Literature DB >> 27677740

BET protein bromodomain inhibitor-based combinations are highly active against post-myeloproliferative neoplasm secondary AML cells.

Dyana T Saenz1, Warren Fiskus1, Taghi Manshouri1, Kimal Rajapakshe2, Stephanie Krieger1, Baohua Sun1, Christopher P Mill1, Courtney DiNardo1, Naveen Pemmaraju1, Tapan Kadia1, Simrit Parmar3, Sunil Sharma4, Cristian Coarfa2, Peng Qiu5, Srdan Verstovsek1, Kapil N Bhalla1.   

Abstract

Myeloproliferative neoplasms with myelofibrosis (MPN-MF) demonstrate constitutive activation of Janus kinase/signal transducer and activator of transcription (JAK/STAT) signaling that responds to treatment with the JAK1 and 2 kinase inhibitor (JAKi) ruxolitinib. However, MPN-MF often progresses (~20%) to secondary acute myeloid leukemia (sAML), where standard induction chemotherapy or ruxolitinib is relatively ineffective, necessitating the development of novel therapeutic approaches. In the present studies, we demonstrate that treatment with BET (bromodomain and extraterminal) protein inhibitor (BETi), for example, JQ1, inhibits growth and induces apoptosis of cultured and primary, patient-derived (PD), post-MPN sAML blast progenitor cells. Reverse-phase protein array, mass-cytometry and Western analyses revealed that BETi treatment attenuated the protein expressions of c-MYC, p-STAT5, Bcl-xL, CDK4/6, PIM1 and IL-7R, whereas it concomitantly induced the levels of HEXIM1, p21 and BIM in the sAML cells. Co-treatment with BETi and ruxolitinib synergistically induced apoptosis of cultured and PD sAML cells, as well as significantly improved survival of immune-depleted mice engrafted with human sAML cells. Although BETi or heat shock protein 90 inhibitor (HSP90i) alone exerted lethal activity, cotreatment with BETi and HSP90i was synergistically lethal against the ruxolitinib-persister or ruxolitinib-resistant sAML cells. Collectively, these findings further support in vivo testing of BETi-based combinations with JAKi and HSP90i against post-MPN sAML cells.

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Year:  2016        PMID: 27677740      PMCID: PMC5345582          DOI: 10.1038/leu.2016.260

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


INTRODUCTION

Myeloproliferative neoplasms with myelofibrosis (MPN-MF) express mutation in JAK2 (JAKV617F and exon 12 mutations), the thrombopoietin receptor c-MPL, or calreticulin (CALR) gene and exhibit constitutive activation of JAK-STAT signaling[1,2]. Ruxolitinib is a type I, ATP-competitive, wild-type and mutated JAK1 & 2 inhibitor (JAK-I) currently used as therapy for MPN-MF[3,4]. As a single agent, ruxolitinib confers notable clinical benefit by reducing the disease-related symptoms, splenomegaly, and improving patient survival in MPN-MF[4-6]. Ruxolitinib-induced responses and survival improvement occur independent of co-mutations in the genes other than JAK2, MPL and CALR[7]. However, continuous exposure to ruxolitinib only modestly reduces the allelic burden of the mutant JAK2[3]. Prolonged exposure to ruxolitinib may also lead to a loss of response, causing the emergence of drug-tolerant and persistent (DTP) cells, or JAK inhibitor-resistant (JIR) cells[8-10]. Although lacking in additional mutations in JAK2, JIR cells exhibit reactivation of JAK-STAT signaling due to transphosphorylation of JAK2 by JAK1 or TYK2 tyrosine kinases (TK) [10,11]. One-third of patients with MPN-MF exhibit recurrent mutations in genes encoding for chromatin modifiers (e.g., TET2 and IDH1 & 2) and splicing factors (e.g., SRSF2) [12,13]. Co-mutations in ASXL1, TET2 and SRSF2 are associated with poorer spleen response, treatment discontinuation and adverse outcome in ruxolitinib-treated patients with MF[13-15]. Recurrent SRSF2 mutations are especially associated with shorter leukemia free survival[14,15]. The presence of 2 or more somatic mutations is strongly associated with the risk of AML transformation (sAML)[12,13]. Transformation to AML occurs in up to 20% of patients with MPN-MF[13,16]. Ruxolitinib exhibits modest activity and does not significantly impact the clinical outcome in sAML, where standard anthracycline and Ara-C-based chemotherapy is also mostly ineffective and may be associated with hematologic toxicity[16-18]. In sAML versus de novo AML, the recurrent, ‘driver’, somatic mutations are appreciably different, e.g. NPM1 and FLT3 mutations are rarely observed[16,19,20]. Sequential genomic assessments in pre- and post-sAML transformation have revealed mutations in TET2, ASXL1, IDH1 & 2, SRSF2, RUNX1, MYC, PTPN11, NRAS, SETBP1 and TP53 genes[16,19]. A co-occurrence of JAK2 V617F and mutant TP53 was documented in the dominant clones of sAML[19,20]. Since treatment with JAKi is ineffective, it is important to identify and elucidate the activity of novel agents for the therapy of the post-MPN sAML[16,18]. The family of BET (bromodomain and extraterminal) proteins, including BRD4, are chromatin reader proteins that contain the N-terminal, double-tandem bromodomains, which bind to the acetylated lysine on the nucleosomal histones and transcription factors[21]. BET proteins also contain an extra-terminal (ET) domain in the C-terminus, through which they interact and recruit co-regulatory chromatin modifying enzymes, remodeling factors and the mediator elements to the chromatin for regulating gene transcription[21, 22]. The C-terminal domain (CTD) of BRD4 also interacts with pTEFb (positive transcription elongation factor b), the heterodimer composed of cyclin dependent kinase 9 (CDK9) and its regulatory subunit cyclin T [23]. After recruitment to the gene promoters, the kinase activity of CDK9 in pTEFb phosphorylates serine 2 of the heptad repeats in the C-terminal domain (CTD) of RNA pol II (RNAP2), enabling it to mediate mRNA transcript elongation[21, 24]. Thus, BRD4 couples histone acetylation to transcript elongation, especially at the enhancers and promoters of oncogenes, including c-MYC, BCL-2, PIM1 and CDK4/6 that are regulated by clustered or ‘super’ enhancers and are important for cell growth and survival of AML cells[21, 25]. Although sustained inducible genetic knockdown of BRD4 causes multiple (but reversible) organ toxicities, pertinent to therapy, an RNAi screen identified BRD4 as an effective and promising target in AML cells[26, 27]. Several structure/activity-based BET protein small-molecule, acetyl-lysine-mimetic inhibitors (BET-I) have been developed, including JQ1, OTX-015 and GSK525762 [28, 29]. These agents displace BET proteins, along with the associated transcript initiation and elongation factors, from the chromatin, causing transcriptional repression of BCL-2, c-MYC, CDK4/6[28,29]. Recently, we and others have demonstrated that BETis, e.g., JQ1 and I-BET-151, inhibit in vitro and in vivo growth and induce apoptosis of cultured and primary AML cells, especially those expressing MLL fusion-oncoproteins, mutant NPM1 and/or FLT3-ITD[30,31]. Additionally, co-treatment with BETi and FLT3-TKI exhibited synergistic lethality against AML expressing FLT3-ITD[32]. BETi was also shown to retain lethal activity against AML cells resistant to FLT3-TKIs[32]. However, none of these reports determined the pre-clinical activity of BET-I alone, or in combination with JAKi, against cultured and patient-derived (PD), CD34+ sAML blast progenitor cells. In the present studies, we determined that treatment with BETi attenuates the expression of c-MYC, p-STAT5, PIM1 and CDK4/6, inhibits growth and induces apoptosis of JAKi-sensitive or -resistant sAML cells, including those that co-express JAK2V617F and mutant TP53, e.g., HEL92.1.7 and SET2 cells. Additionally, we demonstrate that co-treatment with BETi and JAKi (ruxolitinib, pacritinib or SAR302503) is synergistically lethal against sAML cells sensitive to JAKi. Based on our previously reported observation that treatment with the heat shock protein 90 inhibitor (HSP90i) depletes mutant JAK2, AKT and c-RAF, as well as induces apoptosis of JAKi-resistant sAML cells[8], here we also show that combined therapy with BETi and HSP90i exerts synergistic lethality against JAKi-resistant sAML cells.

