Skip to main content
Deutsches Ärzteblatt International logoLink to Deutsches Ärzteblatt International
. 2023 Mar 24;120(12):203–210. doi: 10.3238/arztebl.m2023.0005

Myelodysplastic Syndromes

New Methods of Diagnosis, Prognostication, and Treatment

Kathrin Nachtkamp 1,*, Guido Kobbe 1, Norbert Gattermann 1, Ulrich Germing 1
PMCID: PMC10264648  PMID: 36718105

Abstract

Background

Myelodysplastic syndromes (MDS) are malignant diseases arising from hematopoietic stem cells. Their overall incidence is 4 cases per 100 000 persons per year, and they are usually diagnosed when evaluating cytopenia. The median survival time is three years. Myelodysplastic syndromes take a variable course; one-quarter of patients go on to develop acute leukemia.

Methods

This review is based on publications retrieved by a selective search of the literature from 2013 to 2022, including relevant guidelines, in the PubMed database. The time period was chosen to reflect developments since the publication of the latest EHA guidelines in 2013.

Results

The gold standard of diagnosis is cytomorphology of the blood and bone marrow, supplemented by banding cytogenetics, histomorphology, and somatic mutation analyses. The new classification proposed by the WHO incorporates the molecular and cytogenetic findings. The Molecular International Prognostic Scoring System (IPSS-M), which takes somatic mutations into account, is now available as an aid to prognostication. Quality of life evaluation with standardized instruments is helpful in many ways. Low-risk patients are treated supportively with erythrocyte transfusions and iron chelation therapy. Erythropoietin-a can be given to patients whose erythropoietin level is less than 200ng/mL, lenalidomide to those with a 5q deletion, and luspatercept to those with an SF3B1 mutation. High-risk patients should be evaluated as early as possible for allogeneic hematopoietic stem cell transplantation with curative intent. 5-azacytidine improves outcomes in patients for whom stem cell transplantation is not suitable.

Conclusion

Once a precise diagnosis has been established, new prognostic instruments such as the IPSS-M enable risk-adapted treatment based on the biological aspects of the patient’s disease as well as his or her age and comorbidities.


cme plus

This article has been certified by the North Rhine Academy for Continuing Medical Education. Participation in the CME certification program is possible only over the internet: cme.aerzteblatt.de. The deadline for submission is 23 March 2024.

Participation is possible at cme.aerztebatt.de

With an incidence of approximately 4 cases per 100 000 persons per year, myelodysplastic syndromes (MDS) are among the most common malignant diseases arising from stem cells. The incidence increases significantly with age. MDS are caused by genetic mutations that occur randomly and accumulate with age or are related to radiation or chemotherapy. The median age at onset is 70 to 75 years.

In the majority of cases, the etiology of the disease is unknown. However, it has been shown that patients diagnosed with clonal hematopoiesis of indeterminate potential (CHIP) based on somatic mutations, typically of the DNMT3A, TET2 and ASXL1 genes, are at a higher risk of developing MDS of about 0.5 to 1% per year. Prevalence increases with age and is estimated to be 10% at age 80 years and older. It is also known that germline mutations are more common in MDS than previously thought, in particular among younger adults (13). The disease is caused by genetic alterations of hematopoietic stem cells. Progressive loss of differentiation and maturation results in functional impairment of blood cells, especially of platelets and granulocytes (47). In many cases, this is associated with an increase in immature malignant precursor cells and an approximately 30% risk to develop acute myeloid leukemia (AML) within two years (8). Disease progression may also occur on the chromosomal level (9, 10). Besides cytomorphology, the diagnostic work-up should always include bone marrow histology, banding cytogenetics, and molecular testing for somatic mutations. Myelodysplastic syndromes take a variable course. While life expectancy is almost normal in some patients, there are also patients who develop acute leukemia within a few months and/or die from infections or hemorrhages. Thus, besides a precise diagnosis, the best possible estimation of the expected course of the disease is also relevant, as it is the basis for treatment planning. The Revised International Prognostic Scoring System (IPSS-R) or, if information about somatic mutations is available, its advanced version, the Molecular International Prognostic Scoring System (IPSS-M), is used for this purpose. Our review is based on publications retrieved by a selective search of the literature from 2013 to 2022 to reflect new developments since the last guidelines of the European Hematology Association (EHA), such as the updated WHO classification, the IPSS-molecular and new drug approvals. From the 8876 hits, original articles, pivotal clinical studies and consensus reviews were selected, also taking into account guidelines of the German Society of Hematology and Medical Oncology (DGHO) and NCCN guidelines. Clinical relevance for physicians practicing in Germany was the criterion for selection.

Diagnosis

Patients often present with symptoms of anemia or hemorrhage or incidental abnormal routine blood count results (box 1). An initial differential diagnostic evaluation to exclude iron, vitamin B12 and folate deficiencies, as well as hemolysis, among others, should be followed by special hematological tests. A normal routine blood count with differential makes bone marrow stem cell disease unlikely (1113). Bone marrow stem cell disease must be assumed especially in patients with bi- or pancytopenia. Besides deficiency anemias and hemolysis, key differential diagnoses include toxic bone marrow damage, immune-mediated cytopenia (immune thrombocytopenia/hemolysis), aplastic anemia, hereditary bone marrow diseases, paroxysmal nocturnal hemoglobinuria, but also acute myeloid leukemia and primary myelofibrosis. It is important to take past exposure to mutagenic agents, such as chemotherapy, radiotherapy and radioiodine therapy, into account, as these increase the risk of stem cell disease. Approximately 10% of patients have therapy-related MDS. It is important to take the occupational history into account, especially in elderly patients, because in the case of exposure to benzene, for example as a painter/finisher or petrol pump attendant, MDS may be regarded as an occupational disease. The first step should be a microscopic examination of the blood to evaluate single cell morphology, since signs of granulocytic dysplasia, such as hypogranulation or pseudo-Pelger–Huët cells, may be indicative of MDS. Bone marrow cytology and bone marrow histology are mandatory. Bone marrow cytology by definition shows at least 10% cells with impaired differentiation/maturation in one, but in most cases two or all three myeloid cell lines (14). Chromosomal analysis is required for diagnostic and prognostic reasons.

Box 1. Diagnosis of myelodysplastic syndromes/neoplasms (12, 15).

