Prognostic Impact of Bone Marrow Fibrosis in Primary Myelofibrosis: A Study of Agimm Group on 540 Patients

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 351-351 ◽  
Author(s):  
Paola Guglielmelli ◽  
Giada Rotunno ◽  
Annalisa Pacilli ◽  
Elisa Rumi ◽  
Vittorio Rosti ◽  
...  

Abstract Background. The prognostic significance of bone marrow (BM) fibrosis grade in pts with primary myelofibrosis (PMF) is debated. A fibrosis grade greater than 1 was associated with a 2-fold higher risk of death compared with pts with early/prefibrotic MF (grade 0) [Thiele J, Ann Hematol 2006]. Recent data suggest that more accurate prediction of survival is achieved when fibrosis grade is added to IPSS [Verner C, Blood 2008; Giannelli U, Mod Pathol 2012]. Aim. To analyze the prognostic impact of fibrosis in diagnostic BM samples of 540 WHO-2008 diagnosed PMF pts with extensive clinical and molecular information collected in 6 Italian centers belonging to AGIMM (AIRC-Gruppo Italiano Malattie Mieloproliferative). Methods. The clinical variables assessed were those previously identified as prognostically relevant in the IPSS score. Published methods were used to screen mutations of JAK2, MPL, CALR, EZH2, ASXL1, IDH1/2 and SRSF2. European consensus scoring system was used to grade fibrosis (on a scale of MF-0 to MF-3). The prognostic value of fibrosis with regard to overall survival (OS) was estimated by Kaplan-Meier method and Cox regression. Results. Pts' median age was 61y; median follow-up 3.7y; median OS 10.5y; 184 pts (34.1%) died. IPSS risk category: low 33.7%, Int-1 27.7%, Int-2 19.1%, High-risk 19.5%. Mutational rate: JAK2 V617F 62.6%, CALR 20.7% (type-1/1-like 77.7%, type2/2-like-2 21.4%), MPL W515 5.9%; 62 (11.5%) were triple negative (TN). 171 pts (31.7%) were High-Molecular Risk (HMR) category (Vannucchi AM, Leukemia 2013); mutation rate: EZH2 7.2%, ASXL1 22.2%, IDH1-2 2.4%, SRSF2 8.3%. According to fibrosis grading, 50 pts were MF-0 (9.3%), 180 MF-1 (33.3%), 196 MF-2 (36.3%), 114 MF-3 (21.1%). Compared with both MF-0 and MF-1, MF-2 and MF-3 pts presented more frequently constitutional symptoms (P<.0001), larger splenomegaly (P<.0001), greater risk of developing anemia (P<.0001) or thrombocytopenia (P=.003). We found a significant association (P<.0001) between IPSS higher/Int-2 risk categories and MF-2 and -3 (20.5% and 37.8%, respectively, vs 14.8% and 6.0% for MF-0 and -1). There was no correlation between fibrosis grade and phenotypic driver mutations; in particular, TN pts were equally distributed among MF fibrosis grades (10%, 10.6%, 14.3% and 8.8% from MF-0 to -3, respectively). Conversely, the frequency of HMR pts increased progressively according to fibrosis grade: 8 pts MF-0 (16%), 46 MF-1 (25.6%), 66 MF-2 (33.7%) and 51 MF-3 (44.7%) (P<.0001). In particular, we found a significant association between fibrosis grade and ASXL1 (12%, 15%, 23.5% and 36% from MF-0 to -3; P<.0001) and EZH2 (2%, 3.9%, 8.2%, 13.2%; P=.01) mutations. Also, pts with 2 or more HMR mutated genes were preferentially MF-2 or -3 ( 0%, 4.4% 10.2% and 10.5% from MF-0 to -3; P=.001). Median OS was significantly shorter in pts with MF-2 (OS 6.7y, HR 7.3, IC95% 2.7-20.0; P<.0001) and MF-3 (OS 7.2y, HR 8.7, IC95% 3.1-24.2; P<.0001) compared with MF-1 (14.7y; HR 3.9, IC95% 1.4-10.9, P=.008) and MF-0 (P<.0001) used as reference group (OS not reached) (Figure). Excluding MF-0, MF-2 and -3 maintained negative prognostic impact with HR 1.9 (1.3-2.6; P=.001) and 2.2 (1.5-3.3; P<.0001) respectively vs MF-1. The impact of fibrosis on OS was maintained when analysis was restricted to younger (≤65y) pts. In multivariate analysis using the individual IPSS variables, grade MF-2 and -3 were independently predictive of survival (HR 3.9 (1.4-10.8), and HR 4.2 (1.5-12.0), respectively, P=.008 for both). The negative impact on survival of MF-2/-3 was maintained regardless of IPSS category, HMR status, number of HMR mutated genes and driver mutations, included as covariates (Table). In low, Int-1 and Int-2, but not high-risk IPSS categories, MF-2/-3 associated with reduced survival (P<.03). Conclusions. Overall, these results indicate that higher grades (MF-2 and MF-3) of fibrosis correlate with defined clinical and molecular variables and independently negatively impact on OS in PMF, suggesting the opportunity to explore its value in the setting of clinical and molecular prognostic scores for PMF. Table. Multivariate Analysis Variables HR 95% CI P value HMR status 2.4 1.5-3.7 <.0001 HMR≥2mutations 4.3 2.8-6.4 .009 IPSS scoring Int1 2.9 1.6-5.1 <.0001 Int2 10.0 5.6-17.7 <.0001 High 9.7 5.5-17.2 <.0001 Driver mutations CALR type2 3.4 1.3-8.6 .010 JAK2/MPL 2.4 1.4-4.3 .003 TN 4.5 2.3-8.8 <.0001 Fibrosis MF-2/MF-3 3.8 1.4-10.6 .010 Figure 1. Figure 1. Disclosures Passamonti: Novartis: Consultancy, Honoraria, Speakers Bureau. Barbui:Novartis: Speakers Bureau. Vannucchi:Shire: Speakers Bureau; Novartis: Other: Research Funding paid to institution (University of Florence), Research Funding; Baxalta: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau.

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 804-804 ◽  
Author(s):  
Mark Bustoros ◽  
Chia-jen Liu ◽  
Kaitlen Reyes ◽  
Kalvis Hornburg ◽  
Kathleen Guimond ◽  
...  