Materials and Methods

Cell lines and cell culture

Human erythroleukemia HEL 92.1.7 (HEL) and SET2 cells expressing mutant JAK2-V617F and TP53 were obtained from ATCC (Manassas, VA) and the DSMZ (Braunschweig, Germany), respectively. All experiments with the cell lines were performed within 6 months after thawing or obtaining from ATCC or DSMZ. HEL92.1.7 ruxolitinib-persister cells were generated by exposing the cells to 1.0 μM of ruxolitinib for 48 hours. Dead cells were removed by Ficoll Hypaque density gradient centrifugation. Live cells were expanded in drug-free media and then treated with two additional rounds of identical ruxolitinib treatments and recovery. After this the viable, expanded cells were treated with JQ1 and/or AUY922 for the described studies.

Purification and next-generation sequencing of PD post MPN-MF secondary AML cells

Patient-derived peripheral blood and/or bone marrow aspirate samples were obtained with informed consent from patients with secondary AML transformed from high risk (≥ 3) MF (according to the International Prognostic Scoring System, IPSS) and processed as previously described[8]. Detailed methods for targeted next-generation sequencing (NGS) of DNA from 23 sAML samples are in the Supplemental Methods.

Assessment of apoptosis by annexin-V staining

Untreated or drug-treated cells were stained with Annexin-V (Pharmingen, San Diego, CA) and TO-PRO-3 iodide and the percentages of apoptotic cells were determined by flow cytometry as previously described[8, 32]. For patient-derived sAML cells, loss of viability following drug treatment was determined as previously described[8, 32].

Reverse phase protein array (RPPA) and single cell mass cytometry (CyTOF) analysis

Detailed methods for the processing and analysis of sAML cells by RPPA and CyTOF are provided in the Supplemental Methods.

In vivo model of secondary acute myeloid leukemia

Detailed methods for the generation and treatment of mice engrafted with secondary AML cells are provided in the Supplemental Methods.

Statistical Analysis

Significant differences between values obtained in a population of sAML cells treated with different experimental conditions were determined using a two-tailed, unpaired t-test. P values of less than 0.05 were assigned significance.

RESULTS

BETi treatment attenuates the levels of IL-7R, JAK2-pSTAT5 and c-MYC while inducing caspases 3 and 7 in post-MPN sAML cells

