Purpose: There are conflicting opinions on whether miR-486 could be used for cancer diagnosis and prognosis. Therefore, this present study investigated the potential effect of miR-486 on lung cancer diagnosis and prognosis. Methods: We researched PubMed, Embase, Wanfang and Chinese National Knowledge Infrastructure databases to select relevant publications. Specificity and sensitivity were obtained for the pooled and subgroup diagnostic meta-analysis while the hazard ratio was for prognostic meta-analysis. Publication analyses and sensitivity analyses were conducted to investigate possible sources of heterogeneity. Results: The overall sensitivity and specificity with 95% confidence intervals were 0.8 (0.8–0.9) and 0.9 (0.9–0.9). Results of subgroup analysis showed that high diagnostic efficacy might be obtained by miR-486 combined with other microRNAs (area under the curve (AUC): 0.9 (0.9–1.0)) to distinguish lung cancer patients from healthy controls (AUC: 1.0 (0.9–1.0)), especially for lung adenocarcinoma (AUC: 1.0 (1.0–1.0)) in the Asian population (AUC: 0.9 (0.9–1.0)). For prognosis prediction of miR-486 in overall non-small cell lung cancer, the overall hazard ratio with 95% confidence interval was 1.15 (0.85–1.54) for high versus low expression of miR-486, which indicated that a high miR-486 level was not related to the high risk of poor outcome. However, for the subgroup of progression-free survival and patients with chemotherapy, the hazard ratio was 0.41 (0.21–0.77), indicating that the higher miR-486 level would decrease the risk of poor progression-free survival for lung cancer patients with chemotherapy. Conclusion: This study suggested circulating miR-486 combined with other microRNAs could be used as ideal biomarkers in early diagnosis and prognosis prediction for lung cancer, especially for lung adenocarcinoma in the Asian population.
CITATION STYLE
Shen, X., Li, L., Zhang, L., Liu, W., Wu, Y., & Ma, R. (2022). Diagnostic and prognostic value of microRNA-486 in patients with lung cancer: A systematic review and meta-analysis. International Journal of Biological Markers, 37(4), 377–385. https://doi.org/10.1177/03936155221115750
Mendeley helps you to discover research relevant for your work.