Wang, Zhiquan

Introduction: Recent studies have shown that clonal B cells derived from patients with chronic lymphocytic leukemia (CLL) have altered histone modification landscapes compared to B cells from healthy controls. We have also shown that the BCR signaling pathway impacts the chromatin landscapes of CLL B cells, implicating the interaction between oncogenic signaling and epigenetic machinery in CLL (Wang et al., Blood Cancer J. 2022; Wang et al., Cancer Res (2023) 83 (7_Supplement): 4725). However, the majority of the chromatin studies in CLL concentrate on the active enhancers associated with oncogene expression; there is a very limited understanding of lost enhancers in CLL: 1) What is the function of lost enhancers; 2) How are these lost enhancers maintained in CLL; 3) Can these lost enhancers be detected at the precursor state of CLL, monoclonal B-cell lymphocytosis (MBL); 4) if this aberrant chromatin signature affected by CLL treatment. Methods: We systematically mapped the genome-wide histone modification profile (histone marks: H3K4me1, H3K4me3, H3K9me3, H3K27ac, H3K27me3, and H3K36me3) in 22 previously untreated CLL samples, 6 high count MBL samples, and peripheral blood B cells from 6 healthy donors by Cleavage Under Targets and Tagmentation (CUT&Tag). We also analyzed B cells from 8 patients before and after one year of continuous Bruton tyrosine kinase inhibitor (BTKi) ibrutinib treatment. The genomic regions with a decrease in both H3K4me1 and H3K27ac enrichment (analyzed by Deseq2, fold change > 1, p < 0.01) were named lost enhancers. We used CRISPR-mediated epigenetic editing to study the role of gained H3K9me3 on EBF1 gene expression. Results: Compared to normal B cells, the lost enhancers (genomic regions defined by decreased enrichment of H3K4me1 and H3K27ac) in CLL B cells showed increased heterochromatin marks (H3K9me3 and H3K27me3) enrichment. Importantly, these enhancers are associated with genes downregulated in CLL and involved in the immune response, indicating the source of epigenetic impact on impaired immunity in CLL. We further found that this aberrant chromatin structure also exits in clonal B cells from the precursor stage of MBL, implicating the importance of epigenetic silencing in CLL evolution. In particular, we found the lost enhancer signature across the gene locus EBF1, an important transcription factor that defines B cell lineage and regulates normal B cell activation. Using CRISPR-mediated epigenetic editing, we demonstrated that the gain of H3K9me3 is sufficient to silence the EBF1 enhancer and its gene expression. Finally, we found that while BTKi ibrutinib treatment partially inhibits the CLL-gained enhancers in some patients, it failed to restore the lost enhancers in CLL B cells. Conclusion: In summary, we have elucidated an epigenetic silencing mechanism that may contribute to the loss of physiological function of normal B cells, which places the clonal B cells at a selection advantage during CLL evolution and increases the risk of serious infections in CLL and MBL ( Fig 1).

Presence of deletion17p (del17p) in frontline (1L) and relapsed/refractory (R/R) CLL has been associated with shorter time to treatment initiation, early relapse after therapy and inferior overall survival (OS) (Mato et.al., Haemotologica 2022). However, there exists notable clinical heterogeneity in terms of outcome within this group (Tam et.al., Blood 2009, Stephens et.al; AJH 2015). Previous reports in 1L and R/R CLL have identified percentage of del17p nuclei by fluorescence in situ hybridization (FISH), having TP53 mutations on the second allele, copy number alterations and complex karyotype (CK) as additional risk factors within the del17p population (Yu et al., CCR 2017; Baliakas et al., Blood 2019). Here we profile a cohort of wait and watch (W&W, n=14), 1L treated (n=36) and R/R CLL (n=3) patients by whole genome sequencing (WGS) and RNA sequencing (RNAseq) to gain insights into genomic factors and gene expression pathways contributing to the high-risk nature of del17p across the spectrum of CLL patients. Using the Mayo Clinic CLL Database, we identified 53 patients with del17p (identified by FISH testing in routine clinical practice at diagnosis) who had stored peripheral blood mononuclear cells (PBMCs) available. RNA and DNA from matched peripheral blood (tumor) and DNA from CD19- (germline) samples at diagnosis (n=50) and relapse (n=3) was extracted using Qiagen RNeasy (RNA) and Purene (DNA) kits and subjected to RNAseq and WGS respectively. Additional FISH assays (del11q, trisomy 12, del13q) and CK by chromosomal banding analysis (CBA) were performed. Baseline clinical characteristics, time to first treatment, types of treatment, and survival were abstracted from the CLL Database. The Mayo Clinic IRB approved this study. Copy number analysis identified deletions in 3p, 4p, 8p, 9p, 9q and gains in 2p, 8q, 15q and 17q chromosomal lesions occurring in patients. We explored the association of clinical and genetic factors, and genomic instability signatures with survival to identify high-risk features in del17p patients. Both total number of deletions by WGS and number of chromosomal aberrations by CBA as a continuous variable were significantly associated with unfavorable OS in the entire cohort (n=53) in a univariate analysis (Hazard ratio, HR= 2.29, p= 0.00054 and HR= 2.33, p=0.0054 respectively). However, there