In Vitro Drug Response Profiling in BCP- and T-ALL Primary Samples Adds a Robust Functional Layer Enabling Optimized Guidance of Individualized Therapy in Relapsed and Refractory Pediatric Acute Leukemia Patients

Despite progress with immunotherapy and targeted agents, treatment of refractory disease remains challenging, in particular for patients with T-ALL. Identification of genomic lesions defining actionable targets had limited impact on patient care so far. The complexity of biological systems highlights the need to develop complementary functional approaches. We and others have established platforms with a library of 120 drugs based on current treatment and (pre-)clinical development, to detect ex-vivo drug response phenotypes on leukemia samples at single cell resolution by high content image analysis. We demonstrated that drug response profiling (DRP) identifies dependencies not predicted by genetic alterations adding a functional information layer for clinicians. Here we report first correlations with clinical outcome using DRP in a non-interventional setting. From 2016 to 2019 we performed DRP in the framework of European ALL first- and second- line protocols upon request by treating centers. Here we analyze retrospectively treatment decisions and outcome for 23 T- and 50 BCP-ALL patients. To evaluate drug responses, we compared dose response curves of individual patients to data recorded for all patients. Sensitivity and resistance were defined based on the IC50 outlier analysis using cut-offs depending on distribution (normal gaussian vs. skewed). From 73 patients tested, clinical outcome data has been available for 36 BCP- and 15 T-ALL patients. NGS data provided by the INFORM registry has been available in 8 BCP- and 2 T-ALL patients. In first line BCP-ALL patients, ex-vivo Dexamethasone response predicted clinical response to prephase prednisone (d8) and minimal residual disease (MRD) reduction measured by flow cytometry at d15 of first line AIEOP BFM 2009 induction (Fig. 1). For refractory and relapsed ALL we observed an association of DRP and response to targeted agents in 14 out of 16 patients (87.5 %; Table 1). Data for the r/r BCP-ALL cohort is limited because most patients underwent CD19 and / or CD22-directed immunotherapy. Sensitivity and resistance to Calicheamicin correlated with clinical response to Inotuzumab, suggesting functional testing to be evaluated in future studies. In contrast, lack of correlation of ex-vivo sensitivity to MEK-inhibitors with presence of RAS-pathway alterations caution the exclusive use of molecular information to predict response to these agents. Most therapeutic decisions based on DRP information were made for patients with r/r T-ALL. Bortezomib ex-vivo sensitivity correlated with clinical responses in 5 T-ALL patients (Fig. 2). Both patients predicted to respond to Bortezomib and treated on Bortezomib + Venetoclax experienced good MRD response providing a bridge to stem cell transplantation (SCT). However, these patients relapsed after SCT emphasizing the need for additional consolidative therapeutic elements for heavily pretreated patients. In line with previous reports, we confirmed a T-ALL with high sensitivity to Dasatinib (IC50 1.9 nM; Fig. 3). Dasatinib monotherapy induced a molecular remission. A 2nd T-ALL showing an ex- vivo Dasatinib IC50 at 80 nM was refractory to treatment with Dasatinib + Daunoxome-FLAG. A 3rd ABL1-fusion positive T-ALL, ex-vivo resistant to Imatinib and Dasatinib, had only short- term response to Imatinib + chemotherapy. Finally, treating a T-ALL patient based on high sensitivity to the XPO1 inhibitor Selinexor as 4th line monotherapy led to significant decrease of PB blasts from d1 25 G/L to 0.7 G/L at d13 of treatment (Fig. 4). The patient experienced improved quality of life, minimizing need of hospitalization with stable disease for 3 months on maintenance with Selinexor. Given the promising preclinical data with this class of agents and current lack of established biomarkers, we propose that DRP should be evaluated for this class of agents. In conclusion, we established first associations between DRP and clinical response for various agents providing a rationale for the evaluation of DRP in prospective clinical trials. Integration of molecular and functional information may improve the selection of more specific treatment options for patients with resistant disease. The international BFM Study Group and ITCC Consortium are planning an international multiarm early clinical trial for treatment of r/r ALL patients that will include DRP for evaluation in order to improve selection of targeted therapy. Disclosures Cario: Jazz Pharmaceuticals: Consultancy, Other: travel support; Novartis: Consultancy, Other: travel support. Hrusak:Amgen: Other: MRD investigations funded by Amgen, Research Funding. Kulozik:Novartis: Consultancy, Honoraria; bluebird bio, Inc.: Consultancy, Honoraria. von Stackelberg:Morphosys: Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, advisory committees and speakers bureau, Speakers Bureau; Roche: Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, advisory committees and speakers bureau, Speakers Bureau; Jazz: Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, advisory committees and speakers bureau, Speakers Bureau; Amgen: Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, advisory committees and speakers bureau, Speakers Bureau; Shire: Membership on an entity's Board of Directors or advisory committees, Other: Personal fees, advisory committees and speakers bureau, Speakers Bureau. Jacoby:Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Lonza: Membership on an entity's Board of Directors or advisory committees. Bourquin:Servier: Other: Travel Support.

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Comparative Analysis of Independent Ex Vivo functional Drug Screens Identifies Predictive Biomarkers of BCL-2 Inhibitor Response in AML

Blood ◽

10.1182/blood-2018-99-111916 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 2763-2763 ◽

Cited By ~ 1

Author(s):

Brian S. White ◽

Suleiman A. Khan ◽

Muhammad Ammad-ud-din ◽

Swapnil Potdar ◽

Mike J Mason ◽

...

Keyword(s):

