Literature DB >> 32381577

The ASXL1-G643W variant accelerates the development of CEBPA mutant acute myeloid leukemia.

Teresa D'Altri1, Anna S Wilhelmson1, Mikkel B Schuster1, Anne Wenzel1, Adrija Kalvisa1, Sachin Pundhir1, Anne Meldgaard Hansen1, Bo T Porse1.   

Abstract

ASXL1 is one of the most commonly mutated genes in myeloid malignancies, including Myelodysplastic Syndrome (MDS) and Acute Myeloid Leukemia (AML). In order to further our understanding of the role of ASXL1 lesions in malignant hematopoiesis, we generated a novel knock-in mouse model carrying the most frequent ASXL1 mutation identified in MDS patients, p.G643WfsX12. Mutant mice did not display any major hematopoietic defects nor developed any apparent hematological disease. In AML patients, ASXL1 mutations co-occur with mutations in CEBPA and we therefore generated compound Cebpa and Asxl1 mutated mice. Using a transplantation model, we found that the mutated Asxl1 allele significantly accelerated disease development in a CEBPA mutant context. Importantly, we demonstrated that, similar to the human setting, Asxl1 mutated mice responded poorly to chemotherapy. This model therefore constitutes an excellent experimental system for further studies into the clinically important question of chemotherapy resistance mediated by mutant ASXL1.

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Year:  2021        PMID: 32381577      PMCID: PMC8017816          DOI: 10.3324/haematol.2019.235150

Source DB:  PubMed          Journal:  Haematologica        ISSN: 0390-6078            Impact factor:   9.941


Introduction

Additional sex comb-like 1 (ASXL1) is a frequently mutated gene in myeloid malignancies including myelodysplastic syndrome (MDS) and acute myeloid leukemia (AML).[1,2]Moreover, ASXL1 mutations are also highly prevalent in premalignant states such as clonal hematopoiesis of indeterminate potential (CHIP), demonstrating that ASXL1 lesions are early driver events with the potential to predispose for further malignant transformation.[3,4] The vast majority of ASXL1 mutations are located in the last exon and are deletions, insertions, or substitutions resulting in stop codon mutations and truncation of the ASXL1 protein.[1,2] Mutations are always monoallelic and mRNA expression levels are variable. Due to difficulties in detecting ASXL1 in human samples, ASXL1 mutations were originally believed to be loss of function lesions and consequently haploinsufficient.[5] However, in a more recent work, the truncated protein can indeed be detected, raising the possibility that ASXL1 mutations may act as dominant negative or gain of function variants.[6] Mechanistically, ASXL1 is a dual function epigenetic regulator. Specifically, it interacts directly with the BRCA1-associated protein 1 (BAP1) to form a complex which de-ubiquitinates H2AK119Ub, a repressive histone mark deposited by the polycomb repressive complex 1 (PRC1).[5,7,8] Moreover, ASXL1 interacts with the components of the polycomb repressive complex 2 (PRC2) which deposits the H3K27me3 repressive mark.[5,9] The interest in the role of ASXL1 in malignant hematopoiesis has spurred the development of several Asxl1 knockout mouse models[10-12] (for a recent review, see[13]) Although these models do not result in identical phenotypes, they all show phenotypes consistent with human MDS. Interestingly, overexpression of a truncated form of Asxl1 yielded similar results suggesting that the mutations found in patients result in a dominant-negative version of the protein.[6] In line with these findings, several reports have indicated that truncated ASXL1 enhances BAP1 complex activity, thereby promoting depletion of the H2AK119Ub mark and aberrant myeloid differentiation.[14,15] More refined modeling of ASXL1 function in hematological malignancies has been performed by knockin of patient-specific ASXL1 lesions into the murine Asxl1 locus.[16,17] These knockin mice generally exhibit more subtle phenotypes compared to the complete deletion of the gene. Although heterozygous knockin mice do no develop MDS or AML, the knockin alleles collaborate with other leukemic drivers such as MN1 and RUNX1 or accelerate AML development in an insertional mutagenesis setting.[16,17] CEBPA is a key myeloid transcription factor which is mutated in approximately 10% of AML patients and biallelic CEBPA mutant AML constitutes a specific AML subtype. [18-20] These patients either harbor biallelic N-terminal lesions or, more frequently, combine these lesions with a C-terminal mutation. Whereas the N-terminal lesions promote the expression of the N-terminally truncated p30 isoform, C-terminal mutations result in variants that are unable to dimerize and are consequently inactive. Hence, the genetic lesions in biallelic CEBPA mutant AML converge at the expression of the N-terminally truncated p30 isoform in the form of CEBPA-p30 homodimers.[20] In stark contrast to full-length CEBPA, CEBPA-p30 is not able to repress E2F-mediated cell cycle progression[21] and recent work has also identified specific downstream targets of this oncogenic CEBPA variant.[22] Importantly, mice in which CEBPA-p30 expression is driven from the endogenous Cebpa locus develop AML within the first year of their lives.[21] Interestingly, mutations in ASXL1 are frequent in biallelic CEBPA mutant AML, but how these two sets of lesions interact functionally is currently unknown.[23,24] In the present work, we generated a novel Asxl1 knockin line by introducing the most common diseaseassociated mutation (p.G643WfsX12) into the murine Asxl1 allele.[2,25] In order to assess the importance of Asxl1 lesions in the context of biallelic CEBPA mutated AML, we combined lesions in these two proteins and found that the ASXL1 mutation accelerated the development of CEBPA-p30 driven AML. Gene expression analysis yielded potential drivers of the accelerated phenotype. Interestingly, ASXL1 mutated AML were largely refractory to chemotherapy, thereby paralleling the findings from the human setting.

