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Updated: Jul 9, 2026
09:17
Digital Spatial Profiling for Characterization of the Microenvironment in Adult-Type Diffusely Infiltrating Glioma
Published on: September 13, 2022
Integrative Single-Cell and Bulk Transcriptome Analysis Reveals Molecular Mechanisms, Prognostic Signatures, and
Xindong Xu1, Chunyuan Zhang2,3, Youjun Li1
1Department of Neurosurgery, Haikou Research Institute of Xiangya School of Medicine, Central South University, Haikou.
The Journal of Craniofacial Surgery
|July 7, 2026
Summary
This study develops a new 5-gene prognostic model for glioma, identifying neutrophils as key players. The model predicts patient survival and response to therapy, aiding precision treatment for this aggressive brain tumor.
Area of Science:
- Oncology
- Immunology
- Genomics
Background:
- Glioma is an aggressive brain tumor with a complex microenvironment hindering treatment.
- Current sequencing methods offer insights but lack integrated prognostic tools.
Purpose of the Study:
- To integrate single-cell and bulk transcriptomic data for glioma.
- To develop a neutrophil-associated prognostic model for glioma.
- To identify potential therapeutic targets and biomarkers.
Main Methods:
- Integrated single-cell RNA sequencing with bulk transcriptomic data.
- Constructed a glioma cell landscape and identified neutrophil-associated genes.
- Developed and validated a 5-gene prognostic risk model using LASSO regression and a nomogram.
Main Results:
- Identified 7 major cell types, with neutrophils significantly contributing to glioma.
- The 5-gene model (MTPN, BHLHE40, UPP1, G0S2, LSP1) accurately stratified patients by survival.
- Risk score correlated with key pathways (p53, IL6-JAK-STAT3, MAPK), immune infiltration (neutrophils, Tregs), and drug sensitivity.
Conclusions:
- An integrative analysis established a robust neutrophil-associated prognostic model for glioma.
- The risk score is an independent predictor of survival, immune landscape, and therapeutic response.
- This model offers a clinically relevant tool for glioma risk stratification and precision medicine.
