摘要
[目的]系统评价ddPCR法检测NSCLC患者血液EGFR基因突变的准确性。[方法]检索PubMed、Embase、Web of Science、the Cochrance Libarary、CNKI、万方、维普等数据库,搜集国内外公开发表的有关ddPCR检测NSCLC血液EGFR基因突变的诊断性研究,检索时限从建库到2018年9月。由2名评价员按纳入、排除标准独立进行文献筛选、提取资料,并评价纳入文献的偏倚风险,采用Review Manager 5.3软件和Meta-disc 14软件进行Meta分析。[结果]最终纳入10项诊断性研究,共计915例NSCLC患者。Meta分析结果显示,ddPCR对NSCLC血液EGFR T790M、19-del+L858R、19-del、L858R检测的平均灵敏度分别为0.71(0.59～0.81)、0.67 (0.61～0.73)、0.71 (0.64～0.77)和0.71 (0.63～0.78);此外,平均特异性分别为0.79(0.66～0.89)、0.95 (0.92～0.97)、0.99 (0.98～1.00)和0.99 (0.97～1.00)。[结论] ddPCR法检测NSCLC患者血液EGFR基因突变具有较高的灵敏度和特异性,可作为肿瘤组织缺失时的替代检测方法。
[Purpose]To systematical evaluate the accuracy of ddPCR method for detection of EGFR gene mutations in blood samples of patients with non-small cell lung cancer(NSCLC).[Methods]Database including Pubmed,Web of Science,EMBASE,the Cochrance Library,CNKI,Wanfang were searched from inception to September 2018 to collect the diagnostic studies of detection of blood EGFR gene mutations in NSCLC patients by ddPCR.Two reviewers independently screened literature according to the inclusion and exclusion criteria,extracted date and assessed the risk of bias of included studies.Review Manager 5.3 and Meta-disc 14 software were used for the Meta-analysis.[Results]A total of 10 studies involving 915 patients with NSCLC were finally included.Meta-analysis showed that the average sensitivity of ddPCR for detection of EGFR T790M,19-del+L858R,19-del and L858R mutations in blood samples of NSCLC patients were 0.71(0.59~0.81),0.67(0.61~0.73),0.71(0.64~0.77)and 0.71(0.63~0.78),respectively.The average specificity were 0.79(0.66~0.89),0.95(0.92~0.97),0.99(0.98~1.00)and 0.99(0.97~1.00),respectively.[Conclusion]The ddPCR method has high sensitivity and specificity for detection of blood EGFR gene mutations in NSCLC patients,which can be used as an alternative detection method instead of using tumor tissue samples.
作者
袁世洋
彭赖水
谢军平
邹叶青
YUAN Shi-yang;PENG Lai-shui;XIE Jun-ping;ZOU Ye-qing(The Second Affiliated Hospital of Nanchang University,Nanchang 330006,China;Jiangxi Provincial Key Laboratory of Molecular Medicine,The Second Affiliated Hospital of Nanchang University,Nanchang 330006,China)
出处
《中国肿瘤》
CAS
CSCD
北大核心
2019年第6期461-469,共9页
China Cancer
基金
江西省科技厅重点研发项目(20171BBG70123)
江西省科技厅对外合作项目(20161BBH80077)
关键词
肺肿瘤
微滴数字PCR
表皮生长因子受体
META分析
lung neoplasms
droplet digital PCR(ddPCR)
epidermal growth factor receptor(EGFR)
Meta-analysis
