原文:The Long Noncoding RNA MALAT-1 is A Novel Biomarker in Various Cancers: A Meta-analysis Based on the GEO Database and Literature
2016年发表在journal of cancer, IF= 3.2
OS:over survival
RFS: recurrence-free survival
背景介绍
MALAT-1在很多癌症中均过表达,表明它可能作为biomarker。因此,作者收集了GEO数据库中的多组数据,用pooled odds ratio (OR) 和Hazard ratio (HR)表明biomarker的可信度。
数据分析流程
1)用单因素cox分析计算HR值和它们对应的95%置信区间,画生存分析曲线
2)计算得到数据的OS,DFS,RFS,临床诊断标准和其它因素。对于OS,RFS和DFS,进行异质性检测,加入两个数据之间存在很大的异质性,用随机影响模型和亚组分析
3)对于已有OS和DFS的数据,计算funnel plot
4)对于有临床病理特征的数据,将OR值和异质性检测MALAT-1表达和其它临床信息的关系
结果
作者对每个数据集进行了质量评估,根据Steels的方法。质量越高表明方法更靠谱。
实验流程作者分析了MALAT-1和survival(OS/RFS)之间的关系,绘制了生存分析曲线,得到了HR,95%CI(表1)。计算了MALAT-1和临床信息之间的OR值。
根据来源地区(亚洲,欧洲)和来源(published articles, GEO datasets)进行分析
MALAT-1 was found to be significantly associated with the OS in cancer patients based on data from published articles (pooled HR: 3.97, 95%CI: 1.68-9.42), but not based on data from the GEO database;Subgroups were analyzed based on the data resource and by considering the presence of heterogeneity. Founding association was significant between MALAT-1 and the OS of cancer patients in Asian (pooled HR: 2.06, 95%CI: 1.62-2.61) but not western (pooled HR: 1.02, 95%CI: 0.86-1.21) populations.
根据肿瘤种类进行分析
同一种肿瘤,不同来源的meta分析
不同癌症之间MALAT-1表达和临床特种之间的联系
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