Decitabine Response in Breast Cancer Requires Efficient Drug Processing and Is Not Limited by Multidrug Resistance.
Margaret L DahnBrianne M CruickshankAinsleigh J JacksonCheryl DeanRyan W HollowaySteven R HallKrysta Mila CoyleHillary MailletDavid M WaismanKerry B GoralskiCarman A GiacomantonioIan C G WeaverPaola MarcatoPublished in: Molecular cancer therapeutics (2020)
Dysregulation of DNA methylation is an established feature of breast cancers. DNA demethylating therapies like decitabine are proposed for the treatment of triple-negative breast cancers (TNBC) and indicators of response need to be identified. For this purpose, we characterized the effects of decitabine in a panel of 10 breast cancer cell lines and observed a range of sensitivity to decitabine that was not subtype specific. Knockdown of potential key effectors demonstrated the requirement of deoxycytidine kinase (DCK) for decitabine response in breast cancer cells. In treatment-naïve breast tumors, DCK was higher in TNBCs, and DCK levels were sustained or increased post chemotherapy treatment. This suggests that limited DCK levels will not be a barrier to response in patients with TNBC treated with decitabine as a second-line treatment or in a clinical trial. Methylome analysis revealed that genome-wide, region-specific, tumor suppressor gene-specific methylation, and decitabine-induced demethylation did not predict response to decitabine. Gene set enrichment analysis of transcriptome data demonstrated that decitabine induced genes within apoptosis, cell cycle, stress, and immune pathways. Induced genes included those characterized by the viral mimicry response; however, knockdown of key effectors of the pathway did not affect decitabine sensitivity suggesting that breast cancer growth suppression by decitabine is independent of viral mimicry. Finally, taxol-resistant breast cancer cells expressing high levels of multidrug resistance transporter ABCB1 remained sensitive to decitabine, suggesting that the drug could be used as second-line treatment for chemoresistant patients.
Keyphrases
- acute myeloid leukemia
- genome wide
- dna methylation
- clinical trial
- cell cycle
- breast cancer cells
- end stage renal disease
- chronic kidney disease
- gene expression
- sars cov
- machine learning
- cell proliferation
- drug induced
- single cell
- emergency department
- young adults
- replacement therapy
- radiation therapy
- signaling pathway
- adverse drug
- circulating tumor cells
- single molecule
- protein kinase
- rectal cancer
- smoking cessation
- stress induced
- genome wide analysis