scholarly journals Validation of a Prognostic Model and the Impact of Mutations in Patients With Lower-Risk Myelodysplastic Syndromes

2012 ◽  
Vol 30 (27) ◽  
pp. 3376-3382 ◽  
Author(s):  
Rafael Bejar ◽  
Kristen E. Stevenson ◽  
Bennett A. Caughey ◽  
Omar Abdel-Wahab ◽  
David P. Steensma ◽  
...  
Keyword(s):  
Overall Survival ◽  
Myelodysplastic Syndromes ◽  
Scoring System ◽  
Lower Risk ◽  
Prognostic Model ◽  
Prognostic Significance ◽  
International Prognostic Scoring System ◽  
Disease Modifying Therapy ◽  
Md Anderson ◽  
The Impact

Purpose A subset of patients with myelodysplastic syndromes (MDS) who are predicted to have lower-risk disease as defined by the International Prognostic Scoring System (IPSS) demonstrate more aggressive disease and shorter overall survival than expected. The identification of patients with greater-than-predicted prognostic risk could influence the selection of therapy and improve the care of patients with lower-risk MDS. Patients and Methods We performed an independent validation of the MD Anderson Lower-Risk Prognostic Scoring System (LR-PSS) in a cohort of 288 patients with low- or intermediate-1 IPSS risk MDS and examined bone marrow samples from these patients for mutations in 22 genes, including SF3B1, SRSF2, U2AF1, and DNMT3A. Results The LR-PSS successfully stratified patients with lower-risk MDS into three risk categories with significant differences in overall survival (20% in category 1 with median of 5.19 years [95% CI, 3.01 to 10.34 years], 56% in category 2 with median of 2.65 years [95% CI, 2.18 to 3.30 years], and 25% in category 3 with median of 1.11 years [95% CI, 0.82 to 1.51 years]), thus validating this prognostic model. Mutations were identified in 71% of all samples, and mutations associated with a poor prognosis were enriched in the highest-risk LR-PSS category. Mutations of EZH2, RUNX1, TP53, and ASXL1 were associated with shorter overall survival independent of the LR-PSS. Only EZH2 mutations retained prognostic significance in a multivariable model that included LR-PSS and other mutations (hazard ratio, 2.90; 95% CI, 1.85 to 4.52). Conclusion Combining the LR-PSS and EZH2 mutation status identifies 29% of patients with lower-risk MDS with a worse-than-expected prognosis. These patients may benefit from earlier initiation of disease-modifying therapy.

Validating the Lower-Risk MD Anderson Prognostic Scoring System (LR-PSS) and the Revised International Prognostic Scoring System (IPSS-R) for Patients with Myelodysplastic Syndromes

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 1720-1720 ◽  
Author(s):  
Mikkael A. Sekeres ◽  
Paul Elson ◽  
Ramon V. Tiu ◽  
Yogen Saunthararajah ◽  
Anjali S. Advani ◽  
...  
Keyword(s):  
Myelodysplastic Syndromes ◽  
Scoring System ◽  
Lower Risk ◽  
Goodness Of Fit ◽  
Cleveland Clinic ◽  
Information Criteria ◽  
Rank Test ◽  
International Prognostic Scoring System ◽  
Multivariable Analyses ◽  
Md Anderson

