Identification of novel small molecules that inhibit STAT3-dependent transcription and function

Activation of Signal Transducer and Activator of Transcription 3 (STAT3) has been linked to several processes that are critical for oncogenic transformation, cancer progression, cancer cell proliferation, survival, drug resistance and metastasis. Inhibition of STAT3 signaling has shown a striking ability to inhibit cancer cell growth and therefore, STAT3 has become a promising target for anti-cancer drug development. The aim of this study was to identify novel inhibitors of STAT-dependent gene transcription. A cellular reporter-based system for monitoring STAT3 transcriptional activity was developed which was suitable for high-throughput screening (Z’ = 0,8). This system was used to screen a library of 28,000 compounds (the ENAMINE Drug-Like Diversity Set). Following counter-screenings and toxicity studies, we identified four hit compounds that were subjected to detailed biological characterization. Of the four hits, KI16 stood out as the most promising compound, inhibiting STAT3 phosphorylation and transcriptional activity in response to IL6 stimulation. In silico docking studies showed that KI16 had favorable interactions with the STAT3 SH2 domain, however, no inhibitory activity could be observed in the STAT3 fluorescence polarization assay. KI16 inhibited cell viability preferentially in STAT3-dependent cell lines. Taken together, using a targeted, cell-based approach, novel inhibitors of STAT-driven transcriptional activity were discovered which are interesting leads to pursue further for the development of anti-cancer therapeutic agents

Characterisation of hairy cell leukaemia by tiling resolution array-based comparative Genome hybridisation:a series of 13 cases and review of the literature

Little is known about the cytogenetic features and molecular mechanisms behind hairy cell leukaemia (HCL), despite the advances in diagnosis and treatment. Therefore, we used high-resolution genome-wide array-based comparative genomic hybridisation (array-CGH) and multiplex ligation-dependent probe amplification (MLPA) to characterise copy number alterations (CNAs) in DNA from 13 cases of HCL. We also summarise CNAs and cytogenetic features in 109 HCL cases comprising our 13 cases and 96 cases from the literature. Genomic array-CGH revealed imbalances in two out of 13 cases in addition to previously described copy number variants (CNVs) found in healthy individuals. In one case, a 700 kb deletion of 20q11.22 was detected encompassing ten characterised genes, among them the TP53INP2, DNCL2A and ITCH genes. In the second case, trisomy 5, and a deletion of 5p15.2 encompassing a non-characterised gene AY328033 was found. Altogether only 20/81 (25%) of all cases studied by CGH or gene dose array revealed CNAs. The most common recurrent deletions and breakpoints were 14q22-32 (33%), 6q25 (16%), 2p12 (10%), 22q11 (10%), 17p11-13 (10%), 7q32-36 (9%), 18q11-13 (7%), 1q32-44 (6%), 8p22-23 (6%) and 7q11 (6%). Trisomy 5 occurred in 15%. In addition, several other recurrent breakpoints were identified. Although a number of genomic imbalances were identified in the HCL samples, the genome appeared remarkably stable

Array-CGH reveals hidden gene dose changes in children with acute lymphoblastic leukaemia and a normal or failed karyotype by G-banding

A tiling path 33K BAC array was used to study 28 children with acute lymphoblastic leukaemia (ALL) who had normal or failed G-banded karyotypes. Twenty-two patients (79%) had a total of 135 copy number alterations (CNA) (69 gains and 66 losses); most of these patients showed CNA that were below the resolution of G-banding. Molecular cytogenetic and array comparative genomic hybridization results enabled the division of B-precursor ALL patients into five groups: high hyperdiploidy, intrachromosomal amplification of 21q, ETV6/RUNX1 rearrangement, others and no CNA. Apart from a shared deletion of 9p21.3, T-ALL patients had additional small CNA, with no region in common

Requirement of Apoptotic Protease-Activating Factor-1 for Bortezomib-Induced Apoptosis but Not for Fas-Mediated Apoptosis in Human Leukemic Cells