was no significant association of number of gained genes by WGS or aneuploidy scores with survival (HR=0.74, p=0.37). In patients with CK data (n=41), deletion burden, but not gains, were highly correlated to chromosomal aberrations by CBA. Using cutpointr package for identifying deletion threshold corresponding to CK≥ 3, we defined patients with deletion burden ≥ 514 as enhanced-high risk (EHR; median OS = 4.83 years) compared to the group with high-risk (HR; median OS=9.94 years) (p=0.025). There was no significant difference in number of deleted genes between WW and treated patients. The EHR group is enriched in patients with high clonal cell fraction of del17p by FISH, unmutated IGHV and CK≥ 3. The EHR group remains significant in a multi-variable analysis with IGHV-mutation status, ZAP70, and age (HR: 5.16, 95% CI: 1.04 - 25.6, p=0.04). Mutational analysis identified 35 known CLL driver mutations with TP53 (86%), ATM (15%), NOTCH1(13%), MGA (13%), CHD2 and MED12(11%) as the top mutated genes. Total number of driver genes mutated was not significantly different between EHR and HR subgroups, but the EHR subset was significantly enriched with mutations in NOTCH1 (21%), and MGA (21%) as compared to no mutations in the HR group in these genes. Deleted genes (≥ 514) was prognostic in bi-allelic TP53 aberration patients as well (p=0.021) Differential expression gene-set enrichment analysis indicated a significant enrichment of DNA repair, cellular response to DNA damage and downregulation of inflammatory responses in the EHR group. CK is a known prognostic marker which includes both chromosomal losses and gains. In this small cohort of del17p we were able to show the prognostic value of deletions only, but not gains, as captured by WGS. Using genome wide sequencing, we identify increasing genomic deletions as a feature of enhanced-high risk del17p. While deletion burden cut-offs identified here are specific to our research method and require further validation in additional independent cohorts, EHR subgroup remained significant after adjusting for other known prognostic variables .

A substantial subset of follicular lymphoma (FL) patients has an early relapse with a poor outcome. We showed that this unfavorable group displays increased expression of IRF4, dysregulated immune signaling and an immunosuppressive microenvironment. At the molecular level, IRF4 controls expression of antigen presentation and immune molecules (e.g. HLA-DR, CD40, PDL1). Furthermore, silencing of IRF4 triggers anti-lymphoma immunity ( Mondello P et al, Blood 2022;140 Suppl 1:168-169). However, little is known on the molecular mechanisms whereby IRF4 controls the crosstalk between B and T cells. To address this question, first we performed RNA-seq, ATAC-seq and CUT&TAG of active (H3K27Ac, H3K4me3) and repressive (H3K27me3, H3K4me1) histone marks in TMD8 and HBL1 (lymphoma cells with high IRF4 expression) transfected with two pairs of siIRF4 or siCtr for 72 hours. Gene expression revealed a broad change in transcription, with 432 upregulated genes and 136 downregulated genes in siIRF4 compared to siCtr. Notably, the genes with increased expression following IRF4 silencing coded for antigen presentation, immune molecules and cytokines (e.g. HLA-DR, CD86, IL6, IL10). Accordingly, we observed significant enrichment of antigen presentation, interferon and immune response signatures ( Fig 1A). Integrating RNA-seq with chromatin accessibility showed a significant shift towards transcriptional upregulation at genes nearest to upregulated ATAC peaks, with significant enrichment at enhancers (n=771). Conversely, transcriptional suppression was enriched at enhancers (n=2,458) of downregulated peaks. k-means analyses of all union peaks, generated by merging ATAC with CUT&TAG peaks, revealed a significant gain of H3K4me3, with concordant loss of H3K4me1 at enhancers with upregulated gene expression. In contrast, H3K4me3 was severely decreased at suppressed peaks. TF motif analysis revealed an enrichment for PU.1 and E2A at IRF4-bound regions, suggesting their cooperation in regulating immune signaling. Since antigen presentation and other immune molecules are critical components of the immune synapse, we explored the role of IRF4 on the interaction between germinal center (GC) B and T cells by crossing irf4 fl/fl mice with conditional deletion of irf4 ( Klein et al, Nat Immunol 2006) and Cγ 1cre mice ( Cγ 1cre; irf4 fl/fl) to induce recombination in GC B cells. After 10 days of immunization (GC reaction peak), Cγ 1cre; irf4 fl/fl and Cγ 1cre; irf4 fl/+ GC B cells showed significant increase of HLA-DR and CD40 expression compared to WT. As expected, Cγ 1cre; irf4 fl/fl mice displayed a significantly skewed light-zone:dark-zone ratio in favor of increased dark-zone, which are the cells that most reflect the action of BCL6, with concordant suppression of plasma cells. Additionally, we observed a significant increase of CD4 + T cells after partial or complete deletion of irf4, with upregulation of T FH cells and decrease of T reg cells ( Fig 1B). Notably, mice with loss of irf4 showed a significant decrease in exhausted T FH cells. To test if this effect was dependent on MHC:TCR interaction, we cocultured CD4 + T cells with TMD8 cells transfected with two siIRF4 or siCtr in presence of blocking antibodies for MHC class I, MHC class II or both. Blocking one or the other MHC class I or II partially