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Review

Risk-Adapted, Individualized Treatment Strategies of Myelodysplastic Syndromes (MDS) and Chronic Myelomonocytic Leukemia (CMML)

by
Jan Philipp Bewersdorf
and
Amer M. Zeidan
*
Department of Internal Medicine, Section of Hematology, Yale University School of Medicine, 333 Cedar Street, P.O. Box 208028, New Haven, CT 06520-8028, USA
*
Author to whom correspondence should be addressed.
Cancers 2021, 13(7), 1610; https://doi.org/10.3390/cancers13071610
Submission received: 7 March 2021 / Revised: 18 March 2021 / Accepted: 26 March 2021 / Published: 31 March 2021

Abstract

:

Simple Summary

Myelodysplastic syndrome (MDS) and chronic myelomonocytic leukemia (CMML) are two blood cancers with variable symptoms of low blood counts (fatigue, bleeding, infection risk) and risk of progression to acute myeloid leukemia. Management decisions should be guided by individual patient and disease characteristics and based on validated risk stratification tools. Supportive care with red blood cell transfusions and medications to stimulate blood cell production remains the mainstay of therapy for lower-risk MDS and CMML patients. For higher-risk patients, a bone marrow transplant is the only potentially curative option, but most patients are not candidates for this intensive therapy. In this case, the hypomethylating agents (HMA) azacitidine and decitabine are standard of care. However, response rates to HMA are low and responses are only transient highlighting the need for novel approaches. While an oral version of decitabine has been recently approved, several targeted therapies are in development, but none has been approved to date.

Abstract

Myelodysplastic syndrome (MDS) and chronic myelomonocytic leukemia (CMML) are two distinct blood cancers with a variable clinical symptom burden and risk of progression to acute myeloid leukemia. Management decisions should be guided by individual patient and disease characteristics and based on validated risk stratification tools. While supportive care with red blood cell transfusions, erythropoiesis-stimulating agents, and iron chelation remains the mainstay of therapy for lower-risk (LR)-MDS patients, luspatercept has recently been approved for transfusion-dependent anemic LR-MDS patients ending a decade without any new drug approvals for MDS. For higher-risk patients, allogeneic hematopoietic cell transplant (allo-HCT) remains the only curative therapy for both MDS and CMML but most patients are not eligible for allo-HCT. For those patients, the hypomethylating agents (HMA) azacitidine and decitabine remain standard of care with azacitidine being the only agent that has shown an overall survival benefit in randomized trials. Although early results from novel molecularly driven agents such as IDH1/2 inhibitors, venetoclax, magrolimab, and APR-246 for MDS as well as tagraxofusp, tipifarnib, and lenzilumab for CMML appear encouraging, confirmatory randomized trials must be completed to fully assess their safety and efficacy prior to routine clinical use. Herein, we review the current management of MDS and CMML and conclude with a critical appraisal of novel therapies and general trends in this field.

1. Introduction

Myelodysplastic syndromes (MDS) are a heterogeneous group of myeloid malignancies that are characterized by dysplasia of myeloid elements in the bone marrow, ineffective hematopoiesis leading to cytopenias, and a variable risk of progression to acute myeloid leukemia (AML) [1,2]. As clinical manifestations and prognosis are variable, several risk stratification tools have been developed to tailor management decisions to the individual patient with the International Prognostic Scoring System (IPSS) and its revised version IPSS-R being the most commonly used scoring tools [3,4,5]. Recently, those clinical-pathologic scoring systems have been supplemented by genetic and molecular assessments that improve risk stratification but may also be predictive of response to specific therapies such as SF3B1 mutations as a biomarker of response to luspatercept [6,7,8].
Overlap syndromes between MDS and myeloproliferative neoplasms (MPN) are rare and encompass various disease subtypes as defined by the 2016 World Health Organization classification of myeloid neoplasms and acute leukemia [9]. These include chronic myelomonocytic leukemia (CMML), atypical chronic myeloid leukemia, juvenile myelomonocytic leukemia, MDS/MPN with ring sideroblasts, and thrombocytosis (MDS/MPN-RS-T), and MDS/MPN unclassifiable with CMML being the most common subtype of MDS/MPN overlap syndromes [9]. Recently, the genetic landscape of CMML has been increasingly elucidated and mutations in TET2 (~60%), SRSF2 (~50%), ASXL1 (~40%), and SETBP1 (~15%) are common but not specific for CMML [10,11].
Treatment decisions for both MDS and CMML should focus on the individual patient and options range from observation to supportive care with red blood cell (RBC) transfusions and erythropoiesis-stimulating agents (ESA) to hypomethylating agents (HMA) and ultimately allogeneic hematopoietic cell transplant (allo-HCT) [1,10,12,13,14].

2. Risk Stratification in MDS and CMML as the Basis for Treatment Selection

Treatment selection for the individual MDS patient is driven by disease risk and symptom burden. Both in routine clinical practice and for clinical trial enrollment IPSS and IPSS-R are the most commonly used risk stratification tools, which predict both median overall survival (OS) and 25% AML progression rate [4,5]. However, both scores are only validated for the time of diagnosis and have limitations in specific subgroups of MDS patients such as those with therapy-related or lower-risk MDS (LR-MDS) or at the time of HMA failure for which specific scoring systems have been developed but are not widely used [15,16,17].
More recently, molecular testing has become more widely available and somatic mutations in genes such as EZH2, SF3B1, and TP53 have been shown to provide additional prognostic information when added to conventional clinical-pathologic scores [18,19]. As exemplified by TP53, the prognostic impact of mutations should not be interpreted in isolation as the prognostic impact of TP53 mutations, for example, depends on the presence of a complex karyotype or the specific type of TP53 mutation [6,20]. With the exception of SF3B1 mutations, the influence of somatic mutations on the response to HMA treatment is controversial with some studies having identified TET2 mutations as predictive markers for response to HMA [21,22,23].
Conventional risk stratification tools such as IPSS and IPSS-R are of limited use for CMML patients and dedicated scores such as the MD Anderson prognostic system (MDAPS) and the CMML-specific prognostic scoring system (CPSS) have been developed [24,25]. Following advances in molecular diagnostics, additional prognostic scoring systems incorporating molecular data have been developed with mutations in RUNX1, NRAS, SETBP1, and ASXL1 having been associated with adverse outcomes [26,27,28]. Figure 1 and Figure 2 provide a summary of selected risk stratification tools.

3. Treatment Algorithm for MDS

Treatment of patients with LR-MDS as defined by IPSS-R score of ≤3.5 points are treated along a spectrum reaching from surveillance to supportive care with ESA and blood transfusions as well as HMA, immunosuppressive therapy, or lenalidomide based on symptom burden and disease characteristics [2,31,32,33]. Figure 3 provides a potential treatment algorithm for MDS patients adapted from European and American panel recommendations and expert opinions [1,2,31,33,34].

3.1. Lower-Risk MDS

Anemia is the most common symptom in patients with LR-MDS and is treated symptomatically based on individual patient factors [1,35]. Supportive care with ESA is the standard of care for patients with serum erythropoietin (EPO) levels below 200 U/L with studies showing a decreasing efficacy with higher serum EPO levels [33,36,37]. Other predictors of a higher likelihood of response to ESA include lower IPSS scores, shorter disease duration, and a lower bone marrow blast percentage [36,37,38]. While ESA have been shown to improve quality of life, and treatment with the combination of ESA and the granulocyte colony-stimulating factor (G-CSF) can be more effective than with ESA alone, overall response rates (ORR) for ESA +/− G-CSF have been reported to be only 34–46% in clinical trials and prospective studies [39,40,41]. Additionally, responses to ESA are only transient with median response durations of 11–23 months [39,40]. As such, many patients will eventually become RBC transfusion-dependent and additional supportive care measures such as iron chelation are necessary. In the recently published randomized TELESTO trial, iron chelation with deferasirox has been shown to prolong event-free survival (EFS; defined as a composite of worsening cardiac function, hospitalization for congestive heart failure, liver function impairment, cirrhosis, and transformation to AML) compared to placebo in transfusion-dependent patients with low- or intermediate-1 risk MDS (3.9 years [95% confidence interval [CI]: 3.2–4.3 years] vs. 3.0 years [2.2–3.7 years]; hazard ratio [HR]: 0.64 [0.42–0.96]) [42]. Of note, this difference was primarily driven by a lower rate of heart failure hospitalizations, and no OS benefit was shown [42]. Additionally, the study was limited by slow accrual which necessitated conversion from a phase III to a phase II design and enrollment of only 210 instead of the planned 630 patients [42].
In the 5–15% of MDS patients with del(5q), lenalidomide has been shown in clinical trials to lead to transfusion independence in 67% of patients with 45% achieving a complete cytogenetic response in a non-randomized trial [43]. However, neutropenia and thrombocytopenia can have dose—and treatment-limiting side effects which have been reported in up to 55% and 44% of patients, respectively [43]. A statistically significant improvement in transfusion independence (56.1% and 42.6% vs. 5.9%; both p < 0.001) and complete cytogenetic response rates (29.4% vs. 15.6% vs. 0%) was also seen in a subsequent randomized, placebo-controlled phase III trial comparing lenalidomide 10 mg/day on days 1–21 with lenalidomide 5 mg/day on days 1–28 of 28-day cycles and placebo [44]. However, there was no OS benefit with lenalidomide for the entire study population but patients who achieved RBC-TI for at least 8 weeks experienced a reduction in the relative risk of AML progression and death [44]. Although off-label, transfusion-dependent MDS patients without del(5q) also appeared to benefit from lenalidomide with or without an ESA in terms of RBC-TI although at a numerically lower rate [45,46]. Special considerations regarding lenalidomide use include the lower rate of response in patients with TP53 mutations and its role in LR-MDS patients who are not transfusion-dependent [47,48]. The latter question is currently addressed in a randomized phase III clinical trial (NCT01243476).
The activin receptor ligand trap luspatercept interferes with signaling via the transforming growth factor (TGF)-β pathway, which has been associated with ineffective erythropoiesis in MDS [49,50,51]. Luspatercept was initially tested in the single-arm phase II PACE-MDS trial and showed rates of HI-E and RBC-TI of 63% and 38%, respectively, in LR-MDS and CMML patients treated with luspatercept with higher response rates in patients with ring sideroblasts and those with SF3B1 and spliceosome mutations [52]. This led to the randomized, double-blind, placebo-controlled, phase III MEDALIST trial that enrolled 229 LR-MDS patients with transfusion-dependence or who were refractory or unlikely to respond to ESA and randomized participants in a 2:1 ratio to luspatercept or placebo [7]. The primary outcome of RBC-TI for ≥8 weeks was reached by 38% in the luspatercept group and 13% with placebo (p < 0.001), with an overall favorable safety profile [7]. Subgroup analyses of the MEDALIST trial showed that RBC-TI was achieved independent of co-mutations (including high-risk mutations), did not impact quality of life, had comparable efficacy in patients with MDS/MPN-RS-T, and appeared to yield improvements in platelet (HI-P) and neutrophil counts (HI-N) [53,54,55,56]. Based on those results, luspatercept has been approved by the United States Food and Drug Administration for ESA-refractory, transfusion-dependent patients with MDS with ring sideroblasts or MDS/MPN-RS-T. Whether luspatercept is also effective in ESA-naïve, LR-MDS patients and in those without ring sideroblasts, is currently being studied in the randomized phase III COMMANDS trial (NCT03682536) [57].
Immunosuppressive therapy primarily with cyclosporine A and anti-thymocyte globulin (ATG) can be an effective therapy for anemia in selected patients with LR-MDS. In the only randomized trial comparing ATG with or without cyclosporine A, hematologic responses were seen in 29% of patients in the combination arm vs. 9% in the ATG monotherapy arm (p = 0.016) [58]. Slightly higher response rates (ORR of 48.8% with 30% RBC-TI) have been reported for various immunosuppressive therapy regimens in a retrospective multicenter study with ATG + cyclosporine A being the most effective regimen as well as a systematic review and meta-analysis of 22 studies (ORR 42.5%, 33.4% RBC-TI) [59,60]. However, data on biomarkers predicting response to immunosuppressive therapy is mixed but the National Comprehensive Cancer Network (NCCN) recommends that patients ≤60 years, with ≤5% bone marrow blasts, hypocellular bone marrow, PNH clones, or STAT-3 mutant T-cell clones should be considered for immunosuppressive therapy [2,59,61].
While anemia is the most common symptom in MDS patients, neutropenia and thrombocytopenia occur in 15–20% and 50% of patients with MDS, respectively [62,63]. Supportive care with G-CSF can be considered for selected patients with neutropenia in the setting of recurrent infections. The thrombopoietin (TPO) mimetics romiplostim and eltrombopag have been evaluated in various clinical trials and have yielded platelet responses in 46–61% of patients with a reduction in bleeding events and no increase in AML transformation rate [64,65,66,67]. Recent trials have especially focused on eltrombopag alone or in combination with AZA. In a randomized phase II trial of patients with LR-MDS and thrombocytopenia (platelet count <30 × 109/L) comparing eltrombopag with placebo, platelet responses by week 24 were seen in 47% vs. 3% (odds ratio 27.1 [95% CI 3.5–211.9], p = 0.0017), which also led to a reduction in bleeding events with eltrombopag [66]. While grade 3/4 adverse events were more common with eltrombopag (46% vs. 16%; p = 0.0053), the risk of AML transformation was similar (12% vs. 16%; p = 0.81) [66]. Similar results have been reported from another randomized phase II trial of eltrombopag vs. placebo in HR-MDS or AML patients with thrombocytopenia (platelet count <25 × 109/L) that showed a reduction in clinically relevant thrombocytopenic events (defined as a composite of grade ≥3 hemorrhagic adverse events, platelet counts <10 × 109/L or platelet transfusions) with eltrombopag (54% [95% CI 43–64%] vs. 69% [95% CI 57–80%]; odds ratio 0.20 [95% CI 0.05–0.87]; p = 0.032) [67]. Conversely, the combination of AZA and eltrombopag was inferior to AZA alone in a randomized phase III trial (NCT02158936) of HR-MDS patients with thrombocytopenia (platelet count <75 × 109/L) in terms of platelet transfusion independence (16% vs. 31%) and ORR (20% vs. 35%) without any differences in hematologic improvement in any cell line but higher rates of adverse events [68]. Given the conflicting results, it is important to note that TPO mimetics have not been approved for the treatment of thrombocytopenia in MDS yet and additional clinical trials are necessary (e.g., NCT01286038, NCT01893372).
The hypomethylating agents (HMA) azacitidine (AZA) and decitabine (DEC) are only approved in the US but not in Europe for the treatment of LR-MDS and have been reported to achieve RBC-TI rates of 16–32% and cytogenetic responses in up to 61% of patients in clinical trials [69,70]. However, they are mostly reserved for the second-line setting and for younger patients with higher risk genetic features.