Methods

Generation of the Asxl1 knockin mice

The Asxl1G knockin line was generated using the double nicking CRISPR-Cas9 system in embryonic stem cells (ESC), followed by blastocyst injection. Two pspCas9n-2A-Puro constructs containing the two Asxl1 target sequences were electroporated into C57BL/6N ESCs together with a 141-mer single stranded (ss) DNA correction template containing the desired mutation. ESC clones were screened for the presence of the mutation and correctly targeted clones were injected into mouse blastocysts. Please refer to the Online Supplementary Appendix for additional details. F1 offspring were backcrossed into C57BL/6 and maintained on that background. Animals were housed in a specific-pathogen-free facility and all procedures were approved by the Danish Animal Ethical Committee.

In vivo acute myeloid leukemia development

Bone marrow (BM) cells were retrieved and frozen in fetal calf serum (FCS) with 10% DMSO. For leukemic experiments, stored BM was thawed and 2 million viable cells were transplanted into lethally irradiated (900 Gy) recipients by tail vein injection. Three weeks later, recipients were subjected to three intraperitoneal injections with poly-IC (0.3 mg in 200 mL PBS, GE Healthcare) separated by 48 hours. Recipient mice were monitored for leukemic development and euthanized when moribund. Please refer to the Online Supplementary Appendix for additional details. For the chemotherapy experiments, we transplanted cohorts of sublethally irradiated recipients with frozen secondary AML. Three weeks after transplant half the mice in each cohort were treated for 3 days with cytarabine 50 mg/kg and doxorubicine 1 mg/kg and for 2 days with cytarabine 50 mg/kg. The remaining mice received PBS as vehicle treatment. 25-30 mL of blood were harvested for analysis three days after the last injection. Leukemic cell numbers were determined by combining cell counting with CD45.1 (recipient)/ CD45.2 (donor) flow cytometry. For the survival study, the mice were observed for signs of disease and euthanized when moribund.

Flow cytometry analysis and cell sorting

For blood analysis, 50 mL blood was collected from the facial vein. Erythrocytes were depleted with BD PharmLyse. For BM analysis, cells were collected by crushing tibia, femur and ilium and filtered. Blood or BM nucleated cells were washed in PBS with 3% FCS and stained for 15 min at 4°C. Please refer to the Online Supplementary Appendix for additional details (antibodies and marker combinations).

Statistics

Unpaired t-test was used to compare values in the different groups. Log-rank (Mantel-Cox) test was used to compare survival distributions. For the chemotherapy data in Figure 5B a one-tailed Mann-Whitney U test was used.
Figure 5.

The ASXL1 (A) Schematic outline of the chemotherapy treatment set-up. Briefly, sublethally irradiated recipient mice were transplanted with bone marrow (BM) cells harvested from leukemic mice. Twenty-one days after transplant, recipient mice were treated with standard induction chemotherapy for 5 days. Three days later, blood was harvested for analysis and leukemic mice were subsequently monitored for disease development. (B) Analysis of peripheral leukemic numbers in mice after chemotherapy/vehicle treatment. Each data point represents the fold change difference between the vehicle-treated and chemotherapy-treated groups for a given clone (n=12 mice per clone). The two different genotypes, Asxl1; CebpaΔ and Asxl1G643W/G643W CebpaΔ, were represented by four and three clones, respectively. The responses of individual clones are indicated in the Online Supplementary Figure S4. A one-tailed Mann-Whitney U test was used to assess statistical significance. (C) Kaplan-Meyer survival curves of leukemic mice after chemotherapy/vehicle treatment. The data represent the aggregate of two different leukemic clones (n=6 recipients of each clone, clones 1-2 and 5-6) for each of the two different genotypes (Asxl1; CebpaΔ and Asxl1G643W/G643W; CebpaΔ).

RNA sequencing

Donor derived AML blasts (CD45.2, Ter119-, B220-, CD3-, Mac1low, Gr1low, c-Kit+) were sorted from frozen BM samples into RLT lysis buffer (Qiagen) and RNA was extracted using the RNA Microkit (Qiagen). 100 ng RNA was used for the library generation, using TruSeq-V2 kit (Illumina). The libraries were analyzed by Qbit (ThermoFisher) and Bioanalyzer (Agilent) and pooled in equimolar amounts. Multiplexed samples were sequenced on a NextSeq 500 (Illumina) yielding approximately 35-45 million reads per sample. Please refer to the Online Supplementary Appendix for additional details.

