Integrative analysis of single-cell and bulk transcriptome data reveals age-related immune cell alterations in primary glioblastoma associated with prognosis.

ABSTRACT:

Background

Glioblastoma (GBM) is the most malignant and highly recurrent brain tumor. Although over half of the GBM patients are elderly patients, the understanding of how aging affects GBM progression remains limited.

Methods

Clinical and genomic variation data of GBM patients from TCGA and CGGA databases were used for prognostic analysis. We collected single-cell transcriptome data of 88,908 cells from 13 primary GBM (pGBM) and 12 recurrent GBM (rGBM) patients. Age-related immune cells were identified through cell-cell communication and trajectory analysis. The results were validated by projecting the single-cell transcriptome profiles onto bulk data. Finally, we experimentally validated the results on syngeneic orthotopic models of younger and older mice.

Results

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SUBMITTER: Jing Z 

PROVIDER: S-EPMC12612434 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature