Coltro, Giacomo

Introduction: Myelodysplastic syndrome/myeloproliferative neoplasm (MDS/MPN) overlap syndromes consist of 5 distinct WHO-defined entities; namely chronic myelomonocytic leukemia (CMML), atypical chronic myeloid leukemia, BCR/ABL1- (aCML), juvenile myelomonocytic leukemia (JMML), MDS/MPN with ring sideroblasts and thrombocytosis (MDS/MPN-RS-T), and MDS/MPN, unclassifiable (MDS/MPN-U) (Arber et al., Blood 2016). With the notable exception of JMML, a bona fide RASopathy, the other entities are characterized by clinical heterogeneity and molecular diversity. Loss of function TET2 mutations (TET2MT) are common in myeloid neoplasms, especially CMML (60%), and are known leukemogenic drivers. We carried out this study to assess the TET2 mutational landscape and phenotypic correlates in patients with MDS/MPN overlap syndromes. Methods: After approval by the institutional review board, adult patients with WHO defined MDS/MPN overlap syndromes were included; with the exception of JMML. The BM morphology, cytogenetics and 2016, WHO-diagnoses were retrospectively reviewed and all patients underwent targeted next generation sequencing for 29 myeloid-relevant genes, obtained on BM mononuclear cells, at diagnosis, or at first referral, by previously described methods (Patnaik et al., BCJ 2016). Results: Five hundred and four patients were included in the study; including 387 (77%) with CMML, 48 (10%) with MDS/MPN-RS-T, 17 (3%) with aCML and 52 (10%) with MDS/MPN-U. The median age at diagnosis was 71 (range, 18-99) years, and 333 (66%) were male. TET2MT were seen in 212 (42%) patients, with the frequency of other mutations being: ASXL1 45%, SRSF2 40%, NRAS 15%, SF3B1 13%, CBL, RUNX1 and SETBP1 12% each, and JAK2 V617F 11% (Figure B). Among the MDS/MPN overlap syndromes, TET2 was more frequently mutated in CMML (49%) and aCML (47%) compared to MDS/MPN-RS-T (10%) and MDS/MPN-U (15%). The prevalence of patients with TET2MT increased with age, a finding consistent across all MDS/MPN subtypes (Figure C). Overall, 341 TET2MT were identified in 212 patients (mean 1.6 variants/patient, range 0-5): 120 (24%) had >1 TET2MT, while 113 (22%), 5 (1%) and 2 (0.4%) had 2, 3 and 5 mutations, respectively. CMML and aCML patients were more likely to have an age-independent increase in multiple TET2MT (28% and 24%), in comparison to MDS/MPN-RS-T (4%) and MDS/MPN-U (8%). TET2 MT spanned the entire coding sequence and were mostly truncating (78%, Figure A): 59 (17%) were missense, 14 (4%) involved the splice-donor/acceptor sites, 2 (0.5%) were in-frame deletions, 129 (38%) were nonsense, and 137 (40%) were frameshift mutations. Overall, the distribution of TET2MT was superimposable across CMML, aCML, and MDS/MPN-U; the only exception being the absence of splice site mutations in the latter two. One hundred and eighty-seven (55%) TET2MT were secondary to pathogenic single nucleotide variants (SNV), while the remainders were secondary to deletions (25%) and insertions (15%). Transitions comprised the most frequent type of SNV (65%), with the C:G>T:A being the most common (56%). Patients with MDS/MPN overlap syndrome and TET2MT were more likely to have additional gene mutations compared to wild type patients (mean mutation number 3.1 vs 2.1, p<0.0001), with common co-mutations being SRSF2 (51%), ASXL1 (42%), and CBL (17%). The median overall survival (OS) of the entire cohort was 29 (range, 0-170) months; 29 months for CMML, 63 months for MDS/MPN-RS-T, 14 months for aCML, and 25 months for MDS/MPN-U. On univariate analysis, OS was superior in CMML patients with TET2MT (35 months) compared to wild type cases (21 months, p<0.0001, Figure D), and in CMML patients with >1 TET2MT (41 months) in comparison to wild type (21 months, p<0.0001) and single TET2MT (29 months, p=0.0476) cases (Figure E). These observations were not seen in patients with aCML, MDS/MPN-RS-T, and MDS/MPN-U. Conclusion: Our study demonstrates that TET2MT are among the most frequent mutations in patients with MDS/MPN overlap syndromes (42%), especially CMML (49%), with an age-dependent increase in the frequency and number of TET2MT. Mutations in TET2 were found to span the entire coding sequence, with truncating mutations being more common (78%). Importantly, in CMML, TET2MT, including number of TET2MT, were associated with favorable survival outcomes. Figure Disclosures Al-Kali: Astex Pharmaceuticals, Inc.: Research Funding. Patnaik:Stem Line Pharmaceuticals.: Membership on an entity's Board of Directors or advisory committees.

