Mycobiome Supporting Diet to Reduce Gastrointestinal (GI)Toxicity Associated with Autologous Stem Cell Transplant (ASCT) for Patients with Multiple Myeloma (MM)

Abstract Emerging data suggest healthy microbiome helps to protect against mucosal injury and inflammation. Dysbiosis results in biofilm formation in the gut which has been shown to be pro-inflammatory. MM patients potentially have significant dysbiosis result of long term corticosteroid use. Our group, previously showed that composition of microbiome presents at the pre-transplant period correlates with rate and degree of post-ASCT GI toxicities, neutropenic fever and neutrophilic engraftment among MM patients. Also, our data suggested a link between microbial communities at the count nadir and GI toxicity after high dose melphalan and ASCT. Mycobiome Supporting Diet (MSD) proposed in this study is designed to restructure the gut microbiome (both bacterial and fungal communities) and support optimal GI tract health. It combines elements from several diets (e.g., Paleo, low-carbohydrate, vegetarian, and Mediterranean) and excludes elements of these diets that have been specifically proven to increase pathogenic fungi in the human gut. Our group examined application of MSD among healthy volunteers between the ages of 30 and 70 who agreed to follow the MSD for 28 days on a prospective trial. At the end of the study period, subjects had a 1.7-fold decrease in the abundance of Proteobacteria (considered a red flag for inflammation), with levels reduced from 38.6% to 23.3% with significantly increased of beneficial species such as Faeclibacterium prausnitzii (up 35.8%) , Bifidobacterium adolescentis (up 61.6%) , Roseburia (up 57.5%) , Lactobacillus (up 77.6%) , and Bacteroides. Furthermore, Pathogenic bacteria decreased significantly, including Escherichia coli (down 74%), Bacteroides fragilis (down 45.3%), and Clostridium (down 55.7%). After the study, all participants with GI symptoms reported moderate or dramatic improvements. Two thirds of the participants who chose to track their weight lost significant weight (between two and 10 pounds) over the testing period. Thirty percent of the participants reported moderate or dramatically improved fatigue and higher energy levels. Given the association between baseline gut dysbiosis and post-transplant GI toxicities and availability of a highly curated diet to optimize the richness and diversity of gut microbiome communities, in this trial (ClinicalTrials.gov Identifier: NCT04685525) we sought to examine the feasibility of MSD diet among MM patients undergoing transplant by assessing its potential effect on decreasing post-transplant GI toxicities. Methods: The primary objective of this study is to evaluate the feasibility of MSD diet using patient's adherence to the MSD diet. The adherence will be assessed 3 times before transplant on days -21, -14 and -7. The MSD diet will deem feasible if at least 80% of patients showed adherence defined by 2 out of 3 assessment marked "more than half a time". With sample size of 40 we will be able to estimate the adherence rate of 80% with 95% confidence interval of +/- 12%. To assess impact of MSD on micro- and mycobiome, a custom pipeline based on Greengenes V13_8 and Unite database V7.2 will be designed for the taxonomic classification of 16SrRNA and ITS sequences, respectively. Downstream data analysis will be performed using Qiime software. Statistical analysis will be performed using the statistical programming language R (version 3.3.0). Change across time in phyla and genus abundance at the community level will be assessed using the non-parametric multivariate distance-based analysis of variance using BC distance for dissimilarity metric along with its standardized binary form. Diversity will be analyzed in an unbiased manner using the Shannon diversity index, a measure of abundance taking into account microbial distribution. Richness will be also assessed, reflecting the microbial counts of the bacterial and fungal communities in each sample. Longitudinal analysis will be performed using all pair wise Multiple Comparison of Mean Ranks as implemented in the PMCMR plus R package version 1.2.0, employing Kruskal & Wallis test followed by Bonferroni-Dunn post-hoc adjustment. P <.05 will be considered statistically significant for all tests after correcting for multiple comparisons. Correction for multiple testing were performed using Benjamini-Hochberg adjustment method for multiple testing. Figure 1 Figure 1. Disclosures Malek: Sanofi: Other: Advisory Board; Bluespark Inc.: Research Funding; Amgen: Honoraria; Cumberland Inc.: Research Funding; Medpacto Inc.: Research Funding; Janssen: Other: Advisory board ; BMS: Honoraria, Research Funding; Takeda: Honoraria. Metheny: Pharmacosmos: Honoraria; Incyte: Speakers Bureau.

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Epigenetic Priming with Pre-Transplant Oral Panobinostat Followed By Post-Transplant Consolidation

Blood ◽

10.1182/blood-2021-151689 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 2917-2917

Author(s):

Ehsan Malek ◽

Mary Hislop ◽

Leland Metheny ◽

Molly Gallogly ◽

Brett Glotzbecker ◽

...

Keyword(s):

Research Funding ◽

Hdac Inhibitors ◽

Advisory Board ◽

Fixed Dose ◽

Multi Drug Resistance ◽

High Dose ◽

Cell Transplant ◽

Post Transplant ◽

Consolidation Phase ◽

High Dose Melphalan

Abstract Despite the rich armamentarium of novel agents that are available to treat multiple myeloma (MM), high dose melphalan (HDM) and stem cell transplant (SCT) remain an essential therapy that achieves long-term durable remissions. However, most patients relapse following HDM-SCT due to the persistence of minimal residual disease (MRD). Therefore, there remains an unmet clinical need to overcome chemoresistant MRD and potentially achieve a cure for MM patients. Here, we describe a phase Ib trial designed to epigenetically priming with pre-transplant oral panobinostat to increase MRD sensitivity to HDM-SCT. The contribution of dysregulated gene silencing to epigenomic alterations in cancer development provides a strong rationale for the use of epigenetic modulators, such as the histone deacetylase (HDAC) inhibitor panobinstat as anti-myeloma therapy. Access to DNA is primarily governed by chromatin structure such that its configuration is under control of histone acetylators and deacetylators. Inhibition of histone deacetylases weakens the histone-DNA bonds and decondenses chromatin, i.e., epigenetic priming, which potentially enhances sensitivity to melphalan. Pre-clinical studies have demonstrated a strong synergistic effect between panobionostat (LBH589) and melphalan in in vitro as well as in vivo studies utilizing patient-derived xenograph models, i.e., SCID-hu model of human MM, LAG-1(Sanchez et al. Leukemia research. March 2011). Furthermore, HDAC inhibitors suppress multi-drug resistance protein-1 (MRP1) and it can count as another mechanism of synergy for this class of drugs and alkylating agents in hematologic disorders (Tsubaki M. et al. Leukemia research. Oct 2012). Taken together, these studies support HDAC inhibitors in combination with melphalan to augment anti-myeloma efficacy of HDM-SCT. Here, we propose the combination through a pre-SCT epigenetic priming phase with high dose panobinostat and a post-SCT lower dose panobinostat consolidation phase (Study Schema). Trial design: We propose a Simon 3+3 design to test panobinostat at three dose levels of 20, 30 and 40 mg every other day for four doses prior to high dose melphalan as study schema illustrates. There will not be any intra-patient dose escalation. The study will be extended to another 15 patients at the maximum tolerated dose for the pre-SCT phase. All patients regardless of the pre-SCT panobinostat dose level will received fixed dose of Panobinostat. Primary and Secondary objectives and endpoints are listed in Table 1. Rationale for high dose panobinostat in epigenomic phase: Previous reports of HDACi combined with standard-dose chemotherapy (e.g., Ifosfomide, Carboplatin, and Etoposide for lymphoma or 7+3 for acute myeloid leukemia) had shown prolonged myelosuppression as the main adverse effect, but no significant increase in the non-hematological toxicities. Therefore, we predict the use of peripheral blood progenitor cells in the offered study has potential to circumvent the increased myelotoxicity associated with pre-SCT high dose panobinostat, and it may render the opportunity to test higher doses such as 40 mg every other day before SCT as epigenetic priming strategy. Rational for low dose panobinostat dosing for the consolidation phase: The Panobinostat consolidation design will follow the positive landmark trial by the Australian group (Mithraprabhu S. et al. British J. Hemat. Apr 2021). In their study panobinostat was given at 20 mg three times weekly on alternate weeks for 6 months started 8-12 weeks post-transplant was administered. Forty eight percent of patients improved their depth of response after a median range of 4.3 months of panobinostat. In responders, T lymphocyte histone acetylation increased after both three cycles and six cycles of panobinostat when compare to baseline, with no differences in no-responders. Figure 1 Figure 1. Disclosures Malek: Janssen: Other: Advisory board ; Bluespark Inc.: Research Funding; BMS: Honoraria, Research Funding; Amgen: Honoraria; Cumberland Inc.: Research Funding; Sanofi: Other: Advisory Board; Medpacto Inc.: Research Funding; Takeda: Honoraria. Metheny: Incyte: Speakers Bureau; Pharmacosmos: Honoraria. Stricker: Secura Bio: Current Employment. OffLabel Disclosure: Panobinostat has been used as single agent therapy before and after transplant in this trial.

