No retraction, correction or concern found when last checked on Oct 22, 2026.
Recurrent mutations, including NPM1c, activate a BRD4-dependent core transcriptional program in acute myeloid leukemia
M A Dawson, E J Gudgin, S J Horton and 20 more
Leukemia · 2013
Abstract
Recent evidence suggests that inhibition of bromodomain and extra-terminal (BET) epigenetic readers may have clinical utility against acute myeloid leukemia (AML). Here we validate this hypothesis, demonstrating the efficacy of the BET inhibitor I-BET151 across a variety of AML subtypes driven by disparate mutations. We demonstrate that a common 'core' transcriptional program, which is HOX gene independent, is downregulated in AML and underlies sensitivity to I-BET treatment. This program is enriched for genes that contain 'super-enhancers', recently described regulatory elements postulated to control key oncogenic driver genes. Moreover, our program can independently classify AML patients into distinct cytogenetic and molecular subgroups, suggesting that it contains biomarkers of sensitivity and response. We focus AML with mutations of the Nucleophosmin gene (NPM1) and show evidence to suggest that wild-type NPM1 has an inhibitory influence on BRD4 that is relieved upon NPM1c mutation and cytosplasmic dislocation. This leads to the upregulation of the core transcriptional program facilitating leukemia development. This program is abrogated by I-BET therapy and by nuclear restoration of NPM1. Finally, we demonstrate the efficacy of I-BET151 in a unique murine model and in primary patient samples of NPM1c AML. Taken together, our data support the use of BET inhibitors in clinical trials in AML.
Full text
From PubMed Central, U.S. National Library of Medicine, as current on Oct 22, 2026. Paragraph numbers are ours, so an answer can point at one.
Introduction
Acute myeloid leukemia (AML) is an aggressive hematological malignancy where <30% of all patients are long-term survivors. Over 11 000 patients per year die of this disorder in the United States alone and novel therapeutics are urgently required. Although AML is highly heterogeneous at the genetic and biological level, unifying themes are evident.,, These include aberrant transcription and epigenetic dysfunction, which provide a potential basis for therapeutic intervention. In particular, the dynamic plasticity of the epigenome lends itself well to therapeutic manipulation. As an exemplar of this principle, we and others have recently shown the efficacy and mechanism of action of protein–protein interaction inhibitors of the bromodomain and extra-terminal (BET) family of epigenetic readers in animal models of mixed lineage leukemia (MLL)-rearranged leukemias,, multiple myeloma and non-Hodgkins lymphoma. However, the efficacy and potential mechanism(s) of action of BET inhibitors in other forms of AML are largely unknown.
One of the most common mutations in AML, occurring in 35% of cases, involves the nucleophosmin (NPM1) gene. NPM1 is a pleiotropic protein with roles in processes as diverse as ribosome biogenesis, chaperoning histones and centrosome duplication. The functional integrity of NPM1 is dependent on its ability to shuttle between the nucleus and cytoplasm, and this ability is severely compromised in NPM1 mutated AML. The mutations (termed NPM1c mutations) uniformly alter one or both critical tryptophan residues in the C-terminus of the protein, which prevent proper folding and destroys a nucleolar localization signal. In addition, the most common mutation (type A, accounting for 75% of all mutations) also generates an aberrant extra nuclear export signal. Although NPM1c mutations are heterozygous, hetro/homodimerization with wild-type (WT) NPM1 results in cytoplasmic mislocalization of both mutant and WT protein. This alteration in subcellular location perturbs normal NPM1 function, including the mislocalization and stabilization of critical proteins such as the TP53 regulator p14ARF,, and leads to transformation. This process also generates a distinct transcriptional signature in NPM1c AML that facilitates the generation of leukemia., However, the nature of aberrant transcriptional regulation in NPM1c AML remains obscure.
In this report, we address these questions and demonstrate that multiple AML subtypes are sensitive to BET inhibition in vitro. In addition, we identify a BRD4-dependent transcriptional program that maintains multiple subtypes of AML and underlies I-BET sensitivity. In mechanistically interrogating the sensitivity of the common NPM1c subtype of AML, we further identify a previously unknown function for NPM1 as a negative regulator of BRD4-dependent transcription. This function is perturbed in NPM1c AML and inhibited by I-BET. Finally, we demonstrate convincing preclinical evidence to suggest efficacy of BET inhibition in NPM1c AML.
