整合素αV在胃癌中的表达及对胃癌患者生存的预测价值  

Expression of integrinαV in gastric cancer and its predictive value for survival of gastric cancer patients

作　　者：徐园 虞伟明[1] 张苗尊 贾黎华 XU Yuan;YU Weiming;ZHANG Miaozun;JIA Lihua(Department of Gastrointestinal Surgery,Ningbo Medical Center Lihuili Hospital,Ningbo 315211,China;不详)

机构地区：[1]宁波市医疗中心李惠利医院胃肠外科,315211 [2]金华市中医院外科

出　　处：《浙江医学》2024年第12期1245-1251,1285,I0004,共9页Zhejiang Medical Journal

基　　金：浙江省医药卫生科技计划项目(2022KY1091)。

摘　　要：目的探讨整合素αV(ITGAV)在胃癌中的表达及生物学功能,并构建用于预测胃癌患者预后的列线图预测模型。方法使用癌症基因组图谱数据库获取胃癌患者的临床病理资料。采用GEPIA和Ualcan数据库检测ITGAV在胃癌中的表达水平。回顾性选取2022年11月至2023年5月在宁波市医疗中心李惠利医院行根治性胃癌切除术的20例胃癌患者的手术标本。采用免疫组化和qRT-PCR法验证ITGAV在胃癌中的表达水平。通过GEPIA、Ualcan和TIMER等数据库研究ITGAV表达水平与胃癌患者预后之间的关系。此外建立列线图预测模型评估ITGAV对胃癌患者生存的预测效能。通过一致性指数和ROC曲线检验该模型的预测性能。通过基因本体论(GO)和京都基因与基因组百科全书(KEGG)富集分析ITGAV对潜在生物学功能和信号通路的影响。结果生物信息学数据显示,ITGAV在胃癌中呈现高表达。免疫组化和qRT-PCR法验证了ITGAV在胃癌中高表达。GEPIA、Ualcan和TIMER数据库显示ITGAV高表达与胃癌患者预后不良密切相关(均P<0.05)。单因素和多因素Cox回归分析显示ITGAV高表达是影响胃癌患者预后的独立危险因素之一(P<0.05)。列线图预测模型显示预测性能良好,ROC曲线分析结果显示,1、3、5年总生存率的AUC值分别为0.733、0.833、0.880。一致性指数为0.732,均提示具有较好的预测性能。GO分析表明,ITGAV主要富集于整合素介导的细胞黏附、细胞迁移和细胞黏附等相关生物过程中。KEGG通路分析显示,ITGAV主要富集于细胞外基质受体相互作用、局灶黏附、磷脂酰肌醇3激酶/蛋白激酶B信号通路等。结论ITGAV可作为评估胃癌患者预后的有效生物标志物,将有助于临床医生作出相关决策。Objective To investigate the expression and biological functions of integrinαV(ITGAV)in gastric cancer(GC),and construct a nomogram prediction model for the prognosis of GC patients.Methods The clinical information of GC patients were acquired from The Cancer Genome Atlas database,the expression level of ITGAV in GC was obtained from GEPIA and Ualcan databases.Twenty GC patients who underwent gastrectomy in Ningbo Medical Center Lihuili Hospital from November 2022 to May 2023 were retrospectively selected.Immunohistochemistry(IHC)and qRT-PCR were applied to detect the expression level of ITGAV in GC.The relationship between the expression level of ITGAV and the prognosis of GC patients was explored form GEPIA,Ualcan and TIMER databases.A nomogram model was established to evaluate the predictive efficacy of ITGAV on the survival of GC patients.Consistency index and receiver operating characteristic(ROC)curve were used to assess the predictive performance of the model.Gene ontology(GO)and Kyoto encyclopedia of genes and genomes(KEGG)pathway enrichment analysis were performed to investigate the biological functions and signaling pathways of ITGAV.Results Bioinformatic data indicated that ITGAV was highly expressed in GC.IHC and qRT-PCR results of clinical samples validated the result.GEPIA,Ualcan and TIMER databases revealed that the high expression of ITGAV was closely related to the poor prognosis of GC patients(all P<0.05).Univariate and multivariate Cox analysis revealed that high expression of ITGAV was a risk factor affecting the prognosis of GC patients(P<0.05).The nomogram prediction model showed good prediction performance,and ROC curve analysis showed that the AUC values of 1-,3-and 5-year survival rates were 0.733,0.833 and 0.880,respectively.The consistency index was 0.732,which indicated high predictive value of the model.GO analysis showed that ITGAV was mainly concentrated in integrin-mediated cell adhesion,cell migration and cell adhesion.KEGG pathway analysis showed that ITGAV was mainly concentrat

关 键 词：整合素ΑV 胃癌 列线图 预后 

分 类 号：R735.2[医药卫生—肿瘤]