Introduction: Chronic myelomonocytic leukemia (CMML), an aggressive myeloid malignancy, can be categorized into two subtypes, proliferative CMML (pCMML) and dysplastic (dCMML), based on a white blood cell (WBC) count of ≥ 13 x 109/L for the former (Arber et al. Blood 2016). While this WBC cut off is somewhat arbitrary, patients with pCMML have unique phenotypic features and a shorter survival. We carried out this study to assess the genomic, transcriptomic and epigenetic landscapes of these two CMML subtypes. Methods: Peripheral blood (PB) and bone marrow (BM) mononuclear cells (MNC) were obtained from WHO-defined CMML patients. Next generation sequencing (NGS) using a 36-gene panel was performed on 350 patients with Illumina HiSeq4000 platform with median read depth of 400X. RNA sequencing (RNA-seq) was performed on 25 patients by bulk whole transcriptome sequencing using Illumina TruSeq. DNA immunoprecipitation sequencing (DIP-seq) was performed on 18 patients using 5-methylcystocine (5mC), 5-hydroxymethylcytosine (5hmC) and bridging monoclonal antibodies with subsequent paired-end sequencing using HiSeq4000. Chromatin immunoprecipitation sequencing (ChIP-seq) was performed on 30 patients with Illumina HiSeq2500 to a depth of 25 million for histone 3 lysine 4 monomethylation (H3K4me1) and histone 3 lysine 4 trimethylation (H3K4me3) and 50 million reads for histone 3 lysine 27 trimethylation (H3K27me3) and Input per sample. Results: Five hundred and seventy-three patients with WHO defined CMML were included; median age 71 years (range 18-95 years), 67% males. 282 patients had pCMML (49%), while 291 (51%) had dCMML. As pre-defined, patients with pCMML were more likely to have higher absolute monocyte counts (p<0.0001), circulating immature myeloid cells (p<0.0001), PB blasts (p<0.0001), and higher lactate dehydrogenase levels (p=0.03). At last follow up 234 (41%) deaths and 70 (20%) leukemic transformations were documented. The median OS for pCMML vs dCMML in this cohort was 19 months vs 30 months (p<0.0001, Figure 1A) and validated in an independent Austrian cohort (p=0.02). Genomic profiling: NGS performed on 350 patients (BM MNC) revealed a higher frequency of NRAS (35 vs 17%, p=0.004), cumulative RAS pathway (NRAS, KRAS, CBL and PTPN11) (73 vs 47%, p=0.001), ASXL1 (p=0.003) and JAK2V617F (p=0.04) mutations in pCMML relative to dCMML (Figure 1B); while dCMML had a higher frequency of SF3B1 mutations (p=0.02). There were no differences in distribution of TET2 and SRSF2Transcriptomic analysis: RNA-seq was performed on PB MNC from RAS pathway mutant pCMML patients (n=12) and RAS pathway wildtype dCMML patients (n=13). Unsupervised clustering analysis resulted in appropriate segregation revealing distinct expression profiles between disease subtypes (Figure 1C). Compared to dCMML, 3729 genes were significantly differentially upregulated and 2658 genes were differentially downregulated in pCMML. Among genes most highly upregulated were mitotic checkpoint kinases including AURBK, PLK1, PLK2, PLK4 andEpigenetic profiling: ChIP-seq of PB and BM MNC from pCMML (n=18) and dCMML (n=12) patients and healthy, age-matched controls (n=10) revealed a global increase in H3K4me1, without significant differences in H3K4me3 or H3K27me3 occupancies (regardless of stratification by ASXL1 mutational status; 40% ASXL1mt in pCMML, 30% dCMML) in pCMML vs dCMML (Figure 1D). H3K4me1 occupancy was also increased in a sequence-specific manner at the transcription start sites of the aforementioned mitotic kinases (PLK1 and WEE1). DIP-seq was performed on PB MNC to assess global differences in 5-mC and 5-hmC levels, between pCMML (n=9) and dCMML (n=9), with no differences seen between the two subtypes (regardless of TET2 mutational status, 40% TET2mt in each subtype) (Figure 1E). Conclusions: Despite the somewhat arbitrary WBC distinction between pCMML and dCMML, clear phenotypic, genetic, transcriptomic, epigenetic and survival differences exist between the two subtypes, providing strong biological rationale for this distinction. pCMML patients have a higher frequency of oncogenic RAS pathway mutations, a unique transcriptomic profile enriched in mitotic check point kinases and a unique chromatin configuration with global and sequence specific enrichment in H3K4me1, with no significant global differences in 5mC, 5hmC, or H3K4me3 and H3K27me3 occupancy. Figure 1 Disclosures Geissler: AOP: Honoraria; Pfizer: Honoraria; AstraZeneca: Honoraria; Novartis: Honoraria; Celgene: Honoraria; Roche: Honoraria; Abbvie: Honoraria; Ratiopharm: Honoraria; Amgen: Honoraria. Al-Kali:Astex Pharmaceuticals, Inc.: Research Funding. Patnaik:Stem Line Pharmaceuticals.: Membership on an entity's Board of Directors or advisory committees.

