Citations

Abstract Chronic lymphocytic leukemia (CLL) is characterized by the existence of subsets of patients with (quasi)identical, stereotyped B-cell receptor (BcR) immunoglobulins. Patients in certain major stereotyped subsets often display remarkably consistent clinicobiological profiles, suggesting that the study of BcR immunoglobulin stereotypy in CLL has important implications for understanding disease pathophysiology and refining clinical decision-making. Nevertheless, several issues remain open, especially pertaining to the actual frequency of BcR immunoglobulin stereotypy and major subsets, as well as the existence of higher-order connections between individual subsets. To address these issues, we investigated clonotypic IGHV-IGHD-IGHJ gene rearrangements in a series of 29 856 patients with CLL, by far the largest series worldwide. We report that the stereotyped fraction of CLL peaks at 41% of the entire cohort and that all 19 previously identified major subsets retained their relative size and ranking, while 10 new ones emerged; overall, major stereotyped subsets had a cumulative frequency of 13.5%. Higher-level relationships were evident between subsets, particularly for major stereotyped subsets with unmutated IGHV genes (U-CLL), for which close relations with other subsets, termed “satellites,” were identified. Satellite subsets accounted for 3% of the entire cohort. These results confirm our previous notion that major subsets can be robustly identified and are consistent in relative size, hence representing distinct disease variants amenable to compartmentalized research with the potential of overcoming the pronounced heterogeneity of CLL. Furthermore, the existence of satellite subsets reveals a novel aspect of repertoire restriction with implications for refined molecular classification of CLL.

Abstract Background Myelodysplastic syndromes (MDS) and chronic myelomonocytic leukemia (CMML) are mainly diagnosed based on morphological changes in the bone marrow. The diagnosis can be challenging in patients (pts) with pancytopenia with minimal dysplasia, and is subject to inter-observer variability. Somatic mutations can be identified in either disease but no genes, in isolation or in combination, are specific for disease phenotype. We developed a geno-clinical model that uses mutational data, peripheral blood values, and clinical variables to predict an MDS vs. CMML diagnosis in pts who presented with cytopenias, in the absence of bone marrow biopsy results. Method We combined genomic and clinical data from 1897 pts treated at our institution (593) and the Munich Leukemia Laboratory (1304). Pts were diagnosed with MDS or CMML according to 2008 WHO criteria. Diagnosis of MDS and CMML was confirmed by independent hematopathologists that were not associated with the study. A genomic panel of 40 genes commonly mutated in myeloid malignancies was included. The initial cohort was randomly (computer generated) divided into learner (80%) and validation (20%) cohorts. Multiple machine learning algorithms were applied to predict the phenotype. Feature extraction algorithms were used to extract genomic/clinical variables that impacted the algorithm decision and to visualize the impact of each variable on phenotype. Prediction performance was evaluated according to the area under the curve of the receiver operator characteristic (ROC-AUC) and confusion/accuracy matrices. Results Of 1897 pts included, 1368 pts had MDS and 529 had CMML. The median age for the entire cohort was 72 years (range, 11-102); 37% were female. The median white blood cell count (WBC) was 5.1x109/L (range, 0.60-176), absolute monocyte count (AMC) 0.19 x109/L (range, 0-96), absolute