3.2. Higher-Risk MDS

While symptomatic management and supportive care are the mainstay of therapy for patients with LR-MDS, patients with higher-risk MDS (HR-MDS; i.e., IPSS-R > 3.5) have a substantial risk of progression to AML and a reduced life-expectancy warranting a more aggressive, disease-modifying approach [5,33]. A proposed treatment algorithm is presented in Figure 3.
Similar to LR-MDS patients, high-quality supportive care based on the presence of cytopenias and symptoms with ESA, blood product transfusion, iron chelation therapy, and antimicrobial prophylaxis in neutropenic patients is of paramount importance also in HR-MDS patients who are even more likely to experience symptoms of bone marrow failure [1,2,33]. However, the use of TPO mimetics and G-CSF should be carefully considered due to concern about the increase in blast counts and potentially accelerated AML transformation with growth factor use [64,71]. While more data are needed for a final assessment, more recent data suggest that TPO mimetics are not related to higher rates of AML [72,73].
Allogeneic hematopoietic cell transplant (allo-HCT) remains the only potentially curative therapeutic modality for MDS and should be considered for all eligible patients with HR-MDS and potentially even for LR-MDS with adverse genetic features such as TP53 mutations or complex karyotypes [12,74]. Recent data from the European Society of Blood and Bone Marrow Transplantation registry have reported rates of 5-year and 10-year OS of 43% and 35%, respectively [75]. However, the non-relapse mortality at 10 years was similarly high at 34% which highlights the need for careful patient selection [75]. While advanced age has been associated with higher rates of peri-HCT mortality, the wider use of reduced-intensity conditioning regimens has increased the number of eligible patients and the safety of allo-HCT in patients older than 70 years has been shown as well [75,76]. The optimal timing of referral for allo-HCT (i.e., before or after HMA failure) and the role of pre-transplant cytoreductive therapy with intensive chemotherapy or HMA remains debatable [74]. General recommendations include consideration of allo-HCT in patients experiencing HMA failure and to use cytoreductive therapy prior to allo-HCT to achieve a bone marrow blast count of <10% as higher pre-transplant blast percentage has been shown to negatively impact outcomes [74,77]. However, it is important to note that patients with certain high-risk genetic features such as TP53 or RAS pathway mutations remain at high risk of relapse even after transplant and that the median OS among patients with HMA failure undergoing allo-HCT in clinical trials has been only 19.5 months [78,79,80].
For the majority of HR-MDS patients, the HMAs AZA and DEC remain the mainstay of frontline therapy. AZA has been the only agent shown to have a statistically significant OS benefit in randomized clinical trials in MDS based on data from the AZA-001 trial [81]. Compared to conventional care regimens (best-supportive care, low-dose cytarabine, intensive chemotherapy), AZA led to a 9.5 month OS benefit (24.5 months vs. 15.0 months; p < 0.001) with ORR of 51% but only 17% achieving a CR [81]. However, this OS benefit has been more nuanced in subsequent clinical trials and real-world registry studies [82,83,84]. Response predictors to HMA have not been consistently identified but include better performance status, absence of adverse cytogenetics, and lower transfusion burden, as well as DNMT3A and TET2 mutations [22,85,86]. Unlike AZA, DEC has not been shown to have an OS benefit but demonstrated a higher response rate, prolonged time to AML progression, and improvements in quality of life in randomized clinical trials [87,88]. It is important to emphasize that adherence to the approved HMA administration schedule and continuation of therapy following achievement of response is important as premature treatment discontinuation or extended treatment interruptions might lead to a loss of response that may not be regained upon resumption of therapy [89,90].
In an attempt to improve response rates to HMA, as well as to increase patient comfort by oral administration, several novel HMAs have been developed [13]. Guadecitabine is a DEC analog that is resistant to degradation by cytidine deaminase and could therefore lead to prolonged exposure and more sustained epigenetic effects [91]. In an open-label phase I/II trial of 105 patients with HR-MDS, guadecitabine had an ORR of 51% of treatment-naïve and 43% in HMA-failure patients [91]. However, the subsequent randomized phase III trial (ASTRAL-3; NCT02907359) comparing guadecitabine with physicians’ choice of low dose cytarabine, standard intensive chemotherapy (7 + 3 regimen of cytarabine and an anthracycline) or best supportive care only has reportedly been negative with regard to the primary outcome of OS although the results have not been published in a peer-reviewed journal yet and subgroup and secondary endpoint analysis might be informative [92].
ASTX727 is an oral DEC analog that combines DEC with the cytidine deaminase inhibitor cedazuridine, which inhibits DEC degradation in the gastrointestinal tract and increases its oral bioavailability. In a recent randomized, cross-over trial ASTX727 showed comparable bioavailability to DEC with an ORR of 62% and 16% CRs leading to the FDA approval of ASTX727 [93]. An oral, but not bioequivalent formulation of AZA (CC-486), has recently been approved for maintenance therapy in AML patients in CR following intensive chemotherapy who are not proceeding to allo-HCT, but data in MDS are limited [94]. In a phase II study of 31 patients (18 MDS, 4 CMML, 9 AML), ORR among MDS/CMML patients was 32% with 33% RBC-TI and a safety profile that was comparable to injectable AZA [95]. Results from another trial using either a 14-day or 21-day dosing schedule of CC-486 in patients with LR-MDS showed ORR of up to 46%, however, with a substantial burden of adverse events (grade 3/4 up to 48%) [96]. An additional study highlighted the efficacy of CC-486 in patients with baseline thrombocytopenia [97]. However, the role of CC-486 in MDS will need to be further defined by the final results of the phase III trial of CC-486 vs. placebo in transfusion-dependent LR-MDS patients (NCT01566695) that has fully accrued.
Attempts to increase response rates of HMA monotherapy in MDS have largely been unsuccessful in randomized clinical trials combining AZA with lenalidomide or histone deacetylase inhibitors such as vorinostat or entinostat [82,98]. However, several promising new combination therapies have been evaluated recently. The BCL-2 inhibitor venetoclax has been approved in combination with HMA or low-dose cytarabine for the frontline treatment of older and chemotherapy-ineligible patients with AML and is currently being studied in combination with AZA in the HMA-failure and HMA-naïve setting in MDS [99,100]. In a phase Ib study of 78 HMA-naïve HR-MDS patients, the combination of venetoclax and AZA led to an ORR of 79% with 39.7% CRs and 65% transfusion independence [101]. With a median time on the study of 16.4 months, the 24-month OS estimate was 59.6% (95% CI: 43–72.8%), which compares favorably to historic controls of AZA monotherapy including the AZA-001 trial [81,101]. However, 96% of patients experienced grade 3/4 adverse events including 49% febrile neutropenia, which highlights the added myelosuppressive effect of venetoclax [101]. In a similar trial of 44 patients with R/R-MDS, AZA + venetoclax showed an ORR of 39% with 7% CRs and 32% marrow CR (mCR; 43% of those with hematologic improvement) and a median OS of 12.3 months [102]. Interestingly, OS was independent of the IPSS-R risk category and blast count percentage with TP53 mutations being the only marker associated with inferior OS [102]. While those results appear encouraging, it is important to await the completion of larger, randomized trials to confidently assess whether venetoclax-based combinations can be a safe and effective option in MDS.
Additional combination therapies using an HMA backbone in combination with immune checkpoint inhibitors have been presented. Small, single-arm studies suggested additive effects for combinations of HMA with immune checkpoint inhibitors. However, those results could not be replicated in a randomized phase II trial of HMA-naïve, older MDS and AML patients. In this trial, the addition of the anti-PD-L1 inhibitor durvalumab to AZA did not improve ORR, median OS, or PFS compared to AZA monotherapy [103,104,105,106]. Several large randomized trials in the frontline, HMA-naïve setting that combine HMAs with the anti-CD47 antibody magrolimab (ENHANCE trial; NCT04313881), the anti-TIM3 antibody sabatolimab (MBG-453; STIMULUS program; e.g., NCT03946670, NCT04266301), or the anti-CD70 antibody cusatuzumab (NCT04264806) are ongoing. Finally, the neural precursor cell expressed, developmentally downregulated 8 (NEDD8)-activating enzyme inhibitor pevonedistat is currently being tested in randomized phase III trials in combination with AZA but did not show a difference in OS (21.8 vs. 19.0 months; HR 0.80; 95% CI 0.51–1.26; p = 0.334) [107]. However, several secondary endpoints such as EFS, progression to AML, higher rates of transfusion independence, and lower transfusion burden seemed to favor the combination arm [107]. Additionally, greater benefits in patients with high and very high-risk MDS have been reported in subgroup analyses [107].
Intensive chemotherapy with anthracycline/cytarabine-based regimens can be an effective option for patients failing HMA and as a bridge to allo-HCT [12,108]. In the absence of direct comparisons with HMAs, the rates of ORR and CR with intensive chemotherapy and HMA in the frontline setting appear comparable and patients with adverse genetic features appear to be less sensitive to intensive chemotherapy but might derive benefit from HMA [81,109,110]. CPX-351, a liposomal formulation of cytarabine and anthracycline, has been approved for newly-diagnosed therapy-related AML or AML with myelodysplasia-related changes [111]. Whether it is effective in HR-MDS patients is currently being studied in clinical trials but its role—if any—is likely limited to the HMA-failure setting although both frontline (NCT03572764, NCT04273802) and relapsed/refractory trials are ongoing (NCT04109690, NCT03957876).

4. Treatment Algorithm for CMML

Dedicated trials in CMML patients are very rare and AZA and DEC remain the only agents approved for CMML in the US based on the inclusion of a small number of CMML patients in the pivotal AZA-001 and CALBG studies [10,81,112]. However, treatment with hydroxyurea in CMML patients with advanced myeloproliferative features remains another cornerstone of therapy. Figure 4 illustrates a potential treatment algorithm for CMML patients.
The efficacy of HMA in CMML is overall comparable with results from MDS studies. In a recent phase II study of DEC in 43 higher-risk CMML patients from Italy, the ORR was 47.6% with 16.6% CRs and a median OS of 17 months [113]. Similar but variable results have been reported from retrospective case series, clinical trial subgroup analyses, and population-based studies that reported median OS of 17–24 months and ORR of 25–71% (CR: 10–41%) although the patients included in those studies are rather heterogeneous in terms of disease risk, treatment, and demographic characteristics [114,115,116,117,118]. Identifying patients who are more likely to benefit from HMA is challenging but based on a large retrospective analysis of 949 CMML patients (412 treated with HMA), patients with higher-risk CMML by CPSS and those with myeloproliferative CMML appeared to benefit the most [115]. On a molecular level, no mutations (including ASXL1 and TET2) consistently predicted response or survival in DEC-treated CMML patients [118,119,120].
While several new, CMML-specific therapies are in development and are being discussed in the future directions section, none of those has garnered regulatory approval yet and allo-HCT remains the only potentially curative therapy. Similar to MDS, the timing of allo-HCT referral and patient selection needs to be carefully evaluated given the potential risk of transplant-associated morbidity and mortality [74]. In the absence of prospective studies, data on the safety and efficacy of allo-HCT in CMML is derived only from retrospective studies. 5-year OS varies by baseline CPSS risk category and ranges between 44–68% and 19–40% for low/intermediate-1 and intermediate-2/high risk patients, respectively, and appears superior to non-transplant strategies in higher-risk patients with a 37% reduction in the hazard for death [121,122,123]. However, risk stratification by CPSS alone appears to have limitations [122]. Other prognostic factors predicting outcomes following allo-HCT include baseline performance status, abnormal karyotype, and graft source (inferior survival with bone marrow grafts) [121,123]. Although data are limited, pre-transplant HMA did not appear to improve outcomes in a retrospective single-center study, and strategies to optimize timing, non-transplant mortality, and relapse rates are needed [123].

