Back to search

Article

Identifying Hub Genes Driving Glioblastoma Multiforme Progression through Transcriptomics: To Discover Potential Diagnostic and Therapeutic Targets

2024-06-12

Abstract excerpt

<title>Abstract</title> <p>Glioblastoma multiforme (GBM) is a highly aggressive primary brain tumor associated with high fatality rates, poor prognosis, and limited treatment options. To enhance our understanding of the disease and pave the way for targeted therapies, it is imperative to identify key genes influencing GBM progression. In this study, we harnessed RNA-Seq gene count data from GBM patients sourced f...

Topics

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

Identifiers and source

Literature Corpus work
2f395fcb-aa1f-5951-b9af-7521b7ea0f2f
DOI
10.21203/rs.3.rs-4476664/v1
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.
Identifying Hub Genes Driving Glioblastoma Multiforme Progression through Transcriptomics: To Discover Potential Diagnostic and Therapeutic TargetsDOI 10.21203/rs.3.rs-4476664/v1
Deciphering hub genes as potential therapeutic target involved in progression of Glioblastoma multiforme disease: A multi-omics approachSemantic proximity
Hub biomarkers for the diagnosis and treatment of glioblastoma based on microarray technologySemantic proximity
In-Depth Summary of Intersected Hub-Genes Between Low-Grade and High-Grade Gliomas, from Bioinformatics and Literature ReportsSemantic proximity
Bioinformatic Identification of a Six-Gene Biomarker Signature for Prognostic and Diagnostic Insight in GlioblastomaSemantic proximity
Identification of CXCL8, IL1A, and IL1B as Hub Genes of Therapeutic Resistance in Glioblastoma Multiforme via Bioinformatics AnalysisSemantic proximity
Construct ion of co - expression modules related to survival by WGCNA and identif ication of potential prognostic biomarkers in glioblastomaSemantic proximity
Identification of potential crucial genes and molecular mechanisms in glioblastoma multiforme by bioinformatics analysisSemantic proximity
Comprehensive analysis reveals independent prognostic biomarkers in glioblastomaSemantic proximity
Comprehensive transcriptomic characterization reveals core genes and module associated with immunological changes via 1619 samples of brain gliomaSemantic proximity
Integrated Transcriptome Profiling Identifies Prognostic Hub Genes as Therapeutic Targets of Glioblastoma: Evidenced by Bioinformatics AnalysisSemantic proximity
Identification of key candidate genes and pathways in glioblastoma by integrated bioinformatical analysisSemantic proximity
Identification of Potential Key Genes Associated with the Pathogenesis and Prognosis of Glioblastoma Based on Integrated Bioinformatics AnalysisSemantic proximity
Select a neighboring publication to make it the new centre.