Literature DB >> 25159040

Diagnostic value of circulating microRNAs for gastric cancer in Asian populations: a meta-analysis.

Lihua Liu1, Shan Wang, Xiutang Cao, Jianchao Liu.   

Abstract

Gastric cancer (GC) accounts for one of the highest mortality worldwide and particularly in East Asia. Many studies have reported on the potential value of microRNAs (miRNAs) detection for diagnosing GC, but their results have proven inconclusive. The present meta-analysis was conducted to assess the diagnostic value of circulating miRNAs for GC diagnosis. A literature search was carried out in databases (PubMed, Embase, Web of Science, The Cochrane Library, and CNKI) and other sources using combinations of keywords relating to GC, miRNAs, and diagnosis. The values of sensitivity, specificity, positive likelihood ratios (PLR), negative likelihood ratios (NLR), and diagnostic odds ratio (DOR) reported in individual studies were pooled using random-effects models. Potential sources of heterogeneity were assessed with subgroup and meta-regression analyses. The summary receiver operating characteristic (SROC) curve and the area under the curve (AUC) were used to assess the diagnosis accuracy of miRNAs. This meta-analysis included 1,279 patients with GC and 954 healthy controls from 20 publications. The pooled sensitivity, specificity, PLR, NLR, DOR, and AUC were 0.78 (95 % CI: 0.73-0.81), 0.80 (95 % CI: 0.76-0.84), 4.0 (95 % CI: 3.1-6.0), 0.28 (95 % CI: 0.23-0.34), 14 (95 % CI: 10-21), and 0.86 (95 % CI: 0.83-0.89), respectively. Subgroup analyses showed that early stages (I and II) GC were more easily detected than later stages and that multiple miRNAs assays were more accurate than single miRNA assays. Our meta-analysis suggests that miRNAs have a high diagnostic value for GC, especially in its early stages (I and II). In addition, multiple miRNAs assays have a better diagnosis value than single miRNA assays. In conclusion, circulating miRNAs might be used as noninvasive biomarkers for the confirmation of GC detection in Asian populations.

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Year:  2014        PMID: 25159040     DOI: 10.1007/s13277-014-2498-4

Source DB:  PubMed          Journal:  Tumour Biol        ISSN: 1010-4283


  42 in total

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  9 in total

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