5. Future Directions

Several novel therapies for both MDS and CMML are currently being evaluated in clinical trials (Table 1) [35]. The telomerase inhibitor imetelstat is being tested in the phase II/III IMerge trial (NCT02598661) that is enrolling ESA-refractory, transfusion-dependent LR-MDS patients. Preliminary data from the phase II part of the trial showed a 42% 8-week RBC-TI rate and a 32% 24-week RBC-TI rate but data from the randomized, placebo-controlled phase III portion are not available yet [124]. Another agent for the treatment of anemia in LR-MDS patients is roxadustat, an oral hypoxia-inducible factor (HIF)-prolyl hydroxylase inhibitor. The HIF pathway has been implicated in the regulation of hematopoiesis and roxadustat has been shown to increase hemoglobin and EPO levels as well as reductions in hepcidin in patients with chronic kidney disease in phase III trials [125]. In MDS, roxadustat is currently being studied in a phase II/III clinical trial of transfusion-dependent LR-MDS patients with serum EPO levels of <400 mIU/L (NCT03263091). Interim results of 24 enrolled patients have shown 8-week and 20-week RBC-TI of 38% and 17%, respectively, with efficacy across MDS subtypes and baseline EPO levels [126].
Thanks to the wider availability of molecular testing and advances in our understanding of the underlying disease biology, molecularly targeted therapies are also in development. Based on promising phase I/II data, APR-246, a p53-refolding agent, has been tested in a randomized phase III trial in TP53-mutant MDS, CMML, or AML (<30% blasts) patients in combination with AZA vs. AZA monotherapy. While single-arm studies showed ORR of 62–73% (47–50% CR) among TP53-mutated, HMA-naïve patients with MDS and CMML, the manufacturer has recently announced that the randomized phase III trial failed to reach its primary endpoint of OS but the publication of trial results needs to be awaited to evaluate if there are any subgroups who might benefit from APR-246 + AZA [127,128]. Similarly, the combination of the anti-CD-47 antibody magrolimab, in combination with AZA, is currently being studied in a randomized phase III trial against AZA monotherapy. While data from the phase I studies appear encouraging (ORR of 91% [30 out of 33 evaluable patients] in MDS with 42% CR rate), the reportedly negative results from the APR-246 trial should serve as a sign of caution [104]. Similar data have been reported for the combination of the anti-TIM3 antibody MBG453 with AZA in phase I trials that are currently being further evaluated in a randomized phase III trial [105,129]. Other promising targeted therapies include the IDH1/2 inhibitors ivosidenib and enasidenib which are either tested as monotherapy or in combination with AZA in clinical trials currently (NCT03383575, NCT03744390, NCT03503409). Results from small, early phase clinical trials showed efficacy even in HMA-failure patients [130]. However, it is important to note that IDH1/2 mutations are rare in MDS and CMML and larger confirmatory trials are needed prior to routine use [10,18]. Nonetheless, the trend towards a more individualized, molecularly driven approach to patient care is likely going to continue.
Due to the rarity of the disease, dedicated trials in CMML patients have been difficult to conduct. However, several novel agents are currently being studied in early phase trials in CMML patients [10]. Tipifarnib is a farnesyltransferase inhibitor that is being studied in a phase II trial in CMML patients (NCT02807272) and was found to be well-tolerated but had only limited efficacy (1 out of 7 evaluable patients each with marrow and symptom response; other patients with stable or progressive disease) [131]. The anti-CD123 antibody tagraxofusp (SL-401) has been studied in a phase I/II trial (NCT02268253) with preliminary results from 18 HMA-refractory CMML patients and led to a spleen response in all patients (8 out of 8 patients with baseline splenomegaly) and mCRs in 2 patients [132]. Finally, the anti-GM-CSF antibody lenzilumab has been shown to be safe and moderately effective with an ORR of 33.3% by MDS/MPN IWG response criteria in a phase I trial of 15 CMML patients (NCT02546284) [133]. Notably, 3 out of 5 responses were seen in patients with NRAS mutations, which highlights that not only in MDS and AML but also in CMML patients, an individualized approach to treatment selection might be possible [133].
While most clinical trials in MDS use the MDS IWG 2006 response criteria, it has become increasingly clear that some of those criteria may not adequately capture patient-centered long-term outcomes [134]. For example, the RBC transfusion burden in LR-MDS patients might be fluctuating over time as evidenced by the 13% response rate seen with placebo in the MEDALIST trial [7]. As such short-term reductions in transfusion needs may not translate into long-term benefits and can lead to erroneously high response rates and trial eligibility, the IWG has proposed new response criteria with longer periods of transfusion-independence [135]. Similarly, it has been shown that mCR without hematologic improvement (HI) is prognostically similar to progressive disease in MDS patients and is inferior to HI or partial remission among HMA-treated MDS patients [136]. Especially with more myelosuppressive therapies such as venetoclax + AZA including mCR in the ORR could lead to an inflation of the ORR that does not correlate with OS. Furthermore, patient-centered outcomes such as a reduction in transfusion needs that are associated with HI are not captured by mCR. However, such revisions to clinical trials will take several years to implement but may allow for a better assessment of the benefits of a given novel therapy.

6. Conclusions

MDS and CMML are heterogenous disorders and management decisions should be guided by individual patient and disease characteristics. While supportive care is essential for all MDS patients and remains the mainstay of therapy for LR-MDS patients, luspatercept has recently been approved for transfusion-dependent anemic LR-MDS patients and several additional agents are undergoing advanced stages of clinical testing. Allo-HCT remains the only curative therapy for both MDS and CMML but despite the more frequent use of reduced-intensity conditioning regimens and alternative grafts, as well as advances in supportive care, the majority of patients are not eligible for allo-HCT and are treated with HMA. AZA remains the only agent that has shown an OS benefit in MDS and HMA monotherapy remains the standard of care for frontline management of HR-MDS. Molecularly driven agents such as IDH1/2 inhibitors, venetoclax, magrolimab, and APR-246 for MDS, as well as tagraxofusp, tipifarnib, and lenzilumab for CMML are being evaluated in various stages of clinical trials but more data are needed prior to their use in routine clinical practice.

Funding

There was no dedicated funding associated with this article.

Acknowledgments

A.M.Z. is a Leukemia and Lymphoma Society Scholar in Clinical Research and is also supported by a NCI’s Cancer Clinical Investigator Team Leadership Award (CCITLA). This research was partly funded by the National Cancer Institute of the National Institutes of Health under Award Number P30 CA016359. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Conflicts of Interest

A.M.Z. received research funding (institutional) from Celgene/BMS, Abbvie, Astex, Pfizer, Medimmune/AstraZeneca, Boehringer-Ingelheim, Trovagene/Cardiff oncology, Incyte, Takeda, Novartis, Aprea, and ADC Therapeutics. A.M.Z participated in advisory boards, and/or had a consultancy with and received honoraria from AbbVie, Otsuka, Pfizer, Celgene/BMS, Jazz, Incyte, Agios, Boehringer-Ingelheim, Novartis, Acceleron, Astellas, Daiichi Sankyo, Cardinal Health, Taiho, Seattle Genetics, BeyondSpring, Trovagene/Cardiff Oncology, Takeda, Ionis, Amgen, Janssen, Epizyme, Syndax, Gilead, Kura, and Tyme. A.M.Z served on clinical trial committees for Novartis, Abbvie, Geron and Celgene/BMS. A.M.Z received travel support for meetings from Pfizer, Novartis, and Cardiff Oncology. None of these relationships were related to the development of this manuscript. J.P.B. has no conflicts of interest to declare.

