Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Preclinical analysis of the gamma secretase inhibitor PF-030840214 in combination with glucocorticoids in T-cell acute lymphoblastic leukemia

ABSTRACT: T-cell acute lymphoblastic leukemia (T-ALL) is an aggressive hematologic cancer frequently associated with activating mutations in NOTCH1. Early studies identified NOTCH1 as an attractive therapeutic target for the treatment of T-ALL through the use of gamma-secretase inhibitors (GSIs). Here, we characterized the interaction between PF-03084014, a clinically-relevant GSI, and dexamethasone in preclinical models of glucocorticoid-resistant T-ALL. Combination treatment of the GSI PF-03084014 with glucocorticoids induced a synergistic antileukemic effect in human T-ALL cell lines and primary human T-ALL patient samples. Molecular characterization of the response to PF-03084014 plus glucocorticoids through gene expression profiling revealed transcriptional upregulation of the glucocorticoid receptor as the mechanism mediating the enhanced glucocorticoid response. Moreover, treatment with PF-03084014 and glucocorticoids in combination was highly efficacious in vivo, with enhanced reduction of tumor burden in a xenograft model of T-ALL. Finally, glucocorticoid treatment was highly effective at reversing PF-03084014-induced gastrointestinal toxicity via inhibition of goblet cell metaplasia. These results suggest that combination of PF-03084014 treatment with glucocorticoids may be well-tolerated and highly active for the treatment of glucorticoid-resistant T-ALL. Duplicate samples of the CUTLL1 T-ALL cell line were treated with vehicle only (DMSO), the gamma-secretase inhibitor PF-03084014 (1 microM), dexamethasone (1 microM), or PF-03084014 (1 microM). plus dexamethasone (1 microM) for 48 hours. Gene expression profiling was analyzed to identify gene expression signatures assocuated with glucocorticoid treatment (dexamethasone), inhibition of NOTCH1 by gamma secretase inhibitor (PF-03084014) or the combination of both treatments.

ORGANISM(S): Homo sapiens

SUBMITTER: Adolfo Ferrando

PROVIDER: E-GEOD-33562 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:Glucocorticoids are an essential component of the treatment of lymphoid malignancies and resistance to glucocorticoid therapy constitutes a prominent clinical problem in relapsed and refractory lymphoblastic leukemias. Constitutively active NOTCH signaling is involved in the pathogenesis of over 50% of T-cell lymphoblastic leukemia (T-ALL) which harbor activating mutations in the NOTCH1 gene. Aberrant NOTCH1 signaling has been shown to protect normal thymocytes from glucocorticoid induced cell death. Here we analyzed the interaction of glucocorticoid therapy with inhibition of NOTCH signaling in the treatment of T-ALL. Gamma-secretase inhibitors (GSI), which block the activation of NOTCH receptors, amplified the transcriptional changes induced by glucocorticoid treatment, including glucocorticoid receptor autoinduction and restored sensitivity to dexamethasone in glucocorticoid-resistant T-ALL cells. Apoptosis induction upon inhibition of NOTCH signaling and activation of the glucocorticoid receptor was dependent on transcriptional upregulation of BIM and subsequent activation of the mitochondrial/intrinsic cell death pathway. Finally, we used a mouse xenograft model of T-ALL to demonstrate that combined treatment with dexamethasone and a GSI results in improved antileukemic effects in vivo. These studies provide insight in the mechanisms of glucocorticoid resistance and serve as rationale for the use of glucocorticoid and GSIs in combination in the treatment of T-ALL. Experiment Overall Design: Duplicate samples (biologic replicas) from CUTLL1 cells were treated for 24 hours with vehicle only (DMSO), dexamethasone (1microM), a gamma-secretase inhibitor (CompE 100nM) and a combination of dexamethasome plus gamma secretase inhibitor at the same concentrations indicated before. Gene expression profiling was analyzed to identify gene expression signatures assocuated with glucocorticoid treatment (dexamethasone), inhibition of NOTCH1 by gamma secretase inhibitor (CompE) or the combination of both treatments.

Project description:Males and females exhibit differences in the incidence of many major diseases including auto-immune diseases, hepatocellular carcinoma, diabetes, and osteoporosis, which all have important inflammatory components in their etiology. Glucocorticoids are the primary physiological anti-inflammatory hormone in all mammals and synthetic derivatives of these hormones are widely prescribed as anti-inflammatory agents irrespective of gender. Surprisingly we report a marked sexually dimorphic regulation of gene expression by glucocorticoids in the rat liver. Eight distinct patterns of glucocorticoid regulated genes were identified and two revealed genes that respond to glucocorticoid treatment in both sexes in opposite directions (anti-correlated genes. We also identified gender-specific groups of genes regulated by glucocorticoids. Pathways analysis identified sex-specific glucocorticoid regulated gene expression in several canonical pathways that have been implicated in human disease in which disease susceptibility is sex-biased. For example, comparison of number of genes involved in inflammatory disorders between sexes, revealed 84 additional glucocorticoid responsive genes in the male rat. Our data suggests that glucocorticoids thorough sexually-dimorphic regulation of gene expression modulate gender specific homeostatic functions in male and female liver. Adult males and females adrenalectomized Sprague-Dawley rats (8-10 weeks of age) (females Distrous 1) were treated with vehicle (Phosphate Buffered Saline – 400 µl) or Dexamethasone (1mg/Kg i.p.) purchased from Steraloids (Newport, RI). Liver was harvested 6 hours after treatment and kept in RNA later solution at 4oC over night. Samples were frozen and stored at -80oC. Three replicate microarrays were completed for each group (male vehicle, male dexamethasone, female vehicle and female dexamethasone) for a total of 12 microarrays. Each microarray was hybridized using a pooled RNA sample, and each pool was created from equal amounts of total RNA from three independent RNA samples, representing individual animals (n=9 animals per group). This approach provides appropriate biological replication within the constraints of a limiting number of microarrays (C. Kendziorski, R. A. Irizarry, K. S. Chen, J. D. Haag, M. N. Gould, Proc Natl Acad Sci U S A 102, 4252 Mar 22, 2005).

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Preclinical analysis of the gamma secretase inhibitor PF-030840214 in combination with glucocorticoids in T-cell acute lymphoblastic leukemia

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