Peripheral blood (mandatory)

  • White blood cell count; possibly <4000/µL

  • Platelet count, possibly <100 000/µL

  • Hemoglobin, almost always <12 g/dL in females, <13.5 mg/dL in males

  • Reticulocyte count; usually—but not always—reduced

  • Manual differential blood count (neutrophil granulocyte count, signs of dysplasia, blast percentage)

  • LDH U/L (levels above normal are indicative of an unfavorable prognosis)

  • Ferritin µg/L, possibly elevated

  • Erythropoietin level, often increased

  • Blood typing, in case transfusions are required

  • Not mandatory: HLA typing and CMV status, if eligible for allogeneic stem cell transplantation

  • Not mandatory: WT1 expression (if >50 indicative of a poor prognosis)

Bone marrow (mandatory)

  • Cytology with staining for iron, POX and esterase staining (extent of dysplasia, blast percentage)

  • Histology of a trephine biopsy (cellularity, fibrosis)

  • Chromosomal analysis with analysis of 25 metaphases (chromosomal aberrations); complemented by FISH, in individual cases

  • Mutation analyses (important genes: TP53, MLL, ETV6, IDH2, CBL, SF3B1, JAK2, ASLX1, RUNX1, SRSF2, U2AF1, DNMT3A, ZRSE2, EZH2, NRAS, KRAS, PDGF-a/b)

  • Not mandatory: immunophenotyping

FISH, fluorescence in situ hybridization (FISH); human leukocyte antigen; LDH, lactate dehydrogenase; WT1, Wilms’ tumor 1

Table 1 shows the proposals of the current WHO classification. What is new is that two groups of MDS types are distinguished. One group is classified according to morphology—in this case primarily using the blast percentage which is relevant for prognostication, but MDS with bone marrow fibrosis is now also included in this group due to its prognostic significance (15, 16). The second group is classified on the basis of molecular cytogenetics. In this group, specific genetic alterations determine how the disease is classified. These changes include MDS with deletion (5q), with SF3B1 gene mutation and with bi-allelic TP53 alterations (1718). The same classification applies to therapy-related MDS (19). Another international group has proposed a similar classification that less clearly sets out the distinction of MDS from acute leukemias (20).

All defined subgroups carry prognostic significance (extent of blast excess, fibrosis, dysplasia signs, and genetic alterations). On the one hand, their relevance results from the extent of bone marrow insufficiency with increased risk of infections and bleeding, and on the other hand, from factors that increase the risk of AML development/progression of the disease (21). Consequently, there are significant differences in prognosis between these subgroups (1618) (Figure 1).

eFigure 1.

eFigure 1

Survival curves of the different risk groups according to the IPSS-R. Mean survival of all patients 34 months, mean survival of IPSS-R risk groups: blue: “very low”: 98 months, green: “low“: 61 months, red: “intermediate“: 31 months, orange: “high“: 23 months, brown: “very high risk”: 10 months, p<0.00005, (n= 2694, data from the Düsseldorf MDS Registry).

Thus, more than ever before, close cooperation between cytomorphology, genetics, and pathology is required in the diagnostic workup. The preparation of an integrated report on the findings with comments, taking into account all the methods used, is crucial to ensure the treating hematologist has comprehensive information available.

Prognostication

In advanced MDS in particular, the major causes of death—i.e., infection, hemorrhage, and development of acute myeloid leukemia—are directly related to the disease (21). Numerous biological (e1) and patient-related (22) prognostic parameters have been identified and prognosis scores have been developed (2325). Over the last decade, the Revised International Prognostic Scoring System (IPSS-R) has proven to be a robust prognostication tool (eTable 1, eFigure 1, eFigure 2) (26, e2). This score is based on the extent of cytopenia, bone marrow blasts and chromosomal findings; it defines five risk groups. What is new is the additional consideration of results of mutation analyses obtained in the Molecular International Prognostic Scoring System (IPSS-M) in addition to the IPSS-R. The IPSS-M is a regression model solely designed for web-based use; it divides the patients into six categories that are distinct from one another. When weighting somatic mutations, their prognostic significance is taken into account, as well as the number of mutated genes (etable 2). The more complete the information on mutations, the more accurate the prognostic predictive power of the model. Based on 2957 patients, this score was developed with substantial involvement of German MDS centers. As a general rule, most mutations—with the exception of the SF3B1 mutation—have an unfavorable impact on prognosis. This means that such patients must be assigned to a higher risk category and, consequently, may need the therapy indicated for this risk group. In light of the above, screening for somatic mutations is mandatory and the IPSS-M should be used whenever possible and deemed appropriate, taking into account the higher median age of the patient population and the assessed fitness for treatment.

Table 2. Most important side effects of treatment options for patients with myelodysplastic syndrome.

Substance/therapy Most important side effects
Erythropoietin – Hypertension
Iron chelation – Renal failure
– Gastrointestinal intolerance
Lenalidomide – Deterioration of blood count
– Thrombosis
– Polyneuropathy
Luspatercept – Fatigue
– Gastrointestinal intolerance
– Hypertension
TPO analogs – Thrombotic/thromboembolic events
– Headache
Anti-thymocyte globulin – Allergic reactions
– Immunosuppression
Hypomethylating substances – Blood count deterioration
– Infection
– Local reactions with s.c. administration
Venetoclax – Blood count deterioration
Allogeneic peripheral hematopoietic stem cell transplantation – Life-threatening infections/hemorrhage
– Graft-versus-host disease
– Toxicity of therapy

eFigure 2.

eFigure 2

Cumulative risks for AML transition of the various risk groups according to IPSS-R, blue: “very low”: green: “low“, red: “intermediate“, orange: “high“, brown: “very high“, p<0.00005 (n = 2694, data from the Düsseldorf MDS Registry). AML, acute myeloid leukemia; MDS, myelodysplastic syndromes

eTable 2. Important somatic mutations in myelodysplastic syndromes.

Function Gene Prognosis Approx. percentage
Splicing SF3B1 Good 15–30%
SRSF2 Poor 5–10%
USAF1 Poor 5–10%
ZRSR2 Indifferent 5%
Transcription factor RUNX1 Poor 5–10%
TP53 Poor 5–10%
BCOR Poor 5%
ETV6 Poor 3%
Methylation DNMT3A Poor 5–10%
TET2 Indifferent 15–25%
Histone modification IDH1/IDH2 Indifferent 5%
ASXL1 Poor 10–20%
EZH2 Poor 3–5%
MLL Poor 3%
Signaling NRAS/KRAS Poor 5–10%
CBL Poor 5%

Care and treatment

Initially, a watch-and-wait approach or supportive treatment are indicated for a large proportion of MDS patients who are not classified as high-risk MDS at the time of first diagnosis. Supportive interventions include replacement of blood products, prevention and treatment of infections and, where necessary, erythropoietin replacement therapy.