References

  1. Platzbecker, U. Treatment of MDS. Blood 2019, 133, 1096–1107. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Greenberg, P.L.; Stone, R.M.; Al-Kali, A.; Barta, S.K.; Bejar, R.; Bennett, J.M.; Carraway, H.; De Castro, C.M.; Deeg, H.J.; DeZern, A.E.; et al. Myelodysplastic Syndromes, Version 2.2017, NCCN Clinical Practice Guidelines in Oncology. J. Natl. Compr. Cancer Netw. 2017, 15, 60–87. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  3. Bewersdorf, J.P.; Zeidan, A.M. Prognostic Models in Myelodysplastic Syndromes. In Diagnosis and Management of Myelodysplastic Syndromes: A Clinical Guide; Nazha, A., Ed.; Springer International Publishing: Cham, Switzerland, 2020; pp. 109–127. [Google Scholar] [CrossRef]
  4. Greenberg, P.; Cox, C.; LeBeau, M.M.; Fenaux, P.; Morel, P.; Sanz, G.; Sanz, M.; Vallespi, T.; Hamblin, T.; Oscier, D.; et al. International scoring system for evaluating prognosis in myelodysplastic syndromes. Blood 1997, 89, 2079–2088. [Google Scholar] [CrossRef] [PubMed]
  5. Greenberg, P.L.; Tuechler, H.; Schanz, J.; Sanz, G.; Garcia-Manero, G.; Solé, F.; Bennett, J.M.; Bowen, D.; Fenaux, P.; Dreyfus, F.; et al. Revised international prognostic scoring system for myelodysplastic syndromes. Blood 2012, 120, 2454–2465. [Google Scholar] [CrossRef] [PubMed]
  6. Bernard, E.; Nannya, Y.; Hasserjian, R.P.; Devlin, S.M.; Tuechler, H.; Medina-Martinez, J.S.; Yoshizato, T.; Shiozawa, Y.; Saiki, R.; Malcovati, L.; et al. Implications of TP53 allelic state for genome stability, clinical presentation and outcomes in myelodysplastic syndromes. Nat. Med. 2020. [Google Scholar] [CrossRef]
  7. Fenaux, P.; Platzbecker, U.; Mufti, G.J.; Garcia-Manero, G.; Buckstein, R.; Santini, V.; Diez-Campelo, M.; Finelli, C.; Cazzola, M.; Ilhan, O.; et al. Luspatercept in Patients with Lower-Risk Myelodysplastic Syndromes. N. Engl. J. Med. 2020, 382, 140–151. [Google Scholar] [CrossRef]
  8. Bejar, R.; Papaemmanuil, E.; Haferlach, T.; Garcia-Manero, G.; Maciejewski, J.P.; Sekeres, M.A.; Walter, M.J.; Graubert, T.A.; Cazzola, M.; Malcovati, L.; et al. Somatic Mutations in MDS Patients Are Associated with Clinical Features and Predict Prognosis Independent of the IPSS-R: Analysis of Combined Datasets from the International Working Group for Prognosis in MDS-Molecular Committee. Blood 2015, 126, 907. [Google Scholar] [CrossRef]
  9. Arber, D.A.; Orazi, A.; Hasserjian, R.; Thiele, J.; Borowitz, M.J.; Le Beau, M.M.; Bloomfield, C.D.; Cazzola, M.; Vardiman, J.W. The 2016 revision to the World Health Organization classification of myeloid neoplasms and acute leukemia. Blood 2016, 127, 2391–2405. [Google Scholar] [CrossRef]
  10. Patnaik, M.M.; Tefferi, A. Chronic Myelomonocytic leukemia: 2020 update on diagnosis, risk stratification and management. Am. J. Hematol. 2020, 95, 97–115. [Google Scholar] [CrossRef] [Green Version]
  11. Valent, P.; Orazi, A.; Savona, M.R.; Patnaik, M.M.; Onida, F.; van de Loosdrecht, A.A.; Haase, D.; Haferlach, T.; Elena, C.; Pleyer, L.; et al. Proposed diagnostic criteria for classical chronic myelomonocytic leukemia (CMML), CMML variants and pre-CMML conditions. Haematologica 2019, 104, 1935–1949. [Google Scholar] [CrossRef]
  12. Bewersdorf, J.P.; Carraway, H.; Prebet, T. Emerging treatment options for patients with high-risk myelodysplastic syndrome. Ther. Adv. Hematol. 2020, 11, 2040620720955006. [Google Scholar] [CrossRef]
  13. Bewersdorf, J.P.; Zeidan, A.M. Following in the footsteps of acute myeloid leukemia: Are we witnessing the start of a therapeutic revolution for higher-risk myelodysplastic syndromes? Leuk. Lymphoma 2020, 1–18. [Google Scholar] [CrossRef]
  14. Cazzola, M. Myelodysplastic Syndromes. N. Engl. J. Med. 2020, 383, 1358–1374. [Google Scholar] [CrossRef]
  15. Nazha, A.; Komrokji, R.S.; Garcia-Manero, G.; Barnard, J.; Roboz, G.J.; Steensma, D.P.; DeZern, A.E.; Zell, K.; Zimmerman, C.; Ali, N.A.; et al. The efficacy of current prognostic models in predicting outcome of patients with myelodysplastic syndromes at the time of hypomethylating agent failure. Haematologica 2016, 101, e224–e227. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Garcia-Manero, G.; Shan, J.; Faderl, S.; Cortes, J.; Ravandi, F.; Borthakur, G.; Wierda, W.G.; Pierce, S.; Estey, E.; Liu, J.; et al. A prognostic score for patients with lower risk myelodysplastic syndrome. Leukemia 2008, 22, 538–543. [Google Scholar] [CrossRef] [PubMed]
  17. Quintás-Cardama, A.; Daver, N.; Kim, H.; Dinardo, C.; Jabbour, E.; Kadia, T.; Borthakur, G.; Pierce, S.; Shan, J.; Cardenas-Turanzas, M.; et al. A prognostic model of therapy-related myelodysplastic syndrome for predicting survival and transformation to acute myeloid leukemia. Clin. Lymphoma Myeloma Leuk. 2014, 14, 401–410. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Haferlach, T.; Nagata, Y.; Grossmann, V.; Okuno, Y.; Bacher, U.; Nagae, G.; Schnittger, S.; Sanada, M.; Kon, A.; Alpermann, T.; et al. Landscape of genetic lesions in 944 patients with myelodysplastic syndromes. Leukemia 2014, 28, 241–247. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  19. Nazha, A.; Narkhede, M.; Radivoyevitch, T.; Seastone, D.J.; Patel, B.J.; Gerds, A.T.; Mukherjee, S.; Kalaycio, M.; Advani, A.; Przychodzen, B.; et al. Incorporation of molecular data into the Revised International Prognostic Scoring System in treated patients with myelodysplastic syndromes. Leukemia 2016, 30, 2214–2220. [Google Scholar] [CrossRef]
  20. Haase, D.; Stevenson, K.E.; Neuberg, D.; Maciejewski, J.P.; Nazha, A.; Sekeres, M.A.; Ebert, B.L.; Garcia-Manero, G.; Haferlach, C.; Haferlach, T.; et al. TP53 mutation status divides myelodysplastic syndromes with complex karyotypes into distinct prognostic subgroups. Leukemia 2019, 33, 1747–1758. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  21. Malcovati, L.; Stevenson, K.; Papaemmanuil, E.; Neuberg, D.; Bejar, R.; Boultwood, J.; Bowen, D.T.; Campbell, P.J.; Ebert, B.L.; Fenaux, P.; et al. SF3B1-mutant MDS as a distinct disease subtype: A proposal from the International Working Group for the Prognosis of MDS. Blood 2020, 136, 157–170. [Google Scholar] [CrossRef]
  22. Bejar, R.; Lord, A.; Stevenson, K.; Bar-Natan, M.; Perez-Ladaga, A.; Zaneveld, J.; Wang, H.; Caughey, B.; Stojanov, P.; Getz, G.; et al. TET2 mutations predict response to hypomethylating agents in myelodysplastic syndrome patients. Blood 2014, 124, 2705–2712. [Google Scholar] [CrossRef]
  23. Hunter, A.M.; Komrokji, R.S.; Yun, S.; Al Ali, N.; Chan, O.; Song, J.; Hussaini, M.; Talati, C.; Sweet, K.L.; Lancet, J.E.; et al. Baseline and serial molecular profiling predicts outcomes with hypomethylating agents in myelodysplastic syndromes. Blood Adv. 2021, 5, 1017–1028. [Google Scholar] [CrossRef] [PubMed]
  24. Onida, F.; Kantarjian, H.M.; Smith, T.L.; Ball, G.; Keating, M.J.; Estey, E.H.; Glassman, A.B.; Albitar, M.; Kwari, M.I.; Beran, M. Prognostic factors and scoring systems in chronic myelomonocytic leukemia: A retrospective analysis of 213 patients. Blood 2002, 99, 840–849. [Google Scholar] [CrossRef] [PubMed]
  25. Such, E.; Germing, U.; Malcovati, L.; Cervera, J.; Kuendgen, A.; Della Porta, M.G.; Nomdedeu, B.; Arenillas, L.; Luño, E.; Xicoy, B.; et al. Development and validation of a prognostic scoring system for patients with chronic myelomonocytic leukemia. Blood 2013, 121, 3005–3015. [Google Scholar] [CrossRef]
  26. Elena, C.; Gallì, A.; Such, E.; Meggendorfer, M.; Germing, U.; Rizzo, E.; Cervera, J.; Molteni, E.; Fasan, A.; Schuler, E.; et al. Integrating clinical features and genetic lesions in the risk assessment of patients with chronic myelomonocytic leukemia. Blood 2016, 128, 1408–1417. [Google Scholar] [CrossRef]
  27. Palomo, L.; Garcia, O.; Arnan, M.; Xicoy, B.; Fuster, F.; Cabezón, M.; Coll, R.; Ademà, V.; Grau, J.; Jiménez, M.J.; et al. Targeted deep sequencing improves outcome stratification in chronic myelomonocytic leukemia with low risk cytogenetic features. Oncotarget 2016, 7, 57021–57035. [Google Scholar] [CrossRef] [PubMed]
  28. Palomo, L.; Meggendorfer, M.; Hutter, S.; Twardziok, S.; Ademà, V.; Fuhrmann, I.; Fuster-Tormo, F.; Xicoy, B.; Zamora, L.; Acha, P.; et al. Molecular landscape and clonal architecture of adult myelodysplastic/myeloproliferative neoplasms. Blood 2020, 136, 1851–1862. [Google Scholar] [CrossRef] [PubMed]
  29. Malcovati, L.; Germing, U.; Kuendgen, A.; Della Porta, M.G.; Pascutto, C.; Invernizzi, R.; Giagounidis, A.; Hildebrandt, B.; Bernasconi, P.; Knipp, S.; et al. Time-dependent prognostic scoring system for predicting survival and leukemic evolution in myelodysplastic syndromes. J. Clin. Oncol. 2007, 25, 3503–3510. [Google Scholar] [CrossRef] [PubMed]
  30. Della Porta, M.G.; Galli, A.; Bacigalupo, A.; Zibellini, S.; Bernardi, M.; Rizzo, E.; Allione, B.; van Lint, M.T.; Pioltelli, P.; Marenco, P.; et al. Clinical Effects of Driver Somatic Mutations on the Outcomes of Patients with Myelodysplastic Syndromes Treated with Allogeneic Hematopoietic Stem-Cell Transplantation. J. Clin. Oncol. 2016, 34, 3627–3637. [Google Scholar] [CrossRef] [PubMed]
  31. Malcovati, L.; Hellström-Lindberg, E.; Bowen, D.; Adès, L.; Cermak, J.; Del Cañizo, C.; Della Porta, M.G.; Fenaux, P.; Gattermann, N.; Germing, U.; et al. Diagnosis and treatment of primary myelodysplastic syndromes in adults: Recommendations from the European LeukemiaNet. Blood 2013, 122, 2943–2964. [Google Scholar] [CrossRef] [Green Version]
  32. Pfeilstöcker, M.; Tuechler, H.; Sanz, G.; Schanz, J.; Garcia-Manero, G.; Solé, F.; Bennett, J.M.; Bowen, D.; Fenaux, P.; Dreyfus, F.; et al. Time-dependent changes in mortality and transformation risk in MDS. Blood 2016, 128, 902–910. [Google Scholar] [CrossRef] [Green Version]
  33. Fenaux, P.; Platzbecker, U.; Ades, L. How we manage adults with myelodysplastic syndrome. Br. J. Haematol. 2020, 189, 1016–1027. [Google Scholar] [CrossRef]
  34. Santini, V. How I treat MDS after hypomethylating agent failure. Blood 2019, 133, 521–529. [Google Scholar] [CrossRef] [Green Version]
  35. Lewis, R.; Bewersdorf, J.P.; Zeidan, A.M. Clinical Management of Anemia in Patients with Myelodysplastic Syndromes: An Update on Emerging Therapeutic Options. Cancer Manag. Res. 2021, 13, 645–657. [Google Scholar] [CrossRef] [PubMed]
  36. Park, S.; Grabar, S.; Kelaidi, C.; Beyne-Rauzy, O.; Picard, F.; Bardet, V.; Coiteux, V.; Leroux, G.; Lepelley, P.; Daniel, M.T.; et al. Predictive factors of response and survival in myelodysplastic syndrome treated with erythropoietin and G-CSF: The GFM experience. Blood 2008, 111, 574–582. [Google Scholar] [CrossRef] [PubMed]
  37. Santini, V.; Schemenau, J.; Levis, A.; Balleari, E.; Sapena, R.; Adès, L.; Guerci, A.; Beyne-Rauzy, O.; Gourin, M.-P.; Cheze, S.; et al. Can the revised IPSS predict response to erythropoietic-stimulating agents in patients with classical IPSS low or intermediate-1 MDS? Blood 2013, 122, 2286–2288. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  38. Park, S.; Fenaux, P.; Greenberg, P.; Mehta, B.; Callaghan, F.; Kim, C.; Tomita, D.; Xu, H. Efficacy and safety of darbepoetin alpha in patients with myelodysplastic syndromes: A systematic review and meta-analysis. Br. J. Haematol. 2016, 174, 730–747. [Google Scholar] [CrossRef]
  39. Hellström-Lindberg, E.; Gulbrandsen, N.; Lindberg, G.; Ahlgren, T.; Dahl, I.M.S.; Dybedal, I.; Grimfors, G.; Hesse-Sundin, E.; Hjorth, M.; Kanter-Lewensohn, L.; et al. A validated decision model for treating the anaemia of myelodysplastic syndromes with erythropoietin + granulocyte colony-stimulating factor: Significant effects on quality of life. Br. J. Haematol. 2003, 120, 1037–1046. [Google Scholar] [CrossRef] [PubMed]
  40. Fenaux, P.; Santini, V.; Spiriti, M.A.A.; Giagounidis, A.; Schlag, R.; Radinoff, A.; Gercheva-Kyuchukova, L.; Anagnostopoulos, A.; Oliva, E.N.; Symeonidis, A.; et al. A phase 3 randomized, placebo-controlled study assessing the efficacy and safety of epoetin-α in anemic patients with low-risk MDS. Leukemia 2018, 32, 2648–2658. [Google Scholar] [CrossRef] [Green Version]
  41. Greenberg, P.L.; Sun, Z.; Miller, K.B.; Bennett, J.M.; Tallman, M.S.; Dewald, G.; Paietta, E.; van der Jagt, R.; Houston, J.; Thomas, M.L.; et al. Treatment of myelodysplastic syndrome patients with erythropoietin with or without granulocyte colony-stimulating factor: Results of a prospective randomized phase 3 trial by the Eastern Cooperative Oncology Group (E1996). Blood 2009, 114, 2393–2400. [Google Scholar] [CrossRef] [Green Version]
  42. Angelucci, E.; Li, J.; Greenberg, P.; Wu, D.; Hou, M.; Montano Figueroa, E.H.; Rodriguez, M.G.; Dong, X.; Ghosh, J.; Izquierdo, M.; et al. Iron Chelation in Transfusion-Dependent Patients with Low- to Intermediate-1-Risk Myelodysplastic Syndromes: A Randomized Trial. Ann. Intern. Med. 2020, 172, 513–522. [Google Scholar] [CrossRef]