Gene Expression ◽

Board Of Directors ◽

Research Funding ◽

Drug Response ◽

Ex Vivo ◽

Predictive Performance ◽

Data Sets ◽

Advisory Committees ◽

Data Set ◽

Equity Ownership

Abstract Introduction: Therapeutic options for patients with AML were recently expanded with FDA approval of four drugs in 2017. As their efficacy is limited in some patient subpopulations and relapse ultimately ensues, there remains an urgent need for additional treatment options tailored to well-defined patient subpopulations to achieve durable responses. Two comprehensive profiling efforts were launched to address this need-the multi-center Beat AML initiative, led by the Oregon Health & Science University (OHSU) and the AML Individualized Systems Medicine program at the Institute for Molecular Medicine Finland (FIMM). Methods: We performed a comparative analysis of the two large-scale data sets in which patient samples were subjected to whole-exome sequencing, RNA-seq, and ex vivo functional drug sensitivity screens: OHSU (121 patients and 160 drugs) and FIMM (39 patients and 480 drugs). We predicted ex vivo drug response [quantified as area under the dose-response curve (AUC)] using gene expression signatures selected with standard regression and a novel Bayesian model designed to analyze multiple data sets simultaneously. We restricted analysis to the 95 drugs in common between the two data sets. Results: The ex vivo responses (AUCs) of most drugs were positively correlated (OHSU: median Pearson correlation r across all pairwise drug comparisons=0.27; FIMM: median r=0.33). Consistently, a samples's ex vivo response to an individual drug was often correlated with the patient's Average ex vivo Drug Sensitivity (ADS), i.e., the average response across the 95 drugs (OHSU: median r across 95 drugs=0.41; FIMM: median r=0.58). Patients with a complete response to standard induction therapy had a higher ADS than those that were refractory (p=0.01). Further, patients whose ADS was in the top quartile had improved overall survival relative to those having an ADS in the bottom quartile (p<0.05). Standard regression models (LASSO and Ridge) trained on ADS and gene expression in the OHSU data set had improved ex vivo response prediction performance as assessed in the independent FIMM validation data set relative to those trained on gene expression alone (LASSO: p=2.9x10-4; Ridge: p=4.4x10-3). Overall, ex vivo drug response was relatively well predicted (LASSO: mean r across 95 drugs=0.62; Ridge: mean r=0.62). The BCL-2 inhibitor venetoclax was the only drug whose response was negatively correlated with ADS in both data sets. We hypothesized that, whereas the predictive performance of many other drugs was likely dependent on ADS, the predictive performance of venetoclax (LASSO: r=0.53, p=0.01; Ridge: r=0.63, p=1.3x10-3) reflected specific gene expression biomarkers. To identify biomarkers associated with venetoclax sensitivity, we developed an integrative Bayesian machine learning method that jointly modeled both data sets, revealing several candidate biomarkers positively (BCL2 and FLT3) or negatively (CD14, MAFB, and LRP1) correlated with venetoclax response. We assessed these biomarkers in an independent data set that profiled ex vivo response to the BCL-2/BCL-XL inhibitor navitoclax in 29 AML patients (Lee et al.). All five biomarkers were validated in the Lee data set (Fig 1). Conclusions: The two independent ex vivo functional screens were highly concordant, demonstrating the reproducibility of the assays and the opportunity for their use in the clinic. Joint analysis of the two data sets robustly identified biomarkers of drug response for BCL-2 inhibitors. Two of these biomarkers, BCL2 and the previously-reported CD14, serve as positive controls credentialing our approach. CD14, MAFB, and LRP1 are involved in monocyte differentiation. The inverse correlation of their expression with venetoclax and navitoclax response is consistent with prior reports showing that monocytic cells are resistant to BCL-2 inhibition (Kuusanmäki et al.). These biomarker panels may enable better selection of patient populations likely to respond to BCL-2 inhibition than would any one biomarker in isolation. References: Kuusanmäki et al. (2017) Single-Cell Drug Profiling Reveals Maturation Stage-Dependent Drug Responses in AML, Blood 130:3821 Lee et al. (2018) A machine learning approach to integrate big data for precision medicine in acute myeloid leukemia, Nat Commun 9:42 Disclosures Druker: Cepheid: Consultancy, Membership on an entity's Board of Directors or advisory committees; ALLCRON: Consultancy, Membership on an entity's Board of Directors or advisory committees; Fred Hutchinson Cancer Research Center: Research Funding; Celgene: Consultancy; Vivid Biosciences: Membership on an entity's Board of Directors or advisory committees; Aileron Therapeutics: Consultancy; Third Coast Therapeutics: Membership on an entity's Board of Directors or advisory committees; Oregon Health & Science University: Patents & Royalties; Patient True Talk: Consultancy; Millipore: Patents & Royalties; Monojul: Consultancy; Gilead Sciences: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Leukemia & Lymphoma Society: Membership on an entity's Board of Directors or advisory committees, Research Funding; GRAIL: Consultancy, Membership on an entity's Board of Directors or advisory committees; Beta Cat: Membership on an entity's Board of Directors or advisory committees; MolecularMD: Consultancy, Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Henry Stewart Talks: Patents & Royalties; Bristol-Meyers Squibb: Research Funding; Blueprint Medicines: Consultancy, Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Aptose Therapeutics: Consultancy, Equity Ownership, Membership on an entity's Board of Directors or advisory committees; McGraw Hill: Patents & Royalties; ARIAD: Research Funding; Novartis Pharmaceuticals: Research Funding. Heckman:Orion Pharma: Research Funding; Novartis: Research Funding; Celgene: Research Funding. Porkka:Novartis: Honoraria, Research Funding; Celgene: Honoraria, Research Funding. Tyner:AstraZeneca: Research Funding; Incyte: Research Funding; Janssen: Research Funding; Leap Oncology: Equity Ownership; Seattle Genetics: Research Funding; Syros: Research Funding; Takeda: Research Funding; Gilead: Research Funding; Genentech: Research Funding; Aptose: Research Funding; Agios: Research Funding. Aittokallio:Novartis: Research Funding. Wennerberg:Novartis: Research Funding.

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a Combination of Ex Vivo and Computational Models Predicts Clinical Response in MM Treatment Combinations of Proteasome Inhibitors, Imids, Nuclear Export Inhibitors and Alkylating Agents

Blood ◽

10.1182/blood.v128.22.3291.3291 ◽

2016 ◽

Vol 128 (22) ◽

pp. 3291-3291

Author(s):

Ariosto Silva ◽

Maria Silva ◽

Timothy Jacobson ◽

Mark B Meads ◽

Allison Distler ◽

...

Keyword(s):

