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Related Experiment Video

Updated: May 17, 2025

Quantitative Immunohistochemistry of the Cellular Microenvironment in Patient Glioblastoma Resections

Quantitative Immunohistochemistry of the Cellular Microenvironment in Patient Glioblastoma Resections

Published on: July 31, 2017

Elucidating the Predominant Role of AEBP1 in Different Types of Cancers with a Focus on Glioblastoma Progression - A

Rangaraj Kaviyaprabha¹, Sridhar Muthusami², Thandaserry Vasudevan Miji¹

¹Centre for Bioinformatics, Department of Biochemistry, Karpagam Academy of Higher Education, Coimbatore, Tamil Nadu, 641021, India.

Current Gene Therapy

|May 16, 2025

Summary

Overexpression of AEBP1 in glioblastoma (GBM) significantly reduces patient survival. Targeting AEBP1 and associated collagen-depositing genes like COL6A2 and THBS2 offers a promising therapeutic strategy for GBM treatment.

Keywords:

AEBP1 DEGs GBM progression Glioblastoma RNA-seq collagen

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A Human Glioblastoma Organotypic Slice Culture Model for Study of Tumor Cell Migration and Patient-specific Effects of Anti-Invasive Drugs

A Human Glioblastoma Organotypic Slice Culture Model for Study of Tumor Cell Migration and Patient-specific Effects of Anti-Invasive Drugs

Published on: July 20, 2017

Area of Science:

Oncology
Genomics
Bioinformatics

Background:

Glioblastoma multiforme (GBM) presents a high recurrence rate despite standard treatments, necessitating novel biomarkers for chemoresistance.
Identifying diagnostic and therapeutic biomarkers through computational analysis of RNA sequencing data is crucial for improving GBM patient outcomes.

Purpose of the Study:

To investigate the role of AEBP1 as a potential biomarker and therapeutic target in Glioblastoma (GBM).
To analyze AEBP1 expression, its association with patient survival, and its regulatory mechanisms in GBM using computational approaches.

Main Methods:

Utilized computational tools (GEO, GEPIA, Glioma-BioDP, Tumor Immune Single-cell Hub 2, NetworkAnalyst) to analyze TCGA-GBM datasets and identify DEGs.
Predicted miRNA regulation of AEBP1 and constructed a Protein-Protein Interaction (PPI) network to identify key genes.
Analyzed survival rates associated with AEBP1 expression and identified differentially expressed genes (DEGs) from multiple datasets (GSE121723, GSE184643, GSE14824).

Main Results:

Identified thousands of differentially expressed genes (DEGs) in GBM, with 155 commonly upregulated genes.
AEBP1 overexpression was significantly associated with reduced survival rates in GBM patients (HR = 2.1; P = 4.9e-05).
COL6A2 and THBS2 were identified as key genes involved in GBM progression through collagen deposition, correlated with AEBP1 expression.

Conclusions:

AEBP1 is a significant regulator of GBM progression and a potential diagnostic and prognostic biomarker.
Targeting AEBP1, COL6A2, and THBS2 presents a promising therapeutic strategy for GBM.
hsa-miR-128-3p was identified as a potential miRNA therapeutic target to inhibit AEBP1 expression and prevent GBM progression.