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Increased Early Mortality after Fludarabine and Melphalan Conditioning with Peripheral Blood Grafts in Haploidentical SCT with Post-Transplant Cyclophosphamide

Blood ◽

10.1182/blood-2019-129872 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 4496-4496 ◽

Cited By ~ 1

Author(s):

Luke Eastburg ◽

David A. Russler-Germain ◽

Ramzi Abboud ◽

Peter Westervelt ◽

John F. DiPersio ◽

...

Keyword(s):

Bone Marrow ◽

Stem Cell ◽

T Cell ◽

Board Of Directors ◽

Research Funding ◽

Early Mortality ◽

Cell Transplant ◽

Advisory Committees ◽

Post Transplant ◽

Equity Ownership

The use of post-transplant cyclophosphamide (PTCy) in the context of haploidentical stem cell transplant (haplo-SCT) has led to drastically reduced rates of Graft-vs-Host (GvH) disease through selective depletion of highly allo-reactive donor T-cells. Early trials utilized a reduced-intensity Flu/Cy/TBI preparative regimen and bone marrow grafts; however, relapse rates remained relatively high (Luznik et al. BBMT. 2008). This led to the increased use of myeloablative (MA) regimens for haplo-SCT, which have been associated with decreased relapse rates (Bashey et al. J Clin Oncol. 2013). Most studies have used a MA total body irradiation (TBI) based regimen for haplo-SCT. Preparative regimens using fludarabine and melphalan (FluMel), with or without thiotepa, ATG, and/or low dose TBI have also been reported using bone marrow grafts. Reports on the safety and toxicity of FluMel in the haplo-SCT setting with PTCy and peripheral blood stem cell (PBSC) grafts are lacking. In this two-center retrospective analysis, the safety/toxicity of FluMel as conditioning for haplo-SCT was evaluated. We report increased early mortality and toxicity using standard FluMel conditioning and PBSC grafts for patients undergoing haplo-SCT with PTCy. 38 patients at the University of Rochester Medical Center and the Washington University School of Medicine underwent haplo-SCT with FluMel conditioning and PBSC grafts between 2015-2019. Outcomes were measured by retrospective chart review through July 2019. 34 patients (89.5%) received FluMel(140 mg/m2). Two patients received FluMel(100 mg/m2) and two patients received FluMel(140 mg/m2) + ATG. The median age at time of haplo-SCT was 60 years (range 21-73). 20 patients were transplanted for AML, eight for MDS, two for PMF, two for NHL, and five for other malignancies. The median Hematopoietic Cell Transplantation-specific Comorbidity Index (HCT-CI) score was 4 (≥3 indicates high risk). 11 patients had a history of prior stem cell transplant, and 16 patients had active disease prior to their haplo-SCT. Seven patients had sex mismatch with their stem cell donor. Median donor age was 42 (range 21-71). 20 patient deaths occurred by July 2019 with a median follow up of 244 days for surviving patients. Nine patients died before day +100 (D100, "early mortality"), with a D100 non-relapse mortality (NRM) rate of 24%. Median overall and relapse free survival (OS and RFS, respectively) were 197 days (95% CI 142-not reached) and 180 days (95% CI 141-not reached), respectively, for the entire cohort. The 1 year OS and NRM were 29% and 50%. The incidence of grades 2-4cytokine release syndrome (CRS) was 66%, and 52% of these patients were treated with tocilizumab. CRS was strongly associated with early mortality, with D100 NRM of 36% in patients with grade 2-4 CRS compared to 0% in those with grade 0-1. The incidence of acute kidney injury (AKI) was 64% in patients with grade 2-4 CRS, and 8% in those without (p < 0.001). 28% of patients with AKI required dialysis. Grade 2-4 CRS was seen in 54% of patients in remission prior to haplo-SCT and in 92% of those with active disease (p = 0.02). Of the 9 patients with early mortality, 89% had AKI, 44% needed dialysis, and 100% had grade 2-4 CRS, compared to 31%, 10%, and 55% in those without early mortality (p = 0.002, p = 0.02, p = 0.01). Early mortality was not significantly associated with age, HCT-CI score, second transplant, disease status at transplant, total dose of melphalan, volume overload/diuretic use, or post-transplant infection. In conclusion, we observed a very high rate of NRM with FluMel conditioning and PBSC grafts for haplo-SCT with PTCy. The pattern of toxicity was strongly associated with grade 2-4 CRS, AKI, and need for dialysis. These complications may be mediated by excessive inflammation in the context of allo-reactive donor T-cell over-activation. Consistent with this, multiple groups have shown that FluMel conditioning in haplo-SCT is safe when using bone marrow or T-cell depleted grafts. Based on our institutional experiences, we would discourage the use of FluMel as conditioning for haplo-SCT with PTCy with T-cell replete PBSC grafts. Alternative regimens or variations on melphalan-based regimens, such as fractionated melphalan dosing or inclusion of TBI may improve outcomes but further study and randomized controlled trials are needed. This study is limited in its retrospective design and sample size. Figure Disclosures DiPersio: WUGEN: Equity Ownership, Patents & Royalties, Research Funding; Karyopharm Therapeutics: Consultancy; Magenta Therapeutics: Equity Ownership; Celgene: Consultancy; Cellworks Group, Inc.: Membership on an entity's Board of Directors or advisory committees; NeoImmune Tech: Research Funding; Amphivena Therapeutics: Consultancy, Research Funding; Bioline Rx: Research Funding, Speakers Bureau; Macrogenics: Research Funding, Speakers Bureau; Incyte: Consultancy, Research Funding; RiverVest Venture Partners Arch Oncology: Consultancy, Membership on an entity's Board of Directors or advisory committees. Liesveld:Onconova: Other: Data safety monitoring board; Abbvie: Membership on an entity's Board of Directors or advisory committees.

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Non-Genetic Determinants of Clonotypic T Cell Expansion Following Allogeneic Stem Cell Transplant

Blood ◽

10.1182/blood-2021-146026 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 646-646

Author(s):

Albert Yeh ◽

Motoko Koyama ◽

Simone A Minnie ◽

Julie Boiko ◽

Kathleen S Ensbey ◽

...