Clinical Response ◽

Board Of Directors ◽

In Silico ◽

Nuclear Export ◽

Research Funding ◽

Ex Vivo ◽

Proteasome Inhibitors ◽

Tumor Burden ◽

Advisory Committees ◽

Genetics Research

Abstract Introduction: Multiple myeloma is a heterogeneous plasma cell neoplasm that remains all but incurable despite significant advances in treatment. We anticipate that the ability to overcome this hurdle resides in personalized strategies designed to specifically recognize, target, and anticipate dynamic tumor subpopulations with variable drug response profiles within an individual. To this end, we have developed a novel multi-disciplinary approach using organotypic drug screening and mathematical modeling to assess drug sensitivity of the different subpopulations within the tumor burden of individual patients and, in turn, provide accurate predictions of clinical outcome to anti-myeloma therapy. Material and methods: We have used a novel combination of ex vivo drug sensitivity assay and mathematical models to predict clinical response of 48 MM patients (11 newly diagnosed and 37 relapsed, 18 females and 30 males, median age 64.5, range 45-77) treated with a combination of proteasome inhibitors and IMIDs (37), nuclear export and topo2 isomerase inhibitors (10), and high dose melphalan (1). MM cells (CD138+) were extracted from fresh bone marrow aspirates and seeded in an ex vivo co-culture model with human stroma in 384-well plates. These cells were exposed to a number of chemotherapeutic and experimental agents (up to 31) for a period of 4 days, during which viability was assessed continuously using bright field imaging and digital image analysis. A mathematical model was used to interpolate the dose response dynamics to each drug, and combined with drug and regimen-specific pharmacokinetic data, generate predictions of clinical response to each individual drug. We have then validated ex vivo-based predictions with actual outcome 90 days post-biopsy. In patients treated with combinations, the mathematical model combined the effect of each single drug assuming additivity. Results: To examine the accuracy of the predicted in silico responses, we have assessed the model according to three increasingly strict standards of accuracy: (A) The model correctly predicted 32 out of 32 responders (100%) and 14 out of 16 non-responders (88%), with an overall accuracy of 96%; (B) According to IMWG stratification, the model correctly stratified 14 out of 16 patients as stable or progressive disease (PD/SD, 88%, the remaining 2 incorrectly predicted as MR/PR), 15 our of 18 as minimal or partial response (MR/PR, 83%, the remaining 3 incorrectly predicted as VGPR/CR), and 10 out of 14 patients as very good partial response or complete response (71%, the remaining 4 incorrectly classified as MR/PR), with an overall accuracy of 81%; (C) The 48 patients from this study provided a total of 120 measures of tumor burden (M-spike or SFLC) within the 90-day post-biopsy period. The direct correlation between tumor burden measures and model predictions led to a Pearson r=0.5547 (P<0.0001) and the correlation line [Actual]=0.8282*[Model]+16.27, where [Model] and [Actual] are the predicted and actual tumor burdens as a percentage of tumor burden measure at the moment of treatment initiation. From the 14 non-responders, the model predicted that 2 would have had a VGPR/CR and 3 would have had a MR/PR if treated with drugs differing from those given clinically. Intriguingly, from the 13 patients who received 3-agent therapies with matched in silico drug testing, only 2 had response to all agents, 6 had a response to 2 agents, 4 responded to only 1 of the 3 agents and 1 responded to none of the agents. Next, we examined the 18 patients with a 2-drug match between in silico and actual treatment. From these, 1 patient model responded to 2 drugs, 12 responded to only 1 drug, and 5 responded to none. From the 17 patients with a single agent match between treatment and in silico, 8 had a response and 9 had no response. In summary, among the drugs tested both ex vivoand actually administered to patients, 48% had some predicted clinical benefit, while 52% of agents had none, and could theoretically be removed without affecting clinical outcome. Conclusion: We observed an excellent correlation between in silicopredicted and clinically observed responses in 48 MM patient specimens. Our data suggest that this model may provide critical insight in the selection the appropriate therapeutic agents and number of agents to combine for a given individual. Further validation is required to better define the role of this approach as a clinical decision support tool. Figure Figure. Disclosures Baz: Novartis: Research Funding; Signal Genetics: Research Funding; Karyopharm: Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda/Millennium: Research Funding; Bristol-Myers Squibb: Research Funding; Merck: Research Funding. Shain:Signal Genetics: Research Funding; Takeda/Millennium: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Amgen/Onyx: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding, Speakers Bureau; Novartis: Speakers Bureau.

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Predicting Response to Dasatinib Using a Computational Model and Its Validation: A Beat AML Project Study

Blood ◽

10.1182/blood-2018-99-115678 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 1541-1541

Author(s):

Jeffrey W. Tyner ◽

Brian J. Druker ◽

Cristina E. Tognon ◽

Stephen E Kurtz ◽

Leylah M. Drusbosky ◽

...

Keyword(s):

Bone Marrow ◽

Computational Biology ◽

Board Of Directors ◽

Research Funding ◽

Drug Response ◽

Drug Sensitivity ◽

Ex Vivo ◽

Patient Specific ◽

Advisory Committees ◽

Equity Ownership

Abstract Background: New prognostic factors have been recently identified in AML patient population that include frequent mutations of receptor tyrosine kinases (RTK) including KIT, PDGFR, FLT3, that are associated with higher risk of relapse. Thus, targeting RTKs could improve the therapeutic outcome in AML patients. Aim: To create a digital drug model for dasatinib and validate the predicted response in AML patient samples with ex vivo drug sensitivity testing. Methods: The Beat AML project (supported by the Leukemia & Lymphoma Society) collects clinical data and bone marrow specimens from AML patients. Bone marrow samples are analyzed by conventional cytogenetics, whole-exome sequencing, RNA-seq, and an ex vivo drug sensitivity assay. For 50 randomly chosen patients, every available genomic abnormality was inputted into a computational biology program (Cell Works Group Inc.) that uses PubMed and other online resources to generate patient-specific protein network maps of activated and inactivated pathways. Digital drug simulations with dasatinib were conducted by quantitatively measuring drug effect on a composite AML disease inhibition score (DIS) (i.e., cell proliferation, viability, and apoptosis). Drug response was determined based on a DIS threshold reduction of > 65%. Computational predictions of drug response were compared to dasatinib IC50 values from the Beat AML ex vivo testing. Results: 23/50 (46%) AML patients had somatic mutations in an RTK gene (KIT, PDGFR, FLT3 (ITD (n=15) & TKD (n=4)), while 27/50 (54%) were wild type (WT) for the RTK genes. Dasatinib showed ex vivo cytotoxicity in 9/50 (18%) AML patients and was predicted by CBM to remit AML in 9/50 AML patients with 4 true responders and 5 false positive. Ex vivo dasatinib responses were correctly matched to the CBM prediction in 40/50 (80%) of patients (Table1), with 10 mismatches due to lack of sufficient genomic information resulting in profile creation issues and absence of sensitive loops in the profile. Only 4/23 (17%) RTK-mutant patients and 5/27(19%) RTK-WT patients were sensitive to dasatinib ex vivo, indicating that presence of somatic RTK gene mutations may not be essential for leukemia regression in response to dasatinib. Co-occurrence of mutations in NRAS, KRAS and NF1 seemed to associate with resistance as seen in 10 of the 14 profiles harboring these mutations. Conclusion: Computational biology modeling can be used to simulate dasatinib drug response in AML with high accuracy to ex vivo chemosensitivity. DNA mutations in RTK genes may not be required for dasatinib response in AML. Co-occurrence of NRAS, KRAS and NF1gene mutations may be important co-factors in modulating response to dasatinib. Disclosures Tyner: Leap Oncology: Equity Ownership; Syros: Research Funding; Seattle Genetics: Research Funding; Janssen: Research Funding; Incyte: Research Funding; Gilead: Research Funding; Genentech: Research Funding; AstraZeneca: Research Funding; Aptose: Research Funding; Takeda: Research Funding; Agios: Research Funding. Druker:Third Coast Therapeutics: Membership on an entity's Board of Directors or advisory committees; Novartis Pharmaceuticals: Research Funding; Millipore: Patents & Royalties; Vivid Biosciences: Membership on an entity's Board of Directors or advisory committees; Oregon Health & Science University: Patents & Royalties; McGraw Hill: Patents & Royalties; Celgene: Consultancy; MolecularMD: Consultancy, Equity Ownership, Membership on an entity's Board of Directors or advisory committees; GRAIL: Consultancy, Membership on an entity's Board of Directors or advisory committees; Bristol-Meyers Squibb: Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees; Aptose Therapeutics: Consultancy, Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Henry Stewart Talks: Patents & Royalties; Patient True Talk: Consultancy; Blueprint Medicines: Consultancy, Equity Ownership, Membership on an entity's Board of Directors or advisory committees; ARIAD: Research Funding; Fred Hutchinson Cancer Research Center: Research Funding; Beta Cat: Membership on an entity's Board of Directors or advisory committees; Cepheid: Consultancy, Membership on an entity's Board of Directors or advisory committees; Leukemia & Lymphoma Society: Membership on an entity's Board of Directors or advisory committees, Research Funding; ALLCRON: Consultancy, Membership on an entity's Board of Directors or advisory committees; Aileron Therapeutics: Consultancy; Gilead Sciences: Consultancy, Membership on an entity's Board of Directors or advisory committees; Monojul: Consultancy. Sahu:Cellworks Research India Private Limited: Employment. Vidva:Cellworks Research India Private Limited: Employment. Kapoor:Cellworks Research India Private Limited: Employment. Azam:Cellworks Research India Private Limited: Employment. Kumar:Cellworks Research India Private Limited: Employment. Chickdipatti:Cellworks Research India Private Limited: Employment. Raveendaran:Cellworks Research India Private Limited: Employment. Gopi:Cellworks Research India Private Limited: Employment. Abbasi:Cell Works Group Inc.: Employment. Vali:Cell Works Group Inc.: Employment. Cogle:Celgene: Other: Steering Committee Member of Connect MDS/AML Registry.