  43. List, A.; Dewald, G.; Bennett, J.; Giagounidis, A.; Raza, A.; Feldman, E.; Powell, B.; Greenberg, P.; Thomas, D.; Stone, R.; et al. Lenalidomide in the myelodysplastic syndrome with chromosome 5q deletion. N. Engl. J. Med. 2006, 355, 1456–1465. [Google Scholar] [CrossRef] [Green Version]
  44. Fenaux, P.; Giagounidis, A.; Selleslag, D.; Beyne-Rauzy, O.; Mufti, G.; Mittelman, M.; Muus, P.; Te Boekhorst, P.; Sanz, G.; Del Canizo, C.; et al. A randomized phase 3 study of lenalidomide versus placebo in RBC transfusion-dependent patients with Low-/Intermediate-1-risk myelodysplastic syndromes with del5q. Blood 2011, 118, 3765–3776. [Google Scholar] [CrossRef]
  45. Santini, V.; Almeida, A.; Giagounidis, A.; Gropper, S.; Jonasova, A.; Vey, N.; Mufti, G.J.; Buckstein, R.; Mittelman, M.; Platzbecker, U.; et al. Randomized Phase III Study of Lenalidomide Versus Placebo in RBC Transfusion-Dependent Patients with Lower-Risk Non-del(5q) Myelodysplastic Syndromes and Ineligible for or Refractory to Erythropoiesis-Stimulating Agents. J. Clin. Oncol. 2016, 34, 2988–2996. [Google Scholar] [CrossRef]
  46. Toma, A.; Kosmider, O.; Chevret, S.; Delaunay, J.; Stamatoullas, A.; Rose, C.; Beyne-Rauzy, O.; Banos, A.; Guerci-Bresler, A.; Wickenhauser, S.; et al. Lenalidomide with or without erythropoietin in transfusion-dependent erythropoiesis-stimulating agent-refractory lower-risk MDS without 5q deletion. Leukemia 2016, 30, 897–905. [Google Scholar] [CrossRef]
  47. Mossner, M.; Jann, J.C.; Nowak, D.; Platzbecker, U.; Giagounidis, A.; Gotze, K.; Letsch, A.; Haase, D.; Shirneshan, K.; Braulke, F.; et al. Prevalence, clonal dynamics and clinical impact of TP53 mutations in patients with myelodysplastic syndrome with isolated deletion (5q) treated with lenalidomide: Results from a prospective multicenter study of the german MDS study group (GMDS). Leukemia 2016, 30, 1956–1959. [Google Scholar] [CrossRef]
  48. Oliva, E.N.; Lauseker, M.; Aloe Spiriti, M.A.; Poloni, A.; Cortelezzi, A.; Palumbo, G.A.; Balleari, E.; Sanpaolo, G.; Volpe, A.; Ricco, A.; et al. Early lenalidomide treatment for low and intermediate-1 International Prognostic Scoring System risk myelodysplastic syndromes with del(5q) before transfusion dependence. Cancer Med. 2015, 4, 1789–1797. [Google Scholar] [CrossRef] [PubMed]
  49. Bewersdorf, J.P.; Zeidan, A.M. Transforming growth factor (TGF)-beta pathway as a therapeutic target in lower risk myelodysplastic syndromes. Leukemia 2019, 33, 1303–1312. [Google Scholar] [CrossRef] [PubMed]
  50. He, W.; Dorn, D.C.; Erdjument-Bromage, H.; Tempst, P.; Moore, M.A.; Massague, J. Hematopoiesis controlled by distinct TIF1gamma and Smad4 branches of the TGFbeta pathway. Cell 2006, 125, 929–941. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  51. Suragani, R.N.; Cadena, S.M.; Cawley, S.M.; Sako, D.; Mitchell, D.; Li, R.; Davies, M.V.; Alexander, M.J.; Devine, M.; Loveday, K.S.; et al. Transforming growth factor-β superfamily ligand trap ACE-536 corrects anemia by promoting late-stage erythropoiesis. Nat. Med. 2014, 20, 408–414. [Google Scholar] [CrossRef] [PubMed]
  52. Platzbecker, U.; Germing, U.; Gotze, K.S.; Kiewe, P.; Mayer, K.; Chromik, J.; Radsak, M.; Wolff, T.; Zhang, X.; Laadem, A.; et al. Luspatercept for the treatment of anaemia in patients with lower-risk myelodysplastic syndromes (PACE-MDS): A multicentre, open-label phase 2 dose-finding study with long-term extension study. Lancet Oncol. 2017, 18, 1338–1347. [Google Scholar] [CrossRef]
  53. Platzbecker, U.; Dunshee, D.; Komrokji, R.S.; Mufti, G.J.; Garcia-Manero, G.; Buckstein, R.; Santini, V.; Díez-Campelo, M.; Sekeres, M.A.; See, W.L.; et al. Luspatercept Significantly Reduces Red Blood Cell (RBC) Transfusion Burden, Regardless of Gene Mutation Frequency, Spectrum, and Prognostic Significance, Among Patients (Pts) with LR-MDS Enrolled in the MEDALIST Trial. Blood 2019, 134. [Google Scholar] [CrossRef]
  54. Garcia-Manero, G.; Mufti, G.J.; Fenaux, P.; Buckstein, R.; Santini, V.; Díez-Campelo, M.; Finelli, C.; Cazzola, M.; Ilhan, O.; Sekeres, M.A.; et al. Hematologic Improvement-Neutrophil and -Platelet in the MEDALIST Trial: Multilineage Data from a Phase 3, Randomized, Double-Blind, Placebo-Controlled Study of Luspatercept to Treat Anemia in Patients with Very Low-, Low-, or Intermediate-Risk Myelodysplastic Syndromes (MDS) with Ring Sideroblasts (RS) Who Require Red Blood Cell (RBC) Transfusions. Blood 2019, 134, 4243. [Google Scholar] [CrossRef]
  55. Oliva, E.N.; Platzbecker, U.; Garcia-Manero, G.; Mufti, G.J.; Santini, V.; Sekeres, M.A.; Komrokji, R.S.; Shetty, J.K.; Tang, D.; Guo, S.; et al. Health-Related Quality of Life Outcomes in Patients with Myelodysplastic Syndromes with Ring Sideroblasts Treated with Luspatercept in the Medalist Study. Blood 2020, 136, 10–12. [Google Scholar] [CrossRef]
  56. Komrokji, R.S.; Platzbecker, U.; Fenaux, P.; Garcia-Manero, G.; Mufti, G.J.; Santini, V.; Diez-Campelo, M.; Finelli, C.; Jurcic, J.G.; Greenberg, P.L.; et al. Efficacy and Safety of Luspatercept Treatment in Patients with Myelodysplastic Syndrome/Myeloproliferative Neoplasm with Ring Sideroblasts and Thrombocytosis (MDS/MPN-RS-T): A Retrospective Analysis from the Medalist Study. Blood 2020, 136, 13–15. [Google Scholar] [CrossRef]
  57. Della Porta, M.; Platzbecker, U.; Santini, V.; Garcia-Manero, G.; Komrokji, R.S.; Ito, R.; Fenaux, P. The Commands Trial: A Phase 3 Study of the Efficacy and Safety of Luspatercept Versus Epoetin Alfa for the Treatment of Anemia Due to IPSS-R Very Low-, Low-, or Intermediate-Risk MDS in Erythropoiesis Stimulating Agent-Naive Patients Who Require RBC Transfusions. Blood 2020, 136, 1–2. [Google Scholar] [CrossRef]
  58. Passweg, J.R.; Giagounidis, A.A.; Simcock, M.; Aul, C.; Dobbelstein, C.; Stadler, M.; Ossenkoppele, G.; Hofmann, W.K.; Schilling, K.; Tichelli, A.; et al. Immunosuppressive therapy for patients with myelodysplastic syndrome: A prospective randomized multicenter phase III trial comparing antithymocyte globulin plus cyclosporine with best supportive care—SAKK 33/99. J. Clin. Oncol. 2011, 29, 303–309. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  59. Stahl, M.; DeVeaux, M.; de Witte, T.; Neukirchen, J.; Sekeres, M.A.; Brunner, A.M.; Roboz, G.J.; Steensma, D.P.; Bhatt, V.R.; Platzbecker, U.; et al. The use of immunosuppressive therapy in MDS: Clinical outcomes and their predictors in a large international patient cohort. Blood Adv. 2018, 2, 1765–1772. [Google Scholar] [CrossRef] [Green Version]
  60. Stahl, M.; Bewersdorf, J.P.; Giri, S.; Wang, R.; Zeidan, A.M. Use of immunosuppressive therapy for management of myelodysplastic syndromes: A systematic review and meta-analysis. Haematologica 2020, 105, 102–111. [Google Scholar] [CrossRef] [Green Version]
  61. Sloand, E.M.; Wu, C.O.; Greenberg, P.; Young, N.; Barrett, J. Factors affecting response and survival in patients with myelodysplasia treated with immunosuppressive therapy. J. Clin. Oncol. 2008, 26, 2505–2511. [Google Scholar] [CrossRef]
  62. Bewersdorf, J.P.; Zeidan, A.M. Evolving therapies for lower-risk myelodysplastic syndromes. Ann. Hematol. 2020. [Google Scholar] [CrossRef]
  63. Girmenia, C.; Candoni, A.; Delia, M.; Latagliata, R.; Molteni, A.; Oliva, E.N.; Palumbo, G.A.; Poloni, A.; Salutari, P.; Santini, V.; et al. Infection control in patients with myelodysplastic syndromes who are candidates for active treatment: Expert panel consensus-based recommendations. Blood Rev. 2019, 34, 16–25. [Google Scholar] [CrossRef]
  64. Kantarjian, H.; Fenaux, P.; Sekeres, M.A.; Becker, P.S.; Boruchov, A.; Bowen, D.; Hellstrom-Lindberg, E.; Larson, R.A.; Lyons, R.M.; Muus, P.; et al. Safety and efficacy of romiplostim in patients with lower-risk myelodysplastic syndrome and thrombocytopenia. J. Clin. Oncol. 2010, 28, 437–444. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  65. Sekeres, M.A.; Kantarjian, H.; Fenaux, P.; Becker, P.; Boruchov, A.; Guerci-Bresler, A.; Hu, K.; Franklin, J.; Wang, Y.M.; Berger, D. Subcutaneous or intravenous administration of romiplostim in thrombocytopenic patients with lower risk myelodysplastic syndromes. Cancer 2011, 117, 992–1000. [Google Scholar] [CrossRef] [PubMed]
  66. Oliva, E.N.; Alati, C.; Santini, V.; Poloni, A.; Molteni, A.; Niscola, P.; Salvi, F.; Sanpaolo, G.; Balleari, E.; Germing, U.; et al. Eltrombopag versus placebo for low-risk myelodysplastic syndromes with thrombocytopenia (EQoL-MDS): Phase 1 results of a single-blind, randomised, controlled, phase 2 superiority trial. Lancet Haematol 2017, 4, e127–e136. [Google Scholar] [CrossRef]
  67. Mittelman, M.; Platzbecker, U.; Afanasyev, B.; Grosicki, S.; Wong, R.S.M.; Anagnostopoulos, A.; Brenner, B.; Denzlinger, C.; Rossi, G.; Nagler, A.; et al. Eltrombopag for advanced myelodysplastic syndromes or acute myeloid leukaemia and severe thrombocytopenia (ASPIRE): A randomised, placebo-controlled, phase 2 trial. Lancet Haematol 2018, 5, e34–e43. [Google Scholar] [CrossRef]
  68. Dickinson, M.; Cherif, H.; Fenaux, P.; Mittelman, M.; Verma, A.; Portella, M.S.O.; Burgess, P.; Ramos, P.M.; Choi, J.; Platzbecker, U.; et al. Azacitidine with or without eltrombopag for first-line treatment of intermediate- or high-risk MDS with thrombocytopenia. Blood 2018, 132, 2629–2638. [Google Scholar] [CrossRef] [PubMed]
  69. Thepot, S.; Ben Abdelali, R.; Chevret, S.; Renneville, A.; Beyne-Rauzy, O.; Prebet, T.; Park, S.; Stamatoullas, A.; Guerci-Bresler, A.; Cheze, S.; et al. A randomized phase II trial of azacitidine +/- epoetin-beta in lower-risk myelodysplastic syndromes resistant to erythropoietic stimulating agents. Haematologica 2016, 101, 918–925. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  70. Jabbour, E.; Short, N.J.; Montalban-Bravo, G.; Huang, X.; Bueso-Ramos, C.; Qiao, W.; Yang, H.; Zhao, C.; Kadia, T.; Borthakur, G.; et al. Randomized phase 2 study of low-dose decitabine vs low-dose azacitidine in lower-risk MDS and MDS/MPN. Blood 2017, 130, 1514–1522. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  71. Wang, E.S.; Lyons, R.M.; Larson, R.A.; Gandhi, S.; Liu, D.; Matei, C.; Scott, B.; Hu, K.; Yang, A.S. A randomized, double-blind, placebo-controlled phase 2 study evaluating the efficacy and safety of romiplostim treatment of patients with low or intermediate-1 risk myelodysplastic syndrome receiving lenalidomide. J. Hematol. Oncol. 2012, 5, 71. [Google Scholar] [CrossRef] [Green Version]
  72. Fenaux, P.; Muus, P.; Kantarjian, H.; Lyons, R.M.; Larson, R.A.; Sekeres, M.A.; Becker, P.S.; Orejudos, A.; Franklin, J. Romiplostim monotherapy in thrombocytopenic patients with myelodysplastic syndromes: Long-term safety and efficacy. Br. J. Haematol. 2017, 178, 906–913. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  73. Kantarjian, H.M.; Fenaux, P.; Sekeres, M.A.; Szer, J.; Platzbecker, U.; Kuendgen, A.; Gaidano, G.; Wiktor-Jedrzejczak, W.; Carpenter, N.; Mehta, B.; et al. Long-term follow-up for up to 5 years on the risk of leukaemic progression in thrombocytopenic patients with lower-risk myelodysplastic syndromes treated with romiplostim or placebo in a randomised double-blind trial. Lancet Haematol 2018, 5, e117–e126. [Google Scholar] [CrossRef]
  74. de Witte, T.; Bowen, D.; Robin, M.; Malcovati, L.; Niederwieser, D.; Yakoub-Agha, I.; Mufti, G.J.; Fenaux, P.; Sanz, G.; Martino, R.; et al. Allogeneic hematopoietic stem cell transplantation for MDS and CMML: Recommendations from an international expert panel. Blood 2017, 129, 1753–1762. [Google Scholar] [CrossRef] [PubMed]
  75. Schetelig, J.; de Wreede, L.C.; van Gelder, M.; Koster, L.; Finke, J.; Niederwieser, D.; Beelen, D.; Mufti, G.J.; Platzbecker, U.; Ganser, A.; et al. Late treatment-related mortality versus competing causes of death after allogeneic transplantation for myelodysplastic syndromes and secondary acute myeloid leukemia. Leukemia 2019, 33, 686–695. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  76. Heidenreich, S.; Ziagkos, D.; de Wreede, L.C.; van Biezen, A.; Finke, J.; Platzbecker, U.; Niederwieser, D.; Einsele, H.; Bethge, W.; Schleuning, M.; et al. Allogeneic Stem Cell Transplantation for Patients Age >/= 70 Years with Myelodysplastic Syndrome: A Retrospective Study of the MDS Subcommittee of the Chronic Malignancies Working Party of the EBMT. Biol. Blood Marrow Transplant. 2017, 23, 44–52. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  77. Damaj, G.; Duhamel, A.; Robin, M.; Beguin, Y.; Michallet, M.; Mohty, M.; Vigouroux, S.; Bories, P.; Garnier, A.; Cheikh, J.E.; et al. Impact of Azacitidine before Allogeneic Stem-Cell Transplantation for Myelodysplastic Syndromes: A Study by the Société Française de Greffe de Moelle et de Thérapie-Cellulaire and the Groupe-Francophone des Myélodysplasies. J. Clin. Oncol. 2012, 30, 4533–4540. [Google Scholar] [CrossRef] [PubMed]
