Department of Nuclear Medicine, The First Affiliated Hospital of Naval Medical University, Shanghai, China.
Department of Neurosurgery & Brain and Nerve Research Laboratory, The First Affiliated Hospital of Soochow University, Suzhou, China.
Sci Rep. 2023 Aug 16;13(1):13317. doi: 10.1038/s41598-023-40425-w.
Glioblastoma (GBM) is the most aggressive and lethal primary brain tumor. Conventional treatments have not achieved breakthroughs in improving survival. Therefore, novel molecular targets and biomarkers need to be identified. As signal transduction docks on the cell membrane, tetraspanins (TSPANs) are associated with various tumors; however, research on their role in GBM remains extremely scarce. Gene expression and clinicopathological characteristic data were obtained from GEPIA, CGGA, HPA, cBioPortal, and GSCA databases to analyze the mRNA and protein expression levels, prognostic value, clinical relevance, mutation status, and targeted drug sensitivity of TSPANs in GBM. Gene set enrichment analysis (GSEA), Gene Ontology (GO), and the Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis were used for biological process enrichment. Data from TCGA and TCIA were used to construct the tumor immune microenvironment landscape of TSPANs. Different R software algorithms were used to analyze the immune score, immune cell infiltration, and immune checkpoint correlation. Univariate and multivariate analyses were performed for TSPAN4, which had the most significant predictive prognostic value, and a nomogram model was constructed to predict individual outcomes. The expression and function of TSPAN4 were verified in vitro. TSPAN3/4/6/11/12/18/23/24/25/26/27/28/29/30/31expressions were significantly upregulated in GBM, and TSPAN3/4/6/11/18/24/25/26/29/30 were strongly correlated with prognosis. The expression of multiple TSPANs significantly correlated with 1p/19q co-deletion status, IDH mutation status, recurrence, age, and tumor grade. GSEA and GO analyses revealed the potential contribution of TSPANs in cell adhesion and migration. Immune correlation analysis revealed that TSPANs are related to the formation of the GBM tumor microenvironment (TME) and may influence immunotherapy outcomes. TSPAN4 is an independent prognostic factor and TSPAN4 knockdown has been demonstrated to strongly inhibit glioma cell proliferation, invasion, and migration in vitro. We comprehensively elaborated the prognostic value and potential role of differentially expressed TSPANs in GBM, including molecules that scientists have previously overlooked. This study provides a novel and comprehensive perspective on the pathological mechanisms of GBM and the future direction of individualized tumor immunotherapy, which may be a critical link between GBM malignant progression and TME remodeling.
胶质母细胞瘤(GBM)是最具侵袭性和致命性的原发性脑肿瘤。传统治疗方法未能在提高生存率方面取得突破。因此,需要确定新的分子靶标和生物标志物。由于信号转导在细胞膜上对接,四跨膜蛋白(TSPANs)与各种肿瘤相关;然而,关于它们在 GBM 中的作用的研究仍然非常稀缺。从 GEPIA、CGGA、HPA、cBioPortal 和 GSCA 数据库中获得基因表达和临床病理特征数据,以分析 TSPANs 在 GBM 中的 mRNA 和蛋白表达水平、预后价值、临床相关性、突变状态和靶向药物敏感性。使用基因集富集分析(GSEA)、基因本体论(GO)和京都基因与基因组百科全书(KEGG)分析进行生物过程富集。使用 TCGA 和 TCIA 中的数据构建 TSPANs 的肿瘤免疫微环境图谱。使用不同的 R 软件算法分析免疫评分、免疫细胞浸润和免疫检查点相关性。对具有最显著预测预后价值的 TSPAN4 进行单变量和多变量分析,并构建预测个体结局的列线图模型。在体外验证 TSPAN4 的表达和功能。在 GBM 中,TSPAN3/4/6/11/12/18/23/24/25/26/27/28/29/30/31 的表达明显上调,TSPAN3/4/6/11/18/24/25/26/29/30 与预后强烈相关。多个 TSPAN 的表达与 1p/19q 共缺失状态、IDH 突变状态、复发、年龄和肿瘤分级显著相关。GSEA 和 GO 分析表明 TSPANs 在细胞黏附和迁移中的潜在作用。免疫相关性分析表明,TSPANs 与 GBM 肿瘤微环境(TME)的形成有关,可能影响免疫治疗的结果。TSPAN4 是一个独立的预后因素,TSPAN4 敲低在体外强烈抑制神经胶质瘤细胞的增殖、侵袭和迁移。我们全面阐述了差异表达的 TSPANs 在 GBM 中的预后价值和潜在作用,包括科学家以前忽略的分子。这项研究为 GBM 的病理机制和个体化肿瘤免疫治疗的未来方向提供了一个新的、全面的视角,这可能是 GBM 恶性进展和 TME 重塑之间的关键环节。