Validation of a Flow Cytometric Scoring System for the Prognostication of the Myelodysplastic Syndromes: a Retrospective Cohort Study

Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 4012-4012
Author(s):  
Canan Alhan ◽  
Theresia M. Westers ◽  
Claudia Cali ◽  
Gert J. Ossenkoppele ◽  
Arjan A. Van de Loosdrecht

Abstract Abstract 4012 The myelodysplastic syndromes (MDS) are a heterogeneous group of clonal hematopoietic stem cell disorders, characterized by cytopenia(s), dysplasia and a propensity to evolve into acute myeloid leukemia. The International Prognostic Scoring System (IPSS) and WHO-based prognostic scoring system provide prognostic information. However, even if patients are allocated in the same risk category their clinical course remains heterogeneous. Recent developments in the treatment of MDS require refinement of prognostication and identification of patients who might benefit from treatment with potentially disease modifying agents such as lenalidomide or azacitidine. Flow cytometry (FC) is emerging as a valuable technique for the diagnosis and prognosis of MDS. Recently, we demonstrated that flow cytometric analysis of BM in low and int-1 risk MDS is instrumental to identify clinically relevant subgroups. (Westers et al, Blood 2010) Previously, it was reported that a flow cytometric scoring system (FCSS) is predictive for worse outcome in MDS. (Wells et al, Blood 2003, van de Loosdrecht et al, Blood 2008) The FCSS is a scoring system that allows for a numerical display of immunophenotypic aberrancies in the (im)mature myelo-monocytic lineage. Scores are generated by enumerating abnormalities; a high score reflects a high number of aberrancies. The current study aimed to validate the FCSS for identification of prognostic subgroups in MDS. We analyzed aberrancies in (im)mature myelo-monocytic cells by FC in BM of 102 MDS patients, including 48 MDS patients from the previous cohort. The diagnoses according to WHO 2001 classification were RA(RS) n=19, RCMD(RS) n=54, RAEB-1 n=11, RAEB-2 n=13, MDS-U n=5 and also age-matched healthy volunteers (n=39) were included. The median age of MDS patients was 66 and of healthy volunteers 57. The FCSS in RA(RS) (median=3, range 1–6) patients was significantly higher compared with healthy controls (median=1, range 0–2, p<0.001). In contrast to our previous results the FCSS for RA(RS) and RCMD(RS) patients did not differ. This is a remarkable finding, since by morphology RA(RS) patients have unilineage dysplasia, in contrast to flow cytometric findings, where 84% (16/19) of the RA(RS) patients had two or more aberrancies in the (im)mature myelomonocytic compartment. The FCSS was higher in RAEB-1 (median=6, range 2–7) and RAEB-2 (median=6, range 4–8) compared with RCMD(RS) (median=3, range 0–6, p=0.02 and p<0.0001, respectively). Overall, the FCSS correlated significantly with WHO 2001 classification (p<0.0001). The FCSS showed a significant correlation with IPSS categories low, int-1, int-2 and high (p<0.0001). Remarkably, the FCSS was not correlated with cytogenetic risk categories low, intermediate and poor. The new German-Austrian Cytogenetic Prognostic Scoring System for MDS was also not correlated with the FCSS. This indicates that the FCSS and cytogenetics might provide separate prognostic information in MDS. Neutrophil granularity corresponding with side scatter by FC was significantly decreased in MDS patients compared with healthy volunteers (p<0.0001). In the RA(RS) and RCMD(RS) category, 40% (29/73) of patients expressed an aberrant marker such as CD5, CD7 and/or CD56 on myeloid progenitors. Transfusion data was available of 51 patients. Interestingly, the majority of MDS patients who were transfusion dependent or progressive, had aberrant expression of CD5, CD7 and/or CD56 on myeloid progenitors compared with MDS patients without aberrant marker expression (64% (16/25) vs 31% (8/26), respectively p=0.04). When the cumulative amount of all aberrancies in the (im)mature myelo-moncytic cells were taken into account, transfusion dependent patients had significantly more aberrancies than transfusion independent MDS patients, (median 6.5 vs 4, respectively, p=0.006). In conclusion, we here confirmed our previous findings in a larger cohort. The majority of RA(RS) patients already has multilineage dysplasia as detected by FC, which might be of prognostic relevance. Although the FCSS correlates with current prognostic systems, a striking heterogeneity remains within prognostic subgroups. Therefore, the FCSS and detection of aberrant myeloid progenitors can provide refined prognostication by identification of patients at risk for transfusion dependency and adverse clinical outcome, independent of current classification systems. Disclosures: Ossenkoppele: Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Van de Loosdrecht:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding.

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 112-112 ◽  
Author(s):  
Andrea Kuendgen ◽  
Heinz Tuechler ◽  
Meritxell Nomdedeu ◽  
Detlef Haase ◽  
Guillermo Garcia-Manero ◽  
...  

