Mutations In Epigenetic Regulators Research Articles

Mutation analysis in Korean patients with T-cell acute lymphoblastic leukemia

Genomic studies have illuminated the alterations in pathways underlying T-cell acute lymphoblastic leukemia (T-ALL) pathogenesis, but detailed mutation data by next-generation sequencing have not been reported in Korean patients. We aimed to investigate mutation frequency, spectrum, and pattern in the Korean patients with T-ALL. We designed a multigene panel targeting 101 genes and validated it using 10 reference materials. The mutation analysis was done in a total of 10 patients with T-ALL. Clinical data and laboratory tests including immunophenotyping, cytogenetics, and molecular genetic tests were also investigated. All of the 10 patients harbored at least one mutation (range 1–6 per patient). A total of 34 clinically significant mutations including 15 novel mutations were identified in 23 genes. The median of variant allelic frequencies (VAFs) and blasts were counted upto 33% (range 5–91%) and 79% (range 38–90%), respectively. Recurrent mutations were involved in epigenetic regulators (60%), NOTCH1 signaling (40%), PI3K-AKT (40%), JAK-STAT (30%), and transcription factors (30%). We found that both NOTCH signaling and JAK-STAT signaling were positively associated with epigenetic regulators, while showed mutually exclusive patterns with PI3K-AKT pathway. This study showed that the frequency of mutations in epigenetic regulators in Korean patients was significantly higher than expected. Distribution of VAF as well as mutation spectrum is considerably heterogeneous in Korean patients with T-ALL. Although from a limited number of patients, this study provides the first detailed mutational portrait of T-ALL of Korean patients, and gives additional insight into molecular pathogenesis of the disease.

Integrated Transcriptomic and Genomic Sequencing Identifies Prognostic Constellations of Driver Mutations in Acute Myeloid Leukemia and Myelodysplastic Syndromes

CG Mullighan and T Haferlach: are co-senior authors Introduction: Recent genomic sequencing studies have advanced our understanding of the pathogenesis of myeloid malignancies, including acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS), and improved classification of specific subgroups. Unfortunately, these studies have mostly analyzed specific subtypes and/or used targeted DNA-sequencing, thus limiting discovery of novel mutational patterns and gene expression clusters. Here, we performed an integrated genome-wide mutational/transcriptomic analysis of a large cohort of adult AML and MDS samples to accurately define subtypes of diagnostic, prognostic and therapeutic relevance. Methods: We performed unbiased whole genome (WGS) and transcriptome sequencing (RNA-seq) of 1,304 adult individuals (598 AML and 706 MDS; Fig. 1A), incorporating analysis of somatic and presumed germline sequence mutations, chimeric fusions and structural complex variations. Transcriptomic gene expression data were processed by a rigorous bootstrap procedure to define gene expression subgroups in an unsupervised manner. Associations between genetic variants, gene expression groups and outcome were examined. Results: Genomic/transcriptome sequencing confirmed diagnosis according to WHO 2016 of AML with recurrent genetic abnormalities in 10.9% of cases. These cases had a distinct gene expression profile (Fig. 1A), good prognosis (Fig. 1B) and a combination of mutations in the following genes: KIT, ZBTB7A, ASXL2, RAD21, CSF3R and DNM2 in RUNX1-RUNXT1 leukemia; FLT3, DDX54, WT1 and CALR in PML-RARA promyelocytic leukemia; KIT and BCORL1 in CBFB-rearranged leukemia. In addition, 9% of cases showed rearrangements of KMT2A, with known (e.g. MLLT3) and non-canonical partners (e.g. ACACA, and NCBP1) and poor outcome. Although common targets of mutations have been previously described for myeloid malignancies, the heterogeneity and complexity of mutational patterns, their expression signature and outcome here described are novel. Gene expression analysis identified groups of AML and/or MDS lacking recurrent cytogenetic abnormalities (87%). The spectrum of the most frequently mutated genes (>10 cases) and associated gene expression subtypes is summarized in Figure 1A. TET2 (more frequent in MDS than AML, p=0.0011) and DNMT3A (more frequent in AML than MDS, p<0.0001) were the most frequently mutated genes. Interestingly, mutations in these genes promoting clonal hematopoiesis were significantly enriched in the subgroup with NPM1 mutations. Overall, NPM1 mutations occurred in 27.4% of AML and 1% of MDS and were characterized by four expression signatures with different combination of cooperating mutations in cohesin and signaling genes and outcome (Fig. 1C, gene expression, GE, groups 2, 3, 7 and 8). Co-occurring NPM1 and FLT3 mutations conferred poorer outcome compared to only NPM1, in contrast co-occurring mutations with cohesin genes had better outcome (Fig. 1D). Additional mutations that significantly co-occurred with NPM1 were in PTPN11, IDH1/2, RAD21 and SMC1A. Three gene expression clusters accounted for additional 9% of cases with mutual exclusive mutations in RUNX1,TP53 and CEBPA and co-occurring with a combination of mutations in DNA methylation, splicing and signaling genes (Fig. 1E, GE groups 4, 5 and 6). Interestingly, RUNX1 mutations were significantly associated with SRSF2 mutations but not with SF3B1, showed high expression of MN1 and poor outcome (Fig. 1F). In contrast to the distinct, mutation-associated patterns of gene expression in AML samples, the gene expression profile of MDS was less variable despite diversity in patterns of mutation. MDS was enriched in mutations of SF3B1 (27.2%), mutually exclusive with SFRS2 (14.4%) and U2AF1 (5.5%); TP53 (13.7%) and RUNX1 (10.5%) and a combination of mutations in epigenetic regulators with outcome dependent on mutational pattern (Fig. 1A, G-H). Moreover, structural variations and/or missense mutations of MECOM accounted for 2% of cases. Conclusions: the integration of mutational and expression data from a large cohort of adult pan myeloid leukemia cases enabled the definition of subtypes and constellations of mutations and have prognostic significance that transcends prior gene panel-based classification schema. Disclosures Meggendorfer: MLL Munich Leukemia Laboratory: Employment. Nadarajah:MLL Munich Leukemia Laboratory: Employment. Baer:MLL Munich Leukemia Laboratory: Employment. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Mullighan:Illumina: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: sponsored travel; Pfizer: Honoraria, Other: speaker, sponsored travel, Research Funding; AbbVie: Research Funding; Loxo Oncology: Research Funding; Amgen: Honoraria, Other: speaker, sponsored travel. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership.

