scholarly journals Microenvironment Profiling in Myelodysplastic Syndromes and Its Relationship to Clonal Hematopoiesis and Disease Progression

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4650-4650
Author(s):  
Antonieta Molero Yordi ◽  
Bárbara Tazón ◽  
Laura Gallur ◽  
Silvia Saumell ◽  
Tamara Jimenez ◽  
...  
Keyword(s):  
Bone Marrow ◽  
T Cells ◽  
High Risk ◽  
Disease Progression ◽  
Board Of Directors ◽  
Myelodysplastic Syndromes ◽  
Research Funding ◽  
Statistical Significance ◽  
Advisory Committees ◽  
Heterogeneous Distribution

Abstract Background: Immune dysregulation and somatic gene mutations are known prognostics factors in myelodysplastic syndromes (MDS). Moreover, impaired cytotoxicity and a decrease in mature natural killer cells (NK) have been related to higher risk characteristics. Also, killer immunoglobulin-like receptor (KIR) expression and haplotype have been associated with overall survival in MDS. The overexpression of inflammatory cytokines, produced by the clonal cell, plays a role in the immune environment. Early MDS presented increase apoptosis, whereas high risk MDS shows a downregulation of pro-apoptotic cytokines indicating decreased immune surveillance. The importance of the interaction of the immune populations and the malignant clone is not entirely understood. The aim of this study was to characterize how the microenvironment regulates the malignant clone and to describe the different immune landscape in MDS bone marrow. Methods: We prospectively studied 50 MDS patients, 12 idiopathic cytopenia of unknown significance (ICUS) and 4 healthy donors (HD). We analyzed different immune cells in bone marrow: NK (CD3CD56+CD16+/CD56+CD16-/CD56-CD16+) and their activating (NKp46, NKp30, NKG2C, NKG2D, NKp44, DNAM) and inhibitory receptors (TIGIT, NKG2A, Irp60, and PD1) as well as their ligands (HLA-ABC, MICA-B, CD155, PD-L1). We also assessed myeloid-derived suppressor cells (MDSC), differentiating granulocytic (Gr-MDSC: CD11b +CD33 +HLA-DR -CD15 +CD14 -) from monocytic (Mo-MDSC: CD11b +CD33 +HLA-DRlow/CD15 +CD14 +). Also, T cells subpopulations in peripheral blood with the following markers (CD3/CD4/ CD8/CCR7/CD45RA/ CD27/CD28/CD279/CD57/CXCR3/CCR6). Molecular analysis by NGS using the Oncomine Myeloid Research Assay (ThermoFisher Scientific) included 40 genes associated with myeloid malignancies. Also, we determined the KIR haplotype by NGS. For the study of cytokines concentrations, we used the Luminex® platform with ThermoFisher commercial kit ProcartaPlex TM Multiplex immunoassay. Results: A total of 66 samples were tested. Patient's median age was 74 years-old and 44% were female (other details in table1). Compared to ICUS, we found in MDS patients a decrease of TCD4+PD1+ T cells (MDS 26.23% vs ICUS 41.23%, p=0.022), effector TCD8+ cells (MDS 15.74% vs ICUS 45.69%, p= 0.02) and in TNK (MDS 1.72% vs ICUS 7.8%, p= 0.04). Regarding NK cells, we observed a decrease in mature NK (CD56dimCD16+) in MDS compared to ICUS, which did not reach statistical significance (MDS 15.25% vs ICUS 79.16%; p=0.104). As for NK receptors, we observed a significant decrease in NKG2C (MDS 4.94%, vs HD 28.35% p=0.039) and KIR2DS4 (MDS 16.56% vs HD 91.18%; p=0.036) expression in MDS. In the study of ligands, a significant loss of MIC-A/B in MDS vs. controls (MDS 0.42% vs HD 6.96%, p=0.034) was detected. Regarding cytotoxicity, a higher expression of perforin in MDS and ICUS compared with HD (35%, 42.65% vs. 11.93% respectively; p=0.033) was showed. A 33% of patients presented with KIR A haplotype, with no differences in the immunological profile between haplotypes. In terms of MDSC, we observed a trend to higher expression in MDS compared to controls (MDS 1.58%, ICUS 0.15% vs HD 0.18% p=0.10). Of these patients, 4 required treatment and 1 progressed to AML. We found mutations in 34 (85%) of MDS, of these, 27 (79.4%) had more than 2, with 38% of patients with abnormal cytogenetic (including 14.7% complex karyotype). Mutated patients had more MDSC than unmutated patients (0.95% vs 0.01%, p=0.001) and a trend to lower CD56dimCD16+ expression in mutated patients compared with unmutated MDS (24.7% vs. 91.57%, respectively, p=0.058). Finally, in the cytokines analysis, an increased level of IL-10 in high-risk compared to low and intermediate patients (2 pg/ml vs. 1 pg/ml, p=0.04) was demonstrated, 16 (53%) had high concentrations of IL10 > 40 pg/ml, 8 (26.6%) had more than 2 mutations and 3 (10%) had a single TP53 mutation. Conclusions: Our analysis showed a heterogeneous distribution of the different immune populations. We found a decreased mature NK and increased MDSC in mutated patients. Further analyses should be performed to describe independent factors that may affect disease progression. Figure 1 Figure 1. Disclosures Molero Yordi: Oryzon Genomics: Consultancy. Salamero: Pfizer: Consultancy; BMS/Celgene: Consultancy, Honoraria; Novartis: Consultancy, Honoraria. Diez-Campelo: Takeda Oncology: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; BMS: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau. Prosper: Oryzon: Honoraria; BMS-Celgene: Honoraria, Research Funding; Janssen: Honoraria. Bosch: Roche: Membership on an entity's Board of Directors or advisory committees, Other: Travel; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel, Research Funding; AbbVie: Membership on an entity's Board of Directors or advisory committees, Other: Travel; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Travel; TAKEDA: Membership on an entity's Board of Directors or advisory committees, Other: Travel. Valcarcel: SANOFI: Consultancy, Honoraria, Speakers Bureau; SOBI: Consultancy, Honoraria, Speakers Bureau; JAZZ: Consultancy, Honoraria, Speakers Bureau; AMGEN: Consultancy, Honoraria, Speakers Bureau; NOVARTIS: Consultancy, Honoraria, Speakers Bureau; ASTELLAS: Consultancy, Honoraria, Speakers Bureau; TAKEDA: Consultancy, Honoraria, Speakers Bureau; BMS: Consultancy, Honoraria, Speakers Bureau; CELGENE: Consultancy, Honoraria, Speakers Bureau.