Abstract To develop a prognostic scoring system tailored for therapy-related myelodysplastic syndromes (tMDS), we put together a database containing 1933 patients (pts) with tMDS from Spanish, German, Swiss, Austrian, US, Italian, and Dutch centers diagnosed between 1975-2015. Complete data to calculate the IPSS and IPSS-R were available in 1603 pts. Examining different scoring systems, we found that IPSS and IPSS-R do not risk stratify tMDS as well as they do primary MDS (pMDS), thereby supporting the need for a tMDS-specific score (Kuendgen et al., ASH 2015). The current analysis focuses on cytogenetic information as a potential component of a refined tMDS score, based on this large, unique patient cohort. Of the 1933 pts, 477 had normal karyotype (KT), 197 had missing cytogenetics, while 467 had a karyotype not readily interpretable. Incomplete karyotype descriptions will be reedited for the final evaluation. Of the remaining 1269 pts the most frequent cytogenetic abnormalities (abn) were: -7, del(5q), +mar, +8, del(7q), -5, del(20q), -17, -18, -Y, del(12p), -20, and +1 with >30 cases each. Frequencies are shown in Table 1. Some abn were observed mostly or solely within complex KTs, such as monosomies, except -7. Others, like del(20q) or -Y, are mainly seen as single or double abn, while del(5q), -7, or del(7q) are seen in complex as well as non-complex KTs. The cytogenetic profile overlapped with that of pMDS (most frequent abn: del(5q), -7/del(7q), +8, -18/del(18q), del(20q), -5, -Y, -17/del(17p), +21, and inv(3)/t(3q) (Schanz et al, JCO 2011)), with notable differences including overrepresentation of complete monosomies, a higher frequency of -7 or t(11q23), and a more frequent occurrence of cytogenetic subtypes in complex KTs, which was especially evident in del(5q) occurring as a single abn in 16%, compared to 70% within a complex KT. IPSS-R cytogenetic groups were distributed as follows: Very Good (2%), Good (35%), Int (17%), Poor (15%), Very Poor (32%). Regarding the number of abn (including incomplete KT descriptions) roughly 30% had a normal KT, 20% 1, 10% 2, and 40% ≥3 abn, compared to pMDS: 55% normal KT, 29% 1, 10% 2, and 6% ≥3 abn. To be evaluable for prognostic information, abn should occur in a minimum of 10 pts. As a single aberration this was the case for -7, +8, del(5q), del(20q), del(7q), -Y, and t(11;varia) (q23;varia). Of particular interest, there was no apparent prognostic difference between -7 and del(7q); del(5q) as a single abn was associated with a relatively good survival, while the prognosis was poor with the first additional abn; t(11q23) occurred primarily as a single abn and was associated with an extremely poor prognosis, and prognosis of pts with ≥4 abn was dismal independent of composition (Table 1). To develop a more biologically meaningful scoring system containing homogeneous and prognostically stable groups, we will further combine subgroups with different abn leading to the same cytogenetic consequences. For example, deletions, unbalanced translocations, derivative chromosomes, dicentric chromosomes of 17p, and possibly -17 all lead to a loss of genetic material at the short arm of this respective chromosome affecting TP53. Further information might be derived from analyses of the minimal common deleted regions. For some abn, like del(11q), del(3p), and del(9q), this can be refined to one chromosome band only (table 1). Conclusion: Development of a robust scoring system for all subtypes of tMDS is challenging using existing variables. This focused analysis on the cytogenetic score component shows that favorable KTs are evident in a substantial proportion of pts, in contrast to historic data describing unfavorable cytogenetics in the majority of pts. Although complex and monosomal KTs are overrepresented, this suggests the existence of distinct tMDS-subtypes, although some of these cases might not be truly therapy-induced despite a history of cytotoxic treatment. The next steps will be to analyze the prognosis of the different groups, develop a tMDS cytogenetic score, and examine minimal deleted regions to identify candidate genes for development of tMDS, as well as to describe the possible influence of different primary diseases and treatments (radio- vs chemotherapy, different drugs) on induction of cytogenetic subtypes. Our detailed analysis of tMDS cytogenetics should reveal important prognostic information and is likely to help understand mechanisms of MDS development. Disclosures Komrokji: Novartis: Consultancy, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Sole:Celgene: Membership on an entity's Board of Directors or advisory committees. Sekeres:Celgene: Membership on an entity's Board of Directors or advisory committees; Millenium/Takeda: Membership on an entity's Board of Directors or advisory committees. Roboz:Cellectis: Research Funding; Agios, Amgen, Amphivena, Astex, AstraZeneca, Boehringer Ingelheim, Celator, Celgene, Genoptix, Janssen, Juno, MEI Pharma, MedImmune, Novartis, Onconova, Pfizer, Roche/Genentech, Sunesis, Teva: Consultancy. Steensma:Amgen: Consultancy; Genoptix: Consultancy; Janssen: Consultancy; Celgene: Consultancy; Millenium/Takeda: Consultancy; Ariad: Equity Ownership. Schlenk:Pfizer: Honoraria, Research Funding; Amgen: Research Funding. Valent:Amgen: Honoraria; Deciphera Pharmaceuticals: Research Funding; Celgene: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Ariad: Honoraria, Research Funding; Deciphera Pharmaceuticals: Research Funding. Giagounidis:Celgene Corporation: Consultancy. Giagounidis:Celgene Corporation: Consultancy. Platzbecker:Celgene Corporation: Honoraria, Research Funding; TEVA Pharmaceutical Industries: Honoraria, Research Funding; Novartis: Honoraria, Research Funding; Janssen-Cilag: Honoraria, Research Funding; Amgen: Honoraria, Research Funding. Lübbert:Janssen-Cilag: Other: Travel Funding, Research Funding; Celgene: Other: Travel Funding; Ratiopharm: Other: Study drug valproic acid.


Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 2915-2915
Author(s):  
Canan Alhan ◽  
Theresia M. Westers ◽  
Claudia Cali ◽  
Floortje L. Kessler ◽  
Monique Terwijn ◽  
...  

