PATH-35. A novel classification of glioblastoma subtypes based on hallmark gene sets: association between poor prognosis and TP53 pathway activity

Abstract Glioblastoma (GBM) is a highly aggressive and treatment-refractory malignant brain tumor with a markedly poor prognosis. Although various molecular subtypes have been identified to develop effective diagnostic and therapeutic strategies, their clinical application remains limited due to unclear classification criteria resulting from intra-tumoral heterogeneity and low clinical relevance. In this study, GBM cell line RNA-seq data from DepMap database and bulk RNA-seq data from The Cacner Genome Atlas, Chinese Glioma Genome Atlas, PRJNA1051047, and in-house cohorts were analyzed. Additionally, GeoMx DSP data, paired with in-house RNA-seq samples, were analyzed to investigate spatial transcriptome characteristics. GBM cell lines were divided into two new subtypes by NMF consensus clustering with Hallmark ssGSEA module score. Based on deferentially expressed gene sets IDH-wildtype GBM samples from four cohort were classified to two clusters named EMT and proliferative (PRO) subtypes by Bayesian compound covariate prediction. EMT subtype showed poor prognosis and high tumor related pathway scores such as EMT, angiogenesis, and hypoxia. Interestingly, TP53 showed strong association as upstream regulator in EMT subtypes similar to ssGSEA module scores of 10 TP53-related pathways from various curated database in four patient cohorts. In the GeoMx DSP analysis, TP53 expression and single-sample gene set enrichment analysis module scores were compared between α-SMA, CD45, and CD31 regions of interest (AOIs) divided into EMT and PRO subtypes. The expression of TP53 did not significant differ between EMT and PRO subtype in every type of AOI, however Hallmark TP53 signaling module score is lower in a-SMA AOIs of EMT subtypes around perivascular regions. In summary, the clinically relevant two subtypes were discovered, and especially EMT subtype was highly associated with poor prognosis and dysregulation of TP53 downstream pathways, suggesting the potential involvement of TP53 in GBM malignancy.

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Publication Details

Journal
Neuro-Oncology
Published
2025-11-01
DOI
https://doi.org/10.1093/neuonc/noaf201.0987
Primary Topic
Glioma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
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article

PATH-35. A novel classification of glioblastoma subtypes based on hallmark gene sets: association between poor prognosis and TP53 pathway activity

Kyoung Su Sung, Yu Jin Kim, Jihwan Yoo, JeongMan Park et al.
Neuro-Oncology
Glioma Diagnosis and Treatment
article

PATH-35. A novel classification of glioblastoma subtypes based on hallmark gene sets: association between poor prognosis and TP53 pathway activity

Kyoung Su Sung, Yu Jin Kim, Jihwan Yoo, JeongMan Park, Ju Hyung Moon, Jaejoon Lim, JeongMin Sim, Nayeong Yuk, Sung Hwan Lee
article en

Abstract

Abstract Glioblastoma (GBM) is a highly aggressive and treatment-refractory malignant brain tumor with a markedly poor prognosis. Although various molecular subtypes have been identified to develop effective diagnostic and therapeutic strategies, their clinical application remains limited due to unclear classification criteria resulting from intra-tumoral heterogeneity and low clinical relevance. In this study, GBM cell line RNA-seq data from DepMap database and bulk RNA-seq data from The Cacner Genome Atlas, Chinese Glioma Genome Atlas, PRJNA1051047, and in-house cohorts were analyzed. Additionally, GeoMx DSP data, paired with in-house RNA-seq samples, were analyzed to investigate spatial transcriptome characteristics. GBM cell lines were divided into two new subtypes by NMF consensus clustering with Hallmark ssGSEA module score. Based on deferentially expressed gene sets IDH-wildtype GBM samples from four cohort were classified to two clusters named EMT and proliferative (PRO) subtypes by Bayesian compound covariate prediction. EMT subtype showed poor prognosis and high tumor related pathway scores such as EMT, angiogenesis, and hypoxia. Interestingly, TP53 showed strong association as upstream regulator in EMT subtypes similar to ssGSEA module scores of 10 TP53-related pathways from various curated database in four patient cohorts. In the GeoMx DSP analysis, TP53 expression and single-sample gene set enrichment analysis module scores were compared between α-SMA, CD45, and CD31 regions of interest (AOIs) divided into EMT and PRO subtypes. The expression of TP53 did not significant differ between EMT and PRO subtype in every type of AOI, however Hallmark TP53 signaling module score is lower in a-SMA AOIs of EMT subtypes around perivascular regions. In summary, the clinically relevant two subtypes were discovered, and especially EMT subtype was highly associated with poor prognosis and dysregulation of TP53 downstream pathways, suggesting the potential involvement of TP53 in GBM malignancy.

Neuro-OncologyVol. 27(Supplement_5)
Hallym University (KR), Severance Hospital (KR), Dong-A University Hospital (KR), CHA University Bundang Medical Center (KR), Gangnam Severance Hospital (KR), CHA University (KR)
Openalex Percentile: Top 52%
Glioma Diagnosis and Treatment
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