Results

Generation of the Asxl1 knockin mouse line

In order to model the role of ASXL1 lesions in hematopoietic malignancies in the best possible manner, we decided to generate a mouse line expressing the most common ASXL1 mutation (G643WfsX12, from hereon G643W) found in MDS patients.[2,25] Specifically, we used a double nicking CRISPR-Cas9 system in combination with a 141 bp ssDNA donor strand to introduce the c.1934dupG mutation into the endogenous Asxl1 locus. This approach results in the insertion of a G within a stretch of eigth G located in the last exon of Asxl1 which in turn generates a frameshift and an in-frame stop codon 12 codons downstream, thereby precisely mimicking the human situation (Figure 1A). The mutated Asxl1 allele expresses a truncated form of ASXL1 lacking the C-terminal plant homeodomain (Figure 1B). Both Asxl1 and Asxl1 mice express elevated levels of Asxl1, demonstrating that the mutated allele escapes nonsensemediated mRNA decay (Figure 1C). This is in line with the previously observed expression of truncated ASXL1 in patient cells.[6] The increased levels of the mutated mRNA could potentially be the result of a feedback mechanism.
Figure 1.

Generation of the (A) Schematic representation of the three last exons of the Asxl1 gene. The red star represents the G643W mutation. The “g” inserted in the mutated allele is indicated in red. The protein sequence is in capitals and the asterisk represents the stop codon generated as a result of the frameshift. The blue arrows represent primers used for genotyping (two forward primers have been used to selectively anneal the wild-type [WT] and mutated sequence, respectively). (B) Schematic representation of WT and G643W mutant ASX1 proteins. The major plant homeodomain (PHD) and additional sex combs homology domain (ASXH) are indicated. Amino acids are numbered. The light blue arrows represent the primers used for quantitative RT-PCR. (C) The relative expression of Asxl1 cDNA in Asxl1+/+, Asxl1 and Asxl1 BM cells, determined by quantitative RT-PCR (n=3 mice in each experimental group).

Generation of the (A) Schematic representation of the three last exons of the Asxl1 gene. The red star represents the G643W mutation. The “g” inserted in the mutated allele is indicated in red. The protein sequence is in capitals and the asterisk represents the stop codon generated as a result of the frameshift. The blue arrows represent primers used for genotyping (two forward primers have been used to selectively anneal the wild-type [WT] and mutated sequence, respectively). (B) Schematic representation of WT and G643W mutant ASX1 proteins. The major plant homeodomain (PHD) and additional sex combs homology domain (ASXH) are indicated. Amino acids are numbered. The light blue arrows represent the primers used for quantitative RT-PCR. (C) The relative expression of Asxl1 cDNA in Asxl1+/+, Asxl1 and Asxl1 BM cells, determined by quantitative RT-PCR (n=3 mice in each experimental group).

The Asxl1 variant has minimal impact on normal hematopoiesis

We next assessed the impact of the G643W mutation in the context of normal hematopoiesis. Both Asxl1 and Asxl1 mice were born at the expected Mendelian ratios and showed a normal lifespan. This suggests that the ASXL1G643W variant has no impact on embryonic development or aging. We next analyzed peripheral blood for the relative frequencies of the major blood lineages. Six-month old Asxl1 and Asxl1 mice displayed no major changes within the peripheral blood compared to wildtype (WT) controls (Figure 2A). However, at 18 months, we observed a skewing towards the myeloid lineage in ASXL1 mutated mice (Figure 2B-C, Online Supplementary Figure S1A). The age-dependent skewing was accompanied by a mild splenomegaly (Figure 2G).
Figure 2.

The ASXL1 (A) Fluorescence-activated cell sorting (FACS)-based analysis of the peripheral blood of 6-month old Asxl1 and Asxl1 mice (n>11 mice in each experimental group). The relative distribution of B cells (B220), T cells (CD3), neutrophilic granulocytes (Mac1-Gr1) and other monocytic/granulocytic cells (Mac1) was analyzed. (B) FACS-based analysis of the peripheral blood of 18-month old Asxl1, Asxl1 and Asxl1 mice (n>5 mice in each experimental group). The relative distribution of B cells (B220), T cells (CD3), neutrophilic granulocytes (Mac1-Gr1) and other monocytic/granulocytic cells (Mac1) was analyzed. (C) Representative FACS profiles of the data from (A-B) with the gating strategy indicated. The FACS profile represents an Asxl1 control mouse. See the Online Supplementary Figure S1 for representative FACS plots of Asxl1 and Asxl1 animals. (D) FACS-based analysis of bone marrow hematopoietic stem cell (HSC) and multipotent progenitor (MPP) subsets in 6-month old Asxl1, Asxl1 and Asxl1 mice (n>5 mice in each experimental group). (E) Representative FACS profiles of the data from (D) with the gating strategy indicated. The FACS profile represents an Asxl1 control mouse. See the Online Supplementary Figure S1 for representative FACS plots of Asxl1 and Asxl1 animals. (F) Lineage distribution of mature bone marrow (BM) subsets in 6-month old Asxl1, Asxl1 and Asxl1 mice (n>5 mice in each experimental group). The relative distribution of B cells (B220), T cells (CD3), neutrophilic granulocytes (Mac1-Gr1) and other monocytic/granulocytic cells (Mac1) was analyzed. (G) Spleen weights of 18-month old Asxl1, Asxl1 and Asxl1 mice (n>5 mice in each experimental group). (H) Competitive BM transplantation of 1:1 mixtures of CD45.2 donor BM cells from 6-month old Asxl1, Asxl1or Asxl1 mice and CD45.1 competitor cells into lethally irradiated CD45.1 recipient mice. The ratio of CD45.2 to CD45.1 in peripheral blood is depicted (n>7 mice in each experimental group).