Abstract Background. This study aimed to determine the progression-free survival and response rate using early therapeutic intervention in patients with high-risk smoldering multiple myeloma (SMM) using the combination of ixazomib, lenalidomide, and dexamethasone. Methods. Patients enrolled on study met eligibility for high-risk SMM based on the newly defined criteria proposed by Rajkumar et al., Blood 2014. The treatment plan was designed to be administered on an outpatient basis where patients receive 9 cycles of induction therapy of ixazomib (4mg) at days 1, 8, and 15, in combination with lenalidomide (25mg) at days 1-21 and Dexamethasone at days 1, 8, 15, and 22. This induction phase is followed by ixazomib (4mg) and lenalidomide (15mg) maintenance for another 15 cycles. A treatment cycle is defined as 28 consecutive days, and therapy is administered for a total of 24 cycles total. Bone marrow samples from all patients were obtained before starting therapy for baseline assessment, whole exome sequencing (WES), and RNA sequencing of plasma and bone marrow microenvironment cells. Moreover, blood samples were obtained at screening and before each cycle to isolate cell-free DNA (cfDNA) and circulating tumor cells (CTCs). Stem cell collection is planned for all eligible patients. Results. In total, 26 of the planned 56 patients were enrolled in this study from February 2017 to April 2018. The median age of the patients enrolled was 63 years (range, 41 to 73) with 12 males (46.2%). Interphase fluorescence in situ hybridization (iFISH) was successful in 18 patients. High-risk cytogenetics (defined as the presence of t(4;14), 17p deletion, and 1q gain) were found in 11 patients (61.1%). The median number of cycles completed was 8 cycles (3-15). The most common toxicities were fatigue (69.6%), followed by rash (56.5%), and neutropenia (56.5%). The most common grade 3 adverse events were hypophosphatemia (13%), leukopenia (13%), and neutropenia (8.7%). One patient had grade 4 neutropenia during treatment. Additionally, grade 4 hyperglycemia occurred in another patient. As of this abstract date, the overall response rate (partial response or better) in participants who had at least 3 cycles of treatment was 89% (23/26), with 5 Complete Responses (CR, 19.2%), 9 very good partial responses (VGPR, 34.6%), 9 partial responses (34.6%), and 3 Minimal Responses (MR, 11.5%). None of the patients have shown progression to overt MM to date. Correlative studies including WES of plasma cells and single-cell RNA sequencing of the bone microenvironment cells are ongoing to identify the genomic and transcriptomic predictors for the differential response to therapy as well as for disease evolution. Furthermore, we are analyzing the cfDNA and CTCs of the patients at different time points to investigate their use in monitoring minimal residual disease and disease progression. Conclusion. The combination of ixazomib, lenalidomide, and dexamethasone is an effective and well-tolerated intervention in high-risk smoldering myeloma. The high response rate, convenient schedule with minimal toxicity observed to date are promising in this patient population at high risk of progression to symptomatic disease. Further studies and longer follow up for disease progression are warranted. Disclosures Bustoros: Dava Oncology: Honoraria. Munshi:OncoPep: Other: Board of director. Anderson:C4 Therapeutics: Equity Ownership; Celgene: Consultancy; Bristol Myers Squibb: Consultancy; Takeda Millennium: Consultancy; Gilead: Membership on an entity's Board of Directors or advisory committees; Oncopep: Equity Ownership. Richardson:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees; BMS: Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding. Ghobrial:Celgene: Consultancy; Takeda: Consultancy; Janssen: Consultancy; BMS: Consultancy.


Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 4024-4024
Author(s):  
Michael Lubbert ◽  
Stefan Suciu ◽  
Uwe Platzbecker ◽  
Aristoteles A.N. Giagounidis ◽  
Dominik Selleslag ◽  
...  

Abstract Abstract 4024 Background: The hypomethylating agents 5-azacytidine (Vidaza) and 5-aza-2′-deoxycytidine (Decitabine, DAC) are active in different MDS subtypes. Compared to other response predictors to DAC, prior MDS duration has received only limited attention (1, 2), with conflicting results. Based on our finding that long duration of MDS prior to DAC treatment may be a novel factor linked to a better outcome (1), we now assess its value in the phase III trial 06011 (DAC versus BSC [3]). Immediate enrolment after diagnosis was allowed in that trial, median MDS duration prior to randomization thus only 3 months (mths). Methods: Comparison of progression-free (PFS), AML-free (AMLFS) and overall survival (OS) according to MDS duration >= vs. <3 mths in 233 patients (pts) with higher-risk MDS (median age 70 years) randomized to DAC (n=119) or BSC (n=114). Comparisons by long-rank test and multivariate analyses by Cox regression (Performance Status [PS], cytogenetics and IPSS high risk N/Y) were performed retrospectively: MDS duration had not yet been known as possible stratification factor at time of study initiation, and the trial thus not been powered to detect significant differences with regard to this discriminator. Results: A better prognosis of patients with MDS duration >=3 vs <3 mths was observed in DAC arm (B vs A) and BSC arm (D vs C). Conversely, DAC yielded better results than BSC in each MDS duration group: <3 mths (A vs C) and >=3 mths (B vs D). In both arms (n=233), Mult. indicated that MDS duration (>=3 vs <3 mths) adjusted for treatment, PS, cytogenetics and IPSS group was an independent prognostic factor regarding PFS (HR=0.75, 95%CI 0.58–0.99), AMLFS (HR=0.68, 95%CI 0.51–0.90), and OS (HR=0.75, 95%CI 0.56–0.99). The tests for interaction treatment × duration of MDS were not significant for 3 endpoints: PFS (p=0.38), AMLFS (p=0.90), OS (p=0.67). Conclusion: In intermediate-2 and high-risk MDS pts, long duration from MDS diagnosis to start of DAC or BSC appeared to be associated with a better outcome. This finding is in sharp contrast to the adverse prognostic impact of antecedent disease duration in patients who received intensive chemotherapy (4). It is supported by a similar analysis of pts with AML from MDS treated on the 00331 DAC phase II multicenter trial: those with longer MDS duration prior to DAC also had better outcome (5). Application of this discriminator in the evaluation also of other DAC schedules and MDS treatments therefore appears warranted. References: 1. Wijermans et al., Ann. Hematol. 84 (suppl. 1): 9–14, 2005 2. Kantarjian et al., Cancer 109:265-73, 2007 3. Wijermans et al., Blood 112 (suppl. 1): abs. 226, 2008 4. Estey et al., Blood 90:2969-77, 1997 5. Lübbert, Schmoor et al., abstract submitted, ASH 2010 Disclosures: Platzbecker: Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Salih:Pfizer: Research Funding. Muus:Celgene: Membership on an entity's Board of Directors or advisory committees; Alexion: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees.