In a previous report we had demonstrated that treatment with the BETi JQ1 reduces the binding and occupancy of BRD4 on the chromatin associated with c-MYC, BCL-2 and CDK6 in the cultured and PD primary de novo AML cells[30]. Consistent with this, in the present studies the chromatin immunoprecipitation (ChIP) analyses showed that treatment with JQ1 also decreased the BRD4 occupancy on the enhancer and promoter of c-MYC, as well as on the promoters of BCL2 and CDK6 in the sAML HEL92.1.7 cells (Supplemental Figure S1A). Notably, qPCR analyses showed that JQ1 treatment dose-dependently attenuated the mRNA expression of c-MYC, BCL2 and CDK6, as well as of PIM1 and IL-7R in HEL92.1.7 and SET2 cells (Figure 1A and Supplemental Figure S1B). Concomitantly, in contrast, JQ1 treatment induced the mRNA expression of p21 and HEXIM1 in HEL92.1.7 cells (Figure 1B). HEXIM1, along with the small nuclear RNA 7SK, sequesters pTEFb in an inhibitory complex and induction of HEXIM1 has been shown to mechanistically mediate the inhibitory effects of BETi on RNAP2-mediated mRNA transcript elongation[33]. Treatment with a different BETi, I-BET151, also had a similar effect on the mRNA levels of c-MYC, BCL2, CDK6, PIM1 and p21 in HEL92.1.7 cells (Supplemental Figure S1C and S1D). We next determined the effects of JQ1 treatment on protein expressions, utilizing specific and validated antibodies coupled to a reverse phase protein array (RPPA). Figure 1C shows the heat map of the changes in expression (in triplicate) of those proteins that exhibited a ≥ 1.25 fold increase or decrease in expression and p <0.05 (relative to the untreated cells) following treatment with JQ1 (1.0 μM for 24 hours). More than twice as many proteins (92 proteins) were down regulated as were up regulated (43 proteins) (Figure 1C and Supplemental Table 1). Of these, the notable examples of the down regulated proteins were p-STAT5, p-STAT3, c-KIT, HES1, JAK2 and c-MYC, whereas protein levels of DNA damage-associated γ-H2AX (H2AX pS140) as well as of the apoptosis-inducing cleaved caspase 3 and 7 were simultaneously up regulated (Figure 2A). Western analyses were conducted to further confirm the effects of JQ1 on the protein levels in HEL92.1.7 and SET2 cells. Figure 2B and 2C show that exposure to JQ1 dose-dependently reduced the levels of c-MYC, p-STAT5, p-STAT3, JAK2, PIM1, CDK4 and CDK6. Concomitantly, JQ1 treatment increased the levels of HEXIM1, BIM and p21 (Figure 2B and 2C). Consistent with JQ1-mediated depletion of p-STAT5 levels, the protein expression of its target gene Bcl-xL was reduced in HEL92.1.7 and SET2 cells (Figure 2B and 2C) [34]. Since a previous report had demonstrated that JQ1 treatment reduces p-STAT5 levels by also causing attenuation of the IL-7 receptor (IL-7R) expression[35], we next determined the effects of JQ1 treatment on the mRNA and protein expression of IL-7R in sAML cells. QPCR and flow cytometric analysis, respectively, showed that treatment with JQ1 attenuated the mRNA expression and cell-surface protein expression of IL-7R in HEL92.1.7 and SET2 cells (Figure 1A and Supplemental Figure S2).
Figure 1

Treatment with the BET protein bromodomain inhibitor, JQ1 depletes the mRNA expression and protein expression of BRD4 target genes including c-MYC in cultured sAML cells

A-B. HEL92.1.7 cells were treated with the indicated concentrations of JQ1 for 16 hours. At the end of treatment, RNA was isolated and reverse transcribed. The resulting cDNA was used for real-time, quantitative PCR analysis. The relative mRNA expression of each target was normalized to GAPDH and compared to the untreated cells. C. Heatmap of HEL92.1.7 treated with JQ1 for 24 hours, then analyzed by reverse phase protein analysis. Each column represents an independent sample. Samples were analyzed in biologic triplicates. Proteins shown were altered by at least 1.25-fold up or down relative to the untreated cells and had a p-value of less than 0.05.

Figure 2

Treatment with JQ1 depletes the expression levels of pSTAT5, c-MYC, CDK4 and CDK6 with concomitant induction of HEXIM1 and BIM expression levels in sAML cells

A. HEL92.1.7 cells were treated with JQ1 for 24 hours, and then analyzed by reverse phase protein analysis. Figure shows log2 fold change of selected targets in JQ1-treated cells relative to the untreated control cells. All fold changes shown are significant (p<0.05). B-C. HEL92.1.7 and SET-2 cells were treated with the indicated concentrations of JQ1 for 24 hours. Total cell lysates were prepared and immunoblot analyses were conducted as indicated. The expression levels of β-Actin in the lysates served as the loading control.

BET-I treatment inhibits growth and induces apoptosis of post-MPN sAML cells

We next determined the effects of JQ1 treatment on the growth and apoptosis of the post-MPN sAML HEL92.1.7 and SET2 cells. Figure 3A demonstrates that consistent with its inhibitory effects on the levels of JAK2, p-STAT3, STAT5, c-MYC, PIM1 and Bcl-xL, as well as its induction of the levels of BIM, JQ1 treatment for 48 hours dose-dependently induced apoptosis of HEL92.1.7 and SET2 cells. Exposure to other BETi such as OTX-015 and I-BET-151 also dose- dependently induced apoptosis of HEL92.1.7 and SET2 cells (Figure 3B, and data not shown). We have previously reported and show here in the Supplemental Figure 3A to 3C that BETi JQ1 and OTX-015 treatment did not inhibit p-STAT5 and STAT5 levels, while it reduced c-MYC and CDK4/6, but induced HEXIM1, p21 and BIM, as well as induced apoptosis of non-JAK2 mutated cultured and primary de novo AML cells ([30,32]). Notably, a longer exposure (96 hours) to considerably lower concentrations of JQ1 (100 nM) inhibited the suspension culture growth of HEL92.1.7 and SET2 cells (Supplemental Figure 4A). This was associated with a significant increase in the cell surface expression of the differentiation-associated myeloid markers CD11b and CD14 on the HEL92.1.7 and SET2 cells (Figure 3C). Following a 96-hour exposure to JQ1, a significant increase in the % of non-viable cells was also observed (Supplemental Figure 4B). Collectively, these findings suggest that treatment with BETi inhibits growth, as well as induces differentiation and apoptosis of sAML cells.
Figure 3

Treatment with BET bromodomain inhibitors induces differentiation and apoptosis in sAML cells

A-B. HEL92.1.7 and SET-2 cells were treated with the indicated concentrations of JQ1 or OTX-015 for 48 hours. The % apoptotic cells were determined by flow cytometry. Columns, mean apoptosis from three experiments; Bars, standard error of the mean. C. HEL92.1.7 cells were treated with 100 nM of JQ1 for 96 hours. At the end of treatment, the % CD11b and CD14-positive cells in HEL92.1.7 cells were determined. *** indicates significantly increased CD11b or CD14 expression levels in JQ1 treated cells compared to control cells (p<0.005).