Bortezomib is a highly selective inhibitor of the 26S proteasome and has been approved for clinical use in the treatment of relapsing and refractory multiple myeloma and mantle cell lymphoma. Clinical trials are also underway to assess the role of bortezomib in several other human malignancies, including leukemia. However, the mechanism(s) by which bortezomib acts remain to be fully understood. Here, we studied the molecular requirements of bortezomib-induced apoptosis using the human T-cell leukemic Jurkat cells stably transfected with or without shRNA against apoptotic protease-activating factor-1 (Apaf-1). The Apaf-1-deficient Jurkat T cells were resistant to bortezomib-induced apoptosis, as assessed by caspase-3 activity, poly(ADP-ribose) polymerase cleavage, phosphatidylserine externalization, and hypodiploid DNA content. In contrast, Apaf-1-deficient cells were sensitive to Fas-induced apoptosis. Bortezomib induced an upregulation of the pro-apoptotic protein Noxa, loss of mitochondrial transmembrane potential, and release of cytochrome c in cells expressing or not expressing Apaf-1. Transient silencing of Apaf-1 expression in RPMI 8402 T-cell leukemic cells also diminished bortezomib-induced apoptosis. Fas-associated death domain (FADD)-deficient Jurkat cells were resistant to Fas-mediated apoptosis yet remained sensitive to bortezomib. Our results show that bortezomib induces apoptosis by regulating pathways that are mechanistically different from those activated upon death receptor ligation. Furthermore, in silico analyses of public transcriptomics data-bases indicated elevated Apaf-1 expression in several hematologic malignancies, including acute lymphoblastic and myeloid leukemia. We also noted variable Apaf-1 expression in a panel of samples from patients with acute lymphoblastic leukemia. Our results suggest that the expression of Apaf-1 may be predictive of the response to proteasome inhibition

Characterisation of dic(9;20)(p11-13;q11) in childhood B-cell precursor acute lymphoblastic leukaemia by tiling resolution array-based comparative genomic hybridisation reveals clustered breakpoints at 9p13.2 and 20q11.2

Although the dic(9;20)(p11-13;q11) is a recurrent chromosomal abnormality in paediatric B-cell precursor acute lymphoblastic leukaemia (BCP ALL), occurring in approximately 2% of the cases, its molecular genetic consequences have not been elucidated. In the present study, high-resolution genome-wide array-based comparative genomic hybridisation (array-CGH) and fluorescence in situ hybridisation (FISH) were used to characterise the 9p and 20q breakpoints (BPs) in seven childhood BCP ALLs with dic(9;20), which was shown to be unbalanced in all of them, resulting in loss of 9p13.2-pter. Five of the cases had loss of 20q11.2-qter, whereas two displayed gain of 20cen-pter. All BPs on 9p clustered in a 1.5 Mb segment of the sub-band 9p13.2; in three of the cases, the 20q BPs mapped to three adjacent clones covering a distance of 350 kb at 20q11.2. Thus, the aberration should be designated dic(9;20)(p13.2;q11.2). One of the ALLs, shown to have a complex dic(9;20), was further investigated by FISH, revealing a rearrangement of the haemapoietic cell kinase isoform p61 (HCK) gene at 20q11. The disruption of HCK may result in a fusion gene or in loss of function. Unfortunately, lack of material precluded further analyses of HCK. Thus, it remains to be elucidated whether dic(9;20)(p13.2;q11.2) leads to a chimaeric gene or whether the functionally important outcome is loss of 9p and 20q material

Deep targeted sequencing in pediatric acute lymphoblastic leukemia unveils distinct mutational patterns between genetic subtypes and novel relapse-associated genes