lymphocyte count (ALC) 0.77x109/L (range, 0-62), absolute neutrophil count (ANC) 2.44x109/L (range, 0-170), hemoglobin (Hgb) 10.2 (range, 3.9-19.6), and platelet (Plt) count 111x103/mL (range 2-1491). The most commonly mutated genes in all pts were: TET2 (33%), ASXL1 (26%), SF3B1 (21%), SRSF2 (16%), RUNX1 (12%), DNMT3A (10%), CBL (7%), U2AF1 (7%), STAG2 (6%), EZH2 (6%), ZRSR2 (6%), NRAS (6%). In CMML, they were: TET2 (51%), ASXL1 (43%), SRSF2 (25%), RUNX1 (18%), CBL (16%), KRAS (12%), NRAS (11%), EZH2 (9%), JAK2 (6%), U2AF1 (5%), SF3B1 (4%), and DNMT3A (3%). In MDS, they were: TET2 (27%), SF3B1 (24%), ASXL1 (21%), SRSF2 (13%), DNMT3A (12%), RUNX1 (10%), STAG2 (8%), U2AF1 (8%), ZRSR2 (7%), TP53 (7%), BCOR (5%), and EZH2 (5%).The median total number of mutations/sample was 2 (range 0-27) for all pts, 2 (range 0-8) for CMML, and 2 (range 0-27) for MDS. A set of 83 genomic/clinical variables were evaluated and several feature extraction algorithms were used to identify the least number of variables that have the most significant impact on the algorithm's decision. These variables included: AMC, ALC, TET2, ANC, ASXL1, SF3B1, Hgb, number of mutations/sample, AEC, age, Plt, splenomegaly, RUNX1, NRAS, CBL, U2AF1, STAG2, DNMT3A, TP53, EZH2, SRSF2, and ZRSR2, Figure 1. When applying the model to the validation cohort, the ROC-AUC was .98 with an accuracy of 94%, with other statistical values as follows: specificities CMML 93%, MDS 96%; sensitivities CMML 96%, MDS 93%; positive predictive values CMML 84%, MDS 98%; negative predictive values CMML 98%, MDS 84%. Individual pt data can also be entered into the model, with a probability of whether the diagnosis is MDS vs. CMML provided along with the impact of each variable on the decision, as shown in Figure 1. When the analysis was restricted to mutations only, the accuracy of the model dropped dramatically (77%, ROC-AUC .85). Conclusions We propose a novel approach using interpretable, individualized modeling to predict MDS vs. CMML phenotypes based on genomic and clinical data without the need for bone marrow biopsy data. This approach can aid clinicians and hematopathologists when encountering pts with cytopenias and a diagnosis suspicious for MDS vs. CMML. The model also provides feature attributions that allow for quantitative understanding of the complex interplay among genotype, clinical variables, and phenotype. Disclosures Sekeres: Celgene: Membership on an entity's Board of Directors or advisory committees; Opsona: Membership on an entity's Board of Directors or advisory committees; Opsona: 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. Walter:MLL Munich Leukemia Laboratory: Employment. Hutter:MLL Munich Leukemia Laboratory: Employment. Savona:Boehringer Ingelheim: Consultancy; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Incyte: Membership on an entity's Board of Directors or advisory committees, Research Funding. Gerds:CTI Biopharma: Consultancy; Celgene: Consultancy; Apexx Oncology: Consultancy; Incyte: Consultancy. Sallman:Celgene: Research Funding, Speakers Bureau. Komrokji:Celgene: Honoraria, Research Funding; Novartis: Honoraria, Speakers Bureau; Celgene: Honoraria, Research Funding; Novartis: Honoraria, Speakers Bureau; Novartis: Honoraria, Speakers Bureau; Novartis: Honoraria, Speakers Bureau. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Maciejewski:Apellis Pharmaceuticals: Consultancy; Ra Pharmaceuticals, Inc: Consultancy; Apellis Pharmaceuticals: Consultancy; Ra Pharmaceuticals, Inc: Consultancy; Alexion Pharmaceuticals, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Alexion Pharmaceuticals, Inc.: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Nazha:MEI: Consultancy.