Co-treatment with BETi and ruxolitinb exerts synergistic lethality and improves survival of mice engrafted with sAML cells

We had previously reported that treatment with a combination of BETi and tyrosine kinase inhibitor (TKI), which inhibits the activity of the growth and survival-promoting mutant and/or activated TKs, exerts synergistic lethality against AML and Mantle Cell Lymphoma cells[32,36]. Here, first, we utilized RPPA analyses to determine the effects of JAKi ruxolitinib or pacritinib (SB1518) on the signaling proteins in sAML cells[37]. As shown, both JAKis attenuated the levels of p-PRAS40, p-S6, p-4E-BP1, and p-STAT3, while also increasing γ-H2AX and cleaved caspase 3 & 7 levels (Supplemental Figure S5A and 5B and Supplemental Table 2 & 3). Notably, treatment with pacritinib caused greater inhibition of p-AKT. Next, we determined the activity of co-treatment with JQ1 with JAKis ruxolitinib, pacritinib or SAR against cultured post-MPN sAML cells. Figure 4A demonstrates that co-treatment with JQ1 and ruxolitinib synergistically induced apoptosis of HEL92.1.7, with combination indices below 1.0, utilizing the isobologram analyses (dose and fractional effect table is presented in Supplemental Figure S5A). Similar synergy between JQ1 and ruxolitinib was observed in SET2 cells (Supplemental Figure 6B). As compared to treatment with each agent alone, co-treatment with JQ1 and ruxolitinib caused greater attenuation of p-STAT5, CDK4, CDK6, c-MYC and p-STAT3 in HEL92.1.7 cells (Figure 4B). Whereas JQ1 treatment reduced BCL2 levels, co-treatment with ruxolitinib did not further reduce the levels of BCL2 in HEL92.1.7 cells. However, co-treatment with ruxolitinib further enhanced JQ1-mediated increase in the levels of p21 and cleaved PARP (Figure 4B). Co-treatment with JQ1 and ruxolitinib exerted similar effects on the protein levels of pSTAT5, CDK4, CDK6, MYC and p-STAT3 in SET2 cells (Supplemental Figure S6C). Combination of the BETi OTX-015 with ruxolitinib also synergistically induced apoptosis of SET2 cells (Supplemental Figure S6D). Notably, co-treatment of JQ1 with the other JAKis, pacritinib and SAR, also induced synergistic lethality against HEL92.1.7 and SET2 cells (Supplemental Figures S6E-S6I). Consistent with this, co-treatment with pacritinib also enhanced JQ1-mediated perturbations in the protein levels of c-MYC, CDK4, CDK6, BCL-2, Bcl-xL, p-STAT3, p-STAT5, PIM1 and cleaved PARP (Supplemental Figure S6G). We next determined the in vivo anti-sAML activity of JQ1 and/or ruxolitinib against the xenograft of HEL92.1.7 cells in NSG mice. Treatment with vehicle alone or JQ1 and/or ruxolitinib was initiated seven days after the tail-vein infusion and engraftment of HEL92.1.7 cells. JQ1 and ruxolitinib were administered by intraperitoneal injection and oral gavage, respectively, daily for 5 days/week for 3 weeks. The Kaplan Meier plot in Figure 4C demonstrates that, as compared to the treatment with vehicle control, JQ1 or ruxolitinib treatment alone, co-treatment with JQ1 and ruxolitinib significantly improved the median survival of the mice (Log Rank Sum test, p= 0.0101).
Figure 4

Co-treatment with JQ1 and JAK inhibitor ruxolitinib synergistically induces apoptosis of cultured sAML cells and improves the survival of mice bearing HEL92.1.7 cell xenografts

A. HEL92.1.7 were treated with JQ1 (dose range: 200-1000 nM) and ruxolitinib (dose range: 200-1000 nM) at a constant ratio for 48 hours. Then, the % of annexin V- and TO-PRO-3-iodide positive, apoptotic cells was determined by flow cytometry. Median dose effect and isobologram analyses were performed utilizing CompuSyn, assuming mutual exclusivity. Combination index (CI) values less than 1.0 indicate a synergistic interaction of the two agents in the combination. B. HEL92.1.7 cells were treated with the indicated concentrations of JQ1 and/or ruxolitinib for 24 hours. Following this, the cells were harvested and total cell lysates were prepared. Immunoblot analyses were conducted as indicated. The expression levels of β-actin in the lysates served as the loading control. C. HEL92.1.7 cells were injected into the lateral tail vein of NSG mice (n=8) that had been pre-conditioned with 2.5 Gy of gamma irradiation. Seven days post cell implantation, mice were treated with 50 mg/kg of JQ1 (daily × 5 days, by IP injection) and/or 20 mg/kg ruxolitinib (daily × 5 days, P.O.) for 3 weeks. The survival of the mice is represented by a Kaplan Meier plot.

Effects of BETi and/or JAKi in patient-derived (PD) sAML stem or blast progenitor cells expressing JAK2 V617F mutation

We next compared the lethal effects of JQ1 in PD CD34+ sAML versus normal progenitor cells. As shown in Figure 5A, treatment with JQ1 dose-dependently induced significantly more lethality in four samples of PD CD34+ sAML, as compared to the normal CD34+ progenitor cells (3 samples) (p < 0.01). Utilizing NextGen sequencing, we next determined the genetic alterations in 23 PD sAML samples, including the 4 samples utilized above (sample 2, 4, 6 and 7), as well as 19 additional sAML samples (Supplemental Figure S7). Similar to previous reports, we also identified genetic alterations in JAK2, c-MPL, CALR, KRAS, NRAS, ASXL1, TET2, IDH1 & 2, EZH2, RUNX1 and DNMT3A. In this cohort, only one sample each exhibited mutant TP53 (sample 4) or CALR (sample 8). We next determined the lethal effects of co-treatment with JQ1 and ruxolitinib or pacritinib in PD sAML cells. As shown, co-treatment with ruxolitinib synergistically induced apoptosis in two representative samples of PD CD34+ sAML cells (Figure 5B and 5C) and Supplemental Figures S8A and 8B). Co-treatment with JQ1 and pacritinib also synergistically induced apoptosis in the two samples of PD CD34+ sAML cells (Supplemental Figures 8C to 8F). We next determined the effects of JQ1, as well as of ruxolitinib and SAR on the immunophenotypic and intracellular protein expressions in PD CD34+ sAML cells, utilizing a recently described mass cytometry approach[38, 39]. A bioinformatics algorithm, SPADE (Spanning-tree Progression Analysis of Density-normalized Events), was utilized on mass cytometry data, using 7 cell surface markers, to yield 13 cell groupings or clusters which represent the various immunophenotypic cell subsets (Figure 6A). Among these, clusters 1 and 2 phenotypically represented stem/progenitor cells, based on high expression of CD90 and CD244 (also high CD123+, TIM3Fc+ and CD45RA+ but low expression of CD38+ and CD11b), whereas cluster 6 represented the more differentiated granulocyte-macrophage progenitor (GMP) cells with low expression of CD90 and CD244 (also low CD123+, TIM3Fc+ and CD45RA+ but high expression of CD11b and CD38+ (expressions ranging between 0.58 and 2.53)). Clusters 7 and 8 were phenotypically closer to the stem/progenitor cells but with lower expression of CD123. Next, among the immuno-phenotypically distinct clusters, especially clusters 1 and 2 versus cluster 6, we compared the alterations in the intracellular protein expressions of 13 proteins in JQ1-, ruxolitinib- or SAR-treated cells (Figure 6B). The range of expression was between 0.5 and 2.0, with the untreated control at 1.0 in the range. Results of this PD sAML sample (sample 4 in Supplemental Figure S6) are shown in Figure 6B and Supplemental Figure 9. They demonstrate that treatment with JQ1 reduced the expression of c-MYC, p-STAT5, p-STAT3, p-Rb, AKT, p-AKT, p-ERK, p-S6, BCL2 and Bcl-xL in clusters 1 and 2 (Figure 6B and Supplemental Figure 9). In contrast, JQ1 treatment increased the expression of HEXIM1 and BRD4 in clusters 7 and 8 more so than in clusters 1 and 2 (Figure 6B). Exposure to ruxolitinib exerted a greater inhibitory effect than JQ1, but less than SAR, on the expression of the signaling proteins in clusters 1 and 2. In contrast, overall, JAKi treatment exerted lesser effects than JQ1 on BRD4 and HEXIM1 in clusters 1, 2, 7 and 8 (Figure 6B).
Figure 5