Cell culture
MV4;11, MOLM13, NOMO1, Kasumi, ME-1, SKM1, KG-1, NB4, HEL, HL60 and K562 were grown in RPMI-1640 medium (Sigma-Aldrich, St Louis, MO, USA) supplemented with 10–15% fetal calf serum (FCS). OCI-AML3 were grown in 80% alpha-MEM+20% FCS. All growth media were 1% penicillin/streptomycin. Murine progenitors retrovirally transformed with MOZ-TIF2 or NUP98-HOXA9 were grown in RPMI-1640 medium supplemented with 20% FCS+10 ng/ml of IL3. Primary human leukemia cells were also grown in RPMI-1640 medium supplemented with 20% FCS in the presence of 10 ng/ml of IL3, 10 ng/ml IL6 and 50 ng/ml SCF. Cells were incubated at 37 °C and 5% CO2. K562 cells were transfected using the Amaxa Nucleofector system according to the manufacturer's instructions. Cell proliferation assays and clonogenic assays in methylcellulose were performed as previously described. Immortalized MOZ-TIF2 and NUP98-HOXA9 cell lines were generated through retroviral transduction of whole bone marrow with MSCV MOZ-TIF2 and MSCV NUP98-HOXA9, as previously described.
Gene expression and chromatin immunoprecipitation
Gene expression analysis and chromatin immunoprecipitation followed by downstream analysis with next-generation sequencing or RT-PCR were performed as previously described. The following primer pairs were used in the chromatin immunoprecipitation analysis.
The following primer pairs were then used in the gene expression analysis.
Murine models of disseminated NPM1c leukemia
Three separate NPM1c AML samples each containing different collaborating mutations were chosen for in vivo studies. Ten million NPM1c AML cells from each leukemia were intravenously injected into 6–8-week-old sublethally irradiated (300 cGy) NOD-SCID mice, as previously described. Treatment with I-BET at 15 mg/kg was commenced on day 11 and mice were inspected twice daily. This dosing schedule maintained plasma levels of the compound above the in vitro IC50 (Supplementary Figure 1). Mice were killed upon signs of distress/disease. All mice were kept in a pathogen free animal facility. All experiments were conducted under UK home office regulations. Mouse histology and tissue sample preparation were performed as previously described
Flow cytometry analysis
Cell apoptosis and cell cycle analysis were performed as previously described on an ADP flow cytometer (Dako, Stockport, UK), and all data analyzed with FlowJo software (Tree Star, Inc., Ashland, OR, USA).
Patient material
Peripheral blood or bone marrow containing >80% blasts, was obtained from patients following consent and under full ethical approval at each involved institute.
Antibodies
The following antibodies were used in ChIP assays, western blotting assays and for immunoprecipitation: anti-H3 (ab1791; Abcam, Cambridge, UK), anti-BRD4 (A301-985A; Bethyl Labs, Montgomery, TX, USA); anti-GFP (ab290; Abcam) and Rabbit polyclonal IgG (ab27472; Abcam). Antibodies used for immunofluorescence were anti-BRD4 (ab75898; Abcam) and Alex Fluor-488-conjugated IgG (Invitrogen, Paisley, UK) immunofluorescence 1:250.
Immunofluorescence microscopy
Haematopoietic cells were washed once in 1 × phosphate buffered saline before cytocentrifugation onto polylysine coated microscope slides. Cells were fixed with buffered 4% paraformaldehyde, and following stepwise incubation with primary and then secondary fluorescent antibody (see antibodies) cells were stained with Hoechst 33258 (Sigma-Aldrich) and mounted with Vectashield mounting medium (Vector Laboratories, Peterborough, UK). Confocal laser images were captured with an Olympus Fluoview FV1000 microscope equipped with a 40 × oil lens (Olympus, Southend-on-Sea, UK). Image processing was carried out using PHOTOSHOP (Adobe systems, San Jose, CA, USA).
Microarray and bioinformatics analysis
RNA from OCI-AML3 was extracted after 6 h of treatment with I-BET151 and processed as described before hybridization to Illumina Human HT12 v4 BeadChips (Illumina, San Diego, CA, USA). Gene expression data were processed using the lumi package in R. Probes were filtered to remove those where the detection P-value (representing the confidence that expression is above the background of the negative control probe) was greater than 0.01 in all samples. Expression data were transformed using variance stabilization, then normalized using quantile normalization. Comparisons between the dimethyl sulfoxide- and BET-inhibitor-treated samples for all three cell lines (OCI-AML3, MV4;11 and MOLM13) were performed using the R package limma. Genes with a false discovery rate below 5% and a fold-change greater than two were considered significant. Agglomerative hierarchical clustering of the most downregulated genes was performed in R using complete linkage on the pairwaise Euclidean distance between gene signatures, and clusters were identified based on a cutoff of 10.
