基于多组学整合分析瞬时受体电位通道在肝癌发生发展中的分子分型及机制OA
Typing analysis and mechanism study of transient receptor potential channel in hepatocellular carcinoma based on multi-omics integration
目的 探究瞬时受体电位(TRP)通道在肝细胞癌(HCC)发生发展中的生物学机制及治疗潜力.方法 整合TCGA、MsigDB、KEGG和Genecards数据库筛选TRP通道差异基因,结合无监督聚类鉴定分子亚型.采用单变量Cox和LASSO回归构建HCC预后模型,经Bootstrap重抽样(1 000次)及外部队列验证.通过CIBERSORT算法评估免疫细胞浸润程度,并分析TRP预后风险评分(TRPRS)与免疫检查点分子表达的相关性.结合药物敏感性预测和拷贝数变异分析,评估预后模型临床关联性.通过qRT-PCR检测关键基因(GHR,KCNJ11)在肝癌细胞系MHCC-97H和正常肝细胞LO2中mRNA转录水平,考马斯亮蓝染色法检测其蛋白表达水平,以验证关键基因在肝癌细胞中的表达变化.结果 共鉴定出93个TRP通道差异基因,基于无监督聚类将其划分为2种分子亚型(cluster 1与cluster 2).通过LASSO-Cox回归筛选核心基因GHR和KCNJ11构建预后模型,内外部队列的ROC曲线证实了该模型的可靠性(在TCGA_HCC训练集中AUC>0.7,P=0.000 14).多因素Cox分析显示,TRPRS是HCC患者在TCGA_HCC(P<0.001)、GSE76427(P=0.045)和LIRI-JP(P=0.03)队列中的独立预后因素;免疫浸润与免疫检查点分析显示TRPRS与免疫微环境特征相关,与免疫检查点CTLA4表达正相关,与CD274表达负相关(均P<0.05);药物敏感性分析表明,高TRPRS组对顺铂等化疗药物敏感性增强(P<0.001),且高TRPRS组TIDE评分更高(P=0.006 7).qRT-PCR和考马斯亮蓝染色结果显示,GHR和KCNJ11在肝癌细胞系MHCC-97H中的mRNA(均P<0.001)及总蛋白表达均显著高于正常肝细胞LO2.结论 TRP通路因子GHR和KCNJ11通过调控免疫微环境和药物敏感性参与肝癌进展,为HCC机制研究及治疗靶点筛选提供依据.
Objective To investigate the biological mechanism and therapeutic potential of transient receptor potential(TRP)channels in the occurrence and development of hepatocellular carcinoma(HCC).Methods Differential genes related to TRP pathway were screened by integrating the TCGA,MsigDB,KEGG and Genecards databases,and molecular subtypes were identified by unsuper-vised clustering.A prognostic model was constructed using univariate Cox and LASSO regression,and validated through Bootstrap resampling(1 000 times)and external cohorts.The CIBERSORT algorithm was employed to evaluate the degree of immune cell infiltration,and the correlation between TRP prognostic risk score(TRPRS)and expressions of immune checkpoint molecules was analyzed.The clinical relevance of the prognostic model was assessed by drug sensitivity prediction combined with copy number variation analysis.The mRNA transcription levels of key genes(GHR,KCNJ11)were detected in HCC cell line MHCC-97H and normal hepatocyte line LO2 by qRT-PCR,and the protein expression levels of two key genes in HCC cells were measured using Coomassie brilliant blue staining and validated.Results A total of 93 TRP-related differentially expressed genes were identified and categorized into two molecular sub-types(cluster 1 and cluster 2)based on unsupervised clustering.The core genes GHR and KCNJ11 were selected by LASSO-Cox re-gression to construct a prognostic model,and the reliability of the model was confirmed by ROC curves in both internal and external co-horts(AUC>0.7,P=0.000 14 in TCGA_HCC training cohort).Multivariate Cox analysis indicated that TRPRS was an independent prognostic factor in TCGA_HCC(P<0.001),GSE76427(P=0.045),and LIRI-JP(P=0.03)cohorts.Additionally,analyses of immune infiltration and immune checkpoints revealed that TRPRS was associated with immune microenvironment characteristics(positively cor-related with CTLA4,negatively correlated with CD274,both P<0.05).Drug sensitivity analysis demonstrated that the patients with high TRPRS had lower TIDE score(P=0.006 7),and the sensitivity to chemotherapeutic drugs such as cisplatin increased in high TRPRS group(P<0.001).Results of qRT-PCR and Coomassie brilliant blue staining showed that both the mRNA(P<0.001)and total protein expression levels of GHR and KCNJ11 were significantly higher in HCC cell line MHCC-97H than in normal hepatocyte line LO2.Conclusion The TRP pathway factors GHR and KCNJ11 are involved in the progression of HCC by regulating the immune microenvironment and drug sensitivity,which provides a basis for mechanism research and therapeutic target screening of HCC.
于奕;李菁;张泽鑫;王智槟;钟崇
湖南中医药大学第一附属医院肝胆胰疝外科,长沙 410021湖南中医药大学第一附属医院肿瘤科广州中医药大学第二临床医学院湖南中医药大学中西医结合学院广州中医药大学第一附属医院胆胰外科
医药卫生
TRP通道分子亚型预后模型肝细胞癌免疫浸润生物标志物
TRP pathwaymolecular subtypeprognostic modelhepatocellular carcinomaimmune infiltrationbiomarker
《山西医科大学学报》 2026 (3)
237-249,13
国家自然科学基金面上项目(82274526)湖南省自然青年基金资助项目(2023JJ40503)湖南省卫生健康委科研重点项目(C202203108338)
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