Background: The role of microRNA-133a (miR-133a) in non-small cell lung cancers (NSCLCs) is controversial. Thus, we conducted a comprehensive study based on meta-analysis and The Cancer Genome Atlas (TCGA) database. Methods: Publications were searched in both English and Chinese databases, and meta-analysis was performed using Stata 12.0. The clinical value of miR-133a in NSCLC was investigated by collecting and calculating data from the TCGA database, and the statistical analysis was performed in R 3.5.0. Results: 5 studies with 364 cases were included in this meta-analysis. The combined pooled result showed that high expression of miR-133a was associated with a favorable survival outcome in NSCLC patients (hazard ratio 0.561, 95% confidence interval 0.396-0.794, p = 0.001). Meanwhile, a total of 984 NSCLC patients were extracted from the TCGA database. Results showed an area under the ROC curve value for miR-133a-3p of 0.902, and the expression of miR-133a-3p was linked with clinicopathologic parameters of NSCLC (p < 0.05), including sex, age, social status, and lymph node metastasis. Conclusion: Our study indicated that miR-133a might act as a tumor suppressor and be a valuable independent prognostic and diagnostic biomarker for NSCLC, and NSCLC patients with high expression of miR-133 might have a better prognosis.
ObjectiveThe aim of this study was to investigate the correlation between runt-related transcription factor 3 (RUNX3) gene promoter hypermethylation and gastric cancer risk by meta-analysis.MethodsBy searching Medline, PubMed, Embase, Cochrane, Ovid and CNKI electronic databases, the open published studies about the association between RUNX3 gene promoter hypermethylation and gastric cancer risk were screened. The hypermethylation rate in cancer tissue and autologous control tissue (normal gastric tissue of gastric cancer patients) were extracted from each included study. The odds ratio (OR) and corresponding 95% confidence interval (95% CI) of RUNX3 gene promoter hypermethylation in cancer tissue versus autologous control tissue of gastric cancer patients were pooled with random or fixed effect models. The publication bias was evaluated by Begg’s funnel plot and Egger’s line regression test.ResultsFinally, twenty three relevant studies were included in this meta-analysis. The hypermethylation rate in cancer tissue and autologous control tissue of gastric cancer patients were 0.56±0.16 and 0.18±0.22 respectively, which demonstrated a hypermethylation rate in cancer tissue significantly higher than that of autologous controls (P<0.05). A significant positive correlation of hypermethylation rate between cancer tissue and autologous control existed for the included 23 studies(rpearson =0.62, P<0.05). For significant heterogeneity across the studies, the OR was pooled by random effects model. The combined OR was 8.06 with the 95% CI of 5.73~11.32, which indicated the hypermethylation frequency in cancer tissue was higher than that of autologous controls.ConclusionThe RUNX3 gene promoter hypermethylation rate was much higher in cancer tissue than that of normal gastric tissue in patients with gastric cancer, which indicates a close association between gastric cancer and RUNX3 gene promoter hypermethylation. Furthermore, RUNX3 gene promoter hypermethylation may be a potential biomarker for gastric cancer diagnosis.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.