Time-dependent changes in mortality and transformation risk in MDS

In myelodysplastic syndromes (MDSs), the evolution of risk for disease progression or death has not been systematically investigated despite being crucial for correct interpretation of prognostic risk scores. In a multicenter retrospective study, we described changes in risk over time, the consequences for basal prognostic scores, and their potential clinical implications. Major MDS prognostic risk scoring systems and their constituent individual predictors were analyzed in 7212 primary untreated MDS patients from the International Working Group for Prognosis in MDS database. Changes in risk of mortality and of leukemic transformation over time from diagnosis were described. Hazards regarding mortality and acute myeloid leukemia transformation diminished over time from diagnosis in higher-risk MDS patients, whereas they remained stable in lower-risk patients. After approximately 3.5 years, hazards in the separate risk groups became similar and were essentially equivalent after 5 years. This fact led to loss of prognostic power of different scoring systems considered, which was more pronounced for survival. Inclusion of age resulted in increased initial prognostic power for survival and less attenuation in hazards. If needed for practicability in clinical management, the differing development of risks suggested a reasonable division into lower- and higher-risk MDS based on the IPSS-R at a cutoff of 3.5 points. Our data regarding time-dependent performance of prognostic scores reflect the disparate change of risks in MDS subpopulations. Lower-risk patients at diagnosis remain lower risk whereas initially high-risk patients demonstrate decreasing risk over time. This change of risk should be considered in clinical decision making

Cytopenia levels for aiding establishment of the diagnosis of Myelodysplastic Syndromes

We recommend that standard hematologic values be used to define cytopenias in MDS and believe a modification of the WHO definition of cytopenias as 1 of the criteria (in addition to definitive morphologic and/or cytogenetic findings) to diagnose MDS would be valuable and most accurate

Differing clinical features between Japanese and Caucasian patients with myelodysplastic syndromes:Analysis from the International Working Group for Prognosis of MDS

Clinical features of myelodysplastic syndromes (MDS) could be influenced by many factors, such as disease intrinsic factors (e.g., morphologic, cytogenetic, molecular), extrinsic factors (e.g, management, environment), and ethnicity. Several previous studies have suggested such differences between Asian and European/USA countries. In this study, to elucidate potential differences in primary untreated MDS between Japanese (JPN) and Caucasians (CAUC), we analyzed the data from a large international database collected by the International Working Group for Prognosis of MDS (300 and 5838 patients, respectively). JPN MDS were significantly younger with more severe cytopenias, and cytogenetic differences: less del(5q) and more +1/+1q, -1/del(1p), der(1;7), -9/del(9q), del(16q), and del(20q). Although differences in time to acute myeloid leukemia transformation did not occur, a significantly better survival in JPN was demonstrated, even after the adjustment for age and FAB subtypes, especially in lower, but not in higher prognostic risk categories. Certain clinical factors (cytopenias, blast percentage, cytogenetic risk) had different impact on survival and time to transformation to leukemia between the two groups. Although possible confounding events (e.g., environment, diet, and access to care) could not be excluded, our results indicated the existence of clinically relevant ethnic differences regarding survival in MDS between JPN and CAUC patients. The good performance of the IPSS-R in both CAUC and JP patients underlines that its common risk model is adequate for CAUC and JP

Zarządzanie i handel zagraniczny w małych i średnich przedsiębiorstwach w warunkach integracji europejskiej: materiały z konferencji

