Sulforaphane induces autophagy by inhibition of HDAC6-mediated PTEN activation in triple negative breast cancer cells

2018 
Abstract Aims To study the underlying mechanisms of sulforaphane, a natural histone deacetylase (HDAC) inhibitor, in inhibiting triple negative breast cancer cells growth and the therapeutic effects of combination of sulforaphane and doxorubicin in TNBC treatment. Materials and methods The antineoplastic activity of sulforaphane was evaluated in MDA-MB-231, BT549 and MDA-MB-468 cells with MTT assay. Cell apoptosis was detected with Annexin V/PI double staining by Flow cytometry. Cell autophagy was detected with fluorescence microscope. The effects of Sulforaphane and Doxorubicin combination treatments on cells growth were determined with Chou-Talalay median effect/combination index (CI) model. mRNA and protein expression of genes were assayed respectively with real-time PCR and Western bloting. Protein-protein interaction was detected with co-immunoprecipation. Gene knock-down was performed with small interfere RNA. In vivo assay of combinational treatment with sulforaphane and doxorubicin was investigated in athymic nude mice bearing MDA-MB-231 xenografts. Key findings Results showed that sulforaphane inhibited cell growth and induced autophagy in MDA-MB-231, BT549 and MDA-MB-468 cells. Further study demonstrated that sulforaphane induced autophagy by down-regulating expression of HDAC6, which resulted in increased membrane translocation and acetylation modification of phosphatase and tensin homolog (PTEN). Sulforaphane and doxorubicin combination exhibited a synergistic inhibition on TNBC cells growth. In nude mice, the combination of sulforaphane and doxorubicin displayed a greater inhibitory effect on MDA-MB-231 xenografts growth as compared to either treatment alone. Significance Our study suggested that induction of autophagy by targeting HDAC6 in combination with chemotherapeutic reagent may provide a novel strategy for TNBC therapy.
    • Correction
    • Source
    • Cite
    • Save
    • Machine Reading By IdeaReader
    31
    References
    31
    Citations
    NaN
    KQI
    []