Keyword(s):

T Cells ◽

T Cell ◽

Copy Number ◽

Research Funding ◽

Molecular Transport ◽

Cell Transplant ◽

Antigen Specificity ◽

Donor Pool ◽

Post Transplant ◽

Low Copy Number

Abstract Background: The immunologic basis of acute GVHD fundamentally involves alloreactive donor T cells that recognize foreign major histocompatibility complex (MHC)-peptide structures derived from both major and minor antigen mismatches with the host. Within this paradigm, the relationship between the donor and recipient genetics represents a closed system that dictates the potential ability of any given T cell receptor (TCR) to expand, raising the question of whether there are predictable aspects of TCR reconstitution at a clonal level. Take a hypothetical example - if genetically identical twins were to receive allogeneic grafts from the same donor and both recipients develop GVHD, would one expect similar TCRs to be clonally expanded? It has been challenging to rigorously explore this phenomenon, however, because of the vast combinatorial diversity of αβ TCRs, the high prevalence of low copy number TCRs, and sampling constraints - all of which render tracking and comparing TCR expansion between the donor and host difficult. Methods: We address these challenges in order to better understand the predictability TCR clonal dynamics through an analysis platform utilizing 1) a series of matched and mismatched murine transplant experiments where genetically identical littermates receive T cells from the same polyclonal donor pool, thus creating multiple transplant replicates simulating the twin transplant system describe above (Fig 1), and 2) probabilistic modeling of individual TCR frequencies to account for partitioning stochasticity (variation in how low copy number TCRs are distributed from donor to recipient). We conduct high-throughput DNA-based TCR amplicon sequencing for both donor and post-transplant recipient samples to generate over 20 million TCRs and model the expansion rates of all identifiable TCRs in each transplant system using a Bayesian approach. Results: While overall V and J gene usage were similar amongst identical recipients (Fig 2), we find that a small fraction of TCR clonotypes appears to have widely disparate clone counts amongst identical recipients receiving the same donor T cell pool. For example, we saw 9,739, 129 and 0 copies of a particular TCR in 3 different recipients in our B6->B6D2F1 system (Fig 3). In order to distinguish whether TCR count discrepancies seen across identical recipients is simply a reflection of donor partitioning stochasticity or true differential expansion (Fig 4), we apply a Bayesian algorithm to identify differential expanders, which represent TCRs that are asymmetrically expanded between recipients of a genetically identical pair (Fig 5). These TCRs can be generated from both memory and naïve T cell compartments. The presence of these differentially expanded clones amongst identical recipients suggests that non-genetic dependent mechanisms may influence which TCRs expand post-transplant. We next show that broad gut decontamination of microbiota with peri-transplant vancomycin, gentamicin, cefoxitin and metronidazole dramatically reduced the fraction of differential expanders (p<0.0001). However, the change in inflammation from microbiome depletion did not appear to drive this difference, as 1) MyD88/TRIF double knockout recipients (deficient TLR signaling) did not show a reduction in differential expanders, and 2) altering conditioning intensity (900cGy to 1300 cGy TBI) also did not change the fraction of differential expanders. Rather, the difference is likely antigenically driven, as differential expanders are enriched in antigen specificity compared to other TCR sequences (p<0.0001) based on published algorithm that identify TCRs with similar amino acid sequence overlap. Conclusions: These results refine our current understanding of clonal T cell selection and expansion after allogeneic BMT and suggests that for a given transplant system, individual TCR selection is not solely dictated by genetic donor and recipient major and/or minor histocompatibility disparities. Rather, microbiota-derived molecules appear to behave as minor antigens to direct systemic clonal TCR selection. These data suggest a novel mechanism by which the microbiome may modulate transplant outcome, challenging current paradigms suggesting the microbiota primarily drive inflammation via their PAMP activities. Figure 1 Figure 1. Disclosures Hill: Applied Molecular Transport: Research Funding; Syndax Pharmaceuticals: Research Funding; Compass Therapeutics: Research Funding; NapaJun Pharma: Consultancy; Generon corporation: Consultancy; iTeos Therapeutics: Consultancy, Research Funding; Neoleukin Therapeutics: Consultancy; Roche: Research Funding.

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Impact of Peri-Transplant Molecular Mutations on Outcomes of AML Patients Undergoing Fludarabine/Melphalan Conditioned Allogeneic Stem Cell Transplant

Blood ◽

10.1182/blood-2021-149297 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 4833-4833

Author(s):

Mateo Mejia Saldarriaga ◽

Yassine Tahri ◽

Sangmin Lee ◽

Zhengming Chen ◽

Tsiporah B. Shore ◽

...

Keyword(s):

