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Erschienen in: Clinical and Experimental Medicine 3/2020

11.04.2020 | Original Article

MicroRNA-4317 predicts the prognosis of breast cancer and inhibits tumor cell proliferation, migration, and invasion

verfasst von: Yuwei Sheng, Rong Hu, Yi Zhang, Wenjie Luo

Erschienen in: Clinical and Experimental Medicine | Ausgabe 3/2020

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Abstract

Previous researches have indicated that miR-4317 was aberrantly expressed in several tumors. However, the potential role of miR-4317 in breast cancer is still unclear. The aim of this study was to investigate the potential role of miR-4317 in breast cancer. The relative expression levels of miR-4317 were detected in breast cancer tissues and cell lines using qRT-PCR analysis. The Kaplan–Meier survival curve and multivariate Cox regression analyses were used to investigate the prognostic significance of miR-4317 in breast cancer. CCK-8 and Transwell assays were performed to evaluate the effects of miR-4317 on cell proliferation, migration, and invasion. The results showed that miR-4317 expression was decreased in breast cancer tissues and cell lines. Downregulation of miR-4317 was significantly associated with lymph node metastasis, TNM stage, and poor prognosis. Overexpression of miR-4317 inhibited proliferation, migration, and invasion of breast cancer cells, while downregulation of miR-4317 exhibited the opposite effects. MYD88 may be a direct target of miR-4317. The results suggest miR-4317 may play a tumor suppressor role in breast cancer and inhibit proliferation, migration, and invasion of breast cancer cells by targeting MYD88. The findings provide novel evidence of miR-4317 as a potential prognostic biomarker and therapeutic target for breast cancer.
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Metadaten
Titel
MicroRNA-4317 predicts the prognosis of breast cancer and inhibits tumor cell proliferation, migration, and invasion
verfasst von
Yuwei Sheng
Rong Hu
Yi Zhang
Wenjie Luo
Publikationsdatum
11.04.2020
Verlag
Springer International Publishing
Erschienen in
Clinical and Experimental Medicine / Ausgabe 3/2020
Print ISSN: 1591-8890
Elektronische ISSN: 1591-9528
DOI
https://doi.org/10.1007/s10238-020-00625-4

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