Abstract Abstract 1720 Background: The myelodysplastic syndromes are commonly divided into lower- and higher-risk subtypes depending on blast percentage and International Prognostic Scoring System (IPSS) score (0–1.0, low or Int-1, median overall survival (OS) 3.5–5.7 years). Because the IPSS is limited in its ability to identify poor prognosis lower-risk patients (pts), a prognostic scoring system specifically for lower-risk MDS pts (LR-PSS) was developed (Garcia-Manero Leukemia 2008) at MD Anderson (MDA), based on unfavorable (non-del(5q), non–diploid) cytogenetics, hemoglobin (hgb) <10g/dl, platelet count (plt) <50 k/uL or 50–200k/uL, bone marrow blast %≥4, and age ≥60 years. The IPSS-R (Greenberg Leuk Res 2011) improves upon the IPSS using novel cytogenetics classifications (Schanz EHA 2010) and a neutrophil cut-off of 800 k/uL. We validated the LR-PSS and the IPSS-R in a separate cohort of lower-risk MDS patients seen at Cleveland Clinic (CC) or at MDA not included in LR-PSS development. Methods: Of 1293 MDS patients identified at CC or MDA from 1991–2010, 664 had lower-risk disease and adequate data for analyses. OS was calculated from first date seen at either institution. The Kaplan–Meier method was used to estimate median OS. Univariable analyses were performed using the log-rank test; multivariable analyses used a Cox proportional hazards model stratified by treatment center. Harrell's c index and the Akaike information criteria (AIC) were used to assess the discriminatory power of the models and relative goodness of fit, respectively. Results: Comparing CC to MDA, baseline values were similar except median age: 70 vs. 67 years (p=.02); time since diagnosis: 2.7 vs. 1.1 months (p<.0001); hgb <10: 51% vs. 43% (p=.05); plt <50k/uL: 30 vs. 24% (p=.06); ANC <1.5 k/uL: 27% vs. 36% (p=.01); blasts <4%: 75% vs. 65% (p=.003); WHO classification RA/RARS/RCMD/CMML: 11/15/26/12% vs. 16/9/45/0% (p<.0001). Cytogenetics were diploid: 61% vs. 66%; del(5q): 9% vs. 2%; del(20q): 3% vs. 5%; -Y: 4% vs. 2%, respectively (p=.5). Median OS was 36.8 months (95% C.I. 33–45) and median follow-up of patients still alive was 13.9 months (range 0.01–155). LR-PSS and IPSS-R classifications for CC and MDA Pts and OS are in Table 1 and Figure 1. In univariable analyses, The IPSS, LR-PSS, and IPSS-R were all predictive of OS (p=.002, <.0001, and <.0001, respectively). Multivariable analyses confirmed the overall predictive abilities of the prognostic tools and of Hgb, plt, age, and IPSS/IPSS-R cytogenetics (all p≤.03). Compared to the IPSS-R, the LR-PSS had the higher (better) Harrell's c value (.64 vs.63) and lower (better) AIC (2518 vs. 2525). The LR-PSS upstaged 156 pts (25%) from IPSS low or Int-1 to LR-PSS Category 3, and downstaged 47 pts (12%) from Int-1 to Category 1. The IPSS-R upstaged 164 pts (27%) from IPSS low or Int-1 to IPSS-R Categories ≥Intermediate, and downstaged 5 pts (1%) from Int-1 to Very Good. Conclusions: The LR-PSS and IPSS-R are valid tools for distinguishing among pts previously thought to have lower-risk disease by the IPSS, and identifying those who have better and worse survival. This latter group of pts may benefit from earlier interventions with disease-modifying therapies, and should be considered in trials targeting higher-risk MDS pts. The LR-PSS appears to provide slightly better prognostic information. Disclosures: Sekeres: Celgene: Consultancy, Honoraria, Speakers Bureau. Maciejewski:Celgene: Membership on an entity's Board of Directors or advisory committees.

scholarly journals Coalesced Multicentric Analysis of 2,351 Patients With Myelodysplastic Syndromes Indicates an Underestimation of Poor-Risk Cytogenetics of Myelodysplastic Syndromes in the International Prognostic Scoring System

2011 ◽  
Vol 29 (15) ◽  
pp. 1963-1970 ◽  
Author(s):  
Julie Schanz ◽  
Christian Steidl ◽  
Christa Fonatsch ◽  
Michael Pfeilstöcker ◽  
Thomas Nösslinger ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Overall Survival ◽  
Myelodysplastic Syndromes ◽  
Scoring System ◽  
International Prognostic Scoring System ◽  
Prognostic Impact ◽  
Bone Marrow Blast ◽  
Poor Risk ◽  
Blast Count ◽  
The Impact