ChIP-seq analysis
Sequenced reads were mapped to the reference human genome (hg19) using the Burrows–Wheeler aligner with default parameters. Only reads mapped with a mapping quality score >10 were retained, and multiple reads mapping to identical genomic loci were removed to limit potential PCR bias. Reads were extended along their strand to the estimated fragment size of 300 bp. Peaks were called using Model-based analysis of ChIP-seq with standard parameters. The distribution of reads about the transcriptional start site of all protein-coding genes >1 kb, as well as lincRNAs, miRNAs, snoRNAs and snRNAs, was calculated using the Repitools package in R.
Assigning enhancer and super-enhancer regions to specific genes
Enhancer and super-enhancer regions were defined as per Young and colleagues, based upon ChIP-seq enrichment for the mediator complex member MED1, the histone mark H3K27Ac and distance from promoters as defined by H3K4Me3 in the MMI.S cell line. As there was an exceptionally strong correlation between MED1 and BRD4 binding intensity at enhancer regions in MM1.S cells, we estimated the number of ChIP-seq reads mapped to these enhancer regions for BRD4 binding in the OCI-AML3 cell line following treatment with dimethyl sulfoxide and I-BET, respectively. For both the treatments, reads per million were estimated and enhancer regions were ranked according to increasing BRD4 signal. Genes (N=6725) that were within 50 kb were assigned to the enhancer regions. Only a few genes were assigned to more than one enhancer.
BET inhibition demonstrates efficacy across a number of AML subtypes
To determine if BET proteins are valid therapeutic targets in other AML subtypes, we assessed the sensitivity of a representative panel of cell lines with common recurrent AML mutations to inhibition by I-BET151 (hereafter I-BET) in growth and colony formation assays (Figures 1a and b and data not shown). These data demonstrate that in addition to cell lines harboring MLL translocations, a number of AML cell lines including OCI-AML3 (which is the only human cell line that contains an NPM1c mutation), KG-1 (FGFR1OP2-FGFR1 rearrangement), SKM1 (EZH2 Y641C mutation), Kasumi (AML1-ETO rearrangement) and ME-1 (CBFβ-MYH11 rearrangement) show sensitivity to treatment with I-BET, both in liquid culture and clonogenic assays (Figures 1a and b and data not shown). Moreover, murine bone marrow progenitors retrovirally transduced with poor-risk AML-associated fusion oncogenes for which no human cell lines exist, such as MOZ-TIF2 and NUP98-HOXA9 also demonstrated sensitivity (Figure 1c). Although the sensitivity varied over a relatively wide range, the majority of cell lines were inhibited at concentrations predicted to be achievable in vivo (Figure 1a and Supplementary Figure 1). Similar to our observations in the MLL-rearranged leukemias, I-BET induced a rapid and profound apoptosis and G0/G1 cell cycle arrest in non-MLL fusion AML cell lines (Figures 1d and e and data not shown). Finally, sensitivity to I-BET was also demonstrated in clonogenic assays in primary samples from patients with non-MLL fusion AML (Figure 1f and Supplementary Table 1), and I-BET was shown to induce apoptosis across multiple non-MLL fusion patient samples (Figures 1g and h). Taken together, our findings demonstrate the efficacy of I-BET against a broad range of AML cells with disparate oncogenic mutations and suggest clinical utility across a wide range of AML subtypes.