Abstract Abstract 2915 Interactions in the bone marrow (BM) between haematopoietic progenitor cells (HPC) and the BM micro environment are important for the regulation of cell adhesion, proliferation, differentiation and survival. Expression of both CD62L (L-selectin) and CD54 (ICAM-1) on HPC demonstrated to play a role in signal transduction routes for proliferation and growth regulation. Especially CD54 is involved in uncontrolled proliferation and block of apoptosis. Previously, it was described that decreased expression of CD62L in acute myeloid leukemia (AML) was associated with a poor cytogenetic risk profile and an adverse clinical outcome (Graf M et al, Eur J Haematol 2003) Myelodysplastic syndromes are a group of clonal HPC disorders characterized by ineffective hematopoiesis and a propensity to evolve into AML. The International Prognostic Scoring System (IPSS) provides information on both survival and risk of development of an AML. The purpose of our study was to evaluate CD62L and CD54 expression on CD34+ cells in MDS patients by flow cytometry and to assess the value of a CD62L/CD54 ratio for prognostication. Bone marrow samples of 30 newly diagnosed MDS patients (3 RA(RS)/18 RCMD(RS), the <5% blasts group; 5 RAEB-1, 4 RAEB-2, the >5% blasts group), 16 AML patients with prior MDS and 26 healthy volunteers were analyzed for CD62L and CD54 expression on CD34+ cells by using flow cytometry. An adhesion index was calculated as a ratio of the percentage and MFI of CD62L and CD54 positive cells (as was reported by Buccisano et al, Eur J Haematol 2007). The CD62L/CD54 ratio was significantly decreased in MDS with <5% blasts (median 79.09 p<0.0001) as compared to healthy volunteers (median 480.4) and even more decreased in high risk MDS (median 14.67 p<0.0001 and p=0.001 as compared to healthy volunteers and MDS with <5% blasts, respectively) and AML with prior MDS (median 12.54, p<0.0001 and p=0.009 as compared to healthy volunteers and MDS with <5% blasts, respectively). The MDS patients were assigned to the good, intermediate or poor IPSS cytogenetic risk category. Cytogenetics was available for 22 MDS patients. The CD62L/CD54 ratio was significantly lower in the cytogenetic poor risk category compared with the good risk category (median 5.4 and median 70.79 respectively, p=0.018). Moreover, a low CD62L/CD54 ratio correlated significantly with poor cytogenetics, p=0.006. In the group of MDS patients with <5% blasts, 4 developed a refractory anemia with excess of blasts or AML within a follow up period of 12 months. There was a trend for a lower CD62L/CD54 ratio for MDS patients who developed an AML compared with patients who did not. In conclusion, the CD62L/CD54 ratio is significantly decreased in MDS compared with healthy volunteers and even more decreased in AML with prior MDS. Both CD62L and CD54 are involved in regulation of proliferation and apoptosis of the HPC. A decreased adhesion ratio in low risk MDS patients might reflect HPC damage at an early stage of the disease with an increased proliferative capacity and a decreased apoptotic profile. Interestingly, a low CD62L/CD54 ratio showed a significant inverse correlation with the IPSS cytogenetic risk category. Due to an absence of metaphases in a proportion of MDS patients, cytogenetics is not always available. The CD62L/CD54 ratio might serve as a surrogate marker for poor prognosis cytogenetics in case no karyotype is available. Low risk MDS patients who developed an AML within 12 months tended to have a lower CD62L/CD54 ratio. Although these results are promising, sample size and follow up period needs to be extended. The CD62L/CD54 ratio might add to prognostication of MDS patients and might identify MDS patients with <5% blasts who are at risk for development of an AML. Disclosures: Ossenkoppele: Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Van de Loosdrecht:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 7-8
Author(s):  
Maël Heiblig ◽  
Hélène Labussière ◽  
Marie Virginie Larcher ◽  
Gaelle Fossard ◽  
Marie Balsat ◽  
...  

Minimal residual disease is now a powerfull surrogate marker to assess response to chemotherapy in acute myeloid leukemia (AML). In younger adults, NPM1 MRD has recently demonstrated to be a favorable predictive marker for EFS and OS independently of fms-like tyrosine kinase-3 internal tandem duplications (FLT3-ITD) status. However, there is very few datas regarding predictive value of NPM1 MRD in elderly patients treated with intensive chemotherapy. Moreover, numerous studies have suggested the negative impact of DNMT3a mutation in NPM1 AML patients, especially in those with concurrent FLT3-ITD mutation. In this study, we aimed to investigate the impact of DNMT3a status on post induction NPM1 MRD1 predictive value for survival in a retrospective cohort of AML patients aged over 60 years old treated intensively. A total of 138 patients treated for NPM1 mutated AML in two French institutions (Lyon, Lille) were analyzed retrospectively. Median age of the entire cohort was 66.1 years old (range 60-78.2). An FLT3-ITD mutation was evidenced in 52 of 138 patients (37.6%) with a median FLT3-ITD AR of 0.53 (range, 0.05-3). With a median follow-up of 19.61 months (0.07-128.4), the overall CR rate was 89.9% with no influence of DNMT3a or FLT3 mutational status on the probability of CR. In this elderly cohort of NPM1mut patients, a 4log reduction of NPM1 bone marrow (BM) MRD1 was associated with better outcome (median OS: NR vs 13.4 months, HR=0.35, p&lt;0.01)(Figure A). Overall, DNMT3 status did not influence the probability of having a ≥ 4log MRD1 reduction after induction. However, only 9/44 (20.4%) FLT3-ITD patients reached ≥ 4log MRD1 reduction whereas 38/80 FLT3wt (47.5%) were good molecular responders (p&lt;0.001). FLT3-ITD mutated patients who achieved a 4log reduction had a superior outcome compared to those who did not (HR=0.34; 95% CI, 0.16 to 0.70; P &lt;0.001). Similarly, NPM1mut FLT3wt patients with a 4log reduction in NPM1 BM-MRD1 had a longer OS (3-year OS, 68.1%; 95% CI, 48.8 to 82.9) than those without good molecular response (3-year OS, 46.5%; 95% CI, 30.2 to 61.7)(Figure B). DNMT3a negative patients who achieved a 4log reduction had a superior outcome to those who did not reached at least a 4log reduction (HR=0.23; 95% CI, 0.07 to 0.72; P &lt;0.001). However, postinduction NPM1 MRD1 reduction was not predictive of OS and leukemia free survival (LFS) in DNMT3amut patients. DNMT3amut patients has a very poor LFS which was even worst in poor NPM1 MRD1 responders compared to those who reached at least 4log reduction (median LFS: 8.3 months vs 17.4 months, HR = 0.48, 95% CI, 0.25-0.91, p=0.023)(Figure C). In multivariate analysis, only DNMT3a mutational status and a 4-log reduction in NPM1 BM-MRD were significantly associated with survival. Based on these results, we identified among NPM1 positive patients 3 groups with distinct prognosis, based on FLT3-ITD, DNMT3a status and NPM1 BM-MRD post induction response (NPM1 scoring system)(Figure D). When compared to ELN 2017 intermediate risk group (AUC=0.695), NPM1 scoring system (NPM1 SS) was more accurate for OS prediction in patients within intermediate (AUC=0.833) and unfavorable (AUC=0.863) NPM1 SS risk group. However, there was no significant difference in AUC between NPM1 SS favorable and ELN 2017 favorable risk group. These results confirm that post-induction NPM1 MRD1 is a reliable tool to assess disease outcome in elderly AML patients. However, the presence of DNMT3a also identify a subgroup of patients at very high risk of relapase, despite good molecular responses. As hematopoietic stem cell transplantation (HSCT) might improve OS in elderly patients, DNMT3a positive AML elderly patients should be considered for HSCT or post induction maintenance strategies, even within the favorable ELN risk group. Figure Disclosures Sujobert: Gilead/Kyte: Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sunesis: Research Funding.


Blood ◽  
2009 ◽  
Vol 114 (22) ◽  
pp. 1749-1749 ◽  
Author(s):  
Melita K Kenealy ◽  
John F Seymour ◽  
Cowan Linda ◽  
Alvin Milner ◽  
Pratyush Giri ◽  
...  

