ALBERT

Beschreibung: In Myelodysplastic Syndromes (MDS) the International Prognostic Scoring System (IPSS) is the golden standard to assess the patients risk profile. Although only three parameters were included in the score, namely the medullary blast cell count, the karyotype and the amount of cytopenias, multiple risk factors, among others age and gender, were discussed in its original publication (Greenberg et al., Blood89,6,1997:p2079–88). Their additional predictive importance was stated there, but not formally quantified. In a retrospective multicenter analysis (for sample details see below) the modulating impact of age, gender and FAB classification on the IPSS was studied and individualized score values of the IPSS for each age*gender*FAB group were estimated (see table below). While without consideration of age, gender and FAB classification the risk of a patient at the four IPSS levels is best represented by the values 0 to 3, these values vary considerably between age*gender*FAB subgroups, as e.g. an IPSS ‘low’ scoring female patient

Beschreibung: To develop a prognostic scoring system tailored for therapy-related myelodysplastic syndromes (tMDS), we put together a database containing 1933 patients (pts) with tMDS from Spanish, German, Swiss, Austrian, US, Italian, and Dutch centers diagnosed between 1975-2015. Complete data to calculate the IPSS and IPSS-R were available in 1603 pts. Examining different scoring systems, we found that IPSS and IPSS-R do not risk stratify tMDS as well as they do primary MDS (pMDS), thereby supporting the need for a tMDS-specific score (Kuendgen et al., ASH 2015). The current analysis focuses on cytogenetic information as a potential component of a refined tMDS score, based on this large, unique patient cohort. Of the 1933 pts, 477 had normal karyotype (KT), 197 had missing cytogenetics, while 467 had a karyotype not readily interpretable. Incomplete karyotype descriptions will be reedited for the final evaluation. Of the remaining 1269 pts the most frequent cytogenetic abnormalities (abn) were: -7, del(5q), +mar, +8, del(7q), -5, del(20q), -17, -18, -Y, del(12p), -20, and +1 with 〉30 cases each. Frequencies are shown in Table 1. Some abn were observed mostly or solely within complex KTs, such as monosomies, except -7. Others, like del(20q) or -Y, are mainly seen as single or double abn, while del(5q), -7, or del(7q) are seen in complex as well as non-complex KTs. The cytogenetic profile overlapped with that of pMDS (most frequent abn: del(5q), -7/del(7q), +8, -18/del(18q), del(20q), -5, -Y, -17/del(17p), +21, and inv(3)/t(3q) (Schanz et al, JCO 2011)), with notable differences including overrepresentation of complete monosomies, a higher frequency of -7 or t(11q23), and a more frequent occurrence of cytogenetic subtypes in complex KTs, which was especially evident in del(5q) occurring as a single abn in 16%, compared to 70% within a complex KT. IPSS-R cytogenetic groups were distributed as follows: Very Good (2%), Good (35%), Int (17%), Poor (15%), Very Poor (32%). Regarding the number of abn (including incomplete KT descriptions) roughly 30% had a normal KT, 20% 1, 10% 2, and 40% ≥3 abn, compared to pMDS: 55% normal KT, 29% 1, 10% 2, and 6% ≥3 abn. To be evaluable for prognostic information, abn should occur in a minimum of 10 pts. As a single aberration this was the case for -7, +8, del(5q), del(20q), del(7q), -Y, and t(11;varia) (q23;varia). Of particular interest, there was no apparent prognostic difference between -7 and del(7q); del(5q) as a single abn was associated with a relatively good survival, while the prognosis was poor with the first additional abn; t(11q23) occurred primarily as a single abn and was associated with an extremely poor prognosis, and prognosis of pts with ≥4 abn was dismal independent of composition (Table 1). To develop a more biologically meaningful scoring system containing homogeneous and prognostically stable groups, we will further combine subgroups with different abn leading to the same cytogenetic consequences. For