BET proteins regulate a ‘core' transcriptional program in AML
We have previously demonstrated that inhibition of BET proteins alters a specific transcriptional program in MLL-rearranged leukemias, with downregulation of genes within this program, such as BCL2 and C-MYC, leading to the induction of apoptosis and cell cycle arrest. On the basis of our demonstration of similar cellular phenotypic consequences following I-BET treatment in sensitive AML cell lines, we hypothesized that downregulation of a similar transcriptional program may have mediated these findings. To test this hypothesis, we analyzed the changes in gene expression following 6 h of I-BET treatment (before significant changes in cell cycle and apoptosis are evident) in the sensitive cell lines OCI-AML3 and SKM1, containing NPM1c and EZH2 Y641C mutations, respectively. Similarly to the MV4;11- and Molm13 MLL-rearranged cell lines, only a relatively small number of genes demonstrated a significant alteration in expression in either cell line, with the majority of genes unchanged (Figures 2a and b). This corroborates our previous finding of the specificity of inhibition of BET proteins on overall gene expression in AML. Although a number of genes were uniquely altered, remarkably, the degree of overlap of the transcriptional changes between OCI-AML3, SKM1 and each of the MLL cell lines was similar to the overlap between the two MLL cell lines themselves and there was a high degree of correlation between the genes (Figure 2c and Supplementary Figure 2A). Importantly, the expression of 26 genes was commonly downregulated in all four cell lines following I-BET treatment (Figure 2c and Supplementary Table 2). This gene set, which includes several critical regulators of myelopoiesis and leukemia including BCL2, C-MYC and IRF8, was also downregulated in other AML cell lines sensitive to I-BET (Supplementary Figure 2B). Moreover, decreased expression of a subset of the same genes was demonstrated in primary patient AML samples following I-BET treatment (Figure 2d and Supplementary Table 1). Of particular interest, genes from the HOXA cluster do not form part of this core transcriptional program (Supplementary Table 2). Taken together, this inhibition of common critical leukemia regulators following I-BET treatment in a range of AML subtypes demonstrates that BET proteins regulate the expression of a ‘core' transcriptional program in AML and that this program is HOX gene independent. Although BRD4 is present ubiquitously at promoter and enhancer elements, it has recently been demonstrated that the expression levels of certain genes are more susceptible to BRD4 inhibition. A feature of these responsive genes appears to be the presence of super-enhancers. Using the same methodology described by Young and colleagues, we find that nearly half (12/26) of the genes present within the core transcriptional program contain super-enhancers and BRD4 binding to these regions is dramatically decreased following just 6 h of inhibition with I-BET151 (Figure 2e).
The BET-dependent core transcriptional program classifies patients with AML into groups that differ in their specific molecular subtype and may predict response to BET inhibition
We next assessed the expression levels of the genes within the BET-dependent program in a large series of untreated AML patients at diagnosis. Of the 26 genes within the program, we were able to assess the levels of expression of 18 of these in a large series of 436 patients. Using unsupervised clustering, this gene set classified the patient samples into six groups (Figure 3a). Moreover, these groups demonstrated statistically significant differences in the proportions of known prognostic factors such as karyotype (P<0.0001, Figure 3b) and mutation status for the NPM1c (P=0.019, Figure 3c) and FLT3-ITD mutations (P=0.02, Supplementary Figure 3). Of particular interest, patients with predicted sensitive genotypes, such as those patients with MLL-fusion leukemias significantly clustered within specific groups (Figure 3b). Taken together with the downregulation of this core program upon experimental treatment with I-BET, these data raise the possibility that the genes within the core program may not only provide putative transcriptional biomarkers of response, but may also assist with determining sensitive patients before therapy.
The NPM1c mutation relieves inhibition of BET proteins, facilitating upregulation of the ‘core' AML transcriptional program
Our results suggest that BET inhibition is likely to be effective in a broad range of AML subtypes. However, the molecular mechanism underpinning this efficacy is likely to vary depending on the mutational spectrum of individual cases, with BET proteins serving as a common terminal effector of transcription downstream of these mutations. We had previously described the underlying molecular mechanism for BET inhibitors in MLL-fusion AML, and we next chose to address the mechanism of action of this emerging epigenetic therapy in NPM1c AML. Our previous characterization of the nuclear BET protein interactome had identified an interaction between BRD4 and a proportion of WT NPM1 with three separate proteomic methodologies in HL60 cells. We could further document that a portion of BRD4 colocalizes with WT NPM1 in primary samples from AML patients (Supplementary Figure 4). Although NPM1c has previously been shown to result in an excess of cytoplasmic NPM1, we noted that the vast majority of BRD4 in OCI-AML3 was retained in the nucleus (Supplementary Figure 5A). We therefore hypothesized that the NPM1–BRD4 interaction may repress the transcriptional activity of the proportion of BRD4 that interacts with NPM1. We therefore reasoned that cytoplasmic dislocation of NPM1 may abrogate this repressive interaction leading to aberrant gene expression.
