基于生物信息学构建子宫内膜癌类泛素化相关基因的预后模型  

Constructing a prognostic model for sumoylation related genes in endometrial cancer based on bioinformatics

作　　者：范裕裕 索玉平[1] 晋雨楠 武霞 FAN Yuyu;SUO Yuping;JIN Yunan;WU Xia(Department of the Obstetrics and Gynecology,Shanxi Provincial People's Hospital,Shanxi Medical University,Taiyuan,Shanxi 030012,China)

机构地区：[1]山西医科大学附属山西省人民医院妇产科,山西太原030012

出　　处：《安徽医药》2024年第11期2173-2178,I0006,I0007,共8页Anhui Medical and Pharmaceutical Journal

基　　金：国家自然科学基金资助项目(61975105)。

摘　　要：目的探讨类泛素化(SUMO)对子宫内膜癌(UCEC)病人预后及肿瘤免疫微环境的影响。方法自2024年1―2月,TCGA数据库与GeneCards数据库筛选SUMO相关差异基因(SRGs);功能富集分析确定生物学功能;构建蛋白质相互作用网络筛选Hub基因;通过单因素Cox回归、Lasso回归分析逐步筛选预后基因并构建生存预后模型,按病人的风险评分中位数将其分成高、低风险两组。通过Kaplan-Meier生存分析和ROC曲线评价模型的预测性能,结合临床指标建立Nomogram列线图。结合ESTIMATE算法分析SUMO相关基因与肿瘤免疫微环境关系。结果共获得48个SRGs,GO和KEGG富集分析表明SRGs主要富集于与细胞核功能相关的信号通路;从SRGs中筛选出4个SUMO预后相关基因,预后模型1、3、5年依赖ROC曲线下面积(AUC)分别为0.66、0.71和0.72;Nomogram列线图的C-index为0.75,表现出良好的预测效能;高低风险评分组之间肿瘤免疫微环境差异有统计学意义。结论构建的SUMO相关基因的生存预后模型可以准确预测UCEC病人的预后。Objective To explore the effects of sumoylation(SUMO)on the prognosis and tumor immune microenvironment of endometrial cancer(UCEC)patients.Methods From January to February 2024,the TCGA database and GeneCards database were used to screen for differentially expressed genes related to SUMO(SRGs).Functional enrichment analysis was used to determine biological functions.Constructing protein interaction networks was used to screen Hub genes.Through single factor Cox regression and Lasso regression analysis,prognostic genes were gradually screened and a survival prognosis model was constructed.Patients were divided into high and low risk groups based on their median risk score.The predictive performance of the model through Kaplan Meier survival analysis and ROC curve was evaluated,and a Nomogram column chart in combination with clinical indicators was established.The relationship between SUMO related genes and tumor immune microenvironment was analyze using the ESTIMATE algorithm.Results A total of 48 SRGs were obtained,and GO and KEGG enrichment analysis showed that SRGs were mainly enriched in signaling pathways related to nuclear function.Four SUMO prognostic related genes were screened from SRGs,and the area under the ROC curve(AUC)of the prognostic models for 1,3,and 5 years were 0.66,0.71,and 0.72,respectively.The C-index of the Nomogram column chart was 0.75,demonstrating good predictive performance.There were significant differences in the tumor immune microenvironment between the high and low risk scoring groups.Conclusion The survival prognosis model of SUMO related genes constructed in this study can accurately predict the prognosis of UCEC patients.

关 键 词：子宫内膜肿瘤 类泛素化 预后模型 肿瘤免疫微环境 

分 类 号：R737.33[医药卫生—肿瘤]