Abstract: Abstract 1706 The recent study of whole-exome sequencing on MDS has revealed frequent and specific pathway mutations involving multiple components of the RNA splicing machinery, including U2AF35, SRSF2, SF3B1 and ZRSR2. The mutually exclusive manner of these mutations among MDS cases also supported that deregulated RNA splicing contributes to the pathogenesis of MDS. Interestingly, the distribution of these splicing pathway mutations shows a substantial difference with regard to disease subtypes. Thus, the SF3B1 mutations are by far the most frequent in RARS and RCMD-RS cases, and the SRSF2 mutations are more prevalent in CMML. SRSF2 is a member of the SR protein family that is commonly characterized by one or two RNA recognition motifs (RRM) and a signature serine/arginine-rich domains (RS domains). The SR proteins interact with other spliceosome components through their RS domains, among which most extensively characterized are SRSF1 (ASF/SF2) and SRSF2 (SC35). Both SR proteins bind a splicing enhancer site within the 3' target exon and also interact with the U2AF, playing an indispensable role in both constitutive and alternative splicing in most cell types. In fact, the knockout of these genes in mice results in embryonic lethality. There is emerging evidence that establishes a connection between the abnormal expression of SR proteins and the development of cancer, mainly as a result of change in the alternative splicing patterns of key transcripts. Increased expression of SR proteins usually correlates with cancer progression, as shown by elevated expression of SR proteins in ovarian cancer and breast cancer. In spite of the similarity in their functions, both proteins are thought to have distinct roles, especially in the pathogenesis of myeloid malignancies, since we found no SRSF1 mutations among 582 cases with myeloid neoplasms. On the other hand, studies have shown that increased expression of SRSF1 transforms immortal rodent fibroblasts and leads to the formation of sarcomas in nude mice, supporting the notion that SRSF1 is a proto-oncogene, whereas SRSF2 does not have transforming activity, indicating a highly specific role of SRSF1 in this type of cancer. Thus, little is known about the biological mechanism by which the SRSF2 mutations are involved in the pathogenesis of MDS, although the mutations at the P95 site are predicted to cause a significant displacement of the RS domain relative to the domain for RNA binding. So to gain an insight into the functional aspect of SRSF2 mutations, we performed sequencing analysis of mRNAs extracted from mutant (P95H) SRSF2-transduced HeLa cells in which expression of the wild-type and mutant SRSF2 were induced by doxycycline. The abnormal splicing in mutant SRSF2-transduced cells was directly demonstrated by evaluating the read counts in different fractions. Next, to investigate functional role of SRSF2 mutant, HeLa cells were transduced with lentivirus constructs expressing either the P95H SRSF2 mutant or wild-type SRSF2, and cell proliferation was examined. After the induction of gene expression, the mutant SRSF2-transduced cells showed reduced cell proliferation. In addition, we transduced P95H SRSF2 constructs into factor-dependent 32D cell lines. The expression of mutant SRSF2 protein resulted in increased apoptosis in the presence of IL-3 and also suppression of cell growth in the presence of G-CSF, which may be related to ineffective hematopoiesis, a common feature of MDS. To further clarify the biological effect of SRSF2 mutants in vivo, a highly purified hematopoietic stem cell population (CD34-c-Kit+ScaI+ Lin-) prepared from C57BL/6 (B6)-Ly5.1 mouse bone marrow was retrovirally transduced with either the mutant or wild-type SRSF2 with EGFP marking. The transduced cells were mixed with whole bone marrow cells from B6-Ly5.1/5.2 F1 mice, transplanted into lethally irradiated B6-Ly5.2 recipients, and we are now monitoring the ability of these transduced cells to reconstitute the hematopoietic system and other hematological phenotypes. Much remains, however, to be unrevealed about the functional link between the abnormal splicing of RNA species and the phenotype of myelodysplasia. Further functional studies should be warranted to understand these mechanisms in detail. In this meeting, we will present the results of our functional studies on the SRSF2 mutations and discuss the pathogenesis of MDS in terms of the alterations of splicing machinery. Disclosures: No relevant conflicts of interest to declare.

Abstract: RHOA mutations are common in ATLL and show a unique distribution compared with other T-cell lymphomas. Depending on patients, functionally distinct RHOA mutations are clonally selected and involved in the pathogenesis of ATLL.