Consistent with the lack of changes in the peripheral blood in young mice, 6-month old Asxl1 and Asxl1 neither displayed any changes within the hematopoietic stem cell (HSC) and multipotent progenitor (MPP) compartment, nor within the distribution of mature blood lineages in the bone marrow (Figure 2D-F, Online Supplementary Figure S1B). Competitive transplantation of ASXL1-mutated BM cells revealed a significant but minor reduction in the ability of Asxl1 BM to reconstitute hematopoiesis, suggesting that HSC functionality is only mildly affected (Figure 2H). Collectively, these findings show that mutation of ASXL1 leads to a mild and age-dependent perturbation of the hematopoietic system in mice.

The ASXL1G643W variant accelerates the development of CEBPA mutant acute myeloid leukemia

Mutations in ASXL1 and CEBPA are frequently cooccurring in AML patients.[23,24] In order to test the potential functional interplay between these factors, we crossed all three Asxl1 genotypes onto either a Cebpa; Mx1Cre or Cebpa background resulting in a total of six genotypes. We subsequently transplanted BM from these mice into lethally irradiated recipients and 3 weeks later induced the deletion of the conditional Cebpa allele by injections with polyinosinic:polycytidylic (pIpC) acid (Figure 3A). This strategy facilitates the deletion of the full-length Cebpa allele, thereby allowing the Cebpa allele to exert its oncogenic function. Consistent with previous findings, Asxl1D donor cells sustain the development of AML with a median latency of 43 weeks (Figure 3B).[26] Interestingly, both heterozygous and homozygous expression of the ASXL1G643W variant significantly accelerated CEBPA mutant driven AML development, with median disease latencies of 37 and 38 weeks, respectively. In contrast, none of the control CebpaD genotypes lead to AML, irrespective of their Asxl1 mutation status.
Figure 3.

The ASXL1 (A) Schematic outline of the experiment. Briefly, bone marrow (BM) was harvested from mice with different genotypes and then transplanted into cohorts of irradiated recipients. Three weeks after the transplant, mice were injected with pIpC and subsequently observed for signs of disease development over a period of 60 weeks. (B) Kaplan-Meyer survival curve of transplanted mice. The arrow indicates the time point for injection with pIpC. We used a Log-rank (Mantel-Cox) test to determine statistical significance (n>7 mice in each experimental group). (C) Giemsa staining of Asxl1; CebpaΔ or Asxl1; CebpaΔ leukemic blasts isolated from the BM of moribund mice. A normal aged-matched mouse was included as a control. (D) Fluorescence-activated cell sorting (FACS) analysis of Asxl1; CebpaΔ or Asxl1; CebpaΔ leukemic blast isolated from transplanted mice. The plot shows the amount of donor-derived c-Kit positive cells. A normal aged-matched mouse was included as a control. (E) Quantification of the data from (D) (n=3 mice in each experimental group).