Abstract Abstract 1749 Poster Board I-775 Introduction Both thalidomide (Thal) and 5-azacitidine (Vidaza; AZA) have single-agent activity in patients (pts) with myelodysplastic syndromes (MDS), but there is limited experience with the combination. The addition of Thal to AZA may improve efficacy, but tolerability of the combination may be limited by side-effects. Patients and Methods This analysis included all evaluable pts on the Ph I/II Australasian Leukaemia and Lymphoma group (ALLG) MDS3 study of Thal and AZA. Pts were eligible if they had any FAB subtype of MDS; those with RA and RARS also required clinically significant cytopenias. Pts were excluded if they had previously received Thal or its derivatives or any demethylating agent. All pts were treated with Thal 50mg/d for the first 28d increasing to 100mg/d for a max of 12 Mo treatment and AZA 75mg/m2/d x7d every 28d until progression or prohibitive toxicity. The protocol specified dose delays or reductions for treatment-related toxicities. Results A total of 80 pts have been enrolled, with 41 treated between 7/08 – 7/09 currently evaluable. Median age is 68.5y (42-81) with 66% male. FAB MDS category was RA 15%, RARS 10%, RAEB 46%, RAEB-t 10% and CMML 17% with IPSS low 12%, intermed-1 37%, intermed-2 34% and high 12%. Median baseline Hb 88g/L (71-127), ANC 1.91×10 9/L (0.06-87.65) and platelets 75 ×10 9/L (10-399). Median time post diagnosis was 9 Mo. Seventeen pts (41%) remain on treatment with AZA alone (n=3) or both agents (n=14) with a median follow-up of 208d (60-297d). For those still on Thal and AZA median exposure to Thal is 209d (60-297d), with a median 7 cycles of AZA (2-9). For those 27 ceased Thal median exposure was 49d (17-220d) and of 24 ceasing AZA, median number cycles was 2 (1-8). Of 27 pts ceasing one (n=3) or both (n=24) agents; 7 withdrew consent, 3 at investigator decision, 4 for toxicity, 6 progressive disease, 1 lack of efficacy, 2 death (1 respiratory failure in setting of PD and WCC>300, 1 sepsis) and 4 unknown. There were 3 additional deaths within 28d of ceasing study therapy (all with PD); 2 due to sepsis and 1 intracranial haemorrhage. No pt experienced peripheral neuropathy Gr3 or worse. During cycle 1 of the first 40 consecutive patients on treatment, there were 18 episodes of Gr3+ non-haematologic toxicity in 13 patients; this was more likely in those with ECOG 2 (67% v 26%, p=0.053), age>65y (39% v 19%, p=0.175) and baseline ANC'0.5 (75% v 21%, p=0.008). Most of these events were infection related (a recognised risk of underlying MDS and of AZA alone); others occurred on only one occasion each (syncope, postop hemorrhage, respiratory disorder, renal failure, abdominal pain, pain, thrombosis and hypokalemia). Conclusions The combination of Thal 50-100mg/d and standard dose AZA is feasible without unexpected toxicity. Infections are common in the first cycle, particularly in pts with baseline neutropenia or impaired performance status. An updated toxicity analysis will be presented. Disclosures Kenealy: Celgene Pty Ltd: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Seymour:Celgene Pty Ltd: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Mills:Celgene Pty Ltd: Honoraria, Membership on an entity's Board of Directors or advisory committees. Szer:Celgene Pty Ltd: Honoraria, Speakers Bureau.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4494-4494
Author(s):  
Rachel Elizabeth Cooke ◽  
Jessica Chung ◽  
Sarah Gabriel ◽  
Hang Quach ◽  
Simon J. Harrison ◽  
...  

Abstract The average incidence of multiple myeloma (MM) is in the 7th decade that coincides with the development of immunosenescence and thymic atrophy, meaning that lymphocyte recovery after lymphopenia-inducing therapies (most notably autologous stem cell transplant, ASCT) is largely reliant on homeostatic proliferation of peripheral T cells rather than replenishing the T cell pool with new thymic emigrants. We have previously shown that there is a significant reduction in circulating naïve T cells with a reciprocal expansion of antigen-experienced cells from newly diagnosed MM (NDMM) to relapsed/refractory disease (RRMM). This results in a reduced TCR repertoire and the accumulation of senescence-associated secretory phenotype cytotoxic T cells, which maintain the ability to produce IFNγ but lose proliferative potential. A reduction in CD4:8 ratio is also a characteristic finding in MM with disease progression, which can be explained by high IL-15 levels in lymphopenic states that preferentially drive expansion of CD8+ memory T cells. We wanted to further evaluate what changes were occurring in the CD4+ T cell population with disease progression in MM. We analyzed paired peripheral blood (PB) samples from patients with NDMM and RRMM, and compared with age-matched normal donors (ND). In the NDMM cohort, we examined T cells from PB samples at baseline, after 4 cycles of lenalidomide and dexamethasone (len/dex), and after ASCT; and in the RRMM cohort samples from baseline and after 6 cycles of len/dex. We firstly confirmed in flow cytometric analysis of T cells at serial intervals in NDMM patients that the reduction in circulating naïve T cells and in CD4:8 ratio occurs post ASCT and does not recover by time of last follow-up. We next utilised RNA-seq to analyse differences in CD4+ T cells from NDMM, RRMM and ND. CD4+ T cells from RRMM showed downregulation of cytosolic ribosomal activity but maintenance of mitochondrial ribosomal activity and significant upregulation of pathways involved with calcium signalling. To this end, we evaluated mitochondrial biogenesis and metabolic pathways involved with mitochondrial respiration. Flow cytometric analysis of mitochondrial mass showed a marked increase in RRMM compared with ND, in keeping with a shift towards memory phenotype. Key rate-limiting enzymes in fatty acid β-oxidation (CPT1-A, ACAA2 and ACADVL) were all significantly increased in RRMM compared with ND. To analyse whether these cells were metabolically active, we also measured mitochondrial membrane potential and reactive oxygen species (ROS), gating on cells with high mitochondrial mass. Mitochondrial membrane potential was significantly increased in RRMM compared with ND, although ROS was reduced. The significance of this is not clear, as ROS are not only implicated in cell senescence and activation-induced cell death, but are also positively involved in tyrosine kinase and PI3K-signalling pathways. PD-1 has been shown to play a role in transitioning activated CD4+ T cells from glycolysis to FAO metabolism, and elevating ROS in activated CD8+ T cells. We analysed PD-1 expression on T cells in RRMM and at treatment intervals in NDMM (as described earlier). The proportion of CD4+ and CD8+ T cells expressing PD-1 was increased 4-6 months post-ASCT and remained elevated in CD4+ T cells 9-12 months post-ASCT, but normalised to baseline levels in CD8+ T cells. Increased PD-1 expressing CD4+ T cells was also evident in RRMM patient samples. This may suggest that in the lymphopenic state, PD-1 expression enhances longevity in a subset of CD4+ T cells by promoting reliance on mitochondrial respiration; however, their ability to undergo homeostatic proliferation is impaired. In CD8+ T cells, high PD-1 expression may lead to cell death via ROS accumulation, and these cells do not persist. ASCT remains a backbone of myeloma treatment in medically fit patients. However, this leads to significant permanent defects in the T cell repertoire, which may have unintended adverse outcomes. Additionally, T cells post-ASCT may not be metabolically adequate for the production of CAR-T cells, nor respond to checkpoint blockade therapies. Disclosures Quach: Amgen: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Sanofi Genzyme: Research Funding; Janssen Cilag: Consultancy. Harrison:Janssen-Cilag: Other: Scientific advisory board. Prince:Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen Cilag: Honoraria, Membership on an entity's Board of Directors or advisory committees.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4399-4399
Author(s):  
Jared A Cohen ◽  
Francesca Maria Rossi ◽  
Riccardo Bomben ◽  
Lodovico Terzi-di-Bergamo ◽  
Pietro Bulian ◽  
...  

