基于基因集合本身筛选铜死亡关键基因和构建宫颈癌预后模型  

Screening of key cuprotosis-related genes and construction of a prognostic signature for cervical cancer based on the gene set itself

作　　者：宫英丽 冯运 王雷 GONG Ying-li;FENG Yun;WANG Lei(Medical Imaging College,Qilu Medical University,Zibo 255000,China)

机构地区：[1]山东省淄博市齐鲁医药学院医学影像学院,255000

出　　处：《中国实用医药》2024年第3期168-172,共5页China Practical Medicine

基　　金：齐鲁医药学院大学生创新训练计划项目。

摘　　要：目的基于TCGA数据库,研究铜死亡相关基因在宫颈癌(CC)组织中的表达差异,构建预后模型,进行生存分析。方法通过TCGA数据库,对基因数据来源进行预处理、基因相关性和差异基因的筛选。采用Lasso函数和Cox进行回归分析,构建风险模型,计算风险得分,进行独立预后分析。最后,针对宫颈癌患者进行药物靶点预测。结果①K-M生存曲线显示,低风险组的总生存率明显高于高风险组(P<0.05)。②患者1、3、5年生存曲线下面积分别为0.630、0.675和0.686。③多因素Cox回归显示DBT可能是宫颈癌的风险因子(P<0.05)。④得到2种化合物可能是宫颈癌潜在药物活性成分。结论基于TCGA数据库成功构建宫颈癌患者预后模型,能较为准确评估患者预后,为宫颈癌的治疗提供新的思路。Objective To study the distinct expression of cuprotosis-related genes in cervical cancer(CC)tissues.A prognostic signature for survival analysis based on TCGA database is constructed.Methods The genetic data source was preprocessed,gene correlation and differential gene were screened using TCGA database.Lasso function and Cox were used for regression analysis,and risk signature was constructed,risk scores were calculated,and independent prognostic analysis was performed.Finally,drug sensitivity analysis was carried out for patients with cervical cancer.Results(i)The K-M survival curve showed that the overall survival rate of the low-risk group was significantly higher than that of the high-risk group(P<0.05).(ii)The areas under AUC survival curves were respectively 0.630,0.675 and 0.686.(iii)Multivariate Cox regression showed that DBT may be a risk factor for cervical cancer(P<0.05).(iv)2 compounds may be potential active ingredients for cervical cancer.Conclusion The prognostic signature of cervical cancer patients is successfully constructed based on TCGA database,which can accurately evaluate the prognosis of patients and provide a new method for the treatment of cervical cancer.

关 键 词：宫颈癌 铜死亡 基因模型 预后 微环境 

分 类 号：R737.33[医药卫生—肿瘤]