Z przedmowy: "Integracja europejska to proces łączenia, scalania się odrębnych ekonomicznie, społecznie, kulturowo gospodarek europejskich krajów. Proces integracji prowadzi do istotnych przekształceń w sferze gospodarki, strategiach organizacji i funkcjonowania przedsiębiorstw, handlu międzynarodowym, działalności marketingowej, strukturach organizacyjnych i mechanizmach ekonomicznych przedsiębiorstw i instytucji działających w krajach integrujących się. Proces integracji to w praktyce proces dostosowywania się struktur gospodarczych; tworzenia związków kooperacyjno-produkcyjnych; powstawania trwałych więzi ekonomicznych między przedsiębiorstwami integrujących się krajów a więc proces kształtowania jednolitego obszaru gospodarczego z odrębnych a często także wzajemnie konkurencyjnych krajów, gospodarek, regionów, gałęzi, branż. Proces międzynarodowej integracji gospodarczej to w dużej mierze proces tworzenia komplementamości przedsiębiorstw i instytucji, komplementamości międzygałęziowej i wewnątrz gałęziowej, w produkcji i wymianie jak też kształtowanie niezbędnej infrastruktury technicznej i ekonomicznej umożliwiającej tworzenie sytemu trwałych powiązań gospodarczych między poszczególnymi krajami."(...

Multi-decade tree mortality in temperate old-growth forests of Europe and North America

Aim: Old-growth, mesic temperate forests are often assumed to be structured by gap-phase processes, resulting in quasi-equilibrial long-term dynamics. This assumption influences management focused on simulation of natural disturbance dynamics and is embedded in most models of forest successional dynamics. We use multi-decade monitoring of permanent plots in old-growth forests to assess demographic assumptions directly with respect to tree mortality rates. Location: Sixteen sites in mesic, temperate old-growth forests in eastern North America and Europe with multi-decade monitoring. Time period: Variable across sites, spanning c. 20%78 years from 1936 to 2014. Major taxa studied: Tree species of late-successional, cool-temperate forests of Europe and eastern North America. Methods: We calculated and compared the annualized mortality rates (m), with confidence intervals, by species, size class and measurement interval, for tree species of sufficient abundance. Results: Retrospective analysis shows dynamic and diverse demographic properties across populations and sites. Stand-scale mortality rates of 0.7%2.5%/ year average higher than previous estimates for old-growth temperate forests. Variations among species, over time and among size classes, suggest that gap-phase models are inadequate to explain stand dynamics, implying instead that rare disturbance events of moderate severity have long-lasting effects in old-growth forests and that indirect anthropogenic influences affect old-growth, unlogged forests. Main conclusions: Multi-decade baseline data, essential for understanding community assembly and long-term dynamics in these %slow systems,% are rare and poorly integrated. Our analysis demonstrates the value of the few long-term, %legacy% data sets. Results suggest that differences in life history interact with complex disturbance histories, resulting in non-equilibrial dynamics in old-growth temperate tree communities, and that changes in disturbance patterns through anthropogenic climate change might, there%fore, be an important driver of ecosystem change

Multi‐decade tree mortality in temperate old‐growth forests of Europe and North America: Non‐equilibrial dynamics and species‐individualistic response to disturbance

Aim: Old-growth, mesic temperate forests are often assumed to be structured by gap-phase processes, resulting in quasi-equilibrial long-term dynamics. This assumption influences management focused on simulation of natural disturbance dynamics and is embedded in most models of forest successional dynamics. We use multi-decade monitoring of permanent plots in old-growth forests to assess demographic assumptions directly with respect to tree mortality rates. Location: Sixteen sites in mesic, temperate old-growth forests in eastern North America and Europe with multi-decade monitoring. Time period: Variable across sites, spanning c. 20%78 years from 1936 to 2014. Major taxa studied: Tree species of late-successional, cool-temperate forests of Europe and eastern North America. Methods: We calculated and compared the annualized mortality rates (m), with confidence intervals, by species, size class and measurement interval, for tree species of sufficient abundance. Results: Retrospective analysis shows dynamic and diverse demographic properties across populations and sites. Stand-scale mortality rates of 0.7%2.5%/ year average higher than previous estimates for old-growth temperate forests. Variations among species, over time and among size classes, suggest that gap-phase models are inadequate to explain stand dynamics, implying instead that rare disturbance events of moderate severity have long-lasting effects in old-growth forests and that indirect anthropogenic influences affect old-growth, unlogged forests. Main conclusions: Multi-decade baseline data, essential for understanding community assembly and long-term dynamics in these %slow systems,% are rare and poorly integrated. Our analysis demonstrates the value of the few long-term, %legacy% data sets. Results suggest that differences in life history interact with complex disturbance histories, resulting in non-equilibrial dynamics in old-growth temperate tree communities, and that changes in disturbance patterns through anthropogenic climate change might, there%fore, be an important driver of ecosystem change