Blood ◽  
2011 ◽  
Vol 118 (21) ◽  
pp. 782-782
Author(s):  
Alice Fabarius ◽  
Armin Leitner ◽  
Andreas Hochhaus ◽  
Martin C Müller ◽  
Claudia Haferlach ◽  
...  

Abstract Abstract 782 Introduction: Current evidence indicates that acquired genetic instability in chronic myeloid leukemia (CML) as a consequence of the t(9;22)(q34;q11) and the resulting BCR-ABL fusion causes the continuous acquisition of additional chromosomal aberrations (ACA) and mutations and thereby progression to accelerated phase and blast crisis (BC). Around 10 –12% of patients in chronic phase (CP) CML have ACA already at diagnosis. During the course of the disease this number rises to 80% in BC. Acquisition of ACA during treatment is considered as a poor prognostic indicator, whereas the impact of ACA at diagnosis is controversial. Patients and methods: Clinical and cytogenetic data of 1151 out of 1311 patients with Philadelphia and BCR-ABL positive CP CML randomized until 2009 to the German CML-Study IV were investigated in a prospective study. There were 459 females (40%) and 692 males (60%). Median age was 53 years (range, 16–88). All patients were treated with imatinib alone or in combination with interferon alpha or araC. The impact of ACA at diagnosis on time to complete cytogenetic and major molecular remission (CCR, MMR) and progression-free and overall survival (PFS, OS) was investigated. Written informed consent was obtained from all patients prior to entering the study. Results: At diagnosis 1003/1151 patients (87%) had the standard t(9;22)(q34;q11) only and 69 patients (6.0%) had a variant t(v;22). In 60 of 69 patients with t(v;22), only one further chromosome was involved in the translocation, in 7 patients two, and in 2 patients three further chromosomes were involved. Seventy-nine patients (6.9%) had ACA. Of these, 38 patients (3.3%) lacked the Y chromosome (-Y) and 41 patients (3.6%) had ACA except -Y. Sixteen of the 41 patients had major-route ACA (+8, i(17)(q10), +der(22)t(9;22)(q34;q11), ider(22)(q10)t(9;22)(q34;q11)) and 25 minor-route ACA [e.g. t(3;12), t(4;6), t(2;16), t(1;21)]. In patients with major-route ACA, trisomy 8 was the most frequent additional alteration (n=9). +der(22)t(9;22)(q34;q11) was observed in six patients, isochromosome (17)(q10) in five patients and ider(22)(q10)t(9;22)(q34;11) in three patients. After a median observation time of 5.3 years for patients with t(9;22), t(v;22), -Y, minor- and major-route ACA median times to CCR were 1.01, 0.95, 0.98, 1.49 and 1.51 years, to MMR 1.40, 1.58, 1.65, 2.49 and > 7 years, 5-year PFS 90%, 81%, 88%, 96% and 50% and 5-year OS 92%, 87%, 91%, 96% and 53%, respectively. In patients with major-route ACA times to CCR and MMR were longer. PFS and OS were shorter (p<0.001) than with standard t(9;22)(q34;q11). Loss of Y chromosome had no influence on time to CCR or MMR, PFS and OS. Conclusion: We conclude that the prognostic impact of additional cytogenetic findings at diagnosis of CML is heterogeneous and consideration of their types may be important. Major-route ACA identify a small group of patients with significantly poorer prognosis as compared to all other patients requiring early and more intensive intervention such as stem cell transplantation. Disclosures: Hochhaus: Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Consultancy, 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; Ariad: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Haferlach:MLL Munich Leukemia Laboratory: Employment, Equity Ownership. Kneba:Hoffmann La Roche: Honoraria.


Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 2823-2823 ◽  
Author(s):  
Catriona HM Jamieson ◽  
Robert P Hasserjian ◽  
Jason Gotlib ◽  
Jorge E. Cortes ◽  
Richard M. Stone ◽  
...  