HDAC Inhibitors in Acute Myeloid Leukemia.

Acute myeloid leukemia (AML) is a hematological malignancy characterized by uncontrolled proliferation, differentiation arrest, and accumulation of immature myeloid progenitors. Although clinical advances in AML have been made, especially in young patients, long-term disease-free survival remains poor, making this disease an unmet therapeutic challenge. Epigenetic alterations and mutations in epigenetic regulators contribute to the pathogenesis of AML, supporting the rationale for the use of epigenetic drugs in patients with AML. While hypomethylating agents have already been approved in AML, the use of other epigenetic inhibitors, such as histone deacetylases (HDAC) inhibitors (HDACi), is under clinical development. HDACi such as Panobinostat, Vorinostat, and Tricostatin A have been shown to promote cell death, autophagy, apoptosis, or growth arrest in preclinical AML models, yet these inhibitors do not seem to be effective as monotherapies, but rather in combination with other drugs. In this review, we discuss the rationale for the use of different HDACi in patients with AML, the results of preclinical studies, and the results obtained in clinical trials. Although so far the results with HDACi in clinical trials in AML have been modest, there are some encouraging data from treatment with the HDACi Pracinostat in combination with DNA demethylating agents.

Mutational Synergy Coordinately Remodels Chromatin Accessibility, Enhancer Landscape and 3-Dimensional DNA Topology to Alter Gene Expression during Leukemia Induction

Aberrant transcriptional programs are cardinal features of Acute Myeloid Leukemia (AML). Recently, it has been shown that specific distal cis-regulatory elements called enhancers communicate with promoters through 3-D DNA looping to regulate tissue-specific gene expression. Recurrent mutations in epigenetic regulators that modify enhancers, transcription factors that bind enhancers and the structural proteins that promote DNA looping, such as the Cohesin complex and its major binding partner CTCF have been demonstrated in AML. However, how these mutations regulate chromatin and alter 3D-DNA topology and communication between enhancers and promoters to generate leukemia-specific transcriptional programs remains poorly understood. In addition, many AML cases lack mutations in epigenetic regulators, transcription factors or DNA structural proteins, yet still demonstrate aberrant transcription, suggesting indirect effects of other mutations on enhancer function and the epigenetic landscape. To address these questions, we have utilized an allelic series of mice carrying the most common mutations in AML, namely Flt3-ITD and Npm1c (co-mutated in ~15% of all AMLs). These model different "transition states" (normal: wild type (WT), Pre-Malignant: single mutant (SM) with either Flt3-ITD or Npm1c mutations and Malignant: double mutant (DM)) during AML induction. Moreover, our design allows analysis of the SM mice to deconvolute the contribution of individual mutations to altered chromatin regulation. We have analyzed hematopoietic stem and progenitor cells (HSPCs) from WT and mutant mice for gene expression (RNA-seq), chromatin activation states (ChIP-seq for H3K4me1, H3K4me3, H3K27ac and H3K27me3), chromatin accessibility (ATAC-seq), and promoter-anchored 3-D chromatin interaction (promoter capture HiC, pCHiC)(Figure 1) and have integrated these analyses to determine the transcriptional, epigenetic and DNA-topological evolution of AML. Through pairwise comparisons between mutant and WT HSPCs, our data demonstrated that SM cells, with either Flt3-ITDor Npm1c mutations, alter gene expression only very modestly. However, when both mutations are present in DM cells, much larger gene programs that drive leukemia are both up- and downregulated. To examine the epigenetic regulation of these programs, we next built an enhancer compendium across all 4 allelic states using the H3K4me1 mark. Layering on H3K27ac activation, our data demonstrated that, in contrast to gene expression, significant alterations in enhancer specification and activation occur in advance of gene expression changes, to "prime" critical genes in Flt3-ITD, but not in Npm1c HSPCs. By contrast, Flt3-ITD and Npm1c mutations both altered global chromatin accessibility, with losses and gains evident at multiple critical genes. Similarly, our pCHiC data demonstrated significant alterations in DNA topology in mutant HSPCs that culminate in alterations in DNA "compartments" in DM HSPC. Moreover, they identified "hardwired" and "rewired" interactions between promoters and enhancers important for expression of critical leukemia programs. Analyses of all of these separate layers demonstrated a uniform pattern; progressive alterations in the transition from SM to DM HSPCs. Integrating these layers of analysis clearly demonstrated synergy between the mutations and a correlation between gene expression changes and chromatin dynamics in mutant cells. Furthermore, performing de novo motif analysis suggested a signal-specific transcription factor (TF) network downstream of Flt3-ITD that was amplified in the DM HSPC and that was corroborated by GSEA analysis. Our data had identified long-range regulatory control regions at the Spi1/PU.1 and Hoxa cluster loci amongst many others, and motif analysis had suggested Hox and Pu.1 to be important TFs in our malignant networks. Using these as examplars, we then perturbed the genes and regulatory elements at these loci by shRNA knockdown and CRISPR-mediated excision and could abrogate leukemic growth, validating the importance of our proposed networks. Taken together, these integrated analyses demonstrate a highly dynamic and coordinated process, where the effects of individual mutations synergize to remodel the chromatin landscape and 3D-DNA topology to generate networks that initiate and maintain AML transcriptional programs. Figure Disclosures Vassiliou: Kymab Ltd: Consultancy, Other: Minor Stockholder; Oxstem Ltd: Consultancy; Celgene: Research Funding.

