Evidence map›Paper›PMID 40651996›Full record

ArticleScientific reports2025

Identification of hub six interferon alpha response genes and immune cell infiltration characteristics in low-grade glioma.

Xue Zhang, Shuo Song, Defen Zhou, Hanwei Cui, Jiangan Xie

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Xue Zhang *School of Life Health Information Science and Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065, P. R. China.
Shuo Song *Central Laboratory, Shenzhen Samii Medical Center, Shenzhen, 518118, Guangdong, P.R. China.
Defen ZhouCentral Laboratory, Shenzhen Samii Medical Center, Shenzhen, 518118, Guangdong, P.R. China.
Hanwei CuiCentral Laboratory, Shenzhen Samii Medical Center, Shenzhen, 518118, Guangdong, P.R. China. cuihanwei@ssmc-sz.com.
Jiangan XieSchool of Life Health Information Science and Engineering, Chongqing University of Posts and Telecommunications, Chongqing, 400065, P. R. China. xjahardy@hotmail.com.

Funding

Medical Science and Technology Research Fund of Guangdong Province B2024096Natural Science Foundation of Guangdong Province 2023A1515012959Shenzhen High-tech Zone Development Special Plan Pingshan District Innovation Platform Construction Project 29853MKCJ202300208STI 2030-Major Projects under Grant 2022ZD0211400
6 · The paper itself

Abstract

Low-grade glioma(LGG) is a prevalent primary brain tumor, and type I interferons(IFN-Is) can exert a multifaceted influence on the regulation of the tumor microenvironment during its initiation and progression. To investigate the role of IFN-Is in the progression of LGG, we screened public databases for features based on IFN-alpha(IFN-α) response genes (IRGs), a risk model was constructe and its relationship to tumor immunity and prognosis was evaluated. In addition, the expression and regulation of IRGs in LGG were further studied in vitro biological function experiments and immunohistochemistry of clinical samples. 20 differential genes associated with LGG-IRGs were found, then 6-IRGs-based signature was found by using of univariate COX, LASSO and SVM-RFE. ROC curves also supported the value of signature. CIBERSORT results demonstrated the crucial role played by these key signature genes in immune response. Additionally, aggregation analysis of relevant immune-related genes revealed that cluster 1 exhibited the lowest expression of RIPK2 and SELL. Moreover, GSVA results suggested that diagnostic immune-related genes may regulate LGG by influencing immune cells. We further validated these findings using external datasets and provided additional evidence supporting the predictive value of signature genes associated with IRGs in LGG through immunohistochemical testing on clinical samples and in vitro experiments. These 6 diagnostic IRGs genes can help differentiate and predict the prognosis and immune status of patients with LGG, thereby providing new strategies for precise and personalized immunotherapy.

Indexed as

Brain NeoplasmsGliomaInterferon-alphaBiomarkers, TumorCell Line, TumorGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleNeoplasm GradingPrognosisTumor MicroenvironmentBiomarkers, TumorInterferon-alphaImmune infiltrationInterferon alphaLow-grade gliomaPrognosis

Identifiers

PMID40651996
PMCPMC12255664

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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.