  78. Prébet, T.; Gore, S.D.; Esterni, B.; Gardin, C.; Itzykson, R.; Thepot, S.; Dreyfus, F.; Rauzy, O.B.; Recher, C.; Adès, L.; et al. Outcome of high-risk myelodysplastic syndrome after azacitidine treatment failure. J. Clin. Oncol. 2011, 29, 3322–3327. [Google Scholar] [CrossRef]
  79. Lindsley, R.C.; Saber, W.; Mar, B.G.; Redd, R.; Wang, T.; Haagenson, M.D.; Grauman, P.V.; Hu, Z.H.; Spellman, S.R.; Lee, S.J.; et al. Prognostic Mutations in Myelodysplastic Syndrome after Stem-Cell Transplantation. N. Engl. J. Med. 2017, 376, 536–547. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  80. Yoshizato, T.; Nannya, Y.; Atsuta, Y.; Shiozawa, Y.; Iijima-Yamashita, Y.; Yoshida, K.; Shiraishi, Y.; Suzuki, H.; Nagata, Y.; Sato, Y.; et al. Genetic abnormalities in myelodysplasia and secondary acute myeloid leukemia: Impact on outcome of stem cell transplantation. Blood 2017, 129, 2347–2358. [Google Scholar] [CrossRef]
  81. Fenaux, P.; Mufti, G.J.; Hellstrom-Lindberg, E.; Santini, V.; Finelli, C.; Giagounidis, A.; Schoch, R.; Gattermann, N.; Sanz, G.; List, A.; et al. Efficacy of azacitidine compared with that of conventional care regimens in the treatment of higher-risk myelodysplastic syndromes: A randomised, open-label, phase III study. Lancet Oncol. 2009, 10, 223–232. [Google Scholar] [CrossRef] [Green Version]
  82. Sekeres, M.A.; Othus, M.; List, A.F.; Odenike, O.; Stone, R.M.; Gore, S.D.; Litzow, M.R.; Buckstein, R.; Fang, M.; Roulston, D.; et al. Randomized Phase II Study of Azacitidine Alone or in Combination with Lenalidomide or with Vorinostat in Higher-Risk Myelodysplastic Syndromes and Chronic Myelomonocytic Leukemia: North American Intergroup Study SWOG S1117. J. Clin. Oncol. 2017, 35, 2745–2753. [Google Scholar] [CrossRef]
  83. Bernal, T.; Martinez-Camblor, P.; Sanchez-Garcia, J.; de Paz, R.; Luno, E.; Nomdedeu, B.; Ardanaz, M.T.; Pedro, C.; Amigo, M.L.; Xicoy, B.; et al. Effectiveness of azacitidine in unselected high-risk myelodysplastic syndromes: Results from the Spanish registry. Leukemia 2015, 29, 1875–1881. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  84. Zeidan, A.M.; Hu, X.; Zhu, W.; Stahl, M.; Wang, R.; Huntington, S.F.; Giri, S.; Bewersdorf, J.P.; Podoltsev, N.A.; Gore, S.D.; et al. Association of provider experience and clinical outcomes in patients with myelodysplastic syndromes receiving hypomethylating agents. Leuk. Lymphoma 2020, 61, 397–408. [Google Scholar] [CrossRef] [PubMed]
  85. Itzykson, R.; Kosmider, O.; Cluzeau, T.; Mansat-De Mas, V.; Dreyfus, F.; Beyne-Rauzy, O.; Quesnel, B.; Vey, N.; Gelsi-Boyer, V.; Raynaud, S.; et al. Impact of TET2 mutations on response rate to azacitidine in myelodysplastic syndromes and low blast count acute myeloid leukemias. Leukemia 2011, 25, 1147–1152. [Google Scholar] [CrossRef] [Green Version]
  86. Itzykson, R.; Thépot, S.; Quesnel, B.; Dreyfus, F.; Beyne-Rauzy, O.; Turlure, P.; Vey, N.; Recher, C.; Dartigeas, C.; Legros, L.; et al. Prognostic factors for response and overall survival in 282 patients with higher-risk myelodysplastic syndromes treated with azacitidine. Blood 2011, 117, 403–411. [Google Scholar] [CrossRef] [Green Version]
  87. Kantarjian, H.; Issa, J.P.; Rosenfeld, C.S.; Bennett, J.M.; Albitar, M.; DiPersio, J.; Klimek, V.; Slack, J.; de Castro, C.; Ravandi, F.; et al. Decitabine improves patient outcomes in myelodysplastic syndromes: Results of a phase III randomized study. Cancer 2006, 106, 1794–1803. [Google Scholar] [CrossRef] [PubMed]
  88. Lubbert, M.; Suciu, S.; Baila, L.; Ruter, B.H.; Platzbecker, U.; Giagounidis, A.; Selleslag, D.; Labar, B.; Germing, U.; Salih, H.R.; et al. Low-dose decitabine versus best supportive care in elderly patients with intermediate- or high-risk myelodysplastic syndrome (MDS) ineligible for intensive chemotherapy: Final results of the randomized phase III study of the European Organisation for Research and Treatment of Cancer Leukemia Group and the German MDS Study Group. J. Clin. Oncol. 2011, 29, 1987–1996. [Google Scholar] [CrossRef] [PubMed]
  89. Silverman, L.R.; Fenaux, P.; Mufti, G.J.; Santini, V.; Hellstrom-Lindberg, E.; Gattermann, N.; Sanz, G.; List, A.F.; Gore, S.D.; Seymour, J.F. Continued azacitidine therapy beyond time of first response improves quality of response in patients with higher-risk myelodysplastic syndromes. Cancer 2011, 117, 2697–2702. [Google Scholar] [CrossRef] [Green Version]
  90. Voso, M.T.; Breccia, M.; Lunghi, M.; Poloni, A.; Niscola, P.; Finelli, C.; Bari, A.; Musto, P.; Zambello, R.; Fianchi, L.; et al. Rapid loss of response after withdrawal of treatment with azacitidine: A case series in patients with higher-risk myelodysplastic syndromes or chronic myelomonocytic leukemia. Eur. J. Haematol. 2013, 90, 345–348. [Google Scholar] [CrossRef] [PubMed]
  91. Garcia-Manero, G.; Roboz, G.; Walsh, K.; Kantarjian, H.; Ritchie, E.; Kropf, P.; O’Connell, C.; Tibes, R.; Lunin, S.; Rosenblat, T.; et al. Guadecitabine (SGI-110) in patients with intermediate or high-risk myelodysplastic syndromes: Phase 2 results from a multicentre, open-label, randomised, phase 1/2 trial. Lancet Haematol. 2019, 6, e317–e327. [Google Scholar] [CrossRef]
  92. Buckland, M. Astex and Otsuka Announce Results of Phase 3 ASTRAL-2 and ASTRAL-3 Studies of Guadecitabine (SGI-110) in Patients with Previously Treated Acute Myeloid Leukemia (AML) and Myelodysplastic Syndromes or Chronic Myelomonocytic Leukemia (MDS/CMML). Available online: https://www.businesswire.com/news/home/20201014005914/en/Astex-and-Otsuka-Announce-Results-of-Phase-3-ASTRAL-2-and-ASTRAL-3-Studies-of-Guadecitabine-SGI-110-in-Patients-with-Previously-Treated-Acute-Myeloid-Leukemia-AML-and-Myelodysplastic-Syndromes-or-Chronic-Myelomonocytic-Leukemia-MDSCMML (accessed on 12 December 2020).
  93. Garcia-Manero, G.; Griffiths, E.A.; Steensma, D.P.; Roboz, G.J.; Wells, R.; McCloskey, J.; Odenike, O.; DeZern, A.E.; Yee, K.; Busque, L.; et al. Oral cedazuridine/decitabine for MDS and CMML: A phase 2 pharmacokinetic/pharmacodynamic randomized crossover study. Blood 2020, 136, 674–683. [Google Scholar] [CrossRef]
  94. Wei, A.H.; Döhner, H.; Pocock, C.; Montesinos, P.; Afanasyev, B.; Dombret, H.; Ravandi, F.; Sayar, H.; Jang, J.-H.; Porkka, K.; et al. Oral Azacitidine Maintenance Therapy for Acute Myeloid Leukemia in First Remission. N. Engl. J. Med. 2020, 383, 2526–2537. [Google Scholar] [CrossRef]
  95. Savona, M.R.; Kolibaba, K.; Conkling, P.; Kingsley, E.C.; Becerra, C.; Morris, J.C.; Rifkin, R.M.; Laille, E.; Kellerman, A.; Ukrainskyj, S.M.; et al. Extended dosing with CC-486 (oral azacitidine) in patients with myeloid malignancies. Am. J. Hematol. 2018. [Google Scholar] [CrossRef] [PubMed]
  96. Garcia-Manero, G.; Gore, S.D.; Kambhampati, S.; Scott, B.; Tefferi, A.; Cogle, C.R.; Edenfield, W.J.; Hetzer, J.; Kumar, K.; Laille, E.; et al. Efficacy and safety of extended dosing schedules of CC-486 (oral azacitidine) in patients with lower-risk myelodysplastic syndromes. Leukemia 2016, 30, 889–896. [Google Scholar] [CrossRef] [PubMed]
  97. Garcia-Manero, G.; Scott, B.L.; Cogle, C.R.; Boyd, T.E.; Kambhampati, S.; Hetzer, J.; Dong, Q.; Kumar, K.; Ukrainskyj, S.M.; Beach, C.L.; et al. CC-486 (oral azacitidine) in patients with myelodysplastic syndromes with pretreatment thrombocytopenia. Leuk. Res. 2018, 72, 79–85. [Google Scholar] [CrossRef]
  98. Prebet, T.; Sun, Z.; Figueroa, M.E.; Ketterling, R.; Melnick, A.; Greenberg, P.L.; Herman, J.; Juckett, M.; Smith, M.R.; Malick, L.; et al. Prolonged administration of azacitidine with or without entinostat for myelodysplastic syndrome and acute myeloid leukemia with myelodysplasia-related changes: Results of the US Leukemia Intergroup trial E1905. J. Clin. Oncol. 2014, 32, 1242–1248. [Google Scholar] [CrossRef] [Green Version]
  99. DiNardo, C.D.; Jonas, B.A.; Pullarkat, V.; Thirman, M.J.; Garcia, J.S.; Wei, A.H.; Konopleva, M.; Döhner, H.; Letai, A.; Fenaux, P.; et al. Azacitidine and Venetoclax in Previously Untreated Acute Myeloid Leukemia. N. Engl. J. Med. 2020, 383, 617–629. [Google Scholar] [CrossRef]
  100. Wei, A.H.; Montesinos, P.; Ivanov, V.; DiNardo, C.D.; Novak, J.; Laribi, K.; Kim, I.; Stevens, D.; Fiedler, W.; Pagoni, M.; et al. Venetoclax plus LDAC for patients with untreated AML ineligible for intensive chemotherapy: Phase 3 randomized placebo-controlled trial. Blood 2020. [Google Scholar] [CrossRef]
  101. Garcia, J.S.; Wei, A.H.; Borate, U.; Fong, C.Y.; Baer, M.R.; Nolte, F.; Jurcic, J.G.; Jacoby, M.A.; Hong, W.-J.; Platzbecker, U.; et al. Safety, Efficacy, and Patient-Reported Outcomes of Venetoclax in Combination with Azacitidine for the Treatment of Patients with Higher-Risk Myelodysplastic Syndrome: A Phase 1b Study. Blood 2020, 136, 55–57. [Google Scholar] [CrossRef]
  102. Zeidan, A.M.; Pollyea, D.A.; Garcia, J.S.; Brunner, A.; Roncolato, F.; Borate, U.; Odenike, O.; Bajel, A.R.; Watson, A.M.; Götze, K.; et al. A Phase 1b Study Evaluating the Safety and Efficacy of Venetoclax in Combination with Azacitidine for the Treatment of Relapsed/Refractory Myelodysplastic Syndrome. Blood 2019, 134. [Google Scholar] [CrossRef]
  103. Zeidan, A.M.; Cavenagh, J.; Voso, M.T.; Taussig, D.; Tormo, M.; Boss, I.; Copeland, W.B.; Gray, V.E.; Previtali, A.; O’Connor, T.; et al. Efficacy and Safety of Azacitidine (AZA) in Combination with the Anti-PD-L1 Durvalumab (durva) for the Front-Line Treatment of Older Patients (pts) with Acute Myeloid Leukemia (AML) Who Are Unfit for Intensive Chemotherapy (IC) and Pts with Higher-Risk Myelodysplastic Syndromes (HR-MDS): Results from a Large, International, Randomized Phase 2 Study. Blood 2019, 134, 829. [Google Scholar] [CrossRef]
  104. Sallman, D.A. Tolerability and efficacy of the first-in-class anti-CD47 antibody magrolimab combined with azacitidine in MDS and AML patients: Phase Ib results. J. Clin. Oncol. 2020, 38, 7507. [Google Scholar] [CrossRef]
  105. Brunner, A.M.; Esteve, J.; Porkka, K.; Knapper, S.; Vey, N.; Scholl, S.; Garcia-Manero, G.; Wermke, M.; Janssen, J.; Traer, E.; et al. Efficacy and Safety of Sabatolimab (MBG453) in Combination with Hypomethylating Agents (HMAs) in Patients with Acute Myeloid Leukemia (AML) and High-Risk Myelodysplastic Syndrome (HR-MDS): Updated Results from a Phase 1b Study. Blood 2020, 136, 1–2. [Google Scholar] [CrossRef]
  106. Zeidan, A.M.; Knaus, H.A.; Robinson, T.M.; Towlerton, A.M.H.; Warren, E.H.; Zeidner, J.F.; Blackford, A.L.; Duffield, A.S.; Rizzieri, D.; Frattini, M.G.; et al. A Multi-center Phase I Trial of Ipilimumab in Patients with Myelodysplastic Syndromes following Hypomethylating Agent Failure. Clin. Cancer Res. 2018, 24, 3519–3527. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  107. Sekeres, M.A.; Watts, J.M.; Radinoff, A.; Sangerman, M.A.; Cerrano, M.; Lopez, P.F.; Zeidner, J.F.; Diez-Campelo, M.; Graux, C.; Liesveld, J.L.; et al. Efficacy and Safety of Pevonedistat Plus Azacitidine vs Azacitidine Alone in Higher-Risk Myelodysplastic Syndromes (MDS) from Study P-2001. Blood 2020, 136. Available online: https://ash.confex.com/ash/2020/webprogram/Paper135840.html (accessed on 12 December 2020).
  108. Ball, B.; Komrokji, R.S.; Ades, L.; Sekeres, M.A.; DeZern, A.E.; Pleyer, L.; Vey, N.; Almeida, A.; Germing, U.; Cluzeau, T.; et al. Evaluation of induction chemotherapies after hypomethylating agent failure in myelodysplastic syndromes and acute myeloid leukemia. Blood Adv. 2018, 2, 2063–2071. [Google Scholar] [CrossRef]
  109. Welch, J.S.; Petti, A.A.; Miller, C.A.; Fronick, C.C.; O’Laughlin, M.; Fulton, R.S.; Wilson, R.K.; Baty, J.D.; Duncavage, E.J.; Tandon, B.; et al. TP53 and Decitabine in Acute Myeloid Leukemia and Myelodysplastic Syndromes. N. Engl. J. Med. 2016, 375, 2023–2036. [Google Scholar] [CrossRef]
  110. Kantarjian, H.; Beran, M.; Cortes, J.; O’Brien, S.; Giles, F.; Pierce, S.; Shan, J.; Plunkett, W.; Keating, M.; Estey, E. Long-term follow-up results of the combination of topotecan and cytarabine and other intensive chemotherapy regimens in myelodysplastic syndrome. Cancer 2006, 106, 1099–1109. [Google Scholar] [CrossRef]
  111. Lancet, J.E.; Uy, G.L.; Cortes, J.E.; Newell, L.F.; Lin, T.L.; Ritchie, E.K.; Stuart, R.K.; Strickland, S.A.; Hogge, D.; Solomon, S.R.; et al. CPX-351 (cytarabine and daunorubicin) Liposome for Injection Versus Conventional Cytarabine Plus Daunorubicin in Older Patients with Newly Diagnosed Secondary Acute Myeloid Leukemia. J. Clin. Oncol. 2018, 36, 2684–2692. [Google Scholar] [CrossRef]
  112. Silverman, L.R.; McKenzie, D.R.; Peterson, B.L.; Holland, J.F.; Backstrom, J.T.; Beach, C.L.; Larson, R.A. Further analysis of trials with azacitidine in patients with myelodysplastic syndrome: Studies 8421, 8921, and 9221 by the Cancer and Leukemia Group B. J. Clin. Oncol. 2006, 24, 3895–3903. [Google Scholar] [CrossRef] [Green Version]
