摘要
目的 构建基于双硫死亡相关基因的胃癌预后预测模型。方法 首先,从TCGA数据库和GEO数据库获取转录组数据和临床数据,探索双硫死亡相关基因在胃癌组织和正常组织的表达情况及其表达对胃癌患者总生存期(overall survival,OS)的影响。之后,通过一致性聚类确定两个双硫死亡相关基因簇,利用LASSO回归进一步筛选关键基因,并采用多因素Cox比例风险回归构建OS预测模型。结果 在24个双硫死亡相关基因中,有16个在胃癌患者的表达与正常组织的差异具有统计学意义(P<0.05),单因素Cox比例风险回归结果显示有9个与OS相关(P<0.05)。使用基于24个双硫死亡相关基因的共识聚类,将所有样本分为2类,该2个聚类间有299个差异表达基因。在训练集中,利用LASSO回归确定了其中14个基因用于构建OS预测模型,计算风险评分,结果高风险组的OS差于低风险组(P<0.05),该预测模型在验证集中也有较高的曲线下面积值。结论 基于双硫死亡相关基因构建的OS预测模型可以预测胃癌患者的预后。
Objective To onstructe a prognostic model for gastric cancer based on disulfidoptosis-related genes.Methods Firstly,transcriptome data and clinical data were obtained from the TCGA and GEO databases to explore the expression of disulfidoptosis-related genes in gastric cancer tissues and normal tissues,as well as their impact on the overall survival(OS)of gastric cancer patients.Subsequently,two clusters of disulfidoptosis-related gene were determined by consensus clustering,key genes were further selected by using LASSO regression,and a multivariate Cox proportional hazards regression model was constructed to predict OS.Results Among the 24 kinds of disulfidoptosis-associated genes,16 exhibited statistically significant differences in expression between gastric cancer tissues and normal tissues(P<0.05),and results of univariate Cox proportional hazards regression model showed that 9 kinds of disulfidoptosisassociated genes were associated with OS(P<0.05).The 24 kinds of disulfidoptosis-associated genes were grouped into 2 clusters by using the consensus clustering algorithm,with 299 differentially expressed genes between the two clusters.In the training set,14 genes were determined by using LASSO regression to construct the OS prediction model,and risk scores were calculated.The OS of the high-risk group was significantly worse than that of the low-risk group(P<0.05),and this prediction model also had a high area under the curve value in the validation set.Conclusions The OS prediction model based on disulfidoptosis-associated genes can predict the prognosis of gastric cancer patients.
作者
刘硕
朱丽慧
廖天一
张翔
蔡辉
LIU Shuo;ZHU Lihui;LIAO Tianyi;ZHANG Xiang;CAI Hui(First Clinical Medical College,Lanzhou University,Lanzhou 730000,P.R.China;Clinical Center of General Surgery,Gansu Provincial Hospital,Lanzhou 730000,P.R.China;Key Laboratory of Molecular Diagnostics and Precision Medicine for Surgical Oncology in Gansu Province,Lanzhou 730000,P.R.China;School of Clinical Medicine,Ningxia Medical University,Yinchuan 750000,P.R.China)
出处
《中国普外基础与临床杂志》
CAS
2023年第11期1333-1340,共8页
Chinese Journal of Bases and Clinics In General Surgery
基金
甘肃省人民医院优秀硕/博士生培育计划(项目编号:22GSSYD-20)。
关键词
胃癌
双硫死亡
预后模型
风险评分
gastric cancer
disulfidptosis
prognostic model
risk score