Normal cytoplasmic shuttling of NPM1 occurs in a CRM1-dependent manner, and to test our hypothesis we restored nuclear NPM1 with the CRM1 inhibitor Leptomycin B (LMB). The prediction of our hypothesis would be that LMB treatment would restore nuclear NPM1c and negatively regulate BRD4-dependent transcription at critical loci. As LMB treatment may lead to pleiotrophic effects we first established that LMB treatment for a period of 6 h did not lead to discernible phenotypic effects on apoptosis and cell cycle progression in the cell lines (Supplementary Figure 5B and C and data not shown). We then tested the effects of LMB treatment on gene expression and BRD4 binding at two critical loci from the core transcriptional program, BCL2 and C-MYC, in NPM1c mutant OCI-AML3 cells. As a further control we also treated the I-BET sensitive but NPM1 WT KG-1 cells with LMB. For comparison, the effects on transcription and BRD4 binding were also assessed in both cell lines following I-BET treatment. In OCI-AML3 (NPM1c) cells, relocation of NPM1c into the nucleus with LMB phenocopied treatment with I-BET in downregulating expression of both BCL2 and C-MYC (Figures 4a and b). In contrast, in NPM1 WT KG-1, no effect was seen following LMB treatment and only I-BET treatment decreased expression of BCL2 and C-MYC (Figures 4a and b). In OCI-AML3, as anticipated, we found that the decrease in gene expression of BCL2 and C-MYC following LMB and I-BET treatment was accompanied by a concomitant decrease in BRD4 binding at the transcriptional start sites of these genes (Figures 4c and d). However, in KG-1 cells, BRD4 binding only decreased following I-BET treatment (Figures 4c and d). To assess if this relationship was observed at a global level we performed chromatin immunoprecipitation followed by next-generation sequencing (ChIP-seq) experiments for BRD4 binding following treatment with dimethyl sulfoxide vehicle, I-BET or LMB in OCI-AML3 cells. In keeping with the expression patterns following these perturbations, the binding of BRD4 was only marginally altered at the majority of loci whose expression remained unchanged following treatment with either LMB or I-BET (Figure 4e). However, in genes whose expression was significantly downregulated following I-BET administration, an obvious decrease in BRD4 binding was demonstrated at the transcriptional start site following treatment with either I-BET or LMB (Figures 4e–g).
To expand on these data, we used K562 cells (which carry germline NPM1 alleles) and expressed GFP-NPM1c in a proportion of these cells, allowing us to mechanistically test our hypothesis in an isogenic background (Supplementary Figure 6). In these cells we could demonstrate that LMB relocated the majority of the NPM1c to the nucleus (Figure 5a) and this restored the interaction between BRD4 and NPM1c (Figure 5b). Furthermore, in these cells the expression of NPM1c increased the expression of exemplar genes from our core transcriptional program (Supplementary Figure 6), in comparison with control cells. Taken all together, these data are consistent with our hypothesis that nuclear NPM1 exerts a repressive effect on BRD4 and decreases transcription at certain critical loci via a reduction of BRD4 chromatin binding. Loss of this inhibitory effect via NPM1c mutation would explain, at least in part, the aberrant transcriptional regulation evident in NPM1c AML and would also explain the sensitivity of this disease to BET inhibition.
I-BET is a promising preclinical agent against NPM1c AML
NPM1c AML represents one of the largest subtypes of AML patients and has a variable prognosis, dependent upon the presence of cooperating mutations. For example, co-occurrence of NPM1c with internal tandem duplication of the FLT3 gene (FLT3-ITD) and DNMT3A mutations (as occurs in the OCI-AML3 cell line) is common and confers a relatively poor prognosis., Therefore, to further assess the efficacy of I-BET against NPM1c AML in cooperation with a number of other mutations, we utilized leukemia cells from an elegant, recently described murine model. In this model, NPM1c drives leukemia in cooperation with a range of other mutations generated through transposon-based insertional mutagenesis leading to unique tumors in each case with identified cooperating mutations in addition to NPM1c (Vassiliou et al.). Leukemia cells from all six independent tumors tested demonstrated sensitivity to I-BET in both liquid culture (with IC50 values ranging from 120–312 nM) and colony formation assays (Figures 6a and b). Furthermore, sensitivity of NPM1c AML to I-BET in vivo was confirmed following transplant of leukemia cells from three separate NPM1c AML tumors into NOD-SCID IL-2Rγ −/− recipient mice. In these preclinical models, I-BET therapy was not instituted until overwhelming disease burden was demonstrated by flow cytometry of peripheral blood (day 11 post transplant), mimicking the presentation of patients with AML in the clinic. Across all tumors, a significant survival advantage (P=0.01) was demonstrated for mice treated with I-BET in comparison with vehicle-treated controls (Figure 6c and Supplementary Tables 3 and 4). Of specific relevance for human AML, in leukemia driven by both NPM1c and a FLT3 activating mutation a highly significant survival advantage was demonstrated (P=0.008)(Figure 6d). Although the survival advantage observed in this in vivo model is modest, it is important to note that in contrast to many published studies assessing the efficacy of small molecules in vivo, we commenced treatment only once established disease was demonstrated to mimic the scenario observed clinically. Despite this, we still established a significant survival advantage in keeping with those previously reported with BET inhibitors and other novel epigenetic therapies in models of AML,, lymphoma and multiple myeloma. Moreover, at necropsy, tumor bulk was considerably lower in all recipient mice treated with I-BET, as evidenced by histology, peripheral white cell count and spleen weight (Figures 6e–g).
