TOP2A-TTK-KIF2C基因网络在肝细胞癌免疫微环境和靶向治疗中的作用OA
Role of TOP2A-TTK-KIF2C network in the immune microenvironment and its application in targeted therapy for hepatocellular carcinoma
目的 探讨DNA拓扑异构酶Ⅱα(TOP2A)及其关键基因TTK和KIF2C在肝细胞癌(HCC)中的表达、预后价值及其在免疫微环境和靶向治疗中的作用.方法 整合TCGA与GEO数据库分析基因表达与预后,构建蛋白质-蛋白质相互作用(PPI)网络,采用LASSO与Cox回归筛选关键基因;分析免疫浸润及药物敏感性;通过分子对接及免疫组织化学实验验证.结果 TOP2A、TTK和KIF2C在HCC中高表达,TTK和KIF2C为关键基因,风险模型受试者操作特征曲线下面积为0.745;二者高表达与CD8+T细胞浸润呈正相关,且与不良预后独立相关.突变与微卫星不稳定性呈正相关.分子对接证实Sorafenib等药物可与靶点稳定结合.结论 TOP2A-TTK-KIF2C基因网络在HCC中异常激活,与免疫微环境及靶向治疗密切相关,TTK与KIF2C是HCC潜在的生物标志物与治疗靶点.
Objective To investigate the expression and prognostic value of the DNA topoisomerase Ⅱ alpha(TOP2A)and its key genes TTK and KIF2C in hepatocellular carcinoma(HCC).We also examined their roles in the immune microenvironment and assessed their potential utility in targeted therapy.Methods To determine gene expression and prognosis,an integrated analysis of The Cancer Genome Atlas and Gene Expression Omnibus databases was performed.A PPI network was constructed,and LASSO-Cox regression was used to screen key genes.Furthermore,immune infiltration and drug sensitivity were analyzed,and molecular docking and immunohistochemistry experiments were performed for validation.Results We found that TOP2A,TTK,and KIF2C were significantly overexpressed in HCC,with TTK and KIF2C being identified as key genes with a risk model AUC of 0.745.Moreover,the high expression of these genes was posi-tively correlated with CD8+T cell infiltration and independently associated with a poor prognosis.Furthermore,mutations were positively correlated with microsatellite instability.Molecular docking confirmed that Sorafenib and other drugs could stably bind to these targets.Conclusion Our findings revealed that the TOP2A-TTK-KIF2C network is abnormally activated in HCC and is closely associated with the immune microenvironment.TTK and KIF2C were identified as potential biomarkers and therapeutic targets for the treatment of HCC.
余粲;秦志伟;承泽农;张磊;陆进
蚌埠医科大学 第一临床医学院,安徽 蚌埠 233030蚌埠医科大学 第一临床医学院,安徽 蚌埠 233030蚌埠医科大学 第一附属医院病理科,安徽 蚌埠 233030蚌埠医科大学 第二附属医院普外科,安徽 蚌埠 233030蚌埠医科大学 数字医学与智慧健康安徽省重点实验室,安徽 蚌埠 233030
医药卫生
肝细胞癌风险模型基因总生存期
hepatocellular carcinomarisk modelgeneoverall survival
《中国医科大学学报》 2026 (4)
315-322,8
安徽省高校自然科学研究重点项目(2023AH051929)安徽省大学生创新创业训练计划项目(S202410367113)
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