Skip to main content

Decitabine demonstrates antileukemic activity in B cell precursor acute lymphoblastic leukemia with MLL rearrangements

Abstract

Background

Promotor hypermethylation of CpG islands is common in B cell precursor acute lymphoblastic leukemia (BCP-ALL) with mixed lineage leukemia (MLL) gene rearrangements. Hypomethylating agents (HMA) such as azacitidine (AZA) and decitabine (DEC) reduce DNA hypermethylation by incorporation into DNA and were successfully introduced into the clinic for the treatment of myeloid neoplasias.

Methods

Here, we investigated whether HMA induce comparable biological effects in MLL-positive BCP-ALL. Further, efficacy of HMA and concomitant application of cytostatic drugs (cytarabine and doxorubicin) were evaluated on established SEM and RS4;11 cell lines. In addition, promising approaches were studied on BCP-ALL cell line- and patient-derived xenograft models.

Results

In general, DEC effects were stronger compared to AZA on MLL-positive BCP-ALL cells. DEC significantly reduced proliferation by induction of cell cycle arrest in G0/G1 phase and apoptosis. Most sensitive to HMA were SEM cells which are characterized by a fast cell doubling time. The combination of low-dose HMA and conventional cytostatic agents revealed a heterogeneous response pattern. The strongest antiproliferative effects were observed when ALL cells were simultaneously exposed to HMA and cytostatic drugs. Most potent synergistic effects of HMA were induced with cytarabine. Finally, the therapeutic potential of DEC was evaluated on BCP-ALL xenograft models. DEC significantly delayed leukemic proliferation in xenograft models as demonstrated longitudinally by non-invasive bioluminescence as well as 18F-FDG-PET/CT imaging. Unexpectedly, in vivo concomitant application of DEC and cytarabine did not enhance the antiproliferative effect compared to DEC monotherapy.

Conclusions

Our data reveal that DEC is active in MLL-positive BCP-ALL and warrant clinical evaluation.

Background

B cell precursor acute lymphoblastic leukemia (BCP-ALL) is characterized by several molecular and cytogenetic changes. One of the most frequently involved genetic alterations in BCP-ALL is the rearrangement of the mixed lineage leukemia (MLL) gene. Thereby, the t(4;11)(q21;q23)/MLL-AF4 chromosomal translocation is the second most frequent translocation in adult ALL overall [1]. MLL-AF4-positive ALL is generally considered as high-risk leukemia associated with poor clinical outcome [2]. Therefore, in general, multidrug chemotherapy regimens are used for remission induction and consolidation [3,4,5]. In the case of CD20 positivity, antibody-based anti-CD-20 immunotherapy has proved to be beneficial [6]. Subsequent allogeneic stem cell transplantation is recommended. No subtype-specific targeted therapy for MLL patients has been established yet [2]. The exact pathogenesis of MLL-positive ALL has not yet been fully understood. However, epigenetic dysregulation and the acquisition of additional secondary genetic mutations seem to play a pivotal role in MLL-driven leukemogenesis [7].

Epigenetic dysregulation appears to be prevalent in MLL-positive leukemia, and specific methylation patterns have been reported [8, 9]. Infant MLL-rearranged ALL is characterized by aberrant promotor hypermethylation in CpG islands of tumor suppressor genes inducing transcriptional silencing [10]. Thereby, key signaling pathways influencing cell cycle progression, apoptosis, DNA repair, or cell differentiation are dysregulated and have therefore been proposed to be major factors in the development of MLL-ALL.

In general, hypermethylated genes can be targeted by hypomethylating agents (HMA) such as cytosine analogs azacitidine (AZA) or decitabine (DEC). These agents inhibit the function of DNA methyltransferases (DNMT) by incorporation into the DNA and prevent the methylation of cytosine during cell division, resulting in genome-wide demethylation [11]. Both drugs are used in the treatment of acute myeloid leukemia (AML) [12, 13].

The efficacy of HMA on BCP-ALL has not yet been investigated in detail. So far, DEC has been studied in two small clinical trials in relapsed and refractory B-ALL patients [14, 15]. Both studies demonstrated clinical activity and DNA demethylation. The overall response rate was higher when DEC was given in combination with a commonly used chemotherapy regimen [14]. Additionally, combination with the histone deacetylase inhibitor Vorinostat followed by standard re-induction chemotherapy demonstrated clinical benefit in relapsed ALL patients [15]. To date, clinical trials with AZA have not been implemented in ALL. In vitro, AZA in combination with histone deacetylase inhibitor Panobinostat was reported to induce synergistic antiproliferative effects in ALL cell lines [16].

Here, we hypothesized that HMA exhibit antiproliferative effects depending on drug exposition sequence in MLL-positive BPC-ALL. Further, we hypothesized that HMA increases the sensitivity to concomitant cytostatic agents. In order to proof our hypotheses, cell culture and xenograft models of BCP-ALL were used. Thereby, in vivo ALL cell expansion was studied with non-invasive imaging technologies using bioluminescence and PET/CT.

Methods

Cell lines and cell culture

The human BCP-ALL cell lines SEM and RS4;11 carry the translocation t(4;11) and were purchased from DSMZ (Braunschweig, Germany). Cells were cultured as previously described [17]. Briefly, cells were maintained as suspension cultures in Iscove’s MDM (SEM) or alpha-MEM (RS4;11) supplemented with 10% heat-inactivated fetal bovine serum (Biochrom, Berlin, Germany) and 100 Î¼g/ml penicillin and streptomycin (Biochrom) at 37 Â°C in humidified air containing 5% CO2. Cell doubling time for SEM has been described earlier to be 30 h and for RS4;11 60 h [18, 19]. Our analysis revealed slightly longer doubling times (i.e., SEM: 33-36 h and RS4;11: 51-56 h).

Patients

Mononuclear cells of bone marrow (BM) aspirates were obtained from three newly diagnosed ALL patients (Rostock University Medical Center, Germany) and isolated by density centrifugation. Cancer hotspot mutations were analyzed with next-generation sequencing (Ion PGM System, Thermo Fisher Scientific, Schwerte, Germany) according to the manufacturer’s protocol. Patient’s characteristics are summarized in Additional file 1. The study was performed in accordance to the Declaration of Helsinki and the local ethical standards of the Rostock University Medical Center.

