Back to search

Article

Identification of Potential Therapeutic Targets and Biomarkers for Glioblastomas Through Integrative Analysis of Gene Expression Data

2024-03-08

Abstract excerpt

<h4>Background</h4> In this study, we conducted a comprehensive analysis of differential gene expression data from studies GSE15824, GSE4290 and GEPIA2 data to identify up-regulated hub genes with potential as therapeutic targets for glioblastomas. Through virtual screening, we also aimed to identify novel VEGFA inhibitors. <h4>Results</h4> Seven up-regulated hub genes (TYROBP, ITGB2, C1QA, C1QB, CTSS, TLR2, and...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
d4a4be8d-5f2e-525c-899a-562190abf6a7
DOI
10.1101/2024.03.04.583392
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Identification of Potential Therapeutic Targets and Biomarkers for Glioblastomas Through Integrative Analysis of Gene Expression DataDOI 10.1101/2024.03.04.583392
Identification of CXCL8, IL1A, and IL1B as Hub Genes of Therapeutic Resistance in Glioblastoma Multiforme via Bioinformatics AnalysisSemantic proximity
Hub biomarkers for the diagnosis and treatment of glioblastoma based on microarray technologySemantic proximity
Identification of an Immune-Related Prognostic Risk Model in GlioblastomaSemantic proximity
Bioinformatic Identification of a Six-Gene Biomarker Signature for Prognostic and Diagnostic Insight in GlioblastomaSemantic proximity
Identification of Potential Key Genes Associated with the Pathogenesis and Prognosis of Glioblastoma Based on Integrated Bioinformatics AnalysisSemantic proximity
Identification of Potential Biomarkers in Glioblastoma through Bioinformatic Analysis and Evaluating Their Prognostic ValueSemantic proximity
Identification of new targets for glioblastoma therapy based on a DNA expression microarraySemantic proximity
Identification of Hub Genes and Key Pathways Associated with Anti-VEGF Resistant Glioblastoma Using Gene Expression Data AnalysisSemantic proximity
Deciphering hub genes as potential therapeutic target involved in progression of Glioblastoma multiforme disease: A multi-omics approachSemantic proximity
Comprehensive transcriptomic characterization reveals core genes and module associated with immunological changes via 1619 samples of brain gliomaSemantic proximity
Identifying Hub Genes Driving Glioblastoma Multiforme Progression through Transcriptomics: To Discover Potential Diagnostic and Therapeutic TargetsSemantic proximity
Comprehensive analysis reveals independent prognostic biomarkers in glioblastomaSemantic proximity
Select a neighboring publication to make it the new centre.