检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:钮瞭然 杨万里 王晓谦 段理理 李一丁 张玉洁 周威 柳金强 洪流 NIU Liaoran;YANG Wanli;WANG Xiaoqian;DUAN Lili;LI Yiding;ZHANG Yujie;ZHOU Wei;LIU Jinqiang;HONG Liu(State Key Laboratory of Cancer Biology and National Clinical Research Center for Digestive Diseases,Xijing Hospital of Digestive Diseases,Fourth Military Medical University,Shaanxi Xi'an 710032,China)
机构地区:[1]空军军医大学西京消化病医院,肿瘤生物学国家重点实验室,国家消化系统疾病临床医学研究中心,陕西西安710032
出 处:《现代肿瘤医学》2021年第17期3043-3048,共6页Journal of Modern Oncology
基 金:国家自然科学基金(编号:82073210);陕西省科学基金(编号:2019ZDLSF01-02-01)。
摘 要:目的:寻找胰腺导管腺癌(pancreatic duct adenocarcinoma,PDAC)理想的预后生物标志物及预测预后的危险因素。方法:从癌症基因组图谱(TCGA)数据库下载了ARGs的表达谱和PDAC患者的临床数据。通过Wilcoxon秩和检验鉴定出具有明显差异的自噬相关基因(SD-ARGs)。借助单因素Cox回归和多因素Cox回归来建立ARGs的预后模型。利用卡普兰-米耶(K-M)曲线和观察者特性(ROC)曲线评估模型,进行了GO和KEGG富集分析,以探索潜在的信号通路和分子机制。此外,本研究进一步揭示了ARGs与临床特征之间的关系。结果:筛选出12种SD-ARGs。利用多元Cox回归确定了3个SD-ARGs作为构建模型以计算风险评分和预测患者预后的基础,而计算出的风险评分可能作为PDAC的独立预后因素。K-M曲线、ROC曲线在一定程度上证实了构建的模型预测PDAC患者的总生存期(OS)的有效性。结论:本研究借助筛选的SD-ARGs构建了预测PDAC患者的预后模型。该模型还需经过进一步验证,其可能作为预测PDAC患者OS的可靠工具。Objective:To identify the promising prognostic biomarkers,and to predict the risk factors of prognosis for the PDAC.Methods:We downloaded expression profiles of ARGs and clinical data of PDAC patients from The Cancer Genome Atlas(TCGA)database.Significantly different autophagy-related genes(SD-ARGs)were identified by Wilcoxon signed-rank test.Univariate Cox regression and multivariate Cox regression were conducted to develop the prognostic model by ARGs.The Kaplan-Meier(K-M)curve and receiver operating characteristic(ROC)curve were used to evaluate the model.GO and KEGG enrichment analyses were performed to explore potential signaling pathways and molcular mechanisms.Besides,the relation between ARGs and clinical features was investigated.Results:12 SD-ARGs were obtained.Three SD-ARGs were identified as the appropriate targets to develop the prognostic prediction model.The risk score was revealed as an independent prognostic factor.The K-M curve and the ROC curve partly confirmed the efficiency of the risk score to predict overall survival(OS)of patients with PDAC.Conclusion:We developed a prognostic model by SD-ARGs in PDAC.The model is further validated to be a reliable tool for prediction of OS in PDAC patients.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.145