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1.
Mol Oncol ; 8(8): 1379-92, 2014 Dec.
Article in English | MEDLINE | ID: mdl-24954856

ABSTRACT

Romidepsin and vorinostat are histone deacetylase inhibitors (HDACis) that have activity in T-cell lymphomas, but have not gained traction in solid tumors. To gain deeper insight into mechanisms of HDACi efficacy, we systematically surveyed 19 cell lines with different molecular phenotypes, comparing romidepsin and vorinostat at equipotent doses. Acetylation at H3K9 and H4K8 along with 22 other histone lysine acetylation and methylation modifications were measured by reverse phase proteomics array (RPPA), and compared with growth inhibition (IC50), and cell cycle arrest. These assays typically used to assess HDACi effect showed that acetylation and methylation of specific lysine residues in response to HDACis were consistent across cell lines, and not related to drug sensitivity. Using a treatment duration more reflective of the clinical exposure, cell death detected by annexin staining following a 6 h drug exposure identified a subset of cell lines, including the T-cell lymphoma line, that was markedly more sensitive to HDAC inhibition. Kinetic parameters (Km values) were determined for lysine acetylation and for cell cycle data and were themselves correlated following HDACi exposure, but neither parameter correlated with cell death. The impact on cell survival signaling varied with the molecular phenotype. This study suggests that cellular response to HDACis can be viewed as two distinct effects: a chromatin effect and a cell death effect. All cells undergo acetylation, which is necessary but not sufficient for cell death. Cells not primed for apoptosis will not respond with cell death to the impact of altered histone acetylation. The divergent apoptotic responses observed reflect the variable clinical outcome of HDACi treatment. These observations should change our approach to the development of therapeutic strategies that exploit the dual activities of HDACis.


Subject(s)
Cell Death/drug effects , Chromatin/metabolism , Histone Deacetylase Inhibitors/pharmacology , Acetylation/drug effects , Apoptosis/drug effects , Cell Cycle/drug effects , Cell Cycle Checkpoints/drug effects , Flow Cytometry , HCT116 Cells , Humans , Immunoblotting
2.
Blood ; 117(1): 211-20, 2011 Jan 06.
Article in English | MEDLINE | ID: mdl-20974671

ABSTRACT

The multiple myeloma SET domain (MMSET) protein is overexpressed in multiple myeloma (MM) patients with the translocation t(4;14). Although studies have shown the involvement of MMSET/Wolf-Hirschhorn syndrome candidate 1 in development, its mode of action in the pathogenesis of MM is largely unknown. We found that MMSET is a major regulator of chromatin structure and transcription in t(4;14) MM cells. High levels of MMSET correlate with an increase in lysine 36 methylation of histone H3 and a decrease in lysine 27 methylation across the genome, leading to a more open structural state of the chromatin. Loss of MMSET expression alters adhesion properties, suppresses growth, and induces apoptosis in MM cells. Consequently, genes affected by high levels of MMSET are implicated in the p53 pathway, cell cycle regulation, and integrin signaling. Regulation of many of these genes required functional histone methyl-transferase activity of MMSET. These results implicate MMSET as a major epigenetic regulator in t(4;14)+ MM.


Subject(s)
Chromosomes, Human, Pair 14/genetics , Chromosomes, Human, Pair 4/genetics , DNA Methylation , Histone-Lysine N-Methyltransferase/genetics , Histones/genetics , Multiple Myeloma/genetics , Repressor Proteins/genetics , Translocation, Genetic/genetics , Apoptosis , Biomarkers, Tumor/genetics , Biomarkers, Tumor/metabolism , Blotting, Western , Cell Adhesion , Cell Cycle , Cell Movement , Cell Proliferation , Chromatin/genetics , Chromatin Immunoprecipitation , Epigenomics , Gene Expression Profiling , Gene Expression Regulation, Neoplastic , Histone-Lysine N-Methyltransferase/antagonists & inhibitors , Histone-Lysine N-Methyltransferase/metabolism , Humans , Oligonucleotide Array Sequence Analysis , Protein Isoforms , RNA, Messenger/genetics , RNA, Small Interfering/genetics , Repressor Proteins/antagonists & inhibitors , Repressor Proteins/metabolism , Reverse Transcriptase Polymerase Chain Reaction , Tumor Cells, Cultured
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