  113. Santini, V.; Allione, B.; Zini, G.; Gioia, D.; Lunghi, M.; Poloni, A.; Cilloni, D.; Sanna, A.; Masiera, E.; Ceccarelli, M.; et al. A phase II, multicentre trial of decitabine in higher-risk chronic myelomonocytic leukemia. Leukemia 2018, 32, 413–418. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  114. Alfonso, A.; Montalban-Bravo, G.; Takahashi, K.; Jabbour, E.J.; Kadia, T.; Ravandi, F.; Cortes, J.; Estrov, Z.; Borthakur, G.; Pemmaraju, N.; et al. Natural history of chronic myelomonocytic leukemia treated with hypomethylating agents. Am. J. Hematol. 2017, 92, 599–606. [Google Scholar] [CrossRef] [PubMed]
  115. Pleyer, L.; Leisch, M.; Kourakli, A.; Padron, E.; Maciejewski, J.P.; Xicoy Cirici, B.; Kaivers, J.; Ungerstedt, J.; Heibl, S.; Patiou, P.; et al. Outcomes of patients with chronic myelomonocytic leukaemia treated with non-curative therapies: A retrospective cohort study. Lancet Haematol 2021, 8, e135–e148. [Google Scholar] [CrossRef]
  116. Zeidan, A.M.; Hu, X.; Long, J.B.; Wang, R.; Ma, X.; Podoltsev, N.A.; Huntington, S.F.; Gore, S.D.; Davidoff, A.J. Hypomethylating agent therapy use and survival in older patients with chronic myelomonocytic leukemia in the United States: A large population-based study. Cancer 2017, 123, 3754–3762. [Google Scholar] [CrossRef]
  117. Wijermans, P.W.; Rüter, B.; Baer, M.R.; Slack, J.L.; Saba, H.I.; Lübbert, M. Efficacy of decitabine in the treatment of patients with chronic myelomonocytic leukemia (CMML). Leuk. Res. 2008, 32, 587–591. [Google Scholar] [CrossRef]
  118. Braun, T.; Itzykson, R.; Renneville, A.; de Renzis, B.; Dreyfus, F.; Laribi, K.; Bouabdallah, K.; Vey, N.; Toma, A.; Recher, C.; et al. Molecular predictors of response to decitabine in advanced chronic myelomonocytic leukemia: A phase 2 trial. Blood 2011, 118, 3824–3831. [Google Scholar] [CrossRef] [Green Version]
  119. Duchmann, M.; Yalniz, F.F.; Sanna, A.; Sallman, D.; Coombs, C.C.; Renneville, A.; Kosmider, O.; Braun, T.; Platzbecker, U.; Willems, L.; et al. Prognostic Role of Gene Mutations in Chronic Myelomonocytic Leukemia Patients Treated with Hypomethylating Agents. EBioMedicine 2018, 31, 174–181. [Google Scholar] [CrossRef] [Green Version]
  120. Coston, T.; Pophali, P.; Vallapureddy, R.; Lasho, T.L.; Finke, C.M.; Ketterling, R.P.; Carr, R.; Binder, M.; Mangaonkar, A.A.; Gangat, N.; et al. Suboptimal response rates to hypomethylating agent therapy in chronic myelomonocytic leukemia; a single institutional study of 121 patients. Am. J. Hematol. 2019, 94, 767–779. [Google Scholar] [CrossRef]
  121. Liu, H.D.; Ahn, K.W.; Hu, Z.H.; Hamadani, M.; Nishihori, T.; Wirk, B.; Beitinjaneh, A.; Rizzieri, D.; Grunwald, M.R.; Sabloff, M.; et al. Allogeneic Hematopoietic Cell Transplantation for Adult Chronic Myelomonocytic Leukemia. Biol. Blood Marrow Transplant. 2017, 23, 767–775. [Google Scholar] [CrossRef] [Green Version]
  122. Gagelmann, N.; Bogdanov, R.; Stölzel, F.; Rautenberg, C.; Panagiota, V.; Becker, H.; Radujkovic, A.; Luft, T.; Christopeit, M.; Finke, J.; et al. Long-Term Survival Benefit after Allogeneic Hematopoietic Cell Transplantation for Chronic Myelomonocytic Leukemia. Transplant. Cell. Ther. 2021, 27, 95–e1. [Google Scholar] [CrossRef]
  123. Pophali, P.; Matin, A.; Mangaonkar, A.A.; Carr, R.; Binder, M.; Al-Kali, A.; Begna, K.H.; Reichard, K.K.; Alkhateeb, H.; Shah, M.V.; et al. Prognostic impact and timing considerations for allogeneic hematopoietic stem cell transplantation in chronic myelomonocytic leukemia. Blood Cancer J. 2020, 10, 121. [Google Scholar] [CrossRef]
  124. Platzbecker, U.; Fenaux, P.; Steensma, D.P.; Van Eygen, K.; Raza, A.; Germing, U.; Font, P.; Diez-Campelo, M.; Thepot, S.; Vellenga, E.; et al. Imerge: A Phase 3 Study to Evaluate Imetelstat in Transfusion-Dependent Subjects with IPSS Low or Intermediate-1 Risk Myelodysplastic Syndromes (MDS) That Is Relapsed/Refractory to Erythropoiesis-Stimulating Agent (ESA) Treatment. Blood 2020, 136, 17. [Google Scholar] [CrossRef]
  125. Chen, N.; Hao, C.; Liu, B.C.; Lin, H.; Wang, C.; Xing, C.; Liang, X.; Jiang, G.; Liu, Z.; Li, X.; et al. Roxadustat Treatment for Anemia in Patients Undergoing Long-Term Dialysis. N. Engl. J. Med. 2019, 381, 1011–1022. [Google Scholar] [CrossRef]
  126. Henry, D.H.; Glaspy, J.; Harrup, R.A.; Mittelman, M.; Zhou, A.; Carraway, H.E.; Bradley, C.; Saha, G.; Bartels, P.; Leong, R.; et al. Oral Roxadustat Demonstrates Efficacy in Anemia Secondary to Lower-Risk Myelodysplastic Syndrome Irrespective of Ring Sideroblasts and Baseline Erythropoietin Levels. Blood 2020, 136, 29–30. [Google Scholar] [CrossRef]
  127. Sallman, D.A.; DeZern, A.E.; Garcia-Manero, G.; Steensma, D.P.; Roboz, G.J.; Sekeres, M.A.; Cluzeau, T.; Sweet, K.L.; McLemore, A.; McGraw, K.L.; et al. Eprenetapopt (APR-246) and Azacitidine in TP53-Mutant Myelodysplastic Syndromes. J. Clin. Oncol. 2021, JCO2002341. [Google Scholar] [CrossRef]
  128. Cluzeau, T.; Sebert, M.; Rahmé, R.; Cuzzubbo, S.; Lehmann-Che, J.; Madelaine, I.; Peterlin, P.; Bève, B.; Attalah, H.; Chermat, F.; et al. Eprenetapopt Plus Azacitidine in TP53-Mutated Myelodysplastic Syndromes and Acute Myeloid Leukemia: A Phase II Study by the Groupe Francophone des Myélodysplasies (GFM). J. Clin. Oncol. 2021, 20, JCO2002342. [Google Scholar] [CrossRef] [PubMed]
  129. Zeidan, A.M.; Esteve, J.; Giagounidis, A.; Kim, H.-J.; Miyazaki, Y.; Platzbecker, U.; Schuh, A.C.; Sekeres, M.A.; Westermann, J.; Xiao, Z.; et al. The STIMULUS Program: Clinical Trials Evaluating Sabatolimab (MBG453) Combination Therapy in Patients (Pts) with Higher-Risk Myelodysplastic Syndromes (HR-MDS) or Acute Myeloid Leukemia (AML). Blood 2020, 136, 45–46. [Google Scholar] [CrossRef]
  130. DiNardo, C.D.; Watts, J.M.; Stein, E.M.; de Botton, S.; Fathi, A.T.; Prince, G.T.; Stein, A.S.; Foran, J.M.; Stone, R.M.; Patel, P.A.; et al. Ivosidenib (AG-120) Induced Durable Remissions and Transfusion Independence in Patients with IDH1-Mutant Relapsed or Refractory Myelodysplastic Syndrome: Results from a Phase 1 Dose Escalation and Expansion Study. Blood 2018, 132, 1812. [Google Scholar] [CrossRef]
  131. Patnaik, M.M.; Sallman, D.A.; Sekeres, M.A.; Luger, S.; Bejar, R.; Hobbs, G.S.; DeZern, A.E.; Bolognese, J.; Traynor, M.; Mishra, V.; et al. Preliminary Results from an Open-Label, Phase 2 Study of Tipifarnib in Chronic Myelomonocytic Leukemia (CMML). Blood 2017, 130, 2963. [Google Scholar] [CrossRef]
  132. Patnaik, M.M.; Ali, H.; Gupta, V.; Schiller, G.J.; Lee, S.; Yacoub, A.; Talpaz, M.; Sardone, M.; Wysowskyj, H.; Shemesh, S.; et al. Results from Ongoing Phase 1/2 Clinical Trial of Tagraxofusp (SL-401) in Patients with Relapsed/Refractory Chronic Myelomonocytic Leukemia (CMML). Blood 2018, 132, 1821. [Google Scholar] [CrossRef]
  133. Patnaik, M.M.; Sallman, D.A.; Mangaonkar, A.A.; Heuer, R.; Hirvela, J.; Zblewski, D.; Al-Kali, A.; Binder, M.; Balasis, M.E.; Newman, H.; et al. Phase 1 study of lenzilumab, a recombinant anti–human GM-CSF antibody, for chronic myelomonocytic leukemia. Blood 2020, 136, 909–913. [Google Scholar] [CrossRef] [PubMed]
  134. Cheson, B.D.; Greenberg, P.L.; Bennett, J.M.; Lowenberg, B.; Wijermans, P.W.; Nimer, S.D.; Pinto, A.; Beran, M.; de Witte, T.M.; Stone, R.M.; et al. Clinical application and proposal for modification of the International Working Group (IWG) response criteria in myelodysplasia. Blood 2006, 108, 419–425. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  135. Platzbecker, U.; Fenaux, P.; Adès, L.; Giagounidis, A.; Santini, V.; van de Loosdrecht, A.A.; Bowen, D.; de Witte, T.; Garcia-Manero, G.; Hellström-Lindberg, E.; et al. Proposals for revised IWG 2018 hematological response criteria in patients with MDS included in clinical trials. Blood 2019, 133, 1020–1030. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  136. Komrokji, R.S.; Al Ali, N.H.; Sallman, D.; Padron, E.; DeZern, A.E.; Barnard, J.; Roboz, G.J.; Garcia-Manero, G.; List, A.; Steensma, D.P.; et al. Validation of International Working Group response criteria in higher-risk myelodysplastic syndromes: A report on behalf of the MDS Clinical Research Consortium. Cancer Med. 2021, 10, 447–453. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Selected clinical-pathological risk stratification tools for Myelodysplastic syndrome (MDS) and chronic myelomonocytic leukemia (CMML) [4,5,24,25,29]. Underlines: indicate the subheading in each column.
Figure 1. Selected clinical-pathological risk stratification tools for Myelodysplastic syndrome (MDS) and chronic myelomonocytic leukemia (CMML) [4,5,24,25,29]. Underlines: indicate the subheading in each column.
Cancers 13 01610 g001aCancers 13 01610 g001bCancers 13 01610 g001c
Figure 2. Selected molecular risk stratification tools for MDS and CMML. Underlines: indicate the subheading in each column [18,19,26,30].
Figure 2. Selected molecular risk stratification tools for MDS and CMML. Underlines: indicate the subheading in each column [18,19,26,30].
Cancers 13 01610 g002aCancers 13 01610 g002b
Figure 3. Potential treatment algorithm for MDS. Treatment selection for MDS patients depends on individualized risk assessment using validated scoring systems such as IPSS-R. All patients with MDS should receive supportive care based on their symptoms with erythropoiesis-stimulating agents (ESA), blood product transfusion (red blood cells [RBC] and platelets), iron chelation therapy, and antimicrobial prophylaxis if neutropenic [1,33]. TPO mimetics for thrombocytopenic patients and G-CSF in patients with recurrent infections can be considered as supportive care for MDS patients as well. However, the use of the latter two should be carefully considered due to concern for accelerated AML transformation with growth factor use. For patients with lower-risk MDS, especially if they are refractory to ESA and RBC-transfusion-dependent lenalidomide, luspatercept, immunosuppressive therapy, hypomethylating agents (HMA), or enrollment in clinical trials are potential options based on patient and disease characteristics [2,31]. Allogeneic hematopoietic cell transplant (allo-HCT) remains the only potentially curative therapeutic modality for MDS and all patients with higher-risk MDS (and selected lower-risk patients) should be considered for this curative modality [2]. If patients are allo-HCT eligible, pre-transplant cytoreduction with HMA or intensive chemotherapy can be considered if bone marrow blast percentage is >10%. For non-transplant patients, HMAs remain the standard of care [2,31]. In patients with HMA-failure, clinical trials, as well as the best supportive care (BSC) only are 2nd line modalities [2]. Data are limited on targeted therapies with IDH1/2 or FLT3 inhibitors. In the absence of the clinical trials option, the off-label use of low-dose cytarabine (LDAC), glasdegib, venetoclax, or clofarabine could be considered as a last line of therapy.
Figure 3. Potential treatment algorithm for MDS. Treatment selection for MDS patients depends on individualized risk assessment using validated scoring systems such as IPSS-R. All patients with MDS should receive supportive care based on their symptoms with erythropoiesis-stimulating agents (ESA), blood product transfusion (red blood cells [RBC] and platelets), iron chelation therapy, and antimicrobial prophylaxis if neutropenic [1,33]. TPO mimetics for thrombocytopenic patients and G-CSF in patients with recurrent infections can be considered as supportive care for MDS patients as well. However, the use of the latter two should be carefully considered due to concern for accelerated AML transformation with growth factor use. For patients with lower-risk MDS, especially if they are refractory to ESA and RBC-transfusion-dependent lenalidomide, luspatercept, immunosuppressive therapy, hypomethylating agents (HMA), or enrollment in clinical trials are potential options based on patient and disease characteristics [2,31]. Allogeneic hematopoietic cell transplant (allo-HCT) remains the only potentially curative therapeutic modality for MDS and all patients with higher-risk MDS (and selected lower-risk patients) should be considered for this curative modality [2]. If patients are allo-HCT eligible, pre-transplant cytoreduction with HMA or intensive chemotherapy can be considered if bone marrow blast percentage is >10%. For non-transplant patients, HMAs remain the standard of care [2,31]. In patients with HMA-failure, clinical trials, as well as the best supportive care (BSC) only are 2nd line modalities [2]. Data are limited on targeted therapies with IDH1/2 or FLT3 inhibitors. In the absence of the clinical trials option, the off-label use of low-dose cytarabine (LDAC), glasdegib, venetoclax, or clofarabine could be considered as a last line of therapy.
Cancers 13 01610 g003
