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PMID: 38637440 Published · ppublish English

Identifying Diffuse Glioma Subtypes Based on Pathway Enrichment Evaluation.

Feng Q, Dong Z, Nie R, Wang X

Abstract

Gliomas are highly heterogeneous in molecular, histology, and microenvironment. However, a classification of gliomas by integrating different tumor microenvironment (TME) components remains unexplored. Based on the enrichment scores of 17 pathways involved in immune, stromal, DNA repair, and nervous system signatures in diffuse gliomas, we performed consensus clustering to uncover novel subtypes of gliomas. Consistently in three glioma datasets (TCGA-glioma, CGGA325, and CGGA301), we identified three subtypes: Stromal-enriched (Str-G), Nerve-enriched (Ner-G), and mixed (Mix-G). Ner-G was charactered by low immune infiltration levels, stromal contents, tumor mutation burden, copy number alterations, DNA repair activity, cell proliferation, epithelial-mesenchymal transformation, stemness, intratumor heterogeneity, androgen receptor expression and EGFR, PTEN, NF1 and MUC16 mutation rates, while high enrichment of neurons and nervous system pathways, and high tumor purity, estrogen receptor expression, IDH1 and CIC mutation rates, temozolomide response rate and overall and disease-free survival rates. In contrast, Str-G displayed contrastive characteristics to Ner-G. Our analysis indicates that the heterogeneity between glioma cells and neurons is lower than that between glioma cells and immune and stromal cells. Furthermore, the abundance of neurons is positively associated with clinical outcomes in gliomas, while the enrichment of immune and stromal cells has a negative association with them. Our classification method provides new insights into the tumor biology of gliomas, as well as clinical implications for the precise management of this disease.

Keywords
Genomic instability Glioma Nervous pathways Pathway enrichment Subtyping Tumor microenvironment
MeSH 主题词
Glioma/genetics,pathology,metabolism,classification Humans Tumor Microenvironment Brain Neoplasms/genetics,pathology,metabolism Mutation
Article Info
Journal
Interdisciplinary sciences, computational life sciences
Abbr.
Interdiscip Sci
ISSN
1867-1462
Corresponding email
Published
2024-09-00
Language
English
Country/Region
Germany
NLM ID
101515919
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