Huang Jing-Tao, Liu Song-Mei, Ma Haiqing, Yang Ying, Zhang Xuan, Sun Huanhuan, Zhang Xiaoyan, Xu Jianqing, Wang Jin
Center for Gene Diagnosis, Zhongnan Hospital of Wuhan University, Wuhan, Hubei, P. R. China.
Department of Oncology, The Fifth Affiliated Hospital of Sun Yat-Sen University, Zhuhai, Guangdong, P. R. China.
J Cell Physiol. 2016 Feb;231(2):328-35. doi: 10.1002/jcp.25135. Epub 2015 Sep 9.
Because early-stage hepatocellular carcinoma (HCC) is difficult to diagnose using the existing techniques, identifying better biomarkers would likely improve the patients' prognoses. We performed a systematic review and meta-analysis of published studies to appraise the utility of microRNAs (miRNAs) for the early diagnosis of HCC. Pertinent literature was collected from the Medline, Embase, and Chinese National Knowledge Infrastructure databases. We analyzed 50 studies that included 3423 cases of HCC, 2403 chronic hepatic disease (CH) patients, and 1887 healthy controls in 16 articles. Summary receiver operating characteristic analyses of all miRNAs showed an area under the curve (AUC) of 0.82, with 75.8% sensitivity and 75.0% specificity in discriminating patients with HCC from healthy controls. miR-21 and miR-122 individually distinguished patients with HCC from healthy controls, with an AUC of 0.88 for miR-21 and 0.77 for miR-122. The sensitivity and specificity for miR-21 were 86.6% and 79.5%, respectively, those for miR-122 were 68.0% and 73.3%. We conclude that circulating miRNAs, particularly miR-21, and miR-122, are promising biomarkers for the early diagnosis of HCC.
由于早期肝细胞癌(HCC)难以用现有技术进行诊断,因此识别更好的生物标志物可能会改善患者的预后。我们对已发表的研究进行了系统综述和荟萃分析,以评估微小RNA(miRNA)在HCC早期诊断中的效用。从Medline、Embase和中国国家知识基础设施数据库中收集相关文献。我们分析了16篇文章中的50项研究,其中包括3423例HCC病例、2403例慢性肝病(CH)患者和1887例健康对照。所有miRNA的汇总受试者工作特征分析显示,曲线下面积(AUC)为0.82,在区分HCC患者和健康对照时,灵敏度为75.8%,特异性为75.0%。miR-21和miR-122分别能够区分HCC患者和健康对照,miR-21的AUC为0.88,miR-122的AUC为0.77。miR-21的灵敏度和特异性分别为86.6%和79.5%,miR-122的灵敏度和特异性分别为68.0%和73.3%。我们得出结论,循环miRNA,特别是miR-21和miR-122,是HCC早期诊断中有前景的生物标志物。