Abstract Introduction Fedratinib, a JAK2-selective inhibitor, demonstrated clinical benefit through a reduction in splenomegaly and symptoms in patients with myelofibrosis (MF), including post-polycythemia vera MF (post-PV MF), post-essential thrombocythemia MF (post-ET MF) and primary MF (PMF), in Phase I and II studies (J Clin Oncol 2011;29:789; Haematologica 2013;98:S1113). Bone marrow fibrosis (BMF) has been associated with splenomegaly and cytopenias (Ann Hematol 2006;85:226). Hence, stabilization and/or reversal of BMF remain important therapeutic goals. This report represents an exploratory analysis of sequential BMF data from patients with MF in an open-label Phase I/II study to evaluate the long-term effects of orally administered fedratinib (TED12015; NCT00724334). Methods Patients with intermediate or high-risk MF (Mayo Prognostic Scoring System) received fedratinib therapy in consecutive cycles (1 cycle = 28 days) as long as they derived clinical benefit. Bone marrow trephine biopsies were performed at baseline and after every 6 cycles. Hematoxylin and eosin, reticulin, and Masson's trichrome staining of core biopsy slides were used to grade BMF on a scale from 0 to 3 using the 2008 WHO MF grading criteria. BMF was graded independently in a blinded fashion by 3 hematopathologists. BMF grades were established as long as at least 2 of the 3 pathologists agreed independently. Changes in BMF grade from baseline were categorized as improvement (≥1 grade reduction), stabilization (no change), or worsening (≥1 grade increase). Results Of the 43 patients enrolled in the TED12015 study, the median fedratinib dose received was 473 (range 144–683) mg/day and median treatment duration was 32.3 (range 7–61) cycles. Bone marrow biopsies at baseline and at least one other time point were available for 21/43 (49%) patients, whose baseline characteristics were: median age 61 years (range 43–85); 57% male; 38% high-risk MF by WHO 2008 criteria (Leukemia 2008; 22:14); and 90% JAK2V617F positive. A consensus grade was achieved for 96% of the samples. At baseline, 2, 10, and 9 patients had grade 1, 2, and 3 BMF, respectively. Changes in BMF grade from baseline are shown in the figure. BMF improvement with 1 grade reduction was observed in 8/18 (44%) patients at Cycle 6. By Cycle 30, 4/9 (44%) evaluable patients had BMF improvement, including 2 patients with improvement by 2 grades and 2 patients with improvement by 1 grade. Of patients with Grade 3 BMF at baseline, 6/9 (67%) exhibited 1 grade improvement at Cycle 6. Two patients had 2 grades of BMF reduction from baseline during treatment (grade 3 to 1, and grade 2 to 0, both at Cycle 12), and the latter achieved a complete clinical remission at Cycle 30 assessed by IWG-MRT response criteria. The two patients who experienced complete reversal of BMF to grade 0 (one from grade 2 and one from grade 1) had normalization of not only hemoglobin level but also white blood cell and platelet counts at Cycle 18. Conclusions These exploratory analyses suggest that a proportion of patients treated long-term with fedratinib demonstrate stable or improved BMF. The disease modifying impact of fedratinib on BMF changes will be further assessed in a randomized, placebo-controlled Phase III clinical trial (JAKARTA; NCT01437787). This study was sponsored by Sanofi. Disclosures: Jamieson: J&J, Roche: Research Funding; Sanofi: Membership on an entity’s Board of Directors or advisory committees. Hasserjian:Sanofi, Inc: Consultancy. Gotlib:Sanofi: Travel to EHA 2012, Travel to EHA 2012 Other; Sanofi: Membership on an entity’s Board of Directors or advisory committees; Sanofi: Research Funding. Cortes:Incyte, Sanofi: Consultancy; Incyte, Sanofi: Research Funding. Talpaz:Novartis, Bristol-Myers Squibb, Ariad, Deciphera: Research Funding; Novartis, Bristol-Myers Squibb, Ariad, Deciphera: Speakers Bureau. Thiele:AOP Orphan Pharmaceuticals, Incyte, Novartis, Shire, Sanofi: Consultancy; Novartis, Shire: Research Funding; AOP Orphan Pharmaceuticals, Incyte, Novartis, Shire, Sanofi: Honoraria. Rodig:Ventana/Roche Inc.: Research Funding; Daiichi-Sankyo/Arqule Inc., Ventana/Roche Inc., Shape Pharmaceuticals Inc.: Consultancy. Patki:Sanofi: Employment. Wu:Sanofi: Employment. Wu:Sanofi: Employment. Pozdnyakova:Sanofi: Honoraria; Sanofi: Consultancy.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 711-711 ◽  
Author(s):  
Jean-Jacques Kiladjian ◽  
Florian H Heidel ◽  
Alessandro M. Vannucchi ◽  
Vincent Ribrag ◽  
Francesco Passamonti ◽  
...  

Abstract Background: Myelofibrosis (MF) is a clonal neoplastic disease resulting in bone marrow fibrosis, splenomegaly, and debilitating constitutional symptoms. The Janus kinase (JAK) pathway is often dysregulated in MF, and agents targeting this pathway have demonstrated efficacy in this disease. Ruxolitinib (RUX), a potent JAK1/JAK2 inhibitor, demonstrated superiority in spleen volume reduction, symptom improvement, and survival compared with the control arm in the phase III COMFORT-I and COMFORT-II studies. Panobinostat (PAN), a potent pan-deacetylase inhibitor (pan-DACi), inhibits JAK signaling through disruption of the interaction of JAK2 with the protein chaperone heat shock protein 90. In phase I/II studies, PAN has shown splenomegaly reduction and improvement of bone marrow fibrosis. The combination of RUX and PAN demonstrated synergistic anti-MF activity in preclinical studies. These preliminary results led to the initiation of a phase Ib study evaluating the combination of RUX and PAN in patients (pts) with MF. The updated results from the expansion phase of this trial are presented here. Methods: Eligible pts had intermediate-1, -2, or high-risk primary MF, post-polycythemia vera MF, or post-essential thrombocythemia MF by International Prognostic Scoring System criteria, with palpable splenomegaly (≥ 5 cm below the costal margin). The primary objective was determination of the maximum tolerated dose (MTD) and/or recommended phase II dose (RPIID). Secondary objectives included safety, efficacy, and pharmacokinetics. Exploratory endpoints included assessment of improvement in bone marrow fibrosis and reduction of JAK2 V617F allele burden. The treatment schedule was RUX (5-15 mg) twice daily (bid) every day and PAN (10-25 mg) once daily 3 times per week (tiw; days 2, 4, and 6) every other week (qow) in a 28-day cycle. Following dose escalation and identification of the potential RPIID, additional pts were enrolled into the expansion phase and treated at this dose. Results: As of March 14, 2014, a total of 61 pts were enrolled (38 escalation phase and 23 expansion phase). The median duration of exposure to PAN and to RUX was 24.6 weeks and 24.0 weeks, respectively, for pts treated in the expansion phase. Three DLTs were observed in the escalation phase (grade 4 thrombocytopenia [n = 2], grade 3 nausea [n = 1]). No MTD was reached. The RPIID was confirmed to be RUX 15 mg bid and PAN 25 mg tiw qow in May 2014. Among the 34 pts treated at the RPIID, grade 3/4 adverse events (AEs) regardless of causality included anemia (32%), thrombocytopenia (24%), diarrhea (12%), asthenia (9%), and fatigue (9%). AEs led to discontinuation in 6% of pts treated at the RPIID. Two pts treated at the RPIID died due to causes unrelated to study treatment (1 due to myocardial infarction and 1 due to progression of myelofibrosis). Among the pts treated at the RPIID, 79% showed a >50% decrease in palpable spleen length, with 100% decrease (non-palpable spleen) being observed in 53% of pts. Additionally, 48% of pts treated at the RPIID in the expansion phase achieved ≥35% reduction in spleen volume (Figure). These results are similar to those observed for spleen volume response at 24 weeks among pts who received single-agent RUX on the phase III COMFORT-I (41.9%) and COMFORT-II (32%) studies. Conclusions: The combination of the JAK1/JAK2 inhibitor RUX and the pan-DACi PAN was well tolerated and resulted in high rates of reductions in splenomegaly in pts with intermediate- and high-risk MF. Although a relatively larger proportion of patients experienced spleen volume reductions at week 24 as compared to the COMFORT studies, the smaller sample size, shorter follow up times and potential differences in the patient populations preclude definitive comparisons. Similar to COMFORT-I and II trials, hematological AEs, specifically anemia and thrombocytopenia, were the most common AEs observed in pts treated with the combination therapy. Pts continue to be treated in the expansion phase at the RPIID. Updated safety, efficacy, and exploratory analyses on bone marrow fibrosis, JAK V617F allele burden, and biomarkers, including cytokines, will be presented. Figure Change in Spleen Volume in Expansion Phase Figure. Change in Spleen Volume in Expansion Phase Disclosures Kiladjian: Novartis: Honoraria, Research Funding, Speakers Bureau; Shire: Membership on an entity's Board of Directors or advisory committees; AOP Orphan: Honoraria, Research Funding. Heidel:Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees. Vannucchi:Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Ribrag:Celgene: Consultancy; Pharmamar: Consultancy; Epizyme: Research Funding; Bayer: Consultancy, Research Funding; Servier: Consultancy, Honoraria, Research Funding. Conneally:Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BMS: Honoraria, Speakers Bureau; Pfizer: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Kindler:Novartis: Consultancy. Acharyya:Novartis: Employment. Gopalakrishna:Novartis: Employment. Ide:Novartis: Employment, Equity Ownership. Loechner:Novartis: Employment. Mu:Novartis: Employment. Harrison:Novartis: Consultancy, Honoraria, Research Funding, Speakers Bureau; Sanofi: Consultancy, Honoraria; CTI: Consultancy, Honoraria; Gilead: Honoraria; SBio: Consultancy; Shire: Speakers Bureau.


Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 20-20 ◽  
Author(s):  
Niels Weinhold ◽  
Shweta S. Chavan ◽  
Christoph Heuck ◽  
Owen W Stephens ◽  
Ruslana Tytarenko ◽  
...  

Abstract Introduction: Recent next generation sequencing studies have defined the mutation spectrum in multiple myeloma (MM) and uncovered significant intra-clonal heterogeneity, showing that clinically relevant mutations are often only present in sub-clones. Longitudinal analyses demonstrated that tumor clones under therapeutic pressure behave in a "Darwinian" fashion, with shifting dominance of tumor clones over time. Recently, stratification of clonal substructures in distinct areas of the tumor bulk has been shown for multiple cancer types. So far, spatial genomic heterogeneity has not been systematically analyzed in MM. This stratification in space is becoming increasingly important as we begin to understand the contribution of Focal Lesions (FL) to tumor progression and emergence of drug resistance in MM. We have recently shown that high numbers of FL are associated with gene expression profiling (GEP) defined high risk (HR). A comparison of GEP data of 170 paired random bone marrow (RBM) and FL aspirates showed differences in risk signatures, supporting the concept of spatial clonal heterogeneity. In this study we have extended the analysis by performing whole exome sequencing (WES) and genotyping on paired RBM and FL in order to gain further insight into spatial clonal heterogeneity in MM and to find site-specific single nucleotide variant (SNV) spectra and copy number alterations (CNA), which contribute to disease progression and could form the basis of adaptation of the tumor to therapeutic pressure. Materials and Methods: We included 50 Total Therapy MM patients for whom paired CD138-enriched RBMA and FL samples were available. Leukapheresis products were used as controls. For WES we applied the Agilent qXT kit and a modified Agilent SureSelect Clinical Research Exome bait design additionally covering the immunoglobulin heavy chain locus and sequences located within 1Mb of the MYC locus. Paired-End sequencing to a minimum average coverage of 120x was performed on an Illumina HiSeq 2500. Sequencing data were aligned to the Ensembl GRCh37/hg19 human reference using BWA. Somatic variants were identified using MuTect. For detection of CNA we analyzed Illumina HumanOmni 2.5 bead chip data with GenomeStudio. Subclonal reconstruction was performed using PhyloWGS. Mutational signatures were investigated using SomaticSignatures. The GEP70 risk signature was calculated as described previously. Informed consent in accordance with the Declaration of Helsinki was obtained for all cases included in this study. Results: Analyzing RBM and FL WES data, we detected between 100 and 200 somatic SNVs in covered regions, with approximately 30% of them being non-synonymous, and less than 5% stop gained or splice site variants. A comparison of paired RBM and FL WES data showed different extents of spatial heterogeneity. Some pairs had very similar mutation profiles with up to 90% shared variants, whereas others demonstrated marked heterogeneity of point mutations. We did not detect differences in mutational signatures between RBM and FL using the 'SomaticSignatures' package. We found site-specific driver mutations with high variant allele frequencies, indicating replacement of other clones in these areas. For example we observed a clonal KRAS mutation exclusively in the RBM, whereas a NRAS variant was only identified in the paired FL. The same holds true for large-scale CNAs (>1 Mb). We identified a case in which the high risk CNAs gain(1q) and del(17p) were only detectable in the FL. Further examples for site-specific CNAs were a del(10q21) and a gain(4q13) detected in FLs only. As a prominent pattern, we observed outgrowth of sub-clonal RBM CNAs as clonal events in the FL. Based on mutation and CNA data we identified different forms of spatial evolution, including parallel, linear and branching patterns. Of note, a stratified analysis by GEP70-defined risk showed that a more pronounced spatial genomic heterogeneity of SNVs and CNAs was associated with HR disease. Conclusion: We show that spatial heterogeneity in clonal substructure exists in MM and that it is more pronounced in HR. The existence of site-specific HR CNAs and driver mutations highlights the importance of heterogeneity analyses for targeted treatment strategies, thereby facilitating optimal personalized MM medicine. Disclosures Weinhold: University of Arkansas for Medical Sciences: Employment; Janssen Cilag: Other: Advisory Board. Chavan:University of Arkansas for Medical Sciences: Employment. Heuck:Millenium: Other: Advisory Board; Janssen: Other: Advisory Board; Celgene: Consultancy; University of Arkansas for Medical Sciences: Employment; Foundation Medicine: Honoraria. Stephens:University of Arkansas for Medical Sciences: Employment. Tytarenko:University of Arkansas for Medical Sciences: Employment. Bauer:University of Arkansas for Medical Sciences: Employment. Peterson:University of Arkansas for Medical Sciences: Employment. Ashby:University of Arkansas for Medical Sciences: Employment. Stein:University of Arkansas for Medical Sciences: Employment. Johann:University of Arkansas for Medical Sciences: Employment. Johnson:University of Arkansas for Medical Sciences: Employment. Yaccoby:University of Arkansas for Medical Sciences: Employment. Epstein:University of Arkansas for Medical Sciences: Employment. van Rhee:University of Arkansa for Medical Sciences: Employment. Zangari:Novartis: Research Funding; Onyx: Research Funding; Millennium: Research Funding; University of Arkansas for Medical Sciences: Employment. Schinke:University of Arkansas for Medical Sciences: Employment. Thanendrarajan:University of Arkansas for Medical Sciences: Employment. Davies:Millenium: Consultancy; Onyx: Consultancy; Celgene: Consultancy; University of Arkansas for Medical Sciences: Employment; Janssen: Consultancy. Barlogie:University of Arkansas for Medical Sciences: Employment. Morgan:University of Arkansas for Medical Sciences: Employment; MMRF: Honoraria; CancerNet: Honoraria; Takeda: Honoraria, Membership on an entity's Board of Directors or advisory committees; Weismann Institute: Honoraria; Bristol Myers Squibb: 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.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 3132-3132
Author(s):  
Bryce Manso ◽  
Kimberly Gwin ◽  
Charla R Secreto ◽  
Henan Zhang ◽  
Wei Ding ◽  
...  