Drugs

AZA and DEC were purchased from Selleckchem (Munich, Germany). Cytarabine (AraC) and doxorubicin (Doxo) were purchased from CellPharm GmbH (Bad Vilbel, Germany). Control cells were cultured in their medium containing DMSO in the same concentration as present in the drug-treated cells. For xenograft studies, DEC was dissolved in PBS.

Inhibition experiments and drug combination studies

Cells with a density of 0.33 × 106/ml were incubated with serial HMA dilutions for up to 72 h. Subsequently, low-dose HMA were combined with low dose of AraC or Doxo. Cytostatics were added at the time of cell seeding either simultaneously, 24 h before, or 24 h after HMA application. The used drug concentrations can be achieved in human plasma [20, 21]. All experiments were carried out in biological triplicates.

Study of proliferation and metabolic activity

Proliferation was assessed by counting viable cells using trypan blue dye exclusion. Metabolic activity was evaluated using WST-1 assay (Roche, Mannheim, Germany) [22].

Analyses of cell cycle and apoptosis were performed as previously described [22].

Methylation specific quantitative PCR (MSqPCR)

CDH13 and LINE-1 methylation was quantified by MSqPCR (Additional files 2 and 3).

Generation of GFP- and ffluc-expressing cells

SEM and RS4;11 were stably transduced with enhanced firefly luciferase (ffluc) which was subcloned into the multicloning site of the pCDH-EF1-MCS-T2A-copGFP vector (System Biosciences, Mountain View, CA, USA) using EcoRI and BamHI [23].

Xenograft mouse model

NOD scid gamma mice (NSG, Charles River Laboratories, Sulzfeld, Germany) were bred and housed under specific pathogen-free conditions. NSG mice (10–16 weeks old) were intravenously injected with 2.5 × 106 SEM-ffluc-GFP, RS4;11-ffluc-GFP, or de novo BCP-ALL cells.

Tumor burden was assessed by bioluminescence imaging (BLI) using NightOWL LB983 in vivo imaging system and Indigo software version 1.04 (Berthold Technologies, Bad Wildbach, Germany). Animals were intraperitoneally injected with 4.5 mg d-luciferin (Goldbiotechnology, St. Louis, USA). Mice were imaged 10 min after luciferin injection in prone and supine position for 60-s exposure time (sample size 150 × 20 mm; binning 4 × 4; emission 560 nm). BLI signals (ph/s) were calculated as the sum of both prone and supine acquisitions for each mouse.

Treatment started 7 days after tumor cell injection when BLI revealed equal engraftment of leukemia cells in all mice. Mice were treated intraperitoneally with a vehicle (isotonic saline: d7–d10), daily with 0.4 mg/kg BW DEC (d7–d10), daily with 150 mg/kg BW AraC (d7, d8), or both [24, 25]. Each group comprised of nine mice (Additional files 4 and 5).

Drug response was evaluated weekly using flow cytometry analyses (peripheral blood (PB)) and whole body BLI (ffluc) for up to 30 days. Mice were sacrificed, and cell suspensions were prepared from spleen and BM as previously reported [26].

Patient-derived xenograft (PDX) mice were treated as described above. Treatment response was analyzed by measuring frequency of human CD19 (clone 4G7, BD, Heidelberg, Germany) and human CD45 (clone 2D1, BD) in blood (weekly) and BM and spleen (both after euthanasia).

All experiments were approved by the review board of the federal state of Mecklenburg-Vorpommern, Germany (reference number: LALLF MV/7221.3-1.1-002/15).

18F-FDG-PET/CT imaging

18F-FDG was injected into the tail vein with 18.4 ± 2.1 MBq (distribution time 60 min). Imaging was performed for 15 min static acquisition and later analyzed (Inveon PET/CT Siemens, Knoxville, TN, USA). 18F-FDG uptake in spleen was determined by percent intensity of the injected dose per g (%ID/g). To calculate the metabolic volume of the spleen, 70% of measured %ID/gmax of the spleen was set as threshold.

Statistical analysis

Results within each experiment were described using mean and standard deviation. Significance between strains was calculated using Student’s t test (Microsoft excel software, version 2010, München, Germany). A p value < 0.05 was considered to be significant. Bliss independence model is widely used to determine effects of the drug combinations. Drug combination effects were obtained by the difference (Δ) between the observed (O) and the expected (E) inhibition of combined treatment. E is calculated as follows: E = (A + B) − (A*B), where A and B are the relative inhibition of single agent A and B. Δ > 0 indicating synergistic, and Δ <  0 antagonistic effects [27]. For the calculation, mean values of the metabolic activity or mean values of proliferation from three independent experiments were used.

Results

HMA inhibit proliferation and metabolic activity

Effects of AZA and DEC were analyzed in SEM and RS4;11 cells at various concentrations (100–1000 nM) (Fig. 1a). A dose-dependent effect of HMA on proliferation and metabolic activity was observed in SEM cells after 72-h drug exposure. Cell proliferation was reduced to 58.1% (1000 nM AZA) and to 49.3% (1000 nM DEC) compared to control cells (=100%). Metabolic activity decreased significantly by AZA up to 67.5% and by DEC up to 32.7% compared to control (100%). In RS4;11, HMA induced no significant effects on proliferation or metabolic activity. Cell numbers are displayed in Additional file 6.

Fig. 1
figure 1

HMA interfere with biological cell functions. SEM and RS4;11 cells were exposed to HMA for up to 72 h. Results were expressed as a percentage of DMSO-treated control cells and displayed as mean ± SD of three independent experiments. Significant treatment effects vs. DMSO are labeled with * (p < 0.05). a Proliferation and metabolic activity of SEM cells were significantly reduced after AZA and DEC exposure. HMA did not influence proliferation or metabolic activity of RS4;11 cells. b HMA induced an increase of SEM cells in G1/G0 phase, with a decreased number of cells in S phase. c In SEM cells, HMA increase the amount of early apoptotic and late apoptotic cells compared to DMSO-treated cells. Effect of DEC treatment was stronger than the effect of AZA treatment. No induction of apoptosis was observed in RS4;11 cells

Furthermore, cell cycle analysis revealed a G0/G1 arrest in HMA-treated SEM cells (Fig. 1b). Here, HMA increased the number of cells in G0/G1 phase significantly after 72 h (1000 nM AZA: 67.0%, 1000 nM DEC: 69.3% vs. control: 54.4%) and decreased the amount of cells in M phase. In RS4;11, distribution of cell cycle phases was not influenced by HMA.