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Evolving Unmet Need in Patients Refractory to Lenalidomide: Overview of the Clinical Trials in Relapsed/Refractory Multiple Myeloma

Blood ◽

10.1182/blood-2020-142642 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 22-23

Author(s):

Maria-Victoria Mateos ◽

Rohan Medhekar ◽

Istvan Majer ◽

Mehmet Turgut

Keyword(s):

Multiple Myeloma ◽

Clinical Trials ◽

Literature Review ◽

Board Of Directors ◽

Unmet Need ◽

Publicly Traded ◽

First Line ◽

Advisory Committees ◽

Line Of Therapy

Introduction: The majority of newly diagnosed multiple myeloma (NDMM) patients are currently treated with lenalidomide-based regimens as their first line of therapy. This trend is likely to continue in the coming years. Typically, lenalidomide is administered until disease progression and has significantly contributed to better outcomes in these patients. However, most patients relapse, and prognosis worsens with each relapse. The choice of optimal treatment for patients who relapse while receiving lenalidomide as first line of therapy is unclear. Moreau et al (Blood Cancer J. 9, 38 [2019]) concluded that there is limited data on approved combinations for treating these patients and are restricted by the low number of lenalidomide-refractory patients enrolled in the pivotal trials. Results from the ongoing clinical trials of the combination of carfilzomib and anti-CD38 antibodies were not available at the time of the Moreau et al publication. The aim of this targeted literature review was to include this new data and to summarize currently available evidence on progression-free survival (PFS) for the treatment of RRMM patients who progressed on lenalidomide-based regimens. Methods: A targeted literature review was conducted to identify registrational clinical trials in patients with RRMM reporting PFS outcomes. PubMed, congress proceedings, and product labels were searched between Jan 2014 to July 2020. In addition to PFS, demographic, disease characteristics and treatment history were extracted for the trial populations to contextualize potential variations in study outcomes. The regimens studied in these trials were classified as lenalidomide-based, proteasome inhibitor (PI)-based and pomalidomide-based. Number of prior lines of therapy, prior exposure and refractoriness to lenalidomide and bortezomib were reported. Results: Twelve registrational trials were identified based on the search criteria (Table 1). Most pivotal trials assessing lenalidomide-based regimens (POLLUX, ELOQUENT-II, TOURMALINE-MM1) except the ASPIRE trial excluded patients who were refractory to lenalidomide. Trials evaluating PI-based regimens (e.g., CANDOR) or pomalidomide-based regimens (e.g., OPTIMISMM) included these patients, with more recent studies enrolling a larger proportion. Percentage of lenalidomide-exposed (and lenalidomide refractory) ranged from 40% (32%) in CANDOR to 98% (90%) in ELOQUENT III. These studies also enrolled a larger proportion of patients who were bortezomib-exposed, although most of these patients were at first relapse, with the exception of ELOQUENT III and ICARIA where most patients were at third relapse. Among lenalidomide-refractory patients, the median-PFS (mPFS) observed for the pomalidomide-based regimens ranged from 9.5 to 10.1 months and that observed for PI-based regimens ranged from 4.9 to 25.7 months. PFS in the lenalidomide-refractory subgroup was considerably shorter than in the ITT population. The mPFS for patients receiving carfilzomib/daratumumab/dexamethasone (KDd; CANDOR) and isatuximab/carfilzomib/dexamethasone (IsaKd; IKEMA) was not reached at median follow-up of 16.9 and 20.7 months respectively. While the mPFS for (KDd) for lenalidomide-refractory patients in CANDOR trial was not yet reached at median follow up of 16.9 months; the mPFS of 25.7 months for KDd in the MMY-1001 trial appears to be the longest among the assessed regimens. Conclusion: Patients refractory to lenalidomide have shorter PFS and represent a population with high unmet need. This targeted literature review suggests that the PI-based KDd regimen provides longer PFS compared to other lenalidomide-sparing regimens in lenalidomide-refractory populations. Heterogeneity across trial populations may limit the comparability of these treatments. Disclosures Mateos: Regeneron: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees; Oncopeptides: Honoraria, Membership on an entity's Board of Directors or advisory committees; Roche: Honoraria, Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Honoraria, Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Janssen-Cilag: Consultancy, Honoraria; Adaptive Biotechnologies: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie/Genentech: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; PharmaMar-Zeltia: Consultancy; GlaxoSmithKline: Consultancy. Medhekar:Amgen Inc.: Current Employment, Current equity holder in publicly-traded company. Majer:Amgen (Europe) GmbH: Current Employment, Current equity holder in publicly-traded company.

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T Cell Immunity Toward Viral- and Tumor-Antigens Is Preserved in MDS Patients

Blood ◽

10.1182/blood-2019-126792 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 4225-4225

Author(s):

Hussein Hamad ◽

Wingchi K Leung ◽

Spyridoula Vasileiou ◽

Shivani Mukhi ◽

Quillan Huang ◽

...

