scholarly journals Comparative Review of 30 Day Non-Relapse Mortality (NRM) in B-Cell Lymphomas Associated with Anti-CD19 Chimeric Antigen Receptor T-Cells (CAR-T) from FDA Database, Clinical Studies, and MD Anderson

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 1931-1931 ◽  
Author(s):  
Ethan Burns ◽  
Kartik Anand ◽  
Jason R. Westin ◽  
Sai Ravi Kiran Pingali ◽  
Joe Ensor ◽  
...  
Keyword(s):  
Risk Analysis ◽  
Board Of Directors ◽  
Research Funding ◽  
Advisory Board ◽  
Competing Risk ◽  
Competing Risk Analysis ◽  
Time To Event ◽  
Advisory Committees ◽  
Car T ◽  
Md Anderson

Introduction CAR-T cells targeting CD19 positive B-cells have improved outcomes and remission rates in relapsed/refractory non-Hodgkin lymphoma (NHL) and B-cell acute lymphoblastic leukemia (B-ALL). Although toxicities contributing to non-progression related mortality (NRM) have been reported in the pivotal trials, its incidence in the standard of care setting post-approval is unknown. The following data includes toxicity profiles implicated in events leading to NRM obtained from the FDA adverse event reporting system (FAERS) with comparison to MD Anderson (MDACC-L) CAR-T Lymphoma cohort and to the pivotal CAR-T trials. Methods We retrospectively queried FAERS for all adverse events (AE) associated with tisagenlecleucel (T) and axicabtagene ciloleucel (AC) reported from January 1, 2013-June 30, 2019. FAERS contains AEs from clinical trials and healthcare providers and is standardized according to the Medical Dictionary for Regulatory Activities (MedDRA), a clinically validated AE classification dictionary for pharmacovigilance monitoring. All cases with the outcome of death as reported by FAERS were queried. Cases in which the time to event with NRM was greater than 30 days or unknown were excluded. Total events recorded with NRM and disease progression were categorized according to the MedDRA coding system and compared using the chi-squared and a two-sided Fisher's exact test (statistical significance: p<0.05). NRM was compared between FAERS, MDACC-L, and the ZUMA-1, JULIET and ELIANA trials. Median days to NRM was measured. In the MDACC-L, a competing risk analysis using cumulative incidence function (CIF) between NRM and disease progression was calculated with Fine & Gray competing risk model. Results On FAERS, there were a total of 1184 reported cases, 669 with AC and 515 with T. Five cases were excluded because the reported event occurred 30 days after initiation of T (4) or AC (1), and 96 deaths were excluded because of missing start or event dates. As a result, there were 1,083 cases, 633 with AC and 450 with T. There were 101 (9.3%) deaths; 59 (13.1%) with T and 42 (6.6%) with AC. Seventy-six (7.0%) deaths were attributed to NRM; 39 (8.7%) with T and 37 (5.8%) with AC (Table 1) (Figure 1). AC had a significantly greater proportion of cytokine release syndrome (CRS) (p=0.027) and neurologic events (0.038) compared to T. The median number of days to the reported event was 4 (R: 0-27) for AC and 6 (R: 0-28) for T. There was no significant difference amongst cardiac, vascular, respiratory, or infectious events. There were 112 patients in the MDACC-L (108 received A and 4 received T), with 3 cases excluded due to non-availability of cause of death. There were 7 deaths for competing risk analysis between progression and NRM. At 30 days, the competing risk analysis for MDACC-L using the CIF for NRM was 2.74% (0.8-8.9%) when