Jing Wei, Li Xiaogai, Peng Ruoyu, Lv Shaogang, Zhang Yan, Cao Zheng, Tu Jiancheng, Ming Liang
Department of Clinical Laboratory, The First Affiliated Hospital of Zhengzhou University, Key Laboratory of Laboratory Medicine of Henan, Zhengzhou 450000, China.
Department of Laboratory Medicine, Clinical Laboratory Medicine and Center for Gene Diagnosis, Zhongnan Hospital of Wuhan University, Wuhan, 430071, China.
Pathol Res Pract. 2018 Mar;214(3):327-334. doi: 10.1016/j.prp.2018.01.008. Epub 2018 Feb 2.
Thyroid cancer (TC) is the most common malignant endocrine-related cancer with an increasing trend worldwide. Therefore, it's in urgent need to find new markers for prognosis and diagnosis. Many long noncoding RNAs (lncRNAs) have been reported to be aberrantly expressed in TC, and may serve as biomarkers. Therefore, we performed this meta-analysis to systematically summarize the relationship between lncRNA expressions and TC.
Sources from PubMed, Embase and Web of Science were searched. A total of 16 eligible studies including 15 on clinicopahology, 5 on prognosis and 6 on diagnosis were enrolled in our meta-analysis. Revman5.3 and Stata11.0 Software were used to conduct the meta-analysis.
For diagnostic value, lncRNAs could discriminate between TC and the normal, and yield a high overall sensitivity and specificity (0.80, 95% CI: 0.75-0.84; 0.80, 95% CI: 0.70-0.87). Meanwhile, their sensitivity and specificity were 0.74 (95% CI: 0.59-0.85) and 0.81 (95% CI: 0.73-0.88) respectively, when used to differentiate patients with lymph node metastasis (LNM) from without LNM. The summary receiver operator characteristic curve (sROC) showed that lncRNAs could be considered as valuable diagnostic markers for distinguishing TC patients from the normal (AUC = 0.84) and TC patients with LNM from TC patients without LNM (AUC = 0.85).
In summary, our meta-analysis suggested that lncRNAs could function as potential diagnostic markers for TC and predict the LNM. In addition, the systematic review elaborated that lncRNAs might be as prognostic indicators in TC.
甲状腺癌（TC）是最常见的恶性内分泌相关癌症，在全球呈上升趋势。因此，迫切需要寻找新的预后和诊断标志物。许多长链非编码RNA（lncRNAs）已被报道在TC中异常表达，并可能作为生物标志物。因此，我们进行了这项荟萃分析，以系统总结lncRNA表达与TC之间的关系。
检索了PubMed、Embase和Web of Science数据库。共有16项符合条件的研究纳入我们的荟萃分析，其中15项关于临床病理学，5项关于预后，6项关于诊断。使用Revman5.3和Stata11.0软件进行荟萃分析。
对于诊断价值，lncRNAs可区分TC与正常组织，总体敏感性和特异性较高（0.80，95%CI：0.75-0.84；0.80，95%CI：0.70-0.87）。同时，当用于区分有淋巴结转移（LNM）和无LNM的患者时，其敏感性和特异性分别为0.74（95%CI：0.59-0.85）和0.81（95%CI：0.73-0.88）。汇总的受试者工作特征曲线（sROC）显示，lncRNAs可被视为区分TC患者与正常人群（AUC = 0.84）以及区分有LNM的TC患者与无LNM的TC患者的有价值诊断标志物（AUC = 0.85）。
总之，我们的荟萃分析表明，lncRNAs可作为TC的潜在诊断标志物并预测LNM。此外，系统评价阐述了lncRNAs可能作为TC的预后指标。
