Glioblastoma multiforme (GBM) is one of the most aggressive cancers with a low overall survival rate. The treatment of GBM is challenging due to the presence of the blood–brain barrier (BBB), which hinders drug delivery. Invasive procedures alone are not effective at completely removing such tumors. Hence, identifying the crucial pathways and biomarkers for the treatment of GBM is of prime importance. We conducted this study to identify the pathways associated with GBM. We used The Cancer Genome Atlas (TCGA) GBM genomic dataset to identify differentially expressed genes (DEGs). We investigated the prognostic values of the guanine nucleotide-binding protein G(i) alpha subunit (GNAI) family of genes in GBM using a Chinese Glioma Genome Atlas (CGGA) dataset. Within this dataset, we observed the association in the tumor microenvironment between the gene expression of GNAI subunit 3 (GNAI3) and a poor prognosis. MetaCore and gene ontology (GO) analyses were conducted to explore the role ofGNAI3in co-expressed genes and associated signaling pathways using a transcript analysis. Notable pathways included “Cytoskeleton remodeling regulation of actin cytoskeleton organization by the kinase effectors of Rho GTPases” and “Immune response B cell antigen receptor (BCR) pathway”. A single-cell analysis was used to assess GNAI3 expression in GBM. The results demonstrated thatGNAIfamily genes, specificallyGNAI3, were significantly associated with carcinogenesis and malignancy in GBM patients. Our findings suggest that theGNAI3gene holds potential as a prognostic biomarker for GBM.
多形性胶质母细胞瘤(GBM)是一种极具侵袭性的癌症,总体生存率较低。由于血脑屏障(BBB)的存在阻碍了药物递送,GBM的治疗面临巨大挑战。单纯依靠侵入性手术无法完全切除此类肿瘤。因此,识别治疗GBM的关键通路和生物标志物至关重要。本研究旨在识别与GBM相关的通路。我们利用癌症基因组图谱(TCGA)的GBM基因组数据集来识别差异表达基因(DEGs)。通过中国胶质瘤基因组图谱(CGGA)数据集,我们研究了鸟嘌呤核苷酸结合蛋白G(i) α亚基(GNAI)基因家族在GBM中的预后价值。在该数据集中,我们观察到肿瘤微环境中GNAI3亚基基因表达与不良预后存在关联。利用转录分析,通过MetaCore和基因本体(GO)分析探讨了GNAI3在共表达基因及相关信号通路中的作用。显著通路包括“细胞骨架重塑:Rho GTPases激酶效应物对肌动蛋白细胞骨架组织的调控”和“免疫反应:B细胞抗原受体(BCR)通路”。采用单细胞分析评估了GNAI3在GBM中的表达。结果表明,GNAI家族基因,特别是GNAI3,与GBM患者的癌变和恶性程度显著相关。我们的研究提示,GNAI3基因有潜力作为GBM的预后生物标志物。