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作 者:汤倩倩 邵尤城 魏蕾[2] 张京伟[1] TANG Qian-qian;SHAO You-cheng;WEI Lei;ZHANG Jing-wei(Department of Breast and Thyroid Surgery,Zhongnan Hospital,Wuhan University,Hubei 430071,China;Department of Pathology and Pathophysiology,School of Basic Medical Sciences,Wuhan University,Hubei 430071,China)
机构地区:[1]武汉大学中南医院甲状腺乳腺外科,湖北430071 [2]武汉大学医学院病理生理学教研室,湖北430071
出 处:《中国医药生物技术》2021年第3期229-238,共10页Chinese Medicinal Biotechnology
摘 要:目的建立基于大规模自噬相关基因的luminal型乳腺癌预后预测模型。方法利用TCGA数据库乳腺癌数据,分别筛选luminal型与非luminal型乳腺癌、癌旁组织中差异表达的自噬相关基因。单因素和多因素Cox回归建立luminal型乳腺癌自噬相关基因预后模型。Kaplan-Meier曲线和生存依赖的受试者工作特征曲线评估预后模型的准确性。结果基于差异表达自噬相关基因,建立了一个3基因(BAG1、CD46、DIRAS3)预后模型预测luminal型乳腺癌患者总生存期。3年、5年和10年的曲线下面积分别为0.708、0.752和0.837。结论 3基因预后模型可以有效预测luminal型乳腺癌患者预后,或许今后可为luminal型乳腺癌的临床治疗提供决策依据。Objective To establish a prognostic model for luminal breast cancer based on large-scale autophagy-related genes.Methods We identified the differentially expressed autophagy-related genes among luminal and non-luminal breast cancers,cancer-adjacent tissues using breast cancer cohort from TCGA database,respectively.Subsequently,univariate and multivariate Cox regression were used to establish a prognostic model for luminal breast cancers based on differentially expressed autophagy-related genes.The accuracy of the prognostic model was evaluated with Kaplan-Meier curve and survival-dependent receiver operating characteristic(ROC)curves.Results 31 differentially expressed autophagy-related genes in luminal breast cancers were identified.A three-gene(BAG1,CD46,DIRAS3)prognostic model was established to predict the overall survival(OS)of patients with luminal breast cancer.Furthermore,the area under the curve(AUC)at 3-,5-and 10-years were 0.708,0.752 and 0.837,respectively.Conclusion The three-gene prognostic model can effectively predict the prognosis of patients with luminal breast cancer,and may provide decision-making basis for clinical treatment of luminal breast cancers in the future.
关 键 词:luminal型乳腺癌 内分泌耐药 自噬 预后模型
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