Integrative Single-Cell, Spatial, and Bulk Transcriptomics Characterizes an Outcome-Associated, Spatially Organized Mesenchymal Program in IDH-Mutant Glioma

IDH-mutant gliomas show variable clinical behavior that may reflect transcriptional programs organized within tumor tissue. We evaluated two curated expression scores: a differentiation-loss/Stem-NPC score (Axis1) and a mesenchymal–hypoxia score (Axis2). Public single-cell RNA-sequencing data were used to characterize malignant-cell states, and the scores were evaluated in bulk clinical cohorts using portable within-sample ranks and covariate-adjusted Cox models. Axis2 was separated into non-overlapping mesenchymal-only and hypoxia-only components. Spatial organization was tested in Visium sections from 11 patients using patient-level inference and constrained null models. The mesenchymal-only component was associated with shorter overall survival in CGGA-693 (hazard ratio per standard deviation = 1.73, 95% confidence interval 1.43–2.11) and CGGA-325 (1.41, 1.10–1.79), although molecular adjustment attenuated the association in CGGA-325. It remained spatially autocorrelated (mean Moran’s I = 0.297; p = 0.001). Removing gene overlap reduced its patient-level correlation with hypoxia from 0.798 to 0.254; residual co-organization was supported across all patients but not within either IDH subgroup. Axis1 showed no portable survival association. Thus, the mesenchymal component is outcome-associated and spatially organized, whereas the data do not establish hypoxia-driven organization, causality, or malignant-cell specificity.

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Journal
Biology
Published
2026-09-15
DOI
https://doi.org/10.3390/biology15181624
Primary Topic
Glioma Diagnosis and Treatment
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article
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Integrative Single-Cell, Spatial, and Bulk Transcriptomics Characterizes an Outcome-Associated, Spatially Organized Mesenchymal Program in IDH-Mutant Glioma

Khurshid Ahmad, Abraham Peele Karlapudi, Kesavi HimaBindhu Vuyyuru, Vyshnavi Daggubati
Biology
Glioma Diagnosis and Treatment
article

Integrative Single-Cell, Spatial, and Bulk Transcriptomics Characterizes an Outcome-Associated, Spatially Organized Mesenchymal Program in IDH-Mutant Glioma

Khurshid Ahmad, Abraham Peele Karlapudi, Kesavi HimaBindhu Vuyyuru, Vyshnavi Daggubati
article en

Abstract

IDH-mutant gliomas show variable clinical behavior that may reflect transcriptional programs organized within tumor tissue. We evaluated two curated expression scores: a differentiation-loss/Stem-NPC score (Axis1) and a mesenchymal–hypoxia score (Axis2). Public single-cell RNA-sequencing data were used to characterize malignant-cell states, and the scores were evaluated in bulk clinical cohorts using portable within-sample ranks and covariate-adjusted Cox models. Axis2 was separated into non-overlapping mesenchymal-only and hypoxia-only components. Spatial organization was tested in Visium sections from 11 patients using patient-level inference and constrained null models. The mesenchymal-only component was associated with shorter overall survival in CGGA-693 (hazard ratio per standard deviation = 1.73, 95% confidence interval 1.43–2.11) and CGGA-325 (1.41, 1.10–1.79), although molecular adjustment attenuated the association in CGGA-325. It remained spatially autocorrelated (mean Moran’s I = 0.297; p = 0.001). Removing gene overlap reduced its patient-level correlation with hypoxia from 0.798 to 0.254; residual co-organization was supported across all patients but not within either IDH subgroup. Axis1 showed no portable survival association. Thus, the mesenchymal component is outcome-associated and spatially organized, whereas the data do not establish hypoxia-driven organization, causality, or malignant-cell specificity.

BiologyVol. 15(18)
Vignan's Foundation for Science, Technology & Research (IN), Qassim University (SA)
Good health and well-being
Openalex Percentile: Top 11%
Glioma Diagnosis and Treatment
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Integrative Single-Cell, Spatial, and Bulk Transcriptomics Characterizes an Outcome-Associated, Spatially Organized Mesenchymal Program in IDH-Mutant Glioma — Khurshid Ahmad, Abraham Peele Karlapudi, et al. · Biology (2026) | TGRS Research Map | TGRS