Especially for low-risk MDS, standardized instruments for quality of life assessment are valuable tools that also allow the treating physician to evaluate treatment success and burden, including supportive interventions. Moreover, quality-of-life-associated factors, such as fatigue, were found to have prognostic relevance. MDS-specific scoring systems (QOL-E, QUALMS) have been developed in addition to well-validated quality-of-life (QoL) instruments, such as the EQ-5D or EORTC-QLQ-C30, but still require further intensive validation (28).

Since over 80% of those affected receive regular supportive red blood cell transfusions over the course of their disease and the human body lacks the ability to excrete iron, transfusion-related iron overload is common and may result in heart failure, cardiac arrhythmias, and other organ damage (29). Therefore, if serum ferritin levels exceed 1000 ng/mL and the patient is transfusion-dependent, chelation therapy should be started to at least mitigate iron overload toxicity. The only available phase III study on iron chelation showed an improvement in prognosis with such therapy (e5, e6). In addition, blood counts improved in about 10–15% of patients and infections were found to be delayed (e7, e8).

Based on data from a double-blind multicenter randomized controlled phase III study, epoetin-α was approved for transfusion-dependent patients without excess blasts and endogenous erythropoietin levels <200 ng/mL. 85% and 68% of MDS patients with moderate transfusion requirements, classified as “very low risk” and “low risk”, respectively, according to IPSS-R, respond to this treatment after a few weeks and may remain transfusion-free for years with therapy (e9, e10).

Transfusion-dependent patients with isolated deletion (5q) and no excess blasts can be treated with lenalidomide, an immunomodulatory agent. The only prospective multicenter phase II study evaluating this indication, the LE-MON-5 trial, showed that approximately two-thirds of patients become transfusion-free within four months (30) and that lenalidomide does not promote progression to AML. During the median follow-up period of 20 months, 73% of these patients did not require transfusion. Determining clone size by fluorescence in situ hybridization (FISH) in peripheral blood significantly helped to establish molecularly guided therapy (31) and to allow long breaks in therapy once transfusion-free status was achieved. Prior to initiation of therapy, screening for TP53 mutation should be performed, as in these cases a more aggressive course of the disease may be observed.

Luspatercept, a TGF-ß ligand trap, has recently been approved for the treatment of transfusion-dependent patients without excess blasts but with a ring sideroblastic phenotype and/or detection of an SF3B1 mutation. It achieves transfusion-free status in 40% of patients. The agent was evaluated by the German MDS Study Group in a multicenter phase II study (32, e11). Thrombopoietin analogs may be used on a case-by-case basis for patients with thrombocytopenia to avoid transfusions of platelet concentrates and to reduce the risk of bleeding, in line with phase II data (e12e13). Similarly, immunosuppressive therapy with anti-thymocyte globulin (ATG) can be used to improve hematopoiesis in patients with hypoplastic MDS on a case-by-case basis (e14).

Numerous new substances are being evaluated in clinical trials (www.D-MDS.de) (e15). Allogeneic hematopoietic stem cell transplantation (allo-HSCT) is currently the only therapy with curative potential. If an HLA-identical sibling or unrelated donor can be identified, allogeneic stem cell transplantation is performed after prior conditioning chemotherapy, which is bone marrow toxic and destroys the patient‘s own diseased hematopoietic stem cells, with the goal of achieving a graft-versus-leukemia (/MDS) effect through the transplanted immune system. Apart from acute toxicity and the risks associated with the aplasia phase after chemotherapy (especially infections, bleeding), the risk of immune diseases, which constitute a distinct clinical entity as graft-versus-host disease (GvHD), and the risk of an MDS relapse are the main factors in the further course of the disease.

When establishing the indication for allogeneic hematopoietic stem cell transplantation (alloHSCT), it is important to include disease factors as well as patient and therapeutic factors in the decision-making process. Since alloHSCT is still associated with high toxicity and consequently significant treatment-related morbidity and mortality (2-year non-relapse mortality rate of 16%) (33), primarily patients with high-risk MDS should be evaluated for this type of treatment. In individual cases, patients classified as low risk according to IPSS-R/M may also benefit from alloHSCT, if they are exposed to a high risk due to severe thrombocytopenia or neutropenia (35). It is important to note that, while alloHSCT is the only hope of cure for patients with high-risk MDS, genetic factors and/or somatic mutations, such as RUNX and TP53, which are associated with an unfavorable prognosis, still have an impact on prognosis even after alloHSCT, because post-transplant relapses are significantly more likely among those patients—for example, 61% in the 5-year estimate (33, 34).

Rather than age, comorbidities such as organ failure or chronic infections, are critical factors driving treatment-related mortality in patients with alloHSCT. Older patients are typically treated with a conditioning regimen, i.e. chemo-/immunotherapeutic agents +/- total body irradiation (TBI) administered in preparation for transplantation. In this setting, a less intensive regimen is used to reduce treatment-related mortality (TRM). In retrospective studies, however, reduced-intensity conditioning was usually associated with an increased likelihood of relapse (e16). In the absence of myeloablative conditioning, especially high-risk patients relapse significantly more frequently. Consequently, conditioning therapy should be chosen to be as intensive as is deemed acceptable in the individual patient (33, 36).

The transplant process itself consists of an intensive early phase of about six weeks, during which patients are cared for in a specialized transplant unit, and a later outpatient monitoring phase of about two years, also with close support in a specialized center. During this late phase, impending complications, such as graft-versus-host disease and infections, should be detected and treated as early as possible, and the success of therapy should be continuously monitored for minimal residual disease by means of complex diagnostic tests (for example, molecular genetic analyses). The fact that MDS relapse after alloHSCT can be successfully treated in 29–71% of cases by early therapy with hypomethylating agents and donor lymphocytes highlights the relevance of minimal residual disease monitoring (37, 38).

Pre-transplant induction chemotherapy or 5-azacytidine therapy to reduce malignant cells has long been considered indispensable, but frequently achieves disease stabilization at most (e17, e18). Studies have shown that this strategy often selects resistant MDS clones that later cause resistant relapses (e19, e20). In addition, more than 30% of these patients develop complications or experience disease progression during pre-transplant therapy, rendering transplantation impossible. Therefore, it is justified in patients with stable MDS disease to adopt an observation-only approach during the donor search and then perform an early, primary alloHSCT (39). Retrospective studies showed that post-transplant relapses can be treated very successfully, especially in this setting (9).

