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Noncoding RNA expression profile of dasatinib-treated chronic myeloid leukemia patients with resistance to imatinib

ABSTRACT: Dasatinib has demonstrated efficacy in patients with chronic-phase chronic myeloid leukemia (CML) who had resistance or intolerance to imatinib. However, some patients also develop resistance or intolerance to dasatinib. To identify potential molecular pathways involved in primary resistance to dasatinib in CML, we analyzed gene expression profiles of mononuclear cells of 7 imatinib-resistant patients, collected before and after 1-year dasatinib treatment. Large-scale gene expression was measured with Agilent microarrays covering protein-coding genes and long (>200 nt) noncoding RNAs (lncRNAs). Sets of genes and lncRNAs significantly differentially expressed (>1.5 fold-change; q value ≤10%) were identified. Ingenuity Pathway Analysis pointed to a number of functions, canonical pathways and gene networks that were significantly enriched with differentially expressed genes. In addition to protein-coding genes, lncRNAs have been recently implicated in pathways leading to tumorigenesis. Our data point to new possible regulatory elements involved in dasatinib resistance in CML.

ORGANISM(S): Homo sapiens

PROVIDER: GSE33288 | GEO | 2013/07/31

SECONDARY ACCESSION(S): PRJNA156641

REPOSITORIES: GEO

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Gene expression signatures of dasatinib-treated chronic myeloid leukemia patients with resistance to imatinib

Project description:Dasatinib has demonstrated efficacy in patients with chronic-phase chronic myeloid leukemia (CML) who had resistance or intolerance to imatinib. However, some patients also develop resistance or intolerance to dasatinib. To identify potential molecular pathways involved in primary resistance to dasatinib in CML, we analyzed gene expression profiles of mononuclear cells of 7 imatinib-resistant patients, collected before and after 1-year dasatinib treatment. Large-scale gene expression was measured with Agilent microarrays covering protein-coding genes and long (>200 nt) noncoding RNAs (lncRNAs). Sets of genes and lncRNAs significantly differentially expressed (>1.5 fold-change; q value ≤10%) were identified. Ingenuity Pathway Analysis pointed to a number of functions, canonical pathways and gene networks that were significantly enriched with differentially expressed genes. In addition to protein-coding genes, lncRNAs have been recently implicated in pathways leading to tumorigenesis. Our data point to new possible regulatory elements involved in dasatinib resistance in CML. This SuperSeries is composed of the SubSeries listed below. Refer to individual Series.

2013-07-31 | E-GEOD-33290 | biostudies-arrayexpress

Noncoding RNA expression profile of dasatinib-treated chronic myeloid leukemia patients with resistance to imatinib

Project description:Dasatinib has demonstrated efficacy in patients with chronic-phase chronic myeloid leukemia (CML) who had resistance or intolerance to imatinib. However, some patients also develop resistance or intolerance to dasatinib. To identify potential molecular pathways involved in primary resistance to dasatinib in CML, we analyzed gene expression profiles of mononuclear cells of 7 imatinib-resistant patients, collected before and after 1-year dasatinib treatment. Large-scale gene expression was measured with Agilent microarrays covering protein-coding genes and long (>200 nt) noncoding RNAs (lncRNAs). Sets of genes and lncRNAs significantly differentially expressed (>1.5 fold-change; q value ≤10%) were identified. Ingenuity Pathway Analysis pointed to a number of functions, canonical pathways and gene networks that were significantly enriched with differentially expressed genes. In addition to protein-coding genes, lncRNAs have been recently implicated in pathways leading to tumorigenesis. Our data point to new possible regulatory elements involved in dasatinib resistance in CML. Dasatinib pre-treatment and 1-yr post-treatment samples from 3 responders (R) or 4 non-responders (NR) chronic myeloid leukemia (CML) patients were investigated. We analyzed expression of Pre-treatment R vs. Pre-treatment NR; Pre-treatment R vs. Post-treatment NR; Pre-treatment NR vs. Post-treatment NR.

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Protein coding gene expression profile of dasatinib-treated chronic myeloid leukemia patients with resistance to imatinib

Project description:Dasatinib has demonstrated efficacy in patients with chronic-phase chronic myeloid leukemia (CML) who had resistance or intolerance to imatinib. However, some patients also develop resistance or intolerance to dasatinib. To identify potential molecular pathways involved in primary resistance to dasatinib in CML, we analyzed gene expression profiles of mononuclear cells of 7 imatinib-resistant patients, collected before and after 1-year dasatinib treatment. Large-scale gene expression was measured with Agilent microarrays covering protein-coding genes and long (>200 nt) noncoding RNAs (lncRNAs). Sets of genes and lncRNAs significantly differentially expressed (>1.5 fold-change; q value ?10%) were identified. Ingenuity Pathway Analysis pointed to a number of functions, canonical pathways and gene networks that were significantly enriched with differentially expressed genes. In addition to protein-coding genes, lncRNAs have been recently implicated in pathways leading to tumorigenesis. Our data point to new possible regulatory elements involved in dasatinib resistance in CML. Dasatinib pre-treatment and 1-yr post-treatment samples from 3 responders (R) or 4 non-responders (NR) chronic myeloid leukemia (CML) patients were investigated. We analyzed expression of Pre-treatment R vs. Pre-treatment NR; Pre-treatment R vs. Post-treatment NR; Pre-treatment NR vs. Post-treatment NR.

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Gene expression signatures of dasatinib-treated chronic myeloid leukemia patients with resistance to imatinib

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Protein coding gene expression profile of dasatinib-treated chronic myeloid leukemia patients with resistance to imatinib

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Quantitative proteomic analysis of plasma exosomes to identify the candidate biomarker of Imatinib Resistance in Chronic Myeloid Leukemia patients

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