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Related Experiment Video

Updated: Jun 3, 2026

Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy
09:40

Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy

Published on: October 4, 2019

Multigene sets for clinical application in glioma.

John F de Groot1, Erik P Sulman, Kenneth D Aldape

  • 1Brain Tumor Center, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA.

Journal of the National Comprehensive Cancer Network : JNCCN
|April 6, 2011
PubMed
Summary

Diffuse gliomas are complex brain tumors with varied outcomes. Molecular profiling advances are identifying new biomarkers to personalize treatment and improve patient stratification for better glioma therapy.

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Area of Science:

  • Neuro-oncology
  • Molecular Genetics
  • Cancer Biology

Background:

  • Diffuse gliomas exhibit significant heterogeneity in clinical outcomes and biology, despite traditional histologic classification.
  • Existing clinicopathologic variables do not fully capture the variability in glioma behavior.
  • Advances in molecular genetics and high-throughput profiling have revolutionized brain tumor research.

Purpose of the Study:

  • To highlight the impact of molecular profiling on understanding diffuse glioma heterogeneity.
  • To discuss the identification of prognostic and predictive factors through large-scale data analysis.
  • To explore the challenge of implementing molecular signatures for personalized glioma therapy.

Main Methods:

  • Utilized high-throughput profiling techniques, including advanced sequencing methodologies.

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Evaluation of Biomarkers in Glioma by Immunohistochemistry on Paraffin-Embedded 3D Glioma Neurosphere Cultures
06:32

Evaluation of Biomarkers in Glioma by Immunohistochemistry on Paraffin-Embedded 3D Glioma Neurosphere Cultures

Published on: January 9, 2019

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Last Updated: Jun 3, 2026

Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy
09:40

Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy

Published on: October 4, 2019

Evaluation of Biomarkers in Glioma by Immunohistochemistry on Paraffin-Embedded 3D Glioma Neurosphere Cultures
06:32

Evaluation of Biomarkers in Glioma by Immunohistochemistry on Paraffin-Embedded 3D Glioma Neurosphere Cultures

Published on: January 9, 2019

  • Leveraged multidimensional profiling data from The Cancer Genome Atlas (TCGA) project.
  • Analyzed large datasets to identify molecular drivers and biomarkers of glioma.

    • Main Results:

    • Molecular profiling has identified novel prognostic and predictive factors in diffuse gliomas.
    • Key pathways driving tumor growth have been elucidated through genomic analysis.
    • Significant biological heterogeneity is now understood at a molecular level.

    Conclusions:

    • Molecular signatures offer a path towards personalized treatment strategies for glioma patients.
    • Identifying relevant biomarkers is crucial for stratifying patients and tailoring therapies.
    • Integrating molecular data into clinical practice is essential for advancing glioma care.