Abstract Peripheral immune dysfunction in B-Chronic Lymphocytic Leukemia (CLL) is well-studied and likely relates to the incidence of serious recurrent infections and second malignancies that plague CLL patients. However, the current paradigms of known immune abnormalities are not able to consistently explain these complications and it is not easy to correct CLL patient immune status. Here, we expand on our preliminary reports that demonstrate bone marrow (BM) hematopoietic dysfunction in early and late stage untreated CLL patients. We found reduced short-term functional capacity of hematopoietic progenitors in BM using colony forming unit assays (Figure 1A-C) and flow cytometry revealed significant reductions in frequencies of hematopoietic stem and progenitor cell (HSPC) populations (exemplified by Lin-CD34+ HSPCs, Figure 1D). We further report that protein levels of the transcriptional regulators HIF-1α, GATA-1, PU.1, and GATA-2 are overexpressed in distinct HSPC subsets from CLL patient BM, providing molecular insight into the basis of HSPC dysfunction. Interestingly, sustained myelopoiesis, evaluated by limiting dilution analysis in long-term culture-initiating cell (LTC-IC) assays maintained for five weeks, revealed no difference between healthy controls and CLL patients. These new data indicate that when HSPCs are removed from the leukemic microenvironment for ample in vitro culture time, they recover the ability to sustain myelopoiesis. To further assess the impact of the CLL microenvironment on HSPC biology, isolated HSPCs (CD34+ BM cells) from healthy controls were exposed in vitro to known leukemic microenvironment constituents. Exposure to TNFα, a cytokine constitutively produced by CLL B cells, resulted in rapid increases in PU.1 and GATA-2 proteins (Figure 2A-D). Similarly, addition of TNFα to the LTC-IC assay resulted in a striking ablation of myelopoiesis, even at the highest input cell concentration. Further, overexpression of PU.1 and GATA-2 were observed in HSPCs following co-culture with CLL B cells, a result that was not recapitulated when cells were exposed to IL-10, another cytokine constitutively produced by CLL B cells. These findings indicate specific components of the leukemic microenvironment are involved in HSPC modulation. Together, these findings expand on our previous observations of BM hematopoietic dysfunction in untreated CLL patients and offer new molecular insights into the contribution of the leukemic microenvironment on immunodeficiency in CLL. Disclosures Ding: Merck: Research Funding. Parikh:Pharmacyclics: Honoraria, Research Funding; MorphoSys: Research Funding; Janssen: Research Funding; Abbvie: Honoraria, Research Funding; Gilead: Honoraria; AstraZeneca: Honoraria, Research Funding. Kay:Morpho-sys: Membership on an entity's Board of Directors or advisory committees; Agios Pharm: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Acerta: Research Funding; Infinity Pharm: Membership on an entity's Board of Directors or advisory committees; Gilead: 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; Cytomx Therapeutics: Membership on an entity's Board of Directors or advisory committees; Janssen: 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.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 150-150
Author(s):  
Mark Bustoros ◽  
Romanos Sklavenitis-Pistofidis ◽  
Chia-jen Liu ◽  
Efstathios Kastritis ◽  
Geoffrey Fell ◽  
...  