Abstract Myeloproliferative disorders (MPD) are a group of heterogeneous diseases that include polycythemia vera (PV), essential thrombocythemia (ET), and primary myelofibrosis (PMF). They are characterized by increased hematopoiesis leading to elevated numbers of non-lymphoid cells and/or platelets in the peripheral blood. Beside thrombotic and hemorrhagic complications, MPD may evolve into secondary acute myeloid leukemia (sAML). Recently characterized markers suggest an opportunity to diagnose and identify subpopulations of MPD patients. In particular, altered expression and point mutations of PRV-1, MPL and JAK2 were commonly found in MPD, as well as deletions on chromosome 20q (del20q). Acquired uniparental disomy (UPD) on chromosome 1p (1pUPD) and 9p (9pUPD) leading to copy-neutral loss of heterozygosity (LOH) is a further mechanism found in MPD which often leads to homozygous activated mutations of MPL and JAK2, respectively. However, the molecular mechanisms involved in the transformation process to sAML remains unclear. Using standard metaphase cytogenetics (MC), chromosomal abnormalities are found in only a proportion of patients with MPD. We hypothesized that with new precise methods more genomic lesions can be uncovered that may be associated with leukemic transformation. To address this issue, we used 250K single nucleotide polymorphisms (SNP) Chip arrays to study chromosomal lesions in 40 sAML samples from patients who evolved from MPD; 7 had preexisting PV, 25 PMF, and 8 ET. Moreover, 43 additional samples of MPD (10 PV, 17 ET, and 16 PMF) were included in this study. SNP-chip analysis showed major chromosomal changes in almost all the sAML samples including monosomy 16, deletions of 1q-, 3p-, 6p-, 5q-, 7q-, 9q-, 12p-, 6q-, 3q-, 17p-, 19q-, and 20q- as well as trisomy 2, 3, 8, 9, 12, 15, 19, 21, and 22. We validated these data by MC. However, numerous new genomic alterations which contained potentially interesting genes that might contribute to leukemic transformation were detected by SNP Chip Array in patient samples with normal karyotype. Moreover, UPD was very frequent: 44% (19/43) of MPD and 53 % (21/40) sAML samples. 1pUPD occurred in 5 patients with MPD (1PV, 4 PMF; 12 %) compared to 5 patients with sAML (1 PV, 4 PMF; 13 %). 9pUPD was found in 16 MPD patients (8 PV, 7 PMF, 1 ET; 37%) and 6 sAML patients (3 PV, 2 PMF, 1ET; 15 %). All patients with 9pUPD proved to be positive for the JAK2 V617F mutation seen by allele specific PCR. Interestingly, the MPD samples only had UPD on 1p, 9p, and 12q. In contrast, sAML samples showed additional UPD regions on 7q, 11q, 12q, 16p, 17p, 19q, and 21q. Beside the evaluation of the non-matching groups of patients with MPD and sAML, we also evaluated 4 patients during their PMF and sAML stages by SNP Chip. The sAML samples acquired additional genomic changes including trisomy 8, 10, 14, 19, duplication on 3q and 6p, and heterozygote deletion on 18q. In contrast, 1pUPD, 9pUPD, and 12qUPD were detected in both MPD and sAML matching samples, suggesting that these changes do not play an immediate role in causing transformation. In conclusion, we detected chromosomal regions possessing genes which may be involved in the leukemic transformation of MPD patients.

Abstract Abstract 3895 Poster Board III-831 A genome-wide single nucleotide polymorphism (SNP) screen led to the identification of 11q aUPD in patients diagnosed with various subtypes of myeloproliferative neoplasms (MPN), e.g. chronic myelomonocytic leukemia (CMML), atypical chronic myeloid leukemia (aCML) and myelofibrosis (MF) (Grand et al., Blood 2009;113:6182). Further molecular analyses revealed acquired activating point and length mutations in CBL exons 8 and 9 in 10% of CMML, 8% of aCML and 6% of MF cases. Most variants were missense substitutions in the RING or linker domains that abrogated CBL ubiquitin ligase activity and conferred a proliferative advantage to 32D cells overexpressing FLT3. In this study, 160 patients with BCR-ABL and JAK2 V617F negative MPNs were screened for CBL mutations by PCR and direct sequencing. Eighteen known (Y371H, L380P [2x], C381R, C381Y [2x], C384Y, C396Y, H398P, H398Q, W408C, P417H, F418L, R420Q [5x]) and four new (F378L, G397V, I423N, V430M) missense mutations affecting fourteen residues were identified in 20 patients. Two patients harbored two different mutations. The clinical phenotype could be characterized more precisely in 17 patients. Median age was 68 years (range 59–85) with a slight female predominance (f, n=10; m, n=7). Striking hematological features were leukocytosis (14/17; 82%; median 29,000/μl, range 4,500-141,000) with continuously left-shifted granulopoiesis (blasts, promyelocytes, myelocytes, metamyelocytes) in 85% and elevated monocytes (median 2,500/μl, range 630-10,656) >1,000/μL in 88% (15/17) of patients. Eosinophilia (>1,500/μL) was rare (3/17, 18%). Anemia (normal values: f, Hb <12g/dL; m, Hb <14g/dL) was present in all 17 patients (f, median 10g/dL, range 8.7-11.8; m, median 11.2g/dL, range 8.6-12.9). Platelets did not exceed 300,000/μL in any patient while 11/17 (65%) patients presented with thrombocytopenia (median 125,000/μL, range 18,000-271,000). Splenomegaly was present in 11/17 patients (65%) and LDH was elevated (median 304U/L, range 189-729) in 9/17 patients (52%). Bone marrow histology and immunohistochemistry were available from 12 patients. Relevant features were hypercellularity, marked granulopoiesis and microlobulated megakaryocytes without clusters in 11/12 patients (92%), respectively. Increased fibres were seen in 8/12 (67%) patients of whom one showed severe fibrosis. Clinical follow-up was available from 17 patients. Thirteen patients (76%) have died because of progression to secondary acute myeloid leukemia/blast phase (n=7), cytopenia-related complications (n=2) or for unknown reasons (n=4) after a median of 23 months (range 3-60) following diagnosis. In conclusion, point mutations of CBL exons 8 and 9 are present in approximately 6-12% of BCR-ABL and JAK2 V617F negative MPNs. They are associated with a distinct clinical and hematological phenotype presenting with myeloproliferative features allowing diagnosis of a proliferative subtype of CMML rather than aCML or MF in the majority of cases. Patients with left-shifted leukocytosis, monocytosis, anemia and lack of thrombocytosis who are negative for BCR-ABL and point or length mutations of JAK2 should be routinely screened for CBL mutations. Disclosures: No relevant conflicts of interest to declare.

