2009
DOI: 10.1016/j.beha.2009.04.002
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The impact of gene profiling in chronic myeloid leukaemia

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Cited by 26 publications
(8 citation statements)
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“…In support of this suggestion, expression studies revealed that BCR-ABL1 dramatically perturbs the CML transcriptome (31), resulting in altered expression of genes, some of which (e.g., PRAME, MZF1, EVI-1, WT1, and JUN-B) might play a role in BP (19,(32)(33)(34). Nonetheless, the posttranscriptional, translational, and posttranslational effects of high BCR-ABL1 levels result in the constitutive activation of factors with reported mitogenic, antiapoptotic, and antidifferentiation activity (e.g., MAPK ERK1/2 , MYC, JAK2, YES-1, LYN, hnRNP-E2, MDM2, STAT5, BMI-1, and BCL-2) and inhibition of major key regulators of cellular processes, such as those regulated by the tumor suppressors p53, CCAAT/enhancer binding protein-α (C/EBPα), and PP2A (19,29,35).…”
Section: Biological Complexity Of Cml-bpmentioning
confidence: 76%
“…In support of this suggestion, expression studies revealed that BCR-ABL1 dramatically perturbs the CML transcriptome (31), resulting in altered expression of genes, some of which (e.g., PRAME, MZF1, EVI-1, WT1, and JUN-B) might play a role in BP (19,(32)(33)(34). Nonetheless, the posttranscriptional, translational, and posttranslational effects of high BCR-ABL1 levels result in the constitutive activation of factors with reported mitogenic, antiapoptotic, and antidifferentiation activity (e.g., MAPK ERK1/2 , MYC, JAK2, YES-1, LYN, hnRNP-E2, MDM2, STAT5, BMI-1, and BCL-2) and inhibition of major key regulators of cellular processes, such as those regulated by the tumor suppressors p53, CCAAT/enhancer binding protein-α (C/EBPα), and PP2A (19,29,35).…”
Section: Biological Complexity Of Cml-bpmentioning
confidence: 76%
“…Our previously published biomarker data on the pCrKL/CrKL ratio and BCR-ABL1 transcript type can only predict patients likely to achieve a CCR and cannot predict patients destined to progress to BC. 3,19 Various techniques have been used on diagnostic chronic phase samples to predict who will develop BC, 29 and a variety of novel genomic lesions have been identified at BC. 30 It is however not possible at diagnosis to reliably predict which patients will develop disease progression.…”
Section: Discussionmentioning
confidence: 99%
“…[14][15][16][17][18][19][20][21][22] Furthermore, gene expression changes may distinguish CP from BC and predict response to TKI therapy. [23][24][25][26][27] The increasingly mainstream use of next-generation sequencing for studying cancer genomes is advancing our understanding of disease pathogenesis and prognosis. [28][29][30][31][32] In CML, this technology may reveal the most pathologically relevant additional genetic events to identify highrisk patients and direct trials to test new combinational treatment approaches.…”
Section: Introductionmentioning
confidence: 99%