progression was used as a competing event. In comparison, the proportion of 30 day NRM with ZUMA-1 was 3%, JULIET was 0%, while ELIANA was 1.3%. Conclusions NRM, an important outcome measure in stem cell transplantation, needs to be clearly defined in CAR-T therapies. We present NRM events based on the largest dataset available, FAERS. This analysis highlights the major toxicities associated with NRM, time to event occurrence, and indicates potential opportunities for mortality reducing interventions. Competing risk analysis suggests NRM is 2.74% following axicabtagene ciloleucel treatment for lymphoma. The comparative data highlights the differences in the reporting, and the need for close monitoring of CAR-T specific AEs. It also reflects the limitation of FAERS such as missing data that may change the actual NRM, inability to differentiate the grade of a reported AE, and inability to determine the exact date of death. We plan to present this data with a profile of NRM events at the upcoming ASH meeting in Orlando. Disclosures Westin: Novartis: Other: Advisory Board, Research Funding; Kite: Other: Advisory Board, Research Funding; 47 Inc: Research Funding; Unum: Research Funding; MorphoSys: Other: Advisory Board; Genentech: Other: Advisory Board, Research Funding; Curis: Other: Advisory Board, Research Funding; Juno: Other: Advisory Board; Janssen: Other: Advisory Board, Research Funding; Celgene: Other: Advisory Board, Research Funding. Nastoupil:Spectrum: Honoraria; TG Therapeutics: Honoraria, Research Funding; Novartis: Honoraria; Janssen: Honoraria, Research Funding; Gilead: Honoraria; Genentech, Inc.: Honoraria, Research Funding; Celgene: Honoraria, Research Funding; Bayer: Honoraria. Nieto:Novartis: Research Funding; Affimed: Consultancy; Astra-Zeneca: Research Funding; Affimed: Research Funding. Parmar:Cellenkos Inc.: Equity Ownership, Membership on an entity's Board of Directors or advisory committees, Research Funding. Wang:Janssen: Consultancy, Honoraria, Research Funding, Speakers Bureau; Celgene: Consultancy, Research Funding; MoreHealth: Consultancy, Equity Ownership; BioInvent: Consultancy, Research Funding; Loxo Oncology: Research Funding; BeiGene: Research Funding; Aviara: Research Funding; AstraZeneca: Consultancy, Honoraria, Research Funding, Speakers Bureau; Dava Oncology: Honoraria; Pharmacyclics: Consultancy, Honoraria, Research Funding; Acerta Pharma: Consultancy, Honoraria, Research Funding; Pulse Biosciences: Consultancy; Kite Pharma: Consultancy, Research Funding; VelosBio: Research Funding; Juno Therapeutics: Research Funding. Hawkins:Novartis Pharmaceuticals: Other: advisory panels. Fowler:TG Therapeutics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Abbvie: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding. Neelapu:Celgene: Consultancy, Research Funding; Acerta: Research Funding; Novartis: Consultancy; Pfizer: Consultancy; Precision Biosciences: Consultancy; Allogene: Consultancy; Incyte: Consultancy; BMS: Research Funding; Cellectis: Research Funding; Karus: Research Funding; Unum Therapeutics: Consultancy, Research Funding; Kite, a Gilead Company: Consultancy, Research Funding; Merck: Consultancy, Research Funding; Cell Medica: Consultancy; Poseida: Research Funding. Iyer:Arog: Research Funding; Bristol-Myers Squibb: Research Funding; Genentech/Roche: Research Funding; Incyte: Research Funding; Novartis: Research Funding; Seattle Genetics, Inc.: Research Funding.

