Jin Xiong, Kang Jianlei, Lu Qing, Guo Shuang-Lei, Liu Meichen, Zhang Yue, Cui Can, Liu Hong-Lin, Xu Xin, Yin Jinlong
Henan Key Laboratory of Brain Targeted Bio-nanomedicine, School of Life Sciences & School of Pharmacy, Henan University, Kaifeng, China.
Department of Neurosurgery, Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, China.
Front Genet. 2023 Jan 6;13:1046008. doi: 10.3389/fgene.2022.1046008. eCollection 2022.
Among central nervous system tumors, glioblastoma (GBM) is considered to be the most destructive malignancy. Recurrence is one of the most fatal aspects of GBM. However, the driver molecules that trigger GBM recurrence are currently unclear. The mRNA expression data and clinical information of GBM and normal tissues were collected from the Chinese Glioma Genome Atlas The Cancer Genome Atlas (TCGA), and REpository for Molecular BRAin Neoplasia DaTa (REMBRANDT) cohorts. The DESeq2 R package was used to identify the differentially expressed genes between primary and recurrent GBM. ClueGO, Kyoto Encyclopedia of Genes and Genomes (KEGG), Biological Process in Gene ontology (GO-BP), and the Protein ANalysis THrough Evolutionary Relationships (PANTHER) pathway analyses were performed to explore the enriched signaling pathways in upregulated DEGs in recurrent GBM. A gene list that contained potential oncogenes that showed a significant negative correlation with patient survival from The Cancer Genome Atlas was used to further screen driver candidates for recurrent GBM. Univariate Cox proportional hazards regression analyses were used to investigate the risk score for the mRNA expression of the candidates. Single-cell RNA sequencing (scRNA-Seq) analyses were used to determine the cell type-specific distribution of Fc gamma receptor II b (FcγRIIb) in GBM. Immunohistochemistry (IHC) was used to confirm the FcγRIIb-positive cell populations in primary and paired recurrent GBM. Through DEG analysis and overlap analysis, a total of 10 genes that are upregulated in recurrent GBM were screened. Using validation databases, FcγRIIb was identified from the 10 candidates that may serve as a driver for recurrent GBM. expression, not mutation, further showed a highly negative correlation with the poor prognosis of patients with recurrent GBM. Furthermore, scRNA-Seq analyses revealed that tumor-associated macrophage- and dendritic cell-specific FCGR2B was expressed. Moreover, FcγRIIb also showed a strong positive correlation coefficient with major immune-associated signaling pathways. In clinical specimens, FcγRIIb-positive cell populations were higher in recurrent GBM than in primary GBM. This study provides novel insights into the role of FcγRIIb in recurrent GBM and a promising strategy for treatment as an immune therapeutic target.
在中枢神经系统肿瘤中,胶质母细胞瘤(GBM)被认为是最具破坏性的恶性肿瘤。复发是GBM最致命的方面之一。然而,目前尚不清楚引发GBM复发的驱动分子。从中国胶质瘤基因组图谱、癌症基因组图谱(TCGA)和分子脑肿瘤数据储存库(REMBRANDT)队列中收集GBM和正常组织的mRNA表达数据及临床信息。使用DESeq2 R软件包来识别原发性和复发性GBM之间的差异表达基因。进行ClueGO、京都基因与基因组百科全书(KEGG)、基因本体论中的生物过程(GO-BP)以及通过进化关系进行蛋白质分析(PANTHER)通路分析,以探索复发性GBM中上调的差异表达基因中富集的信号通路。使用一份包含与癌症基因组图谱中患者生存呈显著负相关的潜在癌基因的基因列表,进一步筛选复发性GBM的驱动候选基因。单因素Cox比例风险回归分析用于研究候选基因mRNA表达的风险评分。单细胞RNA测序(scRNA-Seq)分析用于确定Fcγ受体II b(FcγRIIb)在GBM中的细胞类型特异性分布。免疫组织化学(IHC)用于确认原发性和配对复发性GBM中FcγRIIb阳性细胞群体。通过差异表达基因分析和重叠分析,共筛选出10个在复发性GBM中上调的基因。使用验证数据库,从这10个候选基因中鉴定出FcγRIIb可能作为复发性GBM的驱动基因。其表达而非突变,进一步显示与复发性GBM患者的不良预后高度负相关。此外,scRNA-Seq分析显示肿瘤相关巨噬细胞和树突状细胞特异性的FCGR2B有表达。而且,FcγRIIb与主要免疫相关信号通路也显示出很强的正相关系数。在临床标本中,复发性GBM中FcγRIIb阳性细胞群体高于原发性GBM。本研究为FcγRIIb在复发性GBM中的作用提供了新见解,并为作为免疫治疗靶点的治疗提供了有前景的策略。