To characterize the mutational patterns of acute lymphoblastic leukemia (ALL) we performed deep next generation sequencing of 872 cancer genes in 172 diagnostic and 24 relapse samples from 172 pediatric ALL patients. We found an overall greater mutational burden and more driver mutations in T-cell ALL (T-ALL) patients compared to B-cell precursor ALL (BCP-ALL) patients. In addition, the majority of the mutations in T-ALL had occurred in the original leukemic clone, while most of the mutations in BCP-ALL were subclonal. BCP-ALL patients carrying any of the recurrent translocations ETV6-RUNX1, BCR-ABL or TCF3-PBX1 harbored few mutations in driver genes compared to other BCP-ALL patients. Specifically in BCP-ALL, we identified ATRX as a novel putative driver gene and uncovered an association between somatic mutations in the Notch signaling pathway at ALL diagnosis and increased risk of relapse. Furthermore, we identified EP300, ARID1A and SH2B3 as relapse-associated genes. The genes highlighted in our study were frequently involved in epigenetic regulation, associated with germline susceptibility to ALL, and present in minor subclones at diagnosis that became dominant at relapse. We observed a high degree of clonal heterogeneity and evolution between diagnosis and relapse in both BCP-ALL and T-ALL, which could have implications for the treatment efficiency

Primers used for qRT-PCR.

<p>Primers used for qRT-PCR.</p

Characterization of the four hit compounds.

<p><b>(A-D)</b> Compounds KI1, KI4, KI12 and KI16 and their corresponding activities in the luciferase reporter assays (center) and cell viability assays (right). Luciferase assays were performed in A4wt cells stimulated with IL6 (grey) and in A4 cells stimulated with IFNγ (red). Viability assays were conducted over 48 hours in A4wt cells (grey) and A4 cells (red). <b>(E)</b> Luciferase IC₅₀ values for lead compounds. Curves were fit using GraphPad and error bars indicate the 95% confidence intervals. <b>(F)</b> Cell viability EC₅₀ values in A4 and A4wt cells using CellTiterGlo assay (Promega Biotech AB, Sweden). Curves were fit using GraphPad and error bars indicate the 95% confidence intervals.</p

The effect of the lead compounds on the IL6-JAK-STAT pathway.

<p><b>(A)</b> A4wt or A4 cell lines were pre-treated with the indicated compounds (5 and 10μM) for 30 min followed by stimulation with IL6+sIL6R (50 and 100 ng/mL, respectively) for 30 min. Levels of phosphorylated STAT3 (pTyr705) and STAT1 (pTyr701) and total levels of these proteins were determined by Western blotting analysis. GAPDH was used as a loading control. Both left and right panels of western blots were performed simultaneously. <b>(B)</b> A4wt and A4 cell lines were pre-treated with the indicated compounds (5 and 10μM) for 30 min followed by stimulation with IFNγ (40 IU/mL) for 30 min. Levels of phospho-STAT1 and total STAT1 were determined by Western blotting analysis. GAPDH was used as a loading control. <b>(C)</b> A4wt cells were pre-treated with the compounds KI1, KI4, KI12 and KI16 in the concentration of 10 μM and then treated with IL6 + sIL6R (50 ng/mL and 100 ng/mL respectively) for 30 min. The cell pellets were lysed and pJAK1, pJAK2 and total JAK1 and JAK2 levels were assessed by Western blotting. GAPDH was used as a loading control. <b>(D)</b> A4wt cells were stimulated with either IL6+sIL6R (50 and 100 ng/mL, respectively) or IFNγ (40 IU/mL) for 4 h. Expression of indicated STAT3 target genes was assessed by qRT-PCR. The data represents mean of duplicates ± SD. <b>(E)</b> A4wt cells were pretreated with the indicated compounds (5 and 10 μM) for 30 min followed by IL6+sIL6R stimulation for 4 h (as in <b>D</b>). The expression of indicated STAT3 target genes was determined by qRT-PCR. The data is normalized to β-actin expression and presented as fold expression relative to the untreated control. The data represents mean of duplicates ± SD.</p