rescued the IRF4 effect on T reg and T FH cells respectively as well as reduced anti-lymphoma cytotoxicity. Further experiments blocking IRF4-dependent IL6 and IL10 identified these two cytokines as responsible for the additional effects on T cells. To confirm this as an antigen-dependent immune response we coculture sorted GC B cells from NP-OVA-immunized Cγ 1cre; irf4 fl/fl, Cγ 1cre; irf4 fl/+ and WT mice with CSFE-labeled OVA-specific OT-II CD4 + T cells at a ratio of 2:1 in an organoid system for 5 days. We observed induced antigen specific proliferation of CD4 + T cells in the presence of Cγ 1cre; irf4 fl/fl and Cγ 1cre; irf4 fl/+ GC B cellscompared to WT,as indicated by decrease in CSFE expression . We confirmed an increase of T FH cells and a decrease of T reg cells, supporting the conclusion that IRF4 directly controls the antigen-dependent immune response . In summary, IRF4 expression in GC and lymphoma B cells regulates immune signaling with PU.1 and E2A, thereby modulating antigen-dependent immune responses with potential implications for lymphomagenesis. Future studies investigating targeting of IRF4 in lymphoma are warranted.

Introduction: Despite the improved clinical outcomes with novel therapies in patients with chronic lymphocytic leukemia (CLL), Richter transformation (RT) of CLL remains a major clinical challenge. Our group showed a selective response (~40%) with the PD-1 blocking antibody pembrolizumab in patients with RT, particularly after prior exposure to ibrutinib (Ding et al, Blood, 2017). It has been established that PD-1 inhibits cytotoxic T-cell functions via the interaction with its ligands, PD-L1 and PD-L2. However, the role of PD-1 in tumor B-cells is understudied. Here we show the expression and functional implications of the PD-1 signaling axis in B-cell pathobiology. Methods: CLL-involved lymph node (LN) (n=26) and RT (with diffuse large B-cell lymphoma [DLBCL] histology) -involved LN (n=20) samples were tested for PD-1 expression by immunohistochemistry (IHC) (mouse clone NAT105, Abcam). Then, PD-1 expression was examined in 10 lymphoma cell lines and 1 CLL-like cell line (MEC-1) by both flow cytometry (FC) and Western blot (WB) analysis. PD-1 overexpression using pLEX-lentiviral packaging system (Thermo Scientific) was evaluated for its impact on in vitro cell cycle regulation and in vivo tumor growth. CRISPR/CAS9 mediated PD-1 knockdown evaluated on cell growth in MEC-1 and Mino cells. Role of PD-1 was further examined on the regulation of cell signaling pathways using human phospho kinase array kit (R&D) and WB analysis. Additionally, gene expression signatures were evaluated by RNA-seq using pLEX-lentiviral-PD-1 transfected DLBCL cell lines OCI-LY7 and OCI-LY19. Results: PD-1 expression was significantly increased in RT-LN compared to CLL-LN (mean ± SEM in RT vs. CLL, 30.6% ± 4.7% vs. 11.5% ± 2.8%, p<0.001) as determined by IHC. PD-1 expression was highest in patients with RT where the last prior CLL therapy was ibrutinib. To test the role of PD-1 in tumor B-cells, its expression was assessed in lymphoma and CLL cell lines. The expression of PD-1 was found to be variable by both FC and WB analysis, but at very low-levels in DLBCL cell lines OCI-LY7 and OCI-LY19. Constitutive lentiviral (pLEX-PD-1)-mediated overexpression of PD-1 in OCI-LY7 and OCI-LY19 cells led to increased cell growth (1.4 and 1.9 fold, respectively, compared to original lines after 4 days of culturing of equal number of cells), which was further confirmed by cell cycle analysis which showed an increase in S phase by 20.4% (p<0.05) and 24.5% (p<0.05) in OCI-LY7 and OCI-LY19 cells, respectively. When the luciferase+ PD-1 overexpressing OCI-LY7 cells (1X10 6) were injected intravenously into NSG mice, increased tumor growth (p<0.01) was observed by bioluminescence imaging after 22 days of follow-up. PD-1 knockdown in MEC-1 and Mino cells (high basal PD-1 expression) led to significant inhibition of cell growth (85% and 79.5%, respectively, p<0.05). Using phospho-kinase array, an overall decrease of phosphorylation was detected on multiple sites of p53 (S392, S15, S46) and Chk-2 (T68) in PD-1 overexpressing OCI-LY7 and OCI-LY19 cell lines. This finding was further confirmed by WB analyses. In addition, decreased total p53 and increased phosphorylation on both SHP-1 and SHP-2 were found in PD-1 overexpressing OCI-LY7 and OCI-LY19 cell lines. SHP-1 (TPI-1) and SHP-1+SHP-2 (TPI-1+TNO155) inhibitor treatment promoted OCI-LY19 cell death and led to recovery of phosphorylation on ATM, Chk-2 and p53 in these cells. RNA sequencing data in PD-1 overexpressing OCI-LY7 and OCI-LY19 cells revealed increased expression of genes that promote cell cycle progression and DNA replication. Conclusion: Our data showed robust PD-1 expression in patients with Richter transformation from CLL to DLBCL. PD-1 overexpression in DLBCL lymphoma cell lines enhanced cell proliferation in vitro and in vivo. Further investigation identified that PD-1 modified the phosphorylation/function of SHP phosphatases and thereby regulated p53 pathways ( Figure 1). These findings indicate that RT with DLBCL cells have the ability to “hijack” the PD-1 pathway which results in downregulation of p53 mediated DNA repair. This novel finding provides for new strategies to further evaluate the interaction of PD-1 signals with DNA repair pathways and suggest potential novel targets for RT.