Introduction: Isocitrate dehydrogenase 1 and 2 (IDH1/2) are metabolic enzymes in the citric acid cycle, producing alpha-ketoglutarate (αKG). Mutations in specific regions of these genes have been characterized in gliomas, AML and chronic myeloid neoplasms such as MDS and MPN. These mutations produce an oncometabolite 2-hydroxyglutarate (2HG) that disrupts the epigenetic phenotype of myeloid cells promoting oncogenesis. While this process has been characterized for arginine hot spot (R132/R140) mutations, there exist variants of unclear significance (IDHVUS), with potential pathogenic predictions using in silico assessment models. With the availability of mutant IDH inhibitors in practice, it has become important to characterize these VUS. We carried out this study to functionally interrogate potentially pathogenic IDHVUS in MDS and MPN. Methods: After institutional approval, bone marrow (BM) DNA of patients with MDS and MPN, including overlap syndromes were subjected to next generation sequencing (29-gene, including the entire coding region of IDH1/2) by previously described methods (Patnaik et al., BCJ 2016). A sub-set of patients with available plasma [IDH wild type (IDHWT), bona fide IDH mutations (IDHMT) and IDHVUS with predicted pathogenicity (≤0.01% minor allele frequency, and predicted damaging in silico scores)] were submitted for mass spectrometry (LC-MS) based detection of IDH-related metabolites; D and L isomers of 2HG, αKG, and total 2HG. The impact of variations on protein secondary structure was assessed by the GorIV prediction algorithm. Potential alterations within the tertiary structure of the proteins was evaluated by in silico mutagenesis. Results: One hundred and seventeen patients were included in the study; median age 68 years (range, 39-94), 68% male. Of these, 40 (34%) had MDS, 42 (36%) MPN, and 35 (30%) MDS/MPN overlap syndromes. Eighty six (74%) had IDHMT, including n=28 (24%) with IDH1MT (R132C/G/H/S) (11 MDS, 8 MPN, 9 MDS/MPN) and n=59 (50%) with IDH2MT (R140G/Q/W) (22 MDS, 20 MPN, 17 MDS/MPN). IDHVUS were detected in 32 (27%) patients, including 1 IDH1MT patient, and involved IDH1 in 14 (12%) cases and IDH2 in 18 (15%) cases. All IDHVUS were missense, except for a 2 amino acid insertion in IDH2, with the most frequent VUS being IDH1Y183C (7%) and IDH2T352P (7%). While there were no phenotypic differences between IDH1/2MUT and IDH1/2VUS, in comparison to patients with IDH1/2MT, those with IDH1VUS were more likely to have higher WBC counts (median 8.1 vs 3.6 x109/L, p=0.0322), higher neutrophil counts (median 3.3 vs 1.3 x109/L, p=0.0203), and lower BM blast % (median 1 vs 3%, p=0.02061). Compared to IDH1/2MT patients, those with sole IDH1/2VUS more frequently had mutations in SF3B1 (p=0.0167), while they were associated with a lower frequency of SRSF2 mutations (p=0.0002). Interestingly, TET2 mutations were detected in only 5% of patients with IDHMT and 16% of IDHVUS patients, although without reaching statistical significance. LC-MS analysis on 75 plasma samples (n=43 IDHMT, n=9 IDHVUS, n=20 IDHWT, 3 normal) revealed a significant increase in total 2HG levels in IDHMT vs IDHVUS (p=0.0089), and IDHWT (p=0.0020) cases (Figure 2A-D). While there were no significant differences in αKG levels between the groups, the D-2HG enantiomer levels were higher in IDHMT samples vs IDHVUS (p=0.0199) and IDHWT (p=0.0055). On examination of the crystal structures of the IDH genes using PDB, while we observed a direct interaction between R132/R140/R172 and the catalytic core, the IDHVUS were located away from this active center and were hence thought to be allosteric in nature (Figure 2F). These VUS however, did demonstrate predictive steric clashes in the tertiary structure context of IDH1 using the PyMol artificial mutagenesis tool. The absence of wild-type crystal structure for IDH2precluded a similar analysis for IDH2. Median overall survival (OS) of the entire cohort (Figure 1) was 36 (range, 0-190) months, with OS being inferior in IDH1/2MT patients (34 months) vs those with IDH1/2VUS (50 months, p=0.0255). Conclusion: Our study demonstrates that in spite of predictive pathogenicity of IDH1/2VUS using in silico predictive tools and crystal studies, the lack of involvement of the arginine hot spot precludes IDH neomorphic activity, as shown by normal 2HG levels. In addition, in comparison to IDHMT patients, those with IDHVUS had fewer BM blasts and a better survival. Disclosures Patnaik: Stem Line Pharmaceuticals.: Membership on an entity's Board of Directors or advisory committees.