If a patient is not eligible for allogeneic stem cell transplantation, the hypomethylating agent 5-azacytidine can be used. In a randomized controlled phase III study, a survival benefit of about ten months was observed with 5-azacytidine treatment (e21). About half of the patients respond to this treatment at least with an improvement in blood counts, and in some cases also with a reduction in blast percentage. A minimum treatment duration of 4–6 months is required. Patients with good response should continue 5-azacytidine treatment to stabilize its success. Unfortunately, as yet, no robust disease biology-related predictive parameters are known that would allow prediction of treatment success (e22). Various mechanisms of resistance can lead to a loss of efficacy over the course of treatment (e23). Adding the bcl-2 inhibitor venetoclax, already approved for acute myeloid leukemia (AML), appears to improve speed/duration of response, remission rate, and prognosis in patients with high-risk MDS (e24).

New agents and combination therapies are currently undergoing clinical trials in patients with high-risk MDS (CPX351, venetoclax, magrolimab, sabatolimab, etc.).

Treatment of high-risk patients with classical induction chemotherapy, as used in AML, can no longer be recommended because remission rates are low, remission duration is short, and long-term outcomes are extremely disappointing (e25). eFigure 3 shows the survival curves of high-risk patients (IPSS-R risk groups “intermediate”, “high“ and “very high“) by treatment. Patients receiving supportive therapy alone have a mean survival of only 18 months; therapy with 5-azacytidine improves prognosis by a median of six months, but only those who could undergo alloHSCT have a significantly better long-term prognosis.

Figure 2 and Figure 3 show updated treatment algorithms for patients with low risk and high risk, respectively; Table 2 highlights important side effects. It is useful to perform a detailed diagnostic work-up, including a molecular genetic analysis, to be able to offer the most appropriate therapy to each individual patient, considering new prognostic tools (IPSS-M) and in some cases new targeted treatment strategies. Over the course of the disease of an individual MDS patient, the indication for treatment may change or existing therapies may be switched. Moreover, approved treatment options are often exhausted over the course of the disease. These patients, in particular, can benefit from being seen in an MDS center, where new agents or combination therapies are being evaluated in clinical trials. We go to great lengths to design studies that address the clinical needs of as many patients as possible. Unfortunately, inappropriate inclusion and exclusion criteria mean that only a minority of patients are eligible for participation in a great number of clinical trials (40). The German MDS study group coordinates clinical trials for this purpose. In addition, there is close cooperation between the centers, numerous hospitals, medical care centers (MVZs) and hematology practices within the framework of the MDS registry funded by German Cancer Aid and the MDS Biobank in Düsseldorf which provides data and material for numerous scientific projects.

Table 1. Classification of myelodysplastic syndromes (MDS) as proposed by the WHO (15).

Blast percentage Banding cytogenetics Mutations
MDS with defining genetic abnormalities
MDS with low blasts and isolated deletion (5q) <5% bone marrow; <2% blood Deletion (5q) isolated, or with 1 other abnormality except monosomy 7 or deletion (7q) SF3B1 possible
MDS with low blasts and SF3B1 mutation*1 No deletion (5q), no monosomy 7, no complex aberrant karyotype SF3B1
MDS with biallelic TP53 inactivation Any Typically complex aberrant or more TP53 mutations, or 1 mutation plus evidence of copy number loss of TP53.
MDS defined by morphology*2
MDS with low blasts <5% bone marrow; <2% blood
MDS, hypoplastic*3
MDS with excess blasts
MDS with excess blasts-1 5–9% bone marrow and/or 2–4% blood
MDS with excess blasts-2 10–19% bone marrow and/or 5–19% blood
MDS with fibrosis 5–19% bone marrow; 5–19% blood

*1 Detection of ≥ 15% ring sideroblasts can substitute for detection of an SF3B1 mutation

*2 ≥ 10% signs of dysplasia in at least one cell line

*3 ≥ 25% bone marrow cellularity, age-adapted –

Figure 1.

Figure 1

Figure 1

Mean survival time according to WHO subtype in years; MDS, myelodysplastic syndrome

Box 2. Parameters used to apply the IPSSmoL and entered into the web-based calculator.

Data on bone marrow blasts, platelets, hemoglobin, chromosomal risk group, number of TP53 mutations, and loss of TP53 heterozygosity are mandatory; additional data make the estimation of the model more robust and valid. The IPSS-M is used to calculate the risk groups “very low”, “low”, “moderate low”, “moderate high”, “high”, and “very high”.

Clinical parameters

  • Bone marrow blasts in % (mandatory)

  • Platelets × 100 000/µL (mandatoty)

  • Hemoglobin g/dL (mandatory)

  • Neutrophils × 100 000/µL

  • Age

Chromosomal findings (according to the IPSS-R)

Mandatory:

Very good (-Y, del [11 q])

Good (normal, del [5q], del [12p], del [20q], double clone with del [5q] except chr 7)

Intermediate (del [7 q], + 8, + 19, i[17 q], other single or double independent clones.)

Poor (- 7, inv[3]/t[3q]/del [3 q], double clone with –7/del [7q], complex [3 aberrations])

Very poor (complex >3 aberrations)

Molecular cytogenetic findings

Mandatory:

  • Number of TP53 mutations (0 versus 1 versus 2 or more)

  • Loss of heterozygosity of TP53 (yes or no)

  • MLL-PTD (mutated versus not mutated versus unknown)

  • FLT3 (ITD or TKD) (mutated versus not mutated versus unknown)

Genes with individual weighting

Mandatory:

  • ASXL1 (mutated versus not mutated versus unknown)

  • CBL (mutated versus not mutated versus unknown)

  • DNMT3A (mutated versus not mutated versus unknown)

  • ETV6 (mutated versus not mutated versus unknown)

  • EZH2 (mutated versus not mutated versus unknown)

  • IDH2 (mutated versus not mutated versus unknown)

  • KRAS (mutated versus not mutated versus unknown)

  • NPM1 (mutated versus not mutated versus unknown)

  • NRAS (mutated versus not mutated versus unknown)

  • RUNX1 (mutated versus not mutated versus unknown)

  • SF3B1 (mutated versus not mutated versus unknown)