Abstract Introduction: Observation is the standard of care for asymptomatic early stage chronic lymphocytic leukemia (CLL) however these cases follow a heterogenous course. Recent studies show novel biomarkers can delineate indolent from aggressive early stage disease and current clinical trials are exploring the role of early intervention in high risk cases. Although several scoring systems have been established in CLL, most are designed for overall survival, do not circumscribe early stage disease, and require cumbersome calculations relying on extensive laboratory and clinical information. Aim: We propose a novel laboratory-based prognostic calculator to risk stratify time to first treatment (TTFT) in early stage CLL and guide candidate selection for early intervention. Methods: We included 1574 cases of early stage CLL in an international cohort from Italy, the United Kingdom and the United States using a training-validation model. Patient information was obtained from participating centers in accordance with the Declaration of Helsinki. The training cohort included 478 Rai 0 cases from a multicenter Italian cohort, all referred to a single center (Clinical and Experimental Onco-Hematology Unit of the Centro Riferimento Oncologico in Aviano, IT) for immunocytogenetic lab analyses. Considering TTFT as an endpoint, we evaluated 8 variables (age>65, WBC>32K, 17p-, 11q-, +12, IGHV status, CD49d+, gender) with univariate and multivariate Cox regression internally validated using bootstrapping procedures. FISH thresholds were 5% for 11q-, and +12 and 10% for 17p-. Cases were categorized according to the hierarchical model proposed by Dohner. IGHV status was considered unmutated at ≥98%. CD49d+ was set at >30%. WBC cutoff of >32K was established by maximally selected log rank analysis. Variables were weighted based on the proportion of their normalized hazard ratios rounded to the nearest whole integer. We used recursive partitioning for risk-category determination and Kaplan-Meier analysis to generate survival curves. We compared the concordance index (C-index) of our model with the CLL international prognostic index (CLL-IPI) for 381/478 cases in the training cohort with available beta-2-microglobulin data and for all validation cohorts. We used 3 independent single-center cohorts for external validation. Results: The training cohort had 478 cases of Rai 0 CLL with a median (95% CI) TTFT of 124 months (m) (104-183m). Five prognostic variables emerged with respect to TTFT, and each assigned a point value of 1 or 2 according to their respective normalized HR values as follows: 17p-, and UM IGHV (2 pts); 11q-, +12, and WBC>32K (1 pt). We identified three risk groups, based on point cut-offs of 0, 1-2, and 3-5 established by recursive partitioning analysis with a median (95% CI) TTFT of 216m (216-216m), 104m (93-140m) and 58m (44-68m) (p<0.0001, C-index 0.75) for the low, intermediate, and high-risk groups, respectively (figure 1). A comparison with the CLL-IPI was possible in 381 cases with available beta-2-microglobulin data. In this subset, the C-index was 0.75 compared to 0.68 when patient risk groups were split according to the CLL-IPI. The scoring system was then validated in 3 independent cohorts of early stage CLL: i) Gemelli Hospital in Rome, IT provided 144 Rai 0 cases. Median (95% CI) TTFT was 86m (80-94m, 95% CI). Median (95% CI) TTFT for the low, intermediate and high-risk groups was 239m (239-239m), 98m (92-132m) and 85m (60-109m) respectively (p=0.002 between low and intermediate groups, p=0.09 between intermediate and high groups; C-index 0.64 v 0.60 for CLL-IPI). ii) Cardiff University Hospital in Wales, UK provided 395 Binet A cases. Median (95% CI) TTFT was 74 m (67-81m) overall and NR, 111m (97-146m) and 70m (29-114m) for the low, intermediate and high-risk groups respectively (p<0.001 between low and intermediate groups, p=0.009 between intermediate and high groups; C-index 0.63 v 0.63 for CLL-IPI). iii) Mayo Clinic in Rochester, MN provided 557 Rai 0 cases. Median (95% CI) TTFT was 127m (96m-NR) overall and NR, 76m (64m-NR) and 36m (31-59m) for the low, intermediate and high-risk groups respectively (p<0.0001; C-index 0.72 v 0.68 for CLL-IPI). Conclusion: We present a novel laboratory-based scoring system for Rai 0/Binet A CLL to aid case selection in risk-adapted treatment for early disease. Further comparison to existing indices is needed to verify its utility in the clinical setting. Disclosures Zaja: Novartis: Honoraria, Research Funding; Takeda: Honoraria; Abbvie: Honoraria; Celgene: Honoraria, Research Funding; Amgen: Honoraria; Janssen: Honoraria; Sandoz: Honoraria. Fegan:Roche: Honoraria; Napp: Honoraria; Janssen: Honoraria; Gilead Sciences, Inc.: Honoraria; Abbvie: Honoraria. Pepper:Cardiff University: Patents & Royalties: Telomere measurement patents. Parikh:AstraZeneca: Honoraria, Research Funding; Janssen: Research Funding; MorphoSys: Research Funding; Abbvie: Honoraria, Research Funding; Gilead: Honoraria; Pharmacyclics: Honoraria, Research Funding. Kay:Janssen: Membership on an entity's Board of Directors or advisory committees; Acerta: Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Infinity Pharm: Membership on an entity's Board of Directors or advisory committees; Cytomx Therapeutics: Membership on an entity's Board of Directors or advisory committees; Tolero Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Morpho-sys: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees; Agios Pharm: Membership on an entity's Board of Directors or advisory committees.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 4248-4248 ◽  
Author(s):  
Uwe Platzbecker ◽  
David P. Steensma ◽  
Koen Van Eygen ◽  
Azra Raza ◽  
Valeria Santini ◽  
...  

