Ren Changyuan, Chang Xin, Li Shouwei, Yan Changxiang, Fu Xiaojun
Sanbo Brain Hospital, Capital Medical University, No. 50, Yikesong Road, Xiangshan, Haidian District, Beijing 100093, China.
Brain Sci. 2023 Mar 5;13(3):447. doi: 10.3390/brainsci13030447.
Glioma is the primary tumor with the highest incidence and the worst prognosis in the human central nervous system. Epithelial-mesenchymal transition (EMT) and immune responses are two crucial processes that contribute to it having the worst prognosis. However, a comprehensive correlation between these two processes remains elusive. The mRNA expression profiles and corresponding clinical data of patients with glioma were downloaded from public databases. EMT-related genes were collected and provided in the dbEMT database. Risk scores, Lasso regression, and enrichment analysis were conducted for functional validation. In our study, we used unsupervised clustering of EMT gene expression profiles to classify gliomas into two subtypes. We assessed the reliability of this classification system by testing it in three independent cohorts. Each subtype had different clinical and immune system characteristics. The study suggests a possible link between EMT and immune responses in gliomas.
胶质瘤是人类中枢神经系统中发病率最高且预后最差的原发性肿瘤。上皮-间质转化（EMT）和免疫反应是导致其预后最差的两个关键过程。然而，这两个过程之间的全面相关性仍不清楚。从公共数据库下载了胶质瘤患者的mRNA表达谱和相应的临床数据。收集了与EMT相关的基因并在dbEMT数据库中提供。进行风险评分、套索回归和富集分析以进行功能验证。在我们的研究中，我们使用EMT基因表达谱的无监督聚类将胶质瘤分为两个亚型。我们通过在三个独立队列中进行测试来评估该分类系统的可靠性。每个亚型都有不同的临床和免疫系统特征。该研究表明胶质瘤中EMT与免疫反应之间可能存在联系。