  • SRSF2 (mutated versus not mutated versus unknown)

  • U2AF1 (mutated versus not mutated versus unknown)

Facultative:

Number of mutations among the following genes (is calculated)

  • BCOR (mutated versus not mutated versus unknown)

  • BCORL1 (mutated versus not mutated versus unknown)

  • CEBPA (mutated versus not mutated versus unknown)

  • ETNK1 (mutated versus not mutated versus unknown)

  • GATA2 (mutated versus not mutated versus unknown)

  • GNB1 (mutated versus not mutated versus unknown)

  • IDH1 (mutated versus not mutated versus unknown)

  • NF1 (mutated versus not mutated versus unknown)

  • PHF6 (mutated versus not mutated versus unknown)

  • PPM1D (mutated versus not mutated versus unknown)

  • PRPF8 (mutated versus not mutated versus unknown)

  • PTPN11 (mutated versus not mutated versus unknown)

  • SETBP1 (mutated versus not mutated versus unknown)

  • STAG2 (mutated versus not mutated versus unknown)

  • WT1 (mutated versus not mutated versus unknown)

Figure 2.

Figure 2

Therapy algorithm for patients with myelodysplastic syndrome and very low, low, or intermediate risk: approved = gray (erythropoietin-alpha, Exjade, lenalidomide, luspatercept)

EPO, erythropoietin

Figure 3.

Figure 3

Therapy algorithm for patients with myelodysplastic syndrome and intermediate risk (int-2), high risk or very high risk: approved gray (5-azazytidine,9 allogeneic stem cell transplantation)

eTable 1. Definition of the Revised International Prognostic Scoring System (IPSS-R) (26).

0 0.5 1 1.5 2 3 4
Karyotype *1 *2 *3 *4 *5
Blasts (%) ≤ 2 > 2 ≤ 5 5–10 > 10
Hb concentration (g/dL) ≥ 10 8 10 < 8
Platelets (/nL) ≥ 100 50 ≤ 100 < 50
Neutrophils (/nL) ≥ 0.8 < 0.8
Risk score Points Median survival (years)
“very low risk” ≤ 1.5 9.00
“low risk” 2–3 5.63
“intermediate risk” 3.5–4.5 2.63
“high risk” 5–6 1.28
“very low risk” > 6 0.85

*1 Very good (-Y, del[11q])

*2 Good (normal, del[5q], del[12p], del[20q], double clone with del[5q] except chromosome 7)

*3 Intermediate (del[7q], +8, +19, i[17q], other single or double clones)

*4 Poor (-7, inv(3)/t(3q)/del(3q), double clone with –7/del(7q), complex with max. 3 aberrations)

*5 Very poor (complex with more than 3 aberrations)

eFigure 3.

eFigure 3

Survival curves of patients with “intermediate”, “high” and “very high risk” after IPSSR, according to therapy, mean survival time of all patients 20 months, mean survival time with “best supportive care” 18 months, with induction chemotherapy 18 months, with therapy with 5-azacytidine, 24 months and with allogeneic stem cell transplantation 96 months, p<0.0005 (n = 887, data from the Düsseldorf MDS Registry). BSC, best supportive care; MDS, myelodysplastic syndromes

Questions on the article in issue 12/2023:

Myelodysplastic Syndromes

New Methods of Diagnosis, Prognostication, and Treatment

The submission deadline is 23 March 2024. Only one answer is possible per question. Please select the answer that is most appropriate.

Question 1

In what age range is the median age of onset for myelodysplastic syndromes?

  1. 40–45 years

  2. 50–55 years

  3. 60–65 years

  4. 70–75 years

  5. 80–85 years

Question 2

Elevation of which of the following blood parameters (from peripheral blood) may indicate the presence of myelodysplastic syndrome/myelodysplastic neoplasia?

  1. White blood cell count

  2. Hemoglobin

  3. Ferritin

  4. Reticulocyte count

  5. Platelet count

Question 3

From what percentage of cells with signs of impaired differentiation or maturation in bone marrow cytology is the diagnosis of MDS assumed by definition?

  1. 5%

  2. 10%

  3. 20%

  4. 35%

  5. 70%

Question 4

For which genotype does the text describe the option of treatment with lenalidomide?

  1. Isolated deletion 5q

  2. Isolated SF3B1 mutation

  3. Isolated TP53 mutation

  4. Isolated NRAS mutation

  5. Isolated deletion KRAS

Question 5

Median survival is less than 2 years for which of the following WHO subtypes of MDS?

  1. MDS IB1

  2. Deletion 5q

  3. Hypoplastic MDS

  4. MDS with ring sideroblasts

  5. Biallelic TP53 mutation

Question 6

Of the following genes, which is an exception in that it is associated with a comparatively favorable prognosis according to the IPSS-M score?

  1. NRAS

  2. RUNX1

  3. USAF1

  4. SF3B1

  5. CBL

Question 7

In which situation does the text recommend starting chelation therapy?

  1. Whenever a transfusion therapy is started

  2. In patients with serum ferritin levels >1000 ng/mL

  3. In patients with erythropoietin replacement therapy

  4. In patients treated with luspatercept

  5. In patients with low red blood cell count

Question 8

In the article, the use of which drug is described to improve prognosis in patients with high-risk MDS who are not eligible for allogeneic stem cell therapy?

  1. Lenalidomide

  2. Sabatolimab

  3. Gefitinib

  4. 5-azacytidine

  5. Tamoxifen

Question 9

According to the text, what percentage of patients with MDS have therapy-related MDS?

  1. approx. 0.5%

  2. approx. 5%

  3. approx. 10%

  4. approx. 20%

  5. approx. 35%

Question 10

In the text, which substance is mentioned for the treatment of SF3B1 mutations?

  1. Lenalidomide

  2. Luspatercept

  3. Exjade

  4. Tamoxifen

  5. Cisplatin

Acknowledgments

Translated from the original German by Ralf Thoene, MD.

Footnotes

Conflict of interest statement

N.G. received financial support from Takeda. For his participation on Advisory Boards, he received honoraria from Novartis and BMS. He received lecture fees from BMS and Novartis. He received congress fees from Abbvie.

U.G. received lecture fees from Celgene, Novartis, BMS, Janssen, and Abbvie. He received consultancy fees from Celgene.