Single Cell Transcriptomic Analysis of the Histone H3 K27M Mutation in Pre-Leukemic Hematopoietic Stem Cells

Acute myeloid leukemia (AML) develops in a step-wise manner from pre-leukemic clonal expansion to full-blown disease driven by aberrant epigenetic changes. Indeed, regulators of the epigenome such as DNMT3A, TET2, IDH1/2, EZH2 and ASXL1 are often mutated in pre-leukemia and myeloid malignancies. We and others identified K27M/I mutations in histone H3 in AML (Boileau et al. Nat Commun, 2019; Lehnertz et al. Blood, 2017). We demonstrated that K27 mutations are found in pre-leukemic hematopoietic stem cells (HSCs), are enriched in secondary AML, expand the functional human HSC pool and increase leukemic aggressiveness. Transcriptomic and epigenomic analysis determined that K27 mutations alter gene expression through a global decrease in promoter H3K27 tri-methylation and a gene-specific increase in H3K27 acetylation in leukemic cells (Boileau et al. Nat Commun, 2019). Here, we have analyzed the effects of the K27M mutation on HSCs at the single-cell level to understand its role in pre-leukemic clonal expansion. Healthy CD34+CD38- human cord blood cells were transduced with HIST1H3H WT or K27M and injected intrafemorally into sub-lethally irradiated NSG mice. After 14 weeks, bone marrow cells from the femur were collected and sorted for CD34+ transduced (GFP+) cells. Single-cell transcriptomics were performed by generating gene expression libraries from ~8,000 CD34+ cells using the 10X Genomics technology and sequenced using HiSeq4000. We have performed initial clustering and dimensionality reduction (t-SNE and UMAP) and identified 10 and 11 distinct clusters in the WT and K27M samples, respectively. Gene sets distinguishing the individual clusters have been determined. Using published gene lists for primitive hematopoietic cell types, the clusters have been assigned to specific cell types such as HSC, granulocyte-monocyte progenitors (GMP), common myeloid progenitors (CMP), multi-lymphoid progenitors (MLP) and megakaryocyte-erythroid progenitors (MEP) (Laurenti et al. Nat Immunol, 2013). Preliminary joint clustering analysis indicates the presence of two distinct clusters for the WT and K27M samples that were both assigned as "HSCs" in individual clustering. Further analysis to identify the differences in the clusters and cell populations between WT and K27M samples is being performed and will be presented at this meeting. Overall, this single-cell transcriptomic analysis will aid in determining the mechanism of action of the K27M mutant histone in pre-leukemic HSC clonal expansion. In addition, we will be performing similar single-cell analysis on HSCs expressing mutant ASXL1 as a comparison. Further understanding of the role of mutations in epigenetic regulators, such as histone H3 and ASXL1, in pre-leukemic clonal hematopoiesis will provide valuable insight on how to better prevent and treat AML and other myeloid malignancies. Disclosures No relevant conflicts of interest to declare.

DNA Methylation Profiling of AML Reveals Epigenetic Subgroups with Distinct Clinical Outcome

In acute myeloid leukemia (AML), DNA methylation is frequently altered and epigenetic regulators are commonly mutated. Here, we describe the effects of mutations in commonly mutated genes (NPM1, FLT3-ITD, DNMT3A, IDH1, IDH2, TET2, and WT1), including epigenetic regulators, on DNA methylation profiles and differential gene expression. Moreover, we show that subgroups of epigenetically homogeneous AML patients differ significantly in clinical outcome. We have characterized 212 AML patients treated on consecutive trials of the AMLCG study group using Illumina Infinium MethylationEPIC BeadChips, gene panel sequencing, and transcriptome sequencing. In order to detect differentially methylated CpG sites (dmCpGs) according to a particular mutation, we have selected sets of mutated and control samples for each gene of interest individually. We excluded samples with subclonal variants only and selected control samples based on matching karyotype and matching pattern of co-mutations. Mutations at the R882 hotspot of DNMT3A result in global hypomethylation while alterations of IDH1, IDH2, TET2, or WT1 lead to global hypermethylation. Still, subsets of dmCpGs are hypermethylated in DNMT3A-R882+ AML as well as hypomethylated in IDH1+, IDH2+, TET2+, and WT1+ AML. NPM1 mutations result both in hypo- and hypermethylation, while based on FLT3-ITD status, we could not detect significant changes in DNA methylation. Of note, we observed wildtype samples with a methylation profile highly matching that of mutated samples for most comparisons, suggesting alternative mechanisms. Moreover, mutations in IDH1, IDH2, TET2, and WT1 show substantial overlaps in dmCpGs, which is in line with their reported function, while the overlap with DNMT3A-R882 is rather small. Of note, we also detected overlaps in gene expression profiles by comparing test and control samples, in particular between AML with IDH1, IDH2, or WT1 mutations. The proto-oncogenes FOSB, FOSL2, and JUN are differentially expressed in IDH1+ AML, while in IDH2+ and WT1+ AML, members of the RPL and RPS gene families of ribosomal proteins are deregulated, known to alter FOS and JUN function. Unsupervised hierarchical clustering of all samples in our cohort results in two highly distinct epigenetic subgroups, each with three subclusters (Figure 1A). Of note, clusters are associated with distinct mutations. Most AML samples in clusters 1, 2, or 3 are mutated in NPM1, while clusters 4, 5, and 6 are mostly NPM1 wildtype. Still, the genetic profiles of subclusters differ based on the presence of mutations in IDH1/IDH2/TET2 (clusters 1 and 4), DNMT3A (cluster 2), and DNMT3A-R882/WT1 (cluster 3). Clusters 5 and 6 show only few mutations in DNMT3A, IDH1, IDH2, TET2, or WT1. Mutations in FLT3 are not associated with any cluster. Of note, epigenetic subgroups are also associated with differences in overall survival (OS) and event free survival (EFS) (Figure 1B). Clusters 1, 3, and 5 show significantly better outcome (median OS: 1113, 1046, and 1054 days; median EFS 513, 374, and 305 days) as compared to clusters 4 and 6 (median OS: 378 and 296 days; median EFS 103 and 70 days; p<0.0001, log-rank test; Figure 1C). Moreover, clusters largely correlate with ELN-2017 classification, although cluster 3 also includes ELN intermediate patients and cluster 5 also includes ELN adverse patients. Still, these patients show better outcome as compared to other patients classified as intermediate or adverse, respectively. Cluster 6 largely includes ELN adverse patients, showing the overall worst outcome of all clusters (80% of samples with EFS <180 days). Interestingly, Cluster 2 has intermediate OS and EFS (median OS: 710, median EFS: 437), including both ELN favorable and ELN adverse patients. Of note, within ELN favorable AML, samples of cluster 2 perform worst, while within ELN adverse AML, samples of cluster 2 perform the best. This points towards a subgroup of patients that might benefit from risk assessment based on DNA methylation profiles. Although the epigenetic landscape of AML is complex, we identified nearly homogeneous subgroups, which are associated with but not limited to mutations in epigenetic regulators. As epigenetic subgroups show differences in clinical outcome, DNA methylation profiling has the potential to refine AML risk stratification. Disclosures Metzeler: Otsuka: Honoraria; Celgene: Honoraria, Research Funding; Daiichi Sankyo: Honoraria. Hiddemann:Vector Therapeutics: Consultancy, Honoraria; Roche: Consultancy, Honoraria, Research Funding; Bayer: Research Funding; Gilead: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria.