Treatment with HMA induced apoptosis in SEM cells (Fig. 1c). The amount of apoptotic cells increased up to 17.8% (1000 nM AZA) or up to 32.2% (1000 nM DEC). Apoptosis rates remained unchanged in RS4;11 cells after HMA exposure.

In summary, SEM cells were more sensitive to HMA than RS4;11 cells. Effects of DEC were stronger than those of AZA.

DEC diminishes methylation levels

Cadherin 13 (CDH13), a member of the cadherin superfamily, is frequently hypermethylated in various types of cancer including BCP-ALL and was selected to evaluate CpG demethylating effects of HMA [28]. Changes on global DNA methylation were examined with the long interspersed element 1 (LINE-1) [29]. Methylation status was analyzed for up to 48 h by MSqPCR (Additional file 3). Methylation of LINE-1 or CDH13 was not modulated after short-time HMA exposure (0.5–24 h) (data not shown). Incubation with 1000 nM DEC for 48 h resulted in significantly decreased methylation of LINE-1 (67.7 ± 1.8%) as well as significant modulation of CDH13 (93.1 ± 0.7%) in SEM cells compared to DMSO-treated controls (considered as 100%). No significant changes on DNA methylation of CDH13 or LINE-1 occurred in SEM cells after AZA exposure. In RS4;11, methylation of LINE-1 and CDH13 was not affected by both substances.

Drug combination studies—influence of exposure sequence

Active drugs in ALL include cell cycle influencing agents and topoisomerase inhibitors. As HMA induce broad effects on a variety of genes (e.g., cell cycle), the sequence of drug exposure might be of importance. Therefore, sequential applications of low-dose HMA and conventional cytostatics were analyzed.

HMA and AraC

The combination of HMA and AraC enhanced the antiproliferative effect in SEM cells (Fig. 2, Additional file 7). Simultaneous DEC and AraC application decreased metabolic activity significantly (46.0 ± 7.1%) compared to control (100%) and single treatment with DEC (60.7 ± 5.9%) or AraC (79.5 ± 10.5%). Also, the simultaneous application of AraC with AZA diminished metabolic activity (46.1 ± 7.7%). However, the differences were not statistically significant compared to AraC alone. Sequential drug applications did not increase the sensitivity of AraC-exposed SEM cells compared to simultaneous treatment.

Fig. 2
figure 2

Effects of HMA and cytostatic drug combinations. Cells were treated with HMA in the absence or presence of AraC (a) or Doxo (b). Cytostatic drugs (CTX) were added simultaneously, 24 h before, or 24 h after treatment with HMA. CTX concentrations were based on low doses and used as follows: 100 nM AZA (SEM), 500 nM AZA (RS4;11), 100 nM DEC (SEM), 500 nM DEC (RS4;11); 10 nM AraC (SEM); 2500 nM AraC (RS4;11), 12.5 nM Doxo (SEM, RS4;11). The metabolic activity was determined 72 h after drug application. Significant effects are marked with * when metabolic activity decreased significantly (p < 0.05) compared at once to DMSO, HMA, and CTX

RS4;11 cells were not sensitive to AraC and were incubated with a 250-fold higher concentration compared to SEM. Additional exposure of HMA (simultaneous or sequential) did not increase the sensitivity to AraC treatment.

In addition, analysis of drug interaction with Bliss independence model was performed and showed that drugs act synergistically when cells were simultaneously exposed to HMA and AraC (Table 1). Synergistic effects were calculated for proliferation and metabolic activity. Antagonistic effects were induced by sequential drug exposure.

Table 1 Analyses of HMA combinations with AraC on BCP-ALL cells

HMA and Doxo

Exposure of BCP-ALL cells to Doxo and HMA induced in part significant antiproliferative effects compared to the monoapplication (Fig. 2, Additional file 7). Metabolism in SEM cells decreased significantly to 39.5 ± 6.0% when DEC and Doxo were added simultaneously and to 37.0 ± 4.4% when Doxo was given 24 h in advance of DEC (DEC 60.7 ± 5.9%; Doxo 57.5 ± 3.9%). But these effects were not synergistic as demonstrated by Bliss statistic (Table 2).

Table 2 Analyses of HMA combinations with Doxo on BCP-ALL cells

RS4;11 cells showed a significant decreased metabolism when Doxo was given 24 h in advance to AZA (59.9 ± 4.4%) while delayed Doxo application resulted in opposite effects (80.3 ± 2.8%). Synergism as well as antagonism has also been confirmed by Bliss.

In summary, pronounced effects were observed when cells were simultaneously exposed to HMA and cytotoxic agents. Pre-treatment with HMA was less effective and showed no beneficial effect in vitro.

DEC demonstrates antileukemic activity in vivo

Efficacy of DEC was investigated in an orthotopic ALL xenograft mouse model (SEM-ffluc-GFP, RS4;11-ffluc-GFP). Treatment started 7 days post-injection if a tumor activity was detectable by BLI. Therapy response was investigated longitudinally (Fig. 3). Additionally, the amount of GFP-expressing leukemic cells in PB (Fig. 4a, b) was monitored.

Fig. 3
figure 3

DEC decelerates ALL engraftment in vivo. a Demonstration of in vivo monitoring of luciferase expression after injection of luciferase and monitored by BLI (ph/s) in SEM-ffluc xenograft mice. Demonstrated are mice after treatment with saline-, DEC- and DEC + AraC-treated mice during 30 days (four representative mice per group). DEC-treated mice show decelerated leukemia cell proliferation as indicated with a lower BLI signal compared to saline-treated mice. b Quantification of BLI signals (ph/s) was performed by adding whole body luminescence signals of prone and supine acquisition. BLI signals are summarized as mean ± SD for SEM-ffluc (saline: n = 9, DEC: n = 9, DEC + AraC: n = 9)- and RS4;11-ffluc (saline: n = 9, DEC: n = 9)-derived xenografts. Significant treatment effects are labeled with * (p < 0.05)

Fig. 4
figure 4

DEC decelerates blast frequency in BCP-ALL xenograft models. In vivo efficacy of DEC and DEC + AraC was investigated with flow cytometry of blood, BM, and spleen in SEM-ffluc and RS4;11-ffluc xenografts. a The longitudinal mean leukemic blast frequency (%GFP+) in blood after treatment is summarized for SEM-ffluc and RS4;11-ffluc. Each group comprises of nine mice. b At day 30, blast frequency (%GFP+) in BM, spleen, and blood is displayed for DEC-, DEC + AraC-, and saline-treated mice

DEC significantly delayed leukemia cell proliferation in SEM-ffluc- and RS4-ffluc-derived xenograft models compared to saline-treated mice (Fig. 3). Proliferation differences between saline- and treated-mice were significant starting on day 14.