Abstract Introduction: The introduction of Bruton’s tyrosine kinase (BTK) inhibitors (BTKi) to target B cell receptor (BCR) pathways in chronic lymphocytic leukemia (CLL) has significantly improved clinical responses. However, the effectiveness of BTKi is limited by the development of adaptive drug resistance. Therefore, there is an urgent need to identify critical biologic features that determine BTKi efficacy in order to develop more effective therapies. Epigenetic aberrations play an important role in tumor initiation, progression, and drug resistance. However, it is currently unknown if BCR signaling is also dependent on epigenetic mechanisms to support oncogenic gene expression and survival in CLL B cells. Methods and Results: To gain new insights into the role of epigenetic regulation of BTKi treatment in CLL B cells, we analyzed the genome wide chromatin accessibility (ATAC-seq) and histone modification (H3K4me1, H3K4me3, H3K27ac, H3K27me3) profiles (CUT&Tag) of leukemic cells from 4 CLL patients on ibrutinib treatment in a sequential fashion (i.e., baseline, on ibrutinib treatment, and at relapse). We also performed the same analysis in other cohorts at two stages of ibrutinib treatment (baseline and while on treatment, n=20). Our studies show that suppressing BCR signaling by BTKi treatment leads to an alteration of a pro-survival epigenetic signature (defined by histone modifications and chromatin accessibility landscapes) in CLL and that the genes regulated by these chromatin changes are enriched in pathways associated with malignant B cell survival (i.e., BCR signaling and apoptosis pathways). Importantly, disruption of this pro-survival epigenetic signature is necessary for effective BTKi treatment. We further find that the transcription factor (TF) Nuclear factor of activated T-cells, cytoplasmic 1 (NFATc1) couples the BCR signaling to control this pro-survival epigenetic program that supports CLL B cell survival. In specific, we show that nuclear depletion of NFATc1 is required for BTKi induced epigenetic alteration and effective BTKi treatment. Depletion of NFATc1 disrupts the pro-survival epigenetic signature and inhibits CLL B cells survival, which improves the efficacy of BTKi treatment in CLL. Conclusion: Here using leukemic cells from CLL patients with BTKi treatment, we demonstrate that epigenetic regulators are exploited by the oncogenic signaling pathway to support malignant cell survival. Specifically, NFATc1 is utilized by the BCR signaling pathway to control an epigenetic signature that supports CLL cell survival. This BCR regulated epigenetic machinery can be targeted to maintain and enhance BTKi treatment efficacy in CLL. Citation Format: Zhiquan Wang, Huihuang Yan, Justin C. Boysen, Esteban Braggio, Sameer A. Parikh, Neil E. Kay. The epigenetic determinants of BTKi efficacy in chronic lymphocytic leukemia. [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 4725.

