MiR-577 Suppresses Epithelial-mesenchymal Transition and Metastasis of Breast Cancer by Targeting Rab25
Overview
Pulmonary Medicine
Affiliations
Background: MicroRNAs can act as both tumor suppressor genes and oncogenes and participate in cell proliferation, metastasis, and apoptosis. Low levels of miR-577 are found in several cancers, for example, thyroid carcinoma, glioblastoma, and hepatocellular carcinoma. The aim of this study was to investigate the effect of miR-577 on breast cancer (BC).
Methods: The relative level of miR-577 in 120 BC tissues and cells was detected by real-time PCR. MDA-MB-231 cells with upregulated miR-577 and MCF-7 cells with downregulated miR-577 were established. Transwell invasion assays were used to examine the invasiveness of cells. Epithelial-mesenchymal transition (EMT) markers were evaluated by immunofluorescence and Western blot. Targeted combinations of miR-577 and Rab25 were analyzed by luciferase assays. Xenograft models were used to examine the effect of miR-577 on BC metastasis.
Results: MiR-577 expression was significantly suppressed in BC tissues. Tumor size, tumor stage, and lymphatic metastasis were attributed to miR-577 expression. Moreover, miR-577 overexpression strongly inhibited the invasiveness and EMT of BC cells in vitro. MiR-577 directly regulated Rab25 in BC. Rab25 upregulation by miR-577 decreased the levels of E-cadherin and increased the levels of Vimentin. Notably, Rab25 knockdown inhibited BC invasion; however, an increase in Rab25 counteracted the invasive effect of miR-577 in BC.
Conclusion: Results indicated that miR-577 suppressed EMT by inhibiting Rab25 expression in BC. MiR-577 and Rab25 are considered potential targets of BC treatment.
Zhang Y, Wang J, Yang H, Guan Y Front Endocrinol (Lausanne). 2024; 15:1490011.
PMID: 39698037 PMC: 11652206. DOI: 10.3389/fendo.2024.1490011.
Dai H, Yi G, Jiang D, Min Y, Li Z J Orthop Surg Res. 2024; 19(1):67.
PMID: 38218855 PMC: 10788008. DOI: 10.1186/s13018-023-04520-y.
miRSCAPE - inferring miRNA expression from scRNA-seq data.
Olgun G, Gopalan V, Hannenhalli S iScience. 2022; 25(9):104962.
PMID: 36060076 PMC: 9437856. DOI: 10.1016/j.isci.2022.104962.
Hu Y, Zhao Z, Jin G, Guo J, Nan F, Hu X Bioengineered. 2022; 13(4):10749-10764.
PMID: 35475457 PMC: 9208461. DOI: 10.1080/21655979.2022.2054910.
Integrative analysis of TCGA data identifies miRNAs as drug-specific survival biomarkers.
Lin S, Zhou J, Xiao Y, Neary B, Teng Y, Qiu P Sci Rep. 2022; 12(1):6785.
PMID: 35474090 PMC: 9042876. DOI: 10.1038/s41598-022-10662-6.