Given that Asxl1 animals, compared to their heterozygous counterparts, displayed a somewhat more pronounced phenotype during steady-state hematopoiesis, we decided to focus on this genotype in the context of CEBPA mutant AML. Whereas Asxl1; CebpaD and Asxl1; CebpaD leukemias appeared morphologically identical, the latter displayed a trend towards increased levels of c-Kit (Figure 3C-E, Online Supplementary Figure S2). This suggests that the Asxl1 mutation, at least in the context of CEBPA mutant AML, could result in a slightly more immature leukemic phenotype which would be consistent with the more aggressive nature of ASXL1 mutant AML. The ASXL1 (A) Fluorescence-activated cell sorting (FACS)-based analysis of the peripheral blood of 6-month old Asxl1 and Asxl1 mice (n>11 mice in each experimental group). The relative distribution of B cells (B220), T cells (CD3), neutrophilic granulocytes (Mac1-Gr1) and other monocytic/granulocytic cells (Mac1) was analyzed. (B) FACS-based analysis of the peripheral blood of 18-month old Asxl1, Asxl1 and Asxl1 mice (n>5 mice in each experimental group). The relative distribution of B cells (B220), T cells (CD3), neutrophilic granulocytes (Mac1-Gr1) and other monocytic/granulocytic cells (Mac1) was analyzed. (C) Representative FACS profiles of the data from (A-B) with the gating strategy indicated. The FACS profile represents an Asxl1 control mouse. See the Online Supplementary Figure S1 for representative FACS plots of Asxl1 and Asxl1 animals. (D) FACS-based analysis of bone marrow hematopoietic stem cell (HSC) and multipotent progenitor (MPP) subsets in 6-month old Asxl1, Asxl1 and Asxl1 mice (n>5 mice in each experimental group). (E) Representative FACS profiles of the data from (D) with the gating strategy indicated. The FACS profile represents an Asxl1 control mouse. See the Online Supplementary Figure S1 for representative FACS plots of Asxl1 and Asxl1 animals. (F) Lineage distribution of mature bone marrow (BM) subsets in 6-month old Asxl1, Asxl1 and Asxl1 mice (n>5 mice in each experimental group). The relative distribution of B cells (B220), T cells (CD3), neutrophilic granulocytes (Mac1-Gr1) and other monocytic/granulocytic cells (Mac1) was analyzed. (G) Spleen weights of 18-month old Asxl1, Asxl1 and Asxl1 mice (n>5 mice in each experimental group). (H) Competitive BM transplantation of 1:1 mixtures of CD45.2 donor BM cells from 6-month old Asxl1, Asxl1or Asxl1 mice and CD45.1 competitor cells into lethally irradiated CD45.1 recipient mice. The ratio of CD45.2 to CD45.1 in peripheral blood is depicted (n>7 mice in each experimental group). Collectively, these findings agree with the observed cooccurrence of ASXL1 and CEBPA mutations in human AML and suggest that these lesions co-operate in the development of AML.

The ASXL1G643W variant affects the expression of leukemia relevant pathways

In order to understand the molecular underpinnings of the functional co-operation between ASXL1 and CEBPA mutations, we isolated leukemic blasts from Asxl1; CebpaD and Asxl1; CebpaD donor-derived AML and subjected them to gene expression profiling. This analysis revealed that in the context of CEBPA mutant AML, the Asxl1 genotype was associated with the upregulation of 177 genes and the down-regulation of 279 genes (adjusted P-value <0.05; Figure 4A, Online Supplementary Table S1, Online Supplementary Figure S3A). Interestingly, 18 of 30 of the most upregulated genes encoded pseudogenes, perhaps reflecting a role for ASXL1 in mediating their repression. Gene set enrichment analysis (GSEA) identified gene ontology processes associated with mitosis (chromosome condensation, metaphase/ anaphase transition of mitotic cell cycle and others; Figure 4B and Online Supplementary Table S2) to be up-regulated in the Asxl1 genotype likely reflecting the recent finding of ASXL1 being involved in maintaining sister chromatid separation.[27] Furthermore, GSEA identified gene ontology terms associated with ribosome biosynthesis (ribosome biogenesis), DNA damage (regulation of DNA damage response, signal transduction by p53 class mediator) and immune activation (antigen processing a presentation of exogenous antigen) to be downregulated in the Asxl1 genotype (Figure 4C). These findings do not only point to changes in the overall metabolic status of ASXL1 mutant cells, but may also indicate a reduced activation of the immune system as well as a decreased response to genomic insults.
Figure 4.

The ASXL1 (A). Volcano plot depicting gene expression changes in Asxl1; Cebpa vs. Asxl1; CebpaΔ leukemic blasts. (B-C). GSEA plots for selected gene sets which are either upregulated (B) or downregulated (C) in Asxl1; Cebpa versus Asxl1; CebpaΔ leukemic blasts. (D) Boxplots showing the CHIP-signal levels of selected marks surrounding the TSS (+/- 500 bp) for genes that are either up- or downregulated in Asxl1; Cebpa Asxl1; CebpaΔ leukemic blasts (Online Supplementary Table S1). The data is derived from a previous CEBPA mutant (Cebpa) dataset.[22] Gene expression levels as determined by RNA sequencing are also indicated. Up: upregulated genes in Asxl1 Asxl1 leukemic blasts (false discovery rate [FDR] 0.05, log2FC>0, baseMean>10, n=105), down: downregulated genes in Asxl1 Asxl1; (FDR 0.05, log2FC <0, baseMean >10, n=201), neutral: neutral genes (-0.01 < log2FC<0.01, baseMean>10, n=165) in Asxl1 Asxl1. P-values levels *P<0.05s, **P=0.01, ***P=0.001 are indicated