Multivariate Analysis ◽

Stem Cell ◽

Board Of Directors ◽

Research Funding ◽

Stem Cell Transplant ◽

Cell Transplant ◽

Allogeneic Stem Cell Transplant ◽

Advisory Committees ◽

Post Transplant ◽

Idh Mutations

Abstract Introduction: Acute myeloid leukemia (AML) is heterogenous disease with a range of cytogenetic and molecular changes. Several molecular mutations identified in AML patients at diagnosis have prognostic implications and play important roles in guiding induction and consolidative treatment decisions. The prognostic impact of mutations peri allogeneic stem cell transplant are less well characterized. In this study, we examine the significance of pre and by D100 Post-transplant mutation status in AML patients underwent Fludarabine/Melphalan conditioned reduced intensity allogeneic stem cell transplant (SCT). Methods: AML patients who are in morphologic complete remission (CR1 or greater) with available molecular mutation at diagnosis, within 6 weeks prior to allogeneic SCT, and by 100 days post-transplant were included. Variables analyzed included baseline demographics, clinical variables (CIBMTR disease risk index (DRI), type of transplant, ELN risk, performance status) and 23 recurring molecular mutations. Analysis was also performed by grouping mutations into six pre-defined gene groups based on gene function (Table 2). Multivariable cox regression analysis was adjusted for age, gender, DRI and molecular mutation. Backward selection method was used to select the best combination of genes that is associated with overall survival (OS) and relapse-free survival (RFS). Results : A total of 142 AML patients with molecular genetic data available from 2014 to June, 2020 at Weill Cornell Medicine/New York Presbyterian Hospital were analyzed. Clinical characteristics of the patients are summarized in Table 1. The median age was 58 years (range 20 -78). Total of 261 mutations were detectable at diagnosis (Table 3). Prior to allo SCT and by D100, the detectable mutations were 87 and 40 respectively, which represent 56 and 26 patients. High-dose chemotherapy was less effective on clearing DNMT3A, ASXL1, TET2 (DAT) or IDH mutations, resulting in over-representation of DAT and IDH mutations prior to transplant. With a median follow-up time of 25 months, the median overall survival for the group was 40.8 months. The presence of mutations in TP53 at diagnosis was associated with worse OS by both univariate (HR 3.67, p=0.0030, CI 1.56-8.68) and multivariate analysis (HR 4.75, p=0.0014, CI 1.82-12.39) with median OS reduced from 49.3 to 19.3 months (p=0.002). High CIBMTR DRI (HR 0.17, p=0.0018, CI 0.05-0.51) predicted reduced OS and RFS, and Age >60 at diagnosis was associated with worse OS (HR 1.7 CI 1.04-3, p 0.03). Presence of any molecular mutation prior to transplant did not impact OS or RFS. For patients with any persistent mutations by D100 post-transplant, both OS ( HR 2.04, p 0.027, CI 1.08-3.8) and RFS (HR 1.99, p 0.025, CI 1.09-3.6,) were reduced in the univariate analysis, but not on multivariate analysis (HR 1.88, p 0.5, CI 0.99-3.49). Analysis based on six mutational groups (table 2) did not show any difference in their OS or RFS. However, worse RFS was independently associated with persistent IDH1 (HR 3.8, p 0.004, CI 1.07-56,), TET2 (HR 3.9, P 0.04, CI 1.04-14.1), and FLT3-ITD (HR 4.5, p 0.01, CI 1.7-52). Worse OS was independently associated with persistent TET2 (HR 3.9, p 0.013, CI 1.04-14.1), with a trend towards worse OS for IDH1, FLT3-ITD, with a trend towards worsening OS and RFS for ASXL1 (OS HR 7.4, p 0.06, CI 0.86 -63; RFS HR 4.9, p 0.06, CI 0.9-26) and DNMT3A (OS HR 2.3, p 0.12, CI 0.86-6.9; RFS 2.9, p 0.08, CI 0.98-8). Association with worse clinical outcomes remained significant after multivariate analysis for TET2 (both OS HR 3.98 p 0.041, CI1.07- 32 and RFS HR 5.8, p 0.032, CI 1.1- 29), IDH1 (RFS HR 8.02, p 0.049, CI 1.02 - 65) and FLT3-ITD (RFS HR 11.4, p0.010, CI 2.2- 80). Conclusions: Presence of TP53 mutations was associated with worse OS. Presence of pre-transplant mutation did not impact RFS or OS. Persistent presence of mutations in TET2, IDH1 and FLT3-ITD after Fludarabine/melphalan conditioning regimen allogeneic SCT were associated with shorter RFS and OS (in the case of TET2) independent of CIBMTR DRI. This analysis supports association of adverse outcomes in AML patients with selected persistent mutations by D100 post-transplant in reduced intensity transplant setting. Post-transplant strategies that can further eliminate persistent mutations should be investigated in prospective studies. Figure 1 Figure 1. Disclosures Lee: Pin Therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Innate: Consultancy, Membership on an entity's Board of Directors or advisory committees; BMS: Consultancy, Membership on an entity's Board of Directors or advisory committees; AstraZeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees. Desai: Kura Oncology: Consultancy; Bristol Myers Squibb: Consultancy; Agios: Consultancy; Takeda: Consultancy; Janssen R&D: Research Funding; Astex: Research Funding. Ritchie: Protaganist: Consultancy, Honoraria; Incyte: Consultancy, Honoraria, Speakers Bureau; Celgene/BMS: Consultancy, Other: travel support, Speakers Bureau; Bristol Myers Squibb: Consultancy, Research Funding; ARIAD Pharmaceuticals: Ended employment in the past 24 months, Speakers Bureau; Novartis: Consultancy, Honoraria, Other: travel support, Research Funding, Speakers Bureau; Takeda: Consultancy, Honoraria; Astellas: Consultancy, Research Funding; NS Pharma: Research Funding; Abbvie: Consultancy, Honoraria; Jazz: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding. Roboz: MEI Pharma - IDMC Chair: Consultancy; Daiichi Sankyo: Consultancy; Helsinn: Consultancy; Jazz: Consultancy; Bristol Myers Squibb: Consultancy; Glaxo SmithKline: Consultancy; Novartis: Consultancy; Janssen: Consultancy; Otsuka: Consultancy; Celgene: Consultancy; Mesoblast: Consultancy; Blueprint Medicines: Consultancy; Jasper Therapeutics: Consultancy; AbbVie: Consultancy; Actinium: Consultancy; Agios: Consultancy; Amgen: Consultancy; Astex: Consultancy; Astellas: Consultancy; AstraZeneca: Consultancy; Bayer: Consultancy; Janssen: Research Funding; Pfizer: Consultancy; Roche/Genentech: Consultancy.

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Comparison of the Impact of Pre-Transplant Co-Morbidity Scores on Allogeneic Hematopoietic Stem Cell Transplant Outcomes

Blood ◽

10.1182/blood-2018-99-113884 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 4670-4670

Author(s):

Mohammed A. Marei ◽

Eshetu G Atenafu ◽

Arjun Law ◽

Wilson Lam ◽

Rajat Kumar ◽

...

Keyword(s):

Cell Transplantation ◽

Research Funding ◽

Hematopoietic Cell Transplantation ◽

Hematopoietic Cell ◽

Cell Transplant ◽

Post Transplant ◽

Transplant Outcomes ◽

C Statistic ◽

Co Morbidity ◽

The Impact

Abstract Introduction: Allogeneic hematopoietic cell transplantation (allo-HCT) is potentially curative for the treatment of various hematological diseases, in part due to the effect of conditioning chemotherapy, and in part due to graft-versus-malignancy effect. However, alloHCT is associated with significant morbidity and mortality. Multiple co-morbidity indices have been published in the literature for the purpose of pre-transplant risk assessment. The purpose of the presented study is to assess a number of these pre-transplant scores on a single-center transplant population and to determine the score with improved risk stratification ability using concordance statistics. Methods: We investigated the impact of the prospectively collected Hematopoietic Cell Transplantation-Comorbidity Index (HCT-CI) on post-transplant outcomes for 243 recipients of allo-HCT performed between August 2014 and October 2016 at the Princess Margaret Cancer Center (Toronto, Canada), and compared this score to other pre-transplant scores including the age-adjusted HCT-CI, PAM score (Pre-transplant Assessment of Mortality Score) and the Disease Risk Index (DRI). Partitioning of the HCT-CI, HCT-CI/age and PAM scores into three groups was performed based on maximum significant differences on univariate analysis for overall survival (OS). Concordance statistics were used to compare the stratification power of the scores. Statistical analyses were performed using SAS version 9.4 (SAS Institute, Inc, Cary, NC). Results: The median age at transplant is 56 years, patients were transplanted for AML (53%), ALL (7.5%), MDS (13.5%), MPN (14%), NHL/CLL (8.5%) and (3.5%) AA. Donors were matched related in 37%, unrelated in 59% and haploidentical in 3% of the patients. Reduced intensity conditioning chemotherapy was used in 132 patients (54%), 153 patients (63%) received in-vivo T-cell depletion by using Campath or ATG, both donor and recipient were CMV negative in 48 (20%) of the patients. DRI was high in 67 (29%), intermediate in 145 (62%) and low in 22 (9%) of patients. HCT-CI was 0 in 90 (37%), 1 in 49(21%) and ≥2 in 103 (43%) of patients. HCT-CI/age was 0 in 22 (10%), 1 in 72 (30%) and ≥2 in 148 (62%). PAM score was 1-17 in 157(68%), 18-24 in 70 (30%) and 25-27 in 7 (3%) of patients. Median follow up of survivors was 28 months (range 17-44 months). OS of the entire cohort was 51% and 43% at 2 and 5 years post-transplant respectively. Cumulative incidence of relapse (CIR) was 19% at 2 years. For OS, as grouped above, the DRI did not demonstrate a significant difference between groups (p=0.77). For HCT-CI, p=0.034 (Figure 1), for HCT-CI/age p=0.02 and for the PAM score p=0.38. For OS, for the DRI, the C-statistic was 0.51 (se=0.03, 95%CI 0.45-0.57). For the PAM score, C-statistic was 0.51 (se=0.02,95%CI 0.45-0.56). For the HCT-CI age, C-statistic was 0.56 (se=0.024, 95%CI 0.51-0.61). For the HCT-CI, C-statistic was 0.56 (se 0.02, 95% CI 0.50-0.61). For CIR, the PAM score demonstrated a superior C-statistic of 0.56 (se=0.06, 95%CI 0.44-0.67) compared to the other scores. For NRM, the HCT-CI score (Figure 2, p=0.039) is superior with C-statistic 0.56 (se=0.04, 95%CI=0.49-0.63). Conclusion: Based on the above described analysis, the original HCT-CI score as described by Sorror et aldemonstrates superior prognostic stratification ability for OS and NRM in our patient cohort compared to other scores. Further investigation for the development of an optimal risk scoring system for allogeneic HCT is required. Figure 1. Figure 1. Disclosures Kim: Paladin: Consultancy; Pfizer: Consultancy; Novartis: Consultancy, Honoraria, Research Funding; BMS: Consultancy, Honoraria, Research Funding. Lipton:Novartis: Consultancy, Honoraria, Research Funding; Pfizer: Consultancy, Honoraria, Research Funding; BMS: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Research Funding.