Survival, Prognostic Factors, and Rates of Leukemic Transformation in a Multicenter Study of 303 Untreated Patients with MDS and Del(5q)

Abstract Abstract 945 In 2001, the WHO defined the category MDS with del(5q) due to unique cytogenetic, morphologic, hematologic, clinical, prognostic and therapeutic features. The survival of these patients, as well as patients with refractory cytopenia with unilineage dysplasia (RCUD) and refractory anemia with ring sideroblasts is favorable in comparison to other MDS types. Data on disease progression to a more advanced MDS category or to acute leukemia (AML) are sparse and have not been examined in detail. In order to address this issue we collated data of all patients with MDS and del(5q) characterized by low or intermediate-1 IPSS risk score that had been included into various collaborating MDS registries. Patients were followed from diagnosis and data on cell counts, transfusion dependency, and MDS progression were documented. No patients received treatment other than best supportive care. The status of 62 patients was censored at the time of the initiation of Lenalidomide therapy. AML progression was defined as >20% marrow blasts. Estimates of survival probability were calculated with the Kaplan-Meier method. The cumulative incidence of progression to AML was calculated both with the Kaplan-Meier method and with the competing risk method where “death without progression to AML” is considered as competing event, not as censoring. For both events the cumulative incidences are estimated simultaneously. This method has the advantage that it takes into account that there is a difference between end of follow-up and death. Depending on the number of competing events, the curves are lower than those calculated with the Kaplan-Meier estimator. We identified 303 patients, median age at diagnosis 65 years (28-91), 71% were females. Median follow up time was 3 years. Median survival was 71.5 months. Patients with del(5q) as a sole chromosomal aberration had a median survival of 73 months as compared to 19.3 months in patients with more than 1 additional aberrations. Patients who had red cell transfusion need at diagnosis had a median survival of 39 months vs. 97 months in transfusion independent patients (p=0.00005). Transfusion need at diagnosis was the most important parameter for survival. Patients in the WPSS very low risk group had a median survival of 107 months, as compared to 73 and 56 months in the low and intermediate risk group and 37 months in the high risk group. 44 of the 303 patients (15%) progressed to AML (>20% marrow blasts). The cumulative AML progression rate calculated with the Kaplan-Meier method was 7% at 2 years and 18.2% at 5 years. The cumulative risk of AML progression calculated with the competing risk method was 6.6% at 2 years and 15.1% at 5 years. Factors associated with the risk of AML transformation were intermediate-I IPSS risk and high risk WPSS score, marrow blast count >5%, and red-cell transfusion need at diagnosis. Survival and progression rates did not differ among the participating centers. In conclusion, survival of patients with MDS and del(5q) is high and is comparable to patients with RCUD and RARS, but is associated with a risk of AML-transformation similar to RCMD without del(5q). Further cytogenetic and molecular studies are warranted in order to identify patients at greater risk of progression. Disclosures: Germing: Novartis, Celgene: Honoraria, Research Funding. Lauseker:Celgene: Research Funding. Hildebrandt:Celgene: Research Funding. Symeonidis:Celgene: Research Funding. Cermak:Celgene: Research Funding. Pfeilstöcker:Celgene: Research Funding. Nösslinger:Celgene: Research Funding. Sekeres:Celgene: Research Funding. Maciejewski:Celgene: Research Funding. Haase:Celgene: Research Funding. Schanz:Celgene: Research Funding. Seymour:Celgene: Research Funding. Weide:Celgene: Research Funding. Lübbert:Celgene: Research Funding. Platzbecker:Celgene: Research Funding. Valent:Celgene: Research Funding. Götze:Celgene: Research Funding. Stauder:Celgene: Research Funding. Blum:Celgene: Research Funding. Kreuzer:Celgene: Research Funding. Schlenk:Celgene: Research Funding. Aul:Celgene: Research Funding. Kündgen:Celgene: Research Funding. Hasford:Celgene: Research Funding. Giagounidis:Celgene: Research Funding