The ASXL1 (A) Schematic outline of the experiment. Briefly, bone marrow (BM) was harvested from mice with different genotypes and then transplanted into cohorts of irradiated recipients. Three weeks after the transplant, mice were injected with pIpC and subsequently observed for signs of disease development over a period of 60 weeks. (B) Kaplan-Meyer survival curve of transplanted mice. The arrow indicates the time point for injection with pIpC. We used a Log-rank (Mantel-Cox) test to determine statistical significance (n>7 mice in each experimental group). (C) Giemsa staining of Asxl1; CebpaΔ or Asxl1; CebpaΔ leukemic blasts isolated from the BM of moribund mice. A normal aged-matched mouse was included as a control. (D) Fluorescence-activated cell sorting (FACS) analysis of Asxl1; CebpaΔ or Asxl1; CebpaΔ leukemic blast isolated from transplanted mice. The plot shows the amount of donor-derived c-Kit positive cells. A normal aged-matched mouse was included as a control. (E) Quantification of the data from (D) (n=3 mice in each experimental group). Focusing on individual genes, we noticed a marked upregulation of Traip in the Asxl1 genotype (log2 fold change =6.7; Figure 4A, Online Supplementary Figure S3A). TRAIP is an E3 ubiquitin ligase which has been shown to be involved in the regulation of the NF-κB pathway, cell proliferation, regulation of the spindle assembly checkpoint, DNA replication fork recovery and more recently as a master regulator of DNA crosslink repair.[28-32] Finally, in order to understand the epigenetic characteristics of the genes deregulated in the Asxl1 genotype, we overlaid published ChIP-seq data from CebpaD AML[22] with promoter coordinates from deregulated and constant genes, identified in our gene expression analysis described above. In these ASXL1 proficient cells, the promoters of genes that were upregulated following mutation of Asxl1 (in the context of CEBPA mutant AML), were characterized by low levels of “activating” histone modifications H3K4me3 and H3K27ac as well as by high level of the repressive histone mark H3K27me3 (Figure 4D, Online Supplementary Figure S3BC). This combination of epigenetic marks is consistent with the low expression of these genes and previous work has demonstrated that loss of ASXL1 activity is associated with upregulation of PRC2-repressed genes.[5,9] Genes that are down-regulated in the Asxl1 genotype are also weakly expressed and display a similar epigenetic signature. The downregulation of these genes could potentially be due to a global decrease in H3K4me3 which has previously been found to be associated with the expression of a C-terminally truncated ASXL1 variant.[17] The ASXL1 (A). Volcano plot depicting gene expression changes in Asxl1; Cebpa vs. Asxl1; CebpaΔ leukemic blasts. (B-C). GSEA plots for selected gene sets which are either upregulated (B) or downregulated (C) in Asxl1; Cebpa versus Asxl1; CebpaΔ leukemic blasts. (D) Boxplots showing the CHIP-signal levels of selected marks surrounding the TSS (+/- 500 bp) for genes that are either up- or downregulated in Asxl1; Cebpa Asxl1; CebpaΔ leukemic blasts (Online Supplementary Table S1). The data is derived from a previous CEBPA mutant (Cebpa) dataset.[22] Gene expression levels as determined by RNA sequencing are also indicated. Up: upregulated genes in Asxl1 Asxl1 leukemic blasts (false discovery rate [FDR] 0.05, log2FC>0, baseMean>10, n=105), down: downregulated genes in Asxl1 Asxl1; (FDR 0.05, log2FC <0, baseMean >10, n=201), neutral: neutral genes (-0.01 < log2FC<0.01, baseMean>10, n=165) in Asxl1 Asxl1. P-values levels *P<0.05s, **P=0.01, ***P=0.001 are indicated Collectively, these data suggest that expression of the ASXL1G643W variant affects the expression of a number of leukemic relevant genes and pathways, consistent with the role of ASXL1 as a broad epigenetic modifier.

The ASXL1G643W variant is associated with increased resistance to chemotherapy in the context of CEBPA mutant acute myeloid leukemia

Failure to respond to chemotherapy is a major determinant of overall survival in AML and genomic stratification has associated ASXL1 mutations with adverse outcome in human AML.[33-35] This raises the possibility that AML-associated mutations in ASXL1 specifically impact on the cellular response to chemotherapy. In order to test this possibility, we used our well-defined experimental set-up to assess the impact of the Asxl1 genotype on the response to induction chemotherapy in the context of CEBPA mutant AML. To this end, we transplanted Asxl1D and Asxl1; CebpaD secondary AML (a total of seven clones) into recipient mice and subjected them to low-dose induction chemotherapy 3 weeks post transplantation (Figure 5A, Online Supplementary Figure S4). Compared to the ASXL1WT cohort, ASXL1G643W mice displayed reduced response to chemotherapy as measured by the decrease of leukemic cells in the peripheral blood 3 days post-treatment cessation (Figure 5B). This translated into an increased latency for the treated ASXL1WT cohort whereas chemotherapy had no impact on survival of the ASXL1G643W mutant cohort (Figure 5C). The ASXL1 (A) Schematic outline of the chemotherapy treatment set-up. Briefly, sublethally irradiated recipient mice were transplanted with bone marrow (BM) cells harvested from leukemic mice. Twenty-one days after transplant, recipient mice were treated with standard induction chemotherapy for 5 days. Three days later, blood was harvested for analysis and leukemic mice were subsequently monitored for disease development. (B) Analysis of peripheral leukemic numbers in mice after chemotherapy/vehicle treatment. Each data point represents the fold change difference between the vehicle-treated and chemotherapy-treated groups for a given clone (n=12 mice per clone). The two different genotypes, Asxl1; CebpaΔ and Asxl1G643W/G643W CebpaΔ, were represented by four and three clones, respectively. The responses of individual clones are indicated in the Online Supplementary Figure S4. A one-tailed Mann-Whitney U test was used to assess statistical significance. (C) Kaplan-Meyer survival curves of leukemic mice after chemotherapy/vehicle treatment. The data represent the aggregate of two different leukemic clones (n=6 recipients of each clone, clones 1-2 and 5-6) for each of the two different genotypes (Asxl1; CebpaΔ and Asxl1G643W/G643W; CebpaΔ). Taken together, these findings demonstrate that mutation of ASXL1 renders CEBPA mutated AML largely resistant to chemotherapy.