Further, SEM-ffluc mice were treated with DEC and AraC in combination. Of interest, additional treatment with AraC did not intensify the DEC-induced effect. Unexpectedly, DEC-treated mice exhibited a lower tumor load compared to DEC + AraC-treated mice albeit not significant.

This was also confirmed by analysis of blood, BM, and spleen (Fig. 4). On day 24, leukemic blast frequency in the blood (% SEM-ffluc-GFP) was detectable in saline-treated mice and significantly decreased in SEM-ffluc DEC-treated mice (DEC: 0.8 ± 0.4%; DEC + AraC: 1.2 ± 0.7% vs. saline-treated: 11.9 ± 8.3%). Comparable effects were observed in spleen and BM at day 30 (Fig. 4b). In total, nine animals died unexpected (Additional files 4 and 5). To summarize, DEC treatment did not eradicate ALL but delayed disease progression in both xenograft models.

Decitabine reduces metabolic activity

Metabolic activity can be evaluated with PET/CT analyzing glucose uptake after 18F-FDG tracer injection. Here, we applied this approach successfully to ALL cell imaging in xenograft mice. 18F-FDG uptake was monitored on d21 and d28 after inoculation of SEM-ffluc GFP cells into NSG mice (Fig. 5a). Physiologic 18F-FDG tracer uptake was detected in all animals (heart, bladder, kidney, brain). Metabolic active ALL cells were depicted by 18F-FDG accumulation in spleen and were quantifiable (Fig. 5b). At day 21, metabolic active ALL cells were detectable in spleen of controls (7.9 ± 0.7% ID/g) and DEC-treated (5.8 ± 4.5% ID/g) and AraC + DEC-treated (6.8 ± 1.7% ID/g) mice. At day 28, 18F-FDG uptake increased in controls (12.6 ± 0.5% ID/g) whereas only marginally changed in DEC (6.9 ± 0.9% ID/g)- or DEC + AraC (7.0 ± 3.5% ID/g)-treated mice.

Fig. 5
figure 5

18F-FDG uptake in spleen is decreased after DEC treatment. a PET/CT was performed on days 21 and 28 in SEM-ffluc xenografts. Representative PET/CT scans demonstrate differences on 18F-FDG uptake. 18F-FDG uptake in spleens of DEC-treated mice was lower than in controls. b 18F-FDG uptake in spleen was calculated for all mice and is expressed as mean [%ID/g] of the metabolic volume. Results are summarized as mean ± SD. The number of analyzed mice for each treatment group is indicated in the bars. c Displayed are representative images of spleen from saline-, DEC- and DEC + AraC-treated group; spleen weight is summarized as mean ± SD

In addition, metabolic tumor volume (mm3) derived by PET and metabolic maximum (% ID/g) were analyzed (Additional file 8). In saline-treated mice, the metabolic tumor volume increased over time from 52.3 ± 19 mm3 (d21) to 86.4 ± 21.1 mm3 (d28) whereas in DEC-treated mice, a decrease of metabolic tumor volume occurred from 42.7 ± 4.1 mm3 to 22.8 ± 15.5 mm3. Consistently, spleen weight differed significantly between saline- and DEC-treated groups (Fig. 5c).

DEC reduces leukemic proliferation in de novo pro-B-ALL-derived xenografts

DEC therapy responses in PDX models generated from three individual adult BCP-ALL patients harboring MLL rearrangements was investigated. All patients had individual cancer mutations including TP53. Primary ALL cells were not stably transduced with GFP and ffluc vector. In line with our cell line-derived xenograft models, therapy started at day 7 after tumor cell injection. Maximal four mice were used for each individual patient sample. Therapy response was analyzed in PB for up to 53 days (range 29 to 53 days) depending on ALL proliferation in mice (Fig. 6a). Mice were sacrificed when leukemic blast frequency passed the 10% threshold in PB of saline-treated animals. The amount of leukemic cells in PB was markedly reduced in DEC-treated mice (range 0.5 to 15.2%) compared to controls (range 11.1 to 52.3%). Similarly, blast frequency in spleen and BM of DEC-treated PDX mice were lower than in controls (Fig. 6b).

Fig. 6
figure 6

Blast frequency is lower in DEC-treated PDX models. a Analyses of human leukemia cells in BM, spleen, and blood analyzed from PDX mice (patient #159) by flow cytometry. Displayed are representative contour plots from saline (PDX-26)- and DEC (PDX-27)-treated mice. b Displayed is the blast frequency (%CD19+ and %CD45+) in BM, spleen, and blood of saline (#122: n = 1; #152: n = 2, #159: n = 1)- and DEC (#122: n = 2; #152: n = 2, #159: n = 2)-treated PDX mice

Response to DEC was best in PDX mice derived from patient #152. Here, blast frequency in BM (6.3 ± 4.1%), spleen (7.5 ± 6.5%), and PB (0.8 ± 0.3%) in DEC-treated mice was lower compared to PDX from patients #159 (BM 84.7 ± 0.5%; spleen 66.6 ± 0.1%; PB 12.2 ± 3.0%) and #122 (BM 66.1 ± 0.8%; spleen 54.3 ± 5.3%; PB 12.4 ± 0.4%).

Discussion

DNA hypermethylation is frequently observed in many neoplasms and is therefore a promising therapeutic target. Furthermore, it has been demonstrated that MLL-positive BCP-ALL displays a hypermethylated CpG promotor pattern providing a rationale for the evaluation of HMA approaches [10].

The aim of the current study was to evaluate the biological effect of HMA in MLL-positive BCP-ALL. Thereby, efficacy of drugs was analyzed in monoapplication and combination with conventional cytostatic drugs. Our results show that HMA decreased cell proliferation and viability of BCP-ALL. The combination of HMA with conventional cytostatic drugs revealed heterogeneous responses.

Two MLL-positive BCP-ALL cell lines (SEM and RS4;11) with different cell doubling times were selected as cell line-based models as they represent an ALL subtype-specific CpG island hypermethylation profile [10].