Purpose The International Prognostic Scoring System (IPSS) remains the most commonly used system for risk classification in myelodysplastic syndromes (MDSs). The IPSS gives more weight to blast count than to cytogenetics. However, previous publications suggested that cytogenetics are underweighted in the IPSS. Here we investigate the prognostic impact of cytogenetic subgroups compared with that of bone marrow blast count in a large, multicentric, international patient cohort. Patients and Methods In total, 2,351 patients with MDS who have records in the German-Austrian and the MD Anderson Cancer Center databases were included and analyzed in univariate and multivariate models regarding overall survival and risk of transformation to acute myeloid leukemia (AML). The data were analyzed separately for patients treated with supportive care without specific therapy, with AML-like chemotherapy, or with other therapy regimens (low-dose chemotherapy, demethylating agents, immune modulating agents, valproic acid, and cyclosporine). Results The prognostic impact of poor-risk cytogenetic findings (as defined by the IPSS classification) on overall survival was as unfavorable as an increased (> 20%) blast count. The hazard ratio (compared with an abnormal karyotype or a bone marrow blast count < 5%) was 3.3 for poor-risk cytogenetics, 4.8 for complex abnormalities harboring chromosomes 5 and/or 7, and 3.1 for a blast count of 21% to 30% (P < .01 for all categories). The predictive power of the IPSS cytogenetic subgroups was unaffected by type of therapy given. Conclusion The independent prognostic impact of poor-risk cytogenetics on overall survival is equivalent to the impact of high blast counts. This finding should be considered in the upcoming revision of the IPSS.

scholarly journals Impact of Driver Mutations in Patients with Lower-Risk Myelodysplastic Syndromes Classified By the MD Anderson Lower-Risk Prognostic Scoring System

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 4317-4317
Author(s):  
Guillermo Montalban-Bravo ◽  
Koichi Takahashi ◽  
Ana Alfonso Pierola ◽  
Feng Wang ◽  
Song Xingzhi ◽  
...  
Keyword(s):  
Myelodysplastic Syndromes ◽  
Scoring System ◽  
Lower Risk ◽  
Research Funding ◽  
Prognostic Model ◽  
Advisory Board ◽  
Driver Mutations ◽  
New Model ◽  
Mutation Data ◽  
Md Anderson