Finally, we tested the efficacy of I-BET to inhibit clonal growth of samples from NPM1c AML patients. The majority (four out of five) of these samples also carried FLT3-ITD mutations (Supplementary Table 1). As is shown, colony number was significantly decreased in all cases and increased apoptosis and characteristic transcriptional changes were also evident (Figure 6h, Figure 1e and Figure 2c). Together with the murine studies, these data demonstrate that, regardless of the nature of the cooperating mutation, NPM1c leukemias are highly sensitive to growth inhibition by I-BET.
Discussion
AML remains an unmet medical need. Novel therapies are therefore urgently required, particularly therapeutics with toxicities acceptable for the increasingly elderly population who present with AML. In this report, we demonstrate that a wide range of disparate AML subtypes are sensitive to growth inhibition in vitro following I-BET151 treatment, a specific inhibitor of BET proteins that we have previously shown to be of low toxicity in preclinical studies., These data suggest the clinical utility of BET inhibition across a number of AML subtypes. Of note, the related BET inhibitor I-BET762 is currently in clinical trials for NUT midline carcinoma, an aggressive epithelial carcinoma characterized by genomic rearrangement of BRD4 or BRD3 (ClinicalTrials.gov identifier: NCT01587703). Our findings with I-BET151 and those with another inhibitor of BET proteins, JQ1, in AML, now provide the basis for early phase clinical trials in these often fatal malignancies.
Our findings also demonstrate that BET proteins are transcriptional regulators of genes critically required for leukemogenesis. We have previously defined a set of genes in MLL-rearranged AML cell lines whose expression is altered following treatment with I-BET, but it was unknown whether a similar transcriptional program was required in other sensitive AML subtypes. When similar experiments were performed in other AML cell lines, an obvious overlap with the MLL program was evident. This overlap contains 26 genes that are consistently downregulated and includes the critical regulators of myelopoiesis and leukemogenesis BCL2, C-MYC and IRF8. Although MLL fusion and NPM1c AML subtypes are associated with the aberrant expression of HOXA genes,, the common transcription program and the profound in vitro and in vivo effects of BET inhibitors in these leukemias are independent of downregulation of the HOXA genes. Interestingly, a number of the common genes derived from our analyses in AML cell lines contain super-enhancers that are exquisitely sensitive to BRD4 inhibition by I-BET151. Notably, many of the genes downregulated in the human AML cell lines were also downregulated following I-BET treatment in multiple primary AML samples from patients with disparate genotypes. In addition, our 26-gene signature could classify AML into distinct molecular subgroups raising the possibility that this core transcriptional signature can provide biomarkers to predict sensitivity to BET inhibition and may also be used prospectively to monitor patient response to BET inhibition in real time. We propose that this gene set comprises a ‘core' BET-responsive transcriptional program abnormally regulated in AML, and that abrogation of this program underpins the apoptosis and cell cycle arrest that are uniform upon I-BET therapy.
Our studies also shed direct light on one of the prevailing mysteries in AML biology: the mechanisms of transcriptional dysregulation in NPM1c AML. We have previously demonstrated that WT NPM1 and BRD4 interact and further demonstrate this interaction in primary AML cells with WT NPM1. Our data predict that NPM1c mutations relieve an inhibitory interaction with BRD4 through cytosolic dislocation of NPM1c and WT NPM1, allowing BRD4 to activate aberrant transcription in NPM1c AML (Figure 7). In support of our hypothesis, we demonstrate that restoration of nuclear NPM1c following treatment with the CRM1 inhibitor LMB restores the NPM1–BRD4 interaction and downregulates expression of critical genes, such as BCL2 and C-MYC through a reduction in BRD4 recruitment to chromatin. Restoration of nuclear NPM1 following LMB treatment closely phenocopies the inhibitory effects of I-BET on transcription and BRD4 chromatin binding (Figure 7).
We and others have previously demonstrated the preclinical efficacy of BET inhibition in MLL-rearranged leukemias, and here we report a similar in vitro sensitivity of AML with NPM1c mutations. NPM1c AML represents one of the single largest AML subgroups, comprising around 35% of all cases, and has a variable prognosis. This prognosis is largely dependent upon the presence or absence of other ‘cooperating' mutations, particularly the FLT3-ITD mutation. Importantly, our findings demonstrate that NPM1c AML cells are uniformly sensitive to I-BET inhibition regardless of the nature of the cooperating mutations (Figures 6a–h and Supplementary Tables 1, 3 and 4). These include mutations known to predict poor prognosis, including DNMT3A and the FLT3-ITD. Of particular clinical relevance, around 15% of cases of AML harbor both an NPM1c mutation and a FLT3-ITD, and these patients have a relatively poor prognosis. Here, we demonstrate sensitivity to I-BET in both primary human AML cells and a mouse model that carry both an NPM1c mutation and an activating mutation of FLT3, suggesting significant clinical utility in this poor-risk subgroup.