Abstract Multiple studies including ours have shown that the interaction of chronic lymphocytic leukemia (CLL) B cells with the bone marrow (BM) microenvironment promotes cell survival and protects these cells from the cytotoxic effects of therapy. A detailed understanding of this interaction will help better understand CLL leukemic cell survival and drug resistance mechanisms. We performed RNA-seq in paired CLL B cells isolated from untreated blood and BM (n=6) and in untreated CLL B cells (n=4) cultured alone or co-cultured with bone marrow stromal cells (BMSCs) derived from either normal individuals (n=2) or CLL patients (n=2). We found upregulation of 232 and 917 genes in CLL B cells from BM and in co-cultured CLL B cells compared to the CLL B cells from the same patient’s blood and CLL B cells cultured alone respectively (p<0.05, fold change >1.5). However we found only 13 genes overlapped between BM CLL B cells and co-cultured CLL B cells. To explore the functional importance of these 13 genes, we analyzed the expression of these genes in CLL blood B cells from an additional 169 untreated patients by RNA-seq and found a positive relationship between 5 of these 13 genes (MKI67, PNP, C16orf54, MOB3A, CDK2AP2) with CLL patient’s clinical outcome including overall survival (OS), progression free survival (PFS), and time to first treatment (TTFT) [univariate Cox regressions analysis (UCRA) p<0.05]. Out of 5 genes, purine nucleotide phosphorylase (PNP) which is an enzyme in the purine salvage pathway, showed the significant association for patient’s OS, PFS, and TTFT using UCRA [hazard ratio (HR) {95% CI}: 2.8 {1.8-4.3}, 2.7 {1.9-3.8}, 2.9 {2.0-4.2}, respectively, p<.0001], suggesting purine metabolism plays an important role in BM induced CLL B cell survival. We also observed an increase in PNP protein levels in CLL B cells co-cultured with BMSCs or from BM using Western blot analysis. Untargeted metabolomic profiling (LC-MS+GC-MS) showed an increased level of purine salvage pathway metabolites adenosine, inosine, and hypoxanthine in co-cultured CLL B cells. Consistent with this altered nucleotide metabolism data, we also found increased pyrimidine pathway enzyme thymidylate synthase (TYMS) at RNA and protein levels in co-cultured CLL B cells and in BM CLL B cells. We further analyzed the RNA-seq data generated from the 169 CLL patients and it also showed a positive association of TYMS gene with their OS, PFS and TTFT using UCRA [HR (95% CI): 1.35 (1.0-1.8), 1.3 (1.0-1.6), 1.63 (1.3-2.1) respectively, p<0.05]. In conclusion, these results indicate that active purine/pyrimidine metabolism in CLL B cells may be augmented by the BM environment to support CLL B cell survival. Future studies to understand the exact mechanism of PNP and TYMS mediated CLL B cell survival for both untreated and treated CLL B cells will uncover unique approaches for therapy. Citation Format: Sutapa Sinha, Zhiquan Wang, Weiguo Han, Kari G. Rabe, Susan L. Slager, Chantal E. McCabe, Daniel R. O'Brien, Sameer A. Parikh, Esteban Braggio, Neil E. Kay. Role of purine and pyrimidine metabolism in CLL B cell survival and drug resistance mediated via interaction with bone marrow microenvironment [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 1252.

Abstract Introduction: CLL is the most common leukemia in the U.S. and characterized by constitutively activated BCR signaling pathway, which has a crucial role both in normal B cell development and B cell malignancies. The biological events controlled by BCR signaling in CLL are not fully understood. Active BCR signaling is mediated through activation of the downstream kinase Bruton tyrosine kinase (BTK), which has become a key therapeutic target to inhibit BCR signaling for the treatment of B cell malignancies. We reasoned that blood samples from CLL patients before and after Bruton's tyrosine kinase inhibitors (BTKi) treatment would provide a valuable resource in the study of BCR modulation of epigenetic machinery in leukemic B cells. Methods: We obtained blood samples from CLL patients before and after BTKi ibrutinib treatment and used them to study BCR signaling regulated genes (n = 8 patients, after one-year of continuous ibrutinib treatment). Gene expression profile of CLL B cells from patients before and after one-year ibrutinib treatment was analyzed by mRNA-seq seq. Genome wide Histone H3K4me1, H3K27ac, and H3K4me3 profile was determined by CUT&tag. Chromatin accessibility was determined by ATAC-seq. Putative enhancers were deleted by CRISPR-Cas9. Results: Notably BTKi treatment led to the reduction of expression in genes associated with single strand DNA deamination (Fig. 1A) The BTKi regulated genes involved in this process mainly contains the APOBEC3 family genes (APOBEC3C, APOBEC3D APOBEC3F, APOBEC3G, APOBEC3H), and their expression levels showed a consistent reduction in CLL B cells from ibrutinib treated patients (Fig. 1B). We then confirmed the reduction of APOBEC3 levels by western blot in CLL B cells from four patients before and after one-year of continuous ibrutinib treatment (Fig. 1C). We hypothesized that BCR signaling regulates APOBEC3 expression by