Background: Current treatment options for red blood cell (RBC) transfusion-dependent (TD) patients with lower risk (LR) myelodysplastic syndromes (MDS) relapsed after or refractory to erythropoiesis-stimulating agents (ESAs) have limited efficacy and durability; new approaches are needed. Imetelstat is a 13-mer lipid-conjugated oligonucleotide that targets the RNA template of human telomerase and is a competitive inhibitor of telomerase enzymatic activity (Asai et al, Cancer Res 2003; Herbert et al, Oncogene 2005). Preclinical, in vivo xenograft models (Dikmen et al, Cancer Res 2005; Hochreiter et al, Clin Cancer Res 2006) and preliminary clinical data from a pilot study conducted at Mayo Clinic (Tefferi et al, Blood Cancer Journal 2016) supported initiation of a study in TD LR MDS patients. A Phase 2 study of imetelstat, IMerge, demonstrated an 8-week RBC transfusion independence (RBC-TI) rate of 42%, 24-week RBC-TI rate of 29%, and 68% erythroid hematologic improvement (HI-E) rate in 38 heavily TD patients (median prior RBC transfusion burden 8 units / 8 weeks over the 16 weeks pre-study period) with LR MDS. Responses were durable with median duration of 8-week RBC-TI of 85.9 weeks by Kaplan Meier estimates (range 8.0-140.9) (Steensma ASH 2018, Fenaux EHA 2019). These Phase 2 results provided further evidence of potential clinical benefit of imetelstat treatment in TD LR MDS, and supported initiation of a Phase 3 trial. Methods: IMerge is two-part, Phase 2/3 study (ClinicalTrials.gov: NCT02598661). The Phase 2 portion of the study described above is closed for enrollment. The Phase 3 portion of the study is open for enrollment of adult patients with International Prognostic Scoring System (IPSS) low or intermediate-1 risk, non-del(5q) MDS, who are TD, are relapsed after or refractory to ESAs, and have not received treatment with lenalidomide or hypomethylating agents. The study is a randomized (2:1) double-blind, placebo-controlled trial to compare efficacy of imetelstat vs. placebo that will enroll approximately 170 patients and will be conducted at approximately 90 centers in North America, Europe, Asia and Middle East. Imetelstat will be administered as 2-hour IV infusion every 4 weeks at 7.5 mg/kg. The primary endpoint of the study is to assess the rate of RBC-TI lasting ≥8 weeks. Secondary endpoints include safety, rate of RBC-TI ≥24 weeks, time to RBC-TI start, RBC-TI duration, rate of HI-E, the amount and relative change in RBC transfusions, rate of CR or PR, overall survival, progression of MDS, pharmacokinetics and effect of treatment on quality of life. Biomarkers relevant to the mechanism of action of imetelstat will be assessed to demonstrate target inhibition and their association with clinical responses. Cytogenetics and mutation analyses will be performed to evaluate the impact of imetelstat on reduction/depletion of malignant clones leading to disease modification. Disclosures Platzbecker: Novartis: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Abbvie: Consultancy, Honoraria. Steensma:Astex: Consultancy; Arrowhead: Equity Ownership; Summer Road: Consultancy; Onconova: Consultancy; Aprea: Research Funding; Pfizer: Consultancy; Stemline: Consultancy; H3 Biosciences: Other: Research funding to institution, not investigator.. Santini:Celgene Corporation: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Johnson & Johnson: Honoraria; Acceleron: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Menarini: Membership on an entity's Board of Directors or advisory committees. Germing:Novartis: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Jazz Pharmaceuticals: Honoraria; Amgen: Honoraria. Font:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pfizer: Membership on an entity's Board of Directors or advisory committees. Díez-Campelo:Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene Corporation: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Patnaik:Stem Line Pharmaceuticals.: Membership on an entity's Board of Directors or advisory committees. Sherman:Geron Corporation: Employment, Equity Ownership. Dougherty:Geron Corporation: Employment, Equity Ownership. Feller:Geron Corporation: Employment. Sun:Geron Corporation: Employment, Equity Ownership. Wan:Geron Corporation: Employment, Equity Ownership. Huang:Geron Corporation: Employment, Equity Ownership. Rizo:Geron Corporation: Employment, Equity Ownership. Fenaux:Celgene Corporation: Honoraria, Research Funding; Aprea: Research Funding; Astex: Honoraria, Research Funding; Jazz: Honoraria, Research Funding.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 1705-1705
Author(s):  
David Sallman ◽  
Guillermo Garcia-Manero ◽  
Elias Jabbour ◽  
Mikkael A. Sekeres ◽  
Amy E. DeZern ◽  
...  