scholarly journals Phase II Trial of the Combination of Ixazomib, Lenalidomide, and Dexamethasone in High-Risk Smoldering Multiple Myeloma

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 804-804 ◽  
Author(s):  
Mark Bustoros ◽  
Chia-jen Liu ◽  
Kaitlen Reyes ◽  
Kalvis Hornburg ◽  
Kathleen Guimond ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Bone Marrow ◽  
High Risk ◽  
Disease Progression ◽  
Board Of Directors ◽  
Rna Sequencing ◽  
Research Funding ◽  
Response Rate ◽  
Advisory Committees ◽  
Equity Ownership

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.

Effect Of Treatment With The JAK2-Selective Inhibitor Fedratinib (SAR302503) On Bone Marrow Histology In Patients With Myeloproliferative Neoplasms With Myelofibrosis

Blood ◽  
2013 ◽  
Vol 122 (21) ◽  
pp. 2823-2823 ◽  
Author(s):  
Catriona HM Jamieson ◽  
Robert P Hasserjian ◽  
Jason Gotlib ◽  
Jorge E. Cortes ◽  
Richard M. Stone ◽  
...  
Keyword(s):  
Bone Marrow ◽  
High Risk ◽  
Phase I ◽  
Board Of Directors ◽  
Clinical Benefit ◽  
Research Funding ◽  
Selective Inhibitor ◽  
Advisory Committees ◽  
Grade 3

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.