Abstract: Abstract 782 Recent genetic studies have revealed a number of novel gene mutations in myeloid malignancies, unmasking an unexpected role of deregulated histone modification and DNA methylation in both acute and chronic myeloid neoplasms. However, our knowledge about the spectrum of gene mutations in myeloid neoplasms is still incomplete. In the previous study, we analyzed 29 paired tumor-normal samples with chronic myeloid neoplasms with myelodysplastic features using whole exome sequencing (Yoshida et al., Nature 2011). Although the major discovery was frequent spliceosome mutations tightly associated with myelodysplasia phenotypes, hundreds of unreported gene mutations were also identified, among which we identified recurrent mutations involving STAG2, a core cohesin component, and also two other cohesin components, including STAG1 and PDS5B. Cohesin is a multimeric protein complex conserved across species and is composed of four core subunits, i.e., SMC1, SMC3, RAD21 and STAG proteins, together with several regulatory proteins. Forming a ring-like structure, cohesin is engaged in cohesion of sister chromatids in mitosis, post-replicative DNA repair and regulation of gene expression. To investigate a possible role of cohesin mutations in myeloid leukemogenesis, an additional 534 primary specimens of various myeloid neoplasms was examined for mutations in a total of 9 components of the cohesin and related complexes, using high-throughput sequencing. Copy number alterations in cohesin loci were also interrogated by SNP arrays. In total, 58 mutations and 19 deletions were confirmed by Sanger sequencing in 73 out of 563 primary myeloid neoplasms (13%). Mutations/deletions were found in a variety of myeloid neoplasms, including AML (22/131), CMML (15/86), MDS (26/205) and CML (8/65), with much lower mutation frequencies in MPN (2/76), largely in a mutually exclusive manner. In MDS, mutations were more frequent in RCMD and RAEB (19.5%) but rare in RA, RARS, RCMD-RS and 5q- syndrome (3.4%). Cohesin mutations were significantly associated with poor prognosis in CMML, but not in MDS cases. Cohesin mutations frequently coexisted with other common mutations in myeloid neoplasms, significantly associated with spliceosome mutations. Deep sequencing of these mutant alleles was performed in 19 cases with cohesin mutations. Majority of the cohesin mutations (16/19) existed in the major tumor populations, indicating their early origin during leukemogenesis. Next, we investigated a possible impact of mutations on cohesin functions, where 17 myeloid leukemia cell lines with or without cohesin mutations were examined for expression of each cohesin component and their chromatin-bound fractions. Interestingly, the chromatin-bound fraction of one or more components of cohesin was substantially reduced in cell lines having mutated or defective cohesin components, suggesting substantial loss of cohesin-bound sites on chromatin. Finally, we examined the effect of forced expression of wild-type cohesin on cell proliferation of cohesin-defective cells. Introduction of the wild-type RAD21 and STAG2 suppressed the cell growth of RAD21- (Kasumi-1 and MOLM13) and STAG2-defective (MOLM13) cell lines, respectively, supporting a leukemogenic role of compromised cohesin functions. Less frequent mutations of cohesin components have been described in other cancers, where impaired cohesion and consequent aneuploidy were implicated in oncogenic action. However, 23 cohesin-mutated cases of our cohort had completely normal karyotypes, suggesting that cohesin-mutated cells were not clonally selected because of aneuploidy. Alternatively, a growing body of evidence suggests that cohesin regulate gene expression, arguing for the possibility that cohesin mutations might participate in leukemogenesis through deregulated gene expression. Of additional note, the number of non-silent mutations determined by our whole exome analysis was significantly higher in 6 cohesin-mutated cases compared to non-mutated cases. Since cohesin also participates in post-replicative DNA repair, this may suggest that compromised cohesin function could induce DNA hypermutability and contribute to leukemogenesis. In conclusion, we report a new class of common genetic targets in myeloid malignancies, the cohesin complex. Our findings highlight a possible role of compromised cohesin functions in myeloid leukemogenesis. Disclosures: Haferlach: MLL Munich Leukemia Laboratory: Equity Ownership. Alpermann:MLL Munich Leukemia Laboratory: Employment. Haferlach:MLL Munich Leukemia Laboratory: Equity Ownership.