Time Changes In Predictive Power Of MDS Prognostic Scores – Effects On Revised Scores Such As The IPSS-R, Impact Of Age

Abstract Introduction New, refined prognostic scoring systems have been established for MDS. Most scores assess prognosis at time of diagnosis assuming stable prediction over time. Earlier studies have shown moderate loss of prognostic power over time in scores using clinical parameters whereas cytogenetic scores maintained prognostic power, scores including comorbidity had shown gain of prognostic power (Pfeilstöcker et al, 2012). The aim of this multicenter retrospective study was to assess the relative stability of the newly developed scoring systems over time, to compare and explain observed time-related losses of prognostic power, and to discuss their clinical implications. Methods This study is based on 7212 untreated (no disease modifying treatment) MDS patients from multiple institutional databases of the IWG-PM, which generated the IPSS-R (Greenberg et al, 2012). Patient characteristics were well comparable with other populations: median age 71 years, male gender 60 %, median overall survival 3.8 years (range 3.7-4.0), median time to AML transformation not reached with 25% of patients transforming to AML after 6.8 years. Patients were diagnosed and classified by FAB and WHO; cytogenetics were classified by original IPSS subtypes and by the recently refined proposal integrated into the IPSS-R (Schanz et al, 2012). The following scores were analysed for their stability over time: IPSS, IPSS-R, WPSS variants, cytogenetic scores, age, performance status and other differentiating features of the IPSS-R. Time variations were described by the Cox-zph-test, and by applying Dxy, a measure of concordance, for censored data at separate observation periods. Results In line with previous observations, loss of prognostic power occurred over time after diagnosis in all scoring systems. While for the entire population the risk between adjacent IPSS-R risk categories differs by ∼80%, for patients observed at least 1 year the increase is ∼66%, and for those observed 4 years it is only ∼25%. The IPSS-R and particularly its age-including version (the IPSS-RA) retained the highest prognostic values compared to all other scoring systems at all time points. Dxy for IPSS-R: at diagnosis 0.43, 1 year 0.35, 2 years 0.27, 4 years 0.14. Including age, as in the IPSS-RA, was associated with less loss of prognostic power over time: Dxy at diagnosis 0.46, 1 year 0.38, 2 years 0.31, 4 years 0.22. For the IPSS and WPSS (available for the latter in only 33% cases), these values were: 0.37, 0.30, 0.22, 0.11 and 0.44, 0.36, 0.29, 0.18 respectively. Considering risk categories, the risk remained fairly constant over time for the lower risk categories in every analyzed scoring system, while the risks in the higher risk categories were especially high in the second half of the first year after diagnosis, diminishing thereafter, thus reducing the prognostic value of these categories over time. To determine whether statistical weights optimized for each time period would alter these results, time-specific weights were applied, which did not demonstrate substantially different prognostic values from the basic model analysis. Particularly good retention of prognostic power was found in the lower risk categories over time. The lesser retention of prognostic power in the higher risk categories appeared related to loss of a larger portion of these patients over time due to their deaths or being censored by their beginning treatment. For the IPSS-R intermediate risk category patients, the prognosis for survival approached the “high” category ∼3 years after diagnosis, while it remained intermediate regarding their risk of AML transformation. Conclusions These data demonstrate that a degree of attrition of prognostic value occurred over time from diagnosis for all of the assessed MDS prognostic scoring systems. The IPSS-R, particularly the age-inclusive IPSS-RA, best retained such prognostic capability over time for the untreated patients analyzed. Disclosures: No relevant conflicts of interest to declare

Effects of the Therapeutic Armamentarium on Survival and Time to Next Treatment in CMML Subtypes: An International Analysis of 950 Cases Coordinated By the AGMT Study Group