In SEM cells, a significant decrease of proliferation and metabolism after HMA exposure was demonstrated being associated with induction of cell cycle arrest and apoptosis. Interestingly, SEM cells were more sensitive to DEC compared to AZA exposure. In RS4;11 cells, no HMA induced significant biological effects. This could be explained on the one hand by the longer cell doubling time of RS4;11 compared to SEM cells because incorporation of HMA into the DNA occurred during DNA synthesis. On the other hand, the sensitivity of AZA and DEC can be explained by the fast decomposition of the compounds [30]. Stresemann et al. demonstrated that chemical stability of these compounds is dependent on pH value and temperature. At 37 Â°C, the half-life was 7 h for AZA and 21 h for DEC [30]. In addition, Leonard et al. investigated prolonged DEC exposure times on AML cells. The strongest antiproliferative effects were observed with repeated applications [31]. Thus, enhanced anti-proliferative effects in BCP-ALL cells in vitro might be stronger considering the half-life of AZA and DEC by using repeated HMA applications.

It is known that dosing regimen is critical for HMA. For AZA, several clinical trials have been reported with different time schedules and dosage [32,33,34]. We cannot exclude that repeated application or higher concentration of AZA affects methylation levels on LINE-1 and CDH13.

Longer incubation time and additional application of HMA might be required to sensitize RS4;11 cells and have to be evaluated in the future.

Effects of HMA on viability of B- and T-ALL cells were investigated in several previous studies [35,36,37,38,39]. Stumpel et al. analyzed the in vitro sensitivity of SEM and RS4;11 cells to different HMA. The authors showed that both cell lines were likewise DEC sensitive with IC50 values below 1 Î¼M [38]. These observations are in line with our results. Shi et al. investigated HMA in T-ALL and reported increasing apoptosis rates, when DEC and a deacetylase inhibitor were combined [35].

Further, we investigated the sensitivity of BCP-ALL cells in regard to different HMA and chemotherapeutic drug exposition sequences. Drug doses for combination studies were chosen at low concentrations. We postulated that the order influences the extent of the observed effects. Our results indicate that the combination of low-dose HMA with low-dose conventional cytostatic drugs induced in part significantly stronger antiproliferative effects compared to single drug exposure. However, effects differed between cell lines and cytostatic drugs. Pronounced effects were observed in the simultaneous application approach. To our knowledge, we investigated for the first time biological effects on MLL-positive BCP-ALL cells in regard to sequence of drug exposure including HMA. In previous studies, it has been shown that HMA influenced chemosensitivity of ALL cells differently [36, 40]. Lu et al. investigated HMA effects on a panel of T-ALL cells [36]. They demonstrated synergistic as well as antagonistic effects when cells were exposed sequentially with DEC followed by application of prednisolone, etoposide, or AraC. Interestingly, in the same study, most pronounced effects were observed on RS4;11 cells. Strong synergistic effects were induced after pretreatment of DEC followed by AraC exposure [36]. Again, drug concentrations might explain differences to our results. Another preclinical study on BCP-ALL cells demonstrated that DEC pretreatment followed by prednisolone enhanced the cytotoxicity compared to DEC alone [40]. However, the authors did not investigate other sequences.

So far, DEC-induced effects on MLL-positive BCP-ALL xenograft models have not been investigated. Here, we validated the efficacy of DEC treatment by using non-invasive imaging techniques. Orthotopic ALL xenograft models have been successfully established to evaluate leukemic proliferation in vivo and offer a powerful tool for preclinical investigations [23, 41]. Engraftment of leukemic cells using BLI is easily detectable and allows a non-invasive longitudinal determination of leukemia burden [42].

Interestingly, a significant inhibition of leukemic cell proliferation was observed in both xenograft models (SEM, RS4;11). DEC therapy responses were detectable early using BLI, preceding changes in leukemic blast frequency in PB.

In contrast and to our surprise, in vivo RS4;11 results were not in line with in vitro results as leukemic proliferation was also diminished in DEC-treated RS4;11 xenograft mice. The difference between in vitro and in vivo results regarding DEC susceptibility of RS4;11 cells might be explained by different application schemes. While DEC was applied only once in vitro, mice were treated daily for 4 days. Repeated DEC applications might be required due to the rapid and irreversible decomposition of this compound and the longer cell doubling time of RS4;11 compared to SEM cells. To test this hypothesis, we calculated the doubling times of cells in SEM-ffluc and RS4;11-ffluc xenografts based on bioluminescence data from days 7, 10, and 14 in saline-treated mice. Of interest, RS4;11 cells exhibited a lower cell doubling time (ranging from 19 to 45 h) in mice than in cell culture (ranging from 51 to 64 h). The proliferation of SEM cells in xenografts was in accordance to our in vitro proliferation data. This might explain the differences between our in vitro and in vivo observations.

Unexpectedly, in vivo concomitant treatment of DEC and AraC did not enhance the antiproliferative effect compared to DEC monotherapy. However, these observations were not consistent with our in vitro results. The combinatorial effect of HMA with Doxo was not studied on BCP-ALL xenografts because NSG mice did not tolerate Doxo dose as published by Ma el al [43]. In our Doxo dose finding study, all Doxo-treated mice loss weight, died during therapy, or were killed by euthanasia due to their bad general state (data not shown).

Further, we demonstrated that DEC also inhibited leukemia cell proliferation in PDX mice. The best therapeutic response was observed in PDX mice of patient #152. Responses in DEC-treated xenografts of #122 and #159 were lower. This could be due to the presence of additional unfavorable gene mutations such as KRAS and JAK3 [44].

In a previous study in AML and MDS patients, DEC leveled out TP53 mutations associated adverse survival to rates similar to intermediate-risk patients [45]. However, not all patients with TP53 mutations were invariably sensitive to DEC and resistant clones emerged [45].

In addition, we studied the impact on 18F-FDG uptake using small animal PET/CT in a BCP ALL xenograft model.18F-FDG PET/CT is increasingly used for diagnosis, staging, and evaluation of therapeutic response of several types of cancer including lymphoma [46,47,48]. So far, it has not been implemented in the assessment of leukemia. Case reports have demonstrated the potential of 18F-FDG-PET/CT in the follow-up of leukemic BM infiltration [49,50,51].

Here, we have shown that 18F-FDG-PET/CT is technically feasible and uptake correlates with leukemia expansion. All observations were consistent with BLI data. Our results indicate that 18F-FDG-PET/CT might be an applicable method for non-invasive detection of ALL cell metabolism in vivo.