Abstract INTRODUCTION: Patients with lower-risk myelodysplastic syndromes (MDS) as defined by the International Prognostic Scoring System (IPSS) are generally considered to have favorable prognosis. The MD Anderson Lower-risk Prognostic Scoring system (MDA LR-PSS) is a validated prognostic model that defines a subset of patients with shorter than expected survival. Presence of EZH2mutations has been reported to independently impact survival of these patients. Further evaluation and validation of the addition of mutation data to this prognostic model is needed. METHODS: We conducted whole exome sequencing of 74 previously untreated patients with Low or Int-1 IPSS. Exome capture hybrid was performed using Agilent SureSelect All Exon V4. Sequencing was performed with Illumina HiSeq 2000 and aligned to the hg19 human genome reference. Common virtual normal in house pool was used for somatic variant calling. Generalized linear models were used to study association of overall response (OR), complete response (CR) and risk factors. Response was defined following 2006 IWG criteria. The Kaplan-Meier produce limit method was used to estimate the median overall survival (OS) and leukemia-free survival (LFS). RESULTS: Patient characteristics are summarized in Table 1. Seventeen (23%) patients had CMML and 57 (77%) had MDS. Seventy (95%) patients had evaluable cytogenetics. A total of 46 (66%) patients had normal karyotype with 4 (6%) patients having complex karyotype. Twenty-three (31%) patients were classified as Low risk by IPSS and 51 (69%) as Int-1. Twelve (16%) patients were classified as Category 1 by the MDA LR-PSS, 38 (51%) as Category 2 and 24 (32%) as Category 3. A total of 148 driver mutations in 27 genes were detected. Median number of driver mutations per patient was 2 (range 0-5). Mutations in TET2, SRSF2, ASXL1, SF3B1 and ZRSR2 were the most frequently detected mutations present in >10% cases. Frequency of identified mutations is shown in Figure 1A. The median follow up was 26.5 months (range 3-102 months). Median OS was 43.2months (95% CI 35.04-50.46). Survival by MDA LR-PSS category is shown in Figure 1B. A total of 6 patients had transformation to acute myeloid leukemia with a median time to transformation of 22.4 months (95% CI 0.00-45.28). By univariate analysis, mutations in BCOR (HR 5.49, 9% CI 1.24-24.29, p=0.011), RUNX1 (HR 2.8, 95% CI 1.11-7.09, p=0.023) and STAG2 (HR 3.32, 95% CI 1.12-9.82, p=0.022) predicted for shorter OS. When analyzing for LFS, mutations in EZH2 (HR 18.61, 95% CI 2.99-115.92, p<0.001) and U2AF1 (HR 5.08, 95% CI 0.92-28.06, p=0.038) predicted for shorter LFS. By multivariate analysis combining the identified driver mutations with prognostic relevance and the MDA LR-PSS category, presence of MDA LR-PSS Category 3 (HR 5.98, 95%CI 1.28-28, p=0.023), RUNX1 mutation (HR 4.18, 95%CI 1.36-12.81, p=0.012) and STAG2 mutation (HR 3.7, 95%CI 1.02-13.47, p=0.047) retained there prognostic significance. Based on these results we designed a new model with scoring being based on HR for each given variable: MDA LR-PSS Category 3 2 points, RUNX1mut 1 point and STAG2mut 1 point. Patients were classified into three categories: Low, High or Very high with significantly different survival outcomes (Figure 1C). Based on this new model, patients with Category 2 MDA LR-PSS with either STAG2 or RUNX1 mutations had similar outcomes to those with Category 3 and no mutations (p=0.747). Patients with either Category 1 or Category 2 by MDA LR-PSS without STAG2 or RUNX1 mutations had similar OS (p=0.306) and represented the population with most favorable outcomes (p<0.001). Finally, patients with Category 3 with STAG2 or RUNX1 mutations had the worse outcomes in terms of survival (p<0.001). CONCLUSION: Similar to previous studies, our data suggests integration of mutation data into the MDA LR-PSS can improve our ability to predict outcomes of patients with lower-risk MDS. Mutations in STAG2 and RUNX1 can help identify a subset of patients with worse than expected outcomes as predicted by the MDA LR-PSS. Table 1 Table 1. Figure 1 Figure 1. Disclosures Jabbour: ARIAD: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Novartis: Research Funding; BMS: Consultancy. Ravandi:Seattle Genetics: Consultancy, Honoraria, Research Funding; BMS: Research Funding. Cortes:ARIAD: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Teva: Research Funding. DiNardo:Daiichi Sankyo: Other: advisory board, Research Funding; Abbvie: Research Funding; Novartis: Other: advisory board, Research Funding; Celgene: Research Funding; Agios: Other: advisory board, Research Funding. Daver:Otsuka: Consultancy, Honoraria; Kiromic: Research Funding; Ariad: Research Funding; BMS: Research Funding; Sunesis: Consultancy, Research Funding; Karyopharm: Honoraria, Research Funding; Pfizer: Consultancy, Research Funding. Konopleva:Reata Pharmaceuticals: Equity Ownership; Abbvie: Consultancy, Research Funding; Genentech: Consultancy, Research Funding; Stemline: Consultancy, Research Funding; Eli Lilly: Research Funding; Cellectis: Research Funding; Calithera: Research Funding. Kantarjian:Bristol-Myers Squibb: Research Funding; ARIAD: Research Funding; Amgen: Research Funding; Pfizer Inc: Research Funding; Delta-Fly Pharma: Research Funding; Novartis: Research Funding.

Validation of the Lower Risk MD Anderson Prognostic Scoring System for Patients with Myelodysplastic Syndromes (MDS)

2015 ◽  
Vol 15 ◽  
pp. S232-S233
Author(s):  
Hanadi Ramadan ◽  
Maria Corrales-Yepez ◽  
Najla Ali ◽  
Ling Zhang ◽  
Eric Padron ◽  
...  
Keyword(s):  
Myelodysplastic Syndromes ◽  
Scoring System ◽  
Lower Risk ◽  
Md Anderson

Arsenic Trioxide in Patients With Myelodysplastic Syndromes: A Phase II Multicenter Study

2006 ◽  
Vol 24 (16) ◽  
pp. 2465-2471 ◽  
Author(s):  
Norbert Vey ◽  
Andre Bosly ◽  
Agnes Guerci ◽  
Walter Feremans ◽  
Herve Dombret ◽  
...  
Keyword(s):  
Arsenic Trioxide ◽  
Myelodysplastic Syndromes ◽  
Scoring System ◽  
Lower Risk ◽  
International Prognostic Scoring System ◽  
Risk Category ◽  
Moderate Activity ◽  
Loading Dose ◽  
Median Response ◽  
System Risk