Efficacy, Safety, and Confirmation of the Recommended Phase 2 Dose of Ruxolitinib Plus Panobinostat in Patients with Intermediate or High-Risk Myelofibrosis

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 711-711 ◽  
Author(s):  
Jean-Jacques Kiladjian ◽  
Florian H Heidel ◽  
Alessandro M. Vannucchi ◽  
Vincent Ribrag ◽  
Francesco Passamonti ◽  
...  
Keyword(s):  
Bone Marrow ◽  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Phase Iii ◽  
Spleen Volume ◽  
Bone Marrow Fibrosis ◽  
Advisory Committees ◽  
Expansion Phase ◽  
Marrow Fibrosis

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.

scholarly journals Phase 1/2 Study of Nexi-001 Donor-Derived Multi-Antigen Specific CD8+ T Cells for the Treatment of Relapsed Acute Myeloid Leukemia (AML) after Allogeneic Hematopoietic Transplantation

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4819-4819
Author(s):  
Monzr M. Al Malki ◽  
Sumithira Vasu ◽  
Dipenkumar Modi ◽  
Miguel-Angel Perales ◽  
Lucy Y Ghoda ◽  
...  
Keyword(s):  
Bone Marrow ◽  
T Cells ◽  
T Cell ◽  
Board Of Directors ◽  
Cd8 T Cells ◽  
Research Funding ◽  
Phase 1 ◽  
Clinical Activity ◽  
Advisory Committees ◽  
Over Time