example, deletions, unbalanced translocations, derivative chromosomes, dicentric chromosomes of 17p, and possibly -17 all lead to a loss of genetic material at the short arm of this respective chromosome affecting TP53. Further information might be derived from analyses of the minimal common deleted regions. For some abn, like del(11q), del(3p), and del(9q), this can be refined to one chromosome band only (table 1). Conclusion: Development of a robust scoring system for all subtypes of tMDS is challenging using existing variables. This focused analysis on the cytogenetic score component shows that favorable KTs are evident in a substantial proportion of pts, in contrast to historic data describing unfavorable cytogenetics in the majority of pts. Although complex and monosomal KTs are overrepresented, this suggests the existence of distinct tMDS-subtypes, although some of these cases might not be truly therapy-induced despite a history of cytotoxic treatment. The next steps will be to analyze the prognosis of the different groups, develop a tMDS cytogenetic score, and examine minimal deleted regions to identify candidate genes for development of tMDS, as well as to describe the possible influence of different primary diseases and treatments (radio- vs chemotherapy, different drugs) on induction of cytogenetic subtypes. Our detailed analysis of tMDS cytogenetics should reveal important prognostic information and is likely to help understand mechanisms of MDS development. Disclosures Komrokji: Novartis: Consultancy, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Sole:Celgene: Membership on an entity's Board of Directors or advisory committees. Sekeres:Celgene: Membership on an entity's Board of Directors or advisory committees; Millenium/Takeda: Membership on an entity's Board of Directors or advisory committees. Roboz:Cellectis: Research Funding; Agios, Amgen, Amphivena, Astex, AstraZeneca, Boehringer Ingelheim, Celator, Celgene, Genoptix, Janssen, Juno, MEI Pharma, MedImmune, Novartis, Onconova, Pfizer, Roche/Genentech, Sunesis, Teva: Consultancy. Steensma:Amgen: Consultancy; Genoptix: Consultancy; Janssen: Consultancy; Celgene: Consultancy; Millenium/Takeda: Consultancy; Ariad: Equity Ownership. Schlenk:Pfizer: Honoraria, Research Funding; Amgen: Research Funding. Valent:Amgen: Honoraria; Deciphera Pharmaceuticals: Research Funding; Celgene: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Ariad: Honoraria, Research Funding; Deciphera Pharmaceuticals: Research Funding. Giagounidis:Celgene Corporation: Consultancy. Giagounidis:Celgene Corporation: Consultancy. Platzbecker:Celgene Corporation: Honoraria, Research Funding; TEVA Pharmaceutical Industries: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Janssen-Cilag: Honoraria, Research Funding; Amgen: Honoraria, Research Funding. Lübbert:Janssen-Cilag: Other: Travel Funding, Research Funding; Celgene: Other: Travel Funding; Ratiopharm: Other: Study drug valproic acid.

Beschreibung: Introduction: Since its implementation in 2012, the IPSS-R (Greenberg et al., 2012), defines the latest standard in risk stratification of patients with Myelodysplastic Syndromes (MDS). However, the prognostic impact of rare abnormalities remains unclear as yet because the number of these aberrations was too low to allow a valid statistical analysis. Hence, rare abnormalities were coalesced in one group in the IPSS and IPSS-R and, due to the unknown prognosis of these abnormalities, classified as prognostically intermediate. The main goal of the study presented here was to analyse the type, frequency and prognosis of rare single abnormalities in a large cohort of patients with primary, untreated MDS and integrate them in the existing IPSS-R in order to refine its predictive power. Methods: The data set analyzed was derived from the IPSS-R database and extended by additional data from European centers. In total, 7245 patients with primary, untreated MDS were included. Of these, we identified 410 (6%) pts. with rare single abnormalities. An aberration was defined as