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

被引:0
作者
Xuan, Zixue [1 ,2 ]
Fang, Ling [3 ]
Zhang, Guobing [4 ]
Zhang, Xin [5 ]
Jiang, Jinying [1 ]
Wang, Kai [6 ]
Huang, Ping [1 ,2 ]
机构
[1] Zhejiang Prov Peoples Hosp, Affiliated Peoples Hosp, Hangzhou Med Coll, Ctr Clin Pharm, Hangzhou, Peoples R China
[2] Zhejiang Prov Peoples Hosp, Affiliated Peoples Hosp, Hangzhou Med Coll, Key Lab Endocrine Gland Dis Zhejiang Prov, Hangzhou, Peoples R China
[3] First Affiliated Hosp Anhui Med Univ, Dept Pharm, Hefei, Peoples R China
[4] Zhejiang Prov Peoples Hosp, Affiliated Peoples Hosp, Hangzhou Med Coll, Qual Management Off, Hangzhou, Peoples R China
[5] Zhejiang Prov Peoples Hosp, Affiliated Peoples Hosp, Hangzhou Med Coll, Dept Pathol, Hangzhou, Peoples R China
[6] Southwest Med Univ, Res Ctr Preclin Med, Luzhou, Peoples R China
关键词
Single-cell RNA sequencing; Tumour-associated macrophages; Glioblastoma; Heterogeneity; Tumour microenvironment; Multiplex immunohistochemistry; PROGRESSION; MODEL;
D O I
10.1007/s12031-022-02081-z
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
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 TAMS (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.
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页码:1 / 14
页数:14
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