modifying the local chromatin around the APOBEC3 gene cluster and performed CUT&Tag to map the histone marks including H3K4me1, H3K4me3, H3K27ac and ATAC-seq. This approach permitted us to examine the chromatin accessibility of the leukemic cells from CLL patients before and then after one-year of continuous ibrutinib treatment. We found that BTKi treatment caused reductions of H3K4me1, H3K27ac, and chromatin accessibility at these regions in ibrutinib treated patients ( 7 of the 8 samples tested), however, there was no change of the promoter marker H3K4me3 (Fig. 1D), which indicated that BTKi treatment leads to APOBEC3 genes expression change via the regulation of their enhancer regulation (APOBEC3 enhancers, AEs). Based on the enrichment of H3K4me1, H3K27ac and chromatin accessibility, AE regions of the ibrutinib native samples contain three active enhancer modules, we designated these modules as AE1, AE2, and AE3 (Fig. 1D). To assess the functional activity of these enhancers on the expression of APOBEC3 genes, we investigated the consequence of deletion of each one of these AEs in the MEC1 cell line by CRISPR-Cas9. PCR analysis showed very robust deletion of AE1, AE2, and AE3 (Fig. 1E). Both deletion of AE1 or AE2 reduced the expression of APOBEC3 genes, while AE3 deletion suppressed the expression of APBEC3C, APOBEC3D, APOBEC3F and APOBEC3G, but not APOBEC3H, which is in closest proximity to AE3 (Fig. 1F, G). Together, we identified the BCR signaling dependent enhancers that regulate APOBEC3 expression. Since APOBEC3 deaminates ssDNA, we reasoned that APOBEC3 in CLL B cells may also contribute to replication stress and DNA instability. We found that MEC1 cells have a high level of spontaneous DNA damage in the S phase cells (Fig. 1H). which is associated with replication stress. However, AE2 deleted MEC cells showed decreased γH2Ax in the S phase cells (Fig. 1H). Edu/PI assay showed that MEC1 cells had a fraction of S phase cells with low Edu incorporation during S phase, also indicating DNA replication stress (Fig. 1I); however, AE2 deletion greatly increased Edu incorporation (Fig. 1I). Taken together, these data suggest that increased expression of APOBEC3 may be involved in DNA replication stress and drives genomic instability in malignant B cells. Conclusion: We demonstrate a novel mechanism for BTKi suppression of APOBEC3 expression via direct enhancer regulation in CLL B cells, implicating BCR signaling as a potential regulator of leukemic genomic instability. Figure 1 Figure 1. Disclosures Parikh: Pharmacyclics, MorphoSys, Janssen, AstraZeneca, TG Therapeutics, Bristol Myers Squibb, Merck, AbbVie, and Ascentage Pharma: Research Funding; Pharmacyclics, AstraZeneca, Genentech, Gilead, GlaxoSmithKline, Verastem Oncology, and AbbVie: Membership on an entity's Board of Directors or advisory committees. Kay: AstraZeneca: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Dava Oncology: Membership on an entity's Board of Directors or advisory committees; Genentech: Research Funding; Agios Pharm: Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sunesis: Research Funding; Juno Therapeutics: Membership on an entity's Board of Directors or advisory committees; Targeted Oncology: Membership on an entity's Board of Directors or advisory committees; Rigel: Membership on an entity's Board of Directors or advisory committees; Morpho-sys: Membership on an entity's Board of Directors or advisory committees; MEI Pharma: Research Funding; Behring: Membership on an entity's Board of Directors or advisory committees; Acerta Pharma: Research Funding; Bristol Meyer Squib: Membership on an entity's Board of Directors or advisory committees, Research Funding; TG Therapeutics: Research Funding; Tolero Pharmaceuticals: Research Funding; Oncotracker: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; CytomX Therapeutics: Membership on an entity's Board of Directors or advisory committees.

Abstract Proximity labeling catalyzed by promiscuous enzymes, such as APEX2, has emerged as a powerful approach to characterize multiprotein complexes and protein–protein interactions. However, current methods depend on the expression of exogenous fusion proteins and cannot be applied to identify proteins surrounding post-translationally modified proteins. To address this limitation, we developed a new method to label proximal proteins of interest by antibody-mediated protein A-ascorbate peroxidase 2 (pA-APEX2) labeling (AMAPEX). In this method, a modified protein is bound in situ by a specific antibody, which then tethers a pA-APEX2 fusion protein. Activation of APEX2 labels the nearby proteins with biotin; the biotinylated proteins are then purified using streptavidin beads and identified by mass spectrometry. We demonstrated the utility of this approach by profiling the proximal proteins of histone modifications including H3K27me3, H3K9me3, H3K4me3, H4K5ac, and H4K12ac, as well as verifying the co-localization of these identified proteins with bait proteins by published ChIP-seq analysis and nucleosome immunoprecipitation. Overall, AMAPEX is an efficient method to identify proteins that are proximal to modified histones.