Purpose Evaluation of the safety and efficacy of arsenic trioxide in patients with myelodysplastic syndromes (MDS). Patients and Methods MDS patients diagnosed according to standard French-American-British criteria received a loading dose of 0.3 mg/kg per day of arsenic trioxide for 5 days followed by a maintenance dose of 0.25 mg/kg arsenic trioxide twice weekly for 15 weeks. Patients were divided into two cohorts: lower-risk MDS (International Prognostic Scoring System risk category low or intermediate 1) and higher-risk MDS (International Prognostic Scoring System risk category intermediate 2 or high). Modified International Working Group criteria were used for response evaluation. Results Of 115 patients enrolled and treated in the study, 67% of patients were transfusion dependent at baseline; median age was 68 years. Most treatment-related adverse events were mild to moderate. The overall rate of hematologic improvement (intent-to-treat) was 24 (19%) of 115, including one complete and one partial response in the higher-risk cohort. The hematologic response rates were 13 (26%) of 50 and 11 (17%) of 64 in patients with lower-risk and higher-risk MDS, respectively. Major responses were observed in all three hematologic lineages; 16% of RBC transfusion-dependent patients and 29% of platelet transfusion-dependent patients became transfusion independent. At data cut off, the median response duration was 3.4 months, with responses ongoing in nine patients. Conclusion Arsenic trioxide treatment consisting of an initial loading dose followed by maintenance therapy has moderate activity in MDS, inducing hematologic responses in both lower- and higher-risk patients. This activity combined with a manageable adverse effect profile warrants the additional study of arsenic trioxide, particularly in combination therapy, for the treatment of patients with MDS.

Obesity Is Poor Prognostic Factor in Lower Risk Myelodysplastic Syndrome

Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 5018-5018
Author(s):  
Asmita Mishra ◽  
Dana E Rollison ◽  
Najla H Al Ali ◽  
Maria Corrales-Yepez ◽  
Pearlie K Epling-Burnette ◽  
...  
Keyword(s):  
Overall Survival ◽  
Prognostic Factor ◽  
Myelodysplastic Syndrome ◽  
Lower Risk ◽  
Cox Regression ◽  
Cancer Center ◽  
Kaplan Meier ◽  
Baseline Characteristics ◽  
Md Anderson ◽  
The Impact

Abstract Abstract 5018 Background: Obesity was associated with a more than 2-fold greater risk of myelodysplastic syndrome (MDS) in a recent epidemiological study (Ma et al, Am J Epidemiol. 2009 June 15; 169(12): 1492–1499). The impact of obesity on outcome of disease in patients with an established diagnosis of MDS has not been studied. We examined the prognostic value of obesity in a large cohort of lower risk MDS patients treated at the Moffitt Cancer Center (MCC). Methods: Data were collected retrospectively from the Moffitt Cancer Center (MCC) MDS database and individual charts reviewed. The primary objective was to evaluate the impact of obesity on overall survival (OS) in lower risk patients with MDS. Patients with low or intermediate-1 (int-1) risk disease by International Prognostic Scoring System (IPSS) were included. Obesity was defined as a body mass index (BMI) ≥ 30 (Standard definition) measured at time of referral to MDS program at MCC. Patients were divided into two groups according to BMI ≥ 30 or BMI < 30. All analyses were conducted using SPSS version 19.0. Chi square and independent t-test were used to compare baseline characteristics between the 2 groups for categorical and continuous variables, respectively. The Kaplan–Meier method was used to estimate median overall survival. Log rank test was used to compare Kaplan–Meier survival estimates between two groups. Cox regression was used for multivariable analysis. Results: Between January 2001 and December 2009, 479 low/int-1 IPSS risk MDS patients were included. Among those, 132 (27.6%) had BMI ≥ 30 and 325 (67.8%) had BMI <30; BMI was missing in 22 patients (4.6%). The baseline characteristics between the two groups were comparable. No difference was noted in mean age, WHO subtype, karyotype, MD Anderson risk model group, red blood cell transfusion dependency (RBC-TD), or serum ferritin (Table-1). The median OS was 59 mo (95%CI 48–70) in patients with BMI <30 compared to 44 (95%CI 38–50) in patients with BMI ≥ 30. (p=0.03). There was no difference in rate of AML transformation according to BMI, 12.9% and 15.7% respectively for BMI ≥ 30 and BMI <30. (P=0.3). In Cox regression analysis obesity predicted inferior OS (Hazard ratio (HR) 1.7 (95%CI 1.15–2.4) (P=0.007) after adjustment for age, MD Anderson risk group, serum ferritin, RBC-TD, use of hypomethylating agents and tobacco use. Conclusion: Our data suggest that obesity is an independent adverse prognostic factor for OS in patients with lower risk MDS. Obesity may be associated with other comorbidities and metabolic dearrangements that contribute to the pathogenesis of the underlying disease. Disclosures: No relevant conflicts of interest to declare.

