Clone-specific epigenetic regulatory mechanisms in ASXL1-mutant chronic myelomonocytic leukemia

M Moritz Binder (Division of Hematology, Department of Internal Medicine, Mayo Clinic) T Terra Lasho (4Mayo Clinic, Rochester, United States) J Jenna Fernandez (Division of Hematology, Department of Internal Medicine, Mayo Clinic) W Wazim Mohammed Ismail (2Mayo Clinic, Experimental Pathology and Laboratory Medicine, Rochester, United States) A Amelia Mazzone (2Mayo Clinic, Experimental Pathology and Laboratory Medicine, Rochester, United States) C Christy Finke (1Mayo Clinic, Division of Hematology, Department of Internal Medicine, Rochester, United States) P Pankaj Pradeep (1Mayo Clinic, Division of Hematology, Department of Internal Medicine, Rochester, United States) A Abhishek Mangaonkar (1Mayo Clinic, Rochester, United States) N Nickolas Steinauer (1Mayo Clinic, Division of Hematology, Department of Internal Medicine, Rochester, United States) H Huihuang Yan (3Mayo Clinic, Division of Computational Biology, Department of Quantitative Health Sciences, Rochester, United States) L Liguo Wang (Groningen Biomolecular Sciences and Biotechnology Institute) A Alexandre Gaspar-Maia (2Mayo Clinic, Experimental Pathology and Laboratory Medicine, Rochester, United States) M Mrinal Patnaik (5Mayo Clinic, Rochester, United States)

Abstract

Abstract Introduction: ASXL1-mutant (mt) Chronic Myelomonocytic Leukemia (CMML) is an aggressive myeloid neoplasm characterized by increased proliferation, resistance to epigenetic therapies, and poor survival. Epigenetic remodeling and up-regulation of leukemogenic driver genes are hallmarks of ASXL1mt CMML. Truncating mutations in ASXL1 activate enhancers that drive the expression of key leukemogenic driver genes such as HOXA9 and its co-factor MEIS1. Here, we investigate the chromatin accessibility of these leukemogenic enhancers by ASXL1 genotype at single-cell resolution (GoT-ChA-seq). Methods: After IRB approval, we performed bulk RNA-seq and ChIP-seq (H3K4me1, H3K4me3, H3K27ac, H3K27me3, H2AK119ub, H2BK20ac) on bone marrow (BM) mononuclear cells from 40 patients with CMML (19 ASXL1mt, 21 -wildtype/wt). After quality control, differential analyses of gene expression and histone modification occupancy between ASXL1mt and wt patients were conducted. A consensus peak calling framework was used to define genomic regions with ASXL1mt-specific histone modifications. Canonical enhancers were defined as genomic regions with a co-occupancy of H3K4me1 and H3K27ac. We then added regions marked by H2BK20ac to capture regulatory regions associated with p300 (Narita et al. Nat Genet 2023). We used an in silico prediction strategy to associate regulatory regions marked by strong histone modification occupancy with highly up-regulated leukemogenic driver genes (HOXA6-10, MEIS1). The ReMap database (Hammal et al. Nucleic Acids Res 2022) was queried for transcription factor binding in the genomic regions of interest. We then performed GoT-ChA-seq (Izzo et al. Nature 2024) to investigate chromatin accessibility for ASXL1mt (n=3) and wildtype BM single cells from CMML patients. In vitro colony forming assays were conducted on primary CMML BM cells (11- ASXL1mt and 9 wt CMML), assessing the efficacy of EP31670, a novel, oral, dual inhibitor of p300/BRD4. Results: This study included 40 patients with CMML, 19 ASXL1mt and 21 wt. The variant allele frequencies for ASXL1 were compatible with heterozygosity (median 0.41) and TET2 mutations were balanced between the two groups. We identified 149 candidate regulatory regions correlating with the expression of up-regulated target genes of interest (HOXA6-10, MEIS1) by bulk ChIP- and RNA-seq. Publicly available ChIP-seq data from myeloid cell lines demonstrated enrichment of p300 (in THP-1 cells, enrichment effect size +2.58, p=0.002) and BRD4 (in K-562 cells, enrichment effect size +1.58, p=0.045) in these candidate regulatory regions. Next, we interrogated the chromatin accessibility of ASXL1mt (n=13620) and ASXL1wt (n=24269) single cells from 3 CMML patients using GoT-ChA-seq. Differential accessibility analysis revealed 144 genomic regions, all of which were preferentially accessible in ASXL1mt cells compared to ASXL1wt cells (p<0.05 for all regions). Four of these preferentially accessible genomic regions (p<0.001 for all regions) overlapped with the previously identified candidate regulatory regions for MEIS1. The H3K27ac and H2BK20ac occupancy levels in these regions was strongly associated with the expression of MEIS1 (median Pearson r=0.73, p=1.16x10-7). These candidate regulatory regions were annotated in ENCODE as distal and proximal enhancers. Targeting this biology with the dual p300/BRD4 inhibitor EP31670 in progenitor colony forming assays led to a preferential therapeutic effect in ASXL1mt BM samples (median IC50 = 25nM) compared to in ASXL1wt samples (median IC50 = 74nM, p=0.03). Treatment with EP31670 was also associated with increased differentiation (increased blast forming units-erythroid; BFU-E) and organization of colonies in ASXL1mt vs wt CMML. Conclusions: ASXL1mt CMML is characterized by the up-regulation of several leukemogenic driver genes including HOXA9 and its co-factor MEIS1, secondary to the activation of genotype-specific enhancers. The preferential accessibility of these enhancers can be defined between ASXL1mt and ASXL1wt cells within patients. The enhancers of interest interact with p300 and BRD4 in myeloid cell lines and targeting them with the novel dual p300/BRD4 inhibitor, EP31670, induces therapeutic responses at low nanomolar drug concentrations in vitro, preferentially in ASXL1-mutant cells. These data solidify the biological rationale for targeting p300/BRD4 in ASXL1mt chronic myeloid neoplasms for therapeutic benefit (NCT05488548).