Abstract Background. Waldenström macroglobulinemia (WM) is a low-grade non-Hodgkin's lymphoplasmacytic lymphoma associated with overproduction of monoclonal IgM protein. It is preceded by an asymptomatic stage, called Smoldering Waldenström Macroglobulinemia (SWM), associated with a high risk of progression to overt disease. Current understanding of progression risk in SWM is based on a few small studies, and it is still unclear how to distinguish the asymptomatic patients who will progress from those who will not. Patients and Methods. We obtained clinical data of all WM patients who had been diagnosed and followed up at Dana-Farber Cancer Institute from 1982 to the end of 2014. Only patients with asymptomatic disease at the time of diagnosis were included in this study to identify risk factors for disease progression. Patients who received chemotherapy for a second cancer, before or after asymptomatic WM diagnosis (n =24), were excluded as chemotherapy might have affected the natural course of disease. Patients who progressed to or were diagnosed later with other types of B-cell lymphoproliferative disorders or Amyloidosis (n =71) and patients with myeloproliferative disorders or thalassemia (n = 4) were all excluded from our cohort. Furthermore, we excluded patients with no morphologic evidence of lymphoplasmacytic infiltration in the bone marrow biopsy (n =37), those without a bone marrow biopsy done at time of diagnosis (n =21), and those who were treated for peripheral neuropathy alone (n =13). Progression was defined based on the Consensus Panel recommendations of the Second International Workshop on WM. Survival analysis was performed using the Kaplan-Meier method and differences between the curves were tested by log-rank test. Effects of potential risk factors on progression rates was examined using Cox proportional-hazards models, with hazard ratios (HRs) and associated 95% confidence intervals (CIs). Results. A total of 439 patients were included in the study. During the 35-year study period and a median follow up of 7.8 years, 317 patients (72.2%) progressed to symptomatic WM. The median time to progression was 3.9 (95% CI 3.2-4.6) years. In the multivariate analysis, IgM ≥ 4,500 mg/dL (adjusted HR 4.65; 95% CI 2.52-8.58; p < 0.001), BM lymphoplasmacytic infiltration ≥ 70% (adjusted HR 2.56; 95% CI 1.69-3.87; p < 0.001), β2-microglobulin ≥ 4.0 mg/dL (adjusted HR 2.31; 95% CI 1.19-4.49; p = 0.014), and albumin < 3.5 g/dL (adjusted HR 2.78; 95% CI 1.52-5.09; p = 0.001) were all identified as independent predictors of disease progression, suggesting those thresholds could be clinically useful for determining high-risk patients. On the other hand, given the continuous nature of these variables, we built a proportional hazards model based on four variables (Bone marrow infiltration percentage, serum IgM, albumin, β2-microglobulin). The model divided the cohort into 3 distinct risk groups: a high-risk group with a median time to progression (TTP) of 1.9 years (95% CI 1.64-2.13), an intermediate-risk group with median TTP of 4.6 years (95% CI 4.31-5.15), and a low-risk group with a median TTP of 8.1 years (95% CI 7.33-8.13)(See Figure). To enhance its clinical applicability, we made the model available as user interface through a webpage and mobile application, where clinicians can enter an individual SWM patient's lab values and get information regarding their risk group and estimated individual risk of progression to symptomatic WM. Conclusion. We have assembled the largest cohort of SWM patients to date, which allowed us to identify four independent predictors of progression to overt disease: BM infiltration ≥ 70%, IgM ≥ 4,500 mg/dL, b2m ≥ 4.0 mg/dL and albumin < 3.5 g/dL. Using those variables in a proportional hazards model, we developed a robust, flexible classification system based on risk of progression to symptomatic WM. This system stratifies SWM patients into low-, intermediate- and high-risk groups and thus has the potential to inform patient monitoring and care. Most importantly, it can help identify high-risk patients who might benefit from early intervention in this rare malignancy. Figure 1. Figure 1. Disclosures Bustoros: Dava Oncology: Honoraria. Kastritis:Takeda: 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: Honoraria, Membership on an entity's Board of Directors or advisory committees; Prothena: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees. Soiffer:Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees. Treon:Johnson & Johnson: Consultancy; Janssen: Consultancy, Other: Travel, Accommodations, Expenses; BMS: Research Funding; Pharmacyclics: Consultancy, Other: Travel, Accommodations, Expenses, Research Funding. Castillo:Genentech: Consultancy; Millennium: Research Funding; Abbvie: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Beigene: Consultancy, Research Funding; Pharmacyclics: Consultancy, Research Funding. Dimopoulos:Amgen: Honoraria; Janssen: Honoraria; Takeda: Honoraria; Celgene: Honoraria; Bristol-Myers Squibb: Honoraria. Ghobrial:BMS: Consultancy; Janssen: Consultancy; Takeda: Consultancy; Celgene: Consultancy.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 2683-2683
Author(s):  
John R Jones ◽  
Charlotte Pawlyn ◽  
Niels Weinhold ◽  
Timothy Cody Ashby ◽  
Brian A Walker ◽  
...  