Conclusions

In conclusion, our series of experiments indicate that HMA are active in MLL-positive BCP-ALL. Simultaneous application of DEC with AraC seems to evoke best outcomes in vitro and not in vivo. We further demonstrated that B-ALL cells can be detected in vivo by 18F-FDG-PET/CT raising the possibility of non-invasive response detection. DEC treatment did not eradicate ALL but delayed disease progression in xenograft models. Further studies are required to evaluate therapy responses after repeated DEC applications in BCP-ALL xenografts.

Abbreviations

18F-FDG:

Fluorodeoxyglucose

ALL:

Acute lymphoblastic leukemia

AraC:

Cytarabine

AZA:

Azacitidine

BCP-ALL:

B cell precursor acute lymphoblastic leukemia

DEC:

Decitabine

DOXO:

Doxorubicin

ffluc:

Firefly luciferase

GFP:

Green fluorescent protein

HMA:

Hypomethylating agents

MLL:

Mixed lineage leukemia

NSG:

NOD scid gamma

PDX:

Patient-derived xenograft

PET/CT:

Positron emission tomography/computed tomography

References

  1. Marchesi F, Girardi K, Avvisati G. Pathogenetic, clinical, and prognostic features of adult t(4;11)(q21;q23)/MLL-AF4 positive B-cell acute lymphoblastic leukemia. Adv Hematol. 2011;2011:621627.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Marks DI, Moorman AV, Chilton L, Paietta E, Enshaie A, DeWald G, et al. The clinical characteristics, therapy and outcome of 85 adults with acute lymphoblastic leukemia and t(4;11)(q21;q23)/MLL-AFF1 prospectively treated in the UKALLXII/ECOG2993 trial. Haematologica. 2013;98:945–52.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. Stock W, Johnson JL, Stone RM, Kolitz JE, Powell BL, Wetzler M, et al. Dose intensification of daunorubicin and cytarabine during treatment of adult acute lymphoblastic leukemia. Cancer. 2013;119:90–8.

    Article  CAS  PubMed  Google Scholar 

  4. Rytting ME, Jabbour EJ, Jorgensen JL, Ravandi F, Franklin AR, Kadia TM, et al. Final results of a single institution experience with a pediatric-based regimen, the augmented Berlin-Frankfurt-Münster, in adolescents and young adults with acute lymphoblastic leukemia, and comparison to the hyper-CVAD regimen. Am J Hematol. 2016;91:819–23.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Gökbuget N, Hoelzer D. Treatment of adult acute lymphoblastic leukemia. Semin Hematol. 2009;46:64–75.

    Article  PubMed  Google Scholar 

  6. Nijmeijer BA, van Schie MLJ, Halkes CJM, Griffioen M, Willemze R, Falkenburg JHF. A mechanistic rationale for combining alemtuzumab and rituximab in the treatment of ALL. Blood. 2010;116:5930–40.

    Article  CAS  PubMed  Google Scholar 

  7. Ballabio E, Milne TA. Epigenetic control of gene expression in leukemogenesis: cooperation between wild type MLL and MLL fusion proteins. Mol Cell Oncol. 2014;1:e955330.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Stumpel DJPM, Schneider P, van Roon EHJ, Pieters R, Stam RW. Absence of global hypomethylation in promoter hypermethylated mixed lineage leukaemia-rearranged infant acute lymphoblastic leukaemia. Eur J Cancer. 2013;49:175–84.

    Article  CAS  PubMed  Google Scholar 

  9. Geng H, Brennan S, Milne TA, Chen W-Y, Li Y, Hurtz C, et al. Integrative epigenomic analysis identifies biomarkers and therapeutic targets in adult B-acute lymphoblastic leukemia. Cancer Discov. 2012;2:1004–23.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Stumpel DJPM, Schneider P, van Roon EHJ, Boer JM, de Lorenzo P, Valsecchi MG, et al. Specific promoter methylation identifies different subgroups of MLL-rearranged infant acute lymphoblastic leukemia, influences clinical outcome, and provides therapeutic options. Blood. 2009;114:5490–8.

    Article  CAS  PubMed  Google Scholar 

  11. Estey EH. Epigenetics in clinical practice: the examples of azacitidine and decitabine in myelodysplasia and acute myeloid leukemia. Leukemia. 2013;27:1803–12.

    Article  CAS  PubMed  Google Scholar 

  12. Kantarjian HM, Thomas XG, Dmoszynska A, Wierzbowska A, Mazur G, Mayer J, et al. Multicenter, randomized, open-label, phase III trial of decitabine versus patient choice, with physician advice, of either supportive care or low-dose cytarabine for the treatment of older patients with newly diagnosed acute myeloid leukemia. J Clin Oncol. 2012;30:2670–7.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  13. Dombret H, Seymour JF, Butrym A, Wierzbowska A, Selleslag D, Jang JH, et al. International phase 3 study of azacitidine vs conventional care regimens in older patients with newly diagnosed AML with > 30% blasts. Blood. 2015;126:291–9.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  14. Benton CB, Thomas DA, Yang H, Ravandi F, Rytting M, O’Brien S, et al. Safety and clinical activity of 5-aza-2′-deoxycytidine (decitabine) with or without hyper-CVAD in relapsed/refractory acute lymphocytic leukaemia. Br J Haematol. 2014;167:356–65.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  15. Burke MJ, Lamba JK, Pounds S, Cao X, Ghodke-Puranik Y, Lindgren BR, et al. A therapeutic trial of decitabine and vorinostat in combination with chemotherapy for relapsed/refractory acute lymphoblastic leukemia. Am J Hematol. 2014;89:889–95.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  16. Quagliano A, Gopalakrishnapillai A, Barwe SP. Epigenetic drug combination overcomes osteoblast-induced chemoprotection in pediatric acute lymphoid leukemia. Leuk Res. 2017;56:36–43.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  17. Schult C, Dahlhaus M, Ruck S, Sawitzky M, Amoroso F, Lange S, et al. The multikinase inhibitor Sorafenib displays significant antiproliferative effects and induces apoptosis via caspase 3, 7 and PARP in B- and T-lymphoblastic cells. BMC Cancer. 2010;10:560.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Greil J, Gramatzki M, Burger R, Marschalek R, Peltner M, Trautmann U, et al. The acute lymphoblastic leukaemia cell line SEM with t(4;11) chromosomal rearrangement is biphenotypic and responsive to interleukin-7. Br J Haematol. 1994;86:275–83.