Introduction: Short telomere syndromes (STS) are accelerated aging syndromes affecting hematopoietic, pulmonary, hepatobiliary and/or immunological systems. Clinical assessment of age-appropriate telomere length (TL) is performed using flow cytometry & fluorescence in-situ hybridization (flowFISH). Screening for germline variants in STS-related genes is guided by flowFISH-determined centile categories of TL, with screening recommended for TL <1st centile or 1-10th centile in lymphocytes (L) or granulocytes (G). However, the utility of genetic testing for patients with TL >10th centile and integration of clinical phenotype with flowFISH data in predictive algorithms is currently unclear. Methods: FlowFISH testing was done at reference laboratories in Vancouver (Repeat Diagnostics; Canada) & Johns Hopkins University (JHU, USA). Salient clinical features were pre-determined as, personal history of premature hair greying (onset at age < 30 years), idiopathic pulmonary fibrosis (IPF) or IPF/emphysema overlap (in smokers), cryptogenic cirrhosis or NRH, unexplained cytopenias &/or immunodeficiency, & family history of the above (in >1 1st or 2nd degree relatives). Clinical likelihood score (CLS) was assigned as low (1), intermediate (int, 2) or high (>2), based on the number of aforementioned clinical features present prior to flowFISH testing. Genetic testing was performed using either an in-house or commercial bone marrow failure-specific next generation sequencing (NGS) panel or whole exome sequencing (WES), and data for known variants affecting telomerase or telomeric function (TERT, TERC, DKC1, TINF2, NHP2, NOP10, TCAB1, NAF1, & RTEL1) was recorded. Results: One hundred forty-nine patients at our institution underwent TL assessment at Repeat diagnostics (n=38) and JHU (n=111) laboratories, respectively. Median age was 56 (range: 7-79) years; 88 (59%) being males. Significant family history was present in 40 (27%) patients, while premature greying of hair was present in 13 (9%) patients. Organ-specific clinical features included unexplained cytopenias (n=89, 60%) IPF (n=71, 48%), cryptogenic cirrhosis or NRH (n=21, 14%), & unexplained immunodeficiency (n=14, 9%). CLS stratification included low (n=74, 50%), int (n=54, 36%), & high (n=21, 14%), with higher CLS significantly correlating with lower delta TL for L (p=0.0005) but not G (p=0.3). Genetic testing was performed in 51 (35%) patients (NGS-51, WES-1) among which 13 (26%) patients had a telomere-associated variant; 5 (10%) pathogenic (pv, all TERT). CLS alone was unable to predict likelihood of finding a telomere-associated variant (p=0.4). Based on age-appropriate centile categorization of L & G TL (information for both available in 134 patients), patients were stratified into six groups (table 1). TL <1st centile in L: This group was further divided into two groups; TL<1st centile in both L & G [A1, n=7, CLS low-3 (43%), int-2 (29%), & high-2 (29%)] and TL <1st centile in L and 1-50th centile in G (A2, n=2, CLS low & high) patients. Among the 4 (57%) patients who underwent genetic (NGS-3, WES-1) testing, 3 (75%) had TERTpv in A1 subgroup and 1 A2 subgroup patient had a VUS in TERT.TL <1st centile in G, 1-10th centile in L (n=18): This group included 9 (50%) low, 8 (44%) int and 1 (6) high CLS patients, of which only 1 of 8 NGS-tested patients had TERTpv.TL 1-10th centile in L or G: This group was divided into; 1-10th centile in both L & G [C1, n=28, CLS low-3 (11%), int-14 (50%), high-11(39%)] of whom 8 (22%) underwent NGS with no pathogenic variants but 