Abstract Background In myelodysplastic syndromes (MDS), abnormalities of chromosome 3 (i.e. inversion 3 (inv(3)), translocation 3q (t(3q)), or deletion 3q (del(3q)) represent a poor-risk karyotype in the Revised International Prognostic Scoring System (IPSS-R). In acute myeloid leukemia (AML) patients with 3q abnormalities, patients with inv(3)/t3;3 represented the most unfavorable group with a median overall survival (OS) of 10.3 months (Lugthart et al., 2010). We previously presented a single institution experience regarding outcomes of MDS patients with chromosome 3 abnormalities. Here, we sought to further define outcomes of chromosome 3 abnormalities in MDS and address the impact of hypomethylating agents (HMA) on outcome in multiple institutions. Patients and Methods Patients were identified through the MDS Clinical Research Consortium and were included if they had a WHO diagnosis of MDS, MDS/myeloproliferative neoplasm (MPN), therapy related MDS (t-MDS), or AML (20-30% myeloblasts) and had any karyotypic abnormality involving chromosome 3. Data analyzed included baseline demographics, disease characteristics, IPSS/IPSS-R scores, treatment and outcome. Responses to HMA therapy were evaluated using International Working Group (IWG) 2006 criteria. Kaplan-Meier estimates were used for overall survival. Results A total of 413 patients were identified with a median age at diagnosis of 67 years. WHO classification was as follows: 9% RA/RARS, 12% RCMD, 26% RAEB-1, 31% RAEB-2, 2% MDS/MPN, 7% MDS Unclassified, 13% AML; 34% had t-MDS. Overall, 97% of patients were higher risk by IPSS-R (i.e., intermediate to very high risk) with a median blast % in bone marrow of 8%. Distribution of cytogenetic abnormalities were inv(3) (10%), del(3q) (12%), t(3q) (18%), monosomy 3 (22%), 3p abnormalities (22%), and other chromosome 3 changes (17%). Median OS for the cohort was 12.0 months (95% C.I. 10.8 to 13.9 months) and 31% of patients without AML transformed to AML. IPSS-R was predictive of median OS across subgroups (P < 0.00001). The specific cytogenetic abnormality was predictive for survival (P < 0.00001) with median OS for t(3q) 19 months, inv(3) 13 months, del(3q) 13 months, 3p 10 months, monosomy 3 9 months, and other 3 abnormalities 11 months. There was no survival difference between patients with translocations of 3q21 versus 3q26 (median OS 18 months versus 18.6 months, P = 0.96). Patients with an isolated chromosome 3 abnormality had significantly improved OS (25.1 months versus 10.9 months (P < 0.00001). Complex karyotype (>/= 3 abnormalities) was observed in 74% of patients and was associated with decreased OS (11 months versus 21 months, P < 0.00001). Of patients who received HMA therapy (48%), the overall response rate was 46% (17% hematological improvement (HI), 7% PR, 20% CR, 2% marrow CR (CRm) with stable disease in 23%). Median OS with and without HMA was 15.5 months versus 8.4 months (p=0.038). In int-2/high risk patients by IPSS, HMA treated patient had a median OS of 14.0 months versus 7.6 months for patients not treated with HMAs (P = 0.005) with no benefit for HMAs in lower-risk patients (median OS 24.5 months with HMA versus 38.7 months without; P =0.41). Cox regression modeling with HMA therapy, IPSS and clinical site confirmed the HMA OS benefit in higher-risk patients (HR 0.69; 95% CI 0.53-0.89; P = 0.005), but showed decreased OS in lower-risk patients (HR 2.0; 95% CI 1.03-3.92; P = 0.04). Allogeneic transplantation was performed in 18% (n=75) of patients, with median OS of 18 months versus 10 months in non-transplanted patients (P < 0.00001). Conclusion In this large cohort of patients with MDS and oligoblastic AML associated with chromosome 3 abnormalities, survival was heterogeneous but overall poor, with isolated chromosome 3 abnormality and t(3q) patients having a more favorable OS than patients with other chromosome 3 anomalies. MDS patients with 3p changes have poor outcomes. Although some patients with chromosome 3 respond to HMA therapy, the overall survival remains poor and novel approaches are needed. Disclosures Sekeres: Amgen: Membership on an entity's Board of Directors or advisory committees; TetraLogic: Membership on an entity's Board of Directors or advisory committees; Celgene Corporation: Membership on an entity's Board of Directors or advisory committees. Steensma:Amgen: Consultancy; Celgene: Consultancy; Incyte: Consultancy; Onconova: Consultancy. Lancet:Boehringer-Ingelheim: Consultancy; Kalo-Bios: Consultancy; Pfizer: Consultancy; Seattle Genetics: Consultancy; Celgene: Consultancy, Research Funding; Amgen: Consultancy. List:Celgene Corporation: Honoraria, Research Funding. Komrokji:Incyte: Consultancy; Celgene: Consultancy, Research Funding; Novartis: Research Funding, Speakers Bureau; Pharmacylics: Speakers Bureau.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 4635-4635
Author(s):  
Vera Adema ◽  
Laura Palomo ◽  
María Díez-Campelo ◽  
Mar Mallo ◽  
Leonor Arenillas ◽  
...  

Abstract INTRODUCTION Myelodysplastic syndromes (MDS) are a heterogeneous group of clonal myeloid stem cell disorders that are highly prevalent in elderly populations. MDS are characterized by inefficient hematopoiesis, peripheral blood (PB) cytopenias, and increased risk of transformation to acute myeloid leukemia (AML; 20–30% of patients with MDS). Around 50% of MDS patients carry at least one karyotypic aberration. The interstitial deletion of the long arm of chromosome 5 ([del(5q)] is the most common aberration, accounting for almost 30% of abnormal MDS karyotype. Various studies supports a favorable prognosis of MDS with isolated del(5q) with an excellent response to lenalidomide treatment. In order to describe the molecular events associated with MDS and del(5q) we performed whole-exome sequencing (WES)(assessing 334,378 exons) of tumor-normal paired samples from 20 MDS patients to unravel the genetic basis of MDS with del(5q). The analysis is ongoing and the complete results will be presented in the meeting. METHODS A total of 50 samples from 20 patients with MDS, with del(5q) were collected. For each diagnostic sample, we performed Conventional G-banding cytogenetics and fluorescence in situ hybridization (FISH, to confirm or dismiss del(5q)) and SNP arrays with Cytoscan HD (Affymetrix). These samples included: 20 tumor samples at diagnosis, 20 control samples and 10 samples after diagnosis, during lenalidomide treatment (5) or at the moment of relapse (5) in order to compare the genetic status before and during the treatment. Genomic DNA from tumor cells was obtained from bone marrow (BM) samples or from PB granulocytes. As a source of constitutional DNA we used CD3+T cells from each patient by isolating by magnetic-activated cell sorting. WES targeted capture was carried out on 7μg of genomic DNA, using the SureSelect Human Exome Kit 51Mb version 4.Libraries were sequenced on an Illumina HiSeq2000. Sequencing data will be analyzed using an in-house bioinformatics pipeline as previously reported. RESULTS Our preliminary analysis of these 20 new patients by WES confirmed our previous analyses with mutations in well described genes as ASXL1, JAK2 and TET2, but not in genes RUNX1, SF3B1 and SRSF2. In those patients we found two patients with missense mutation in TP53, one of the patients had an isolated del(5q) and is receiving lenalidomide treatment, and the other one had a complex karyotype. According to our prior analyses, in which 249 non-silent somatic variants were detected, we look forward to validate these mutations in this new series of patients. CONCLUSIONS We envision to validate these previous results with the new sequencing data of more patients with MDS and del(5q). We expect to measure somatic mutations that vary in abundance after lenalidomide treatment, potentially identifying mutations associated with resistance or relapse. ACKNOWLEDGEMENTS: This work has been supported (in part) by a grants from Instituto de Salud Carlos III, Ministerio de Sanidad y Consumo, Spain (PI 11/02010); by Red Temática de Investigación Cooperativa en Cáncer (RTICC, FEDER) (RD07/0020/2004; RD12/0036/0044); 2014 SGR225 (GRE) Generalitat de Catalunya; Fundació Internacional Josep Carreras; Obra Social “la Caixa”; Sociedad Española de Hematología y Hemoterapia (SEHH)and Celgene Spain. FOOTNOTES Rafael Bejar and Francesc Sole contributed equally. Disclosures Díez-Campelo: Novartis, Celgene: Honoraria, Research Funding. Xicoy:Celgene: Honoraria. Cañizo:Celgene, Jansen-Cilag, Arry, Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. sanchez-Garcia:Celgene: Honoraria, Research Funding. Bejar:Celgene: Membership on an entity's Board of Directors or advisory committees; Genoptix Medical Laboratory: Consultancy, Honoraria, Licensed IP, no royalties Patents & Royalties, Membership on an entity's Board of Directors or advisory committees. Sole:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 29-29
Author(s):  
Luca Malcovati ◽  
Simon Crouch ◽  
Aniek O. De Graaf ◽  
Sarah Sandmann ◽  
Magnus Tobiasson ◽  
...  