Abstract Patients who relapse after allogeneic HCT have a poor prognosis and few effective treatment options. Responses to salvage therapy with donor lymphocyte infusions (DLI) are driven by a graft versus leukemia (GvL) effect. However, relapses and moderate to severe graft versus host disease (GVHD) are common. Therapies that increase the GvL effect without inducing GVHD are needed. The NEXI-001 study is a prospective, multicenter, open-label phase 1/2 trial designed to characterize the safety, immunogenic, and antitumor activity of the NEXI-001 antigen specific T-cell product. This product is a donor-derived non-genetically engineered therapy that consists of populations of CD8+ T cells that recognize HLA 02.01-restricted peptides from the WT1, PRAME, and Cyclin A1 antigens. These T cells consist of populations with key memory phenotypes, including stem-like memory, central memory, and effector memory cells, with a low proportion (<5%) of potentially allogeneic-reactive T-naïve cells. Patients enrolled into the first cohort of the dose escalation phase received a single infusion of 50 million (M) to 100M cells of the NEXI-001 product. Bridging anti-AML treatment was permitted during the manufacture of the cellular product with a wash-out period of at least 14 days prior to lymphodepletion (LD) chemotherapy (intravenous fludarabine 30 mg/m 2 and cyclophosphamide 300 mg/m 2) that was administered on Days -5, -4, and -3 prior to the infusion of the NEXI-001 product up to 72 hours later (Day1). Lymphocyte recovery to baseline levels occurred as early as three days after the NEXI-001 product infusion with robust CD4 and CD8 T cell reconstitution after LD chemotherapy. NEXI-001 antigen specific T cells were detectable in peripheral blood (PB) by multimer staining and were found to proliferate over time and to traffic to bone marrow. The phenotype composition of detectable antigen specific T cells at both sites was that of the infused product. T-cell receptor (TCR) sequencing assays revealed T cell clones in the NEXI-001 product that were not detected in PB of patients tested at baseline. These unique clones subsequently expanded in PB and bone marrow (BM) and persisted over time. Neutrophil recovery, decreased transfusion burden of platelets and red blood cells, and increased donor chimerism were observed. Decreases in myeloblasts and reduction in the size of an extramedullary myeloid sarcoma were suggestive of clinical activity. One patient, a 23-year- old with MRD+ disease at baseline, received two doses of 200M NEXI-001 cells separated by approximately 2 months. Following the first infusion, antigen specific CD8+ T cells increased gradually in PB to 9% of the total CD3+ T cell population just prior to the second infusion and were found to have trafficked to bone marrow. By Day 2 following the second infusion, which was not preceded by LD chemotherapy, the antigen specific CD8+ T cells again increased to 9% of the total CD3+ T cell population in PB and remained at ≥5% until the end of study visit a month later. The absolute lymphocyte count increased by 50% highlighting continued expansion of the NEXI-001 T cells. These cells also maintained significant Tscm populations. Treatment related adverse events, including infusion reactions, GVHD, CRS, and neurotoxicity (ICANS), have not developed in these patients who have received 50M to 200M T cells of the NEXI-001 product either as single or repeat infusions. In conclusion, these results show that infusion of the NEXI-001 product is safe and capable of generating a cell-mediated immune response with early signs of clinical activity. A second infusion is associated with increasing the level of antigen specific CD8+ T cells and their persistence in PB and BM. TCR sequencing and RNA Seq transcriptional profiling of the CD8+ T cells are planned, and these data will be available for presentation during the ASH conference. At least two cycles of 200M NEXI-001 cells weekly x 3 weeks of a 4-week cycle is planned for the next dose-escalation cohort. Early data suggest that the NEXI-001 product has the potential to enhance a GvL effect with minimal GVHD-associated toxicities. Disclosures Al Malki: Jazz Pharmaceuticals, Inc.: Consultancy; Neximmune: Consultancy; Hansa Biopharma: Consultancy; CareDx: Consultancy; Rigel Pharma: Consultancy. Vasu: Boehringer Ingelheim: Other: Travel support; Seattle Genetics: Other: travel support; Kiadis, Inc.: Research Funding; Omeros, Inc.: Membership on an entity's Board of Directors or advisory committees. Modi: MorphoSys: Membership on an entity's Board of Directors or advisory committees; Seagen: Membership on an entity's Board of Directors or advisory committees; Genentech: Research Funding. Perales: Sellas Life Sciences: Honoraria; Novartis: Honoraria, Other; Omeros: Honoraria; Merck: Honoraria; Takeda: Honoraria; Karyopharm: Honoraria; Incyte: Honoraria, Other; Equilium: Honoraria; MorphoSys: Honoraria; Kite/Gilead: Honoraria, Other; Bristol-Myers Squibb: Honoraria; Celgene: Honoraria; Medigene: Honoraria; NexImmune: Honoraria; Cidara: Honoraria; Nektar Therapeutics: Honoraria, Other; Servier: Honoraria; Miltenyi Biotec: Honoraria, Other. Edavana: Neximmune, Inc: Current Employment. Lu: Neximmune, Inc: Current Employment. Kim: Neximmune, Inc: Current Employment. Suarez: Neximmune, Inc: Current Employment. Oelke: Neximmune, Inc: Current Employment. Bednarik: Neximmune, Inc: Current Employment. Knight: Neximmune, Inc: Current Employment. Varela: Kite: Speakers Bureau; Nexlmmune: Current equity holder in publicly-traded company, Honoraria, Membership on an entity's Board of Directors or advisory committees.

scholarly journals Progression Risk-Based Classification of Asymptomatic Waldenström Macroglobulinemia

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 150-150
Author(s):  
Mark Bustoros ◽  
Romanos Sklavenitis-Pistofidis ◽  
Chia-jen Liu ◽  
Efstathios Kastritis ◽  
Geoffrey Fell ◽  
...  
Keyword(s):  
Bone Marrow ◽  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Proportional Hazards ◽  
Risk Group ◽  
Advisory Committees ◽  
Waldenström Macroglobulinemia ◽  
Waldenstrom Macroglobulinemia ◽  
Risk Of Progression

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.