3 VUS in RTEL1, NAF1 & PARN genes, and 1-10th centile in L, >1-90th centile in G [C2, n=36, CLS low-19 (53%), 16 (44%), 1 (3%)] of whom 8 (22%) underwent NGS with 1 TERTpv and 2 VUS in TINF2TL >10th centile in L & 1-90th centile in G (n=43, 32%): CLS stratification in this group included 27 (63%) low, 12 (28%) int, 4 (9%) high. NGS testing was done in 13 (30%) patients [CLS low-9(69%), int 2(15%), high 2 (15%)], of whom only 2 (15%) had VUS in TINF2 and TERT gene, but no pathogenic variants (figure 1). Conclusion: Our study demonstrates the importance of using a flowFISH assay based predictive algorithm to screen patients with suspected STS for telomere-related genetic alternations, in comparison to a clinical likelihood score. We also demonstrate a limited role for genetic testing in patients with lymphocyte TL >10th centile, regardless of the clinical likelihood score. Disclosures Patnaik: Stem Line Pharmaceuticals.: Membership on an entity's Board of Directors or advisory committees.

Introduction: Germline RUNX1 mutations/deletions result in a Familial Platelet Disorder with propensity to Myeloid Malignancy (FPDMM); an autosomal dominant condition characterized by thrombocytopenia, qualitative platelet defects, and myeloid clonal evolution (MDS and AML). The advent of next generation sequencing (NGS) has allowed detection of clonal cytopenias of unclear significance (CCUS) prior to bone marrow (BM) morphological changes. Somatic RUNX1 mutations (RUNX1MT) can be seen in myeloid malignances, including MDS/MPN overlap syndromes, with an indeterminate prognostic impact. We carried out this study to define the landscape of clonal evolution in FPDMM patients and to compare germline RUNX1MT with somatic mutations. Methods After IRB approval, families with RUNX1MT FPDMM (detected by germline sequencing and deletion/duplication assays) and patients with 2016, WHO-defined MDS/MPN overlap syndromes (except JMML) were included in the study. Index patients with FPDMM underwent BM biopsies and in select cases NGS at diagnosis and then as indicated for follow up, or at disease progression. All MDS/MPN overlap syndrome patients underwent a 29-gene panel NGS assay on BM samples obtained at diagnosis by previously described methods (Patnaik et al., BCJ 2016). Results Eight index patients with FPDMM were included; median age at diagnosis 58 (range, 0-71) years, 3 (38%) males (Figure A). Four (50%) had intragenic deletions involving multiple exons in 3 cases and 2 nucleotides in 1 case, 1 (13%) each had missense, frameshift and splice site mutations, while 1 (13%) patient had a whole gene deletion (Figure C). Notably, in 4 (100%) of 4 patients with large deletions, NGS testing was negative for RUNX1 abnormalities. Four (50%) index patients presented with a myeloid neoplasm; JAK2, SRSF2, ASXL1 mutant CMML, MDS/MPN-U with trisomy 8, AML with del7q and normal karyotype AML (negative NGS). Three (38%) index patients had CCUS at diagnosis with TET2 (67%) being the most common acquired mutation, and others including SRSF2, EZH2, and SF3B1. Cumulatively, myeloid clonal evolution was seen in 7 (88%) patients. Three (38%) index patients (AML-2, CMML-1) underwent allogeneic HCT, and at last follow up were in remission. Median age at myeloid clonal evolution was 61 (range, 4-71) years; median overall survival (OS) from date of myeloid clonal evolution was 12 (range, 7-53) months. For the comparative analysis, 499 patients with MDS/MPN overlap syndromes were included; 382 (77%) with CMML, 48 (10%) with MDS/MPN-RS-T (MDS/MPN with ring sideroblasts and thrombocytosis), 17 (3%) with aCML (atypical CML), and 52 (10%) with MDS-MPN-U (unclassifiable). Median age at diagnosis was 71 (range, 18-99) years, and 329 (66%) were male. RUNX1MT were detected in 57 (11%) patients; 43 (11%) with CMML, 5 (30%) with aCML, and 9 (17%) with MDS-MPN-U. No RUNX1MT were found in MDS-MPN-RS-T. Overall, 62 RUNX1MT were identified in 57 patients, with 52 (39 CMML, 4 aCML, 9 MDS-MPN-U) and 5 (4 CMML, 1 aCML) patients harboring 1 and 2 RUNX1MT, respectively. RUNX1MT