A multicenter analysis of genomic profiles and PD-L1 expression of primary lymphoepithelioma-like carcinoma of the lung

To understand the molecular mechanism of tumorigenesis of pulmonary lymphoepithelioma-like carcinoma and explore potential therapeutic strategies, we investigated the genomic profiles and PD-L1 expression of 29 Chinese pulmonary lymphoepithelioma-like carcinoma patients at various stages. We performed capture-based targeted sequencing on tissue samples collected from 27 patients with sufficient samples using a panel consisting of 520 cancer-related genes, spanning 1.64 Mb of the human genome. We identified 184 somatic mutations in 109 genes from 26 patients. One patient had no mutations detected by this panel. Copy number variations were detected in 52% (14/27) of the patients, with a majority having advanced-stage disease (10/14). Except for the detection of ERBB2 amplification and KRAS mutation in two patients, no other classic lung cancer driver mutations were detected. Interestingly, 78% (21/27) of the patients had mutations in epigenetic regulators. Of the 184 mutations identified, 51 occurred in 29 epigenetics-related genes. Furthermore, we performed PD-L1 immunohistochemistry staining using the Dako 22C3 assay and demonstrated that 69% (20/29) of the cohort had positive PD-L1 expression, of which three patients received and benefited from a PD-1 inhibitor. In conclusion, we elucidated a distinct genomic landscape associated with pulmonary lymphoepithelioma-like carcinoma with no classic lung cancer driver mutation but an enrichment of mutations in epigenetic regulators. The detection of high PD-L1 expression and lack of any canonical druggable driver mutations raises the potential of checkpoint immunotherapy for pulmonary lymphoepithelioma-like carcinoma.

INVESTIGATING THE ROLE OF COHESIN MUTATIONS AND EPIGENETIC HETEROGENEITY IN PRE-LEUKEMIC HEMATOPOIETIC STEM CELL CLONAL EVOLUTION

Acute myeloid leukemia is a highly heterogeneous disease characterized by the accumulation of poorly differentiated myeloid progenitors. Mutations in epigenetic regulators are highly recurrent in AML, underscoring the importance of the epigenome in affecting this disease. Past research in our lab has identified an evolutionary process through which, and has tracked regulatory chromatin signatures that contribute to leukemia pathogenesis; however, the regulatory programs and epigenetic factors contributing to AML relapse remains largely unexplored. To model pre-leukemic mutations, we utilize CRISPR/Cas9 to genetically modify a cohesin complex subunit (STAG2) in cord blood-derived CD34+ cells and include a homology donor encoding GFP to track the edited cells. Chromatin accessibility in STAG2-edited cells is measured using ATAC-seq, and epigenetic state is assessed both in bulk and at the single cell level. Following with past studies of cohesin mutations in CD34+ cells, genome editing of the endogenous STAG2 locus results in defects in erythroid differentiation, enhanced self-renewal, and retention of stem cell surface markers. STAG2 knockout cells display subtle yet distinct alterations in chromatin accessibility when compared to control cells. Single-cell ATAC-seq reveals distinct regulatory signatures and epigenetic heterogeneity in both primary patient-derived pHSCs and STAG2-engineered cells and identifies RUNX and GATA family members as critical factors in STAG2-edited CD34+ cells. Ongoing work involves characterizing cis and trans regulatory elements responsible for driving epigenetic heterogeneity in pHSCs. The successful completion of these studies will clarify the role of pre-leukemic epigenetic mutations in leukemia evolution and further elucidate the functional consequences of cohesin deficiency in hematopoietic stem cells.