Keyword(s):

T Cells ◽

T Cell ◽

Board Of Directors ◽

Healthy Donor ◽

Tumor Antigens ◽

Ex Vivo ◽

Advisory Committees ◽

Cell Immunity ◽

Healthy Donors ◽

T Cell Lines

Myelodysplastic syndromes (MDS) are a heterogeneous group of disorders characterized by bone marrow failure and a propensity to progress to acute myeloid leukemia (AML). A core component of the underlying pathogenesis in MDS is deregulation of inflammatory cytokines, such as tumor growth factor-β (TGFβ), which impact the function of immune cells and hence their capacity to mount anti-infective or anti-tumor responses. However, little is known about antigen-specific T cell function in patients with MDS. We hypothesized that virus-specific T cell (VST) function might be preserved in patients with MDS, and that the functional capacity of T cells reactive against tumor-associated antigens aberrantly overexpressed by clonal MDS cells such as Cyclin A1 (CCNA1) and Proteinase (PR3) might also be preserved and exploited for immunotherapeutic purposes. Following informed consent, we collected peripheral blood samples from 10 patients (pts) with MDS and 17 healthy donors. Most pts (9 out of 10) were transfusion dependent and 3 subsequently underwent an allogeneic HSCT. Table 1 summarizes the other clinical characteristics, karyotypic and mutational profile at the time of blood collection. Compared with T cells isolated from healthy donors, MDS patient-derived T cells had a similar CD4 to CD8 ratio (1.5-2.5:1 for healthy donors and 3:1 for MDS pts), but displayed a more exhausted profile at baseline (CD3+TIM3+: 1% in healthy donors and 5% in MDS pts) and produced higher levels of inflammatory cytokines [IFNγ (18±3pg/ml vs 36±16pg/ml, healthy donor vs MDS; p=0.12), and IL-8 (56±32 vs 704±446 pg/ml, p=0.01)]. Next, to assess the capacity of MDS pts to mount ex vivo functional virus-directed responses, we stimulated patient-derived PBMCs (n=5) with overlapping peptide libraries (pepmixes) spanning immunogenic AdV, CMV, EBV, BK and HHV-6 antigens. Similar to healthy donor-derived T cell lines (n=5, 3 specific for 4 viruses and 2 for 5 viruses), all 5 MDS patient-derived lines demonstrated specificity for one or more of the target viruses (1 for 5 viruses, 1 for 4, 2 for 3 and 1 for 1 virus) as observed by IFNγ ELISpot assay with comparable magnitude (range Adv: 43-730 vs 384-941 in healthy donors, CMV: 0-1599 vs 0-3002, EBV: 0-1486 vs 0-541, BK: 0-839 vs 38-275 and HHV6: 0-794 vs 5-407 SFU/2x105 cells, respectively). We next examined the feasibility of expanding autologous MDS-antigen directed T cell products (n=10) to determine whether an adoptive immunotherapeutic approach might be applicable for MDS treatment. Thus, we exposed patient-derived PBMCs to autologous dendritic cells (DC) loaded with pepmixes spanning 6 MDS-associated antigens (CCNA1, survivin, WT1, PRAME, PR3 and NYESO1). After 3 rounds of stimulation, the products obtained were predominantly CD3+ T cells (mean 88±1.3%) that were polyclonal (CD4: 46±5% and CD8: 41±4%) containing predominantly memory T cells (TEM: 36±6% TCM: 37±5% and Tnaïve =13±3%). Six lines (60%) showed specific recognition to at least one of the target antigens: 4 lines specific for PRAME, 1 for CCNA1, 1 for WT1 and 1 for NYESO1 (range 0-40, 0-184, 0-1386 and 0-179 SFU/2x105 cells, respectively by IFNγ ELIspot). T cell lines were capable of specifically secreting multiple effector cytokines in response to targets (TNFα: 12% and IFNγ: 16% in response to PRAME in a representative patient-derived T cell line). Furthermore, this line was capable of killing PRAME+ targets in a 4hr 51Cr release assay [60% specific lysis, E:T 20:1]. In conclusion, functional virus-directed T cell immunity in patients with MDS is preserved, potentially explaining the lower rates of viral reactivation seen in these patients compared with other infections. Moreover, T cells specific for MDS-expressed tumor antigens can also be successfully expanded ex vivo from patients. Taken together this raises the possibility of applying an adoptive immunotherapeutic approach for the treatment of MDS. Disclosures Ramos: Novartis: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Tessa Therapeutics: Research Funding. Leen:Allovir: Consultancy, Other: Cofounder, Ownership Interest; Marker Therapeutics: Consultancy, Other: Cofounder, Ownership Interest.

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Clinical and Biological Characteristics and Outcomes of Richter Transformation : A French Multicenter Study from the Filo Group

Blood ◽

10.1182/blood-2019-128053 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 4112-4112

Author(s):

