Clinical and Biological Significance of a Necroptosis-Related Gene Signature in Glioma

BackgroundAs a novel form of programmed cell death, necroptosis is related to multiple tumor types and their immune microenvironments. However, its association with glioma has not been clarified.MethodsNecroptosis genes were obtained from the Gene Set Enrichment Analysis (GSEA) database. RNA-seq and...

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Main Authors: Zunjie Zhou, Jing Xu, Ning Huang, Jun Tang, Ping Ma, Yuan Cheng
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Oncology
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2022.855434/full
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author Zunjie Zhou
Jing Xu
Ning Huang
Jun Tang
Ping Ma
Yuan Cheng
author_facet Zunjie Zhou
Jing Xu
Ning Huang
Jun Tang
Ping Ma
Yuan Cheng
author_sort Zunjie Zhou
collection DOAJ
description BackgroundAs a novel form of programmed cell death, necroptosis is related to multiple tumor types and their immune microenvironments. However, its association with glioma has not been clarified.MethodsNecroptosis genes were obtained from the Gene Set Enrichment Analysis (GSEA) database. RNA-seq and clinical data were downloaded from TCGA and CGGA databases. A necroptosis gene signature was constructed based on univariate and multivariate Cox regression analyses. Next, survival analysis, independent prognostic analysis, and nomogram were performed to assess and verify the model. Subsequently, we analyzed the tumor microenvironment (TME) and immune cell infiltration via ESTIMATE and CIBERSORTx algorithms. Finally, the response of glioma patients in the TCGA database to immune checkpoint inhibitor (ICI) therapy was predicted using the Tumor Immune Dysfunction and Exclusion (TIDE) database.ResultsOf the seven prognostic necroptosis genes, RIPK1, RIPK3, FAS, and FADD were used to construct the risk signature that accurately predicts the prognosis of glioma patients. Functional enrichment results suggest that necroptosis is correlated with immune response and angiogenesis. Immune analysis revealed that necroptosis can boost inflammatory activity and attract immunosuppressive cell infiltration to form a chronic inflammatory microenvironment, promoting glioma growth. Additionally, glioma patients in the TCGA cohort with high necroptosis gene expression exhibited a better response to ICI therapy predicted by the TIDE algorithm.ConclusionWe constructed a necroptosis gene signature, which has the potential for use as a biomarker for predicting glioma patients’ prognosis, revealing the association between necroptosis and the immune microenvironment, and serving as a reference for immune therapy.
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spelling doaj.art-b71caed71a3848a98b895d705160f8fa2022-12-22T02:26:51ZengFrontiers Media S.A.Frontiers in Oncology2234-943X2022-06-011210.3389/fonc.2022.855434855434Clinical and Biological Significance of a Necroptosis-Related Gene Signature in GliomaZunjie ZhouJing XuNing HuangJun TangPing MaYuan ChengBackgroundAs a novel form of programmed cell death, necroptosis is related to multiple tumor types and their immune microenvironments. However, its association with glioma has not been clarified.MethodsNecroptosis genes were obtained from the Gene Set Enrichment Analysis (GSEA) database. RNA-seq and clinical data were downloaded from TCGA and CGGA databases. A necroptosis gene signature was constructed based on univariate and multivariate Cox regression analyses. Next, survival analysis, independent prognostic analysis, and nomogram were performed to assess and verify the model. Subsequently, we analyzed the tumor microenvironment (TME) and immune cell infiltration via ESTIMATE and CIBERSORTx algorithms. Finally, the response of glioma patients in the TCGA database to immune checkpoint inhibitor (ICI) therapy was predicted using the Tumor Immune Dysfunction and Exclusion (TIDE) database.ResultsOf the seven prognostic necroptosis genes, RIPK1, RIPK3, FAS, and FADD were used to construct the risk signature that accurately predicts the prognosis of glioma patients. Functional enrichment results suggest that necroptosis is correlated with immune response and angiogenesis. Immune analysis revealed that necroptosis can boost inflammatory activity and attract immunosuppressive cell infiltration to form a chronic inflammatory microenvironment, promoting glioma growth. Additionally, glioma patients in the TCGA cohort with high necroptosis gene expression exhibited a better response to ICI therapy predicted by the TIDE algorithm.ConclusionWe constructed a necroptosis gene signature, which has the potential for use as a biomarker for predicting glioma patients’ prognosis, revealing the association between necroptosis and the immune microenvironment, and serving as a reference for immune therapy.https://www.frontiersin.org/articles/10.3389/fonc.2022.855434/fullnecroptosisprognosisgliomastumor microenvironmentsignatureimmune infiltration
spellingShingle Zunjie Zhou
Jing Xu
Ning Huang
Jun Tang
Ping Ma
Yuan Cheng
Clinical and Biological Significance of a Necroptosis-Related Gene Signature in Glioma
Frontiers in Oncology
necroptosis
prognosis
gliomas
tumor microenvironment
signature
immune infiltration
title Clinical and Biological Significance of a Necroptosis-Related Gene Signature in Glioma
title_full Clinical and Biological Significance of a Necroptosis-Related Gene Signature in Glioma
title_fullStr Clinical and Biological Significance of a Necroptosis-Related Gene Signature in Glioma
title_full_unstemmed Clinical and Biological Significance of a Necroptosis-Related Gene Signature in Glioma
title_short Clinical and Biological Significance of a Necroptosis-Related Gene Signature in Glioma
title_sort clinical and biological significance of a necroptosis related gene signature in glioma
topic necroptosis
prognosis
gliomas
tumor microenvironment
signature
immune infiltration
url https://www.frontiersin.org/articles/10.3389/fonc.2022.855434/full
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