Abstract 481: Distinct and overlapping patterns of B-cell growth pathway mutations in CD5-negative B-cell lymphoproliferative disorders

Abstract Low-grade CD5-negative B-cell lymphoproliferative disorders (CD5- LG B-LPD) encompass several entities that often show mutations in different growth regulatory pathways. These include MYD88 (TLR signaling), CD79A/B (BCR complex), CARD11 (CBM signalosome), CXCR4 (chemokine receptor), and NOTCH1/2 and are complemented by KLF2 mutations and BCL6 and MALT1 overexpression. Using targeted, next-generation sequencing (NGS) for 50 B-cell associated growth regulators and epigenetic modifiers (>1000X depth) and cytogenetic/FISH data, we sought to delineate the complementary mutation and gene amplification patterns in 45 consecutive cases of CD5- LG B-LPD. In mutation-negative cases, a 572-gene NGS panel was used to interrogate these pathways more completely. WHO diagnostic criteria were used, without reliance on molecular data, emphasizing morphology features, paraprotein level and type to distinguish lymphoplasmacytic lymphoma (LPL) from marginal zone lymphoma (MZL). As expected, MYD88 L265P mutations were seen in the majority of LPL (11/17, 65%), but also in CD5- chronic lymphocytic leukemia (CLL) (3/9, 33%) and splenic (S) MZL (1/6, 17%) but not in nodal MZL. In 4 LPL cases lacking MYD88 L265P, extra copies of chromosome 3 (BCL6), 6 (IRF4), 12 and/or 18 (MALT1) were seen, with CARD11 mutations in the other 2. NOTCH1/2 mutations were mostly associated with SLL/CLL (3/9, 33%). Mutations in epigenetic regulators (see Table) were seen in the majority of nodal MZL (8/13, 62%) but only few LPL (2/17, 12%) and SMZL (1/6, 17%). CXCR4 inactivating mutations were seen with MYD88 and CD79B mutations and +3/BCL6 alteration. CARD11 mutations were seen with KLF2, MYD88 and NOTCH1/2 mutations. Less common mutations targets included PTPRC and PLCG2 (pre-ibrutinib treatment). The higher rate of mutation in epigenetic regulators (along with loss of KLF2-mediated BCR signaling) supports a distinct pathogenesis for nodal MZL in contrast to other CD5- B-LPD. Calls per gene in MYD88 negative cases; *TP53, TET2, ASXL1, DNMT3A, BCORCD79BCARD11NOTCH1/2CXCR4KLF2Epigenetic gene set*LPL023000010000000010CD5- CLL000002001001001000001000000001sMZL011010010000000001nMZL000002000022000001010011000101000001000001000001012010000200 Citation Format: Sophia Shaddy, Weiqiang Zhao, Huolin Tu, Brianna Sisson, Rongqin Ren, Sean Caruthers, Susan Long, Peng Ru, Narendranath Epperla, Lynne Abruzzo, Kami Maddocks, Dan Jones. Distinct and overlapping patterns of B-cell growth pathway mutations in CD5-negative B-cell lymphoproliferative disorders [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 481.

Abstract 479: BRAF and KRAS mutation define distinct subtypes of the CpG island methylator phenotype in colorectal cancers

Abstract BACKGROUND AND AIMS: Colorectal cancer is an epigenetically heterogeneous disease, however the extent and spectrum of the CpG Island Methylator Phenotype (CIMP) is not clear.METHODS: Genome scale methylation and transcript expression were measured using the Illumina HM450 DNA methylation and HT12 V3 expression microarrays in 216 unselected colorectal cancers. Mutations in epigenetic regulators were assessed using CIMP-classified Cancer Genome Atlas exomes.RESULTS: CIMP-High cancers dichotomised into CIMP-H1 and CIMP-H2 based on methylation profile, which was supported by over-representation of BRAF (74%, P<0.0001) or KRAS (55%, P<0.0001) mutation. Congruent with increasing methylation, there was a stepwise increase in patient age from 62 years in the CIMP-Negative subgroup to 75 years in the CIMP-H1 subgroup (P<0.0001). CIMP-H1 were predominantly comprised of consensus molecular subtype 1 (CMS1) cancers (70%) whilst CMS3 was over-represented in the CIMP-H2 subgroup (55%). PRC2-marked loci were subjected to significant gene body methylation in CIMP cancers (P<1.6x10-78). We identified oncogenes susceptible to gene body methylation and Wnt pathway antagonists resistant to gene body methylation. CIMP cluster specific mutations were observed for in chromatin remodeling genes, such as in the SWI/SNF and NuRD complexes, suggesting synthetic lethality.CONCLUSION: There are five clinically and molecularly distinct subgroups of colorectal cancer. We show a striking association between CIMP and age, gender and tumor location and identify an unidentified role for gene body methylation in progression of serrated neoplasia. These data support our recent findings that CIMP is uncommon in young patients and that BRAF mutant polyps in young patients may have limited potential for malignant progression. Citation Format: Vicki L. Whitehall, Lochlan Fennell, Troy Dumenil, Gunter Hartel, Katia Nones, Catherine Bond, Diane McKeone, Ann-Marie Patch, Stephen Kazakoff, John Pearson, Nicola Waddell, Pratyaksha Wirapati, Paul Lochead, Shuji Ogino, Sabine Tejpar, Barbara Leggett. BRAF and KRAS mutation define distinct subtypes of the CpG island methylator phenotype in colorectal cancers [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2019; 2019 Mar 29-Apr 3; Atlanta, GA. Philadelphia (PA): AACR; Cancer Res 2019;79(13 Suppl):Abstract nr 479.

Follicular lymphoma genomics.

Follicular lymphoma genomics.