Taken together, our data greatly inform the pathogenesis of NPM1c AML and provide compelling evidence supporting clinical trials of BET inhibitors across multiple AML subtypes. Moreover, our data identify potential predictive biomarkers of sensitivity and response to inform these studies. Novel, nontoxic, targeted therapies are desperately required in AML, and we eagerly await results of trials of BET inhibition in this aggressive hematological malignancy.
References 31
- 1.
Estey E Dohner H Acute myeloid leukaemiaLancet2006 36818941907
Not in our library10.1016/s0140-6736(06)69780-8
- 2.
Rosenbauer F Tenen DG Transcription factors in myeloid development: balancing differentiation with transformationNat Rev Immunol2007 7105117
Not in our library10.1038/nri2024
- 3.
Hou H-A Lin C-C Chou W-C Liu C-Y Chen C-Y Tang J-L Integration of cytogenetic and molecular alterations in risk stratification of 318 patients with de novo non-M3 acute myeloid leukemiaLeukemia2013 e-pub ahead of print 9 August 2013
Not in our library10.1038/leu.2013.236
- 4.
Conte N Varela I Grove C Manes N Yusa K Moreno T Detailed molecular characterisation of acute myeloid leukaemia with a normal karyotype using targeted DNA captureLeukemia2013 2718201825
Not in our library10.1038/leu.2013.117
- 5.
Dawson MA Kouzarides T Huntly BJ Targeting epigenetic readers in cancerN Engl J Med2012 367647657
Not in our library10.1056/nejmra1112635
- 6.
Dawson MA Prinjha RK Dittmann A Giotopoulos G Bantscheff M Chan WI Inhibition of BET recruitment to chromatin as an effective treatment for MLL-fusion leukaemiaNature2011 478529533
Not in our library10.1038/nature10509
- 7.
Zuber J Shi J Wang E Rappaport AR Herrmann H Sison EA RNAi screen identifies Brd4 as a therapeutic target in acute myeloid leukaemiaNature2011 478524528
Not in our library10.1038/nature10334
- 8.
Delmore JE Issa GC Lemieux ME Rahl PB Shi J Jacobs HM BET bromodomain inhibition as a therapeutic strategy to target c-MycCell2011 146904917
Not in our library10.1016/j.cell.2011.08.017
- 9.
Mertz JA Conery AR Bryant BM Sandy P Balasubramanian S Mele DA Targeting MYC dependence in cancer by inhibiting BET bromodomainsProc Natl Acad Sci USA2011 1081666916674
Not in our library10.1073/pnas.1108190108
- 10.
Falini B Mecucci C Tiacci E Alcalay M Rosati R Pasqualucci L Cytoplasmic nucleophosmin in acute myelogenous leukemia with a normal karyotypeN Engl J Med2005 352254266
Not in our library10.1056/nejmoa041974
- 11.
Falini B Bolli N Shan J Martelli MP Liso A Pucciarini A Both carboxy-terminus NES motif and mutated tryptophan(s) are crucial for aberrant nuclear export of nucleophosmin leukemic mutants in NPMc+ AMLBlood2006 10745144523
Not in our library10.1182/blood-2005-11-4745
- 12.
Grummitt CG Townsley FM Johnson CM Warren AJ Bycroft M Structural consequences of nucleophosmin mutations in acute myeloid leukemiaJ Biol Chem2008 2832332623332
Not in our library10.1074/jbc.m801706200
- 13.
Sherr CJ Divorcing ARF and p53: an unsettled caseNat Rev Cancer2006 6663673
Not in our library10.1038/nrc1954
- 14.
Bolli N De Marco MF Martelli MP Bigerna B Pucciarini A Rossi R A dose-dependent tug of war involving the NPM1 leukaemic mutant, nucleophosmin, and ARFLeukemia2009 23501509
Not in our library10.1038/leu.2008.326
- 15.
Vassiliou GS Cooper JL Rad R Li J Rice S Uren A Mutant nucleophosmin and cooperating pathways drive leukemia initiation and progression in miceNat Genet2011 43470475
Not in our library10.1038/ng.796
- 16.