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High-Dose Chemotherapy (HDC) with Autologous Stem-Cell Transplant (ASCT) with Consolidative Radiation Therapy (RT) for Relapsed or Refractory (R/R) Primary Mediastinal B-Cell Lymphoma (PMBCL): 20-Year Experience at MD Anderson Cancer Center (MDACC)

Blood ◽

10.1182/blood-2020-134471 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 32-33

Author(s):

Neeraj Saini ◽

Junsheng Ma ◽

Melissa Timmons ◽

Amin M. Alousi ◽

Paolo Anderlini ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

B Cell Lymphoma ◽

Advisory Board ◽

Older Age ◽

Long Term Results ◽

Cell Transplant ◽

Research Support ◽

Advisory Committees ◽

Grant Support

Background Most PMBCL pts are cured with frontline chemoimmunotherapy ± RT. Data are scant regarding the role of HDC/ASCT for R/R PMBCL, and the benefit of RT administered peri-HDC/ASCT. Our institutional approach has focused on developing potentially more active HDC regimens, and on consideration of post-ASCT consolidation RT, especially for pts who had not achieved a CR at the time of HDC. Methods We retrospectively analyzed all patients (pts) with R/R PMBCL treated with HDC/ASCT at MDACC between 01/01/2000-12/31/2019. All pts underwent similar standard pre-SCT evaluation and met eligibility criteria as per our institutional guidelines. Response assessment differed over time and included CT and gallium scan (N=9) and PET/CT (N=49). Cox proportional hazards regression models evaluated the associations of the specific HDC regimen and clinical covariates of interest with EFS and OS. Results 58 pts received HDC/ASCT with BEAM-rituximab (N=36) or rituximab/gemcitabine/busulfan/melphalan ± vorinostat (R-GemBuMel) (n=22) (Table 1). The R-GemBuMel group included more pts pretreated with >2 lines of therapy than the R-BEAM group (55% vs. 28%, p=0.025), had fewer pts in CR (41% vs. 69%, P=0.01) and more pts in PD/SD at ASCT (32% vs. 3%, P=0.01). Prior RT at a median 44 (36-48) Gy was administered to 29 pts (20 R-BEAM, 9 R-GemBuMel, P=0.27). Nineteen pts (89% not in CR at SCT) who had not previously received full doses of RT received post-SCT RT (6 after BEAM, 13 after R-GemBuMel, P<0.001) at median 40 Gy (36-48). There were 2 treatment-related deaths in the R-BEAM arm, none in the R-GemBuMel arm. At median follow-up of 69.1 months (interquartile range, 36.5-85.2), the EFS rates were 57.6% (overall), 67.6% (R-GemBuMel) and 52.7% (R-BEAM) (Figure 1a). Their respective OS rates were 69.3%, 81.1% and 63.9% (Figure 1b). On multivariable Cox regression analyses, R-GemBuMel (vs. R-BEAM) (HR=0.29, p=0.05), and 1 organ involved (vs. >1) (HR 0.28, p=0.009) were associated with improved EFS, whereas older age (HR= 1.08 per year above median, p=0.005), refractory disease (SD/PD) at SCT (vs. CR/PR) (HR 5.44, p=0.01) correlated with worse EFS. Likewise, R-GemBuMel (HR= 0.16, p=0.03) and 1 organ involved (HR=0.17, p=0.004) significantly resulted in improved OS, whereas older age (HR= 1.11, p=0.002), and refractory (SD/PD) disease at SCT (HR= 21.27, p=0.001) correlated with worse OS. Neither sex nor disease status (primary refractory vs. relapse) nor No. prior lines (2 vs. >2) nor pre-SCT RT nor post-SCT RT correlated significantly with EFS or OS. Conclusions HDC/ASCT for R/R PMBCL pts, with post-SCT RT for pts with active disease at SCT, results in favorable long-term results. R-GemBuMel ± vorinostat seems to improve EFS and OS compared to R-BEAM. Disclosures Alousi: Incyte: Honoraria, Research Funding; Therakos: Research Funding; Alexion: Honoraria. Hosing:NKARTA Inc.: Consultancy. Kebriaei:Amgen: Other: Research Support; Ziopharm: Other: Research Support; Kite: Other: Served on advisory board; Pfizer: Other: Served on advisory board; Jazz: Consultancy; Novartis: Other: Served on advisory board. Popat:Bayer: Research Funding; Novartis: Research Funding. Qazilbash:Angiocrine: Research Funding; Bioline: Research Funding; Janssen: Research Funding; Bioclinica: Consultancy; Amgen: Research Funding. Shpall:Zelluna: Membership on an entity's Board of Directors or advisory committees; Adaptimmune: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Magenta: Membership on an entity's Board of Directors or advisory committees; Takeda: Other: Licensing Agreement. Champlin:Takeda: Patents & Royalties; Genzyme: Speakers Bureau; Cytonus: Consultancy; Omeros: Consultancy; Actinium: Consultancy; Johnson and Johnson: Consultancy; DKMS America: Membership on an entity's Board of Directors or advisory committees. Nieto:Affimed: Consultancy, Other: Grant Support; Novartis: Other: Grant Support; Astra Zeneca: Other: Grant Support; Secura Bio: Other: Grant Support.

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Correlations between Pre-Transplant Treatment and Bone Marrow Response with Post-Transplant Outcomes in Patients with Myelodysplastic Syndrome Undergoing Allogeneic Stem Cell Transplantation

Blood ◽

10.1182/blood-2018-99-118366 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 4391-4391

Author(s):

Pinkal Desai ◽

Alfadel Alshaibani ◽

Xian Wu ◽

Sangmin Lee ◽

Jingmei Hsu ◽

...

Keyword(s):

