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Related Concept Videos

Tumor Progression02:07

Tumor Progression

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Tumor progression is a phenomenon where the pre-formed tumor acquires successive mutations to become clinically more aggressive and malignant. In the 1950s, Foulds first described the stepwise progression of cancer cells through successive stages.
Colon cancer is one of the best-documented examples of tumor progression. Early mutation in the APC gene in colon cells causes a small growth on the colon wall called a polyp. With time, this polyp grows into a benign, pre-cancerous tumor. Further...
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Related Experiment Video

Updated: Feb 28, 2026

Transposon Mediated Integration of Plasmid DNA into the Subventricular Zone of Neonatal Mice to Generate Novel Models of Glioblastoma
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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)
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This study reveals distinct molecular signatures in glioblastoma (GBM) progression, identifying gene expression patterns linked to tumor recurrence. These findings offer insights into GBM

Keywords:
GBMgene networksmolecular pathwaysmolecular signaturesrecurrent tumor

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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.