PF540 TERT PROMOTER METHYLATION AS A POTENTIAL PROGNOSTIC BIOMARKER FOR PROGRESSION OF UNEXPLAINED CYTOPENIA TO MDS AND AML

Background:Patients with myelodysplastic syndrome (MDS) often have mutations in epigenetic regulators and altered DNA methylation in their blood cells. Patients with unexplained cytopenia that do not fulfill the criteria for MDS are referred to as having idiopathic cytopenia of undetermined significance (ICUS) or, if they have MDS‐related mutations, clonal cytopenia of undetermined significance (CCUS).A previous study (Zhao et al. BJH 2016) showed that acute myeloid leukemia (AML) patients with preceding MDS (MDS/AML) have hypermethylation of the telomerase reverse transcriptase (TERT) promoter compared to healthy controls. Increased TERT promoter methylation may cause impaired telomerase activity and thereby shortening of telomeres and increased risk of progression to AML.Aims:We aimed to investigate DNA methylation of the TERT promoter to evaluate its potential as a biomarker of disease severity in patients with unexplained cytopenia and MDS.Methods:TERT promoter methylation of two regions (region 1 covering 5 CpG sites 456 to 424 bp upstream of the TSS and region 2 covering 6 CpG sites 384 to 328 bp upstream of the TSS) was analyzed by pyrosequencing in a cohort of 185 patients with ICUS (n = 65), CCUS (n = 49) or MDS (n = 71). Results are presented as DNA methylation percentage of region 1 and 2 (mean ± SD).Results:The 185 included patients (111 men, 74 women) had a median age of 69 years (ICUS: 65 years, CCUS: 70 years, MDS: 72 years) and the 15 healthy controls (6 men, 7 women) had a median age of 57 years.One‐way ANOVA analysis revealed significantly differences in TERT promoter methylation between all groups for both regions (region 1: p = 0.0004, region 2: p = 7.4 × 10–5).TERT promoter methylation in region 1 was significantly higher in all disease groups compared to healthy controls, with increasing methylation and significance levels with increased disease severity (ICUS: 8.3 ± 4.8, p = 0.03; CCUS: 10.2 ± 7.2, p = 0.0007, MDS: 11.3 ± 7.7, p = 1.9 × 10–6; Figure 1A). Furthermore, TERT promoter methylation levels of both CCUS and MDS patients were significantly higher than ICUS patients (p = 0.02 and p = 1.8 × 10–6, respectively.In region 2, MDS patients had significantly higher methylation (MDS: 8.8 ± 8.1, p = 0.001) compared to healthy controls (5.4 ± 3.2). TERT promoter methylation of region 2 in ICUS and CCUS patients was not significantly different from healthy controls or MDS patients (Figure 1B).Figure 1: Box‐and‐whisper plots of TERT promoter methylation percentage in region 1 (A) and region 2 (B) in 185 ICUS, CCUS, MDS patients and 15 age‐matched healthy controls.Summary/Conclusion:Promoter methylation of TERT increases gradually from healthy controls to ICUS, CCUS and MDS patients. Our study suggests that DNA methylation of the TERT promoter reflects disease severity of unexplained cytopenia and MDS patients. We are currently investigating if TERT promoter methylation can be used as a biomarker for survival and progression to MDS and AML.image

Genomic profiling of pulmonary lymphoepithelioma-like carcinoma (PLELC).

1572 Background: PLELC, a rare and distinct type of primary lung cancer, is characterized by Epstein-Barr virus (EBV) infection. Histologically, it resembles undifferentiated nasopharyngeal carcinomas (NPC). Only a few hundred cases have been reported since its discovery. Due to the extreme rareness, its genomic landscape remains elusive. Methods: Tissue samples of 27 PLELC patients (13 males and 14 females) with various stages (Ib to IV) were subjected to targeted sequencing using a panel consisting of 520 cancer-related genes, spanning 1.6Mb of human genome. Results: Collectively, we identified 184 somatic mutations spanning 109 genes, including 107 SNVs, 12 insertions or deletions (INDELs) and 65 copy-number amplifications (CNAs). Approximately, 50% of patients had CNAs. One patient had no mutation detected from this panel. Except for 2 patients, 1 with HER2 amplification and another with KRAS mutation, no other classic NSCLC driver genes were detected. The most frequently mutated genes were CCND1, TP53, DAXX and NF kBIA, occurring in 30%, 26%, 22% and 22% of patients, respectively. Interestingly, 78% (21/27) patients had mutations in epigenetic regulators. Of the 184 mutations identified, 51 occurred in epigenetics-related genes. Pathway analysis also revealed an enrichment of genes participating in chromatin remodeling and organization. Next, we compared the genomic profile of PLELC with lung adenocarcinoma and EBV positive NPC. The frequency of TP53 mutations was significantly higher in lung adenocarcinoma (68% vs 26%, p = 0.021). Comparing to NPC, PLELC had significantly more mutations in epigenetic regulators. TMB analysis revealed a median TMB of 1.6/Mb, significantly lowered than lung adenocarcinomas (p < 0.01). We also assessed PD-L1expression and revealed that 67% had an overexpression of PD-L1. Interestingly, TP53-mutant patients were more likely to associated low PD-L1 expression (p < 0.01). Conclusions: In this study, we elucidated a distinct genomic landscape associated with PLELC with no classic NSCLC driver mutation but an enrichment of mutations in epigenetic regulators. The observation of high expression of PD-L1 and lack of canonical druggable driver mutation raises the potential of immunocheckpoint blockade therapy for PLELC.

Prognostic implications of a molecular classifier derived from whole-exome sequencing in nasopharyngeal carcinoma.

The aim of this study was to use whole‐exome sequencing to derive a molecular classifier for nasopharyngeal carcinoma (NPC) and evaluate its clinical performance. We performed whole‐exome sequencing on 82 primary NPC tumors from Sun Yat‐sen University Cancer Center (Guangzhou cohort) to obtain somatic single‐nucleotide variants, indels, and copy number variants. A novel molecular classifier was then developed and validated in another NPC cohort (Hong Kong cohort, n = 99). Survival analysis was estimated by the Kaplan‐Meier method and compared using the log‐rank test. Cox proportional hazards model was adopted for univariate and multivariate analyses. We identified three prominent NPC genetic subtypes: RAS/PI3K/AKT (based on RAS, AKT1, and PIK3CA mutations), cell‐cycle (based on CDKN2A/CDKN2B deletions, and CDKN1B and CCND1 amplifications), and unclassified (based on dominant mutations in epigenetic regulators, such as KMT2C/2D, or the Notch signaling pathway, such as NOTCH1/2). These subtypes differed in survival analysis, with good, intermediate, and poor progression‐free survival in the unclassified, cell‐cycle, and RAS/PI3K/AKT subgroups, respectively, among the Guangzhou, Hong Kong, and combined cohorts (n = 82, P = 0.0342; n = 99, P = 0.0372; and n = 181, P = 0.0023; log‐rank test). We have uncovered genetic subtypes of NPC with distinct mutations and/or copy number changes, reflecting discrete paths of NPC tumorigenesis and providing a roadmap for developing new prognostic biomarkers and targeted therapies.

