Faculty Collaboration Database

Prognostic and clinicopathologic significance of MicroRNA-125a-5p in cancers: A meta-analysis. Medicine (Baltimore) 2019 Aug;98(31):e16685

Date

08/03/2019

Pubmed ID

31374052

Pubmed Central ID

PMC6708938

DOI

10.1097/MD.0000000000016685

Scopus ID

2-s2.0-85071149951 (requires institutional sign-in at Scopus site)   7 Citations

Abstract

The aim of the study was to estimate the prognostic and clinicopathologic significance of miR-125a-5p in human cancers. Eligible studies were obtained from PubMed, Embase, and the Cochrane Library. Combined hazard ratios (HRs) and odds ratios (ORs) were used to evaluate the prognostic and clinicopathologic value of miR-125a-5p. In pan-cancer, high miR-125a-5p expression was associated with better overall survival (OS) (HR = 0.459, 95% confidence interval [CI]: 0.369-0.57, P < .001), and disease-free survival (HR = 0.343, 95% CI: 0.237-0.496, P < .001). Furthermore, favorable OS was also found in lung cancer (HR = 0.343, 95% CI: 0.228-0.517, P < .001) and gastric cancer (HR = 0.341, 95% CI: 0.160-0.725, P = .005) patients with high miR-125a-5p expression. Besides, high miR-125a-5p expression was correlated with early stage (OR = 0.413, 95% CI: 0.228-0.749, P = .004) and negative lymph node metastasis (OR = 0.262, 95% CI: 0.073-0.941, P = .04) in gastric cancer, and was linked with better tumor differentiation in pan-cancer (OR = 1.623, 95% CI: 1.064-2.476, P = .025) and lung cancer (OR = 2.371, 95% CI: 1.358-4.141, P = .002). In conclusion, miR-125a-5p is a tumor suppressor with prognostic and clinicopathologic values for human cancer, and miR-125a-5p overexpression predicted favorable prognosis, early stage, negative lymph node metastasis, and better tumor differentiation. More research should be conducted to test these results.

Author List

Ye H, Zhu W, Mei L, Lu Z

Author

Ling Mei MD Associate Professor in the Medicine department at Medical College of Wisconsin

MESH terms used to index this publication - Major topics in bold

Biomarkers, Tumor
Gene Expression Regulation, Neoplastic
Genes, Tumor Suppressor
Humans
Lymphatic Metastasis
MicroRNAs
Neoplasms
Observational Studies as Topic
Proportional Hazards Models