Proposed score for survival of patients with myelodysplastic syndromes

Serum ferritin and ECOG performance status predict the response and improve the prognostic value of IPSS or IPSS-R in patients with high-risk myelodysplastic syndromes and oligoblastic acute myeloid leukemia treated with 5-azacytidine: a retrospective analysis of the Hellenic national registry of myelodysplastic and hypoplastic syndromes

Background:

5-azacytidine (5-AZA) improves survival of patients with higher-risk myelodysplastic syndromes (MDSs) and oligoblastic acute myeloid leukemia (AML); however, predictive factors for response and outcome have not been consistently studied.

Methods:

This study of the Hellenic MDS Study Group included 687 consecutive patients with higher-risk MDS and oligoblastic AML treated with 5-AZA.

Results:

The International Prognostic Scoring System (IPSS) revised version (IPSS-R), Eastern Cooperative Oncology Group Performance Status (ECOG PS) (0 or 1 versus ⩾2) and baseline serum ferritin (SF) levels > 520 ng/ml were shown to independently predict response to 5-AZA. In the survival analysis, the IPSS and IPSS-R risk classification systems along with the ECOG PS and SF levels > 520 ng/ml proved to be independent prognosticators for overall survival (OS), as well as for leukemia-free survival (LFS). Next, we built new multivariate models for OS and LFS, incorporating only ECOG PS and SF levels besides IPSS or IPSS-R risk classification systems. Thereby, the new modified IPSS and IPSS-R risk classification systems (H-PSS, H-PSS-R) could each discriminate a low, an intermediate and a high-risk patient group regarding OS and LFS. The H-PSS and H-PSS-R proved to be better predictors of OS than their previous counterparts as well as the French prognostic score, while the most powerful OS predictor was the new, H-PSS-R system.

Conclusions:

ECOG PS and SF levels > 520 ng/ml independently predict response to 5-AZA, OS and LFS. Their incorporation in the IPSS and IPSS-R scores enhances these scores’ predictive power in 5-AZA-treated higher-risk MDS and oligoblastic AML patients.

Multidisciplinary evaluation at baseline and during treatment improves the rate of compliance and efficacy of deferasirox in elderly myelodysplastic patients

BACKGROUND

Deferasirox (DFX) is used to reduce iron levels in patients with myelodysplastic syndrome (MDS) who develop iron overload after chronic red blood cell infusions. However, DFX can be associated with renal and gastrointestinal toxicities, which may cause treatment interruption or discontinuation. This study aimed to determine the effectiveness and safety of DFX in patients with MDS.

METHODS

This multicenter, retrospective, observational study was conducted at two hospitals in Italy. Elderly patients with transfusion-dependent MDS received DFX for up to 12 months and were divided into two groups: group A comprised patients who were not under multidisciplinary assessment; group B comprised patients under multidisciplinary control. Treatment effectiveness was estimated by monitoring the serum ferritin (SF) levels throughout the study. Any treatment-related adverse events (AEs), clinically relevant analytical alterations, and reasons for treatment discontinuation were monitored.

RESULTS

The study included 44 patients (13 female, 31 male; median age 77.0 years). At 3 months, SF levels decreased by ≥20 % in 29 and 31 % of patients in groups A and B, respectively, in 17 and 36 % of patients at 6 months, and in 22 and 58 % at 12 months. The most common AEs were diarrhea and increased serum creatinine, which were more frequent in group A. The discontinuation rate after renal AE was 15 and 5 % in groups A and B, respectively.

CONCLUSION

Multidisciplinary evaluation can be an effective strategy for monitoring renal function in patients on DFX therapy, to improve treatment adherence and overall efficacy in elderly patients with MDS.