Abstract Introduction In Multiple Myeloma (MM) the emergence of treatment resistant clones is a characteristic feature of relapse and this is particularly so for high-risk cases. A key driver event mediating progression, risk status and relapse is gain(1q) (1q+). We report on the impact of 1q+ on the genetic profile seen at first relapse in a uniformly treated, newly diagnosed series of 56 patients enrolled to the NCRI Myeloma XI Trial. Methods We included 56 high risk patients, defined as relapse within 30 months of maintenance randomisation (median 19 months, range 8-51). Of the 56 patients, 30 received lenalidomide maintenance and 26 were observed. Whole exome sequencing was conducted at presentation and relapse to a median depth of 122x for tumour samples and 58x for controls. Libraries were prepared using the SureSelectQXT sample prep kit and SureSelect Clinical Research Exome kit. MuTect was used to determine gene variants and SciClone clustering was undertaken to map mutation variant allele frequencies. MANTA was used to determine translocations and Sequenza for copy number aberrations. Clonal structure and mechanisms of clonal evolution were assessed using kernel density estimation of the cancer clonal fraction for all mutations. Wilcoxon matched-pairs signed rank tests (2-sided) were used to determine the significance between paired data sets, including mutational load. Fishers exact test was used to determine the difference between two nominal variables. Results We looked at mutational, structural and clonal evolution events in all patients based on 1q+ status at relapse. At diagnosis, 34% (19/56) patients had evidence of 1q+, increasing to 46% (26/56) at relapse, with all patients harbouring 1q+ at presentation having the lesion at relapse. There was a significantly higher non-synonymous mutational load at relapse in patients with 1q+, 107 vs 126 (p=0.047), compared to those without 1q+, 36 vs 44 (p=0.140). Twenty two genes known to be significant in MM and mutations within the genes known to be important in IMiD mechanism of action were reviewed. Of the patients with 1q+, 92% (24/26) had at least one mutation during the course of the disease, compared to 77% in those without 1q+ (p=0.15). The impact on tumour suppressor gene regions including deletions of chromosome 1p, 13, 14 and 17p was analyzed. Of the patients with 1q+, 77% (20/26) of patients had a deletion of one of these regions during the disease course, compared to 57% (17/30) of patients without 1q+ (p=0.16). At relapse a change in the profile of these lesions was noted in 23% (6/26) patients with 1q+, compared to 20% (6/30) patients without 1q+ (p=1). Translocations involving MYC (t MYC) were also determined and found in 27% (7/26) of patients with 1q+ and 27% (8/30) of patients without (p=1). As with 1q+, t MYC was always preserved at relapse. Mechanisms of evolution leading to relapse were established for all patients. Branching and linear evolution predominated, noted to be the mechanism leading to relapse in 88% (23/26) patients with 1q+ and 83% (25/30) without (p0.71). Stable evolution was noted in the remaining patients. 1q+ occurring as a new event at relapse was associated with branching or linear evolution in all patients (n=7), consistent with a change in clonal structure. Conclusion These data reveal that 1q+ is conserved throughout the disease course, suggesting it imparts a survival advantage and treatment resistant phenotype to the clone(s) containing it. The presence of 1q+ is associated with a significant increase in mutational load at relapse and a greater incidence of tumour suppressor gene structural deletions, mechanisms that may contribute to clonal evolution and therapeutic escape. Disclosures Jones: BMS/Celgene: Other: Conference fees; Janssen: Honoraria. Pawlyn: Celgene / BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees. Weinhold: Sanofi: Honoraria. Walker: Sanofi: Speakers Bureau; Bristol Myers Squibb: Research Funding. Cairns: Merck Sharpe and Dohme: Research Funding; Amgen: Research Funding; Takeda: Research Funding; Celgene / BMS: Other: travel support, Research Funding. Kaiser: AbbVie: Consultancy; Seattle Genetics: Consultancy; BMS/Celgene: Consultancy, Other: Travel support, Research Funding; Amgen: Honoraria; Karyopharm: Consultancy, Research Funding; Pfizer: Consultancy; Janssen: Consultancy, Other: Educational support, Research Funding; GSK: Consultancy; Takeda: Consultancy, Other: Educational support. Cook: Pfizer: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; BMS: Consultancy, Honoraria, Research Funding; Sanofi: Consultancy, Honoraria; Oncopeptides: Consultancy, Honoraria; Janssen: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Roche: Consultancy, Honoraria. Drayson: Abingdon Health: Current holder of individual stocks in a privately-held company. Jackson: oncopeptides: Consultancy; takeda: Consultancy, Honoraria, Research Funding, Speakers Bureau; GSK: Consultancy, Honoraria, Speakers Bureau; J and J: Consultancy, Honoraria, Speakers Bureau; celgene BMS: Consultancy, Honoraria, Research Funding, Speakers Bureau; amgen: Consultancy, Honoraria, Speakers Bureau; Sanofi: Honoraria, Speakers Bureau. Davies: BMS: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Roche: Consultancy, Honoraria. Morgan: BMS: Membership on an entity's Board of Directors or advisory committees; Jansen: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Membership on an entity's Board of Directors or advisory committees; GSK: Membership on an entity's Board of Directors or advisory committees.


Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 4028-4028
Author(s):  
Alessandro Levis ◽  
Daniela Maria Gioia ◽  
Laura Godio ◽  
Mauro Girotto ◽  
Bernardino Allione ◽  
...  

Abstract Abstract 4028 BACKGROUND. The corner stone of the WHO classification and prognostic scores of myelodysplastic syndromes (MDS) is the blast count in bone marrow. The standard cytology evaluation of at least 500 bone marrow cells is easy to perform, but some concerns arise about reproducibility of this method. Nowadays bone marrow trephine biopsy and flow cytometry are frequently considered for the diagnosis of MDS. However there is so far paucity of data comparing cytology, histology and flow cytometry in quantifying bone marrow blasts in order to differentiate non RAEB from BAEB-I and RAEB-II cases. AIM OF THE WORK. The Aim of the work was to analyse the differences and the prognostic impact of cytology, histology and flow cytometry in differentiating non RAEB from BAEB-I and RAEB-II. PATIENTS AND METHODS. Since 1999, clinical and laboratory data from 1256 new cases of MDS were prospectively recorded into the Piemonte MDS Registry. Blast count could be performed with the three different methods: BMC (bone marrow cytology) has been performed in 844 cases, BMH (bone marrow histology) in 874 cases, and BMF (bone marrow flow cytometry) in 636. In order to quantify blasts, immune-histochemistry evaluation of CD34+ cells was used in BMH, while both CD34+ and CD117+ cells were considered in BMF. Out of the total of the 636 patients analysed by BMF only 420 had an accurate and complete registration of CD34 and CD117 positivity and were considered for the present analysis. In two hundred and thirty six cases all three evaluations were contemporary available. The concordance of each diagnostic method with the others and their prognostic value were evaluated in both univariate and multivariate analyses. A comparison between BMC and BMH was available in 571 cases, between BMC and BMF in 228 cases, and between BMH and BMF in 279 cases. RESULTS. The disagreement in classifying patients as non-RAEB or RAEB-I or RAEB-II between BMC and BMH was 156/571 (27%), with BMH over-evaluating blasts in 114/571 cases (20%) and under-evaluating blasts in 42/571 cases (7%). The disagreement between BMC and BMF was 80/228 (35%), with BMF over-evaluating and under-evaluating blast percentage in comparison to BMC in 53/228 (23%) and in 27/228 (12%) cases respectively. The disagreement between BMH and BMF was present in 113/279 (41%), with BMF over-evaluating and under-evaluating blast percentage in comparison to BMH in 44/279 (16%) and in 69/279 (25%) cases respectively. In univariate analysis all three methods of quantifing blasts and differentiating non-RAEB from RAEB-I and RAEB-II retained an important prognostic value for both leukemic evolution and survival. However when the three models were tested in multivariate analysis in order to define the best predictor of leukemic evolution, BMC retained the best predictive value. CONCLUSIONS. When BMH or BMF are used instead of BMC in order differentiate non-RAEB from RAEB-I and RAEB-II, the shift to a different WHO category is evident in at least 30% of patients and BMH and BMF do not play the same role as BMC. BMC still remain the standard method to quantify blasts for classification and prognostic evaluation of MDS. Disclosures: Off Label Use: Lenalidomide in Mantle Cell Lymphoma. Boccadoro:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen-Cilag: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Saglio:Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau.


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