Evidence map›Paper›PMID 39623266›Full record

ArticleNan fang yi ke da xue xue bao = Journal of Southern Medical University2024

[A two-site combined prediction model based on HOXA9 DNA methylation for early screening of risks of meningioma progression].

R Tan, X Bao, L Han, Z Li, N Tian

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In one paragraph

Article in Nan fang yi ke da xue xue bao = Journal of Southern Medical University, 2024. 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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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

R TanSchool of Life Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China.
X BaoSchool of Life Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China.
L HanDepartment of Pathology, China-Japan Union Hospital of Jilin University, Changchun 130031, China.
Z LiDepartment of Neurosurgery, China-Japan Union Hospital of Jilin University, Changchun 130031, China.
N TianSchool of Life Sciences, Zhejiang Chinese Medical University, Hangzhou 310053, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo establish a recurrence risk prediction model for meningioma based on HOXA9 DNA methylation.

methodsMeningioma-related datasets were downloaded from GEO database for screening homeobox genes (HOXs) with prognostic values using differential methylation and ROC curve analysis and Cox regression analysis. The differentially methylated CpG sites with high predictive efficacy were selected to establish the risk prediction model using Lasso-Cox regression analysis, based on which the patients were divided into high- and low-risk groups by the cutoff value. The methylation levels of CpG sites were verified at the cell and tissue levels using methylation-specific PCR (MS-PCR). Clinical meningioma tissue samples were used to validate the predictive efficacy of the model.

resultsHOXA9 methylation level was significantly up-regulated in meningiomas (

conclusionHigh HOXA9 methylation level is a predictor for poor prognosis of meningiomas, and the combined prediction model based on its CpG sites provides a new approach to early screening of meningioma patients at risk of progression.

Indexed as

DNA MethylationHomeodomain ProteinsMeningiomaCpG IslandsDisease ProgressionHumansMeningeal NeoplasmsNeoplasm Recurrence, LocalPrognosisProportional Hazards ModelsRisk FactorsROC Curvehomeobox protein HOXA9Homeodomain ProteinsCpG sitesdiagnosisDNA methylationHOXA9meningiomaprognosis

Identifiers

PMID39623266
PMCPMC11605192

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