Genomic landscape and clonal evolution of acute myeloid leukemia with t(8;21): an international study on 331 patients

AbstractAcute myeloid leukemia with t(8;21)(q22;q22) is characterized by considerable clinical and biological heterogeneity leading to relapse in up to 40% of patients. We sequenced coding regions or hotspot areas of 66 recurrently mutated genes in a cohort of 331 t(8;21) patients. At least 1 mutation, in addition to t(8;21), was identified in 95%, with a mean of 2.2 driver mutations per patient. Recurrent mutations occurred in genes related to RAS/RTK signaling (63.4%), epigenetic regulators (45%), cohesin complex (13.6%), MYC signaling (10.3%), and the spliceosome (7.9%). Our study identified mutations in previously unappreciated genes: GIGYF2, DHX15, and G2E3. Based on high mutant levels, pairwise precedence, and stability at relapse, epigenetic regulator mutations were likely to occur before signaling mutations. In 34% of RAS/RTKmutated patients, we identified multiple mutations in the same pathway. Deep sequencing (∼42 000×) of 126 mutations in 62 complete remission samples from 56 patients identified 16 persisting mutations in 12 patients, of whom 5 lacked RUNX1-RUNX1T1 in quantitative polymerase chain reaction analysis. KIThigh mutations defined by a mutant level ≥25% were associated with inferior relapse-free survival (hazard ratio, 1.96; 95% confidence interval, 1.22-3.15; P = .005). Together with age and white blood cell counts, JAK2, FLT3-internal tandem duplicationhigh, and KIThigh mutations were identified as significant prognostic factors for overall survival in multivariate analysis. Whole-exome sequencing was performed on 19 paired diagnosis, remission, and relapse trios. Exome-wide analysis showed an average of 16 mutations with signs of substantial clonal evolution. Based on the resemblance of diagnosis and relapse pairs, genetically stable (n = 13) and unstable (n = 6) subgroups could be identified.

Whole Exome Sequencing of Ulcerative Colitis-associated Colorectal Cancer Based on Novel Somatic Mutations Identified in Chinese Patients.

Carcinogenesis is a severe consequence of chronic ulcerative colitis. We investigated the somatic mutations and pathway alterations in ulcerative colitis-associated colorectal cancer (CRC) in Chinese patients compared with sporadic CRCs to reveal potential therapeutic targets in ulcerative colitis-associated CRC. Whole exome sequencing was performed on archival tumor tissues and paired adjacent nondysplastic mucosa from 10 ulcerative colitis-associated CRC patients at a high risk of carcinogenesis. Genomic alteration profiles from 223 primary CRCs from The Cancer Genome Atlas served as sporadic CRC controls. A meta-analysis was performed to investigate differences in major genetic mutations between ulcerative colitis-associated and Crohn's disease-associated CRCs. We identified 44 nonsilent recurrent somatic mutations via whole exome sequencing, including 25 deleterious mutations involved in apoptosis and the PI3K-Akt pathway (COL6A3, FN1), autophagy (ULK1), cell adhesion (PODXL, PTPRT, ZFHX4), and epigenetic regulation (ARID1A, NCOR2, KMT2D, NCOA6, MECP2, SUPT6H). In total, 11 of the 25 mutated genes significantly differed between ulcerative colitis-associated CRC and sporadic CRC (APC, APOB, MECP2, NCOR2, NTRK2, PODXL, RABGAP1, SIK3, SUPT6H, ULK1, USP48). Somatic TP53 mutations occurred in 33% of ulcerative colitis-associated CRCs. Subsequent meta-analysis revealed distinct mutation profiles for Crohn's disease- and ulcerative colitis-associated CRCs. Mutations involving the NF-kB pathway and epigenetic regulation were more common in ulcerative colitis-associated CRCs than in sporadic CRCs. Distinct genomic alteration profiles of deleterious somatic mutations were found in ulcerative colitis-associated and sporadic CRCs. Mutations of epigenetic regulators, such as KMT2D and NCOA6, were common, suggesting an epigenetic pathomechanism for colitis-associated carcinoma in Chinese patients.

Sequentially inducible mouse models reveal that Npm1 mutation causes malignant transformation of Dnmt3a-mutant clonal hematopoiesis

Clonal hematopoiesis (CH) is a common aging-associated condition with increased risk of hematologic malignancy. Knowledge of the mechanisms driving evolution from CH to overt malignancy has been hampered by a lack of in vivo models that orthogonally activate mutant alleles. Here, we develop independently regulatable mutations in DNA methyltransferase 3A (Dnmt3a) and nucleophosmin 1 (Npm1), observed in human CH and AML, respectively. We find Dnmt3a mutation expands hematopoietic stem and multipotent progenitor cells (HSC/MPPs), modeling CH. Induction of mutant Npm1 after development of Dnmt3a-mutant CH causes progression to myeloproliferative disorder (MPD), and more aggressive MPD is observed with longer latency between mutations. MPDs uniformly progress to acute myeloid leukemia (AML) following transplant, accompanied by a decrease in HSC/MPPs and an increase in myeloid-restricted progenitors, the latter of which propagate AML in tertiary recipient mice. At a molecular level, progression of CH to MPD is accompanied by selection for mutations activating Ras/Raf/MAPK signaling. Progression to AML is characterized by additional oncogenic signaling mutations (Ptpn11, Pik3r1, Flt3) and/or mutations in epigenetic regulators (Hdac1, Idh1, Arid1a). Together, our study demonstrates that Npm1 mutation drives evolution of Dnmt3a-mutant CH to AML and rate of disease progression is accelerated with longer latency of CH.