Bone Marrow ◽

Stem Cell ◽

Stable Disease ◽

Research Funding ◽

Cytogenetic Response ◽

P Value ◽

Cell Transplant ◽

Allogeneic Transplant ◽

Transplant Survival ◽

Post Transplant

Abstract Background: Allogeneic stem cell transplant remains the only curative modality for myelodysplastic syndrome (MDS), yet there is significant controversy and individual practice variation in offering pre-transplant therapy with the goal of reducing disease burden and/or improving marrow function. In this study, we analyze the impact of bone marrow response prior to transplant on the post-transplant overall survival and relapse. Methods: We collected data from 2007 to 2018 from patients undergoing allogeneic transplant for MDS at Weill Cornell Medicine. Patients with MDS transformed to AML were excluded. P values for survival analyses were derived from Cox models. All statistical tests were 2 sided with 0.05 alpha levels. Results: We analyzed 85 patients who underwent an allogeneic stem cell transplant for MDS and had all pertinent data available. Response to pre-transplant treatment was not a pre-requisite for proceeding to transplant. The donor source was MUD, MRD and cord blood in 40%, 37.65%, and 22.35% of patients, respectively. Median age at the time of transplant was 61 years (32.94% females). IPSS-R at diagnosis was low, intermediate, high and very high-risk in 12.94 %, 31.76 %, 24.71% and 30.59% of patients, respectively. Most (80%) patients were treated with hypomethylating agents (HMA) prior to transplant. Within 2 months of transplant, 27.06% of patients achieved CR, with 8% cytogenetic response. Hematological improvement (HI) only (without marrow CR), marrow CR and stable disease/no response were seen in 9.41%, 18.83% and 42.35% of patients, respectively. Bone marrow blasts were 0-5%, 5-10% and 11-19% in 77.5%, 18.75% and 3.75% of patients pre-transplant, respectively. Median overall survival after transplant was 28.6 months (range 14.9-48.5). 90-day transplant related mortality was 10.7 %. One-year survival after transplant was 65.7%; with a relapse rate of 30.6% at median follow up of 12 months. The incidence of grade 3 and 4 GVH of any kind was 33.33%. Using univariate models, age at transplant (HR 1.049, 95% C.I. 1.017-1.083, p value 0.002) and a high IPSS-R (p value.004) at diagnosis were associated with inferior post-transplant survival, while gender and use of HMA prior to transplant did not impact post-transplant survival. In multivariate cox regression analyses adjusting for other confounding variables, achieving a CR or HI was significantly associated with higher post-transplant survival, compared to stable disease/no response prior to transplant (HR 0.46, 95% C.I. 0.23-0.90, p value 0.02). Achievement of a marrow CR resulted in a trend toward higher post-transplant OS (HR 0.45, 95% C.I. 0.18-1.09, p value 0.07). Pre- transplant blast percentage (<5, 5-10 or >10%) or cytogenetic response only (without CR) did not impact survival outside the presence of a CR. In the multivariate models IPSS-R very high risk at baseline (HR 4.75, 95% C.I. 1.81-12.43, p value 0.001) was associated with reduced post-transplant OS compared to low risk. There was no association between the types of marrow response on RFS post-transplant. Of note, among 34 patients with baseline mutations in ASXL1, ETV6, EZH2, RUNX1 and TP53, mutation clearance at the time of transplant was observed in only 6/34 (17.6%) patients. The presence of a mutation in any of these 5 genes prior to transplant did not impact RFS (HR 1.12, 95% C.I. 0.38-3.26, p value 0.04) or OS (HR 3.09, 95% C.I. 0.86-11.11, p value 0.08). However, we were not able to assess the effect of individual mutations (e.g. TP53) due to small numbers. We did not see an effect of GVHD type (acute or chronic) or grade on RFS or OS. Conclusions: Achievement of CR or hematological improvement (HI) prior to allogeneic transplant was associated with superior survival post-transplant, while marrow CR and cytogenetic response did not impact post-transplant survival any different than going into allogeneic transplant with stable disease/no response. IPSS R score at diagnosis was associated with inferior post-transplant survival. The presence of mutations in ASXL1, ETV6, EZH2, RUNX1 or TP53 genes prior to transplant did not appear to impact OS or RFS post-transplant, but the total numbers were small. Although CR or HI after pre-transplant treatment improved OS post-transplant, only one third of patients achieved these responses prior to transplant. Better MDS directed treatments and conditioning regimens are needed to improve outcomes after allogeneic transplantation. Figure. Figure. Disclosures Desai: Cellerant Inc: Consultancy; Argenx: Consultancy. Lee:LAM Therapeutics: Research Funding; AstraZeneca: Consultancy; Karyopharm Therapeutics Inc: Consultancy; Amgen: Consultancy; Clinipace: Consultancy. Ritchie:Novartis: Consultancy, Other: Travel, Accommodations, Expenses, Research Funding, Speakers Bureau; Astellas Pharma: Research Funding; Pfizer: Consultancy, Research Funding; Incyte: Consultancy, Speakers Bureau; NS Pharma: Research Funding; ARIAD Pharmaceuticals: Speakers Bureau; Bristol-Myers Squibb: Research Funding; Celgene: Consultancy, Other: Travel, Accommodations, Expenses, Speakers Bureau. Roboz:Orsenix: Consultancy; AbbVie: Consultancy; Sandoz: Consultancy; Roche/Genentech: Consultancy; Celltrion: Consultancy; Aphivena Therapeutics: Consultancy; Otsuka: Consultancy; Bayer: Consultancy; Celltrion: Consultancy; Argenx: Consultancy; Sandoz: Consultancy; Argenx: Consultancy; Novartis: Consultancy; Pfizer: Consultancy; Daiichi Sankyo: Consultancy; Eisai: Consultancy; Cellectis: Research Funding; Cellectis: Research Funding; Janssen Pharmaceuticals: Consultancy; AbbVie: Consultancy; Eisai: Consultancy; Novartis: Consultancy; Bayer: Consultancy; Astex Pharmaceuticals: Consultancy; Aphivena Therapeutics: Consultancy; Pfizer: Consultancy; Daiichi Sankyo: Consultancy; Celgene Corporation: Consultancy; Roche/Genentech: Consultancy; Otsuka: Consultancy; Jazz Pharmaceuticals: Consultancy; Astex Pharmaceuticals: Consultancy; Celgene Corporation: Consultancy; Janssen Pharmaceuticals: Consultancy; Orsenix: Consultancy; Jazz Pharmaceuticals: Consultancy.

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Updated Results of a Randomized Phase II Trial of Idarubicin and Cytarabine with Clofarabine or Fludarabine in Patients with Newly Diagnosed Acute Myeloid Leukemia

Blood ◽

10.1182/blood.v128.22.1067.1067 ◽

2016 ◽

Vol 128 (22) ◽

pp. 1067-1067

Author(s):

Nicholas J. Short ◽

Farhad Ravandi ◽

Xuelin Huang ◽

Jorge E. Cortes ◽

Naveen Pemmaraju ◽

...

Keyword(s):