spanned the entire coding sequence without specific hotspots (Figure B): 27 (44%) were missense, 2 (3%) involved the splicing sites, 5 (8%) were nonsense and 28 (45%) were frameshift. There was only one RUNX1MT (R273K), seen in both germline and somatic patients (Figures B and C). Compared to wild type patients, RUNX1MT patients with MDS/MPN overlap syndromes had significantly lower platelet counts (median 72 vs 117 x109/L, p<0.0001), without any other phenotypic differences. In the somatic RUNX1MT cohort, co-occurring mutations included ASXL1 (54%), SRSF2 (54%), TET2 (49%), and NRAS (28%), with NRAS (28% vs 13%, p=0.0028), and SRSF2 (54% vs 39%, p=0.0218) mutations clustering with RUNX1MT. Median OS of the entire cohort was 29 (range, 0-170) months. On univariate analysis, while there was a trend for an inferior OS in RUNX1MTvs wild type patients (20 vs 29 months, p=0.0523), the leukemia-free survival was clearly inferior (p=0.0175, Figure D). Conclusion RUNX1 MT FPDMM is a germline predisposition syndrome with a high rate of myeloid clonal evolution (88%), including clonal cytopenias (38%). Germline RUNX1MT have minimal overlap with somatic mutations seen in myeloid malignancies, with NGS testing often missing RUNX1 deletions. Somatic RUNX1MT in myeloid malignancies are significantly associated with thrombocytopenia and an inferior leukemia-free survival. Figure Disclosures Patnaik: Stem Line Pharmaceuticals.: Membership on an entity's Board of Directors or advisory committees.

Abstract Background : Survival prediction in essential thrombocythemia (ET) and polycythemia vera (PV) is currently based on clinically-derived risk variables, including age, thrombosis history and leukocyte count (Blood. 2012;120:1197; Leukemia. 2013;27:1874). We have previously reported on the prognostic contribution of mutations, in both ET and PV (Blood Adv. 2016;1:21). The current study examines the possibility of integrating genetic and clinical information for predicting overall (OS), leukemia-free (LFS) and myelofibrosis-free (MFFS) survival in ET and PV. Methods : Study patients were recruited from the Mayo Clinic, Rochester, MN, USA and the University of Florence, Florence, Italy, based on availability of next-generation sequencing (NGS)-derived mutation information. Diagnoses were according to the 2016 World Health Organization criteria (Blood. 2016;127:2391). NGS-detected coding region variants were filtered through the Exome Aggregation Consortium (ExAC) database and annotated by the Catalogue of Somatic Mutations in Cancer (COSMIC) database as mutants or variants of uncertain significance (VUS). Conventional statistics was employed for outcome analysis and assessment of model performance. Results: 906 molecularly-annotated patients (416 from Mayo and 490 from Florence), including 502 ET and 404 PV cases, were included in the current study. The Mayo/Florence cohorts included 270/232 ET (median age 57/54 years, 60%/59% females) and 146/258 PV (median age 63/58 years, 52%/44% females) patients; median follow-up was 9.9/12.9 years for ET and 10.7/12.4 years for PV; during this time 39%/38% deaths and 4.4%/6.5% leukemic and 16%/33% fibrotic progressions were documented for ET, with the corresponding figures for PV being 50%/26%, 4.8%/3% and 13%/36%. Cytogenetic information was available in 84%/63% ET and 80%/49% PV cases in the Mayo/Florence cohorts. In both Mayo and Florence cohorts, multivariable analysis of mutations identified primarily spliceosome mutations to adversely affect OS (SF3B1 and SRSF2 in ET and SRSF2 in PV) and MFFS (U2AF1 and SF3B1 in ET); in addition, TP53 mutations was associated with leukemic transformation in ET, in both patient cohorts. Other mutations with independently significant contribution, validated in one but not both cohorts, included EZH2 (OS and LFS in ET), IDH2 (OS and LFS in PV) and RUNX1 (LFS in PV and ET). For the purposes of the current study, mutations considered "adverse" for subsequent analysis and development of prognostic models required validation in both Mayo and