G.K. received honoraria from MSD, Pfizer, Amgen, Novartis, Gilead, BMS-Celgene, Abbvie, Biotest, Takeda, Eurocept, Jazz, Medac, and Eurocept. He received lecture fees from MSD, Pfizer, Amgen, Novartis, Gilead, BMS-Celgene, Abbvie, Biotest, Takeda, Eurocept, and Jazz.

K.N. received lecture fees from Jazz.

References

  • 1.Heuser M, Thol F, Ganser A. Clonal hematopoiesis of indeterminate potential. Dtsch Arztebl Int. 2016;113:317–322. doi: 10.3238/arztebl.2016.0317. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Sébert M, Passet M, Raimbault A, et al. Germline DDX41 mutations define a significant entity within adult MDS/AML patients. Blood. 2019;134:1441–1444. doi: 10.1182/blood.2019000909. [DOI] [PubMed] [Google Scholar]
  • 3.Feurstein S, Churpek JE, Walsh T, et al. Germline variants drive myelodysplastic syndrome in young adults. Leukemia. 2021;35:2439–2444. doi: 10.1038/s41375-021-01137-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Schneider RK, Schenone M, Ferreira MV, et al. Rps14 haploinsufficiency causes a block in erythroid differentiation mediated by S100A8 and S100A9. Nat Med. 2016;22:288–297. doi: 10.1038/nm.4047. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Fröbel J, Cadeddu RP, Hartwig S, et al. Platelet proteome analysis reveals integrin-dependent aggregation defects in patients with myelodysplastic syndromes. Mol Cell Proteomics. 2013;12:1272–1280. doi: 10.1074/mcp.M112.023168. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Brings C, Fröbel J, Cadeddu P, et al. Impaired formation of neutrophil extracellular traps in patients with MDS. Blood Adv. 2022;11 6:129–137. doi: 10.1182/bloodadvances.2021005721. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Schuster M, Moeller M, Bornemann L, et al. Surveillance of myelodysplastic syndrome via migration analyses of blood neutrophils: a potential prognostic tool. J Immunol. 2018;201:3546–3557. doi: 10.4049/jimmunol.1801071. [DOI] [PubMed] [Google Scholar]
  • 8.Nachtkamp K, Stark R, Strupp C, et al. Causes of death in 2877 patients with myelodysplastic syndromes. Ann Hematol. 2016;95:937–944. doi: 10.1007/s00277-016-2649-3. [DOI] [PubMed] [Google Scholar]
  • 9.Neukirchen J, Lauseker M, Hildebrandt B, et al. Cytogenetic clonal evolution in myelodysplastic syndromes is associated with inferior prognosis. Cancer. 2017;123:4608–4616. doi: 10.1002/cncr.30917. [DOI] [PubMed] [Google Scholar]
  • 10.Schanz J, Cevik N, Fonatsch C, et al. Detailed analysis of clonal evolution and cytogenetic evolution patterns in patients with myelodysplastic syndromes (MDS) and related myeloid disorders. Blood Cancer J. 2018;8 doi: 10.1038/s41408-018-0061-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Hofmann WK, Platzbecker U, Götze K, et al. Myelodysplastische Syndrome (MDS) Leitlinie der Deutschen Gesellschaft für Hämatologie und Onkologie, der Österreichischen Gesellschaft für Hämatologie und Internistische Onkologie und der Schweizer Gesellschaft für Hämatologie. www.onkopedia.com/de/onkopedia/guidelines/myelodysplastische-syndrome-mds/@@guideline/html/index.html (last accessed on 24 August 2022) [Google Scholar]
  • 12.Malcovati L, Hellström-Lindberg E, Bowen D, et al. Diagnosis and treatment of primary myelodysplastic syndromes in adults: recommendations from the European LeukemiaNet. Blood. 2013;122:2943–2964. doi: 10.1182/blood-2013-03-492884. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Valent P, Orazi A, Steensma DP, et al. Proposed minimal diagnostic criteria for myelodysplastic syndromes (MDS) and potential pre-MDS conditions. Oncotarget. 2017;8:73483–73500. doi: 10.18632/oncotarget.19008. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Khoury JD, Solary E, Abla O, et al. The 5th edition of the World Health Organization Classification of Haematolymphoid Tumours: Myeloid and Histiocytic/Dendritic Neoplasms. Leukemia. 2022;36:1703–1719. doi: 10.1038/s41375-022-01613-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Buesche G, Teoman H, Wilczak W, et al. Marrow fibrosis predicts early fatal marrow failure in patients with myelodysplastic syndromes. Leukemia. 2008;22:313–322. doi: 10.1038/sj.leu.2405030. [DOI] [PubMed] [Google Scholar]
  • 16.Schemenau J, Baldus S, Anlauf M, et al. Cellularity, characteristics of hematopoietic parameters and prognosis in myelodysplastic syndromes. Eur J Haematol. 2015;95:181–189. doi: 10.1111/ejh.12512. [DOI] [PubMed] [Google Scholar]
  • 17.Haase D, Stevenson KE, Neuberg D, et al. TP53 mutation status divides myelodysplastic syndromes with complex karyotypes into distinct prognostic subgroups. Leukemia. 2019;33:1747–1758. doi: 10.1038/s41375-018-0351-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Bernard E, Nannya Y, Hasserjian RP, et al. Implications of TP53 allelic state for genome stability, clinical presentation and outcomes in myelodysplastic syndromes. Nat Med. 2020;26:1549–1556. doi: 10.1038/s41591-020-1008-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Kuendgen A, Nomdedeu M, Tuechler H, et al. Therapy-related myelodysplastic syndromes deserve specific diagnostic sub-classification and risk-stratification-an approach to classification of patients with t-MDS. Leukemia. 2021;35:835–849. doi: 10.1038/s41375-020-0917-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Arber DA, Orazi A, Hasserjian RP, Borowitz MJ, et al. International consensus classification of myeloid neoplasms and acute leukemias: integrating mophologic, clinical, and genomic data. Blood. 2022;140:1200–1228. doi: 10.1182/blood.2022015850. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Nachtkamp K, Stark R, Strupp C, et al. Causes of death in 2877 patients with myelodysplastic syndromes. Ann Hematol. 2016;95:937–944. doi: 10.1007/s00277-016-2649-3. [DOI] [PubMed] [Google Scholar]