Acute Myeloid Leukemia ◽

Myeloid Leukemia ◽

Research Funding ◽

Advisory Board ◽

Cell Transplant ◽

Newly Diagnosed ◽

Historical Cohort ◽

To Receive ◽

Acute Myeloid

Abstract Background: Fludarabine and clofarabine are purine nucleoside analogues with established clinical activity in acute myeloid leukemia (AML). We sought to evaluate the relative safety and efficacy of idarubicin and cytarabine with either clofarabine (CIA) or fludarabine (FAI) in adult patients (pts) with newly diagnosed AML. Methods: Adult pts ≤60 years of age with newly diagnosed non-APL AML were randomized using a Bayesian adaptive design to receive either CIA or FAI. All pts received induction with idarubicin 10 mg/m2 IV daily on days 1-3 and cytarabine 1000 mg/m2 IV daily for on days 1-5. Pts in the CIA arm also received clofarabine 15 mg/m2 IV daily on days 1-5; pts in the FAI arm received fludarabine 30 mg/m2 IV daily on days 1-5. Responding pts could receive up to 6 cycles of consolidation with attenuated doses of the same drug combination. The primary endpoint was to compare the event-free survival (EFS) of CIA and FAI. Secondary endpoints included the CR/CRp rates, overall survival (OS) and the safety of the regimens. Results: Between 8/2011 and 6/2016, 182 pts have been randomized to receive either CIA (n=106) or FAI (n=76). Baseline characteristics of the 2 arms were well-balanced and are summarized in Table 1. Response rates are summarized in Table 2. Of the 180 pts evaluable for response, the CR/CRp rate was similar in the CIA and FAI arms (80% and 81%, respectively). However, the rate of MRD negativity by multiparameter flow cytometry at the time of CR/CRp was significantly higher in pts who received CIA than in those who received FAI (80% vs. 64%, respectively, P<0.05). Rates of stem cell transplant (SCT) in first remission were similar in the two arms (35% vs. 38%, respectively). The median duration of follow-up was 27 months. The median EFS and OS for the entire cohort were 12 months and 39 months, respectively. The median EFS was similar in the CIA and FAI arms (13 months and 12 months, respectively, P=0.91). The imbalance in sample size between these two arms was caused by better performance of the CIA arm during the initial period of the trial, although the difference largely disappeared after further follow-up. There was also no difference in OS between the two regimens; the 2-year OS rates were 51% and 57%, respectively (P=0.24). No difference in survival was observed if pts were censored at the time of SCT. Overall, treatment was safe with 8-week mortality rates of 4% in the CIA arm and 1% in the FAI arm. When compared to a historical cohort of pts treated with idarubicin and cytarabine (IA) alone, the triplet regimen (pooled population of CIA + FAI) resulted in improved EFS and OS among a subgroup of patients <40 years of age. In this group of younger patients, the median EFS for CIA/FAI (n=38) and IA (n=16) were 25 months and 9 months, with a 2-year EFS rate of 52% and 33% respectively (P=0.27). There was also a strong trend towards superior OS in the CIA/FAI compared to the IA groups (median OS: not reached vs. 20 months; 2-year OS rate 68% vs. 47%; P=0.08). Conclusions: In adult pts with newly diagnosed AML, CIA and FAI resulted in similar rates of CR/CRp and had similar EFS and OS. Compared to a historical cohort of pts treated with IA alone, the addition of a nucleoside analogue appears to result in superior EFS and OS in younger pts. Disclosures Cortes: ARIAD: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Teva: Research Funding. Daver:Ariad: Research Funding; BMS: Research Funding; Pfizer: Consultancy, Research Funding; Otsuka: Consultancy, Honoraria; Kiromic: Research Funding; Karyopharm: Honoraria, Research Funding; Sunesis: Consultancy, Research Funding. Jain:Novimmune: Consultancy, Honoraria; Infinity: Research Funding; Abbvie: Research Funding; Genentech: Research Funding; Seattle Genetics: Research Funding; Celgene: Research Funding; Servier: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria, Research Funding; BMS: Research Funding; Incyte: Research Funding; Novartis: Consultancy, Honoraria; ADC Therapeutics: Consultancy, Honoraria, Research Funding; Pharmacyclics: Consultancy, Honoraria, Research Funding. Konopleva:Calithera: Research Funding; Cellectis: Research Funding. Wierda:Acerta: Research Funding; Novartis: Research Funding; Gilead: Research Funding; Genentech: Research Funding; Abbvie: Research Funding. DiNardo:Novartis: Other: advisory board, Research Funding; Daiichi Sankyo: Other: advisory board, Research Funding; Agios: Other: advisory board, Research Funding; Abbvie: Research Funding; Celgene: Research Funding. O'Brien:Janssen: Consultancy, Honoraria; Pharmacyclics, LLC, an AbbVie Company: Consultancy, Honoraria, Research Funding. Jabbour:ARIAD: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; Novartis: Research Funding; BMS: Consultancy.

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Myeloablative Fractionated Busulfan Conditioning Regimen with Sorafenib in Patients with AML: Results of Phase I Clinical Trial

Blood ◽

10.1182/blood-2021-152450 ◽

2021 ◽

Vol 138 (Supplement 1) ◽

pp. 556-556

Author(s):

Uday R. Popat ◽

Roland Bassett ◽

Peter F. Thall ◽

Amin M. Alousi ◽

Gheath Alatrash ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

Conditioning Regimen ◽

Advisory Board ◽

License Agreement ◽

Advisory Committees ◽

Post Transplant ◽

Scientific Advisory Board ◽

Scientific Advisory

Abstract Background: Myeloablative conditioning can be given safely to older patients by administering busulfan over a longer period (fractionated busulfan regimen) than the standard four-day regimen. (Popat, et al Lancet Haematology 2018). This longer conditioning regimen duration allows the addition of oral targeted agents like sorafenib, which may be synergistic with conditioning chemotherapy and thus further improve disease control. Therefore, we added sorafenib to fludarabine and fractionated busulfan regimen (f-bu) in a phase 1 dose-finding trial studying 4 different doses of sorafenib with f-bu (NCT03247088). Here we report the results of this trial. Methods: Between 3/2018 and 6/2021, 24 patients with AML aged 18 to 70 years with adequate organ function and 8/8-HLA matched related or unrelated donors were enrolled prospectively. The dose of sorafenib was varied among the four values 200, 400, 600, and 800 mg administered from day -24 to -5. Dose-limiting toxicity (DLT) was defined as grade 3 or higher regimen-related non-hematologic, non-infectious, non-GVHD toxicity occurring between day -24 and day 3. The Bayesian Model Averaging Continual Reassessment Method (BMA-CRM) with target DLT probability 0.30 was used to choose doses for successive cohorts of 3 patients. The first cohort was treated at the lowest sorafenib dose 200, with all successive cohorts' doses chosen adaptively by the BMA-CRM. The doses and schedules of busulfan and fludarabine were fixed, with f-Bu dose targeting an area under the concentration vs time curve (AUC) of 20,000 ± 12% μmol.min given over 3 weeks. The first two doses of busulfan (80 mg/m2 IV each) were administered on days -20 and -13 on an outpatient basis. The last four Bu doses were calculated to give a total course AUC of 20,000 ± 12% μmol.min and were given as inpatient following each dose of Flu 40 mg/m2 on days -6 through -3. GVHD prophylaxis was post-transplant cyclophosphamide (PTCy) 50mg/kg on days 3 and 4 and tacrolimus. Recipients of unrelated donor grafts also received MMF. All patients were eligible to receive post-transplant maintenance sorafenib after engraftment. Results: The median age was 52 years (range, 30-70). Disease status was CR in 16 (66.6%) patients, CRi in 5 (20.8%), and advanced in 3 (12.5%). Adverse risk karyotype was present in 10 (41.7%) patients. MRD was present in 13 (54.2%). 9 (38%) had mutated flt3. The donor was unrelated in 14 (58%), and peripheral blood stem cells were the graft source in 21(87.5%). Due to the absence of DLTs, the BMA-CRM assigned 200mg, 400mg, 600mg, and 800mg of sorafenib, respectively, to the first 4 cohorts, and the next 4 cohorts were given 800mg. Only 2 dose-limiting skin toxicities were seen, one in cohort 3 with 600mg of sorafenib and the second in cohort 6 with 800mg of sorafenib. 800mg was the final recommended phase 2 dose. The median follow-up in 20 surviving patients was 7.6 months and 1-year progression free survival was 89% (95% CI 75-100%). Other outcomes are summarized in Table 1. Conclusion: Sorafenib can be safely added to the fractionated busulfan regimen. Early data on efficacy appear promising, with an 89% PFS at 1 year of follow up. Figure 1 Figure 1. Disclosures Popat: Bayer: Research Funding; Abbvie: Research Funding; Novartis: Research Funding; Incyte: Research Funding. Hosing: Nkarta Therapeutics: Membership on an entity's Board of Directors or advisory committees. Rezvani: Bayer: Other: Scientific Advisory Board ; AvengeBio: Other: Scientific Advisory Board ; Navan Technologies: Other: Scientific Advisory Board; GSK: Other: Scientific Advisory Board ; Virogin: Other: Scientific Advisory Board ; Affimed: Other: License agreement and research agreement; education grant, Patents & Royalties, Research Funding; Pharmacyclics: Other: Educational grant, Research Funding; Caribou: Other: Scientific Advisory Board; GemoAb: Other: Scientific Advisory Board ; Takeda: Other: License agreement and research agreement, Patents & Royalties. Qazilbash: Bristol-Myers Squibb: Other: Advisory Board; Biolline: Research Funding; Amgen: Research Funding; Oncopeptides: Other: Advisory Board; NexImmune: Research Funding; Angiocrine: Research Funding; Janssen: Research Funding. Daver: Daiichi Sankyo: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; ImmunoGen: Consultancy, Research Funding; Astellas: Consultancy, Research Funding; Genentech: Consultancy, Research Funding; Gilead Sciences, Inc.: Consultancy, Research Funding; Trillium: Consultancy, Research Funding; Glycomimetics: Research Funding; Abbvie: Consultancy, Research Funding; Hanmi: Research Funding; Bristol Myers Squibb: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding; FATE Therapeutics: Research Funding; Sevier: Consultancy, Research Funding; Novimmune: Research Funding; Trovagene: Consultancy, Research Funding; Novartis: Consultancy; Jazz Pharmaceuticals: Consultancy, Other: Data Monitoring Committee member; Dava Oncology (Arog): Consultancy; Celgene: Consultancy; Syndax: Consultancy; Shattuck Labs: Consultancy; Agios: Consultancy; Kite Pharmaceuticals: Consultancy; SOBI: Consultancy; STAR Therapeutics: Consultancy; Karyopharm: Research Funding; Newave: Research Funding. Ravandi: Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol Myers Squibb: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Jazz: Honoraria, Research Funding; Amgen: Honoraria, Research Funding; AstraZeneca: Honoraria; Novartis: Honoraria; Xencor: Honoraria, Research Funding; Taiho: Honoraria, Research Funding; Astex: Honoraria, Research Funding; AbbVie: Honoraria, Research Funding; Agios: Honoraria, Research Funding; Prelude: Research Funding; Syros Pharmaceuticals: Consultancy, Honoraria, Research Funding. Shpall: Magenta: Consultancy; Bayer HealthCare Pharmaceuticals: Honoraria; Magenta: Honoraria; Adaptimmune: Consultancy; Novartis: Consultancy; Navan: Consultancy; Novartis: Honoraria; Takeda: Patents & Royalties; Affimed: Patents & Royalties; Axio: Consultancy. Mehta: CSLBehring: Research Funding; Kadmon: Research Funding; Syndax: Research Funding; Incyte: Research Funding.