rare when it occurred in less than 10 patients in the cytogenetic scoring system that was the basis for the IPSS-R (Schanz et al., 2012). Additionally, further cytogenetic abnormalities not considered in this score were detected. A specific cytogenetic subgroup was defined as having at least n=5 cases with the same abnormality. Survival analyses was performed in cytogenetic subgroups with a minimum number of n=10 exclusively. The participating centers (in numerical order) were: Spain (n=110; 26.8%), MD Anderson Cancer Center (69; 16.8%), Düsseldorf (44; 10.8%), IMRAW (41; 10.0%), France (32; 7.8%), Pavia (21; 5.1%), Vienna (19; 4.6%), Japan (13; 3.2%), Vienna Medical University (12; 2.9%) Italy (11; 2.7%), Cleveland (10; 2.4%), Dundee (9; 2.2%), Brazil (8; 2.0%), Netherlands (5; 1.2%), Czech (2, 0.5%), Freiburg (1; 0.2%), Innsbruck (1; 0.2%), Sweden (1; 0.2%), and Russia (1; 0.2%). The median overall- (OS) and AML-free survival (AFS) was calculated for any specific cytogenetic subgroup. Results: Rare single abnormalities detected were: der(1;7)(n=24; 5.9%), partial or total monosomy 13 (22; 5.4%), partial or total monosomy 9 (22; 5.4%), +21 (20; 4.9%), +mar (14; 3.4%), del(3p) (12; 2.9%), total or partial monosomy 21 (11; 2.7%), total or partial monosomy X (11; 2.7%), total or partial monosomy 18 (10; 2.4%), +1/+1q (10; 2.4%), del(17p) (9; 2.2%), total or partial monosomy 14 (9; 2.2%), total or partial monosomy 16 (9; 2.2%), total or partial monosomy 6 (9; 2.2%), total or partial monosomy 1 (8; 2.0%), t(11q23;varia) (7; 1.7%), total or partial monosomy 19 (6; 1.5%), +11/+11q (6; 1.5%), +13 (6; 1.5%), +14 (6; 1.5%), del(5p) (5; 1.2%), total or partial monosomy 2 (5; 1.2%), +15 (5; 1.2%) and +X (5; 1.2%) The remaining 159 patients (38.7%) showed very rare abnormalities occurring in less than 5 patients each. The median overall survival as well as the AML-free survival in each category will be presented in detail. Furthermore, a multivariate model including all relevant confounders and a proposal to integrate these abnormalities in the cytogenetic module of the IPSS-R will be suggested. Conclusions: In order to overcome the problem of their extremely low frequency, knowledge about rare single abnormalities in MDS can only be gained by large, international cooperative projects. The present study was performed to identify and comprehensively analyze rare abnormalities occurring in MDS, uninfluenced by therapy or additional abnormalities. The results will lead to a further refinement of the cytogenetic prognostic classification in patients with MDS. The study was supported by a grant from the European Leukemia Net (ELN) Disclosures Schanz: Novartis: Honoraria, Other: Travel Grant; Celgene: Honoraria, Research Funding; Alexion: Other: Travel Grant; Lilly: Other: Travel Grant. Sole:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees. Fenaux:Amgen: Honoraria, Research Funding; Celgene Corporation: Honoraria, Research Funding; Janssen: Honoraria, Research Funding; Novartis: Honoraria, Research Funding. Valent:Novartis: Consultancy, Honoraria, Research Funding; Ariad: Honoraria, Research Funding; Bristol-Myers Squibb: Honoraria; Pfizer: Honoraria; Celgene: Honoraria. Ohyashiki:Kyowa Kirin KK: Honoraria; Novartis Pharma KK: Honoraria, Research Funding, Speakers Bureau; Celegen KK: Consultancy, Honoraria, Research Funding, Speakers Bureau; Jansen Pharma KK: Honoraria, Research Funding, Speakers Bureau; Chugai Pharna KK: Research Funding; Bristol Meyer Squib KK: Research Funding; Taiho Yakuhin KK: Research Funding; Asahikasei: Research Funding; Teijin Pharma KK: Research Funding; Alexion Pharma KK: Research Funding; Asteras: Research Funding; Shinbaio Pharma KK: Honoraria; Toyama Kagaku KK: Speakers Bureau; MSD KK: Honoraria; Nippo Shinyaku KK: Speakers Bureau; Sumitomo Dainippon: Membership on an entity's Board of Directors or advisory committees. Sekeres:Celgene Corporation: Membership on an entity's Board of Directors or advisory committees; TetraLogic: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees.