Charline Moulin ◽

Romain Morizot ◽

Thomas Remen ◽

Hélène Augé ◽

Florian Bouclet ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

Intermediate Risk ◽

Line Treatment ◽

First Line ◽

Advisory Committees ◽

Long Term Survivors ◽

First Line Treatment

Introduction: About 2 to 10% of patients (pts) diagnosed with Chronic Lymphocytic Leukemia (CLL) develop diffuse large B-cell lymphoma (DLBCL, so-called Richter transformation (RT)) over long-term follow-up. The outcomes of pts with RT are variable and poorly understood and there is no consensus on the best therapeutic approach. The aim of this study was to analyze the clinical characteristics, outcomes and factors predictive of survival in a large series of RT from the French Innovative Leukemia Organization (FILO). Methods: Biopsy-confirmed RT (limited to DLBCL and excluding Hodgkin lymphoma) diagnosed from 2001 to 2018 were identified from eight FILO centers. Clinical and biological characteristics of CLL and RT at diagnosis, including cytogenetics, clonal relation with the pre-existing CLL, Epstein-Barr virus (EBV) status, cell of origin (COO) analyzed by immunohistochemistry and RT score (Tsimberidou AM et al, J Clin Oncol, 2006) were analyzed as well as treatment and outcomes. Overall survivals (OS) were defined as time from CLL and RT diagnosis to death from any cause and analyzed using the Kaplan-Meier method. Statistical analyses were performed with SAS version 9.4. Results: A total of 70 CLL pts who developed RT were identified. The median age at CLL diagnosis was 62 years old (range 35-82), and 50 (71.4 %) were male. The median time to transformation was 5.5 years (range 0 to 22 years), with 12 simultaneous diagnosis of CLL and RT. Prior to RT, 20 (29%) pts had not been treated for CLL, 50 received one (n=21) or more (n= 29) line of treatment ; 6 pts had received a novel agent (ibrutinib, idelalisib or venetoclax). The median age at RT diagnosis was 68 years old (range 42-88). All biopsies were centrally reviewed; 38/58 pts (66%) had elevated LDH (>1.5N) ; 35/65 pts (54 %) had bulky disease (≥ 5 cm); 10/54 (18.5%) pts had del(17p) or TP53 mutation ; 9/42 pts (21%) had a complex karyotype (at least 3 abnormalities). The CLL and RT were clonally related in 27/27 (100%) tested pts. COO by Hans algorithm was non germinal center B cell-like (GCB) in 26/28 pts (93%). EBV was positive or detected in 5/40 (12.5%) pts. The median of Ki67 positivity was 70% (range 30% to 100%). The RT score (based at RT diagnosis on ECOG performance status 2-4, LDH >1.5 x normal, platelets<100 x 109/L, tumor size >5 cm and >1 prior therapy for CLL) was : low risk in 17 pts (31%), low-intermediate risk in 10 pts (19%), high-intermediate risk in 14 pts (25%) and high risk in 14 pts (25%). The most common first-line treatment of RT was immunochemotherapy (n=57, 87%) including R-CHOP-like regimen (n=48, 73%). Autologous or allogeneic transplantation was performed for 7 pts (11%). Response to first-line treatment was complete or partial response in 26 pts (40%), and stable disease or progression in 39 pts (60%). After a median follow-up of 8 years, 51/64 pts (80%) have died. The main causes of death were progressive DLBCL (n=36, 71%), infection (n=8, 16%) or progressive CLL (n=2, 4%). The median OS of the cohort from CLL and RT diagnosis (Figure 1) were 7.8 years and 9.5 months, respectively. In univariate analysis, patients with TP53 disruption at CLL stage, low platelets count, elevated LDH, elevated beta2-microglobulin, high ECOG score, high RT score, EBV positivity and absence of response to first-line RT treatment had worse OS. The ECOG score, platelets count and TP53 disruption remain significant in multivariate Cox-regression. Last, we compared the clinical and biological parameters of two Richter groups defined as: (i) short-term survivors (<12 months, n = 34) and (ii) long-term survivors (>48 months, n = 18). Long survival was significantly associated with elevated platelets count, low LDH, low ECOG, low RT score and response to RT first-line treatment. Discussion: The clinical outcomes of RT patients is poor and novel treatment options are needed. However, a group of long-term survivors was identified, characterized by elevated platelets count, low LDH, low ECOG, low RT score and response to immunochemotherapy. Disclosures Leblond: Astra Zeneca: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Gilead: Honoraria, Speakers Bureau; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Abbvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Amgen: Honoraria, Speakers Bureau. Thieblemont:Roche: Honoraria, Research Funding; Gilead: Honoraria; Novartis: Honoraria; Kyte: Honoraria; Janssen: Honoraria; Celgene: Honoraria; Cellectis: Membership on an entity's Board of Directors or advisory committees. Cymbalista:Janssen: Honoraria; Gilead: Honoraria; AstraZeneca: Honoraria; Sunesis: Research Funding; Roche: Research Funding; Abbvie: Honoraria. Guièze:Abbvie: Honoraria; Janssen: Honoraria; Gilead: Honoraria; Roche: Honoraria. Broseus:Janssen: Honoraria; Gilead: Honoraria; Novartis: Research Funding. Feugier:gilead: Honoraria, Research Funding, Speakers Bureau; janssen: Honoraria, Research Funding, Speakers Bureau; abbvie: Honoraria, Research Funding, Speakers Bureau; roche: Honoraria, Research Funding, Speakers Bureau.

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Targeted Treatment and Survival Following Relapse after Allogeneic Hematopoietic Cell Transplantation for Acute Leukemia and MDS in the Contemporary Era

Blood ◽

10.1182/blood-2019-124533 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 4567-4567

Author(s):

Sanghee Hong ◽

Lisa Rybicki ◽

Donna Corrigan ◽

Betty K. Hamilton ◽

Ronald Sobecks ◽

...

Keyword(s):

Board Of Directors ◽

Cell Transplantation ◽

Research Funding ◽

Acute Gvhd ◽

Hematopoietic Cell Transplantation ◽

Treatment Strategies ◽

Targeted Agents ◽

Advisory Committees ◽

Survival After Relapse ◽

Grade Ii

Introduction: Relapse is the most frequent cause of treatment failure after allogeneic hematopoietic cell transplantation (alloHCT). While transplant-related mortality has decreased substantially over the last few decades, little progress has been made in outcomes and no standard of care exists for patients (pts) with post-alloHCT relapse. In the recent era, several new therapies, including targeted agents, have been approved for ALL, AML, and MDS. We conducted a study to evaluate outcomes of pts with these diseases who relapse after alloHCT in the contemporary period with routine availability of these newer therapeutic agents. Methods: We performed a single-institution retrospective cohort study to review treatment strategies and outcomes of relapse post-alloHCT. We identified 420 adult pts who received their first alloHCT in 2010-2018 using any conditioning regimen or donor source. Overall, 115 (27%) pts experienced relapse (ALL=17/64 [27%], AML=67/242 [28%], MDS=31/114 [27%]) and were included in the analysis. Results: Myeloablative (54%) matched-unrelated donor grafts (50%) were the most common types of HCTs. Peripheral blood stem cell graft (49%) and bone marrow graft (48%) were used the most. Median time from alloHCT to relapse was 5 (range 1-65) months, and 83% of relapses occurred within the first year. Only 24% and 11% of pts experienced grade II-IV acute and any chronic GVHD prior to relapse, respectively. Seven of 17 pts had Philadelphia chromosome positive ALL. Mutation panel was tested in 56% of AML and MDS. Median follow-up period after relapse was 19 (range 6-80) months. The estimated survival after relapse for all diseases was 32% (95% CI 24-41%) at 6 months, 21% (14-28%) at 12 months, and 14% (8-21%) at 24 months (Fig 1). Excluding pts treated with supportive care only, the majority received a combination of different treatments; pts with ALL received median 3 (range 1-5), pts with AML received median 2 (1-4), and pts with MDS received median 1 (1-3) agent. Targeted therapies used for ALL pts included blinatumomab (n=5) and BCR-ABL targeting tyrosine kinase inhibitors with (n=2) or without (n=4) chemotherapy. Among AML pts, targeted agents were used in 15 pts (sorafenib [n=7], 2 each with enasidenib, gemtuzumab ozagamicin, and ivosidenib, and 1 each with venetoclax and SEL24 [a dual pan-PIM/FLT3 inhibitor]). One pt each was treated with enasidenib, gemtuzumab ozagamicin, and PTC299 (an inhibitor of VEGFA mRNA translation) followed by SEL24 for MDS. Second alloHCTs (n=5) were performed median 5 (range 1-16) months after first HCT and median 1 month (range 0-5 months) after relapse. Two pts received no bridging therapy, while 3 pts received chemotherapy (n=2) or donor lymphocyte infusions (DLI [n=1]) prior to the second transplant. DLI without second transplant was used in 25 pts at a median of 20 (range 3-18) months after ALL relapse, median 2 (range 0-13) months after AML relapse, and median 3 (range 1-5) months after MDS relapse. Following DLI, 53% pts developed GVHD. Targeted therapy was associated with a trend towards better survival compared to other therapies (Fig 2, HR 0.65, 95% CI 0.41-1.03, p=0.06). Based on multivariable analysis, matched unrelated (vs. matched sibling, HR 1.70, p=0.027) or haploidentical donor grafts (HR 2.69, p=0.003), presence of grade II-IV acute GVHD before relapse (HR 2.46, p<0.001), and less than 12 months from HCT to relapse (<6 vs. >12 months, HR 6.34, p<0.001; 6-12 vs. >12 months, HR 3.16, p=0.005) were adverse prognostic features with survival after relapse post-alloHCT (Table 1). Conclusion: Outcomes of pts with ALL, AML, and MDS who relapse following alloHCT remain poor in the contemporary era when several newer therapies, including targeted agents, are available for their treatment. Targeted agents were used only in a minority of post-alloHCT relapses likely due to the combination of pt status, absence of the target mutation, the agents' availability, and other factors. Pts who developed grade II-IV acute GVHD and had shorter "disease-free" duration from unrelated or haploidentical donor grafts had the significantly shorter survival following relapse. More innovative treatment strategies to prevent and treat relapse post-alloHCT are needed. Disclosures Hill: Gilead: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Celegene: Consultancy, Honoraria, Research Funding; Amgen: Research Funding; TG therapeutics: Research Funding; Genentech: Consultancy, Research Funding; Abbvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Kite: Consultancy, Honoraria; Pharmacyclics: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; AstraZeneca: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria; Takeda: Research Funding. Anwer:In-Cyte: Speakers Bureau; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees. Majhail:Atara Bio: Consultancy; Anthem, Inc.: Consultancy; Nkarta: Consultancy; Mallinckrodt: Honoraria; Incyte: Consultancy.