Discussion

Myeloid diseases such as AML are developing from premalignant clones which mostly harbor lesions in epigenetic regulators.[3,4] One of these regulators is ASXL1 which is consequently frequently mutated in both MDS and AML as well as in premalignant settings such as CHIP. This mutational profile raises the question whether ASXL1 plays a functional role in full-blown AML or whether it merely provides a fertile ground in which AML can evolve. There has been considerable confusion concerning the molecular mechanisms by which ASXL1 mutations sustain AML development or hematological deficiencies, specifically whether ASXL1 mutations act as dominant negatives. Some of this confusion is related to the inherent difficulties in detecting ASXL1 by western blotting (issues which we also experienced) thus making it nearly impossible to determine whether the mutated protein is present or not. However, overexpression of ASXL1 variants was associated with hematological malignancies raising the possibility that the mutated protein could act as a dominant negative.[6,14,15] Our analysis of heterozygous and homozygous Asxl1 mice in the context of normal hematopoiesis suggests that the Asxl1 variant has a dose-dependent impact in this context. Given that complete loss of Asxl1 leads to more pronounced hematopoietic phenotypes, the most restrained explanation from the in vivo work is that the ASXL1G643W variant is hypomorphic or, alternatively, that it exerts a combination of dominant negative and hypomorphic effects.[10-12] Expression of the Asxl1 variant in the context of CEBPA mutant AML significantly accelerated AML development and was associated with marked resistance to induction chemotherapy. These findings are not only in perfect alignment with the co-occurrence of CEBPA and ASXL1 lesions in human AML, but also with the overall poor prognosis of ASXL1 mutated human AML. Hence the resistance towards chemotherapy is likely underlying the poor prognosis of AXL1 mutated AML.[33-35] It would be interesting to test if other mouse models can recapitulate this behavior beyond CEBPA mutant AML. Interestingly, gene expression analysis demonstrated that Asxl1; CebpaD exhibited downregulation of signatures associated with immune activation perhaps reflecting that the Asxl1 lesion renders the developing leukemia less visible to the immune system. We also observed a reduction in activation of the DNA damage pathways in ASXL1 mutated cells which could potentially reflect efficient clearing of ongoing genomic insults. Here our finding of the marked upregulation of Traip is of particular interest as the corresponding protein has recently been identified as a master regulator of DNA crosslink repair.[32] Thus, our data strongly suggest that Asxl1 lesions have functional consequences in the context of CEBPA mutant AML and that they therefore provide more than a fertile ground for AML development. To summarize, we have generated a novel ASXL1G643W mouse model mimicking the most commonly observed ASXL1 lesion mutation in human MDS and AML patients. Consistent with the co-occurrence of CEBPA and ASXL1 lesions in AML, the ASXL1G643W variant accelerates AML development in the context of CEBPA mutant AML. Finally, the observed resistance towards chemotherapy conferred by the ASXL1G643W variant provides us with an experimental handle for future experiments aimed at its reversal.
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Review 1.  The role of ASXL1 in hematopoiesis and myeloid malignancies.

Authors:  Shuhei Asada; Takeshi Fujino; Susumu Goyama; Toshio Kitamura
Journal:  Cell Mol Life Sci       Date:  2019-03-30       Impact factor: 9.261

2.  Dominant-negative mutations of CEBPA, encoding CCAAT/enhancer binding protein-alpha (C/EBPalpha), in acute myeloid leukemia.

Authors:  T Pabst; B U Mueller; P Zhang; H S Radomska; S Narravula; S Schnittger; G Behre; W Hiddemann; D G Tenen
Journal:  Nat Genet       Date:  2001-03       Impact factor: 38.330

3.  Acquired mutations in ASXL1 in acute myeloid leukemia: prevalence and prognostic value.

Authors:  Marta Pratcorona; Saman Abbas; Mathijs A Sanders; Jasper E Koenders; François G Kavelaars; Claudia A J Erpelinck-Verschueren; Annelieke Zeilemakers; Bob Löwenberg; Peter J M Valk
Journal:  Haematologica       Date:  2011-11-04       Impact factor: 9.941

Review 4.  The ASXL-BAP1 axis: new factors in myelopoiesis, cancer and epigenetics.