Beschreibung: Background:Chronic myelomonocytic leukemia (CMML) is a hematopoietic malignancy of the elderly with a heterogenous molecular pathophysiology. Whereas mutations in components of the RAS pathways are among the most common somatic mutations in CMML the JAK2 V617F mutation which is a typical finding in polycythemia vera and around 50% of patients with essential thrombocythemia and primary myelofibrosis, respectively, is by far less frequently detected in CMML but can be consistently found in a subgroup of patients in larger series. Due to the fact that JAK2 V617F-positive CMML is a rare disease the clinical, hematological and in vitro growth characteristics of this entity are poorly investigated. In the "Austrian Biodatabase for Chronic Myelomonocytic Leukemia (ABCMML)" we retrospectively and prospectively collect clinical, biologic, and molecular information of patients with CMML from different centers in a real life setting. Aims:Our aim was to characterize the clinical, hematological, molecular and biologic features of CMML patients harboring a JAK2 V617F mutation. Methods:The diagnosis of CMML was established according to diagnostic criteria of the World Health Organization (WHO) classification of 2008 (Vardiman et al, Blood 2009). Clinical and hematological data were obtained from patients records. For molecular characterization we used next-generation sequencing with amplicon-based target enrichment of 39 CMML associated genes. Only mutations with an allele burden of 〉10% were considered positive in this analysis. Autonomous colony-forming units granulocyte/macrophage (CFU-GM) growth in the absence of exogenous cytokines was assessed using semisolid cultures as previously described (Geissler et al, J Exp Med 1996). Results:Up to now targeted NGS data are available in 116 patients and in vitro culture data in 75 patients respectively. We identified 13 CMML patients who had a JAK2 V617F mutation with an allele frequency 〉10%. Clinical, hematological, and biologic characteristics in these patients were compared with 103 patients who had NGS sequencing and were negative for the JAK2 V617F mutation. As shown in Table 1 JAK2 V617F-positive CMML patients had significantly higher WBC counts, higher hemoglobin values, higher platelet counts and more pronounced splenomegaly as compared to JAK2 V617F-negative patients. On the other hand the percentage on monocytes in peripheral blood and the numbers of CFU-GM growing in vitro without addition of exogenous growth factors were lower in CMML patients with the JAK2 V617F mutation as compared to patients without this mutation. The majority of JAK2 V617F-positive patients had additional mutations that can be also found in JAK2 V617F-negative patients, in particular mutations in genes of epigenetic regulation and RNA-splicing, respectively. As shown in Figure 1 there was a trend towards a better survival of patients with the JAK2 V617F mutation as compared to JAK2 V617F-negative patients (p=0.05). In a JAK2 V617F-positive CMML patient with splenomegaly, who was treated with the JAK1/2 inhibitor ruxolitinib off label, we were able to demonstrate the disappearance of constitutional symptoms and a durable spleen response lasting for over 56 months (Fig. 2). Conclusion:Out data show that CMML patients with the JAK2 V617F mutation have hematological, biologic and clinical characteristics different from JAK2 V617F-negative CMML patients. These findings suggest that JAK2 V617F-positive CMML patients should be regarded as a distinct subgroup which may benefit from specific targeted treatments. Disclosures Geissler: Novartis: Honoraria. Pfeilstöcker:Novartis: Consultancy, Speakers Bureau. Burgstaller:Novartis: Consultancy, Honoraria. Zach:Novartis: Other: Honoraria for Advisory Board. Hörmann:Novartis: Other: Honoraria for Advisory Board. Jäger:Roche: Other: Personal fees, Research Funding. Sperr:Amgen: Honoraria, Research Funding; Novartis: Honoraria. Kusec:Novartis: Other: Honoraria for lectures. Valent:Novartis: Honoraria, Research Funding; Amgen: Honoraria; Celegene: Honoraria, Research Funding.