Azacitidine in Patients with Acute Myeloid Leukemia: Impact of Intermediate-Risk Vs High-Risk Cytogenetics on Patient Outcomes

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 955-955 ◽  
Author(s):  
Lisa Pleyer ◽  
Sonja Burgstaller ◽  
Reinhard Stauder ◽  
Michael Girschikofsky ◽  
Werner Linkesch ◽  
...  
Keyword(s):  
Bone Marrow ◽  
High Risk ◽  
Board Of Directors ◽  
Myeloid Leukemia ◽  
Research Funding ◽  
Negative Impact ◽  
Intermediate Risk ◽  
Advisory Committees ◽  
Bone Marrow Blasts ◽  
Acute Myeloid

Abstract Background Several studies, including retrospective analyses of patient registries1,2 and a subanalysis of the phase III MDS-AZA-001 trial3 suggest that poor-risk cytogenetics negatively impact overall survival (OS) in patients with myelodysplastic syndrome (MDS) and World Health Organization (WHO)-defined acute myeloid leukemia (AML) treated with azacitidine (AZA). There are few data available to indicate whether AZA has improved clinical activity vs conventional care in AML patients with adverse cytogenetics. However, in a subanalysis of MDS-AZA-001 (MDS and AML [20–30% bone marrow blasts]) patients with –7/–7q abnormalities had better OS with AZA than low-dose cytarabine (21.4 vs 3.5 months, respectively) supporting significant activity of AZA in patients with adverse cytogenetics.4 Methods In this retrospective study of the Austrian AZA Registry (N=346), we compared patients with WHO-AML and intermediate- (n=228) vs high-risk (n=74) cytogenetics according to Medical Research Council (MRC) criteria. Outcomes were also assessed with respect to AZA treatment line. Results The intermediate-risk cytogenetics group comprised 228 patients (AZA 1st line, n=109; AZA ≥2nd line, n=119), and the high-risk cytogenetics group comprised 74 patients (AZA 1st line, n=39; AZA ≥2nd line, n=35; Figure 1). Comparison of baseline characteristics of both groups revealed significant differences with regard to prevalence of males and Eastern Cooperative Oncology Group Performance Status (ECOG PS) >2 for patients with high-risk cytogenetics receiving AZA 1st line, but not in those receiving AZA ≥2nd line. Peripheral blood blasts were present in a significantly larger proportion of high- than intermediate-risk patients (Figure 1). In patients who received AZA 1st line, median number of AZA cycles was 6 for both the intermediate- and high-risk cytogenetic groups (range: 1–46 and 1–25, respectively). Median time from diagnosis to AZA start was <1 month for AZA 1st line and >7.6 months for AZA ≥2nd line. Median time from AZA stop to death was <2 months in all cohorts. In the whole cohort, the overall response rate (ORR) according to International Working Group (IWG) 2003 criteria5 was similar for patients with intermediate- and high-risk cytogenetics (complete response [CR] + CR with incomplete blood count recovery [CRi] + partial response [PR]: 32.0 vs 20.3%; p=0.106; Figure 1). Rates of hematologic improvement (HI) according to IWG 2006 criteria6 were also not significantly different (54.4 vs 75.6; p=0.063), and when ORR and HI were combined, the difference remained non-significant (47.4 vs 46.0%; p=0.885; Figure 1). Median OS was consistently