Abstract: Somatic mutations constitute key pathogenetic elements in MDS. Unbiased whole exome sequencing (WES) and deep NGS led to discovery of new somatic mutations and also to the recognition of i) tremendous diversity of mutations and their combinations; ii) individual intra-tumor heterogeneity and clonal hierarchy. Chromosomal lesions further increase the complexity of molecular defects. While in MDS molecular defects are acquired in order, observations made in AML highlight the importance of ancestral events; e.g., t(8;21), inv16 or t(15;17) and other lesions that are used as the basis for nosological sub-classification. Thus, it is the identity of individual ancestral events or their classes rather than the spectrum of secondary events or the distribution of mutations, that will allow for molecular, functionally-relevant and diagnostically useful classification within MDS. This would explain why only a few somatic mutations have been found to be prognostically important, as their position in the clonal hierarchy has not been accounted for. With this in mind, we applied WES (N=206) and targeted deep NGS (N=836) and studied 100 samples serially with analyses focused on ancestral events. Globally, through WES we identified and validated 2386 mutational events in 1458 genes. Of these, 112 genes were mutated at significant frequencies (q 〈 0.05); groups of affected genes involved in splicing, transcription, DNA methylation, histone modification, and others were distinguished. On average, 9 somatic events per MDS case, 10.7 in secondary AML, and 12.5 in MDS/MPN were found. Resequencing in combination with SNP-array karyotyping provided information on variant allelic frequency (VAF) adjusted for corresponding zygosity of mutations; 99% of cases displayed clear intra-tumor heterogeneity due to multiple clones defined by hierarchically acquired somatic mutational patterns. Using cross-sectional analyses, the highest mean VAF could be interpreted as consistent with the ancestral nature of the mutations, as seen for instance in a proportion of TET2 and SF3B1 mutant cases. In contrast, the lowest mean VAF indicated secondary events, as occur in NPM1 and RAS pathway mutations. Similar conclusions were made based on cross-sectional analyses showing a similar distribution of ancestral but not secondary events in MDS and sAML. All gene mutations were categorized into those that are predominantly ancestral and those that are facultatively secondary. The most frequent founder mutations were identified (TET2, DNMT3A, SF3B1, ASXL1, TP53, U2AF1, RUNX1, SRSF2) and used to sub-classify approximately 80% of patients, with the remainder containing more infrequent ancestral mutations. While in a combined fashion (as both founder and secondary events) many of these mutations were not predictive of prognosis, they gained relevance when only cases affected by ancestral mutations were used for prognostication. Thus some of the mutations, when present as secondary events may not be predictive. Founding mutations may determine subsequent clinical and molecular features. While other frequently affected genes, SF3B1 or ASXL1, are not associated with a significant increase in the number of concomitant mutations, cases with TET2 mutations showed significantly more frequent mutations per case than those with wild-type TET2 (14.6 vs. 9.1; p=0.001). Moreover, ancestral TET2 mutations were associated with concomitant mutations due to high C-to-T transitions, possibly because reduced 5-hydroxymethylcytosine might create the specific mutator milieu. Most important is the association not of any type, but of ancestral mutations with certain pathomorphologic features and outcomes. Founding TET2 mutations are associated with MPN/MDS while secondary TET2 mutations are present in MDS. Ancestral DNMT3A mutations determine a rapid progression to AML, whereas subclonal DNMT3A mutations are also found in high-risk MDS. RAS pathway mutations are ancestral in CMML and also secondarily positive in the late stage of MDS (sAML). Specific ancestral events may determine subsequent mutational events, and while both types of mutation may affect the clinical phenotype, the initial events are less diverse and more subtype-specific. In conclusion, WES clarified the distinct landscape and ordering of the somatic mutational spectrum in MDS. Disclosures No relevant conflicts of interest to declare.

Abstract: MDS and related disorders, including MDS/MPN and sAML that evolved from these conditions constitute disease continuum characterized by a wide spectrum of molecular lesions which often overlap. Here, we defined general mutational spectrum and clonal architecture in a large cohort (n=718) of MDS studied by whole exome sequencing (WES) and target deep sequencing. Within this cohort 97 cases were studied at multiple time points to clarify the clinical impact of clonal dynamics on phenotype commitment or outcomes. All samples were obtained after informed consent, according to protocols approved by the respective ethics boards of the participating institutions. When mean and maximum variant allele frequency (VAF) for whole mutations were at one time-point evaluated in disease phenotypes, significantly higher averaged values suggested their larger clones in sAML and CMML compared to MDS. Clustering analysis of multiple mutational events by Pyclone software discriminated the cases with multiple mutational clones (positive heterogeneity) and those with a single expansion of MDS clone (no heterogeneity