长链非编码RNA SFTA1P在肺腺癌中的表达及预后预测研究  

Expression of long non-coding RNA SFTA1P in lung adenocarcinoma and its predictive value for prognosis

作　　者：陈梦雷 袁帅[2] 周玫余 向颖[2] 邬娜[2] 吴龙[2] 李成英 许斌[2] 张耀[2] 蔡同建[2] 马翔宇[2] 余祖滨 白莉 杨敬源 李亚斐[2] CHEN Menglei;YUAN Shuai;ZHOU Meiyu;XIANG Ying;WU Na;WU Long;LI Chengying;XU Bin;ZHANG Yao;CAI Tongjian;MA Xiangyu;YU Zubin;BAI Li;YANG Jingyuan;LI Yafei(Department of Epidemiology,School of Public Health,Guizhou Medical University,Guiyang,Guizhou Province,550000;Department of Epidemiology,Faculty of Military Preventive Medicine,Army Medical University(Third Military Medical University),Chongqing,400038;Department of Thoracic Surgery,Second Affiliated Hospital,Army Medical University(Third Military Medical University),Chongqing,400037,China;Institute of Respiratory Diseases,Key Laboratory of Respiratory Diseases,Second Affiliated Hospital,Army Medical University(Third Military Medical University),Chongqing,400037,China)

机构地区：[1]贵州医科大学公共卫生学院流行病学教研室,贵阳550000 [2]陆军军医大学(第三军医大学)军事预防医学系军队流行病学教研室,重庆400038 [3]陆军军医大学(第三军医大学)第二附属医院胸外科,重庆400037 [4]陆军军医大学(第三军医大学)第二附属医院全军呼吸内科研究所,全军呼吸病研究重点实验室,重庆400037

出　　处：《第三军医大学学报》2020年第21期2075-2080,2115,共7页Journal of Third Military Medical University

基　　金：国家自然科学基金面上项目(81871896,81672316)。

摘　　要：目的探讨长链非编码RNA SFTA1P表达水平的变化与临床预后的关联,构建和评价SFTA1P用于肺腺癌患者预后预测的模型。方法实时荧光定量PCR检测SFTA1P在62对NSCLC组织以及相应的癌旁正常肺组织中的表达,分析SFTA1P表达水平的变化与临床预后的关联。在TCGA数据库中下载确诊为肺腺癌患者的数据集,提取所需的变量数据,整理了471例肺腺癌患者的临床参数信息和SFTA1P的表达量,利用单因素和多因素Cox比例风险回归模型筛选变量,基于最终预后预测模型构建列线图模型。预测模型进行内部验证采用Bootstrap重抽样法,采用一致性指数(concordance index,C-index)评价预测模型的区分度(discrimination),校准曲线评价模型的校准度(calibration)。结果相比于癌旁正常肺组织(1.765±0.149),SFTA1P在肺癌组织中的表达(0.692±0.103)显著下调(P<0.05)。通过单因素和多因素Cox比例风险回归模型,共筛选出3个独立的临床变量与肺腺癌患者的生存率相关,分别是病理分期、放疗和SFTA1P表达量的水平。使用这3个变量,加上年龄变量共同构建列线图模型。在1年和3年生存率校准曲线中,其预测值与实际值显示了较好的一致性。列线图模型的一致性指数C-index为0.69,95%置信区间:0.63~0.75。结论长链非编码RNA SFTA1P的表达量可以作为肺腺癌的一个独立预后因素;采用上述4个独立变量构建的列线图模型可以预测肺腺癌患者的生存率。Objective To investigate the expression of long non-coding(lnc)RNA SFTA1 P in lung adenocarcinoma,and its association with clinical prognosis in order to construct and evaluate a prognostic prediction model based on SFTA1 P.Methods Real-time fluorescence quantitative PCR was used to detect the expression of SFTA1 P in 62 pairs of non-small-cell lung cancer(NSCLC)tissues and corresponding normal lung tissues adjacent to the cancer for the association between SFTA1 P expression level and clinical prognosis.The data sets of patients diagnosed with lung adenocarcinoma were downloaded from TCGA database,the required variable data were extracted,and the clinical parameter information and SFTA1 P expression of the 471 patients with lung adenocarcinoma were sorted out.Subsequently,variables were screened using univariate and multivariate Cox proportion risk regression models,and a nomogram model was constructed based on the final prognostic prediction model.For the internal validation of the prediction model,Bootstrap resampling method was adopted,and concordance index(C-index)and calibration curve were used respectively to evaluate the discrimination and calibration of the prediction model.Results The SFTA1 P expression was significantly decreased in the lung cancer tissues than the para-cancerous tissues(0.692±0.103 vs 1.765±0.149,P<0.05).There were totally 3 selected independent clinical variables correlating to survival rates in the patients,that is,pathological stage,radiotherapy and SFTA1 P expression.In the nomogram model,the calibration curves of 1-year and 3-year survival rates showed that the predicted values had good consistency with the actual values,with a C-index of 0.69 and 95%confidence interval of 0.63~0.75.Conclusion The expression of lnc RNA SFTA1 P can be used as an independent prognostic factor for lung adenocarcinoma.The nomogram model constructed from the above independent variables(including age)can predict the survival rate of the patients.

关 键 词：非小细胞肺癌 肺腺癌 SFTA1P 预后 比例危险度模型 列线图 

分 类 号：R181.23[医药卫生—流行病学] R394.3[医药卫生—公共卫生与预防医学]