Related Experiment Video
Updated: Aug 22, 2026
Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy
Published on: October 4, 2019
DNA-microarray analysis of brain cancer: molecular classification for therapy
Paul S Mischel1, Timothy F Cloughesy, Stanley F Nelson
1Department of Pathology and Laboratory Medicine, the Henry E. Singleton Brain Cancer Research Program at the David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California 90095, USA. pmischel@mednet.ucla.edu
Abstract:
Primary brain tumours are among the most lethal of all cancers, largely as a result of their lack of responsiveness to current therapy. Numerous new therapies hold great promise for the treatment of patients with brain cancer, but the main challenge is to determine which treatment is most likely to benefit an individual patient. DNA-microarray-based technologies, which allow simultaneous analysis of expression of thousands of genes, have already begun to uncover previously unrecognized patient subsets that differ in their survival. Here, we review the progress made so far in using DNA microarrays to optimize brain cancer therapy.
Insights
DNA microarrays help identify distinct brain cancer patient groups, improving treatment selection for better outcomes. This technology analyzes thousands of genes to personalize brain tumor therapy.
Area of Science:
- Neuro-oncology
- Genomics
- Molecular Biology
Background:
- Primary brain tumors are highly lethal due to resistance to current treatments.
- Personalizing therapy is crucial for improving patient survival in brain cancer.
- Identifying specific patient subsets is key to effective treatment strategies.
Purpose of the Study:
- To review the application of DNA microarrays in optimizing brain cancer therapy.
- To highlight the potential of gene expression profiling for personalized brain tumor treatment.
Main Methods:
- Utilizing DNA-microarray-based technologies for high-throughput gene expression analysis.
- Analyzing gene expression patterns to identify novel patient subgroups.
- Correlating gene expression profiles with patient survival data.
Main Results:
- DNA microarrays have revealed previously unrecognized patient subsets with distinct survival rates.
- Gene expression analysis facilitates a deeper understanding of brain tumor heterogeneity.
- Progress has been made in applying these technologies to tailor brain cancer treatments.
Conclusions:
- DNA microarrays are a powerful tool for stratifying brain cancer patients.
- This technology holds significant promise for optimizing therapeutic strategies in neuro-oncology.
- Personalized medicine approaches using gene expression data are advancing brain cancer care.
More Related Videos
06:32Evaluation of Biomarkers in Glioma by Immunohistochemistry on Paraffin-Embedded 3D Glioma Neurosphere Cultures
Published on: January 9, 2019
09:53Quantifying the Brain Metastatic Tumor Micro-Environment using an Organ-On-A Chip 3D Model, Machine Learning, and Confocal Tomography
Published on: August 16, 2020