Tang Hui, Yang Xuping, Li Guoqian, Peng Ke, Sun Yang, Jiang Longyang, Huang Yilan
Department of Pharmacy, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
School of Pharmacy, Southwest Medical University, Luzhou, China.
Front Immunol. 2025 Jan 3;15:1488894. doi: 10.3389/fimmu.2024.1488894. eCollection 2024.
Gliomas are common aggressive brain tumors with poor prognosis. Dephosphorylation-related biomarkers are in a void in gliomas. This study aims to construct a validated prognostic risk model for dephosphorylation, which will provide new directions for clinical treatment, prognostic assessment, and temozolomide (TMZ) resistance in glioma patients.
Screening dephosphorylation-related genes (DRGs) and transcriptome expression data from The Cancer Genome Atlas (TCGA), Molecular signatures database (MSigDB) and constructing risk scoring models. Kaplan-Meier (K-M), nomogram and ROC curve were used to assess the predictive efficacy of the model. Gene set enrichment analysis (GSEA), immune cell infiltration, immunotherapy response and chemotherapeutic drug sensitivity analysis were performed in this study. The correlation between chemotherapeutic drugs and the half maximal inhibitory concentration (IC) values of 12 DRGs was analyzed. Cell division cycle 25A (CDC25A) and TMZ were screened and verified by experiments. Quantitative Real-Time PCR (qRT-PCR) detection of mRNA expression of 12 genes in human normal glial cells and two glioma cell lines. Transfection techniques overexpressed and knocked down CDC25A. qRT-PCR and Western Blot (WB) were used to detect the mRNA and protein expression levels of CDC25A. Subsequently, verify the effect of CDC25A on TMZ resistance in glioma cells.
The model established in this study was able to accurately predict the prognosis of glioma patients. Besides, there were significant differences in GSEA, immune cell infiltration, immunotherapeutic response and chemotherapeutic drug sensitivity analysis between glioma patients in the high and low risk groups. The results of CCK8 experiments showed that overexpression of CDC25A increased the susceptibility of U251 and LN229 cells to TMZ, and knockdown of CDC25A attenuated the susceptibility of U251 and LN229 cells to TMZ.
胶质瘤是常见的侵袭性脑肿瘤,预后较差。去磷酸化相关生物标志物在胶质瘤研究中尚属空白。本研究旨在构建一个经过验证的去磷酸化预后风险模型,为胶质瘤患者的临床治疗、预后评估和替莫唑胺(TMZ)耐药性提供新的方向。
从癌症基因组图谱(TCGA)、分子特征数据库(MSigDB)筛选去磷酸化相关基因(DRGs)和转录组表达数据,并构建风险评分模型。采用Kaplan-Meier(K-M)法、列线图和ROC曲线评估模型的预测效能。进行基因集富集分析(GSEA)、免疫细胞浸润、免疫治疗反应和化疗药物敏感性分析。分析化疗药物与12个DRGs的半数最大抑制浓度(IC)值之间的相关性。通过实验筛选并验证细胞分裂周期25A(CDC25A)和TMZ。采用定量实时荧光定量PCR(qRT-PCR)检测人正常神经胶质细胞和两种胶质瘤细胞系中12个基因的mRNA表达。运用转染技术过表达和敲低CDC25A。采用qRT-PCR和蛋白质免疫印迹法(WB)检测CDC25A的mRNA和蛋白质表达水平。随后,验证CDC25A对胶质瘤细胞TMZ耐药性的影响。
本研究建立的模型能够准确预测胶质瘤患者的预后。此外,高低风险组胶质瘤患者在GSEA、免疫细胞浸润、免疫治疗反应和化疗药物敏感性分析方面存在显著差异。CCK8实验结果表明,过表达CDC25A可增加U251和LN229细胞对TMZ的敏感性,敲低CDC25A可减弱U251和LN229细胞对TMZ的敏感性。