  • 22.Zipperer E, Tanha N, Strupp C, et al. The myelodysplastic syndrome-comorbidity index provides additional prognostic information on patients stratified according to the revised international prognostic scoring system. Haematologica. 2014;99:e31–e32. doi: 10.3324/haematol.2013.101055. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Kasprzak A, Nachtkamp K, Gattermann N, Germing U. Assessing the prognosis of patients with myelodysplastic syndromes (MDS) Cancers (Basel) 2022;14 doi: 10.3390/cancers14081941. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Rautenberg C, Germing U, Pechtel S, et al. Prognostic impact of peripheral blood WT1-mRNA expression in patients with MDS. Blood Cancer J. 2019;9 doi: 10.1038/s41408-019-0248-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.de Swart L, Crouch S, Hoeks M, et al. Impact of red blood cell transfusion dose density on progression-free survival in patients with lower-risk myelodysplastic syndromes. Haematologica. 2020;105:632–639. doi: 10.3324/haematol.2018.212217. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Neukirchen J, Lauseker M, Blum S, et al. Validation of the revised international prognostic scoring system (IPSS-R) in patients with myelodysplastic syndrome: a multicenter study. Leuk Res. 2014;38:57–64. doi: 10.1016/j.leukres.2013.10.013. [DOI] [PubMed] [Google Scholar]
  • 27.Bernard E, Tuechler H, Greenberg PL, et al. Molecular International Prognostic Scoring System for Myelodysplastic Syndromes. NEJM Evid. 2022 doi: 10.1056/EVIDoa2200008. [DOI] [PubMed] [Google Scholar]
  • 28.Oliva E, Platzbecker U, Fenaux P, et al. Targeting health-related quality of life in patients with myelodysplastic syndromes—current knowledge and lessons to be learned. Blood Reviews. 2021 doi: 10.1016/j.blre.2021.100851. 100851. [DOI] [PubMed] [Google Scholar]
  • 29.Gattermann N, Muckenthaler MU, Kulozik AE, Metzgeroth G, Hastka J. The evaluation of iron deficiency and iron overload. Dtsch Arztebl Int. 2021;118:847–856. doi: 10.3238/arztebl.m2021.0290. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.Schuler E, Giagounidis A, Haase D, et al. Results of a multicenter prospective phase II trial investigating the safety and efficacy of lenalidomide in patients with myelodysplastic syndromes with isolated del(5q) (LE-MON 5) Leukemia. 2016;30:1580–1582. doi: 10.1038/leu.2015.340. [DOI] [PubMed] [Google Scholar]
  • 31.Braulke F, Schulz X, Germing U, et al. Peripheral blood cytogenetics allows treatment monitoring and early identification of treatment failure to lenalidomide in MDS patients: results of the LE-MON-5 trial. Ann Hematol. 2017;96:887–894. doi: 10.1007/s00277-017-2983-0. [DOI] [PubMed] [Google Scholar]
  • 32.Platzbecker U, Götze KS, Kiewe P, et al. Long-term efficacy and safety of luspatercept for anemia treatment in patients with lower-risk Myelodysplastic Syndromes: the Phase II PACE-MDS Study. J Clin Oncol. 2022;40:3800–3807. doi: 10.1200/JCO.21.02476. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Kröger N, Iacobelli S, Franke GN, et al. Dose-reduced versus standard conditioning followed by allogeneic stem-cell transplantation for patients with Myelodysplastic Syndrome: a prospective randomized Phase III Study of the EBMT (RICMAC Trial) J Clin Oncol. 2017;35:2157–2164. doi: 10.1200/JCO.2016.70.7349. [DOI] [PubMed] [Google Scholar]
  • 34.Kobbe G, Schroeder T, Rautenberg C, et al. Molecular genetics in allogeneic blood stem cell transplantation for myelodysplastic syndromes. Expert Rev Hematol. 2019;12:821–831. doi: 10.1080/17474086.2019.1645004. [DOI] [PubMed] [Google Scholar]
  • 35.Kobbe G, Schroeder T, Haas R, et al. The current and future role of stem cells in myelodysplastic syndrome therapies. Expert Rev Hematol. 2018;11:411–422. doi: 10.1080/17474086.2018.1452611. [DOI] [PubMed] [Google Scholar]
  • 36.Dillon LW, Gui G, Logan BR, et al. Impact of conditioning intensity and genomics on relapse after allogeneic transplantation for patients with Myelodysplastic Syndrome. JCO Precis Oncol. 2021;5 doi: 10.1200/PO.20.00355. PO.20.00355. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Rautenberg C, Bergmann A, Germing U, et al. Prediction of response and survival following treatment with Azacitidine for relapse of acute Myeloid Leukemia and Myelodysplastic Syndromes after allogeneic hematopoietic stem cell transplantation. Cancers (Basel) 2020;12 doi: 10.3390/cancers12082255. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Schroeder T, Stelljes M, Christopeit M, et al. Treatment of MDS, AML and CMML relapse after allogeneic blood stem cell transplantation with Azacitidine, Lenalidomide and Donor Lymphocyte infusions—final results of the prospective azalena-trial ( NCT02472691) Blood. 2021;138(Suppl 1) [Google Scholar]
  • 39.Rautenberg C, Germing U, Stepanow S, et al. Influence of somatic mutations and pretransplant strategies in patients allografted for myelodysplastic syndrome or secondary acute myeloid leukemia. Am J Hematol. 2021;96:E15–E17. doi: 10.1002/ajh.26013. [DOI] [PubMed] [Google Scholar]
  • 40.Nachtkamp K, Stark J, Kündgen A, et al. Eligibility for clinical trials is unsatisfactory for patients with myelodysplastic syndromes, even at a tertiary referral center. Leuk Res. 2021;108 doi: 10.1016/j.leukres.2021.106611. [DOI] [PubMed] [Google Scholar]
  • E1.Schanz J, Solé F, Mallo M, et al. Clonal architecture in patients with myelodysplastic syndromes and double or minor complex abnormalities: detailed analysis of clonal composition, involved abnormalities, and prognostic significance. Genes Chromosomes Cancer. 2018;57:547–556. doi: 10.1002/gcc.22667. [DOI] [PubMed] [Google Scholar]
  • E2.Greenberg PL, Tuechler H, Schanz J, et al. Revised international prognostic scoring system for myelodysplastic syndromes. Blood. 2012;120:2454–2465. doi: 10.1182/blood-2012-03-420489. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • E3.Leitch HA, Buckstein R, Zhu N, et al. Iron overload in myelodysplastic syndromes: evidence based guidelines from the Canadian consortium on MDS. Leuk Res. 2018;74:21–41. doi: 10.1016/j.leukres.2018.09.005. [DOI] [PubMed] [Google Scholar]