A Comparison of Prognostic Models for Chronic Myelomonocytic Leukemia (CMML) in the Era of Hypomethylating Agents

Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 1695-1695 ◽  
Author(s):  
Eric Padron ◽  
Najla H Al Ali ◽  
Deniz Peker ◽  
Jeffrey E Lancet ◽  
Pearlie K Epling-Burnette ◽  
...  
Keyword(s):  
Overall Survival ◽  
Scoring System ◽  
Prognostic Model ◽  
Median Overall Survival ◽  
Prognostic Score ◽  
Risk Groups ◽  
Prognostic Models ◽  
Rank Test ◽  
Log Rank Test ◽  
Md Anderson

Abstract Abstract 1695 Introduction: CMML is a genetically and clinically heterogeneous malignancy characterized by peripheral monocytosis, cytopenias, and a propensity for AML transformation. Several prognostic models attempt to stratify patients into subcategories that are predictive for overall survival (OS), six models of which are specific to CMML. However, these models have either never been externally validated in the context of CMML or were externally validated prior to the use of hypomethylating agents. We externally validate and perform a detailed statistical comparison between the International Prognostic Scoring System (IPSS), MD Anderson Scoring System (MDASC), MD Anderson Prognostic Score (MDAPS), Dusseldorf Score (DS), and Spanish Scoring Systems (SS) in a large, single institution cohort. Methods: Data were collected retrospectively from the Moffitt Cancer Center (MCC) CMML database and charts were reviewed of patients that satisfied the WHO criteria for the diagnosis of CMML. The primary objective of the study was to validate the above prognostic models calculated at the time of initial presentation to MCC. All prognostic models were calculated as previously published. All analyses were conducted using SPSS version 15.0 (SPSS Inc, Chicago, IL). The Kaplan–Meier (KM) method was used to estimate median overall survival and the log rank test was used to compare KM survival estimates between two groups. Results: Between January 2000 and February 2012, 123 patients were captured by the MCC CMML database. The median age at diagnosis was 69 (30–90) years and the majority of patients were male (69%). By the WHO classification, the majority of patients had CMML-1 (84% vs. 16%) and most patients were subcategorized as MPN-CMML (59%) versus MDS-CMML (39%) by the FAB CMML criteria. The median overall survival of the entire cohort was 30 months and the rate of AML transformation was 44% (54). Twenty-two patients (18%) were treated with decitabine and 66 (54%) patients were treated with 5-azacitidine. Risk group stratification according to specific prognostic model is summarized in Table 1. The IPSS, MDASC, DS, and SS all predicted OS (p<0.05) while the MDASP could not be validated (p=0.924). When only patients who were treated with 5-azacitadine were considered, the MDASC, DS, and SS continued to predict OS (p<0.05) while the IPSS (p=0.15) and MDASP (p=0.239) did not. Previous reports have demonstrated that the MDASC provides further discrimination to refine stratification by the IPSS in Myelodysplastic Syndromes (MDS). Except for the low-risk DS patients, we grouped patients in our CMML cohort into lower and higher risk disease with each prognostic score and attempted to further stratify patients by the MDASC using KM and the log rank test. The MDASC was able to further risk stratify patients in each group for all prognostic models except those in the higher risk groups by the SS (p=0.07) and DS (P=0.45). When a similar statistical analysis was applied to each prognostic scoring system, only the MDASC was consistently able to further stratify the majority of risk groups as described in Table 2. The Dusseldorf scoring system was able to further stratify all lower risk groups regardless of model but was not able to do so in higher risk disease. Conclusions: This represents the first external validation of existing CMML prognostic models in the era of hypomethylating agent therapy. Except for the MDASP, we were able to validate the prognostic value all models tested. The MDASC represents the most robust model as it consistently refined the stratification of other models tested and remained predictive of OS in 5-azacitidine treated patients. Multi-institution collaboration is needed to construct a robust CMML specific prognostic model. Comparison to the IPSS-R is in progress. Disclosures: No relevant conflicts of interest to declare.