Abstract Chronic lymphocytic leukemia (CLL) is a neoplastic disease of mature B-cells with a highly heterogeneous clinical course. While European ancestry (EA) populations present an increased incidence of CLL, African ancestry (AA) populations have a younger median age of onset, higher frequency of adverse prognostic factors, and inferior clinical outcomes. Despite the considerable effort to characterize the genetic landscape of CLL, AA are overwhelmingly underrepresented. Our hypothesis is that the clinical differences observed between AA and EA populations are, in part, explained by underlying genetic features. To address this imbalance, we identified 90 AA patients diagnosed with CLL, 64% of which were untreated at sample collection. RNA and DNA were extracted from CD5+/CD19+ clonal B-cells. We performed mRNA-seq and targeted sequencing in 59 recurrently mutated somatic CLL driver genes. Differentially expressed genes were identified using edgeR. Data was compared to our previously analyzed EA CLL cohort (N=445). The median age at diagnosis was 59 years for AA and 66 for EA and 74% of AA and 50% of EA had unmutated IGHV (u-IGHV) status. When evaluating the entire AA and EA cohorts, there was a significant increased frequency of mutations in TP53, SF3B1, and NFKBIE, identified in 29%, 24%, and 20% of AA CLLs, compared to 5%, 9%, and 9%, respectively, in EA CLLs (p<0.01). When exclusively evaluating the untreated and u-IGHV cases, AA CLLs showed greater proportion of TP53 (30% vs 12%; p=0.0145), NFKBIE (30% vs 15%; p=0.0492), BIRC3 (21% vs 10%; p=0.0697), and KRAS (15% vs 7%; p=0.1683). Furthermore, there was an increase in mutations targeting relevant molecular pathways, such as NF-κB (42% vs 15%) and MAPK (18% vs 8%). Upregulation MAPK pathway was also confirmed by mRNA-seq analysis in the AA u-IGHV CLLs. Because of the high prevalence of TP53 mutations in the AA cohort, we further evaluated differential gene expression in the DNA Damage/Telomere Stress-Induced Senescence pathway. AA CLLs presented a significant downregulation of multiple genes associated with genome stability and cellular DNA damage response - DDR (including TP53 and ATM), double strand break repair (H2AFX and RAD50), telomere maintenance (POT1 and ACD), and cell cycle regulation (RB1, CCNA1, and CCNE2) (FDR<0.05). DDR is responsible for DNA repair or induction of apoptosis, with its deficiency resulting in the accumulation of chromosomal aberrations, negatively impacting clinical outcome in CLL. Disparities in cancer are influenced by numerous factors that affect disease risk, screening and diagnosis, access to treatment, and survival. We identified an increased number of genomic alterations in the AA CLL cohort, primarily inducing activation of NF-κB and MAPK pathways and DDR impairment, with the increased frequency of mutations, notably in TP53 and BIRC3, expected to negatively impact prognosis. Citation Format: Cecilia Bonolo de Campos, Daniel R. O'Brien, Chantal E. McCabe, Huihuang Yan, Geffen Kleinstern, Zhiquan Wang, Laura A. Bruins, Cristine Allmer, Nicholas J. Boddicker, Charla R. Secreto, Aaron D. Norman, Shulan Tian, Kari G. Rabe, Timothy G. Call, Sameer A. Parikh, Jose F. Leis, Wei Ding, Richard Furman, J Brice Weinberg, James R. Cerhan, Celine M. Vachon, Neil E. Kay, Susan L. Slager, Esteban Braggio. Characterization of underlying genomic features among African ancestry populations diagnosed with chronic lymphocytic leukemia [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2021; 2021 Apr 10-15 and May 17-21. Philadelphia (PA): AACR; Cancer Res 2021;81(13_Suppl):Abstract nr 2209.

Introduction: Chronic Lymphocytic Leukemia (CLL) is characterized by the accumulation of mature-appearing malignant lymphocytes (CLL B-cells) in the blood, marrow, lymph nodes, and spleen. Despite improved outcome with the introduction of novel BCR and BCL-2 inhibitors, disease progression is still a therapeutic challenge from either differential responses or acquired drug resistance. Recent studies in CLL reported alterations of the epigenetic landscape as well as mutations of genes encoding key chromatin machineries. These aberrant chromatin structures may provide novel therapeutic targets for CLL. Here, we identify aberrant chromatin features in CLL B-cells as novel therapeutic targets. Methods: Histones were extracted by acid from B cells derived from 10 random selected CLL patients and 10 normal donors and histone modifications were checked by western blot. For ChIP-seq study, published H3K27me3 ChIP-seq data (GSE113336) were downloaded from and analyzed (Control samples, n= 6; CLL samples, n=16). Gene ontology analysis used the Panther Classification System. Cell Survival was determined by CellTiter 96® AQueous Assay (Promega). Results: While most histone modifications do not vary between CLL and controls, H3K27me3 and H3.3S31ph are increased and decreased respectively, albeit variably, in CLL B-cells (Fig1. A and B). Notably, the low level of H3.3S31ph was observed in a subset of samples (7 of 10 CLL samples tested). To further investigate the biology and role of H3K27me3 in CLL, we