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Hypoxia characteristics and prognostic significance of glioblastoma MES-like subpopulation through multi-transcriptomics sequencing
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Tao CHEN, Fan YANG, Shuai WANG, Min LUO, Zexuan YAN, Caidie TANG, Yun NING, Sisi YANG, Ruofei CAO, Zhengbo LI, Xuanyu FANG, Xiaohong YAO
Journal of Army Medical University | 2025, 47(16) : 1904 - 1912
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Journal of Army Medical University | 2025, 47(16): 1904-1912
• Basic Medicine •
Hypoxia characteristics and prognostic significance of glioblastoma MES-like subpopulation through multi-transcriptomics sequencing
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Tao CHEN, Fan YANG, Shuai WANG, Min LUO, Zexuan YAN, Caidie TANG, Yun NING, Sisi YANG, Ruofei CAO, Zhengbo LI, Xuanyu FANG, Xiaohong YAO
Affiliations
  • 1Institute of Pathology,Key Laboratory of Tumor Immunopathology of Ministry of Education,First Affiliated Hospital,Army Medical University (Third Military Medical University),Chongqing,China
Published: 2025-08-30 doi: 10.16016/j.2097-0927.202504111
Outline
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Objective‍

To analyze the composition characteristics and biological functions of tumor cell subpopulations in glioblastoma (GBM) through multi-transcriptomics sequencing technology, and explore the hypoxia characteristics and spatial localization features of the mesenchymal-like (MES-like) tumor cell subpopulation in GBM and the influence on malignant biological behaviors.

Methods‍

Multi-transcriptomics sequencing data, including single-cell RNA sequencing (scRNA-seq) data (18 patients), bulk RNA sequencing (bulk RNA-seq) and spatial transcriptomics (ST) data of GBM, were employed to define cell subpopulations in GBM, and Gene Ontology (GO) and Gene Set Enrichment Analysis (GSEA) were utilized to analyze their functions. The proportions and locations of cell subpopulations in bulk RNA-seq data were evaluated with BayesPrism deconvolution. Immunofluorescence assay was conducted for verification on 12 paraffin samples of GBM from patients who visited the neurosurgical department of our hospital from 2015 to 2023 and met the pathological diagnostic criteria for GBM (10 males and 2 females, at an average age of 53.50 years and a median age of 54.50 years). pySCENIC was applied to predict specific transcription factors of tumor cell subpopulations.

Results‍

Tumor cells in GBM were highly heterogeneous, and could be mainly divided into 4 subpopulations: astrocyte-like (AC-like), neural progenitor-like (NPC-like), oligodendrocyte progenitor-like (OPC-like) and MES-like. Differential gene analysis found that the MES-like tumor cells highly expressed vascular endothelial growth factor A (VEGFA), adrenomedullin (ADM), N-myc downstream regulated 1 (NDRG1), insulin like growth factor binding protein 5 (IGFBP5), and A-kinase anchoring protein 12 (AKAP12) (P<0.001). pySCENIC transcription factor prediction found that the high-active transcription factors of the MES-like tumor cells were AT-rich interaction domain 3A (ARID3A), FOS like 2, AP-1 transcription factor subunit (FOSL2), endothelial PAS domain protein 1 (EPAS1), CCAAT enhancer binding protein delta (CEBPD), and CCAAT enhancer binding protein beta (CEBPB) (P<0.05). GO and GSEA enrichment analyses found that the MES-like tumor cells were enriched in hypoxia-related pathways, especially the pathway of cell responses to hypoxia levels (NES=2.437, P<0.001). BayesPrism deconvolution showed that the MES-like tumor cells mainly existed in PAN(Pseudopalisading cells around necrosis) and perinecrotic zone. Immunofluorescence assay confirmed CD44+ (CD44 antigen) MES-like tumor cells were mainly located in hypoxia areas with highly expression of hypoxia inducible factor 1 subunit alpha (HIF1α) (P<0.01). Multivariate Cox regression analysis indicated that the MES-like tumor cells were significantly correlated with the adverse prognosis of GBM patients (HR=1.71, 95%CI: 1.38~2.11, P<0.001).

Conclusion‍

Tumor cells in GBM are of highly heterogeneity. They could be mainly divided into 4 subpopulations: AC-like, NPC-like, OPC-like and MES-like. MES-like tumor cells, mainly locating in PAN and perinecrotic zone, are characterized by hypoxia, which can promote the malignant progression of GBM.

glioblastoma  /  hypoxia  /  sequence analysis,RNA
陈涛, 杨帆, 王帅, 罗敏, 颜泽萱, 唐采蝶, 甯芸, 杨思思, 曹若菲, 李政波, 方煊宇, 姚小红. 基于多转录组测序的胶质母细胞瘤间质样肿瘤亚群缺氧特征及预后研究. 陆军军医大学学报, 2025 , 47 (16) : 1904 -1912 . DOI: 10.16016/j.2097-0927.202504111
Tao CHEN, Fan YANG, Shuai WANG, Min LUO, Zexuan YAN, Caidie TANG, Yun NING, Sisi YANG, Ruofei CAO, Zhengbo LI, Xuanyu FANG, Xiaohong YAO. Hypoxia characteristics and prognostic significance of glioblastoma MES-like subpopulation through multi-transcriptomics sequencing[J]. Journal of Army Medical University, 2025 , 47 (16) : 1904 -1912 . DOI: 10.16016/j.2097-0927.202504111
Year 2025 volume 47 Issue 16
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6
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doi: 10.16016/j.2097-0927.202504111
  • Receive Date:2025-04-27
  • Online Date:2026-10-28
  • Published:2025-08-30
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  • Received:2025-04-27
  • Revised:2025-06-26
Affiliations
    1Institute of Pathology,Key Laboratory of Tumor Immunopathology of Ministry of Education,First Affiliated Hospital,Army Medical University (Third Military Medical University),Chongqing,China
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表12种不同金属材料的力学参数
科
Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)
属
Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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