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Updated: Oct 4, 2025
Quantitative Immunohistochemistry of the Cellular Microenvironment in Patient Glioblastoma Resections
Published on: July 31, 2017
Functional clustering analysis identifies specific subtypes of aldehyde dehydrogenase associated with glioma immunity
Di Wang1, Haoyu Jiang1, Zhiliang Wang1
1Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
Background:
As a novel cancer stem cell marker, the biological functions of aldehyde dehydrogenases (ALDH enzymes) are a hot topic in current cancer research. However, there is a lack of systematic understanding of ALDH enzymes, which has hindered the translation of targeted therapies from bench work into the clinic.
Methods:
Based on transcriptome data from 999 glioma patients, functional clustering analysis was performed to reveal the functional phenotypes of ALDH isoforms. Subsequently, ALDH subgroups closely related to gliomas were identified by Cox survival analysis. Finally, gene set variation analysis (GSVA) and Pearson correlation analysis were used to explore the biological functions of ALDH enzymes.
Results:
Our study found that ALDH enzymes could be classified into 5 subgroups, among which 3 groups were closely related to malignant progression and the prognosis of gliomas. We found that ALDH enzymes were closely related to gene mutations, which were most likely caused by changes in DNA repair functions. Further studies revealed that ALDH enzymes affect tumor immune functions, especially the expression of immune checkpoints. The effectiveness of immune checkpoint inhibitors in treating glioma might be improved by altering the expression of ALDH enzymes in specific subgroups.
Conclusions:
This study comprehensively revealed the biological functions of ALDH enzymes in glioma and provided details about the potential clinical application of targeted therapy for ALDH enzymes.
Insights
Aldehyde dehydrogenases (ALDH enzymes) impact glioma progression and prognosis. Targeting ALDH enzymes may improve immunotherapy effectiveness in specific glioma subgroups, offering new clinical applications.
Area of Science:
- Oncology
- Molecular Biology
- Cancer Genomics
Background:
- Aldehyde dehydrogenases (ALDH enzymes) are recognized as cancer stem cell markers.
- Understanding ALDH enzyme functions is crucial for developing targeted glioma therapies.
- Current knowledge gaps hinder clinical translation of ALDH-targeted treatments.
Purpose of the Study:
- To systematically analyze the biological functions of ALDH enzymes in glioma.
- To identify ALDH enzyme subgroups associated with glioma malignancy and prognosis.
- To explore the relationship between ALDH enzymes, gene mutations, and tumor immunity.
Main Methods:
- Transcriptome data analysis from 999 glioma patients.
- Functional clustering and Cox survival analysis to identify ALDH subgroups.
- Gene set variation analysis (GSVA) and Pearson correlation to explore functions.
Main Results:
- ALDH enzymes classified into 5 subgroups; 3 linked to glioma progression and prognosis.
- ALDH enzyme alterations correlate with gene mutations, likely due to DNA repair changes.
- ALDH enzymes influence tumor immune functions, including immune checkpoint expression.
Conclusions:
- Comprehensive elucidation of ALDH enzyme biological functions in glioma.
- Identification of potential clinical applications for ALDH enzyme-targeted therapies.
- Suggests ALDH enzyme modulation could enhance glioma immunotherapy efficacy.
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