Wang Dailian, Chen Zhicong, Xu Haidan, He Anbang, Liu Yuchen, Huang Weiren
Key Laboratory of Medical Reprogramming Technology, Shenzhen Second People's Hospital, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China.
Guangzhou Medical University, Guangzhou, Guangdong ,China.
Oncotarget. 2017 May 24;8(43):75664-75674. doi: 10.18632/oncotarget.18161. eCollection 2017 Sep 26.
Colon cancer-associated transcript2 (CCAT2), a long noncoding RNA (LncRNA), has been found to function as an oncogene in various cancers. However, the clinical value of CCAT2 in cancers remains unclear. Therefore, we performed this meta-analysis to investigate the association between CCAT2 level and metastasis & prognosis in malignant tumors. The meta analysis was performed by using a systematic search in PubMed, Web of Science, and Cochrane Library from inception to NOV 17, 2016. According to the inclusion and exclusion criteria,9 studies with 1084 patients were included in the meta-analysis.The result showed that overexpression of CCAT2 is positively correlated with lymph node metastasis (Odds ratio,OR=3.57, 95 % confidence interval(CI): 1.79-7.13, <0.001) in a random-effects model (I=71%, =0.008) and distant metastasis(OR=7.68, 95 % CI: 3. 29-17.96, <0.001) in a random-effects model (I=41.9%, =0.16).Likewise,we also found that high CCAT2 expression could predict unfavourable overall survival with pooled hazard ratio (HR) of 2.23 (95 % CI 1.68-2.96, <0.00001) by a random-effects model (I=37.5%, =0.143) and poor metastasis-free survival in cancer patients (HR= 2.08, 95%CI:1.37-3.18 =0.001) by a fixed-effects model (I=0.0%, =0.807). In conclusion,CCAT2 might be served as a novel molecular marker for predicting metastasis and prognosis in various human-cancers.
结肠癌相关转录本2(CCAT2)是一种长链非编码RNA(LncRNA),已发现在多种癌症中发挥癌基因的作用。然而,CCAT2在癌症中的临床价值仍不清楚。因此,我们进行了这项荟萃分析,以研究CCAT2水平与恶性肿瘤转移及预后之间的关联。通过对PubMed、科学网和考克兰图书馆从创刊到2016年11月17日进行系统检索来开展荟萃分析。根据纳入和排除标准,9项研究共1084例患者被纳入荟萃分析。结果显示,在随机效应模型(I² = 71%,P = 0.008)中,CCAT2过表达与淋巴结转移呈正相关(优势比,OR = 3.57,95%置信区间(CI):1.79 - 7.13,P < 0.001),在随机效应模型(I² = 41.9%,P = 0.16)中与远处转移呈正相关(OR = 7.68,95%CI:3.29 - 17.96,P < 0.001)。同样,我们还发现,通过随机效应模型(I² = 37.5%,P = 0.143),高CCAT2表达可预测总体生存率不佳,合并风险比(HR)为2.23(95%CI 1.68 - 2.96,P < 0.00001),通过固定效应模型(I² = 0.0%,P = 0.807),可预测癌症患者无转移生存期较差(HR = 2.08,95%CI:1.37 - 3.18;P = 0.001)。总之,CCAT2可能作为预测各种人类癌症转移和预后的新型分子标志物。