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Identification of a novel pyroptosis-related gene signature correlated with the prognosis of diffuse glioma patients

BACKGROUND: Diffuse glioma is the most common primary tumor of the central nervous system and has a poor prognosis. Recently, a new type of programmed cell death (PCD), pyroptosis, has been found to be widely involved in the process of tumor diseases. However, the expression of pyroptosis-related ge...

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Autores principales: Zhang, Yize, Xi, Feiyang, Yu, Qing, Lou, Weiming, Zeng, Ziqiang, Su, Ning, Gao, Jianying, Duan, Sainan, Deng, Ying, Guo, Sixuan, Lai, Shuhui, Tang, Xiaoli, Zhang, Jicai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756210/
https://www.ncbi.nlm.nih.gov/pubmed/35071460
http://dx.doi.org/10.21037/atm-21-6011
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author Zhang, Yize
Xi, Feiyang
Yu, Qing
Lou, Weiming
Zeng, Ziqiang
Su, Ning
Gao, Jianying
Duan, Sainan
Deng, Ying
Guo, Sixuan
Lai, Shuhui
Tang, Xiaoli
Zhang, Jicai
author_facet Zhang, Yize
Xi, Feiyang
Yu, Qing
Lou, Weiming
Zeng, Ziqiang
Su, Ning
Gao, Jianying
Duan, Sainan
Deng, Ying
Guo, Sixuan
Lai, Shuhui
Tang, Xiaoli
Zhang, Jicai
author_sort Zhang, Yize
collection PubMed
description BACKGROUND: Diffuse glioma is the most common primary tumor of the central nervous system and has a poor prognosis. Recently, a new type of programmed cell death (PCD), pyroptosis, has been found to be widely involved in the process of tumor diseases. However, the expression of pyroptosis-related genes (PRGs) in diffuse gliomas and their relationship with prognosis have rarely been evaluated. METHODS: In this study, we obtained RNA sequencing and clinical data from the Cancer Genome Atlas (TCGA) database and the Chinese Glioma Genome Atlas (CGGA) of diffuse glioma patients. Simultaneously, differentially expressed PRGs between TCGA-Glioma tumor samples and the normal brain samples from the Genome Tissue Expression (GTEx) were investigated. Besides, univariate and multivariate Cox regression analysis were performed to identify and construct the prognostic gene signature. Time-dependent receiver operating characteristic (ROC), Kaplan-Meier curve and principal component analysis (PCA) was undertaken to assess the prognostic capacity of the signature. Gene set enrichment analyses (GSEA) and single sample GSEA (ssGSEA) were used to further understand the molecular mechanisms and the difference of immune microenvironment. External validation of two separate cohorts from the CGGA database was then performed. RESULTS: Caspase 3 (CASP3) and interleukin-18 (IL18) were identified as potential prognostic biomarkers. A novel prognostic model was constructed to predict diffuse glioma patients’ overall survival (OS) time. Patients in high-risk subgroup had shorter survival than those with high-risk with P<0.0001. GSEA and ssGSEA showed the activation of immune-related pathways and the extensive infiltration of immune cells [such as cytotoxic T cells, dendritic cells (DC), natural killer T cell (NKT), induced regulatory T cells (iTreg), naturally occurring regulatory T cells (nTreg)] in high-risk subgroup. CONCLUSIONS: A novel two-PRGs prognostic signature based on gene expression was identified, which could predict diffuse glioma patients’ OS time. Pyroptosis may be involved in the establishment of immune microenvironment in diffuse glioma.
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spelling pubmed-87562102022-01-21 Identification of a novel pyroptosis-related gene signature correlated with the prognosis of diffuse glioma patients Zhang, Yize Xi, Feiyang Yu, Qing Lou, Weiming Zeng, Ziqiang Su, Ning Gao, Jianying Duan, Sainan Deng, Ying Guo, Sixuan Lai, Shuhui Tang, Xiaoli Zhang, Jicai Ann Transl Med Original Article BACKGROUND: Diffuse glioma is the most common primary tumor of the central nervous system and has a poor prognosis. Recently, a new type of programmed cell death (PCD), pyroptosis, has been found to be widely involved in the process of tumor diseases. However, the expression of pyroptosis-related genes (PRGs) in diffuse gliomas and their relationship with prognosis have rarely been evaluated. METHODS: In this study, we obtained RNA sequencing and clinical data from the Cancer Genome Atlas (TCGA) database and the Chinese Glioma Genome Atlas (CGGA) of diffuse glioma patients. Simultaneously, differentially expressed PRGs between TCGA-Glioma tumor samples and the normal brain samples from the Genome Tissue Expression (GTEx) were investigated. Besides, univariate and multivariate Cox regression analysis were performed to identify and construct the prognostic gene signature. Time-dependent receiver operating characteristic (ROC), Kaplan-Meier curve and principal component analysis (PCA) was undertaken to assess the prognostic capacity of the signature. Gene set enrichment analyses (GSEA) and single sample GSEA (ssGSEA) were used to further understand the molecular mechanisms and the difference of immune microenvironment. External validation of two separate cohorts from the CGGA database was then performed. RESULTS: Caspase 3 (CASP3) and interleukin-18 (IL18) were identified as potential prognostic biomarkers. A novel prognostic model was constructed to predict diffuse glioma patients’ overall survival (OS) time. Patients in high-risk subgroup had shorter survival than those with high-risk with P<0.0001. GSEA and ssGSEA showed the activation of immune-related pathways and the extensive infiltration of immune cells [such as cytotoxic T cells, dendritic cells (DC), natural killer T cell (NKT), induced regulatory T cells (iTreg), naturally occurring regulatory T cells (nTreg)] in high-risk subgroup. CONCLUSIONS: A novel two-PRGs prognostic signature based on gene expression was identified, which could predict diffuse glioma patients’ OS time. Pyroptosis may be involved in the establishment of immune microenvironment in diffuse glioma. AME Publishing Company 2021-12 /pmc/articles/PMC8756210/ /pubmed/35071460 http://dx.doi.org/10.21037/atm-21-6011 Text en 2021 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Zhang, Yize
Xi, Feiyang
Yu, Qing
Lou, Weiming
Zeng, Ziqiang
Su, Ning
Gao, Jianying
Duan, Sainan
Deng, Ying
Guo, Sixuan
Lai, Shuhui
Tang, Xiaoli
Zhang, Jicai
Identification of a novel pyroptosis-related gene signature correlated with the prognosis of diffuse glioma patients
title Identification of a novel pyroptosis-related gene signature correlated with the prognosis of diffuse glioma patients
title_full Identification of a novel pyroptosis-related gene signature correlated with the prognosis of diffuse glioma patients
title_fullStr Identification of a novel pyroptosis-related gene signature correlated with the prognosis of diffuse glioma patients
title_full_unstemmed Identification of a novel pyroptosis-related gene signature correlated with the prognosis of diffuse glioma patients
title_short Identification of a novel pyroptosis-related gene signature correlated with the prognosis of diffuse glioma patients
title_sort identification of a novel pyroptosis-related gene signature correlated with the prognosis of diffuse glioma patients
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8756210/
https://www.ncbi.nlm.nih.gov/pubmed/35071460
http://dx.doi.org/10.21037/atm-21-6011
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