Myelodysplastic Syndromes in the Elderly: Treatment Options and Personalized Management

Myelodysplastic syndromes (MDS) are typical diseases of the elderly, with a median age of 68-75 years at initial diagnosis. Demographic changes producing an increased proportion of elderly in our societies mean the incidence of MDS will rise dramatically. Considering the increasing number of treatment options, ranging from best supportive care to hematopoietic stem cell transplantation (HSCT), decision making is rather complex in this cohort of patients. Moreover, aspects of the aging process also have to be considered in therapy planning. Treatment of elderly MDS patients is dependent on the patient's individual risk and prognosis. Comorbidities play an essential role as predictors of survival and therapy tolerance. Age-adjusted models and the use of geriatric assessment scores are described as a basis for individualized treatment algorithms. Specific treatment recommendations for the different groups of patients are given. Currently available therapeutic agents, including supportive care, erythropoiesis-stimulating agents (ESAs), immune-modulating agents, hypomethylating agents, and HSCT are described in detail and discussed with a special focus on elderly MDS patients. The inclusion of elderly patients in clinical trials is of utmost importance to obtain data on efficacy and safety in this particular group of patients. Endpoints relevant for the elderly should be integrated, including maintenance of quality of life and functional activities as well as evaluation of use of healthcare resources.

Clinical and genetic predictors of prognosis in myelodysplastic syndromes

Myelodysplastic syndromes are a collection of clonal hematopoietic disorders with a wide range of clinical manifestations and eventual outcomes. Accurate prediction of a patient's prognosis is useful to define the risk posed by the disease and which treatment options are most appropriate. Several models have been created to help predict the prognosis for patients with myelodysplastic syndromes. The International Prognostic Scoring System (IPSS) has been the standard tool used to risk stratify MDS patients since its publication in 1997. Other models have since been created to improve upon the IPSS, including the recent Revised International Prognostic Scoring System. Most models include the presence or severity of peripheral blood cytopenias, the proportion of bone marrow blasts, and specific karyotype abnormalities. Other factors including age, performance status, co-morbidities, transfusion dependence, and molecular biomarkers can further refine the prediction of prognosis in some models. Novel, disease specific biomarkers with prognostic value in myelodysplastic syndromes including cell surface markers, gene expression profiles, and high resolution copy number analyses have been proposed but not yet adopted clinically. Somatic abnormalities in recurrently mutated genes are the most informative prognostic biomarkers not currently considered by clinical risk models. Mutations in specific genes have independent prognostic significance and, unlike cytogenetic abnormalities, are present in the majority of myelodysplastic syndrome cases. However, mutational information can be complex and there are challenges to its clinical implementation. Despite these limitations, DNA sequencing can refine the prediction of prognosis for myelodysplastic syndrome patients and has become increasingly available in the clinic where it will help improve the care of patients with myelodysplastic syndromes.

10th anniversary of the Austrian MDS Platform: aims and ongoing projects

The Austrian myelodysplastic syndromes (MDS) Platform was founded as a national working group in 2003 to initiate and coordinate common projects in the field. The incidence of MDS in Austria is approximately 400-500 new MDS cases per year. The overall low number of MDS patients underlines the importance of a national initiative to concentrate knowledge at certain specialized centres, where treatment of these patients mainly takes place. Clinical trials as well as basic research are facilitated by the cooperation of university and non-university hospitals. Other objectives are the generation of therapeutic standards, organization of meetings to spread this information to physicians and patients as well as promoting patient-support groups. Cooperation with international working groups is another important aim of the Platform. The 10th anniversary of the Austrian MDS Platform was organized as a meeting for all interested physicians throughout Austria providing an update on the disease and ongoing projects.

MDS prognostic scoring systems – past, present, and future

The myelodysplastic syndromes (MDS) are a heterogeneous group of clonal myeloid haemopathies characterized by defective differentiation of haematopoietic cells and expansion of the abnormal clone. This leads to bone marrow failure with the resulting peripheral blood cytopenias and evolution to or toward acute myeloid leukaemia that characterize MDS clinically. The clinical heterogeneity of MDS has led several groups to analyze patient and clinical characteristics to develop prognostic scoring systems yielding estimates of overall and leukaemia-free survival to guide clinical decision-making. These models have evolved over time as our understanding of the pathogenesis, natural history, and treatment of MDS has improved. Rapid advances in flow cytometric analysis, adjuncts to standard metaphase cytogenetics, and gene mutation analysis are revolutionizing our understanding of MDS pathogenesis and prognosis. Despite the existence of multiple well-validated prognostic scoring systems, further refinements of current models with these new sources of prognostic data are needed and are described herein.