analyzed its genome-wide distribution by chromatin immunoprecipitation followed by sequencing (ChIP-seq). Our analysis showed that the genes with increased H3K27me3 occupancy were mostly enriched in tumor suppression pathways (e.g., negative regulation of PI3K-Akt pathway) or down-regulated genes in CLL such as genes involved in the pro-apoptotic pathway (FAS) (Fig1. C and D). These results suggested that high enrichment of H3K27me3 may regulate the expression of these genes, contributing to CLL survival. H3K27 methylation, an important suppressive histone modification that is associated with transcription repression, is catalyzed by Polycomb Repressive Complex 2 (PRC2). Therefore, inhibition of Enhancer of Zeste Homolog 2 (EZH2), the catalytic subunit of PRC2, could be explored as a therapy approach in CLL. However, feedback activation of H3K27 acetylation (H3K27ac) can promote expression of pro-survival genes that confers EZH2 inhibitor (EZH2i) resistance, which limits its use in human malignancy. Thus, the epigenetic determinants that reliably overcome EZH2i resistance or sensitize cells to EZH2 inhibition have yet to be identified. As we observed that the CLL B-cells in a subset of CLL patients have low levels of H3.3S31ph, and a recent study showed the importance of H3.3S31ph for the enzymatic activity of p300 to acetylate H3 at lysine 27(Martire S et al., Nat Genet. 2019), we assessed the role of H3.3S31ph in the process of EZH2 inhibitor-mediated H3K27ac. Our results showed that inhibition of H3.3S31ph by CHK1 inhibitor MK-8776 abolished the activation of H3K27ac by EZH2i in MEC1 cells, which represents the patients who have CLL cells with relatively high level H3.3S31ph. However, we did not see a major increase of H3K27ac and H3.3S31ph in primary CLL B-cells with EZH2 inhibition (Fig. 1E), consistent with the relatively low expression of CHK1 protein in these cells (Fig. 1F). Because our data shows the requirement of H3.3S31ph in H3K27ac activation by EZH2 inhibition, we next tested if H3.3S31ph inhibition could overcome H3K27ac induced EZH2 inhibition resistance. We found that suppression of H3.3S31ph by CHK1 inhibitor MK-8776 sensitizes the CLL-like line MEC1 to EZH1/2 inhibition (Fig. 1 G). We then showed that an EZH2 inhibitor, Valemetostat, reduce the survival of the primary CLL B-cells (Fig. 1 H). These results suggest that the low level of H3.3S31ph may provide a therapeutic opportunity for CLL treatment with EZH inhibition. Conclusion: In summary, we have elucidated how epigenetic features in leukemic CLL B-cells (H3K27me3 and H3.3S31ph), can provide novel treatment targets for CLL (Fig. 1 I). Moreover, this study may provide a proof of concept to develop new treatment strategies based on epigenetic vulnerabilities in other hematological malignancies. Disclosures Parikh: GlaxoSmithKline: Honoraria; MorphoSys: Research Funding; Genentech: Honoraria; Ascentage Pharma: Research Funding; AbbVie: Honoraria, Research Funding; TG Therapeutics: Research Funding; Janssen: Honoraria, Research Funding; AstraZeneca: Honoraria, Research Funding; Pharmacyclics: Honoraria, Research Funding; Verastem Oncology: Honoraria; Merck: Research Funding. Kenderian:Kite: Research Funding; MorphoSys: Research Funding; Tolero: Research Funding; Humanigen: Consultancy, Patents & Royalties, Research Funding; BMS: Research Funding; Gilead: Research Funding; Juno: Research Funding; Lentigen: Research Funding; Mettaforge: Patents & Royalties; Novartis: Patents & Royalties, Research Funding; Torque: Consultancy; Sunesis: Research Funding. Ding:Beigene: Membership on an entity's Board of Directors or advisory committees; Octapharma: Membership on an entity's Board of Directors or advisory committees; MEI Pharma: Membership on an entity's Board of Directors or advisory committees; alexion: Membership on an entity's Board of Directors or advisory committees; Merck: Membership on an entity's Board of Directors or advisory committees, Research Funding; Astra Zeneca: Research Funding; DTRM: Research Funding; Abbvie: Research Funding. Braggio:DASA: Consultancy; Bayer: Other: Stock Owner; Acerta Pharma: Research Funding. Kay:Oncotracker: Membership on an entity's Board of Directors or advisory committees; Juno Theraputics: Membership on an entity's Board of Directors or advisory committees; Dava Oncology: Membership on an entity's Board of Directors or advisory committees; Rigel: Membership on an entity's Board of Directors or advisory committees; Morpho-sys: Membership on an entity's Board of Directors or advisory committees; Cytomx: Membership on an entity's Board of Directors or advisory committees; Agios Pharma: Membership on an entity's Board of Directors or advisory committees; Astra Zeneca: Membership on an entity's Board of Directors or advisory committees; Sunesis: Research Funding; MEI Pharma: Research Funding; Abbvie: Research Funding; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Tolero Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol Meyer Squib: Membership on an entity's Board of Directors or advisory committees, Research Funding; Acerta Pharma: Research Funding.