detected). Over 80% of low-risk MDS and all the sAML harbored multiple clusters of mutations. These results suggest that intra-tumor heterogeneity of MDS is most likely due to various sizes of clonal and subclonal mutations, likely impacting clinical behavior. To delineate clonal dynamics in MDS, we assessed mutational burden and their temporal changes in serially collected samples (n=97). Among these, Pyclone analysis was applied to exome sequencing at two time points (n=11 pairs). All cases showed various mutational clusters with individual expansions and declines, including initially present, newly acquired or disappearing during clinical course. Initial subclones were identified at disease presentation in 55% of cases, of which in 86% the subclones expanded to occupy whole MDS population with clonal sweep. New subclones acquired during clinical course were identified in 91%, in which 60% cases harbored clonal sweep. Disappearing clones were observed in 55% of cases. Next, we applied clustering analysis on clonal size of driver mutations evaluated at multiple time points (n=97 cases) to categorize the most frequently mutated genes into 3 subtypes. Mutational burden of PTPN11 most frequently increased and were associated with leukemic evolution (an example of type I gene). Similarly, CBL, NRAS, STAG2, RUNX1, and IDH1 were categorized into the type I genes, demonstrating increased clonal size resulting in the evolutions into high-risk phenotypes. Although JAK2 mutations were related to the stable clinical course when the mutational burden decreased, cases with highly expanded JAK2 mutations resulted in leukemic evolution (occasional evolution or expansions; type II gene). DNMT3A, SRSF2, TP53, U2AF1, and ASXL1 mutations were also categorized into such type II consequences with occasional progression. The last category (type III) included clonal/founder genes EZH2, TET2, SF3B1 and PRPF8, demonstrating random shifts of clonal size and lack of association with leukemic evolution. The proposed hierarchical categorization correlates with clinical parameters. Cases with the increasing burden of type I gene mutations showed most significant increases in myeloblasts. Overall survival measured from second sampling time points in the cases with increasing type I mutations was significantly shorter in the whole cohort (HR=2.05, 95%CI; 1.14-3.79, P=0.016) and in the cases solely with IPSS INT-1 (HR=2.37, 95%CI; 1.01-5.97, P=0.048). Subcohorts classified according to the presence or absence of increasing type I mutations did not differ with regard to the IPSS categories. In contrast, increased mutational burden of type II and III genes did not correlated with any of the clinical parameters examined, even though some gene mutations including TP53, EZH2, and U2AF1 represented poor prognostic factors at disease presentation. In conclusion, this work demonstrates that detailed understanding of clonal dynamics allows for new insights into clinical significance of somatic mutations, made possible only by serial sample sequencing at multiple time points. Increasing clonal burden of extracted genes associated with predictive prognostic impact should be prospectively validated in more uniform and larger cohort of MDS. Disclosures Sekeres: TetraLogic: Membership on an entity's Board of Directors or advisory committees; Celgene Corporation: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees. Shih:Novartis: Research Funding.

Abstract: Chromosomal aberrations and somatic mutations constitute key elements of the pathogenesis of myelodysplastic syndromes (MDS), a clonal hematologic malignancy characterized by cytopenias, a dysplastic bone marrow and propensity to clonal evolution. Next generation sequencing (NGS) enables definition of somatic mutational patterns and clonal architecture as a discovery platform, and for clinical applications. We systematically applied NGS to 707 cases of MDS and MDS-related disorders. 205 cases (low-risk MDS: N=78, high-risk MDS: N=42, MDS/MPN: N=48 and sAML: N=37) were tested by whole exome sequencing (WES). For validation in an additional 502 patients (low-risk MDS: N=192, high-risk MDS: N=104, MDS/MPN: N=111 and sAML: N=95), targeted deep NGS was applied for 60 index genes which were most commonly affected in the cohort analyzed by WES. For NGS data analysis a statistical pipeline was developed to focus on: i) identification of the most relevant somatic mutations, and ii) minimization of false positive results. We studied serial samples from 21 exemplary informative patients. We also compared somatic mutational patterns to those seen in primary AML TCGA cohort (N=201). Given the size of the cohort, there was, for example, a 87% chance of seeing mutations at a frequency of 1% and a 98% of seeing those with a frequency of 2%. While focusing on the most common events, we observed 1117 somatic mutations in 199 genes. The 88 genes mutated mutated in 〉 1% of cases with MDS carried 388 mutations in MDS+sAML (2.5/case), 128 in MDS/MPN (2.7/case) and 398 in pAML (2.0/case). The average number of mutations per case increased during progression (2.2 in lower-risk, 2.8 in higher-risk MDS, 3.4 in sAML). In MDS, the 30 most frequently affected genes were present at least once in 70% of patients. The 30 most frequently mutated genes in MDS/MPN were mutated in 82% of patients. Individual mutations were also sub-grouped according to their function. When we compared three MDS subcategories (lower-risk, higher-risk MDS and sAML) in a