Beschreibung: Background Somatic mutations identified in patients with myelodysplastic syndromes (MDS) are associated with disease features and carry prognostic information independent of the International Prognostic Scoring System (IPSS) and the revised IPSS (IPSS-R). Risk models that include mutation information have been proposed, but not widely adopted. In practice, there is no consensus on how to best combine clinical information with tumor sequencing data to predict prognosis. To accomplish this, we must define the relevant genes to consider and accurately measure their prognostic impact. Here we examine the relationship between mutations in MDS-associated genes and clinically relevant measures, including overall survival, in a large, multi-center analysis of MDS patient cohorts collected around the globe. Methods Data on 3392 MDS patients gathered by members of the International Working Group for Prognosis in MDS-Molecular Committee were combined under the aegis of the MDS Foundation. Patients gave informed consent for collection of their data and tumor samples at their respective institutions in accordance with the Declaration of Helsinki. Samples were examined for somatic mutations primarily by next generation sequencing. Categorical variables were compared using a chi-squared test, while continuous variables were compared using a Wilcoxon rank-sum test. Overall survival (OS) was calculated from the date of the sequenced sample to the date of death and was censored at transplant or the last known follow-up time. P-values are two-sided and considered significant at the 1.5% of samples were included for analysis (Figure 1). Mutations in 12 genes were strongly associated with shorter OS in univariate analyses (p

Beschreibung: Background In patients with Myelodysplastic Syndromes (MDS), TP53 mutations associate with high-risk presentation, complex karyotype, acute myeloid leukemia (AML) progression and poor response to hematopoietic stem cell transplantation. These associations highlight the relevance of TP53 as a prognostic and predictive biomarker. Consistent with its role as a tumor suppressor, bi-allelic targeting of the TP53 locus is a frequent but not an obligatory event. Despite the central role of TP53 in MDS, the clinical implications of TP53 mutations in the context of allelic state have not been extensively studied. Methods Under the auspices of the International Working Group for Prognosis in MDS, we sequenced a representative cohort of 3,324 peri-diagnosis MDS patients on a next generation sequencing (NGS) panel optimized for myeloid disease. Conventional G-banding analysis (CBA) was available for 2,931 patients. Focal (~3MB) gains and deletions and regions of NGS-derived copy-neutral loss of heterozygosity (cnLOH) were assessed using an in-house algorithm CNACS. Putative oncogenic mutations in TP53 were characterized by consideration of normal controls and established population databases. A validation cohort of 1,120 samples with independent but comparable molecular and clinical annotation was sourced from a compendium of Japanese MDS data to include JALSG-MDS212, JMDP registry, and regional registries. Results NGS-derived ploidy alterations and CBA show a high genome-wide concordance. From NGS profiles, 11% of patients (n=360) are subject to cnLOH, of which 80 target the TP53 locus. We characterize 490 TP53 mutations in 380 patients, representing 11% of the cohort. Amongst those patients, 22% (n=85) and 21% (n=78) have a deletion or a cnLOH involving the TP53 locus, respectively. Taken together, these segregate patients into two TP53 states: a mono-allelic state where one wild type allele remains (33% of TP53 mutated patients, n=126); and a multi-hit state where TP53 is altered multiple times by either mutations, deletions or cnLOH (67% of TP53 mutated patients, n=254). We find that TP53 state shapes clinical presentation and outcomes. Mono-allelic TP53 patients present with more favorable disease than multi-hit TP53 patients: they are less cytopenic, have lower bone marrow blasts (median 4 vs. 9%, p