Figure 4. Potential treatment algorithm for CMML. Treatment of CMML should be individualized based on bone marrow and peripheral blast percentage. CMML-0 (<2% blasts in blood and <5% in bone marrow) is managed with observation. For CMML-1 (2–4% blasts in blood and 5–9% in bone marrow) and CMML-2 (5–19% blasts in blood and 10–19% in bone marrow), HMA are the only approved therapy. Especially for CMML-2, allo-HCT should be considered. The addition of ruxolitinib or clinical trial enrollment are additional options. All patients should receive supportive care similar to MDS patients based on their symptom burden with ESA, RBC transfusion, iron chelation, and growth factor support. Hydroxyurea remains a cornerstone of therapy in patients with prominent myeloproliferative disease features.
Figure 4. Potential treatment algorithm for CMML. Treatment of CMML should be individualized based on bone marrow and peripheral blast percentage. CMML-0 (<2% blasts in blood and <5% in bone marrow) is managed with observation. For CMML-1 (2–4% blasts in blood and 5–9% in bone marrow) and CMML-2 (5–19% blasts in blood and 10–19% in bone marrow), HMA are the only approved therapy. Especially for CMML-2, allo-HCT should be considered. The addition of ruxolitinib or clinical trial enrollment are additional options. All patients should receive supportive care similar to MDS patients based on their symptom burden with ESA, RBC transfusion, iron chelation, and growth factor support. Hydroxyurea remains a cornerstone of therapy in patients with prominent myeloproliferative disease features.
Cancers 13 01610 g004
Table 1. Selected active phase II/III trials of novel agents in MDS and CMML.
Table 1. Selected active phase II/III trials of novel agents in MDS and CMML.
DrugPhaseNCTPatient CharacteristicsIntervention
Hypomethylating Agents
DecitabineIIINCT02214407 (GFM-DAC-CMML)CMMLDEC + hydroxyurea vs. hydroxyurea alone
AzacitidineIINCT01522976HR-MDS or CMMLAZA +/− lenalidomide or vorinostat
I/IINCT00392353HR-MDS, CMML or AMLAZA + vorinostat
GuadecitabineI/IINCT02935361R/R MDS or CMMLGuadecitabine + atezolizumab
IIINCT02907359 (ASTRAL-3 trial)HMA-refractory MDS or CMMLGuadecitabine vs. treatment choice (low-dose cytarabine, BSC, 7 + 3)
CC-486IINCT02281084HMA-refractory MDSCC-486 + durvalumab vs. CC-486 alone
IIINCT01566695Transfusion-dependent LR-MDSCC-486 vs. placebo
IIINCT04173533 (AMADEUS trial)AML and MDS post-HSCT maintenance therapyCC-486 vs. placebo
ASTX030II/IIINCT04256317MDS, CMML, MDS/MPN, or AML who are candidates for AZA monotherapyPhase 2: randomized open-label crossover study oral ASTX030 vs. subcutaneous AZA
Phase 3: randomized open-label crossover study of final oral ASTX030 tablet vs. subcutaneous AZA
ASTX727IIINCT03306264HR-MDS, CMLL, or AMLASTX727 vs. IV DEC
I/IINCT04061421MDS/MPN overlap except JMMLASTX727 + INCB053914, itacitinib, or INCB059872
I/IINCT03502668RBC-TD LR-MDSLow-dose vs. standard-dose ASTX727
IINCT04655755Newly diagnosed HR-MDS or CMMLASTX727 + venetoclax
IINCT04093570Any prior enrollment in ASTX727 trialsASTX727
Molecularly Targeted Agents
APR-246 (p53-refolding agent)IIINCT03745716TP53-mutant MDSAPR-246 + AZA vs. AZA alone
IINCT03931291TP53-mutant MDS or AML following allo-HCTAPR-246
I/IINCT03072043TP53-mutant MDS, CMML or AML APR-246 + AZA
I/IINCT03588078TP53-mutant MDS, CMML or AMLAPR-246 + AZA
Quizartinib (FLT3 inhibitor)I/IINCT01892371R/R AML, MDS, CMMLQuizartinib + AZA
I/IINCT04493138Untreated or HMA-refractory MDS, MDS/MPN with FLT3 or CBL mutationsQuizartinib + AZA
IINCT04047641Untreated or R/R AML or HR-MDS with FLT3 mutationsCladribine + idarubicin + cytarabine + quizartinib
Gilteritinib (FLT3 inhibitor)IIINCT04027309 (HOVON 156 AML)Untreated AML or HR-MDS with FLT3 mutationsGilteritinib + induction chemotherapy vs. midostaurin + induction chemotherapy
Ivosidenib (IDH1 inhibitor)IINCT03503409IDH1 Mutated, HMA-refractory MDSIvosidenib
IINCT03471260IDH1 Mutated MDS, MPN, AMLIvosidenib + venetoclax +/− AZA
IIINCT03839771 (HOVON150AML)IDH1 Mutated newly diagnosed and R/R-AML and HR-MDS Ivosidenib or placebo in combination with induction and consolidation therapy
Enasidenib (IDH2 inhibitor)IINCT03744390IDH2 Mutated MDSEnasidenib
IINCT03383575IDH2 Mutated, HMA-naïve and HMA-refractory MDSEnasidenib + AZA or enasidenib alone in HMA-refractory patients
IIINCT03839771 (HOVON150AML)IDH2 Mutated newly diagnosed and R/R-AML and HR-MDS Ivosidenib or placebo in combination with induction and consolidation therapy
IINCT01915498IDH2 Mutated R/R-AML and HR-MDSEnasidenib
FT-2102 (IDH1 inhibitor)IINCT02719574IDH1 Mutated R/R-AML and HR-MDSFT-2102 alone or in combination with AZA or cytarabine
Immune Checkpoint Inhibitors/Cellular Immunotherapy/Monoclonal Antibodies
MBG453 (anti-TIM3)IINCT03946670HMA-naïve, HR-MDSMBG453 + HMA vs. placebo + HMA
IIINCT04266301 (STIMULUS-MDS2)HMA-naïve, HR-MDSMBG453 + AZA vs. placebo + AZA
Nivolumab (anti-PD1)I/IINCT02530463Untreated or HMA-refractory MDSNivolumab +/− ipilimumab +/− AZA
II/IIINCT03092674Untreated AML or HR-MDSAZA +/− nivolumab or midostaurin vs. DEC/cytarabine
Durvalumab (anti-PD-L1)IINCT02775903Untreated HR-MDS or AML ≥65 years old and not eligible for allo-HCTDurvalumab + AZA vs. AZA alone
Pembrolizumab (anti- PD1)IINCT03094637Untreated or HMA-refractory MDSPembrolizumab + AZA
Ipilimumab (anti-CTLA4)Ib/IINCT02890329R/R-AML and MDSIpilimumab + DEC
Magrolimab (anti-CD47)IIINCT04313881 (ENHANCE)Untreated HR-MDSMagrolimab + AZA vs. placebo + AZA
ALX148 (anti-CD47)I/IINCT04417517 (ASPEN-02)HR-MDSALX148 + AZA
TJ011133 (anti-CD47)IINCT04202003R/R-AML or MDSTJ011133
Cusatuzumab (anti-CD27/70)IINCT04264806HR-MDS and CMMLCusatuzumab + AZA vs. AZA alone
IINCT03030612Newly-diagnosed AML or HR-MDS ineligible for chemotherapyCusatuzumab + AZA
BLEX 404 (immune stimulant)IINCT02944955Intermediate-1, Intermediate-2 or High-Risk MDS and CMMLBLEX404 + AZA
Talacotuzumab (JNJ-56022473; anti-CD123) or Daratumumab (anti-CD38)IINCT03011034RBC-TD LR-MDSTalacotuzumab (JNJ-56022473) or Daratumumab
Daratumumab (anti-CD38)IINCT03067571R/R-AML or HR-MDSDaratumumab
ADCT-301 (anti-CD25 antibody drug conjugate)IINCT04639024R/R-AML, MDS, or MDS/MPNADCT-301
ASP7517 (tumor vaccine)IINCT04079296R/R-AML or MDSASP7517
Canakinumab (anti-IL-1β)IINCT04239157ESA or HMA-refractory LR-MDS or CMMLCanakinumab
SAR440234 (CD3-CD123 T-cell engaging bispecific monoclonal antibody)IINCT03594955R/R AML, ALL or HR-MDSSAR440234
Conventional Cytotoxic Chemotherapy
CPX-351 (liposomal cytarabine + daunorubicin)I/IINCT04109690HMA-refractory MDSCPX-351
IINCT03957876HMA-refractory MDSCPX-351
I/IINCT04273802Untreated or HMA-refractory MDSCPX-351
I/IINCT04128748Frontline and R/R AML and MDSCPX-351 + quizartinib
IINCT04668885R/R AML and MDSCPX-351
IINCT04493164Frontline and R/R AML and MDS with IDH1 mutationCPX-351 + ivosidenib
IINCT03672539R/R AML or HR-MDSCPX-351 + gemtuzumab ozogamicin
BST-236 (cytarabine prodrug)IINCT04749355R/R-AML or HMA-failure, HR-MDS; MDS/MPN overlap excludedBST-236
Small Molecule Inhibitors and Miscellaneous Agents
Pevonedistat (NEDD8 inhibitor)IINCT03238248HMA-refractory MDS or MDS/MPNPevonedistat + AZA
IIINCT03268954 (PANTHER)Newly-diagnosed HR-MDS, CMML or AML <30% blastsPevonedistat + AZA vs. AZA alone
IINCT03238248HMA-refractory MDS or MDS/MPNPevonedistat + AZA
Venetoclax (BCL2 inhibitor)IINCT04146038R/R-AML or MDSSalsalate + DEC/AZA + venetoclax
I/IINCT03661307Frontline and R/R, AML and MDSDEC + venetoclax + quizartinib
I/IINCT04140487R/R, FLT3-mutated AML and MDSVenetoclax + AZA + gilteritinib
IINCT04487106R/R, RAS pathway-mutated AML and MDSVenetoclax + AZA + trametinib
I/IINCT03218683R/R AML or MDSAZD5991 +/− venetoclax
IINCT03404193R/R AML and MDSVenetoclax + DEC
I/IINCT04550442HMA-refractory MDS and CMMLVenetoclax + AZA
I/IINCT04160052Frontline and R/R HR-MDSVenetoclax + AZA
IINCT02115295Frontline or R/R AML or HR-MDSCladribine + idarubicin + cytarabine + venetoclax
IIINCT04401748 (VERONA trial)Newly diagnosed HR-MDSVenetoclax + AZA vs. AZA + placebo
IIINCT04628026Newly diagnosed AML or HR-MDSVenetoclax + induction chemotherapy vs. placebo + induction chemotherapy
BGB-11417 (BCL2 inhibitor)IINCT04771130Newly-diagnosed AML, MDS, or MDS/MPN overlapBGB-11417 + AZA
Rigosertib (PLK1 inhibitor)IIINCT02562443 (INSPIRE trial)HMA-refractory HR-MDSRigosertib vs. treatment choice
IINCT01904682RBC-TD LR-MDSrigosertib
IINCT01926587HR-MDS, CMML, or AML <30% blastsRigosertib + AZA
Roxadustat (HIF1α inhibitor)IIINCT03263091Very Low, Low or Intermediate IPSS-R With <5% Blasts) MDS with low-transfusion burdenRoxadustat vs. placebo
Imetelstat (telomerase inhibitor)II/IIINCT02598661 (IMerge trial)LR-MDS, ESA-refractoryImetelstat vs. placebo
Recombinant TPOII/IIINCT04324060LR-MDS with thrombocytopeniaDanazol +/− recombinant human TPO
Eltrombopag (TPO mimetic)IINCT00961064LR-MDS with thrombocytopeniaEltrombopag
IINCT02912208LR-MDS with thrombocytopeniaEltrombopag vs. placebo
IINCT01286038HMA-refractory MDS, MDS/MPN overlap, AML <30% blasts with thrombocytopeniaEltrombopag
IINCT01772420LR-MDS with symptomatic anemiaEltrombopag + lenalidomide
Glasdegib (hedgehog pathway inhibitor)IINCT01842646MDS, CMML, or AML with <30% bone marrow blasts with HMA failureGlasdegib
IINCT02367456 (BRIGHT 1012)Untreated MDS, CMML, or AML ineligible for intensive chemotherapyGlasdegib + AZA
Luspatercept (TGFβ pathway inhibitor)IIINCT03682536RBC-TD, ESA-naïve LR-MDSLuspatercept vs. Epoetin alfa
IIINCT02631070 (MEDALIST)RBC-TD, ESA-resistant LR-MDS with ≥15% ring sideroblast or ≥5% SF3B1 mutationLuspatercept vs. placebo
I/IINCT04539236RBC-TD, ESA-resistant LR-MDSLuspatercept + lenalidomide
IIIbNCT04064060MDS, myelofibrosis, beta-thalassemia previously enrolled in luspatercept clinical trialsLuspatercept
KER-050 (TGFβ pathway inhibitor)IINCT04419649RBC-TD LR-MDSKER-050
SY-1425 (selective retinoic acid receptor α agonist)IINCT02807558R/R-AML or HR-MDS; frontline AML ineligible for intensive chemotherapySY-1425 (tamibarotene) + AZA + daratumumab
Alvocidib (CDK9 inhibitor)Ib/IINCT03593915Untreated HR-MDSAlvocidib + DEC or AZA
Selinexor (selective inhibitor of nuclear export)IINCT02228525HMA-refractory MDSSelinexor
ATG 016 (selective inhibitor of nuclear export)IINCT04691141HMA-refractory HR-MDSATG 016
I/IINCT02649790HMA-refractory, HR-MDSKPT-8602
Bemcentinib (AXL kinase inhibitor)IINCT03824080HMA-refractory MDS and AMLBemcentinib
ONO-7475 (AXL inhibitor)IINCT03176277R/R AML or MDSONO-7475 +/− venetoclax
LB-100 (protein phosphatase 2A inhibitor)IINCT03886662HMA-refractory LR-MDSLB-100
TEW-7197 (Vactosertib; ALK5 inhibitor)IINCT03074006LR-MDSTEW-7197
INCB000928 (ALK2 inhibitor)IINCT04582539ESA-refractory MDSINCB000928
TP-0184 (ALK2 or ACRV1 kinase inhibitor)IINCT04623996ESA-refractory LR-MDSTP-0184
Omacetaxine (protein translation inhibitor)IINCT03564873Newly diagnosed, HR-MDS or CMML-2Omacetaxine + AZA
CG200745 PPA (HDAC inhibitor)IINCT02737462HMA-refractory MDSCG200745 PPA
CPI-613 (PDH/α-KGDH inhibitor)IINCT03929211HMA-refractory HR-MDSCPI-613 + hydroxychloroquine
Ascorbic acidIINCT03397173Newly diagnosed AML, MDS, or MDS/MPN overlap with TET2 mutationsAscorbic acid + AZA
CFI-400945 (PLK4 inhibitor)IINCT04730258R/R or untreated AML, MDS, or CMMLCFI-40095 +/− AZA or DEC
ONC201 (dopamine D2 receptor antagonist)IINCT02392572R/R-AML or HR-MDSONC201 + LDAC
Olaparib (PARP inhibitor)IINCT03953898R/R-AML or HR-MDS with IDH mutationsOlaparib
Veliparib (PARP inhibitor)IINCT03289910Newly-diagnosed or R/R-AML, CMML or MPNCarboplatin + Topotecan +/− veliparib
Sirolimus (mTOR inhibitor)IINCT01869114R/R-AML or HR-MDSSirolimus + AZA
IGF-MTX (methotrexate conjugate)I/IINCT03175978R/R-AML or HR-MDS/CMMLIGF-methotrexate conjugate
OTS167 (MELK inhibitor)I/IINCT02795520R/R AML, MDS, ALL, CML, MPNOTS167
Ruxolitinib (JAK inhibitor)IINCT01787487MDS/MPN overlapRuxolitinib + AZA
Seclidemstat (LSD1 inhibitor)IINCT04734990HMA-refractory, HR-MDS or CMMLSeclidemstat + AZA
CB-839 (glutaminase inhibitor)IINCT03047993HR-MDSCB-839 + AZA
Tipifarnib (farnesyl transferase inhibitor)IINCT02807272CMML, MDS/MPN overlap or AMLTipifarnib
EP0042IINCT04581512R/R-AML, MDS, or CMMLEP0042
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Bewersdorf, J.P.; Zeidan, A.M. Risk-Adapted, Individualized Treatment Strategies of Myelodysplastic Syndromes (MDS) and Chronic Myelomonocytic Leukemia (CMML). Cancers 2021, 13, 1610. https://doi.org/10.3390/cancers13071610

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Bewersdorf JP, Zeidan AM. Risk-Adapted, Individualized Treatment Strategies of Myelodysplastic Syndromes (MDS) and Chronic Myelomonocytic Leukemia (CMML). Cancers. 2021; 13(7):1610. https://doi.org/10.3390/cancers13071610

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Bewersdorf, Jan Philipp, and Amer M. Zeidan. 2021. "Risk-Adapted, Individualized Treatment Strategies of Myelodysplastic Syndromes (MDS) and Chronic Myelomonocytic Leukemia (CMML)" Cancers 13, no. 7: 1610. https://doi.org/10.3390/cancers13071610

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