scholarly journals Impact of Red Blood Cell Transfusion Burden Status in Patients with Lower-Risk Myelodysplastic Syndromes

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3013-3013
Author(s):  
Montserrat Arnan Sangerman ◽  
Helena Pomares ◽  
Esther Alonso ◽  
Javier Grau ◽  
Mercedes Galiano ◽  
...  
Keyword(s):  
Overall Survival ◽  
Myelodysplastic Syndromes ◽  
Lower Risk ◽  
Progression Free Survival ◽  
Low Risk ◽  
Age At Diagnosis ◽  
Free Survival ◽  
The Impact ◽  
Rbc Transfusion

Background: RBC-transfusion dependency (RBC-TD) is associated with a decreased probability of overall survival (OS) and progression free survival (PFS) in patients with myelodysplastic syndromes (MDS) (Malcovati L et al. J Clin Oncol 2007 25:3505) but it is unclear if transfusion dose burden is an independent prognostic factor. The purpose of this study was to assess the impact on lower-risk MDS patients, of RBC-transfusion (RBCT) burden status defined according to revised 2018 IWG criteria (Platzbecker et al; Blood 2018). Material and Methods: According to the R-IPSS selection criteria, we identified in our database 474 lower-risk (R-IPSS risk very low, low and intermediate) MDS patients diagnosed at the Catalan Institute of Oncology of Barcelona (01/1992-07/2018). Transfusion burden history was prospectively registered in our database. Data on the transfusion burden was calculated dividing the cumulative total of units of blood received at the end by the time since the beginning of the interval in which the first transfusion was received. RBCT burden, defined according to 2018 IWG criteria, divided patients into 3 categories (non-transfused [NTD], low transfusion burden [LTB] (3 to 7 units in 16 weeks) and high transfusion burden [HTB] patients (³ 8 units in 16 weeks). In this analysis, patients who had received 1 or 2 RBC units in 16 weeks, where included in the NTD category. Overall survival (OS) and progression free survival (PFS) were measured in years since diagnosis. Results: Median age at diagnosis was 72 years (range 32-101). 332 (70%) patients were male. WHO diagnosis was: 3% CRDU, 7% RA, 42% RCMD, 14% RAEB-1, 4% RAEB-2, 26% CMML, the remaining 4% were MDS-U and isolated 5q deletion. R-IPSS categories were: 178 (38%) very low risk, 219 (46.2%) low risk and 77 (16%) intermediate risk. Median follow up time for survivors was 5.4 years (range 0.25-23.8). 132 (28%) of patients were transfusion dependents (LTB and HTB patients). Mean dose density of packed red blood cells amongst those who were transfusion dependents was 3.2 units per month, with a median of 2.9 units per month (IQR 1.9-4.3). At the time of last follow up, 274 (58%) patients had died and 72 (15%) had progressed to AML. According to 2018 IWG criteria, RBCT burden categories were 342 (72%) NTD, 35 (7%) LTB and 97 (21%) HTB patients. Median OS for RBCT burden categories: NTD (8 years; 95% CI 6.6-9.5), LTB (6.2 years; 95% CI 4.2-8.1) and HTB (3.1 years; 95% CI 2.4-3.8) were significantly different (p<0.001; Figure 1). Moreover, the rate of progression to acute myeloid leukemia was 39 (11%), 7 (20%) and 26 (27%) for categories NTD, LTB and HTB respectively (p<0.001). Multivariate analysis performed included gender, age at diagnosis, IPSS-R and RBCT burden status and showed that RBCT burden status was associated with poor OS and PFS, independent of R-IPSS category, age and gender (Table 1). Transfusion burden was inversely associated with OS and PFS with an increasing effect on hazard ratio. Conclusions: Our results confirm in our single-centre experience the negative impact on survival and progression-free survival of RBCT treatment, even at relatively low dose burden. As therapeutical decisions are based on the initial prognostic risk assessment, the inclusion of RBCT burden categories may provide more precise prognostic information with impact on the therapeutic approach. Disclosures Sureda: Novartis: Consultancy, Honoraria; Takeda: Consultancy, Honoraria, Speakers Bureau; Sanofi: Consultancy, Honoraria; Roche: Honoraria; BMS: Consultancy, Honoraria; Gilead: Consultancy; Janssen: Consultancy, Honoraria.

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