Evidence map›Paper›PMID 42047740›Full record

ArticleCNS neuroscience & therapeutics2026

Identification of a Novel Radiosensitivity-Related Signature and Validation of GPX8 in Regulating the Radiosensitivity of Glioma.

Gan Tao, Xiuli Guo, Fajian He, Sisi Yan, Qingwei Wang, Xiaowan Guo, Kehua Hu, Conghua Xie, Qiuji Wu, Yahua Zhong

Abstract read
In one paragraph

Article in CNS neuroscience & therapeutics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Gan TaoDepartment of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behavior, Hubei Provincial Clinical Research Center for Cancer, Zhongnan Hospital of Wuhan University, Wuhan, China.
Xiuli GuoDepartment of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behavior, Hubei Provincial Clinical Research Center for Cancer, Zhongnan Hospital of Wuhan University, Wuhan, China.
Fajian HeDepartment of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behavior, Hubei Provincial Clinical Research Center for Cancer, Zhongnan Hospital of Wuhan University, Wuhan, China.ORCID https://orcid.org/0009-0002-9798-3199
Sisi YanDepartment of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behavior, Hubei Provincial Clinical Research Center for Cancer, Zhongnan Hospital of Wuhan University, Wuhan, China.
Qingwei WangDepartment of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behavior, Hubei Provincial Clinical Research Center for Cancer, Zhongnan Hospital of Wuhan University, Wuhan, China.
Xiaowan GuoDepartment of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behavior, Hubei Provincial Clinical Research Center for Cancer, Zhongnan Hospital of Wuhan University, Wuhan, China.
Kehua HuDepartment of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behavior, Hubei Provincial Clinical Research Center for Cancer, Zhongnan Hospital of Wuhan University, Wuhan, China.
Conghua XieDepartment of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behavior, Hubei Provincial Clinical Research Center for Cancer, Zhongnan Hospital of Wuhan University, Wuhan, China.ORCID https://orcid.org/0000-0001-6623-9864
Qiuji WuDepartment of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behavior, Hubei Provincial Clinical Research Center for Cancer, Zhongnan Hospital of Wuhan University, Wuhan, China.
Yahua ZhongDepartment of Radiation and Medical Oncology, Hubei Key Laboratory of Tumor Biological Behavior, Hubei Provincial Clinical Research Center for Cancer, Zhongnan Hospital of Wuhan University, Wuhan, China.

Funding

Health Commission of Hubei Province Scientific Research Project WJ2023M068Leading Discipline of Oncology Construction Project of Zhongnan Hospital of Wuhan University XKJS202005
6 · The paper itself

Abstract

backgroundRadioresistance is fundamental to glioma progression and poor prognosis. Understanding its underlying mechanisms and identifying novel therapeutic targets through elucidating key molecules in glioma radiosensitivity pathways are therefore of significant clinical importance.

methodsRadiosensitivity-related genes were identified based on radiotherapy response, glioma stemness, and prognosis. A predictive signature was constructed using Lasso-Cox regression and validated via clinicopathological, functional enrichment, immune infiltration, and correlation analyses. GPX8 expression and prognostic significance were assessed by tissue microarray. In vitro functional and radiobiological assays, complemented by in vivo subcutaneous xenograft models using BALB/c nude mice (treated with or without radiotherapy), evaluated the role of GPX8 in regulating malignant progression and radiosensitivity in glioma.

resultsThe radiosensitivity-related signature demonstrated significant potential in predicting glioma malignancy and prognosis, serving as an indicator of the mesenchymal subtype and contributing to the maintenance of an immunosuppressive microenvironment. GPX8 was overexpressed in high-grade gliomas and correlated with recurrence and poor survival. Knockdown of GPX8 suppressed the malignant biological behaviors of glioma cells. Radiation upregulated GPX8 expression while GPX8 knockdown significantly enhanced the cytotoxicity of radiation and induced apoptosis by promoting oxidative stress and DNA damage. Suppression of GPX8 effectively potentiated radiosensitivity in murine xenograft models and reduced intratumoral infiltration of tumor-associated macrophages.

conclusionsThe radiosensitivity-related signature serves as a significant predictor for assessing glioma malignancy and prognosis. GPX8 acts as a key regulator of malignant phenotypes and radiosensitivity in glioma, positioning it as a promising therapeutic target to counteract both malignant progression and radioresistance.

Indexed as

Brain NeoplasmsGliomaRadiation ToleranceAnimalsApoptosisCell Line, TumorFemaleGene Expression Regulation, NeoplasticHumansMaleMiceMice, Inbred BALB CMice, NudeapoptosisDNA damagegliomaGPX8radiosensitivity

Identifiers

PMID42047740
PMCPMC13123455

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.