Gastric Cancer and Circulating microRNAs: An Updated Systematic Review and Diagnostic Meta-Analysis

Amir Hossein Aalami, Farnoosh Aalami, Amirhossein Sahebkar

Research output: Contribution to journalReview articlepeer-review

3 Citations (Web of Science)

Abstract

Background Circulating microRNAs (miRNAs, miRs) are now used as non-invasive diagnostic indicators in various malignancies. Objective Our objective is to use a meta-analysis to assess the diagnostic performance of circulating miRNAs in gastric cancer. Methods We reviewed databases and methodically obtained papers for analysis until October 15th, 2021. The random-effect meta-analysis was performed to construct pooled diagnostic parameters. To detect the causes of heterogeneity, spearman threshold effect analysis and subgroup analysis were performed. The I-2 and Chi-square tests were also used to examine the heterogeneity. The subgroup analyses were conducted based on sample types (serum/plasma/blood), normalized genes (U6, miR-16, and miR-39), qPCR mastermix (SYBR and Taqman), and country. Finally, the publication bias was estimated using Egger's funnel plot asymmetry test. Results A total of 40 articles covering 73 studies (59 microRNAs) were included, containing 11,022 participants (6,324 cases and 4,698 controls). The overall pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) were 0.75 (95% CI: 0.74-0.77), 0.79 (95% CI: 0.78-0.80), 4.081 (95% CI: 3.43-4.85), 0.28 (95% CI: 0.25-0.32), 16.08 (95% CI: 12.34-20.95), and 0.877 (CI: 0.84-0.90), respectively. We conducted a subgroup analysis of diagnostic values, which revealed that serum type, U6 reference gene, SYBR mastermix, and East Asian Countries (China and Japan) had better diagnostic value. Conclusion Circulating miRs can serve as diagnostic biomarkers for gastric cancer. However, specific miRNAs still need to be discovered in diagnosing gastric cancer, especially early screening.
Original languageEnglish
Pages (from-to)3798-3814
Number of pages17
JournalCurrent Medicinal Chemistry
Volume30
Issue number33
DOIs
Publication statusPublished - 2023

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