Co-treatment with JQ1 and JAK2 inhibitors synergistically induces cell death in patient-derived CD34+ sAML cells

A. Patient-derived (PD) CD34+ sAML cells and normal CD34+ cells were treated with the indicated concentrations of JQ1 for 48 hours. At the end of treatment, the % of PI-positive, non-viable cells was determined by flow cytometry. Columns, mean loss of cell viability; Bars, standard error of the mean. B-C. Patient-derived CD34+ sAML cells (n=2) were treated with JQ1 and ruxolitinib for 48 hours. The % of non-viable cells was determined by propidium iodide (PI) staining and flow cytometry. Median dose effect and isobologram analyses were performed utilizing CompuSyn, assuming mutual exclusivity. Combination index (CI) values less than 1.0 indicate a synergistic interaction of the two agents in the combination.

Figure 6

Treatment with JQ1 or JAK inhibitors ruxolitinib or SAR302503 depletes JAK/STAT signaling and attenuates c-MYC, BCL-2 and Bcl-xL protein expression in primary CD34+ secondary AML cells as determined by mass cytometry analysis

Primary CD34+ secondary AML cells were treated with JQ1 or ruxolitinib or SAR302503 for 16 hours. At the end of treatment, cells were fixed and labeled with a cocktail of primary antibodies conjugated to rare metal elements. Mass cytometry ‘CyTOF’ analysis was conducted and data were normalized and exported. Data were further analyzed utilizing the SPADE software. A. SPADE tree colored by c-MYC and a heatmap of the 13 annotated clusters on the SPADE tree based on the expression levels of CD markers and cellular markers associated with stem cells or differentiated cells. B. Heatmaps of the protein expression changes caused by treatment with JQ1, ruxolitinib, or SAR302503 relative to the untreated control cells (set to 1) are shown.

Co-treatment with BETi and HSP90i exerts synergistic lethality against in vitro generated ruxolitinib-persister and ruxolitinib-resistant cells

We had previously reported the isolation and characterization of JAKi-resistant (HEL/JIR) cells[8]. As shown in the Supplemental Figure S10A, unlike the parental HEL92.1.7, HEL/JIR cells are relatively resistant to ruxolitinib-induced apoptosis. It is notable that as compared to HEL92.1.7, UKE1 cells were endogenously less sensitive to ruxolitinib-induced apoptosis (Supplemental Figure 10B). In contrast, HEL/JIR cells are significantly more sensitive to apoptosis induced by HSP90i, e.g., AUY922 (p < 0.01) (Supplemental Figure S8C)[40]. Exposure to 20 nM of AUY922 for 48 hours induced apoptosis in a mean of 75.2% of HEL/JIR versus 27.7% of HEL92.1.7 cells. Consistent with this, exposure to 20 nM of AUY922 markedly reduced the protein levels of JAK2, PIM1, p-STAT5, c-MYC, Bcl-xL and p53, while simultaneously inducing the levels of HSP70, in HEL/JIR cells (Figure 7A). In contrast, markedly higher concentrations of AUY922 were necessary to achieve similar effects in HEL92.1.7 cells (Figure 7B, and data not shown). Notably, co-treatment with JQ1 and AUY922 was synergistically lethal against HEL/JIR cells (CI of < 1.0) (Figure 7C and Supplemental Figure S10D). Concomitantly, combined treatment with JQ1 and AUY922 led to greater attenuation of PIM1, c-MYC, CDK4, CDK6 and Bcl-xL in HEL/JIR cells (Supplemental Figure S10E). Synergistically lethal effects of this combination were also observed in the ruxolitinib-sensitive HEL92.1.7 and SET2 cells (data not shown). As previously reported for EGFRi-resistant-persisters[9], we also developed ex vivo ruxolitinib-persisters, following repeated weekly exposure (1.0 μM for 48 hours) and recovery of the surviving HEL92.1.7 cells. Figure 8A demonstrates that, as compared to the parental HEL92.1.7, HEL/Persister cells are significantly less sensitive to ruxolitinib-induced apoptosis (p < 0.05). This was associated with less attenuation in the levels of p-STAT5 and Bcl-xL levels in HEL/Persister versus HEL92.1.7 cells (Supplemental Figure S11A). However, HEL/Persister cells are as sensitive to JQ1-induced apoptosis as HEL92.1.7 cells (Figure 8B). Notably, treatment with AUY922 induced significantly more apoptosis in HEL/Persister than in HEL92.1.7 cells (Supplemental Figure 11B). This correlated with greater AUY922-mediated attenuation of PIM1, c-MYC and Bcl-xL levels in HEL/Persister versus HEL92.1.7 cells (Supplemental Figure S11A). Furthermore, co-treatment with JQ1 and AUY922 was also synergistically lethal against HEL/Persister cells, with combination indices below 1.0) (Figure 8C and Supplemental Figure S11C). These findings highlight that treatment with an HSP90i is more effective, and combination of BETi and HSP90i exerts superior activity, against JAKi/Persister cells as well as JIR cells.
Figure 7