scholarly journals Identification of Two CAR T-Cell Populations Associated with Complete Response or Progressive Disease in Adult Lymphoma Patients Treated with Axi-Cel

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 779-779 ◽  
Author(s):  
Zinaida Good ◽  
Jay Y. Spiegel ◽  
Bita Sahaf ◽  
Meena B. Malipatlolla ◽  
Matthew J. Frank ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
Board Of Directors ◽  
Research Funding ◽  
Advisory Board ◽  
Advisory Committees ◽  
Car T Cells ◽  
Scientific Advisory Board ◽  
Car T ◽  
Scientific Advisory

Axicabtagene ciloleucel (Axi-cel) is an autologous anti-CD19 chimeric antigen receptor (CAR) T-cell therapy approved for the treatment of relapsed or refractory diffuse large B-cell lymphoma (r/r DLBCL). Long-term analysis of the ZUMA-1 phase 1-2 clinical trial showed that ~40% of Axi-cel patients remained progression-free at 2 years (Locke et al., Lancet Oncology 2019). Those patients who achieved a complete response (CR) at 6 months generally remained progression-free long-term. The biological basis for achieving a durable CR in patients receiving Axi-cel remains poorly understood. Here, we sought to identify CAR T-cell intrinsic features associated with CR at 6 months in DLBCL patients receiving commercial Axi-cel at our institution. Using mass cytometry, we assessed expression of 33 surface or intracellular proteins relevant to T-cell function on blood collected before CAR T cell infusion, on day 7 (peak expansion), and on day 21 (late expansion) post-infusion. To identify cell features that distinguish patients with durable CR (n = 11) from those who developed progressive disease (PD, n = 14) by 6 months following Axi-cel infusion, we performed differential abundance analysis of multiparametric protein expression on CAR T cells. This unsupervised analysis identified populations on day 7 associated with persistent CR or PD at 6 months. Using 10-fold cross-validation, we next fitted a least absolute shrinkage and selection operator (lasso) model that identified two clusters of CD4+ CAR T cells on day 7 as potentially predictive of clinical outcome. The first cluster identified by our model was associated with CR at 6 months and had high expression of CD45RO, CD57, PD1, and T-bet transcription factor. Analysis of protein co-expression in this cluster enabled us to define a simple gating scheme based on high expression of CD57 and T-bet, which captured a population of CD4+ CAR T cells on day 7 with greater expansion in patients experiencing a durable CR (mean±s.e.m. CR: 26.13%±2.59%, PD: 10.99%±2.53%, P = 0.0014). In contrast, the second cluster was associated with PD at 6 months and had high expression of CD25, TIGIT, and Helios transcription factor with no CD57. A CD57-negative Helios-positive gate captured a population of CD4+ CAR T cells was enriched on day 7 in patients who experienced progression (CR: 9.75%±2.70%, PD: 20.93%±3.70%, P = 0.016). Co-expression of CD4, CD25, and Helios on these CAR T cells highlights their similarity to regulatory T cells, which could provide a basis for their detrimental effects. In this exploratory analysis of 25 patients treated with Axi-cel, we identified two populations of CD4+ CAR T cells on day 7 that were highly associated with clinical outcome at 6 months. Ongoing analyses are underway to fully characterize this dataset, to explore the biological activity of the populations identified, and to assess the presence of other populations that may be associated with CAR-T expansion or neurotoxicity. This work demonstrates how multidimensional correlative studies can enhance our understanding of CAR T-cell biology and uncover populations associated with clinical outcome in CAR T cell therapies. This work was supported by the Parker Institute for Cancer Immunotherapy. Figure Disclosures Muffly: Pfizer: Consultancy; Adaptive: Research Funding; KITE: Consultancy. Miklos:Celgene: Membership on an entity's Board of Directors or advisory committees; BMS: Membership on an entity's Board of Directors or advisory committees; Kite-Gilead: Membership on an entity's Board of Directors or advisory committees, Research Funding; AlloGene: Membership on an entity's Board of Directors or advisory committees; Precision Bioscience: Membership on an entity's Board of Directors or advisory committees; Miltenyi Biotech: Membership on an entity's Board of Directors or advisory committees; Becton Dickinson: Research Funding; Adaptive Biotechnologies: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Juno: Membership on an entity's Board of Directors or advisory committees. Mackall:Vor: Other: Scientific Advisory Board; Roche: Other: Scientific Advisory Board; Adaptimmune LLC: Other: Scientific Advisory Board; Glaxo-Smith-Kline: Other: Scientific Advisory Board; Allogene: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Apricity Health: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Unum Therapeutics: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Obsidian: Research Funding; Lyell: Consultancy, Equity Ownership, Other: Founder, Research Funding; Nektar: Other: Scientific Advisory Board; PACT: Other: Scientific Advisory Board; Bryologyx: Other: Scientific Advisory Board.

scholarly journals Phase I Trial Using CD19/CD22 Bispecific CAR T Cells in Pediatric and Adult Acute Lymphoblastic Leukemia (ALL)

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 744-744 ◽  
Author(s):  
Liora M Schultz ◽  
Lori S Muffly ◽  
Jay Y. Spiegel ◽  
Sneha Ramakrishna ◽  
Nasheed Hossain ◽  
...  
Keyword(s):  
T Cells ◽  
Board Of Directors ◽  
Research Funding ◽  
Advisory Board ◽  
Adult Patients ◽  
Advisory Committees ◽  
Car T Cells ◽  
Scientific Advisory Board ◽  
Car T ◽  
Scientific Advisory

