TMIC-98. Single-cell profiling of peripheral and local immune compartments reveal unique genotype- independent prognostic immune signatures across IDH-stratified glioma

Abstract BACKGROUND Glioma immune suppression involves both local and systemic mechanisms that vary by tumor genotype. While prior studies have characterized the tumor immune microenvironment (TIME), the interplay between peripheral and intratumoral immune responses across glioma genotypes remains poorly defined. We aimed to characterize local and circulating immune ontogenies across isocitrate dehydrogenase-mutant (IDH-Mut) and IDH-wildtype (IDH-WT) gliomas and evaluate their prognostic relevance. METHODS We performed paired single-cell RNA sequencing (scRNA-seq) of tumor-infiltrating leukocytes and peripheral blood mononuclear cells (PBMCs) from 18 adult glioma patients (6 IDH-Mut, 12 IDH-WT). Immune cell subsets were validated using spectral flow cytometry. We applied transcriptomic deconvolution to The Cancer Genome Atlas (TCGA) datasets to evaluate survival associations. RESULTS IDH-stratified gliomas exhibited distinct immune compositions in both the TIME and PBMCs. IDH-Mut patients showed enrichment of naïve CD4+ T cells and a unique population of GZMH+ CD8+ T cells in both compartments, whereas IDH-WT patients displayed elevated monocytes and Tregs. Notably, we identified microglia-like cells in peripheral blood expressing P2RY12 and CD83, absent in healthy controls and inducible by glioma-conditioned media. Transcriptomic deconvolution of TCGA data using single-cell references revealed five immune clusters with distinct cellular compositions. These immune clusters were predictive of overall survival independently of IDH status and common glioma mutations. CD83+C1Qhi microglia emerged as key mediators of immune communication, interacting broadly with T and myeloid cells and serving as dominant TNF signalers in IDH-Mut tumors. CONCLUSIONS This study uncovers shared and genotype-specific immune programs across the tumor and blood compartments of glioma patients. Immune-based transcriptional signatures, including those derived from peripheral blood, serve as independent predictors of survival. These findings establish a foundation for developing immune-based diagnostics and immunotherapies tailored to glioma genotype and immune contexture.

Authors

Institutions

Publication Details

Journal
Neuro-Oncology
Published
2025-11-01
DOI
https://doi.org/10.1093/neuonc/noaf201.1852
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

TMIC-98. Single-cell profiling of peripheral and local immune compartments reveal unique genotype- independent prognostic immune signatures across IDH-stratified glioma

Dario A.A. Vignali, Kai Tan, Jonathan Sussman, Nduka Amankulor et al.
Neuro-Oncology
Single-cell and spatial transcriptomics
article

TMIC-98. Single-cell profiling of peripheral and local immune compartments reveal unique genotype- independent prognostic immune signatures across IDH-stratified glioma

Dario A.A. Vignali, Kai Tan, Jonathan Sussman, Nduka Amankulor, Emily Xu, Tullia C. Bruno, Katharine Krueger, Angelo Angione, Omar Elghawy, Carly Cardello, Prajwal Rajappa, Bhargavi R. Budihal, Antonio Corral Tarbay, Anthony R. Cillo, Alex Li, Ebrar Akca, Xiaoran Zhang, Jessica Xu, J. Herbert Patterson
article en

Abstract

Abstract BACKGROUND Glioma immune suppression involves both local and systemic mechanisms that vary by tumor genotype. While prior studies have characterized the tumor immune microenvironment (TIME), the interplay between peripheral and intratumoral immune responses across glioma genotypes remains poorly defined. We aimed to characterize local and circulating immune ontogenies across isocitrate dehydrogenase-mutant (IDH-Mut) and IDH-wildtype (IDH-WT) gliomas and evaluate their prognostic relevance. METHODS We performed paired single-cell RNA sequencing (scRNA-seq) of tumor-infiltrating leukocytes and peripheral blood mononuclear cells (PBMCs) from 18 adult glioma patients (6 IDH-Mut, 12 IDH-WT). Immune cell subsets were validated using spectral flow cytometry. We applied transcriptomic deconvolution to The Cancer Genome Atlas (TCGA) datasets to evaluate survival associations. RESULTS IDH-stratified gliomas exhibited distinct immune compositions in both the TIME and PBMCs. IDH-Mut patients showed enrichment of naïve CD4+ T cells and a unique population of GZMH+ CD8+ T cells in both compartments, whereas IDH-WT patients displayed elevated monocytes and Tregs. Notably, we identified microglia-like cells in peripheral blood expressing P2RY12 and CD83, absent in healthy controls and inducible by glioma-conditioned media. Transcriptomic deconvolution of TCGA data using single-cell references revealed five immune clusters with distinct cellular compositions. These immune clusters were predictive of overall survival independently of IDH status and common glioma mutations. CD83+C1Qhi microglia emerged as key mediators of immune communication, interacting broadly with T and myeloid cells and serving as dominant TNF signalers in IDH-Mut tumors. CONCLUSIONS This study uncovers shared and genotype-specific immune programs across the tumor and blood compartments of glioma patients. Immune-based transcriptional signatures, including those derived from peripheral blood, serve as independent predictors of survival. These findings establish a foundation for developing immune-based diagnostics and immunotherapies tailored to glioma genotype and immune contexture.

Neuro-OncologyVol. 27(Supplement_5)
Nationwide Children's Hospital (US), Children's Hospital of Philadelphia (US), University of Pittsburgh (US), The Ohio State University Wexner Medical Center (US), University of Pennsylvania (US), Philadelphia University (US)
Openalex Percentile: Top 70%
Single-cell and spatial transcriptomics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.