Long noncoding RNAs as diagnostic biomarkers for the early detection of digestive tract cancers: a systematic review and meta-analysis

ABSTRACT

BACKGROUND: long noncoding RNAs (lncRNAs) have attracted attention recently. However, many inconsistencies frequently appeared for the early diagnosis of digestive tract cancers (DTCs). We performed this meta-analysis to describe the diagnostic performance of lncRNAs in the discrimination of DTCs. METHODS: data were extracted from PubMed, Web of Science, Embase, and Cochrane Library. Their quality was evaluated using the revised Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). Such parameters as sensitivity and specificity were included for pooled analyses. The STATA 12.0 and Meta-Disc 1.4 software packages were used to perform the statistical analysis. RESULTS: sixty-nine papers were included in this meta-analysis. The pooled analysis of DTCs showed that lncRNAs had a sensitivity of 0.78 and a specificity of 0.80. The area under the summary ROC curve (AUC) was 0.86. For gastric cancer (GC), the pooled sensitivity and specificity were 0.77 (95 % CI 0.72-0.81) and 0.75 (95 % CI 0.71-0.79), respectively, and the AUC was 0.83. For colorectal cancer (CRC), these three parameters were 0.82 (95 % CI 0.76-0.86), 0.84 (95 % CI 0.79-0.88), and 0.90, respectively. For esophageal cancer (EC), sensitivity was 0.74 (95 % CI 0.67-0.80) and specificity reached 0.86 (95 % CI 0.72-0.93), with an AUC of 0.82. CONCLUSIONS: LncRNAs show potential diagnostic value for discrimination between DTCs

RESUMEN

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