    Article  CAS  PubMed  Google Scholar 

  19. Stong RC, Korsmeyer SJ, Parkin JL, Arthur DC, Kersey JH. Human acute leukemia cell line with the t(4;11) chromosomal rearrangement exhibits B lineage and monocytic characteristics. Blood. 1985;65:21–31.

    CAS  PubMed  Google Scholar 

  20. Liu Z, Marcucci G, Byrd JC, Grever M, Xiao J, Chan KK. Characterization of decomposition products and preclinical and low dose clinical pharmacokinetics of decitabine (5-aza-2′-deoxycytidine) by a new liquid chromatography/tandem mass spectrometry quantification method. Rapid Commun Mass Spectrom. 2006;20:1117–26.

    Article  CAS  PubMed  Google Scholar 

  21. Johnson SA. Clinical pharmacokinetics of nucleoside analogues. Clin Pharmacokinet. 2000;39:5–26.

    Article  CAS  PubMed  Google Scholar 

  22. Kretzschmar C, Roolf C, Langhammer T-S, Sekora A, Pews-Davtyan A, Beller M, et al. The novel arylindolylmaleimide PDA-66 displays pronounced antiproliferative effects in acute lymphoblastic leukemia cells. BMC Cancer. 2014;14:71.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Terziyska N, Castro Alves C, Groiss V, Schneider K, Farkasova K, Ogris M, et al. In vivo imaging enables high resolution preclinical trials on patients’ leukemia cells growing in mice.Castro Alve. PLoS One. 2012;7:e52798.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Mahfouz RZ, Jankowska A, Ebrahem Q, Gu X, Visconte V, Tabarroki A, et al. Increased CDA expression/activity in males contributes to decreased cytidine analog half-life and likely contributes to worse outcomes with 5-azacytidine or decitabine therapy. Clin Cancer Res. 2013;19:938–48.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Jiang C, Hu X, Wang L, Cheng H, Lin Y, Pang Y, et al. Excessive proliferation and impaired function of primitive hematopoietic cells in bone marrow due to senescence post chemotherapy in a T cell acute lymphoblastic leukemia model. J Transl Med. 2015;13:234.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Kretzschmar C, Roolf C, Timmer K, Sekora A, Knübel G, Murua Escobar H, et al. Polymorphisms of the murine mitochondrial ND4, CYTB and COX3 genes impact hematopoiesis during aging. Oncotarget. 2016;7:74460–72.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Foucquier J, Guedj M. Analysis of drug combinations: current methodological landscape. Pharmacol Res Perspect. 2015;3:e00149.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Kroeger H, Jelinek J, Estécio MRH, He R, Kondo K, Chung W, et al. Aberrant CpG island methylation in acute myeloid leukemia is accentuated at relapse. Blood. 2008;112:1366–73.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Cross M, Bach E, Tran T, Krahl R, Jaekel N, Niederwieser D, et al. Pretreatment long interspersed element (LINE)-1 methylation levels, not early hypomethylation under treatment, predict hematological response to azacitidine in elderly patients with acute myeloid leukemia. Onco Targets Ther. 2013;6:741–8.

    CAS  PubMed  PubMed Central  Google Scholar 

  30. Stresemann C, Lyko F. Modes of action of the DNA methyltransferase inhibitors azacytidine and decitabine. Int J Cancer. 2008;123:8–13.

    Article  CAS  PubMed  Google Scholar 

  31. Leonard SM, Perry T, Woodman CB, Kearns P. Sequential treatment with cytarabine and decitabine has an increased anti-leukemia effect compared to cytarabine alone in xenograft models of childhood acute myeloid leukemia. PLoS One. 2014;9:e87475.

    Article  PubMed  PubMed Central  Google Scholar 

  32. Müller-Tidow C, Tschanter P, Röllig C, Thiede C, Koschmieder A, Stelljes M, et al. Azacitidine in combination with intensive induction chemotherapy in older patients with acute myeloid leukemia: the AML-AZA trial of the study alliance leukemia. Leukemia. 2016;30:555–61.

    Article  PubMed  Google Scholar 

  33. Garcia-Manero G, Sekeres MA, Egyed M, Breccia M, Graux C, Cavenagh JD, et al. A phase 1b/2b multicenter study of oral panobinostat plus azacitidine in adults with MDS, CMML or AML with ⩽30% blasts. Leukemia. 2017;31:2799–806.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Martin MG, Walgren RA, Procknow E, Uy GL, Stockerl-Goldstein K, Cashen AF, et al. A phase II study of 5-day intravenous azacitidine in patients with myelodysplastic syndromes. Am J Hematol. 2009;84:560–4.

    Article  CAS  PubMed  Google Scholar 

  35. Shi P, Zhang L, Chen K, Jiang Z, Deng M, Zha J, et al. Low-dose decitabine enhances chidamide-induced apoptosis in adult acute lymphoblast leukemia, especially for p16 -deleted patients through DNA damage. Pharmacogenomics. 2017;18:1259–70.

    Article  CAS  PubMed  Google Scholar 

  36. Lu BY, Thanawala SU, Zochowski KC, Burke MJ, Carroll WL, Bhatla T. Decitabine enhances chemosensitivity of early T-cell precursor-acute lymphoblastic leukemia cell lines and patient-derived samples. Leuk Lymphoma. 2016;57:1938–41.

    Article  PubMed  Google Scholar 

  37. Soleymani Fard S, Jeddi Tehrani M, Ardekani AM. Prostaglandin E2 induces growth inhibition, apoptosis and differentiation in T and B cell-derived acute lymphoblastic leukemia cell lines (CCRF-CEM and Nalm-6). Prostaglandins Leukot Essent Fatty Acids. 2012;87:17–24.

    Article  PubMed  Google Scholar 

  38. Stumpel DJPM, Schneider P, Pieters R, Stam RW. The potential of clofarabine in MLL-rearranged infant acute lymphoblastic leukaemia. Eur J Cancer. 2015;51:2008–21.