Florence cohorts. Age-adjusted, all-inclusive multivariable analysis of genetic and clinical variables identified the following as independent risk factors for OS, in both Mayo and Florence cohorts: ET ─ SRSF2/SF3B1 mutations, age >60 years and male sex; PV ─ SRSF2 mutations, age >67 years and leukocyte count ≥11 x 109/l. In addition, multivariable analysis flagged leukocytosis in ET (Florence cohort only) and abnormal karyotype in PV (Mayo cohort only) as additional factors. Development of mutation-enhanced international prognostic systems for ET and PV In order to optimize the number of informative cases, the two Mayo and Florence databases were subsequently combined and subjected to multivariable analysis that confirmed the independent survival effect, in ET, of SRSF2/SF3B1 mutations (HR 2.8, 95% CI 1.8-4.3), age >60 years (HR 6.7, 95% CI 4.8-9.4) and male sex (HR 1.8, 95% CI 1.4-2.4) and, in PV, of SRSF2 mutations (HR 7.0, 95% CI 2.3-17.4), age >60 years (HR 5.7, 95% CI 3.3-10.1), and leukocyte count ≥11 x 109/l (HR 2.4, 95% CI 1.5-3.9); the combined analysis also flagged independent prognostic contribution from abnormal karyotype in PV (HR 2.1, 95% CI 1.1-3.6). HR-weighted risk point allocation resulted in new, mutation-enhanced 4-tiered risk models for ET (MIPSS-ET based on mutations, age and sex; figure 1a) and PV (MIPSS-PV based on mutations, karyotype, leukocyte count and age; figure 1b). Both models displayed high predictive accuracy and were internally validated by bootstrapping. The combined analysis also confirmed the impact of TP53 mutations on LFS (figure 1c) and U2AF1/SF3B1 mutations on MFFS (figure 1d), in ET. Conclusions: Spliceosome mutation information enhances survival prediction in ET and PV and identifies those at risk for fibrotic progression. TP53 mutations predict leukemic transformation in ET. Disclosures No relevant conflicts of interest to declare.

Abstract Background : Thrombosis is a characteristic feature in essential thrombocythemia (ET) and polycythemia vera (PV). Previous studies had focused on thrombotic events occurring after diagnosis and did not always distinguish between arterial and venous thrombosis. Arterial thrombosis in ET has been associated with age >60 years, JAK2 mutations, leukocyte count >11 x 109/l, history of thrombosis and cardiovascular risk factors, and venous thrombosis with male sex (Blood 2011;117:5857). In the current two-enter study, we looked for associations between both driver and other mutations, with first incidences of arterial and venous thrombosis in ET and PV, analyzed together and separately. Methods : Study patients were recruited from the Mayo Clinic, Rochester, MN, USA and the University of Florence, Florence, Italy, based on availability of next-generation sequencing-derived mutation information. Diagnoses were according to the 2016 World Health Organization criteria (Blood. 2016;127:2391). Conventional statistics was employed to examine significance of associations, with separate analysis of arterial vs venous thrombosis, occurring at any time before or after formal diagnosis of ET or PV. For the purposes of the current study, only first events were considered. Results: 906 molecularly-annotated patients (416 from Mayo and 490 from Florence), including 502 ET and 404 PV cases, were included in the current study. The Mayo/Florence cohorts included 270/232 ET (median age 57/54 years, 60%/59% females) and 146/258 PV (median age 63/58 years, 52%/44% females) patients; median follow-up was 9.9/12.9 years for ET and 10.7/12.4 years for PV. Driver mutation distribution in ET was 55% JAK2, 27% CALR, 5% MPL and 13% triple-negative. Most frequent mutations, other than JAK2/CALR/MPL, were TET2 (14%; 11% in ET and 18% in PV) and ASXL1 (13%; 13% in ET and 13% in PV). 