miR-483-3p suppresses the proliferation and progression of human triple negative breast cancer cells by targeting the HDAC8>oncogene.
Mohammad-Nazir MenbariKarim RahimiAbbas AhmadiSamira Mohammadi-YeganehAnvar ElyasiNikoo DarvishiVahedeh HosseiniMohammad AbdiPublished in: Journal of cellular physiology (2019)
Triple negative breast cancer (TNBC) is a heterogeneous subclass of breast cancer (BC) distinguished by lack of hormone receptor expression. It is highly aggressive and difficult to treat with traditional chemotherapeutic regimens. Targeted-therapy using microRNAs (miR) has recently been proposed to improve the treatment of TNBC in the early stages. Here, we explore the roles of miR-483-3p/HDAC8 HDAC8 premiR-vector on tumorigenicity in TNBC patients. Clinical TNBC specimens and three BC cell lines were prepared. miR-483-3p and expression levels were measured using quantitative real-time polymerase chain reaction. Cell cycle progression was assessed by a flow-cytometry method. We also investigated cell proliferation by 3-2, 5-diphenyl tetrazolium bromide assay and colony formation assay. We used a to overexpress miR-483-3p, and a HDAC8-KO-vector for knocking out the endogenous production of HDAC8. Our data showed significant downregulation of miR-483-3p expression in TNBC clinical and cell line samples. The HDAC8 was also upregulated in both tissue specimens and BC cell lines. We found that increased levels of endogenous miR-483-3p affects tumorigenecity of MDA-MB-231. Downregulation of HDAC8 using the KO-vector showed the same pattern. Our results revealed that the miR-483-3p suppresses cellular proliferation and progression in TNBC cell lines via targeting HDAC8. Overall, our outcomes demonstrated the role of miR-483-3p as a tumor suppressor in TNBC and showed the possible mechanism via HDAC8. In addition, targeted treatment of TNBC with miR-483-3p might be considered in the future.
Keyphrases
- cell proliferation
- histone deacetylase
- cell cycle
- signaling pathway
- poor prognosis
- flow cytometry
- endothelial cells
- type diabetes
- long non coding rna
- pi k akt
- machine learning
- ejection fraction
- deep learning
- chronic kidney disease
- binding protein
- adipose tissue
- prognostic factors
- fine needle aspiration
- weight loss
- long noncoding rna
- smoking cessation