4.7 Article

Predictive value of CCL2 in the prognosis and immunotherapy response of glioblastoma multiforme

Journal

BMC GENOMICS
Volume 24, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s12864-023-09674-x

Keywords

C-C motif chemokine ligand 2; Glioblastoma multiforme; Prognosis; Immunotherapy; Prediction; Bioinformatic analysis

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CCL2 is highly expressed in GBM and is associated with prognosis and immunotherapy response. It can serve as an independent prognostic factor for GBM patients and participate in the regulation of chemokine signaling pathway and inflammatory response.
BackgroundGlioblastoma multiforme (GBM) is the most common and lethal primary brain tumor with a poor prognosis. The C-C motif chemokine ligand 2 (CCL2) has shown abnormal expression associated with progression of multiple malignancies, however, its role in predicting the prognosis and immunotherapy response of GBM remains poorly understood.ResultsCCL2 was highly expressed in GBM as analyzed by integrating CGGA, GEPIA and UALCAN online platforms, and further verified by histologic examinations, qRT-PCR analysis, and independent GEO datasets. CCL2 could serve as an independent prognostic factor for both the poor overall survival and progression-free survival of GBM patients based on TCGA data, univariate and multivariate cox analyses. Functional enrichment analysis revealed that CCL2 mainly participated in the regulation of chemokine signaling pathway and inflammatory response. Further, CCL2 expression was positively correlated with CD4 T cells, macrophages, neutrophils and myeloid dendritic cells infiltrating GBM as calculated by the TIMER2.0 algorithm. Importantly, the tumor immune dysfunction and exclusion (TIDE) algorithm showed that in CCL2-high GBM group, the expression of CD274, CTLA4, HAVCR2 and other immune checkpoints were significantly increased, and the immune checkpoint blockade (ICB) therapy was accordingly more responsive.ConclusionsCCL2 can be used as a predictor of prognosis as well as immunotherapy response in GBM, offering potential clinical implications.

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