预测乳腺癌患者预后的坏死性凋亡相关基因模型的构建和验证  

Construction and validation of a necroptosis-related gene signature for predicting the prognosis of breast cancer

作　　者：李健[1] 梁雷 王颜 刘阳[4] LI Jian;LIANG Lei;WANG Yan;LIU Yang(Department of Breast Diseases,The Affiliated Taian City Central Hospital of Qingdao University,Tai'an 271000,China;Department of Obstetrics and Gynecology,The Affiliated Taian City Central Hospital of Qingdao University,Tai'an 271000,China;Department of Applied Mathematics,School of Information Science and Engineering,Shandong Agricultural University,Tai'an 271000,China;Department of Hepatobiliary Surgery,The Affiliated Taian City Central Hospital of Qingdao University,Tai'an 271000,China)

机构地区：[1]青岛大学附属泰安市中心医院乳腺疾病诊疗部,山东泰安271000 [2]青岛大学附属泰安市中心医院妇产科,山东泰安271000 [3]山东农业大学信息科学与工程学院应用数学系,山东泰安271000 [4]青岛大学附属泰安市中心医院肝胆外科,山东泰安271000

出　　处：《中国现代普通外科进展》2023年第10期781-786,共6页Chinese Journal of Current Advances in General Surgery

摘　　要：目的:构建乳腺癌坏死性凋亡相关基因的预后风险模型并验证。方法:下载癌症基因组图谱(TCGA)和基因表达综合集(GEO)的坏死性凋亡相关基因(NRGs)表达和临床数据,经过LASSO和Cox回归分析,确定基于8个NRGs(HSP90AA1,IFNAR1,IFNG,IRF9,MAPK9,SHARPIN,GLUL和JAK1)的乳腺癌预后风险模型。根据风险评分中位值将患者分为高低两组进行基因集富集分析(GSEA),生存和列线图分析验证预后模型的预测价值。结果:与低风险组相比,高风险组个体的预后较差,风险评分是乳腺癌独立的预后因素。GSEA分析表明,高风险组主要通过DNA复制、氧化磷酸化等通路促进肿瘤发生发展。校准曲线表明所构建列线图的效能较好。结论:包含8个NRGs的预后风险模型可能是乳腺癌的预后标志物和有前景的治疗靶点,可能更好为临床乳腺癌患者提供个体化治疗。Objective:To construct and validate the prognostic risk model of necroptosis-re-lated genes(NRGs)in breast cancer(BC).Method:We downloaded the expression and clinical data of NRGs from the Cancer Genome Atlas(TCGA)and Gene Expression Omnibus(GEO).After LASSO and Cox regression analysis,a new BC prognostic risk model based on eight NRGs(HSP90AA1,IFNAR1,IFNG,IRF9,MAPK9,SHARPIN,LUL and JAK1)was finally established,and then the patients were grouped by the median risk score.Gene set enrichment analysis(GSEA)was performed for the high and low groups.Survival and nomogram analysis were subsequently performed to validate the predictive value of the prognostic model.Results:According to the constructed NRGs risk model,patients were divided into high and low groups.Compared with the low-risk group,the prognosis of patients in the high-risk group was worse,and the risk score was an independent prognostic factor of BC.GSEA analysis showed that the high-risk group mainly promoted tumorigenesis and development through DNA replication,oxidative phosphorylation,protein transport and other pathways.Next,the calibration curve showed that the constructed nomogram had good efficacy.Conclusion:The prognostic risk model containing eight NRGs may be a prognostic marker of BC and a promising therapeutic target,and it may be better to provide individualized treatment for clinical BC patients.

关 键 词：乳腺癌 坏死性凋亡 TCGA 预后列线图 

分 类 号：R735.2[医药卫生—肿瘤]