higher in patients with intermediate- than high-risk cytogenetics (9.8 vs 5.4 months for the total cohort; p=0.046 [Figures 1 and 2a]; 13.5 vs 9.5 months for AZA 1st line [not significant]; and 7.6 vs 3.5 months for AZA ≥2nd line; p=0.005 [Figure 1]). However, median OS for responding patients (CR/CRi/PR/HI) was similar for patients with intermediate- and high-risk cytogenetics, irrespective of treatment line (19.9 vs 19.3 months for all responders; 20.5 vs 21.7 months for AZA 1st line; and 18.5 vs 15.0 months for AZA ≥2nd line). Furthermore, presence of a monosomal karyotype had a significant negative impact on OS (Figure 2b). None of the baseline factors analyzed had an impact on OS in patient subgroups with intermediate- or high-risk cytogenetics, except number of comorbidities >3. Conclusions Here, we compared outcomes of 302 WHO-AML patients with intermediate- vs high-risk cytogenetics treated with AZA. In line with recent data of MDS patients,1 baseline cytogenetics did not seem to have a significant effect on response to AZA. However, in agreement with other studies of AZA in MDS/WHO-AML patients,1–3 high-risk cytogenetics had a negative impact on survival compared with intermediate-risk cytogenetics in WHO-AML treated with AZA. 1. Sebert M, et al. Oral presentation at ASH 2013. Abstract 389 2. Thepot S, et al. Am J Hematol 2014;89:410–6 3. Fenaux P, et al. J Clin Oncol 2010;28:562–9 4. Fenaux P, et al. Br J Haematol 2010;149:244–9 5. Cheson BD, et al. J Clin Oncol 2003;21:4642–9 6. Cheson BD, et al. Blood 2006;108:419–25 Figure 1 Figure 1. Figure 2 Figure 2. Disclosures Pleyer: AOP Orphan Pharmaceuticals: Honoraria; Novartis: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Celgene: Consultancy, Honoraria. Off Label Use: Vidaza (azacitidine) is indicated for the treatment of adult AML patients who are not eligible for haematopoietic stem cell transplantation with 20–30 % blasts and multi-lineage dysplasia, according to WHO classification. This cohort also includes AML-patients with >30% bone marrow blasts.. Burgstaller:AOP Orphan Pharmaceuticals: Honoraria; Novartis: Honoraria; Mundipharma: Honoraria; Celgene: Consultancy. Stauder:Novartis: Research Funding; Ratiopharm: Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding. Girschikofsky:Pfizer: Honoraria, Research Funding; Mundipharm: Consultancy, Honoraria. Pfeilstöcker:Janssen-Cilag: Honoraria; Novartis: Consultancy, Honoraria; Celgene: Consultancy, Honoraria. Lang:Celgene: Consultancy. Sperr:Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Honoraria; Phadia: Research Funding. Valent:Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees. Greil:Sanofi Aventis: Honoraria; Roche: Honoraria; Pfizer: Honoraria, Research Funding; Boehringer-Ingelheim: Honoraria; Astra-Zeneca: Honoraria; Novartis: Honoraria; Genentech: Honoraria, Research Funding; Janssen-Cilag: Honoraria; Merck: Honoraria; Mundipharma: Honoraria, Research Funding; Eisai: Honoraria; Amgen: Honoraria, Research Funding; Celgene: Consultancy, Research Funding; Cephalon: Consultancy, Honoraria, Research Funding; Bristol-Myers-Squibb: Consultancy, Honoraria; GSK: Research Funding; Ratiopharm: Research Funding.

