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DNA methylation profile of PBMC following decitabine therapy

ABSTRACT: The epigenetic regulation, for example, DNA methylation, controls the development and differentiation of both tumor cells and immunocytes. Treatment with DNA demethylating agent (such as decitabine) has shown a dramatic clinical benefit in hematological malignancies and solid tumors. However, the influence of epigenetic therapy on host immune system remains unclear.

ORGANISM(S): Homo sapiens

PROVIDER: GSE80377 | GEO | 2016/12/01

SECONDARY ACCESSION(S): PRJNA318770

REPOSITORIES: GEO

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Expression profile of PBMCs following decitabine treatment

Project description:The epigenetic regulation, for example, DNA methylation, controls the development and differentiation of both tumor cells and immunocytes. Treatment with DNA demethylating agent (such as decitabine) has shown a dramatic clinical benefit in hematological malignancies and solid tumors. However, the influence of epigenetic therapy on host immune system remains unclear. To investigate the effects of low-dose decitabine therapy on T cells, We collected whole blood samples from two solid tumor patients pre and post low-dose decitabine therapy, and detected the expression profiles of PBMCs.

2016-06-30 | E-GEOD-72686 | biostudies-arrayexpress

Expression profile of PBMCs following decitabine treatment

2016-06-30 | GSE72686 | GEO

Methylation profiling by array of human cell line HCT116 after treatment with demethylating drugs azacytidine or decitabine.

Project description:array-based analysis of genome-wide DNA methylation changes induced by the demethylating drugs azacytidine and decitabine on HCT116 cells for 24 hours

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Methylation profiling by array of human HCT116 and HL60 cells treated with the demthylating drugs azacytidine and decitabine

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SUM159 BrCa Decitabine Gene Expression

Project description: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 (TNBCs) 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-naive 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 TNBC patients 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 (GSEA) of transcriptome data demonstrated that decitabine induced genes within apoptosis, cell cycle, stress, and immune pathways in decitabine treated cells. 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. We used microarrays to determine genome-wide expression changes induced by DNA de-methylating agent decitabine in breast cancer cell lines

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The impact of decitabine treatment in MDS-induced Tet2KD/KDEzh2Δ/Δ LSK HSPCs

Project description:To evaluate the impact of DNA demethylating agents on our mouse MDS model, we chose 5-aza-2’-deoxycytidine, decitabine (DAC), one of the DNA demethylating agents, which is incorporated into DNA but not RNA and has 10-fold more potency in DNA demethylation than 5-azacitidine. We transplanted Tet2KD/KDEzh2Δ/Δ MDS cells into lethally irradiated secondary recipients and treated them with DAC (low dose DAC at 0.25mg/kg, 3 times a week, intraperitoneal injection), then purified LSK HSPCs and evaluated the expression profiles.

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Specific molecular signatures underlie response to decitabine in CMML [ERRBS]

Project description:Myelodysplastic syndromes and chronic myelomonocytic leukemia (CMML) are characterized by mutations in epigenetic modifiers and aberrant DNA methylation. DNA methyltransferase inhibitors (DMTis) are used to treat these disorders, but response is highly variable with few means to predict which patients will benefit. To develop a molecular means of predicting response at diagnosis, we examined baseline differences in mutations, DNA methylation, and gene expression in 40 CMML patients responsive and resistant to decitabine (DAC). While somatic mutations did not differentiate responders and non-responders, we were able to identify for the first time 158 differentially methylated regions (DMRs) at baseline between responders and non-responders using next-generation sequencing. These DMRs were primarily localized to non-promoter regions and overlapped with distal regulatory enhancers. Using the methylation profiles, we developed an epigenetic classifier that accurately predicted DAC response at the time of diagnosis. We also found 53 differentially expressed genes between responders and non-responders. Genes up-regulated in responders were enriched in the cell cycle, potentially contributing to effective DAC incorporation. Two chemokines overexpressed in non-responders -- CXCL4 and CXCL7 -- were able to block the effect of DAC on normal CD34+ and primary CMML cells in vitro, suggesting their up-regulation contributes to primary DAC resistance. DNA methylation profiling in bone marrow mononuclear cells (BM MNC) from 39 CMML patients (19 decitabine responders vs. 20 non-responders).

2015-03-31 | E-GEOD-61161 | biostudies-arrayexpress

Specific molecular signatures underlie response to decitabine in CMML [RNA-seq]

Project description:Myelodysplastic syndromes and chronic myelomonocytic leukemia (CMML) are characterized by mutations in epigenetic modifiers and aberrant DNA methylation. DNA methyltransferase inhibitors (DMTis) are used to treat these disorders, but response is highly variable with few means to predict which patients will benefit. To develop a molecular means of predicting response at diagnosis, we examined baseline differences in mutations, DNA methylation, and gene expression in 40 CMML patients responsive and resistant to decitabine (DAC). While somatic mutations did not differentiate responders and non-responders, we were able to identify for the first time 158 differentially methylated regions (DMRs) at baseline between responders and non-responders using next-generation sequencing. These DMRs were primarily localized to non-promoter regions and overlapped with distal regulatory enhancers. Using the methylation profiles, we developed an epigenetic classifier that accurately predicted DAC response at the time of diagnosis. We also found 53 differentially expressed genes between responders and non-responders. Genes up-regulated in responders were enriched in the cell cycle, potentially contributing to effective DAC incorporation. Two chemokines overexpressed in non-responders -- CXCL4 and CXCL7 -- were able to block the effect of DAC on normal CD34+ and primary CMML cells in vitro, suggesting their up-regulation contributes to primary DAC resistance. mRNA profiling in bone marrow mononuclear cells (BM MNC) from 14 CMML patients (8 decitabine responders vs. 6 non-responders).

2015-03-31 | E-GEOD-61162 | biostudies-arrayexpress

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