en Copyright © 2023 Xu, Zhang, Yan, Wang, Li, Qiu, Du, Chen and Liu https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Xu, Kai
Zhang, Ye
Yan, Zhiwei
Wang, Yuchan
Li, Yanze
Qiu, Qiangmin
Du, Yang
Chen, Zhiyuan
Liu, Xiuheng
Identification of disulfidptosis related subtypes, characterization of tumor microenvironment infiltration, and development of DRG prognostic prediction model in RCC, in which MSH3 is a key gene during disulfidptosis
title Identification of disulfidptosis related subtypes, characterization of tumor microenvironment infiltration, and development of DRG prognostic prediction model in RCC, in which MSH3 is a key gene during disulfidptosis
title_full Identification of disulfidptosis related subtypes, characterization of tumor microenvironment infiltration, and development of DRG prognostic prediction model in RCC, in which MSH3 is a key gene during disulfidptosis
title_fullStr Identification of disulfidptosis related subtypes, characterization of tumor microenvironment infiltration, and development of DRG prognostic prediction model in RCC, in which MSH3 is a key gene during disulfidptosis
title_full_unstemmed Identification of disulfidptosis related subtypes, characterization of tumor microenvironment infiltration, and development of DRG prognostic prediction model in RCC, in which MSH3 is a key gene during disulfidptosis
title_short Identification of disulfidptosis related subtypes, characterization of tumor microenvironment infiltration, and development of DRG prognostic prediction model in RCC, in which MSH3 is a key gene during disulfidptosis
title_sort identification of disulfidptosis related subtypes, characterization of tumor microenvironment infiltration, and development of drg prognostic prediction model in rcc, in which msh3 is a key gene during disulfidptosis
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10327482/
https://www.ncbi.nlm.nih.gov/pubmed/37426643
http://dx.doi.org/10.3389/fimmu.2023.1205250
work_keys_str_mv AT xukai identificationofdisulfidptosisrelatedsubtypescharacterizationoftumormicroenvironmentinfiltrationanddevelopmentofdrgprognosticpredictionmodelinrccinwhichmsh3isakeygeneduringdisulfidptosis
AT zhangye identificationofdisulfidptosisrelatedsubtypescharacterizationoftumormicroenvironmentinfiltrationanddevelopmentofdrgprognosticpredictionmodelinrccinwhichmsh3isakeygeneduringdisulfidptosis
AT yanzhiwei identificationofdisulfidptosisrelatedsubtypescharacterizationoftumormicroenvironmentinfiltrationanddevelopmentofdrgprognosticpredictionmodelinrccinwhichmsh3isakeygeneduringdisulfidptosis
AT wangyuchan identificationofdisulfidptosisrelatedsubtypescharacterizationoftumormicroenvironmentinfiltrationanddevelopmentofdrgprognosticpredictionmodelinrccinwhichmsh3isakeygeneduringdisulfidptosis
AT liyanze identificationofdisulfidptosisrelatedsubtypescharacterizationoftumormicroenvironmentinfiltrationanddevelopmentofdrgprognosticpredictionmodelinrccinwhichmsh3isakeygeneduringdisulfidptosis
AT qiuqiangmin identificationofdisulfidptosisrelatedsubtypescharacterizationoftumormicroenvironmentinfiltrationanddevelopmentofdrgprognosticpredictionmodelinrccinwhichmsh3isakeygeneduringdisulfidptosis
AT duyang identificationofdisulfidptosisrelatedsubtypescharacterizationoftumormicroenvironmentinfiltrationanddevelopmentofdrgprognosticpredictionmodelinrccinwhichmsh3isakeygeneduringdisulfidptosis
AT chenzhiyuan identificationofdisulfidptosisrelatedsubtypescharacterizationoftumormicroenvironmentinfiltrationanddevelopmentofdrgprognosticpredictionmodelinrccinwhichmsh3isakeygeneduringdisulfidptosis
AT liuxiuheng identificationofdisulfidptosisrelatedsubtypescharacterizationoftumormicroenvironmentinfiltrationanddevelopmentofdrgprognosticpredictionmodelinrccinwhichmsh3isakeygeneduringdisulfidptosis