Alcalay M Tiacci E Bergomas R Bigerna B Venturini E Minardi SP Acute myeloid leukemia bearing cytoplasmic nucleophosmin (NPMc+ AML) shows a distinct gene expression profile characterized by up-regulation of genes involved in stem-cell maintenanceBlood2005 106899902
Not in our library10.1182/blood-2005-02-0560
- 17.
Loven J Hoke HA Lin CY Lau A Orlando DA Vakoc CR Selective inhibition of tumor oncogenes by disruption of super-enhancersCell2013 153320334
Not in our library10.1016/j.cell.2013.03.036
- 18.
Kharas MG Lengner CJ Al-Shahrour F Bullinger L Ball B Zaidi S Musashi-2 regulates normal hematopoiesis and promotes aggressive myeloid leukemiaNat Med2010 16903908
Not in our library10.1038/nm.2187
- 19.
Falini B Bolli N Liso A Martelli MP Mannucci R Pileri S Altered nucleophosmin transport in acute myeloid leukaemia with mutated NPM1: molecular basis and clinical implicationsLeukemia2009 2317311743
Not in our library10.1038/leu.2009.124
- 20.
Patel JP Gonen M Figueroa ME Fernandez H Sun Z Racevskis J Prognostic relevance of integrated genetic profiling in acute myeloid leukemiaN Engl J Med2012 36610791089
Not in our library10.1056/nejmoa1112304
- 21.
Mupo A Celani L Dovey O Cooper JL Grove C Rad R A powerful molecular synergy between mutant Nucleophosmin and Flt3-ITD drives acute myeloid leukemia in miceLeukemia2013 2719171920
Not in our library10.1038/leu.2013.77
- 22.
Daigle SR Olhava EJ Therkelsen CA Majer CR Sneeringer CJ Song J Selective killing of mixed lineage leukemia cells by a potent small-molecule DOT1L inhibitorCancer Cell2011 205365
Not in our library10.1016/j.ccr.2011.06.009
- 23.
Wyspianska BS Bannister AJ Barbieri I Nangalia J Godfrey A Calero-Nieto FJ BET protein inhibition shows efficacy against JAK2V617F-driven neoplasmsLeukemia2013 e-pub ahead of print 6 September 2013
Not in our library10.1038/leu.2013.234
- 24.
Nicodeme E Jeffrey KL Schaefer U Beinke S Dewell S Chung CW Suppression of inflammation by a synthetic histone mimicNature2010 46811191123
Not in our library10.1038/nature09589
- 25.
Armstrong SA Staunton JE Silverman LB Pieters R den Boer ML Minden MD MLL translocations specify a distinct gene expression profile that distinguishes a unique leukemiaNat Genet2002 304147
Not in our library10.1038/ng765
- 26.
Kvinlaug BT Chan WI Bullinger L Ramaswami M Sears C Foster D Common and overlapping oncogenic pathways contribute to the evolution of acute myeloid leukemiasCancer Res2011 7141174129
Not in our library10.1158/0008-5472.can-11-0176
- 27.
Dawson MA Foster SD Bannister AJ Robson SC Hannah R Wang X Three distinct patterns of histone H3Y41 phosphorylation mark active genesCell Rep2012 2470477
Not in our library10.1016/j.celrep.2012.08.016
- 28.
Du P Kibbe WA Lin SM Lumi: a pipeline for processing Illumina microarrayBioinformatics2008 2415471548
Not in our library10.1093/bioinformatics/btn224
- 29.
Lin SM Du P Huber W Kibbe WA Model-based variance-stabilizing transformation for Illumina microarray dataNucleic Acids Res2008 36e11
Not in our library10.1093/nar/gkm1075
- 30.
Li H Durbin R Fast and accurate short read alignment with Burrows-Wheeler transformBioinformatics2009 2517541760
Not in our library10.1093/bioinformatics/btp324
- 31.
Cited by papers we hold 7
- Super-enhancer function and its application in cancer targeted therapy · 2020No notice
- Bromodomain and Extra-Terminal Motif Inhibitors: a Review of Preclinical and Clinical Advances in Cancer Therapy · 2019No notice
- Targeting enhancer switching overcomes non-genetic drug resistance in acute myeloid leukaemia · 2019No notice
- Widespread intron retention diversifies most cancer transcriptomes · 2015No notice
- Inhibition of BET bromodomains as a therapeutic strategy for cancer drug discovery · 2015No notice
- BET inhibitor OTX015 targets BRD2 and BRD4 and decreases c-MYC in acute leukemia cells · 2015No notice
- Discovery and development of the Polo-like kinase inhibitor volasertib in cancer therapy · 2014No notice
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