301 (33%) patients experienced first time thrombosis, before or after diagnosis, including 152 (30%) in ET and 149 (37%) in PV (p=0.03); arterial events occurred in 174 (19%) patients, including 96 (19%) in ET and 78 (19%) in PV (p=0.9); venous events occurred in 177 (20%) patients, including 82 (16%) in ET and 95 (24%) in PV (p=0.007). The number of vascular events after diagnosis was 174 (19%) for arterial and 154 (17%) for venous thrombosis, with no significant difference between ET and PV. Associations with arterial thrombosis: In multivariable logistic regression analysis that included both ET and PV (n=906), age >60 years (23% vs 16%; OR, 1.6, 95% CI 1.1-2.2) and absence of ASXL1 and RUNX1 mutations (21% vs 9%; OR 2.6, 95% CI 1.4-4.8) were associated with arterial thrombosis; these associations remained significant (or near significant) when ET and PV were analyzed separately; in addition, JAK2 mutations in ET displayed borderline significance (p=0.05). Overall incidence of arterial events in ET was estimated at 27% in the presence of all three risk factors (i.e. older age, presence of JAK2 mutations and absence of ASXL1/RUNX1 mutations), 21% with two risk factors, 13% with one risk factor and 9% in the absence of all three risk factors (p=0.01). Associations with venous thrombosis: In multivariable analysis, including both ET and PV (n=906), JAK2 mutations (p<0.001), higher leukocyte count (p=0.03) and younger age (p=0.04) were identified as being significant. Analysis of ET patients only (n=502) identified JAK2 mutations (p<0.001; OR 2.4, 95% CI 1.4-4.1), absence of SRSF2 mutations (p=0.03) and younger age (p=0.04) as independent risk factors and in PV patients (n=404), higher leukocyte count (p=0.06). Prognostic interaction between JAK2 mutations and age: In ET, the overall frequency of venous events was 27% for young patients with JAK2 mutations vs 13% for older JAK2 mutated cases vs 10% for JAK2 unmutated young patients vs 13% for JAK2 unmutated older patients (p<0.001). The corresponding percentages for arterial events were 20%, 24%, 14% and 19%, respectively (p=0.1). Conclusions: JAK2 mutations contribute to the risk of both venous (younger patients) and arterial (young and older patients) thrombosis, in an age-dependent manner; the association with venous thrombosis might explain the higher incidence of venous thrombosis in PV, compared to ET. Additional studies are required to confirm the observed lower risk of thrombosis in patients with ASXL1, RUNX1 and SRSF2 mutations and provide insight into the underlying biological explanation. Disclosures No relevant conflicts of interest to declare.

Abstract Based on suggestive information from recent epidemiologic data and earlier retrospective studies, we revisited the effect of gender on survival in 1,494 patients with essential thrombocythemia (ET). The primary study population included 904 patients from the Mayo Clinic (median age 58 years; 65% females); risk distribution, according to the international prognostic score for ET (IPSET), was 23% high, 42% intermediate and 35% low. Multivariable analysis that included IPSET‐relevant risk factors identified male sex (HR 1.6, 95% CI 1.3‐2.0), age ≥60 years (HR 4.3, 95% CI 3.4‐5.4) and leukocyte count ≥11 × 10(9)/L (HR 1.5, 95% CI 1.3‐1.9) as independent predictors of shortened survival. These findings were confirmed by analysis of a separate cohort of 590 ET patients (65% females) from the University of Florence, Italy, with corresponding HRs (95% CI) of 1.6 (1.1‐2.5), 4.6 (2.2‐9.5) and 1.8 (1.1‐2.8). The independent prognostic effect of gender was further corroborated by a separate multivariable analysis against IPSET risk categories; HR (95% CI) for the Mayo Clinic/Florence cohorts were 1.5/1.6 (1.2/1.1‐1.8/2.5) for male sex, 6.8/7.5 (5.0/3.1‐9.3/18.3) for IPSET high risk and 2.8/4.1 (2.1/1.8‐3.8/9.5) for IPSET intermediate risk. Furthermore, the survival disadvantage in men was most apparent in IPSET high risk category and in patients older than 60 years. In both patient cohorts, thrombosis history garnered significance in univariate, but not in multivariable analysis. The observations from the current study suggest that women with ET live longer than their male counterparts and that gender might supersede thrombosis history as a risk variable for overall survival.