Integrative Genome-Scale DNA Methylation Analysis of a Large and Unselected Cohort Reveals 5 Distinct Subtypes of Colorectal Adenocarcinomas

Background & AimsColorectal cancer is an epigenetically heterogeneous disease, however, the extent and spectrum of the CpG island methylator phenotype (CIMP) is not clear.MethodsGenome-scale methylation and transcript expression were measured by DNA Methylation and RNA expression microarray in 216 unselected colorectal cancers, and findings were validated using The Cancer Genome Atlas 450K and RNA sequencing data. Mutations in epigenetic regulators were assessed using CIMP-subtyped Cancer Genome Atlas exomes.ResultsCIMP-high cancers dichotomized into CIMP-H1 and CIMP-H2 based on methylation profile. KRAS mutation was associated significantly with CIMP-H2 cancers, but not CIMP-H1 cancers. Congruent with increasing methylation, there was a stepwise increase in patient age from 62 years in the CIMP-negative subgroup to 75 years in the CIMP-H1 subgroup (P < .0001). CIMP-H1 predominantly comprised consensus molecular subtype 1 cancers (70%) whereas consensus molecular subtype 3 was over-represented in the CIMP-H2 subgroup (55%). Polycomb Repressive Complex-2 (PRC2)-marked loci were subjected to significant gene body methylation in CIMP cancers (P < 1.6 × 10-78). We identified oncogenes susceptible to gene body methylation and Wnt pathway antagonists resistant to gene body methylation. CIMP cluster–specific mutations were observed in chromatin remodeling genes, such as in the SWItch/Sucrose Non-Fermentable and Chromodomain Helicase DNA-Binding gene families.ConclusionsThere are 5 clinically and molecularly distinct subgroups of colorectal cancer. We show a striking association between CIMP and age, sex, and tumor location, and identify a role for gene body methylation in the progression of serrated neoplasia. These data support our recent findings that CIMP is uncommon in young patients and that BRAF mutant polyps in young patients may have limited potential for malignant progression.

Lenalidomide in Combination with CHOP in Patients with Angioimmunoblastic T-Cell Lymphoma (AITL): Final Analysis of Clinical and Molecular Data of a Phase 2 Lysa Study

Lenalidomide in Combination with CHOP in Patients with Angioimmunoblastic T-Cell Lymphoma (AITL): Final Analysis of Clinical and Molecular Data of a Phase 2 Lysa Study

Early Clonal Hematopoiesis Detected in Gata2 heterozygosity By Color-Barcoding of Hematopoietic Stem Cells in Zebrafish

Germline GATA2 haploinsufficiency underlies an inherited syndrome of predisposition to myeloid malignancies. The mechanism by which GATA2 mutations lead to leukemia in children and young adults remains to be determined. We generated gata2b heterozygous mutant zebrafish using CRISPR/Cas9 technology to study this process. We used a color-barcoding system in zebrafish called Zebrabow that labels each hematopoietic stem cell (HSC) born during embryogenesis with a different color. Color-barcoding was induced by a blood-specific promoter-driven Cre recombinase during development at 24 hours post fertilization when there are on average 20 HSC clones. We then examined adult hematopoiesis in wildtype and gata2b+/- zebrafish. Surprisingly, at steady state the marrow of gata2b+/- fish showed color dominance with a single color clone contributing to over 30% of granulocytes, while the myeloid output in wildtype clutchmates was polyclonal. This suggested a baseline oligoclonal state in gata2b+/- hematopoiesis. Gata2b+/- fish also had a concomitant mild myelocytopenia with 20% reduction of myeloid cells in the marrow as early as 2 months post fertilization (mpf), reminescent of monocytopenia often present in GATA2 patients. Myelocytopenia with concurrent expansion of progenitor population was more profound in gata2b-/- fish with up to 4-fold increase of progenitor to myeloid cell ratio at 3mpf. Gata2b-/- fish are adult viable, possibly due to partial compensation by a duplicated gata2a gene. Germline GATA2-associated MDS and AML often harbor additional acquired mutations in epigenetic regulators. To study the effect of somatic mutations in GATA2 heterozygosity, we induced mosaic mutagenesis in wild-type or gata2b+/-embryos by injecting 1-cell embryos with Cas9 mRNA and guide RNAs targeting zebrafish orthologs of ASXL1 and STAG2, both of which have been associated with GATA2 mutations in MDS or AML. The marrow analysis of injected gata2b+/- fish showed an increase of hematopoietic progenitor cells and worse myelocytopenia at 7 mpf compared to control injected wildtype fish (progenitor/myeloid ratio of 1.7, p < 0.05). Single color expansion was observed in over 60% of injected gata2b+/-fish as measured by Shannon index of diversity, and correlated with stag2a and stag2b frame-shift mutations with variant allele fraction of >20%. This mutations result in the predicted loss of at least 2 of the 4 total stag2 alleles. In summary, gata2b deficiency alone results in aberrant hematopoiesis with reduced HSC diversity and myelocytopenia. Mutations in stag2 lead to early enhanced clonal dominance in gata2b+/- but not wildtype fish. Our studies suggest a model in which germline GATA2 mutations lead to a state of reduced HSC diversity during development. Such a state predisposes to clonal events due to acquired mutations in epigenetic regulators resulting in clonal hematopoiesis and myeloid leukemias, establishing a link between abnormal developmental hematopoiesis and leukemia risk later in life. DisclosuresNo relevant conflicts of interest to declare.