J Cancer 2019; 10(3):611-619. doi:10.7150/jca.28780
Long Noncoding RNAs Serve as Potential Diagnostic Biomarkers for Colorectal Cancer
1. Department of Oncology, The First Affiliated Hospital, Yijishan Hospital of Wannan Medical College, Wuhu 241000, China
2. Department of Gastrointestinal Surgery, The First Affiliated Hospital, Yijishan Hospital of Wannan Medical College, Wuhu 241000, China
3. Hepatobiliary Center, The First Affiliated Hospital of Nanjing Medical University, Key Laboratory of Liver Transplantation, Chinese Academy of Medical Sciences, Nanjing 210029, China
* These authors contributed equally to this work.
Cai J, Zuo X, Chen Z, Zhang Y, Wang J, Wang J, Ye X, Zhao W. Long Noncoding RNAs Serve as Potential Diagnostic Biomarkers for Colorectal Cancer. J Cancer 2019; 10(3):611-619. doi:10.7150/jca.28780. Available from http://www.jcancer.org/v10p0611.htm
Background: Mounting evidence has indicated that long noncoding RNAs (lncRNAs) are promising candidates for tumor diagnosis and prognosis. Nonetheless, the significance of lncRNAs in colorectal cancer (CRC) diagnosis remains to be clarified. Here, we performed a comprehensive meta-analysis to evaluate the utility of lncRNAs as diagnostic indicators for CRC.
Materials and Methods: Pertinent studies were searched using PubMed, PMC, Web of Science, Cochrane, and EMBASE database up to September 2018. Study quality was assessed with the Quality Assessment for Studies of Diagnostic Accuracy-2. Subgroup analyses by sample size and publication year were conducted. Threshold effect and meta-regression were performed to find the origin of heterogeneity. Statistical analyses were conducted using Stata and Meta-Disc.
Results: A total of 19 studies with 3,114 individuals were enrolled in the current analysis. The overall sensitivity and specificity of lncRNAs in the diagnosis of CRC were 0.83 [95% confidence interval (CI): 0.76-0.87] and 0.84 (95% CI: 0.77-0.89), respectively. The pooled positive likelihood ratio was 5.11 (95% CI: 3.57-7.31), and the pooled negative likelihood ratio was 0.21 (95% CI: 0.15-0.28). The overall area under the curve was 0.90 (95% CI: 0.87-0.92), with a diagnostic odds ratio of 24.57 (95% CI: 14.67-41.17).
Conclusions: The accuracy of lncRNAs for CRC diagnosis is high, and lncRNAs could be functioned as promising candidates for CRC diagnosis.
Keywords: long noncoding RNA, colorectal cancer, meta-analysis, diagnosis, biomarker