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Diagnostic Value of Salivary miRNA in Head and Neck Squamous Cell Cancer: Systematic Review and Meta-Analysis

Journal

Publisher

MDPI
DOI: 10.3390/ijms22137026

Keywords

miRNA; head and neck; cancer; biomarker; saliva; systemic review; meta-analysis

Funding

  1. National Research Foundation of Korea (NRF) - Korea government (MSIT) [2020R1F1A1069338]
  2. National Research Foundation of Korea [2020R1F1A1069338] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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Several studies have shown that salivary miRNA has potential as a diagnostic marker for HNSCC. This meta-analysis found that salivary miRNA has moderate accuracy in diagnosing HNSCC, with a promising diagnostic potential that requires further validation in large-scale prospective studies.
Several studies have highlighted the diagnostic potential of salivary microRNA (miRNA) in head and neck squamous cell cancer (HNSCC). The purpose of this meta-analysis was to summarize published studies and evaluate the diagnostic accuracy of salivary miRNA in HNSCC detection. In this meta-analysis, we systematically searched PubMed, EMBASE, and Cochrane Library databases for studies on miRNA and HNSCC diagnosis. Pooled sensitivity, specificity, and diagnostic odds ratio (DOR) with a summary receiver-operating characteristic curve were calculated using a bivariate random-effect meta-analysis model. Furthermore, subgroup analyses were conducted to explore the main sources of heterogeneity. Seventeen studies from ten articles, including 23 miRNA and a total of 759 subjects, were included in this meta-analysis. The pooled sensitivity and specificity of salivary miRNA in the diagnosis of HNSCC were 0.697 (95% CI: 0.644-0.744) and 0.868 (95% CI: 0.811-0.910), respectively. The overall area under the curve was 0.803 with a DOR of 12.915 (95% CI: 9.512-17.534). Salivary miRNAs are a promising non-invasive diagnostic biomarker with moderate accuracy for HNSCC. These results must be verified by large-scale prospective studies.

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