cross-sectional view, RTK family, RAS family, IDH family and cohesin family mutations were more frequently detected in the sAML group than in the MDS group. In contrast, the frequency of the DNMT family, TET2 and ASXL family gene mutations did not increase in frequency in the sAML cohort. In addition to better definition of mutational patterns of known genes, we have also defined new mutations, including in the RNA helicase family and the BRCC3pathway. Clonal architecture analysis indicates that mutations of TET2, DNMT3A, ASXL1, and U2AF1 most likely represent ancestral/originator events, while those of the IDH family, RTK family and cohesin family are typical secondary events. Establishment of mutational patterns may improve the precision of morphologically-based diagnosis. The comparison between MDS-related diseases (MDS+sAML) and pAML revealed a notably different mutational pattern suggestive of a distinct molecular derivation of these two disease groups. While RTK, IDH family and NPM1 mutations were more frequently observed in the pAML cohort, mutations of SF3B1 and SRSF2, were more common in MDS+sAML. With regard to the connections between individual mutation combinations, RTK mutations were strongly associated with DNMT, but not with RAS family mutations in the pAML cohort, while the mutual association between TET2 and PRC2 family, cohesin family and RUNX1were encountered in the MDS+sAML cohort. Individual mutations may have prognostic significance, including having an impact on survival, either within the entire cohort or within specific subgroups. In the combined MDS cohort, TP53 family mutations were associated with a poor prognosis (HR; 3.65, 95%CI; 1.90-7.01, P 〈 .0001) by univariate analysis. Similar results were found for mutations in TCF4(HR; 7.98, 95%CI; 1.58-10.1, P 〈 .0007). Such an individual approach does not allow for assessment of the impact of less common mutational events. In conclusion, our study continues to indicate the power of NGS in the molecular analysis of MDS. MDS and related disorders show a great deal of pathogenetic molecular overlap, consistent with their morphologic and clinical pictures, but also distinct molecular differences in mutational patterns. Some of the specific mutations are pathognomonic for specific subtypes while some may convey a prognostic rather than discriminatory value. Disclosures: Makishima: Scott Hamilton CARES grant: Research Funding; AA & MDS international foundation: Research Funding. Polprasert:MDS foundation: Research Funding.

Abstract: Myelodysplastic syndromes (MDS) are a heterogeneous group of chronic myeloid neoplasms, in which disease progression is quite common, eventually terminating in secondary acute myeloid leukemia (sAML). To elucidate differential roles of mutations in MDS progression and sAML evolution, we investigated clonal dynamics of somatic mutations using targeted sequencing of 699 MDS patients, of which 122 were analyzed for longitudinally collected samples. Combining publicly available data, mutational data in a total of 2,250 MDS cases were assessed for their enrichment in specific disease subtypes. All samples were obtained after informed consent. Genotyping data from samples with low- (n=1,207) and high-risk (n=683) MDS as well as sAML (n=360) were available for most prevalently mutated 25 driver genes. In univariate comparison between low- and high-risk MDS, the majority of differentially mutated genes were enriched in high-risk MDS, except for SF3B1, which was more frequently mutated in low-risk MDS. Multivariate analysis was performed using a least absolute shrinkage and selection operator model. As a result, mutations in 7 genes (FLT3, PTPN11, WT1, IDH1, NPM1, IDH2,and NRAS) designated as 'Type-1' mutations, were significantly enriched in sAML compared to high-risk MDS. When comparison was made between high- and low-risk MDS, mutations in 10 genes, including GATA2, NRAS, KRAS, IDH2, TP53, RUNX1, STAG2, ASXL1, ZRSR2, and TET2, were enriched in high-risk MDS. The latter mutations are designated as 'Type-2' mutations, excluding NRAS and IDH2 mutations, which were already assigned to the Type-1 category. To characterize the chronological behavior of Type-1 and Type-2 mutations, we performed longitudinal analyses of 122 cases, of which 90 progressed to sAML. Overall, driver mutations tended to increase their clone sizes between two time points. In accordance with their significant enrichment in sAML, Type-1 mutations were more likely to be newly acquired at the second time points, compared to Type-2 and other mutations (P=0.0001). By contrast, in patients with high-risk MDS at the second time point, Type-2 mutations were more dominant than Type-1 mutations, and most of the Type-2 mutations (88%) increased their clone sizes at the second sampling. Similarly, Type-2 mutations found in high-risk MDS or sAML evolving from low-risk MDS increased their clone sizes more frequently (30 out of 38 mutations (79%)) than Type-2 mutations in stable low-risk MDS without disease progression over time (4 out of 11 (36%)) (P=0.02). These findings suggest that Type-1 and Type-2 mutations might be associated with progression from high-risk MDS to sAML and low- to high-risk MDS, respectively. To further clarify the effects of the different classes of mutations on progression to sAML, 429 patients with MDS were analyzed for progression free survival (or PFS). Patients with Type-1 mutations (Group-I) had a significantly shorter PFS, compared to those who had Type-2 mutations