Background. The severity of hematopoietic impairment and the kinetics of disease progression in lower risk myelodysplastic syndromes (LR-MDS) are extremely variable. Genomic profiling has the potential to inform the clinical management of these disorders, including improved classification, risk assessment and therapeutic choice. In the present study, based on a comprehensive mutation analysis in a large and clinically well-characterized cohort of LR-MDS patients, either recruited into the European MDS Registry or referred to European excellence centers involved in the MDS-RIGHT project, we adopted unsupervised hierarchical clustering analyses to identify relevant genetically defined disease subtypes within early stage MDS. Methods. The dataset comprised 856 cases identified as LR-MDS based on IPSS risk low or intermediate-1. Median age was 73 years (range 36-98); IPSS-R risk was very low in 30.1% of patients, low in 50.4%, intermediate in 19.5%. We investigated possible sub-structure amongst patients according to their mutational profiles, and correlated this sub-structure with relevant endpoints. For this analysis, unsupervised clustering was used, based on a mixture model of multivariate Bernoulli distributions. The optimal number of clusters was chosen using the Bayes Information Criterion (BIC), with secondary structure identified with the Akaike Information Criterion (AIC). Results. This analysis identified three distinct clusters within LR-MDS. Cluster 1 comprised exclusively patients with SF3B1 mutation, either isolated or associated with other mutations (SF3B1-mutant cluster) (37% of patients). Cluster 2 was characterized by excess mutations associated with higher risk disease (high-risk (HR) cluster) (27% of patients), including a significantly higher prevalence of ASXL1, IDH1/IDH2, SRSF2, RUNX1, CBL and EZH2 mutations (P&lt;.001). This cluster also showed a significantly higher number of mutations per patient compared to other groups (P&lt;.001), suggesting a subtending clonal progression resulting in the accumulation of sub-clonal mutations. Finally, cluster 3 was characterized by mutation profiles as observed in Clonal Hematopoiesis of Indeterminate Potential (CHIP) (CHIP-like cluster) (36% of patients), mainly including isolated DNMT3A, TET2 or ASXL1 mutations, pointing toward the contribution of extra-clonal factors to disease expressivity. In addition, this cluster showed enrichment in TP53 mutations, as recently reported in community-dwelling elderly individuals with unexplained anemia (Blood 2020;135:1161-70). The three recognized clusters showed distinct clinical features and outcome measures. Patients within HR cluster were significantly older (P=.008) and showed significant enrichment in WHO categories with multi-lineage dysplasia and excess blasts (P&lt;.001) and IPSS-R intermediate risk scores (P&lt;.001), as well as significantly lower platelet count (P=.001). Conversely, patients within the CHIP-like cluster showed significantly higher hemoglobin values compared with the other two clusters (P=.001). As expected, the SF3B1-mutant cluster was significantly enriched for MDS with ring sideroblasts (MDS-RS) and showed significantly lower hemoglobin values (P=.001) and increased values of serum ferritin and transferrin saturation compared to other clusters (P=.001 and P=.002, respectively). HR-cluster showed significantly lower overall survival (OS) compared to CHIP-like and SF3B1-mutant clusters (median 2.6 vs 6.8 or 6.4 years; P&lt;.001), and higher risk of progression into higher-risk MDS or acute myeloid leukemia (AML) (median 4.2 vs 12.7 years or not reached; P&lt;.001). No significant difference in either OS or risk of disease progression was noticed between SF3B1-mutant and CHIP-like clusters. However, a significantly shorter time-to-treatment with erythropoiesis stimulating agents was noticed in the SF3B1-mutant cluster (P=.007), suggesting a more rapid erythropoietic impairment that did not translate into a worse outcome. Conclusion. Mutation profiling identifies meaningful clusters of lower risk MDS with distinct molecular pathways, clinical features and endpoints. These results represent a robust basis to inform genetic ontogeny-based classification and individual risk assessment, as well as to inspire biology-driven clinical trials in lower risk MDS. Disclosures Symeonidis: Bristol-Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck Sharp & Dohme: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi/Genzyme: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; WinMedica: Research Funding; Celgene: Honoraria, Research Funding; Astellas: Research Funding; Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; GenesisPharma: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Stauder:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Teva: Research Funding. Fenaux:Novartis: Honoraria, Research Funding; Abbvie: Honoraria, Research Funding; Jazz: Honoraria, Research Funding; BMS: Honoraria, Research Funding. Van Marrewijk:EUMDS and MDS-RIGHT (Providing the right care to the right patient with MyeloDysplastic Syndrome at the right time) project: Other: Project manager of the EUMDS Registry.


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