Co-treatment with JQ1 and AUY922 induces synergistic apoptosis of sAML cells

A-B. HEL/JIR and HEL92.1.7 cells were treated with the indicated concentrations of AUY922 for 24 hours. At the end of treatment, total cell lysates were prepared and immunoblot analyses were conducted. The expression levels of β-actin in the lysates served as the loading control. C. HEL/JIR cells were treated with JQ1 and AUY922 at a constant ratio for 48 hours. Then, the % of annexin V- and TO-PRO-3 iodide-positive, apoptotic cells was determined by flow cytometry. Median dose effect and isobologram analyses were performed utilizing CompuSyn, assuming mutual exclusivity. Combination index (CI) values less than 1.0 indicate a synergistic interaction of the two agents in the combination.

Figure 8

Co-treatment with JQ1 and AUY922 induces synergistic apoptosis of ruxolitinib persistent sAML cells

A. HEL92.1.7 and HEL cells made persistent to ruxolitinib (HEL/Persisters) were treated with the indicated concentrations of ruxolitinib for 48 hours. Then, the % of annexin V- and TO-PRO-3-positive, apoptotic cells was determined by flow cytometry. Columns represent the mean of three experiments; Bars represent the standard error of the mean. * indicates apoptosis values significantly less in HEL/Persister cells than in parental cells (p<0.05). B. HEL92.1.7 and HEL/Persisters were treated with the indicated concentrations of JQ1 for 48 hours. Following this, the % of annexin V-positive, apoptotic cells was determined by flow cytometry. Columns represent the mean of three experiments; Bars represent the standard error of the mean. C. HEL/Persister cells were treated with JQ1 and AUY922 at a constant ratio for 24 hours. Then, the % of annexin V-positive apoptotic cells was determined by flow cytometry. The median dose effect and combination indices (isobologram) were determined utilizing Compusyn software assuming mutual exclusivity. Combination index (CI) values less than 1.0 indicate a synergistic interaction of the two agents in the combination.

DISCUSSION

Similar to their documented activity against de novo AML blast progenitor cells expressing MLL fusion proteins, mutant NPM1 and FLT3-ITD[29,30,32], present studies demonstrate that treatment with BETi also exert lethal activity against cultured (HEL92.1.7 and SET2) and PD sAML progenitor cells, including those expressing JAK2-V617F, KRAS, TET2, ASXL1, IDH2, RUNX1, DNMT3A, EZH2 and/or TP53. Notably, as compared to the normal CD34+ progenitor cells, the lethal effects of JQ1 were significantly more pronounced against PD CD34+ sAML cells. The cytotoxic effects of BETi treatment were associated with attenuation of the mRNA and protein levels of important oncoproteins in sAML cells, including c-MYC, BCL2, CDK6 and PIM1. The serine–threonine kinase PIM1 is involved in phosphorylating and affecting the levels and/or activity of its target proteins, which include c-MYC, p21, p27, BAD and PRAS40[41]. Therefore, JQ1-mediated reduction in the levels of PIM1, along with attenuation of c-MYC and CDK4, could explain the inhibitory effects of JQ1 on the cell-growth, differentiation and cell-viability of sAML cells. Also, consistent with our previously reported findings, JQ1-mediated induction of p21 and HEXIM1 also likely contributed here to the inhibition of growth and induction of differentiation in sAML cells[33]. Mutations in JAK2, c-MPL or CALR constitutively activate JAK-STAT signaling, as well as promote survival and proliferation of MPN and sAML progenitor cells[2,11,19]. Additionally, signaling downstream of IL-7R may further accentuate JAK-STAT signaling in sAML progenitor cells[42]. Therefore, JQ1-mediated attenuation of the levels of IL-7R, JAK2 and p-STAT5, as well as of the STAT5 transcriptional target Bcl-xL, demonstrated by the RPPA findings presented here, further likely contributed to the anti-sAML activity of JQ1. RPPA findings also demonstrated that treatment with JQ1 attenuated the NOTCH pathway transcriptional regulator HES1, whose activity inhibits differentiation and promotes the stemness in the transformed progenitor cells[43]. Utilizing mass cytometry coupled to SPADE algorithm clustering of the data, we have also demonstrated for the first time that treatment with JQ1 reduces the expression of c-MYC, BCL-2 and Bcl-xL, as well as several other signaling proteins involved in growth and survival, including AKT, p-AKT, p-ERK, p-S6, p-STAT5, p-STAT3, in the immunophenotypically defined stem/progenitor versus the more differentiated GMP sAML cells. Mass cytometry also demonstrated induction of HEXIM1 by JQ1 treatment in the clusters representing stem/progenitor cells, which would contribute to JQ1-mediated growth inhibitory and apoptotic effects in sAML cells[33]. We also observed that exposure to SAR > ruxolitinib > JQ1 inhibited the levels of several signaling proteins in the sAML stem/progenitor cells. This could be because SAR has been recognized to exert both JAKi as well as BETi activities[44]. Recent studies have highlighted that prolonged exposure to JQ1 leads to accumulation of BRD4 levels[45]. This could limit the effects of JQ1 in attenuating the oncoprotein levels, as well reducing the growth-inhibitory and apoptotic effects of JQ1[45]. A similar increase in BRD4 levels due to JQ1 treatment was also observed here in the stem/progenitor sAML cells. This was seen in clusters 7 and 8 more so than in clusters 1 and 2. This observation highlights that, as compared to BETi, treatment with the hetero-bifunctional PROTACs (proteolysis targeting chimera) may exert superior activity against sAML cells[46]. A PROTAC has been shown to bind and recruit the E3 ubiquitin ligase cereblon to ubiquitylate and proteasomally degrade BRD4, which is likely to exert a more pronounced inhibitory effect on the levels of the oncoproteins as well as on the growth and survival of sAML cells[46]. Although it imparts significant clinical benefit and improves survival in patients with advanced MPN or primary MF, ruxolitinib has modest and short-term clinical efficacy in patients with sAML[16,18]. This may be due to a lack of efficacy of ruxolitinib against sAML stem/progenitor cells. Findings presented here show that co-treatment with a BETi (JQ1 or OTX-015) and JAKi (ruxolitinib, pacritinib or SAR302503) exerted synergistic lethality against cultured and PD sAML blast progenitor cells. Additionally, as compared to treatment with each agent alone, co-treatment with JQ1 and ruxolitinib induced significantly greater improvement in median survival of the immune-depleted mice engrafted with the sAML HEL92.1.7 cells. The synergistically lethal anti-sAML activity of the combination could potentially be due to greater inhibitory effects on the levels of the pro-growth and pro-survival oncoproteins, including p-STAT5, p-STAT3, c-MYC, BCL-2 and CDK4/6. This was accompanied with greater induction in the levels of p21 and cleaved PARP in sAML cells. A greater reduction in the PIM1 levels due to the combination was also observed in SET2 cells. These results are consistent with previous observations that combined therapy with BETi and TKIs that target STAT5 signaling could cooperatively extinguish the AML-associated deregulated transcriptome, leading to a synergistic lethality against the myeloid leukemia stem/progenitor cells[32,47]. In post-MPN MF and sAML, resistance to ruxolitinb has been attributed to persistent JAK-STAT signaling due to transphosphorylation of JAK2 by either JAK1 or TYK2[10,19]. However, this was associated with a collateral sensitivity of the sAML cells to HSP90i therapy[8,10,19]. Additional mechanisms of therapy resistance in the post-MPN sAML stem/progenitor cells may be due to the co-occurrence of mutations in TP53 and several of the chromatin regulators, coupled to the activity of the BRD4-dependent, super enhancer-driven, oncogenic deregulated transcriptome[19,22, 25,48,49]. Therefore, disrupting BRD4 activity at the super-enhancers and promoters by BETi represents a promising therapy, which we also harnessed here in the synergistic combination with HSP90i against sAML cells, sensitive or resistant to ruxolitinib. Since BETi also exert single agent activity against AML cells that express mutant TP53, as well as express mutant versions of chromatin regulators, this also supports the rationale to utilize BETi in combination with HSP90i against JAKi-resistant cells and JAKi-Persisters. Also, since TYK2, p-STAT5 and mutant TP53 are chaperoned by HSP90, and treatment with HSP90i has been shown to induce proteasomal degradation of TYK2, p-STAT5 and mutant TP53, this also explains the synergy of the combination against the mutant TP53-expressing JAKi-resistant and JAK-Persisters[50-52]. Taken together, these observations strongly support the rationale for further evaluation of the combined therapy with BETi and HSP90i against sAML cells. Recent reports have demonstrated that the type-II JAK2i CHZ868 may reverse type-I JAK inhibitor (e.g., ruxolitinib, pacritinib and SAR302503) resistance, demonstrating efficacy against post-MPN cells[53]. Therefore, in the future, it would also be important to determine the activity of co-treatment with a BETi and type II JAK2i against sAML, resistant to type I JAKi.
  53 in total