Background Chronic myelomonocytic leukemia (CMML) is an ultrarare stem cell disorder defined by the presence of monocytosis (≥1.0 G/l, ≥10%). Depending on white blood cell (WBC) count, CMML can be divided into a myelodysplastic (MD) (WBC ≤13 G/l) and a myeloproliferative (MP) variant (WBC >13 G/l). Although hypomethylating agents (HMA) have been shown to prolong overall survival (OS) in MDS patients (pts) in prospective, randomized phase III trials, only 6-14 MD-CMML pts were included, and MP-CMML pts were excluded [Silverman 2002; Kantarjian 2006; Fenaux 2009]. EMA approval of azacitidine (AZA) in CMML is thus based on limited experience and restricted to MD-CMML with 10-29% bone marrow blasts (BMB), whereas decitabine (DAC) is not approved for treatment (trt) of CMML in the EU. Smaller analyses and single-arm trials of HMA in CMML exist [Wijermans 2008; Ades 2013; Pleyer 2014; Zeidan 2017; Duchmann 2018; Santini 2018; Coston 2019; Diamantopoulos 2019], but it is still unclear whether HMA provide a benefit in CMML (subgroups) compared with other trts. Aim Evaluate the impact of HMA and hydroxyurea (HU) trt on OS and time to next trt (TTNT). Methods Data were collected from 7 European study groups and 2 US MDS Centers of Excellence; database lock 27.05.19; Assign Data Management and Biostatistics GmbH performed statistical analyses with SAS® 9.3. Of 1657 CMML pts, only those who received trt (n=950), with documented WBC and BMB at 1st line, were included in these analyses (n=845, cohort 1). Pts were stratified according to the EMA approved AZA indication, and inclusion/exclusion criteria of the GFM-DAC-CMML trial assessing DAC +/- HU vs HU (NCT02214407) (diagnosis of CMML, no prior trt [except supportive care, erythropoietin or ≤6 weeks HU], WBC ≥13 G/l and ≥2 of the following: BMB ≥5%, clonal cytogenetic abnormality [other than -Y], hemoglobin 16 G/l, platelet count 2 excluded) (n=486; cohort 2). Results In cohort 1, pts receiving HMA 1st line (n=375) had longer OS (19.8 vs 16.3 months [mo], P=0.0102) and TTNT (13.2 vs 6.7 mo, P=0.0001) than pts treated with non-HMA 1st line (n=470). Survival benefit was longer when comparing pts who received HMA (any time) (AZA [n=442], DAC [n=37], both [n=27]) with those that never received HMA (never HMA; n=339) (23.0 vs 13.0 mo, P<0.0001). Median OS was longer for MD-CMML (n=294) vs MP-CMML pts (n=551) (25.5 vs 15.0 mo, P<0.0001). OS was shorter for all pts with 1st line HU preceding any 2nd line trt (9.4 vs 19.6 mo; P<0.0001; Fig A), for MP-CMML pts separately (8.7 vs 15.6 mo, P=0.0001), and for the subset with HU preceding 2nd line HMA (11.6 vs 19.8 mo; P=0.0016; Fig B). The following were significantly less common in pts treated with HMA vs those that were not: diagnosis in the pre-HMA era (8 vs 43%), MP-CMML (48 vs 66%), splenomegaly (27 vs 36%), ECOG≥2 (12 vs 24%), 1 trt line (43 vs 74%). WHO subtype, karyotype, transfusion dependence, LDH, CPSS score, AML transformation and therapy-related CMML were comparable between cohorts. HMA are not approved in the EU for CMML pts with <10% BMB. In this subgroup (n=588), median OS was longer for MD-CMML vs MP-CMML (28.1 vs 17.0 mo, P<0.0001) and for pts who received HMA vs never HMA (26.5 vs 14.8 mo, P=0.0003). Pts with <10% BMB and MD-CMML (n=206) did not seem to benefit from HMA vs non-HMA trt (median OS 28.4 vs 25.3 mo, P=0.9908; Fig C), whereas the MP-CMML subgroup (n=382) did (24.4 vs 13.0 mo, P<0.0001; Fig D). HMA are also unapproved in the EU for MP-CMML pts with ≥10% BMB. In pts with ≥10% BMB (n=257), median OS was longer for MD-CMML vs MP-CMML (19.4 vs 11.2 mo, P=0.0023) and for pts who received HMA vs never HMA (18.3 vs 7.0 mo, P<0.0001). Both MD-CMML (OS 21.7 vs 10.9 mo, p=0.0134; Fig E) and MP-CMML pts (15.6 vs 6.3 mo, P<0.0001; Fig