but lacked Type-1 mutations (Group-II) (HR=1.82, 95% CI:1.08−3.05; P=0.025). Nevertheless, PFS in Group-II cases was still significantly shorter than that in other cases (HR=2.46, 95% CI:1.43−4.23; P=0.001). Of note, some Group-II cases subsequently acquired Type-I mutations during progression to sAML. By contrast, SF3B1-mutated patients tended to show slower progression to sAML, unless they carried either of Type-1 or 2 mutations (Group-III). Finally, the effects of these mutations on overall survival (OS) were assessed in a larger cohort of patients with MDS (n=1,347). Group-I cases were shown to have a significantly shorter OS than Group-II cases (HR=1.50, 95% CI:1.20−1.86; P 〈 0.001). Other independent prognostic factors included the International Prognostic Scoring System (IPSS) score and the mutational category (i.e., Group-I, -II, and -III) for PFS, while the presence of complex karyotypes, together with IPSS score, Group-I, -7/del(7q), age, and del(20q) were among the negative predictors of OS. In conclusion, our study has elucidated clonal dynamics associated with MDS progression and sAML evolution. Close monitoring of these sets of distinct mutations in the prospective fashion may help in the prediction of the clinical outcome in MDS. Disclosures Makishima: The Yasuda Medical Foundation: Research Funding. Sekeres:Millenium/Takeda: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Meggendorfer:MLL Munich Leukemia Laboratory: Employment. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Ogawa:Kan research institute: Consultancy, Research Funding; Takeda Pharmaceuticals: Consultancy, Research Funding; Sumitomo Dainippon Pharma: Research Funding.

Abstract: Abstract 458 MDS and related disorders comprise a group of myeloid neoplasms characterized by deregulated blood cell production and a predisposition to AML. Although currently, a number of gene alterations have been implicated in the pathogenesis of MDS, they do not fully explain the pathogenesis of MDS, because many of them are also found in other myeloid malignancies and roughly 20% of MDS cases have no known genetic changes. So, in order to clarify a complete registry of gene mutations in MDS and identify those discriminate MDS from other myeloid neoplasms, we performed whole-exome sequencing of 29 cases showing myelodysplasia. A total of 268 somatic mutations or 9.2 mutations per sample were identified. Among these 41 occurred in recurrent gene targets, which not only included a spectrum of known gene targets in MDS, such as TET2, EZH2, NRAS/KRAS, RUNX1, TP53 and DNMT3A, but also affected previously unknown genes that are commonly mapped to the RNA splicing pathway, including U2AF35, SRSF2 and ZRSR2. Together with additional three (SF3A1, SF3B1 and PRPF40B) found in single cases, 16 (55.2%) of the 29 discovery cases carried a mutation affecting the component of the splicing machinery. To confirm the observation, we examined 9 spliceosome genes for mutations in a large set of myeloid neoplasms (N=582) using a high-throughput mutation screen of pooled DNA followed by confirmation/identification of candidate mutations. In total, 219 mutations were identified in 209 out of the 582 specimens of myeloid neoplasms. Mutations of the splicing machinery were highly specific to diseases showing myelodysplastic features, including 19 of 23 (83%) cases with RARS, 43 of 50 (86%) RCMD-RS, 68 of 155 (44%) other MDS, 48 of 88 (55%) CMML, and 16 of 62 (26%) secondary AML with MDS features with a string preference of SF3B1 mutations to RARS and RCMD-RS and of SRSF2 to CMML, while they were rare in cases with de novo AML (N=151) and MPD (N=53). The mutations among 4 genes, U2AF35 (N = 37), SRSF2 (N = 56), SF3B1 (N = 79) and ZRSR2 (N = 23), explained most of the mutations with a much lower mutational rate for SF3A1 (N = 8), PRPF40B (N = 7), U2AF65 (N = 4) and SF1 (N = 5). Interestingly, mutations in the former three genes showed clear hot spots, indicating a gain-of-function nature of these mutations. On the other hand, two thirds of the ZRSR2 mutations are nonsense or frameshift changes causing premature truncation of the protein. Significantly, these mutations occurred in an almost completely mutually exclusive manner among mutated cases, and commonly affected those components of the splicing complex that are engaged in the 3' splice site recognition during RNA splicing, strongly indicating production of unspliced or aberrantly spliced RNA species are incriminated for the pathogenesis of MDS. In fact, when transduced into HeLa cells, the recurrent S34F U2AF35 mutant induced the increase in the production of unspliced RNA species and elicited the activation of the nonsense mediated decay pathway. Functionally, the U2AF35 mutants seemed to cause deregulated stem cell functions, because CD34(−) KSL cells transduced with various U2AF35 mutants invariably showed reduced chimerism in competitive reconstitution assay. In accordance with this, the S34F U2AF35 mutant lead to suppression of cell growth in a variety of cell types, including HeLa cells, in which expression of the mutant induced a G2/M cell cycle arrest and increased apoptosis. In conclusion, whole-exome sequencing unexpectedly revealed the high frequency of the splicing pathway mutations in MDS and related myeloid neoplasms, providing the first evidence indicating that compromised RNA splicing by gene mutations are responsible for human pathogenesis. Disclosures: Haferlach: MLL Munich Leukemia Laboratory: Employment, Equity Ownership.