Review 1.  Targeting bromodomains: epigenetic readers of lysine acetylation.

Authors:  Panagis Filippakopoulos; Stefan Knapp
Journal:  Nat Rev Drug Discov       Date:  2014-04-22       Impact factor: 84.694

2.  A pooled analysis of overall survival in COMFORT-I and COMFORT-II, 2 randomized phase III trials of ruxolitinib for the treatment of myelofibrosis.

Authors:  Alessandro M Vannucchi; Hagop M Kantarjian; Jean-Jacques Kiladjian; Jason Gotlib; Francisco Cervantes; Ruben A Mesa; Nicholas J Sarlis; Wei Peng; Victor Sandor; Prashanth Gopalakrishna; Abdel Hmissi; Viktoriya Stalbovskaya; Vikas Gupta; Claire Harrison; Srdan Verstovsek
Journal:  Haematologica       Date:  2015-06-11       Impact factor: 9.941

Review 3.  The role of mutations in epigenetic regulators in myeloid malignancies.

Authors:  Alan H Shih; Omar Abdel-Wahab; Jay P Patel; Ross L Levine
Journal:  Nat Rev Cancer       Date:  2012-08-17       Impact factor: 60.716

4.  Single-cell mass cytometry reveals intracellular survival/proliferative signaling in FLT3-ITD-mutated AML stem/progenitor cells.

Authors:  Lina Han; Peng Qiu; Zhihong Zeng; Jeffrey L Jorgensen; Duncan H Mak; Jared K Burks; Wendy Schober; Teresa J McQueen; Jorge Cortes; Scott D Tanner; Gail J Roboz; Hagop M Kantarjian; Steven M Kornblau; Monica L Guzman; Michael Andreeff; Marina Konopleva
Journal:  Cytometry A       Date:  2015-01-16       Impact factor: 4.355

5.  Convergence of developmental and oncogenic signaling pathways at transcriptional super-enhancers.

Authors:  Denes Hnisz; Jurian Schuijers; Charles Y Lin; Abraham S Weintraub; Brian J Abraham; Tong Ihn Lee; James E Bradner; Richard A Young
Journal:  Mol Cell       Date:  2015-03-19       Impact factor: 17.970

6.  Selective inhibition of tumor oncogenes by disruption of super-enhancers.

Authors:  Jakob Lovén; Heather A Hoke; Charles Y Lin; Ashley Lau; David A Orlando; Christopher R Vakoc; James E Bradner; Tong Ihn Lee; Richard A Young
Journal:  Cell       Date:  2013-04-11       Impact factor: 41.582