Abstract Abstract 2922 The myelodysplastic syndromes (MDS) are a heterogeneous group of hematological malignancies characterized by ineffective hematopoiesis and a highly variable clinical course, for which novel treatments are beginning to emerge. Conventional cytogenetic studies (CCS) of bone marrow (BM) are routinely used in clinical practice to detect abnormal clones in proliferating (metaphase) cells, identifying clonal aberrations in ∼50% of de novo MDS cases. Cytogenetics is also one of the key International Prognostic Scoring System (IPSS) components used to estimate overall survival and leukemia-free survival in MDS. Chromosome abnormalities may be quantified at presentation and during treatment by the use of fluorescence in situ hybridization (FISH) with DNA probes for specific chromosome loci (e.g., chromosomes 5, 7, 8 and 20) in non-proliferating (interphase) nuclei. However, it is not clear whether or not peripheral blood CCS will yield the same diagnostic and prognostic data as bone marrow CCS at disease presentation or whether patients without apparent chromosome abnormalities by CCS have “hidden” abnormalities that can be identified by interphase FISH. To answer these questions, 15 members of the International Working Group on MDS Cytogenetics agreed to perform CCS and FISH in parallel on both peripheral blood and bone marrow samples collected from MDS patients. To be certain that all participating sites scored and interpreted their individual FISH data in a similar fashion, a quality assurance (QA) study was completed with each site studying two identical test (proficiency) samples. Concordance among sites was very good to excellent allowing for the establishment of a standardized protocol with clear scoring criteria before patient samples were processed. In the second phase of the study, a total of 77 MDS patients were accrued to the study with 61% showing an abnormal karyotype. A FISH panel consisting of eight probe sets [-5/5q-, -7/7q-/der(1;7), +8/8q-, -11/+11/11q-/add(11q), 12p-/+21/t(12;21), -13/13q-, 17p- and 20q-/i(20q)/i(20p), Abbott Molecular, Inc.] was performed on both specimen types. While CCS was frequently unsuccessful (57.5%) in the PB specimens, FISH was informative (concordant with BM/PB CCS) in 92% of cases, with 49% of PB FISH demonstrating an abnormal clone. FISH was discordant in 4 of 77 BM and PB samples (5%), while CCS and FISH on BM and PB were discordant in 6 of 77 BM specimens (8%) and 6 of 73 PB specimens (8%). The data suggest that evaluation of interphase nuclei from PB on follow-up (non-diagnostic) FISH studies on MDS patients will be equally informative (and less costly and stressful) as a BM sample. Disclosures: Slovak: PerkinElmer: Employment. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership, Research Funding. Ohyashiki:Nippon Shinyaku Co., Ltd.: Research Funding.