Abstract: The ecotropic viral integration site-1 (Evi-1) was first identified as a gene located at the integration site of an ecotropic retrovirus leading to murine myeloid leukemia. Since its identification, Evi-1 has been recognized as one of the dominant oncogenes associated with human myeloid leukemia and myelodysplastic syndrome. Evi-1 is a member of the SET/PR domain family of transcription factors and it contains two separated zinc-finger DNA-binding domains, which recognize cognate DNA sequences respectively. Recently, it was shown that Evi-1 is predominantly expressed in hematopoietic stem cells (HSCs), and HSC activity is significantly impaired in Evi-1-deficient embryos, which succumb to the multiple organ defects before birth. In order to investigate a role of Evi-1 in adult hematopoiesis, we generated the mutant mice harboring Cre recombinase recognition sites (loxP sites) flanking exon 4 of the Evi-1 gene (Evi1flox/flox), together with the mice in which the same region was completely deleted (Evi-1−/−). Evi-1−/− mice died around embryonic day 13–16. In Evi-1−/− embryos, Lineage−Sca1+cKit+ cells (LSK cells) and colony forming cells were severely reduced. Furthermore, Evi-1−/− fetal liver cells could not reconstitute hematopoiesis of sublethally irradiated mice in the transplantation experiments, indicating an apparent defect in hematopietic stem/progenitor cells. In contrast, more committed cells was unaffected in Evi-1−/− fetal liver. Then, we ablated Evi-1 by breeding Evi-1flox/flox mice with mice expressing Cre-recombinase under the control of the Tie2 promoter and enhancer, a marker of endothelial and hematopoietic stem cells. These mice virtually phenocopied Evi-1−/− mice, demonstrating that Evi-1 function is distinctly required in Tie2+ cells to establish HSCs. Next, we assessed the requirement of Evi-1 in adult hematopoiesis using an interferon (IFN) -inducible Mx-Cre gene-targeting method, in which floxed alleles can be effectively deleted in hematopoietic cells upon injection of IFN-inducer pIpC. Immediately upon injection of pIpC, platelet counts modestly declined in Evi-1flox/flox/Mx-Cre mice, while white blood cell counts or hemoglobin levels were not affected. Platelet recovery after 5FU-treatment is also delayed in Evi-1-deficient mice compared to the control mice. Furthermore, two weeks after pIpC infection, LSK cells in Evi-1-deficient mice decreased to about half the number of those in the control mice. By 10 weeks, however, LSK cells in these mice began to recover. At this time point, a majority of hematopoietic cells in the bone marrow retained the intact Evi-1 alleles, suggesting that HSCs can not maintain hematopoiesis in the absence of Evi-1 and are outcompeted by a fraction of HSCs that escaped Cre-mediated Evi-1 exicision. Together, these results show that Evi-1 plays an indispensable role not only in the establishment of HSCs during embryogenesis but also in the maintenance of HSCs in adults.