F) benefited from HMA trt vs never HMA. In cohort 2, 1st line trts were HU (n=214), HMA (n=187) and others (n=85). Comparing HMA vs HU 1st line, median OS was 15.6 vs 14.5 mo (P=0.0307) and median TTNT was 8.8 vs 6.5 mo (P=0.0452; Fig G). OS and TTNT were comparable for HU vs other trts (Fig G). Similar observations were made in the larger cohort 1 (Fig H). Conclusions HMA show promising results with survival benefits of +11.4, +10.8 and +9.3 mo in pts with MP-CMML <10%, and MD- or MP-CMML ≥10% BMB. In MP-CMML pts fulfilling GFM-DAC-CMML trial inclusion criteria, survival and TTNT were longest in pts receiving HMA 1st line as compared to HU or other trts. Preceding HU portends poor prognosis (-10.2 mo). Disclosures Pleyer: Abbvie: Other: Advisory board; Novartis: Other: Advisory board; Inflection Point Biomedical Advisors: Other: Advisory board; Celgene: Other: Advisory board; Agios: Other: Advisory board. Leisch:Novartis: Honoraria, Other: Travel support; Bristol-Myers-Squibb: Honoraria; Celgene: Other: Travel support. Maciejewski:Alexion: Consultancy; Novartis: Consultancy. Kaivers:Jazz Pharmaceuticals: Other: Travel Support. Heibl:Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Honoraria; Roche: Honoraria; Daiichi Sankyo: Honoraria; Mundipharma: Honoraria; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; AOP Orphan Pharmaceuticals: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees. Geissler:Novartis: Honoraria; Roche: Honoraria; Abbvie: Honoraria; AstraZeneca: Honoraria; AOP: Honoraria; Celgene: Honoraria; Pfizer: Honoraria; Amgen: Honoraria; Ratiopharm: Honoraria. Valent:Blueprint: Research Funding; Pfizer: Honoraria; Deciphera: Honoraria, Research Funding; Celgene: Honoraria; Novartis: Consultancy, Honoraria, Research Funding. Medina de Almeida:Novartis: Speakers Bureau; Celgene: Speakers Bureau. Jerez:Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria. Germing:Novartis: Honoraria, Research Funding; Amgen: Honoraria; Celgene: Honoraria, Research Funding; Jazz Pharmaceuticals: Honoraria. Sekeres:Celgene: Membership on an entity's Board of Directors or advisory committees; Millenium: Membership on an entity's Board of Directors or advisory committees; Syros: Membership on an entity's Board of Directors or advisory committees. List:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Symeonidis:Gilead: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; MSD: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Research Funding; Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Research Funding; Tekeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Sanz:AbbVie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Boehringer-Ingelheim: Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Helsinn Healthcare: Membership on an entity's Board of Directors or advisory committees, Research Funding; Hoffman - La Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen - Cilag: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Onconova: Membership on an entity's Board of Directors or advisory committees, Research Funding. Greil:Boehringer Ingelheim: Honoraria; Amgen: Consultancy, Honoraria, Other: Travel/accomodation expenses, Research Funding; AstraZeneca: Consultancy, Honoraria, Other: Travel/accomodation expenses, Research Funding; Janssen-Cilag: Honoraria; Mundipharma: Honoraria, Research Funding; Merck: Consultancy, Honoraria, Research Funding; Eisai: Honoraria; Genentech: Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Other: Travel/accomodation expenses, Research Funding. OffLabel Disclosure: Azacitidine is not approved for the treatment of MP-CMML or CMML with <10% BM blasts, decitabine is not approved for treatment of CMML in the EU, hydroxyurea is not approved for the treatment of CMML in the EU