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Aspacytarabine (BST-236) Is Safe and Efficacious As a Single-Agent, First-Line Therapy for Patients with Acute Myeloid Leukemia Unfit for Standard Chemotherapy. Integrated Results from a Phase 1/2a and an Ongoing Phase 2b

Blood ◽

10.1182/blood-2019-124330 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 179-179

Author(s):

Jessica K. Altman ◽

Tsila Zuckerman ◽

Olga Frankfurt ◽

Selina M. Luger ◽

Dale L. Bixby ◽

...

Keyword(s):

Board Of Directors ◽

Standard Therapy ◽

Research Funding ◽

Phase 1 ◽

Single Agent ◽

Prior Exposure ◽

Efficacy And Safety ◽

First Line ◽

Advisory Committees ◽

Ongoing Phase

Introduction: Aspacytarabine (BST-236) is a prodrug of cytarabine, a backbone of acute myeloid leukemia (AML) therapy. Due to its unique pharmacokinetics and metabolism, treatment with aspacytarabine evades peak exposure to free cytarabine, which reduces non-hematological toxicity and enables delivery of high-dose cytarabine also to patients unfit for standard therapy. Data from a completed phase 1/2a and an ongoing phase 2b studies in AML patients unfit for standard therapy, including patients with AML secondary to therapy and myelodysplastic syndrome (MDS) with prior exposure to hypomethylating agents (HMA), demonstrate promising single-agent efficacy and safety of aspacytarabine as a potential first-line AML treatment for this challenging population. Aims: To evaluate the efficacy and safety of aspacytarabine in AML patients unfit for standard induction therapy. Methods: A completed phase 1/2a study and an ongoing phase 2b study evaluate the efficacy and safety of aspacytarabine as a single-agent therapeutic for AML. The phase 1/2a, dose-escalation study enrolled newly-diagnosed patients unfit for standard therapy and patients with relapsed/refractory AML. Patients were treated with 0.3-6 g/m2/d aspacytarabine in 6 dose-escalating cohorts. The ongoing multi-center phase 2b study expands the subgroup of newly-diagnosed AML patients unfit for standard therapy, to evaluate the efficacy and safety of aspacytarabine as a first-line therapy for this population. Secondary AML patients, treated with HMA, chemotherapy, or radiotherapy for a prior condition, are allowed. Patients in the phase 2b study are treated with the selected aspacytarabine dose of 4.5 g/m2/d, containing approximately 3 g/m2/d of cytarabine. Each aspacytarabine treatment course (induction and consolidation) consists of 6 1-hour daily intravenous infusions. Results: To date, 34 AML patients, median age 76 years, received at least 1 dose of aspacytarabine, including 30 patients unfit for standard induction therapy due to age or comorbidities. Overall, 25 patients completed 1 course of aspacytarabine, 4 patients completed 2 courses, 1 patient completed 3 courses, and 1 patient completed 4 courses of aspacytarabine. Three patients (in the phase 1/2a study) did not complete the first course. Aspacytarabine was safe and well-tolerated in repeated-course administration, including in older and unfit patients. Adverse events included mainly hematological "on-target" events with no drug-related mucositis or cerebellar toxicity. Twenty-one patients were newly-diagnosed with AML, either de novo or secondary to MDS or therapy. The patient population was characterized by older age (median 76 years, range 67-88 years), and the majority (67%) of patients had secondary AML, including 10 patients (48%) who were previously treated with HMA (median of 10 courses) or radiotherapy. The median baseline bone marrow blast percentage of this population was 75, and 43% and 48% had intermediate or adverse European LeukemiaNet (ELN) cytogenetic score, respectively. Despite these poor-prognostic characteristics, the 30-day mortality rate in the group of patients receiving ≥4.5 g/m2/d aspacytarabine was 7%. The combined complete remission (CR) rate of all doses was 33%, including 1 patient reaching a CR with partial platelet recovery (CRp). The CR rate in patients treated with at least 4.5 g/m2/d aspacytarabine is 36%, with median time for complete hematological recovery of 27 days (range 21-30) following induction and consolidation. Notably, among the 7 patients who reached a CR/CRp (median age 77), 3 secondary AML patients reached a CR, including 2 patients with prior exposure to HMA (5 and 10 courses) and 1 with prior exposure to radiotherapy (Table 1). Duration of response and overall survival follow up is ongoing and will be presented at the meeting. Conclusions: The accumulating clinical data suggest that aspacytarabine is safe and efficacious for the treatment of AML patients who are unfit for standard induction therapy, including patients with prior exposure to HMA, which may establish aspacytarabine as a new therapeutic backbone for AML, either as a single agent or in combination with targeted therapy. Disclosures Altman: Abbvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Glycomimetics: Consultancy, Honoraria, Other: Data Safety and Monitoring Committee; Daiichi Sankyo: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Biosight: Other: US Lead; Novartis: Consultancy; Agios: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Cancer Expert Now: Consultancy; France Foundation: Speakers Bureau; prIME Oncology: Speakers Bureau; PeerView: Speakers Bureau; Theradex: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Luger:Seattle Genetics: Research Funding; Pfizer: Honoraria; Onconova: Research Funding; Kura: Research Funding; Jazz: Honoraria; Genetech: Research Funding; Daichi Sankyo: Honoraria; Cyslacel: Research Funding; Celgene: Research Funding; Biosight: Research Funding; Ariad: Research Funding; Agios: Honoraria. Kota:Takeda: Honoraria; Xcenda: Honoraria; Novartis: Honoraria; Amgen: Honoraria; Pfizer: Honoraria. Flaishon:BioSight Ltd.: Employment. Tessler:BioSight Ltd.: Employment. Gengrinovitch:BioSight Ltd.: Employment. Ben Yakar:BioSight Ltd.: Employment. Rowe:BioSight: Consultancy.