Abstract: DNA hypermethylation has long been implicated in the pathogenesis of myelodysplastic syndromes (MDS) and also highlighted by the frequent efficacy of demethylating agents to this disease. Meanwhile, recent genetic studies in MDS have revealed high frequency of somatic mutations involving epigenetic regulators, suggesting a causative link between gene mutations and epigenetic alterations in MDS. The accumulation of genetic and epigenetic alterations promotes tumorigenesis, hypomethylating agents such as Azacitidine exert their therapeutic effect through inhibition of DNA methylation. However, the relationship between patterns of epigenetic phenotypes and mutations, as well as their impact on therapy, has not been clarified. To address this issue, we performed genome-wide DNA methylation profiling (Infinium 450K) in combination with targeted-deep sequencing of 104 genes for somatic mutations in 291 patients with MDS. Beta-mixture quantile normalization was performed for correcting probe design bias in Illumina Infinium 450k DNA methylation data. Of the 〉 480,000 probes on the methylation chip, we selected probes using the following steps: (i) probes annotated with "Promotor_Associated" or "Promoter_Associated_Cell_type_specific; (ii) probes designed in "Island", "N_Shore" or "S_Shore"; (iii) removing probes designed on the X and Y chormosomes; (iv) removing probes with 〉 10% of missing value. Consensus clustering was performed utilizing the hierarchical clustering based on Ward and Pearson correlation algorithms with 1000 iterations on the top 0.5% (2,000) of probes showing high variation by median absolute deviation across the dataset using Bioconductor package Consensus cluster plus. The number of cluster was determined by relative change in area under cumulative distribution function curve by consensus clustering. Unsupervised clustering analysis of DNA methylation revealed 3 subtypes of MDS, M1-M3, showing discrete methylation profiles with characteristic gene mutations and cytogenetics. The M1 subtype (n=121) showed a high frequency of SF3B1 mutations, exhibiting the best clinical outcome, whereas the M2 subtype (n=106), characterized by frequent ASXL1, TP53 mutations and high-risk cytogenetics, showed the shortest overall survival with the hazard ratios of 3.4 (95% CI:1.9-6.0) and 2.2 (95% CI:1.2-4.0) compared to M1 and M3, respectively. Finally, the M3 subtype (n=64) was highly enriched (70% of cases) for biallelic alterations of TET2 and showed the highest level of CpG island methylation and showed an intermediate survival. In the current cohort, we had 47 patients who were treated with demethylating agents, including 11 responders and 36 non-responders. When DNA methylation status at diagnosis was evaluated in terms of response to demethylating agents, we identified 54 differentiated methylated genes showing 〉 20% difference in mean methylation levels between responders and non-responders (q 〈 0.1). Twenty-five genes more methylated in responders were enriched in functional pathways such as chemokine receptor and genes with EGF-like domain, whereas 29 less methylated gene in responders were in the gene set related to regulation of cell proliferation. Genetic alterations were also assessed how they affected treatment responses. In responders, TET2 mutated patients tended to more frequently respond (45% vs 34%), whereas patients with IDH1/2 and DNMT3A mutations were less frequently altered (0% vs 14%, 9% vs 14%) in responders, compared in non-responders. In conclusion, our combined genetic and methylation analysis unmasked previously unrecognized associations between gene mutations and DNA methylation, suggesting a causative link in between. We identified correlations between genetic/epigenetic profiles and the response to demethylating agents, which however, needs further investigation to clarify the mechanism of and predict response to demethylation agents in MDS. Disclosures Alpermann: MLL Munich Leukemia Laboratory: Employment. Nadarajah:MLL Munich Leukemia Laboratory: Employment. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Kiyoi:Taisho Toyama Pharmaceutical Co., Ltd.: Research Funding; Novartis Pharma K.k.: Research Funding; Pfizer Inc.: Research Funding; Takeda Pharmaceutical Co.,Ltd.: Research Funding; MSD K.K.: Research Funding; Sumitomo Dainippon Pharma Co., Ltd.: Research Funding; Alexion Pharmaceuticals.: Research Funding; Teijin Ltd.: Research Funding; Zenyaku Kogyo Company,Ltd.: Research Funding; FUJIFILM RI Pharma Co.,Ltd.: Patents & Royalties, Research Funding; Nippon Shinyaku Co.,Ltd.: Research Funding; Japan Blood Products Organization.: Research Funding; Eisai Co.,Ltd.: Research Funding; Yakult Honsha Co.,Ltd.: Research Funding; Astellas Pharma Inc.: Consultancy, Research Funding; Kyowa-Hakko Kirin Co.,Ltd.: Consultancy, Research Funding; Fujifilm Corporation.: Patents & Royalties, Research Funding; Nippon Boehringer Ingelheim Co., Ltd.: Research Funding; Bristol-Myers Squibb.: Research Funding; Chugai Pharmaceutical Co.,LTD.: Research Funding; Mochida Pharmaceutical Co.,Ltd.: Research Funding. Kobayashi:Gilead Sciences: Research Funding. Naoe:Toyama Chemical CO., LTD.: Research Funding; Otsuka Pharmaceutical Co., Ltd.: Research Funding; Nippon Boehringer Ingelheim Co., Ltd.: Research Funding; Kyowa Hakko Kirin Co., Ltd.: Patents & Royalties, Research Funding; Pfizer Inc.: Research Funding; Astellas Pharma Inc.: Research Funding; FUJIFILM Corporation: Patents & Royalties, Research Funding; Celgene K.K.: Research Funding; Chugai Pharmaceutical Co., Ltd.: Patents & Royalties. Kern:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Miyazaki:Chugai: Honoraria, Research Funding; Shin-bio: Honoraria; Sumitomo Dainippon: Honoraria; Celgene Japan: Honoraria; Kyowa-Kirin: Honoraria, Research Funding.