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The Heterogeneity of Tumour-Associated Macrophages Contributes to the Recurrence and Outcomes of Glioblastoma Patients

Cellular heterogeneity and immune cell molecular phenotypes may be involved in the malignant progression of glioblastoma (GBM). In this study, we aimed to know whether the heterogeneity of tumour-associated macrophages contributes to the recurrence and outcomes of glioblastoma patients. Single-cell...

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Published in:Journal of molecular neuroscience 2023, Vol.73 (1), p.1-14
Main Authors: Xuan, Zixue, Fang, Ling, Zhang, Guobing, Zhang, Xin, Jiang, Jinying, Wang, Kai, Huang, Ping
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Fang, Ling
Zhang, Guobing
Zhang, Xin
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Wang, Kai
Huang, Ping
description Cellular heterogeneity and immune cell molecular phenotypes may be involved in the malignant progression of glioblastoma (GBM). In this study, we aimed to know whether the heterogeneity of tumour-associated macrophages contributes to the recurrence and outcomes of glioblastoma patients. Single-cell RNA sequencing (scRNA-Seq) data were used to assess the heterogeneity of CD45 + immune cells in recurrent GBM and analyse differentially expressed genes (DEGs) in master cells. Then, a prognostic signature based on the identified DEGs was established and validated, the correlation between risk score and tumour microenvironment (TME) was explored. The correlation between immune infiltration and LGMN , an important DEG in GBM tumour-associated macrophages (TAMs) was illuminated, using integrated bioinformatics analyses. Finally, immunohistochemistry and multiplex immunohistochemistry (mIHC) were used to analyse the expression of LGMN in GBM tissues from our hospital. scRNA-Seq analysis showed that the heterogeneity of recurrent GBM mainly comes from TAMs, which can be divided into 8 cell subclusters. Among these subclusters, TAM1 (markers: CXCL10, ADORA3), TAM3 (markers: MRC1, CFP), TAM4 (markers: GPNMB, PLTP), and TAM5 (markers: CCL4, IRAK2) were specifically present in recurrent GBM. After 342 DEGs in TAMs were identified, a prognostic signature was established based on 13 TAM-associated DEGs, and this signature could serve as an excellent prognostic predictor for patients with GBM. LGMN , one of 13 TAM-associated DEGs, was an important gene in lysosome pathway, we found that macrophage infiltration levels were higher after LGMN upregulation. GBM tissues from our hospital were collected for histopathologic validation, then LGMN was co-expressed with CD68, which is associated with the immune regulation of GBM. In conclusion, cell heterogeneity of TAMs is important for recurrent GBM, a prognostic signature based on 13 TAM-related DEGs can predict the survival outcome of GBM patients. An important DEG, LGMN may regulate the immune cell infiltration of GBM.
doi_str_mv 10.1007/s12031-022-02081-z
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In this study, we aimed to know whether the heterogeneity of tumour-associated macrophages contributes to the recurrence and outcomes of glioblastoma patients. Single-cell RNA sequencing (scRNA-Seq) data were used to assess the heterogeneity of CD45 + immune cells in recurrent GBM and analyse differentially expressed genes (DEGs) in master cells. Then, a prognostic signature based on the identified DEGs was established and validated, the correlation between risk score and tumour microenvironment (TME) was explored. The correlation between immune infiltration and LGMN , an important DEG in GBM tumour-associated macrophages (TAMs) was illuminated, using integrated bioinformatics analyses. Finally, immunohistochemistry and multiplex immunohistochemistry (mIHC) were used to analyse the expression of LGMN in GBM tissues from our hospital. scRNA-Seq analysis showed that the heterogeneity of recurrent GBM mainly comes from TAMs, which can be divided into 8 cell subclusters. 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subjects Bioinformatics
Biomarkers
Biomedical and Life Sciences
Biomedicine
Brain cancer
Brain Neoplasms - metabolism
Cancer
CD45 antigen
Cell Biology
Cells
CXCL10 protein
Gene expression
Gene Expression Regulation, Neoplastic
Gene sequencing
Genomes
Genomics
Glioblastoma
Glioblastoma - metabolism
Heterogeneity
Hospitals
Humans
Immune system
Immunohistochemistry
Immunoregulation
Infiltration
IRAK protein
Macrophages
Macrophages - metabolism
Medical prognosis
Medical schools
Membrane Glycoproteins - genetics
Metastases
Microenvironments
Neoplasm Recurrence, Local - genetics
Neoplasm Recurrence, Local - metabolism
Neoplasm Recurrence, Local - pathology
Neurochemistry
Neurology
Neurosciences
Pharmacy
Phenotypes
Proteomics
Tumor microenvironment
Tumor Microenvironment - genetics
Tumor-Associated Macrophages - metabolism
Tumor-Associated Macrophages - pathology
Tumors
title The Heterogeneity of Tumour-Associated Macrophages Contributes to the Recurrence and Outcomes of Glioblastoma Patients
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