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Updated: Jun 28, 2025

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

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

Published on: January 9, 2019

Identifying Diffuse Glioma Subtypes Based on Pathway Enrichment Evaluation.

Qiushi Feng^1,2,3, Zehua Dong^1,2,3, Rongfang Nie^1,2,3

¹Biomedical Informatics Research Lab, School of Basic Medicine and Clinical Pharmacy, China Pharmaceutical University, Nanjing, 211198, China.

Interdisciplinary Sciences, Computational Life Sciences

|April 18, 2024

Summary

This summary is machine-generated.

We identified three novel glioma subtypes by analyzing tumor microenvironment pathways. Nerve-enriched gliomas show better survival, unlike stromal-enriched types, offering new insights for precise glioma management.

Keywords:

Genomic instability Glioma Nervous pathways Pathway enrichment Subtyping Tumor microenvironment

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Quantitative Immunohistochemistry of the Cellular Microenvironment in Patient Glioblastoma Resections

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Published on: July 31, 2017

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Last Updated: Jun 28, 2025

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

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Published on: January 9, 2019

Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma

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Published on: September 13, 2022

Quantitative Immunohistochemistry of the Cellular Microenvironment in Patient Glioblastoma Resections

Quantitative Immunohistochemistry of the Cellular Microenvironment in Patient Glioblastoma Resections

Published on: July 31, 2017

Area of Science:

Oncology
Molecular Biology
Bioinformatics

Background:

Gliomas exhibit significant heterogeneity in molecular, histological, and microenvironmental features.
A comprehensive classification integrating tumor microenvironment (TME) components is currently lacking for gliomas.

Purpose of the Study:

To classify diffuse gliomas based on integrated TME pathway signatures.
To uncover novel glioma subtypes with distinct biological and clinical characteristics.

Main Methods:

Utilized consensus clustering on 17 pathway enrichment scores (immune, stromal, DNA repair, nervous system) across three independent glioma datasets (TCGA-glioma, CGGA325, CGGA301).

Main Results:

Identified three consistent subtypes: Stromal-enriched (Str-G), Nerve-enriched (Ner-G), and Mixed (Mix-G).
Ner-G subtypes demonstrated lower immune infiltration, stromal content, mutation burden, and higher tumor purity, neuron enrichment, and improved survival rates, with higher rates of IDH1 and CIC mutations.
Str-G subtypes exhibited contrasting features to Ner-G.

Conclusions:

The novel classification provides new insights into glioma biology, highlighting the differential impact of neuronal, immune, and stromal components on tumor behavior.
Neuron abundance positively correlates with clinical outcomes, whereas immune and stromal cell enrichment negatively impacts them.
This classification offers potential for precise management strategies in glioma patients.