  • E4.Hoeks M, Bagguley T, van Marrewijk C, et al. Toxic iron species in lower-risk myelodysplastic syndrome patients: course of disease and effects on outcome. Leukemia. 2021;35:1745–1850. doi: 10.1038/s41375-020-01022-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • E5.Angelucci E, Li J, Greenberg P, 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. doi: 10.7326/M19-0916. [DOI] [PubMed] [Google Scholar]
  • E6.Hoeks M, Yu G, Langemeijer S, et al. Impact of treatment with iron chelation therapy in patients with lower-risk myelodysplastic syndromes participating in the European MDS registry. Haematologica. 2020;105:640–651. doi: 10.3324/haematol.2018.212332. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • E7.Leitch HA, Gattermann N. Hematologic improvement with iron chelation therapy in myelodysplastic syndromes: clinical data, potential mechanisms, and outstanding questions. Crit Rev Oncol Hematol. 2019;141:54–72. doi: 10.1016/j.critrevonc.2019.06.002. [DOI] [PubMed] [Google Scholar]
  • E8.Wong CAC, Wong SAY, Leitch HA. Iron overload in lower international prognostic scoring system risk patients with myelodysplastic syndrome receiving red blood cell transfusions: relation to infections and possible benefit of iron chelation therapy. Leuk Res. 2018;67:75–81. doi: 10.1016/j.leukres.2018.02.005. [DOI] [PubMed] [Google Scholar]
  • E9.Fenaux P, Santini V, Spiriti MAA, 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. doi: 10.1038/s41375-018-0118-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • E10.Santini V, Schemenau J, Levis A, 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. doi: 10.1182/blood-2013-07-512442. [DOI] [PubMed] [Google Scholar]
  • E11.Fenaux P, Platzbecker U, Mufti GJ, et al. Luspatercept in patients with lower-risk Myelodysplastic Syndromes. N Engl J Med. 2020;382:140–151. doi: 10.1056/NEJMoa1908892. [DOI] [PubMed] [Google Scholar]
  • E12.Giagounidis A, Mufti GJ, Fenaux P, et al. Results of a randomized, double-blind study of romiplostim versus placebo in patients with low/intermediate-1-risk myelodysplastic syndrome and thrombocytopenia. Cancer. 2014;120:1838–1846. doi: 10.1002/cncr.28663. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • E13.Oliva EN, Alati C, Santini V, 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. doi: 10.1016/S2352-3026(17)30012-1. [DOI] [PubMed] [Google Scholar]
  • E14.Stahl M, DeVeaux M, de Witte T, 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. doi: 10.1182/bloodadvances.2018019414. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • E15.Steensma DP, Fenaux P, Van Eygen K, et al. Imetelstat achieves meaningful and durable transfusion independence in high transfusion-burden patients with lower-risk Myelodysplastic Syndromes in a Phase II Study. J Clin Oncol. 2021;39:48–56. doi: 10.1200/JCO.20.01895. [DOI] [PubMed] [Google Scholar]
  • E16.Martino R, Iacobelli S, Brand R, et al. Retrospective comparison of reduced-intensity conditioning and conventional high-dose conditioning for allogeneic hematopoietic stem cell transplantation using HLA-identical sibling donors in myelodysplastic syndromes. Blood. 2006;108:836–846. doi: 10.1182/blood-2005-11-4503. [DOI] [PubMed] [Google Scholar]
  • E17.Kröger N, Sockel K, Wolschke C, et al. Comparison between 5-Azacytidine treatment and allogeneic stem-cell transplantation in elderly patients with advanced MDS according to donor availability (VidazaAllo Study) J Clin Oncol. 2021;39:3318–3327. doi: 10.1200/JCO.20.02724. [DOI] [PubMed] [Google Scholar]
  • E18.Kröger N. Induction, bridging, or straight ahead: the ongoing dilemma of allografting in advanced myelodysplastic syndrome. Biol Blood Marrow Transplant. 2019;25:e247–e249. doi: 10.1016/j.bbmt.2019.06.016. [DOI] [PubMed] [Google Scholar]
  • E19.Jacoby MA, Duncavage EJ, Chang GS, et al. Subclones dominate at MDS progression following allogeneic hematopoietic cell transplant. JCI Insight. 2018;3 doi: 10.1172/jci.insight.98962. e98962. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • E20.Schroeder T, Wegener N, Lauseker M, et al. Comparison between upfront transplantation and different pretransplant cytoreductive treatment approaches in patients with high-risk Myelodysplastic Syndrome and Secondary Acute Myelogenous Leukemia. Biol Blood Marrow Transplant. 2019;25:1550–1559. doi: 10.1016/j.bbmt.2019.03.011. [DOI] [PubMed] [Google Scholar]
  • E21.Fenaux P, Mufti GJ, Hellstrom-Lindberg E, et al. International Vidaza High-Risk MDS Survival Study Group 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. doi: 10.1016/S1470-2045(09)70003-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • E22.Kuendgen A, Müller-Thomas C, Lauseker M, et al. Efficacy of azacitidine is independent of molecular and clinical characteristics—an analysis of 128 patients with myelodysplastic syndromes or acute myeloid leukemia and a review of the literature. Oncotarget. 2018;9:27882–27894. doi: 10.18632/oncotarget.25328. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • E23.Stomper J, Rotondo JC, Greve G, Lübbert M. Hypomethylating agents (HMA) for the treatment of acute myeloid leukemia and myelodysplastic syndromes: mechanisms of resistance and novel HMA-based therapies. Leukemia. 2021;35:1873–1889. doi: 10.1038/s41375-021-01218-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • E24.Hecker JS, Pachzelt L, Götze KS. Are myelodysplastic syndromes ready for venetoclax? Exploring future potential and considerations. Expert Rev Hematol. 2021;14:789–793. doi: 10.1080/17474086.2021.1968822. [DOI] [PubMed] [Google Scholar]
  • E25.Schuler E, Zadrozny N, Blum S, et al. Long-term outcome of high risk patients with myelodysplastic syndromes or secondary acute myeloid leukemia receiving intensive chemotherapy. Ann Hematol. 2018;97:2325–2332. doi: 10.1007/s00277-018-3466-7. [DOI] [PubMed] [Google Scholar]

Articles from Deutsches Ärzteblatt International are provided here courtesy of Deutscher Arzte-Verlag GmbH

RESOURCES