    Article  CAS  PubMed  Google Scholar 

  39. Schafer E, Irizarry R, Negi S, McIntyre E, Small D, Figueroa ME, et al. Promoter hypermethylation in MLL-r infant acute lymphoblastic leukemia: biology and therapeutic targeting. Blood. 2010;115:4798–809.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  40. Bhatla T, Wang J, Morrison DJ, Raetz EA, Burke MJ, Brown P, et al. Epigenetic reprogramming reverses the relapse-specific gene expression signature and restores chemosensitivity in childhood B-lymphoblastic leukemia. Blood. 2012;119:5201–10.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  41. Weisberg E, Banerji L, Wright RD, Barrett R, Ray A, Moreno D, et al. Potentiation of antileukemic therapies by the dual PI3K/PDK-1 inhibitor, BAG956: effects on BCR-ABL- and mutant FLT3-expressing cells. Blood. 2008;111:3723–34.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Wetterwald A, van der Pluijm G, Que I, Sijmons B, Buijs J, Karperien M, et al. Optical imaging of cancer metastasis to bone marrow. Am J Pathol. 2002;160:1143–53.

    Article  PubMed  PubMed Central  Google Scholar 

  43. Ma P, Dong X, Swadley CL, Gupte A, Leggas M, Ledebur HC, et al. Development of idarubicin and doxorubicin solid lipid nanoparticles to overcome Pgp-mediated multiple drug resistance in leukemia. J Biomed Nanotechnol. 2009;5:151–61.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. McCubrey JA, Steeman L, Chappell W, Abrams S, Montalto G, Cervello M, et al. Mutations and deregulation of Ras/Raf/MEK/ERK and PI3K/PTEN/Akt/mTOR cascades. Oncotarget. 2012;3:954–87.

    PubMed  PubMed Central  Google Scholar 

  45. Welch JS, Petti AA, Miller CA, Fronick CC, O’Laughlin M, Fulton RS, et al. TP53 and decitabine in acute myeloid leukemia and myelodysplastic syndromes. N Engl J Med. 2016;375:2023–36.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  46. Endo K, Oriuchi N, Higuchi T, Iida Y, Hanaoka H, Miyakubo M, et al. PET and PET/CT using 18F-FDG in the diagnosis and management of cancer patients. Int J Clin Oncol. 2006;11:286–96.

    Article  PubMed  Google Scholar 

  47. Poeppel TD, Krause BJ, Heusner TA, Boy C, Bockisch A, Antoch G. PET/CT for the staging and follow-up of patients with malignancies. Eur J Radiol. 2009;70:382–92.

    Article  CAS  PubMed  Google Scholar 

  48. Cheson BD, Fisher RI, Barrington SF, Cavalli F, Schwartz LH, Zucca E, et al. Recommendations for initial evaluation, staging, and response assessment of Hodgkin and non-Hodgkin lymphoma: the Lugano classification. J Clin Oncol. 2014;32:3059–67.

    Article  PubMed  PubMed Central  Google Scholar 

  49. Parida GK, Soundararajan R, Passah A, Bal C, Kumar R. Metabolic skeletal superscan on 18F-FDG PET/CT in a case of acute lymphoblastic leukemia. Clin Nucl Med. 2015;40:567–8.

    Article  PubMed  Google Scholar 

  50. Stolzel F, Rollig C, Radke J, Mohr B, Platzbecker U, Bornhauser M, et al. 18F-FDG-PET/CT for detection of extramedullary acute myeloid leukemia. Haematologica. 2011;96:1552–6.

    Article  PubMed  PubMed Central  Google Scholar 

  51. Su K, Nakamoto Y, Nakatani K, Kurihara K, Hayakawa N, Togashi K. Diffuse homogeneous bone marrow uptake of FDG in patients with acute lymphoblastic leukemia. Clin Nucl Med. 2013;38:e33–4.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We thank Prof. Irmela Jeremias and Dr. Binje Vick for the lentiviral transduction of BCP-ALL cell lines and excellent collaboration.

Funding

This work was supported by FORUN grant of Rostock University Medical Center (CR). AR received a scholarship of the German Federal State of Mecklenburg-Vorpommern, Germany.

Availability of data and materials

The datasets used and analyzed during the current study are available from the corresponding author on a reasonable request.

Author information

Authors and Affiliations

Authors

Contributions

CR designed the study; performed the in vitro experiments; established the xenograft model; performed the xenograft experiments, data analysis, and interpretation; and wrote the manuscript. AR performed the MSqPCR, analyzed the next-generation sequencing data, performed the xenograft experiments, and participated in writing the manuscript. CK performed the cell culture experiments and data analysis and participated in writing the manuscript. GK provided the technical assistance for xenograft experiments and performed the sample preparation. SK performed the next-generation sequencing. AS performed the cell culture experiments and flow cytometry analysis. JS participated in the PET/CT project design, PET/CT imaging, and data analysis. BJK participated in the PET/CT project design and data analysis. BV participated in the PET/CT project design and data analysis. HME performed the next-generation sequencing and data analysis and critically revised the manuscript. CJ designed the study and participated in the paper drafting and its finalization. All authors read and approved the final manuscript.

Corresponding author

Correspondence to C. Junghanss.

Ethics declarations

Ethics approval

The study was performed in accordance to the Declaration of Helsinki and the local ethical standards of the Rostock University Medical Center.

All animal experiments were approved by the review board of the federal state of Mecklenburg-Vorpommern, Germany (reference number: LALLF MV/7221.3-1.1-002/15).

Competing interests

The authors declare that they have no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Additional files

Additional file 1:

Patient characteristics. (DOCX 17 kb)

Additional file 2:

Methylation-specific quantitative PCR. (MSqPCR) (DOCX 15 kb)

Additional file 3:

DEC reduces methylation of LINE-1 and CDH13. (DOCX 49 kb)

Additional file 4:

List of SEM-ffluc xenograft mice used for imaging studies. (DOCX 16 kb)

Additional file 5:

List of RS4;11-ffluc xenograft mice. (DOCX 14 kb)

Additional file 6:

Effects of HMA on proliferation. (DOCX 114 kb)

Additional file 7:

Effects of HMA and cytostatic drug combinations on proliferation. (DOCX 231 kb)

Additional file 8:

18F-FDG uptake parameter. (DOCX 43 kb)

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Roolf, C., Richter, A., Konkolefski, C. et al. Decitabine demonstrates antileukemic activity in B cell precursor acute lymphoblastic leukemia with MLL rearrangements. J Hematol Oncol 11, 62 (2018). https://doi.org/10.1186/s13045-018-0607-3

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s13045-018-0607-3

Keywords