Impact of Hypomethylating Agent Therapy in Myelodysplastic Syndromes with Chromosome 3 Abnormalities

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 1705-1705
Author(s):  
David Sallman ◽  
Guillermo Garcia-Manero ◽  
Elias Jabbour ◽  
Mikkael A. Sekeres ◽  
Amy E. DeZern ◽  
...  
Keyword(s):  
Overall Survival ◽  
High Risk ◽  
Board Of Directors ◽  
Myelodysplastic Syndromes ◽  
Lower Risk ◽  
Research Funding ◽  
Chromosome 3 ◽  
Advisory Committees ◽  
Monosomy 3 ◽  
Risk Patients

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.

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 ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Multivariate Analysis ◽  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Primary Myelofibrosis ◽  
Driver Mutations ◽  
Prognostic Impact ◽  
Advisory Committees ◽  
The Impact

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.

Expression of S100A9 in Bone Marrow Cells Differentiates Refractory Cytopenia with Multilineage Dysplasia (RCMD) from Refractory Anemia with Excess Blasts (RAEB) and Acute Myeloid Leukemia (AML)

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 4303-4303 ◽  
Author(s):  
Paul Brent Ferrell ◽  
Caroline R. Maier ◽  
Mikael Roussel ◽  
Michael R. Savona ◽  
Jonathan Michael Irish
Keyword(s):  
Bone Marrow ◽  
T Cells ◽  
Board Of Directors ◽  
Research Funding ◽  
Bone Marrow Cells ◽  
Myeloid Cells ◽  
Mass Cytometry ◽  
Immune Microenvironment ◽  
Advisory Committees ◽  
Marrow Cells

Abstract Introduction: Myelodysplastic syndrome (MDS) is a heterogeneous group of bone marrow disorders with a yearly incidence of approximately 13,000 in the United States. It has been observed that both genetic mutations within stem and progenitor cells and a disordered immune microenvironment are present early in MDS. Abnormal levels of inflammatory cytokines as well increased numbers of suppressive cell types, such as regulatory T cells and myeloid derived suppressor cells (MDSC) have been noted in MDS bone marrow. MDSC are recently discovered subset of myeloid cells with specific immune regulatory functions, such as T cells suppression, seen in pathological conditions, such as cancer. Recent data suggest MDSC may play a critical role in MDS pathogenesis, and that S100A9, a danger-associated molecular pattern (DAMP) produced by some myeloid cells, including neutrophils, monocytes and MDSC, is a key signal for bone marrow immune dysregulation. Here, we report a systems immunology approach to cell type discovery within MDS bone marrow using high dimensional mass cytometry. Methods: Bone marrow aspirate samples with informed consent from MDS (n=19) and AML (n=4) patients were collected and cryopreserved following red blood cell lysis for storage by the Vanderbilt Hematology Tissue Repository, a tissue repository approved by the local Institutional Review Board (IRB). Samples were acquired for the study and stained with a 35-marker panel of metal tagged mass cytometry antibodies and analyzed with a mass cytometer (CyTOF). Cellular populations were then characterized using biaxial gating as well as viSNE, SPADE and hierarchical clustering as has been previously reported (Diggins et al. Methods 2015, Ferrell et al. PLoS One, 2016). Results: Unsupervised viSNE analysis of 35-markers per cell revealed distinct cellular subsets within each sample. Interestingly, one of the strongest marker signals was expression of S100A9, which was seen in multiple cells types including phenotypic MDSC. Further analysis revealed that as a percentage of bone marrow cells, S100A9 expression was significantly more common in RCMD vs. RAEB and AML (30.0% (n=10) vs. 10.9% (n=9) and 2.4% (n=4), respectively, p<0.05 for each comparison) (Figure 1A). Additionally, three paired RCMD/AML samples were available for analysis. Within these patients, the percentage of S100A9+ cells dropped from a mean of 41.7% in RCMD to a mean of 1.84% in AML bone marrow (Figure 1B&C). Conclusion: S100A9 is both a distinguishing feature of RCMD and of disease progression within MDS. Because of its important role inflammation and cellular recruitment, S100A9 may correlate with bone marrow cellular inflammation and could represent a viable target in treatment of the disordered immune microenvironment present in MDS, especially RCMD. Disclosures Savona: Celgene: Membership on an entity's Board of Directors or advisory committees; Sunesis: Research Funding; Incyte: Membership on an entity's Board of Directors or advisory committees, Research Funding; Ariad: Membership on an entity's Board of Directors or advisory committees; Amgen Inc.: Membership on an entity's Board of Directors or advisory committees; TG Therapeutics: Research Funding; Takeda: Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees. Irish:Incyte: Research Funding; Janssen: Research Funding; Cytobank, Inc.: Equity Ownership, Membership on an entity's Board of Directors or advisory committees.

scholarly journals Mutation Profiles Identify Distinct Clusters of Lower Risk Myelodysplastic Syndromes with Unique Clinical and Biological Features and Clinical Endpoints

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 29-29
Author(s):  
Luca Malcovati ◽  
Simon Crouch ◽  
Aniek O. De Graaf ◽  
Sarah Sandmann ◽  
Magnus Tobiasson ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Disease Progression ◽  
Board Of Directors ◽  
Clinical Features ◽  
Myelodysplastic Syndromes ◽  
Lower Risk ◽  
Research Funding ◽  
Information Criterion ◽  
Advisory Committees ◽  
The Right

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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