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. 2023 Jan 10:12:1095101.
doi: 10.3389/fonc.2022.1095101. eCollection 2022.

Diagnostic value of plasma RNF180 gene methylation for gastric cancer: A systematic review and meta-analysis

Affiliations

Diagnostic value of plasma RNF180 gene methylation for gastric cancer: A systematic review and meta-analysis

Tongxin Wang et al. Front Oncol. .

Abstract

Objective: A systematic evaluation of the diagnostic value of Ring finger protein 180 (RNF180) gene methylation as a novel tumor marker for gastric cancer (GC) is required to improve the early diagnosis of gastric cancer patients.

Methods: Computer searches of PubMed, Web of Science, Embase, The Cochrane Library, CNKI, CBM, WanFang Data, National Research Register, Cclinical Controlled Trials, Opengrey and VIP databases were conducted from the database's inception to September 1, 2022. Two researchers independently screened the literature, extracted information, and assessed the risk of bias in studies that were included. The meta-analysis was carried out using RevMan 5.3 and Stata 16.0 software.

Results: A total of 9 studies with a total of 1531 subjects were included. A random-effects meta-analysis revealed that the combined sensitivity (SEN), specificity (SPE), positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) of plasma RNF180 gene methylation for the diagnosis of GC were: 0.54 [95% CI (0.45, 0.62)], 0.80 [95% CI (0.72, 0.87)], 2.73 [95% CI (2.09, 3.57)], 0.58 [95% CI (0.51, 0.65)], 4.74 [95% CI (3.59, 6.62)], respectively.

Conclusion: The detection of RNF180 gene methylation in plasma has a high diagnostic value for GC and is expected to be a potential biomarker for the diagnosis of gastric cancer, according to current evidence.

Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=370903, identifier CRD42022370903.

Keywords: RNF180; diagnosis; gastric cancer; meta - analysis; methylation.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
Literature screening process and results.
Figure 2
Figure 2
Quality assessment results (A): Summary of methodological quality; (B): Methodological quality map.
Figure 3
Figure 3
Meta-analysis results of RNF180 methylation for the diagnosis of gastric cancer (A) sensitivity; (B) specificity; (C) PLR; (D) NLR; (E) DOR; (F) HSROC; PLR, positive likelihood ratio; NLR, negative likelihood ratio; DOR, diagnostic odds. ratio; HSROC, hierarchical summary receives operating characteristic.
Figure 4
Figure 4
(A) Fagan nomogram plot; (B) Likelihood ratio coordinate plot.
Figure 5
Figure 5
(A) Sensitivity analysis (one-by-one elimination method). (B) Sensitivity analysis. (A, B) show different presentations of the sensitivity analysis results. In (B), the data in (a, b) are evenly distributed in a straight line, (d) no yellow literature appears, representing stable results, and the 9th literature in Figure (c) is marked yellow, suggesting that this literature affects the stability of the results of this study.
Figure 6
Figure 6
Deeks funnel plot of RNF180 gene methylation for GC diagnosis.

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