Beschreibung: Background: The International Prognostic Scoring System (IPSS) for MDS has recently been revised (IPSS-R). However both scoring systems were developed after exclusion of therapy-related cases and data on its usefulness in treatment-related MDS (tMDS) is limited. Aims and Methods: We analyzed 1837 pts from Spanish, German, Swiss, Austrian, US, Italian, and Dutch centers diagnosed 1975-2015. Complete data to calculate the IPSS/-R was available in 1511 pts. The impact of prognostic features was analyzed by uni- and multivariable models and estimated by a measure of concordance for censored data (Dxy). Results: Median age was 68 years. 1% of pts had 5q-syndrome, 13% RCUD, 4% RARS, 27% RCMD/-RS, 18% RAEB 1, 18% RAEB 2, 4% CMML 1, 2% CMML 2, 3% MDS-U, and 7% AML (RAEB-T) according to WHO-classification. Regarding cytogenetics 38% exhibited good, 14% intermediate, and 48% poor-risk according to IPSS, and 2% very good, 36% good, 17% intermediate, 15% poor, and 31% very poor according to IPSS-R. Prognostic risk groups were 12% IPSS low, 34% int 1, 36% int 2, and 18% high, while the IPSS-R was very low in 8%, low in 20%, intermediate in 17%, high in 23%, and very high in 32%. The most frequent primary diseases were NHL 28%, breast cancer 16%, myeloma 6%, prostate cancer 6%, Hodgkins disease 5%, and 4% gastrointestinal tumors. Patients received chemotherapy in 75% and radiotherapy in 47%. Regarding chemotherapeutic drugs, most pts received combination regimens containing alkylating agents in 65%, topoisomerase inhibitors in 44%, antitubulin agents in 26%, and antimetabolites in 26%. Median follow-up from MDS diagnosis was 59 months, median survival 16 months. Since a disease altering treatment is, at least in higher risk disease, which is overrepresented in tMDS, standard of care, we decided to analyze treated as well as untreated pts to avoid a selection bias. This included stem cell transplantation in 16% with a median survival of 24 months. Features with influence on survival and time to AML in univariable analysis included FAB, WHO, IPSS, IPSS-R, cytogenetics, hb, platelets, marrow and peripheral blasts, ferritin, LDH, fibrosis, ß2-microglobulin, and use of alkylating agents for the treatment of primary disease. For hemoglobin, platelets, LDH, fibrosis, and ß2-microglobulin the influence was stronger on survival. Year of diagnosis, age, gender, neutrophil count, WBC, use of chemo or radiotherapy as well as other chemotherapeutic agents had no marked influence on both outcomes. According to our results, both the IPSS (Dxy 0.29 for survival, 0.32 for AML) and IPSS-R (Dxy 0.34, 0.32 for AML) perform moderately in tMDS, but not as well as in primary MDS (pMDS). Therefore, existing prognostic models need to be adjusted to tMDS. However, this appears to be not without difficulties. The scores tested, as well as most prognostic variables themselves perform inferior compared to pMDS. It becomes even more complicated since tMDS in itself is even more heterogeneous than pMDS. Scores and variables perform differently depending on the primary disease or therapy. The IPSS/-R and its variables perform for example better in pts with solid tumors compared to hematologic diseases or in pts who have received radio- instead of chemotherapy, but also in pts after prostate compared to breast cancer. In addition to the integration of further variables, new cutoffs, or the weighting of existing variables, we are currently testing the possibility of separate score versions for different tMDS subgroups. Separate score versions for survival and time to AML would also give differing weights to most features. Hemoglobin, platelets and cytogenetics would get more weight for survival, while marrow blasts would be more important regarding AML. Conclusion: In contrast to early descriptions of tMDS, with poor risk cytogenetics in the vast majority of pts and a uniformly poor prognosis, surprisingly we find good risk karyotypes in a relatively large number of pts. Although, poor risk cytogenetics are still overrepresented, this indicates, different types of tMDS exist. Our analysis shows that many variables exhibit prognostic influence in tMDS and the IPSS or preferably IPSS-R can be applied in these pts. However, the prognostic power of both scores is inferior compared to pMDS, making an optimized tMDS score reasonable. Currently data from further IWG centers is integrated in our database and further analyses are performed to propose a tMDS specific score. Figure 1. Figure 1. Disclosures Komrokji: Novartis: Research Funding, Speakers Bureau; Pharmacylics: Speakers Bureau; Incyte: Consultancy; Celgene: Consultancy, Research Funding. 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. Steensma:Celgene: Consultancy; Incyte: Consultancy; Amgen: Consultancy; Onconova: Consultancy. Valent:Novartis: Consultancy, Honoraria, Research Funding; Ariad: Honoraria, Research Funding; Bristol-Myers Squibb: Honoraria; Pfizer: Honoraria; Celgene: Honoraria. Platzbecker:Boehringer: Research Funding; Celgene: Honoraria, Research Funding; Novartis: Honoraria, Research Funding. Esteve:Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria.

Beschreibung: Key Points Hazards regarding mortality and leukemic transformation in MDS diminish over time in higher-risk but remain stable in lower-risk patients. This change of hazard indicates time-dependent attenuation of power of basal risk scores, which is relevant for clinical decision making.