A VAT1-related gene signature predicts radioresistance in gliomas

Background: Radiotherapy is a vital postoperative adjuvant treatment for gliomas. However, radioresistance seriously affect the treatment efficacy. Excavating the feature of radioresisrtance in gliomas comprehensively are necessary. Methods: In the training set, 191 patients from the Chinese Glioma...

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Main Authors: Xia Shan, Zhiyan Sun, Ruoyu Huang, Kuanyu Wang, Xiaoguang Qiu, Pei Yang
Format: Article
Language:English
Published: Elsevier 2025-02-01
Series:Heliyon
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Online Access:http://www.sciencedirect.com/science/article/pii/S2405844025009636
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author Xia Shan
Zhiyan Sun
Ruoyu Huang
Kuanyu Wang
Xiaoguang Qiu
Pei Yang
author_facet Xia Shan
Zhiyan Sun
Ruoyu Huang
Kuanyu Wang
Xiaoguang Qiu
Pei Yang
author_sort Xia Shan
collection DOAJ
description Background: Radiotherapy is a vital postoperative adjuvant treatment for gliomas. However, radioresistance seriously affect the treatment efficacy. Excavating the feature of radioresisrtance in gliomas comprehensively are necessary. Methods: In the training set, 191 patients from the Chinese Glioma Genome Atlas (CGGA) were included, of which all patients had received postoperative radiotherapy. The epidemiological data and RNA sequencing data of 430 patients with whole grade glioma were obtained from the Cancer Genome Atlas (TCGA), which was used for validation. Results: Based on the Lasso regression analysis, five-gene signature was established which was associated with VAT1-related radioresistance in gliomas. High-risk patients showed higher proportion of elders, high-grade glioma, oligodendroglial histology and IDH wild type. The risk score was identified as an independent prognostic factor in the CGGA dataset, and the high-risk score impaired the overall survival time. The biological processes of positively expressed genes of risk score were functionally involved in inflammatory and immune response. And the activation of signaling pathways in high-risk score group also showed close correlation with tumor occurrence, progression and immune microenvironment. What's more, the immune cell infiltration analysis showed that high-risk score indicated decreased CD8+ T cell and the upregulation of the immune checkpoints, which probably promoted the immunosuppressive microenvironment. Conclusion: The five-gene signature can predict the survival of patients with glioma received postoperative radiotherapy efficiently. The immunosuppressive microenvironment, as a feature of glioma, potentially devote to the radioresistance.
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spelling doaj-art-5ca1fdb455494712a7582d5d02770e872025-08-20T02:43:20ZengElsevierHeliyon2405-84402025-02-01114e4258310.1016/j.heliyon.2025.e42583A VAT1-related gene signature predicts radioresistance in gliomasXia Shan0Zhiyan Sun1Ruoyu Huang2Kuanyu Wang3Xiaoguang Qiu4Pei Yang5Department of Radiotherapy, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaDepartment of Molecular Neuropathology, Beijing Neurosurgical Institute, Capital Medical University, Beijing, ChinaDepartment of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaDepartment of Gamma Knife, Beijing Tiantan Hospital, Capital Medical University, Beijing, ChinaDepartment of Radiotherapy, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Corresponding author.Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China; Corresponding author.Background: Radiotherapy is a vital postoperative adjuvant treatment for gliomas. However, radioresistance seriously affect the treatment efficacy. Excavating the feature of radioresisrtance in gliomas comprehensively are necessary. Methods: In the training set, 191 patients from the Chinese Glioma Genome Atlas (CGGA) were included, of which all patients had received postoperative radiotherapy. The epidemiological data and RNA sequencing data of 430 patients with whole grade glioma were obtained from the Cancer Genome Atlas (TCGA), which was used for validation. Results: Based on the Lasso regression analysis, five-gene signature was established which was associated with VAT1-related radioresistance in gliomas. High-risk patients showed higher proportion of elders, high-grade glioma, oligodendroglial histology and IDH wild type. The risk score was identified as an independent prognostic factor in the CGGA dataset, and the high-risk score impaired the overall survival time. The biological processes of positively expressed genes of risk score were functionally involved in inflammatory and immune response. And the activation of signaling pathways in high-risk score group also showed close correlation with tumor occurrence, progression and immune microenvironment. What's more, the immune cell infiltration analysis showed that high-risk score indicated decreased CD8+ T cell and the upregulation of the immune checkpoints, which probably promoted the immunosuppressive microenvironment. Conclusion: The five-gene signature can predict the survival of patients with glioma received postoperative radiotherapy efficiently. The immunosuppressive microenvironment, as a feature of glioma, potentially devote to the radioresistance.http://www.sciencedirect.com/science/article/pii/S2405844025009636GliomaRadioresistanceImmunosuppressionPrognosis
spellingShingle Xia Shan
Zhiyan Sun
Ruoyu Huang
Kuanyu Wang
Xiaoguang Qiu
Pei Yang
A VAT1-related gene signature predicts radioresistance in gliomas
Heliyon
Glioma
Radioresistance
Immunosuppression
Prognosis
title A VAT1-related gene signature predicts radioresistance in gliomas
title_full A VAT1-related gene signature predicts radioresistance in gliomas
title_fullStr A VAT1-related gene signature predicts radioresistance in gliomas
title_full_unstemmed A VAT1-related gene signature predicts radioresistance in gliomas
title_short A VAT1-related gene signature predicts radioresistance in gliomas
title_sort vat1 related gene signature predicts radioresistance in gliomas
topic Glioma
Radioresistance
Immunosuppression
Prognosis
url http://www.sciencedirect.com/science/article/pii/S2405844025009636
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