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Molecular Signatures and Network Alterations Underlying GBM Progression and Recurrence
Andrea Pop Crisan1, Cristina Ciocan2, Radu Pirlog3,4
1Department of Surgical Sciences, Faculty of Medicine and Pharmacy, University of Oradea, 410073 Oradea, Romania.
Medicina (Kaunas, Lithuania)
|February 27, 2026
Summary
This study reveals distinct molecular signatures in glioblastoma (GBM) progression, identifying gene expression patterns linked to tumor recurrence. These findings offer insights into GBM
Area of Science:
- Neuro-oncology
- Genomics
- Molecular Biology
Background:
- Glioblastoma (GBM) is an aggressive primary brain tumor with high recurrence and poor prognosis.
- Understanding the molecular basis of GBM progression and recurrence is critical for improving patient outcomes.
Purpose of the Study:
- Identify gene-expression signatures associated with primary and recurrent GBM.
- Elucidate molecular networks and pathways driving GBM progression and recurrence.
- Discover potential therapeutic targets for glioblastoma management.
Main Methods:
- Analyzed The Cancer Genome Atlas (TCGA) gene expression data from tumor, recurrent, and normal brain tissues.
- Identified differentially expressed genes and overlapping signatures between tumor states.
- Utilized Ingenuity Pathway Analysis (IPA) for gene network and pathway analysis.
Main Results:
- Discovered distinct molecular signatures differentiating tumor, recurrent, and normal brain samples.
- Identified dysregulated genes related to cellular growth, proliferation, and migration.
- Developed Tumor Scores (TS) and Recurrence Scores (RS) to classify samples into four distinct states: normal-like, proliferative, transitional, and recurrence-adapted.
Conclusions:
- Glioblastoma exhibits progressive, recurrence-adapted molecular states.
- Signaling networks and biological mechanisms underlying GBM recurrence are elucidated.
- Findings may facilitate the identification of novel therapeutic strategies for glioblastoma.