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Low Dose Rituximab Plus High Dose Dexamethasone As First-Line Treatment for Autoimmune Hemolytic Anemia

Blood ◽

10.1182/blood-2020-142825 ◽

2020 ◽

Vol 136 (Supplement 1) ◽

pp. 13-14

Author(s):

Carlos Saúl Rodríguez-Roque ◽

Andres Gomez-De Leon ◽

Michelle Morcos-Sandino ◽

Nelson Josafat López-Flores ◽

David David Galindo-Calvillo ◽

...

Keyword(s):

Board Of Directors ◽

Hemolytic Anemia ◽

Autoimmune Hemolytic Anemia ◽

Low Dose ◽

Complete Response ◽

Event Free Survival ◽

First Line ◽

Advisory Committees ◽

Free Survival ◽

Loss Of Response

Introduction Corticosteroids are the first line therapy for autoimmune hemolytic anemia (AIHA), but are associated with significant adverse events, dependency and frequent relapses. Rituximab is reserved for severe or steroid-resistant disease. Low-dose rituximab is also effective, but its efficacy in the first line has been poorly described. We report our results with this combination. Methods Adults older than 16 years newly diagnosed with warm antibody AIHA either primary or secondary were included. Patients systematically received dexamethasone 40 mg for 4 days followed by a 1 mg/kg rapid prednisone taper plus rituximab 100 mg weekly for 4 doses. Our primary outcome was response at day 28 based on the First International Consensus Meeting (complete response: normalization of Hb, no evidence of hemolysis and absence of transfusions; response: increase of Hb by >2g/dl, or normalization of biochemical resolution of hemolysis or absence of transfusion in 7 days), secondary outcome was event-free survival with an event defined as a laboratory or clinical relapse or loss of response. Results Sixteen patients were treated with low-dose rituximab during the study period, ten women (62.5%), six men (37.5%). The median age was 34 years (range, 17-78). Three (18.75%) were secondary to lupus erythematosus. The median follow-up was 20 months (range, 0.4-66). Most received 4 doses of rituximab (87.5%). All patients responded at day 28, (100%) 31.2% achieved a complete response (CR). Subsequently, 81.3% achieved CR. Ten (62.5%) were considered steroid-dependent, however, most discontinued treatment without loss of response (75%). The event-free survival was 63.8% to 5 years. Conclusion Low-dose rituximab therapy as a first-line in AIHA showed encouraging results as most patients were able to discontinue treatment without relapse. Disclosures Gomez-Almaguer: Amgen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AbbVie: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene/BMS: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; AstraZeneca: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pfizer: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Roche: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau.

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Radioimmunotherapy for Mantle Cell Lymphoma: 5-Year Follow-up of 90 Patients from the International RIT-Registry

Blood ◽

10.1182/blood-2019-124192 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 5263-5263

Author(s):

Karin Hohloch ◽

Christine Windemuth-Kieselbach ◽

Pier Luigi Zinzani ◽

Roberto E. Cacchione ◽

Wojciech Jurczak ◽

...

Keyword(s):

Follicular Lymphoma ◽

Mantle Cell Lymphoma ◽

Board Of Directors ◽

Research Funding ◽

Cell Lymphoma ◽

Primary Therapy ◽

First Line ◽

Advisory Committees ◽

Mantle Cell

To assess the efficacy of radioimmunotherapy (RIT) with 90yttrium-ibrutinib-tiuxetan (90Y-IT) in mantle cell lymphoma, data from 90 patients registered in the RIT Network with a median follow-up (FU) of 5.5 years after RIT were evaluated. 90Y-IT was given as first-line therapy in 45 (50%) (consolidation 44 pts., primary therapy 1 pt.) and at relapse in 45 (50%) patients (consolidation 24 pts., recurrence 12 pts., therapy refractory 3 pts., conditioning 2 pts., other 4 pts.). As a first-line treatment, 30 patients (pts.) (67%) achieved CR, 10 pts. (22%) PR%., 1 pt. (2%) PD, and for 4 pts. (9%) no response data was available. At relapse, CR was achieved in 17 pts. (38%), PR in 6 pts. (13%), SD in 2 pts. (4%), and 6 pts. (13%) had PD, while the response was not documented for 14 pts. (31%). After a median FU of 5.5 years, median PFS for all patients was 2.11 (95%CI: 1.03-2.32) years, and median OS was 4.05 (95%CI 2.79-7.21) years. Eleven pts. (12.2%) developed second malignancy. In conclusion, this is the largest report of MCL pts. treated with 90Y-IT to date. 90Y-IT was most often used as consolidation after first- and second-line chemotherapy and may improve the results achieved using chemoimmunotherapy alone. However, the results are less encouraging compared to treatment with small molecules such as ibrutinib. Disclosures Zinzani: TG Therapeutics: Honoraria, Speakers Bureau; Kyowa Kirin: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Roche: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Portola: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Immune Design: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sandoz: Membership on an entity's Board of Directors or advisory committees; Servier: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Janssen-Cilag: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Gilead: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Celltrion: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Verastem: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; MSD: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Eusapharma: Consultancy, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Sanofi: Consultancy. Jurczak:Sandoz: Membership on an entity's Board of Directors or advisory committees, Research Funding; Loxo: Membership on an entity's Board of Directors or advisory committees, Research Funding; Takeda: Research Funding; Roche: Research Funding; AstraZeneca: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Research Funding; Bayer: Research Funding; Gilead: Research Funding; MorphoSys: Research Funding; Incyte: Research Funding; Novo Nordisk: Research Funding; Servier: Research Funding; TG Therapeutics: Research Funding; Celtrion: Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding. Truemper:Seattle Genetics, Inc.: Research Funding; Takeda: Consultancy, Research Funding; Roche: Research Funding; Nordic Nanovector: Consultancy; Mundipharma: Research Funding; Janssen Oncology: Consultancy. Scholz:Janssen-Cilag: Consultancy; Hexal: Consultancy; Takeda: Consultancy; Novartis: Consultancy; Celgene: Consultancy; Pfizer: Speakers Bureau; Roche: Consultancy; GILEAD: Consultancy, Speakers Bureau; Daiichi Sankio: Consultancy. OffLabel Disclosure: Yttrium 90 (90Y) Ibritumomab Tiuxetan (Zevalin) is approved for treatment of patients with relapsed follicular lymphoma and as consolidation therapy after chemo(immuno)therapy of patients with follicular lymphoma.

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