Article Details

Journal Blood
Volume / Issue Vol. 146, Issue Supplement 1
Published November 03, 2025
Pages 234-234
ISSN 0006-4971
Publisher Elsevier BV

Journal Info

Blood

Elsevier BV

ISSN: 0006-4971 Health Sciences

Authors (13)

M

Moritz Binder

Division of Hematology, Department of Internal Medicine, Mayo Clinic

T

Terra Lasho

4Mayo Clinic, Rochester, United States

J

Jenna Fernandez

Division of Hematology, Department of Internal Medicine, Mayo Clinic

W

Wazim Mohammed Ismail

2Mayo Clinic, Experimental Pathology and Laboratory Medicine, Rochester, United States

A

Amelia Mazzone

2Mayo Clinic, Experimental Pathology and Laboratory Medicine, Rochester, United States

C

Christy Finke

1Mayo Clinic, Division of Hematology, Department of Internal Medicine, Rochester, United States

P

Pankaj Pradeep

1Mayo Clinic, Division of Hematology, Department of Internal Medicine, Rochester, United States

A

Abhishek Mangaonkar

1Mayo Clinic, Rochester, United States

N

Nickolas Steinauer

1Mayo Clinic, Division of Hematology, Department of Internal Medicine, Rochester, United States

H

Huihuang Yan

3Mayo Clinic, Division of Computational Biology, Department of Quantitative Health Sciences, Rochester, United States

L

Liguo Wang

Groningen Biomolecular Sciences and Biotechnology Institute

A

Alexandre Gaspar-Maia

2Mayo Clinic, Experimental Pathology and Laboratory Medicine, Rochester, United States

M

Mrinal Patnaik

5Mayo Clinic, Rochester, United States