7.  First-in-human phase I dose-escalation study of the HSP90 inhibitor AUY922 in patients with advanced solid tumors.

Authors:  Cristiana Sessa; Geoffrey I Shapiro; Kapil N Bhalla; Carolyn Britten; Karen S Jacks; Monica Mita; Vali Papadimitrakopoulou; Tim Pluard; Thomas A Samuel; Mikhail Akimov; Cornelia Quadt; Cristina Fernandez-Ibarra; Hong Lu; Stuart Bailey; Sandra Chica; Udai Banerji
Journal:  Clin Cancer Res       Date:  2013-06-11       Impact factor: 12.531

8.  Inhibition of BET recruitment to chromatin as an effective treatment for MLL-fusion leukaemia.

Authors:  Mark A Dawson; Rab K Prinjha; Antje Dittmann; George Giotopoulos; Marcus Bantscheff; Wai-In Chan; Samuel C Robson; Chun-wa Chung; Carsten Hopf; Mikhail M Savitski; Carola Huthmacher; Emma Gudgin; Dave Lugo; Soren Beinke; Trevor D Chapman; Emma J Roberts; Peter E Soden; Kurt R Auger; Olivier Mirguet; Konstanze Doehner; Ruud Delwel; Alan K Burnett; Phillip Jeffrey; Gerard Drewes; Kevin Lee; Brian J P Huntly; Tony Kouzarides
Journal:  Nature       Date:  2011-10-02       Impact factor: 49.962

9.  Brd4 activates P-TEFb for RNA polymerase II CTD phosphorylation.

Authors:  Friederike Itzen; Ann Katrin Greifenberg; Christian A Bösken; Matthias Geyer
Journal:  Nucleic Acids Res       Date:  2014-05-23       Impact factor: 16.971

10.  Dual kinase-bromodomain inhibitors for rationally designed polypharmacology.

Authors:  Pietro Ciceri; Susanne Müller; Alison O'Mahony; Oleg Fedorov; Panagis Filippakopoulos; Jeremy P Hunt; Elisabeth A Lasater; Gabriel Pallares; Sarah Picaud; Christopher Wells; Sarah Martin; Lisa M Wodicka; Neil P Shah; Daniel K Treiber; Stefan Knapp
Journal:  Nat Chem Biol       Date:  2014-03-02       Impact factor: 15.040

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  37 in total

1.  Targeting nuclear β-catenin as therapy for post-myeloproliferative neoplasm secondary AML.

Authors:  Dyana T Saenz; Warren Fiskus; Taghi Manshouri; Christopher P Mill; Yimin Qian; Kanak Raina; Kimal Rajapakshe; Cristian Coarfa; Raffaella Soldi; Prithviraj Bose; Gautam Borthakur; Tapan M Kadia; Joseph D Khoury; Lucia Masarova; Agnieszka J Nowak; Baohua Sun; David N Saenz; Steven M Kornblau; Steve Horrigan; Sunil Sharma; Peng Qiu; Craig M Crews; Srdan Verstovsek; Kapil N Bhalla
Journal:  Leukemia       Date:  2018-12-21       Impact factor: 11.528

2.  The emerging spectrum of early life exposure-related inflammation and epigenetic therapy.

Authors:  Qiwei Yang; Mohamed Ali; Abdeljabar El Andaloussi; Ayman Al-Hendy
Journal:  Cancer Stud Mol Med       Date:  2018-09-17

Review 3.  New Concepts of Treatment for Patients with Myelofibrosis.

Authors:  Prithviraj Bose; Mansour Alfayez; Srdan Verstovsek
Journal:  Curr Treat Options Oncol       Date:  2019-01-24

Review 4.  SOHO State-of-the-Art Update and Next Questions: MPN.

Authors:  Prithviraj Bose; Jason Gotlib; Claire N Harrison; Srdan Verstovsek
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2018-01

Review 5.  Leukemia secondary to myeloproliferative neoplasms.

Authors:  Andrew J Dunbar; Raajit K Rampal; Ross Levine
Journal:  Blood       Date:  2020-07-02       Impact factor: 22.113

6.  Overcoming BET Inhibitor Resistance in Malignant Peripheral Nerve Sheath Tumors.

Authors:  Zhiguo Chen; Chung-Ping Liao; Kun Chen; Jonathan M Cooper; Amish J Patel; Juan Mo; Yong Wang; Lu Q Le
Journal:  Clin Cancer Res       Date:  2019-02-22       Impact factor: 12.531

7.  Activated IL-6 signaling contributes to the pathogenesis of, and is a novel therapeutic target for, CALR-mutated MPNs.

Authors:  Manjola Balliu; Laura Calabresi; Niccolò Bartalucci; Simone Romagnoli; Laura Maggi; Rossella Manfredini; Matteo Lulli; Paola Guglielmelli; Alessandro Maria Vannucchi
Journal:  Blood Adv       Date:  2021-04-27

8.  Rational cotargeting of HDAC6 and BET proteins yields synergistic antimyeloma activity.

Authors:  Jennifer S Carew; Claudia M Espitia; Weiguo Zhao; Valeria Visconte; Faiz Anwer; Kevin R Kelly; Steffan T Nawrocki
Journal:  Blood Adv       Date:  2019-04-23

9.  Mechanistic basis and efficacy of targeting the β-catenin-TCF7L2-JMJD6-c-Myc axis to overcome resistance to BET inhibitors.

Authors:  Dyana T Saenz; Warren Fiskus; Christopher P Mill; Dimuthu Perera; Taghi Manshouri; Bernardo H Lara; Vrajesh Karkhanis; Sunil Sharma; Stephen K Horrigan; Prithviraj Bose; Tapan M Kadia; Lucia Masarova; Courtney D DiNardo; Gautam Borthakur; Joseph D Khoury; Koichi Takahashi; Srividya Bhaskara; Charles Y Lin; Michael R Green; Cristian Coarfa; Craig M Crews; Srdan Verstovsek; Kapil N Bhalla
Journal:  Blood       Date:  2020-04-09       Impact factor: 22.113

Review 10.  Novel Therapies in Myeloproliferative Neoplasms (MPN): Beyond JAK Inhibitors.

Authors:  Minas P Economides; Srdan Verstovsek; Naveen Pemmaraju
Journal:  Curr Hematol Malig Rep       Date:  2019-10       Impact factor: 3.952

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