Abstract Abstract 1280 Poster Board I-302 Philadelphia-chromosome negative myeloproliferative neoplasms (MPNs) including polycythemia vera (PV), essential thrombocytosis (ET), and primary myelofibrosis (PMF) are defined as clonal hematopoietic stem cell disorders. These disorders show an inherent tendency for transformation into leukemia (MPN-blast phase) which is hypothesized to be accompanied by acquisition of additional genomic lesions. We, therefore, obtained a comprehensive profile of genomic alterations associated with leukemic transformation by using single-nucleotide polymorphism (SNP) array in 88 MPN patients, as well as 71 cases with MPN-blast phase, and correlated these findings with their clinical parameters. A relatively high number of genomic alterations was found in MPN after leukemic transformation with 4.6 ± 0.6 abnormalities per sample compared to only 1.4 ± 0.2 changes per patient in chronic phase (p<0.001). Compared to the cytogenetic data, SNP-chip analysis detected about 47% additional chromosomal changes in the MPN samples, and 31% more in the MPN-blast phase cases, whereas SNP-array allelokaryotyping practically captured all cytogenetic abnormalities in our study population. Several additionally altered regions were detected in patients with MPN-blast phase compared to chronic phase, including both deletion and copy-number neutral-loss of heterozygosity (CNN-LOH) on chromosome 12p (9%) and 21q (9%), involving ETV6 and RUNX1. Notably, deletion and CNN-LOH on 17p involving TP53 were diagnosed in 18% of MPN-blast phase samples, which was highly associated with preceding treatment with alkylating agents (p=0.016). Moreover, trisomy 8, as well as amplification of 8q24.21 involving the MYC gene, were detected in 13% of patients with MPN-blast phase who were almost exclusively negative for the JAK2V617F mutation. Genome-wide inspection of further critical regions with promising new candidate genes involved in the evolution to the MPN-leukemic phase included deletion and CNN-LOH on 7q22.1 (SH2B2) in 18%, duplication/amplification on 19p13.2 (PIN1, ICAM1, CDC37) in 13% and 21q22.2 (ERG) in 9% of MPN patients with blast crisis. In contrast, we detected a decreased frequency of JAK2V617F in MPN-blast phase samples (52%) compared to chronic phase (71%). Also, the percentage of patients with homozygous mutant JAK2 as a result of CNN-LOH was lower in the MPN-blast phase (43%) compared to the chronic phase (53%). Taken together, the data suggest that gain-of-function mutation of JAK2 is not a perquisite for leukemic transformation. Remarkably, CNN-LOH on either 7q or 9p was related to decreased survival after leukemic transformation (p=0.02 and p=0.012, respectively). Given the variety of allelic imbalances, our data suggest that MPN-blast phase appears to be a heterogeneous disease prone to have evolved multiple mechanisms to provide a proliferative advantage to the abnormal leukemic clone. Our analysis of MPN genomes in the chronic compared to the leukemic stage provided new prognostic insights, as well as novel causative genes which might be involved in the transformation to MPN-blast phase. Disclosures No relevant conflicts of interest to declare.

Key Points KMT2C mutations occur in 15% and 25% of patients with cHCL and vHCL, respectively, along with CCND3 and U2AF1 mutations each in 13% of vHCLs. NF1, NF2, N/KRAS, and IRS1 alterations contribute to clinical resistance to vemurafenib treatment in patients with cHCL.

Abstract Philadelphia chromosome–negative myeloproliferative neoplasms (MPNs) including polycythemia vera, essential thrombocythemia, and primary myelofibrosis show an inherent tendency for transformation into leukemia (MPN-blast phase), which is hypothesized to be accompanied by acquisition of additional genomic lesions. We, therefore, examined chromosomal abnormalities by high-resolution single nucleotide polymorphism (SNP) array in 88 MPN patients, as well as 71 cases with MPN-blast phase, and correlated these findings with their clinical parameters. Frequent genomic alterations were found in MPN after leukemic transformation with up to 3-fold more genomic changes per sample compared with samples in chronic phase (P < .001). We identified commonly altered regions involved in disease progression including not only established targets (ETV6, TP53, and RUNX1) but also new candidate genes on 7q, 16q, 19p, and 21q. Moreover, trisomy 8 or amplification of 8q24 (MYC) was almost exclusively detected in JAK2V617F− cases with MPN-blast phase. Remarkably, copy number–neutral loss of heterozygosity (CNN-LOH) on either 7q or 9p including homozygous JAK2V617F was related to decreased survival after leukemic transformation (P = .01 and P = .016, respectively). Our high-density SNP-array analysis of MPN genomes in the chronic compared with leukemic stage identified novel target genes and provided prognostic insights associated with the evolution to leukemia.