Authors:  O Abdel-Wahab; A Dey
Journal:  Leukemia       Date:  2012-10-09       Impact factor: 11.528

Review 5.  The role of the TRAF-interacting protein in proliferation and differentiation.

Authors:  Christophe Chapard; Daniel Hohl; Marcel Huber
Journal:  Exp Dermatol       Date:  2012-05       Impact factor: 3.960

6.  Clinical effect of point mutations in myelodysplastic syndromes.

Authors:  Rafael Bejar; Kristen Stevenson; Omar Abdel-Wahab; Naomi Galili; Björn Nilsson; Guillermo Garcia-Manero; Hagop Kantarjian; Azra Raza; Ross L Levine; Donna Neuberg; Benjamin L Ebert
Journal:  N Engl J Med       Date:  2011-06-30       Impact factor: 91.245

7.  Loss of the tumor suppressor BAP1 causes myeloid transformation.

Authors:  Anwesha Dey; Dhaya Seshasayee; Rajkumar Noubade; Dorothy M French; Jinfeng Liu; Mira S Chaurushiya; Donald S Kirkpatrick; Victoria C Pham; Jennie R Lill; Corey E Bakalarski; Jiansheng Wu; Lilian Phu; Paula Katavolos; Lindsay M LaFave; Omar Abdel-Wahab; Zora Modrusan; Somasekar Seshagiri; Ken Dong; Zhonghua Lin; Mercedesz Balazs; Rowena Suriben; Kim Newton; Sarah Hymowitz; Guillermo Garcia-Manero; Flavius Martin; Ross L Levine; Vishva M Dixit
Journal:  Science       Date:  2012-08-09       Impact factor: 47.728

8.  Subtype-specific patterns of molecular mutations in acute myeloid leukemia.

Authors:  D Rose; T Haferlach; S Schnittger; K Perglerová; W Kern; C Haferlach
Journal:  Leukemia       Date:  2016-06-10       Impact factor: 11.528

9.  Modeling of C/EBPalpha mutant acute myeloid leukemia reveals a common expression signature of committed myeloid leukemia-initiating cells.

Authors:  Peggy Kirstetter; Mikkel B Schuster; Oksana Bereshchenko; Susan Moore; Heidi Dvinge; Elke Kurz; Kim Theilgaard-Mönch; Robert Månsson; Thomas A Pedersen; Thomas Pabst; Evelin Schrock; Bo T Porse; Sten Eirik W Jacobsen; Paul Bertone; Daniel G Tenen; Claus Nerlov
Journal:  Cancer Cell       Date:  2008-04       Impact factor: 31.743

10.  Deletion of Asxl1 results in myelodysplasia and severe developmental defects in vivo.

Authors:  Omar Abdel-Wahab; Jie Gao; Mazhar Adli; Anwesha Dey; Thomas Trimarchi; Young Rock Chung; Cem Kuscu; Todd Hricik; Delphine Ndiaye-Lobry; Lindsay M Lafave; Richard Koche; Alan H Shih; Olga A Guryanova; Eunhee Kim; Sheng Li; Suveg Pandey; Joseph Y Shin; Leon Telis; Jinfeng Liu; Parva K Bhatt; Sebastien Monette; Xinyang Zhao; Christopher E Mason; Christopher Y Park; Bradley E Bernstein; Iannis Aifantis; Ross L Levine
Journal:  J Exp Med       Date:  2013-11-11       Impact factor: 14.307

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  4 in total

Review 1.  The Potential Role of N6-Methyladenosine (m6A) Demethylase Fat Mass and Obesity-Associated Gene (FTO) in Human Cancers.

Authors:  Jin-Yan Wang; Li-Juan Chen; Ping Qiang
Journal:  Onco Targets Ther       Date:  2020-12-15       Impact factor: 4.147

2.  Evaluating the frequency, prognosis and survival of RUNX1 and ASXL1 mutations in patients with acute myeloid leukaemia in northeastern Iran.

Authors:  Mohammad Parsa-Kondelaji; Hossein Ayatollahi; Mehrdad Rostami; Maryam Sheikhi; Faezeh Barzegar; Monnavar Afzalaghaee; Elmira Moradi; Mohammad Hadi Sadeghian; Amir Abbas Momtazi-Borojeni
Journal:  J Cell Mol Med       Date:  2022-06-12       Impact factor: 5.295

Review 3.  Murine Models of Acute Myeloid Leukemia.

Authors:  Kristen J Kurtz; Shannon E Conneely; Madeleine O'Keefe; Katharina Wohlan; Rachel E Rau
Journal:  Front Oncol       Date:  2022-06-08       Impact factor: 5.738

Review 4.  Mouse Models of Frequently Mutated Genes in Acute Myeloid Leukemia.

Authors:  Sagarajit Mohanty; Michael Heuser
Journal:  Cancers (Basel)       Date:  2021-12-08       Impact factor: 6.639

  4 in total

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