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Daratumumab, Ixazomib, Lenalidomide, and Dexamethasone for Newly Diagnosed Multiple Myeloma

Blood ◽

10.1182/blood-2020-139372 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 36-37

Author(s):

Shaji K. Kumar ◽

Prashant Kapoor ◽

Betsy Laplant ◽

Liang Phuong-Dung ◽

Eli Muchtar ◽

...

Keyword(s):

Stem Cells ◽

Clinical Trials ◽

Research Funding ◽

Complete Response ◽

Advisory Board ◽

Type I ◽

Cell Transplant ◽

Newly Diagnosed ◽

Early Discontinuation ◽

Patient Disposition

Background: The combination of a proteasome inhibitor (PI), an immunomodulatory drug (IMiD), and dexamethasone is the current standard induction therapy for myeloma. Daratumumab (Dara), a monoclonal antibody directed against CD38, is highly effective in treating myeloma and improves response rates and progression free survival (PFS) when added to PI or IMiD. Ixazomib, lenalidomide and dexamethasone (IRd) is an effective, all oral, induction regimen that has been studied in phase 2 and 3 trials. We designed this trial to examine the feasibility and efficacy of adding daratumumab to the IRd regimen as well as early discontinuation of dexamethasone in two sequential cohorts of patients. Patients and Methods: Patients with previously untreated MM who had measurable disease and adequate organ function were enrolled, irrespective of their autologous stem cell transplant eligibility. The primary objective was to determine the rate of complete response to IRD-Dara combination. A one-stage binomial design was utilized in each cohort independently to test the null hypothesis that the complete response rate is at most 25% against the alternative hypothesis that it is at least 45%, with 89% power and 9% type I error. Treatment involved 28-day cycles consisting of ixazomib 4 mg days 1, 8, 15; lenalidomide 25 mg days 1-21, dexamethasone 40 mg, weekly and Dara 16 mg/kg, weekly for two cycles, every other week during cycles 3-6 and then every 4 weeks thereafter during induction (12-cyles) followed by Dara-ixazomib maintenance (maximum 24 cycles). Cohorts A (n=38) and B (N=40) comprised the study population, with dexamethasone discontinued after two cycles in Cohort B. Results: Baseline demographics and patient disposition are outlined in the table. Among those who have gone off study, 9 and 5 patients, respectively in Cohort A and B went off for progression, while 11 and 8 patients in the respective arms discontinued treatment for an alternative therapy, most frequently a transplant. Responses were rapid and deepened over the duration of treatment as shown in the figure; 32% of patients in Cohort A and 28% of patients in Cohort B achieved a complete response; 29% and 23%, respectively, achieved a marrow minimal residual disease (MRD) negative status. After a median follow up was 31.4 months for Cohort A and 18.2 months for Cohort B, median PFS has not been reached in either cohort. A grade 3 or higher adverse event at least possibly attributed to the study drugs was seen in 58% of patients in Cohort A (hematologic in 47% and non-hematologic in 26%) and 50% of patients in Cohort B (hematologic 43%, non-hematologic 20%). The most common toxicities included fatigue, neutropenia, lymphopenia, peripheral neuropathy and nausea. Stem cells were collected in 30 and 31 patients in Cohorts A and B respectively; median (range) of CD34 cells/kg were 8.5 (2.8, 15.9) x 106and 7.0 (2.9, 12.1) x 106, with plerixafor used in 83% and 94% of patients, respectively, in Cohorts A and B as per our standard of care "on-demand" approach based on blood CD34 count. Conclusion: Dara-IRd is an active regimen in newly diagnosed MM, with high overall rates of response and deep responses that improved over time with therapy. Early discontinuation of dexamethasone does not appear to impact the depth, rate or kinetics of response. The toxicities were manageable, with dose modifications. All patients were able to collect stem cells when required, though majority needed plerixafor. Disclosures Kumar: Amgen: Consultancy, Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments, Research Funding; Kite Pharma: Consultancy, Research Funding; Carsgen: Other, Research Funding; Janssen Oncology: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Cellectar: Other; Dr. Reddy's Laboratories: Honoraria; Takeda: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; AbbVie: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Celgene/BMS: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Merck: Consultancy, Research Funding; Adaptive Biotechnologies: Consultancy; Tenebio: Other, Research Funding; Oncopeptides: Consultancy, Other: Independent Review Committee; IRC member; Genentech/Roche: Other: Research funding for clinical trials to the institution, Consulting/Advisory Board participation with no personal payments; Genecentrix: Consultancy; Sanofi: Research Funding; Novartis: Research Funding; MedImmune: Research Funding; Karyopharm: Consultancy; BMS: Consultancy, Research Funding. Kapoor:GlaxoSmithKline: Research Funding; Celgene: Honoraria; Takeda: Honoraria, Research Funding; Amgen: Research Funding; Sanofi: Consultancy, Research Funding; Janssen: Research Funding; Cellectar: Consultancy. Dingli:Apellis: Consultancy; Karyopharm Therapeutics: Research Funding; Janssen: Consultancy; Bristol Myers Squibb: Research Funding; Alexion: Consultancy; Rigel: Consultancy; Millenium: Consultancy; Sanofi-Genzyme: Consultancy. Dispenzieri:Pfizer: Research Funding; Takeda: Research Funding; Alnylam: Research Funding; Janssen: Research Funding; Celgene: Research Funding; Intellia: Research Funding. Gertz:Abbvie: Other; Sanofi: Other; Celgene: Other; Research to Practice: Other; Physicians Education Resource: Other: personal fee; Amgen: Other: personal fee; Medscape: Other: personal fee, Speakers Bureau; Appellis: Other: personal fee; Annexon: Other: personal fee; Alnylam: Other: personal fee; Spectrum: Other: personal fee, Research Funding; Janssen: Other: personal fee; Teva: Speakers Bureau; Aurora Bio: Other; Springer Publishing: Patents & Royalties; Proclara: Other; DAVA oncology: Speakers Bureau; Johnson and Johnson: Speakers Bureau; Ionis/Akcea: Other: personal fee; Prothena: Other: personal fee.

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