Introduction: Chimeric antigen receptor (CAR) T cells targeting either CD19 or CD22 have yielded striking complete remission (CR) rates of 70%-90% in patients with relapsed/refractory B-cell acute lymphoblastic leukemia (ALL), but CD19 negative and CD22 low relapse limits the curative potential of these single-antigen CAR T cell approaches. We hypothesized that a bivalent CAR-T construct that can target CD19 and/or CD22 would prevent antigen negative/low relapse. Here we present the combined single institution experience to date of pediatric and adult patients with R/R ALL treated with this novel bispecific CAR. Methods: We conducted parallel Phase I clinical trials of CD19/CD22 bispecific CAR T cells in pediatric and adult patients with relapsed/refractory ALL. We utilized lentiviral transduction of a bivalent CAR construct incorporating the fmc63 CD19 and m971 CD22 single chain variable fragments (scFvs) and a 41BB costimulatory endodomain. After lymphodepletion with fludarabine and cyclophosphamide, patients were infused with fresh or cryopreserved CAR T cells manufactured using a 7-11 day process. Two dose levels were tested during dose escalation: Dose level 1 was 1x106 CAR T cells/kg and dose level 2 was 3x106 cells/kg. Primary objectives assessed the ability to successfully manufacture CAR19/22 CAR T cells and safety while response at Day 28 post-infusion was a secondary objective. Blood, bone marrow and cerebrospinal fluid samples were obtained at protocol defined intervals for correlative biology studies. Results: Nineteen patients have been enrolled (10 pediatric; 9 adult) with a median age of 23 years (range, 2-68) and median of 4 (range, 2-11) prior lines of leukemia-directed therapy. Ten patients received prior HCT, 9 were treated with prior Blinatumomab, 3 with prior CD19 directed CAR T cells and 4 with prior Inotuzumab. Fourteen patients (8 pediatric, 6 adult) have been infused to date with CD19/CD22 bispecific CAR T cells; 7 were treated at dose level 1 (DL1) and 7 at dose level 2 (DL2). Successful manufacturing of cells at target dose levels was achieved in all patients. Twelve patients have reached day 28 and are included in the safety and response analysis presented here. Nine of 12 (75%) experienced cytokine release syndrome (CRS) and 2/12 (17%) developed immune-effector cell neurotoxicity syndrome (ICANS). The CRS and ICANS were all grade 1 or 2 across both dose levels and across pediatric and adult patients except for one adult with high disease burden who experienced grade 4 CRS and grade 4 ICANS, both of which were reversible. No differences in toxicities were seen across the patient age spectrum and there were no cases of treatment-related mortality within 28 days following CAR T infusion. Eleven of 12 (92%) patients achieved a CR, 10 of whom achieved CR at day 28 and one with a PR of extramedullary disease at day 28 which improved to CR by day 180 without further leukemia-directed intervention. One patient had primary progressive disease prior to day 28. Peak CAR expansion as detected by peripheral blood flow cytometry reached a median level of 11.13% (DL1) and 29.1% (DL2) CAR T of CD3+ cells with a range of 0.7-22.54% and 3.8-86.96%, respectively. To date, 3 patients (1 pediatric and 2 adult patients) have relapsed, all with retention of CD19. Post-remission practice differed across pediatric and adult patients; Six pediatric patients reaching day 28 underwent consolidative hematopoietic cell transplantation (HCT) whereas no adult patients received subsequent HCT. One patient died from complications post HCT while in remission. Therefore, the overall survival for all infused patients was 92% with a median follow-up of 9.5 months from time of infusion (range, 1-20). Conclusion: The combined pediatric and adult phase I trials of bispecific CD19/CD22 targeting CAR T cells in relapsed/refractory ALL demonstrates safety and tolerability at two dose levels. Expanded accrual at dose level 2 is ongoing and clinical outcomes will be updated. This work additionally demonstrates feasibility of delivering unified B-ALL CAR T cell therapy across age boundaries. Multi-parametric CyTOF studies permitting CAR T cell phenotyping in conjunction with single cell TCR tracking, proteomics, epigenomics and cytokine profiling are ongoing and will be used to further characterize persisting CAR T cells and define inter-product and inter-patient variability. Disclosures Muffly: Pfizer: Consultancy; KITE: Consultancy; Adaptive: Research Funding. Majzner:Xyphos Inc.: Consultancy; Lyell Immunopharma: Consultancy. Feldman:Octane Biotech, Inc.: Employment; Personalized Medicine Initiative Science: Membership on an entity's Board of Directors or advisory committees. Miklos:Adaptive Biotechnologies: Membership on an entity's Board of Directors or advisory committees; Kite-Gilead: Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Juno: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Becton Dickinson: Research Funding; Miltenyi Biotech: Membership on an entity's Board of Directors or advisory committees; Precision Bioscience: Membership on an entity's Board of Directors or advisory committees; AlloGene: Membership on an entity's Board of Directors or advisory committees. Mackall:Obsidian: Research Funding; Lyell: Consultancy, Equity Ownership, Other: Founder, Research Funding; Nektar: Other: Scientific Advisory Board; PACT: Other: Scientific Advisory Board; Bryologyx: Other: Scientific Advisory Board; Vor: Other: Scientific Advisory Board; Roche: Other: Scientific Advisory Board; Adaptimmune LLC: Other: Scientific Advisory Board; Glaxo-Smith-Kline: Other: Scientific Advisory Board; Allogene: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Apricity Health: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Unum Therapeutics: Equity Ownership, Membership on an entity's Board of Directors or advisory committees.

High Risk Diffuse Large B Cell Lymphoma: A Comparison of Aggressive Subtypes Treated with Dose Adjusted Chemotherapy-the University of Texas MD Anderson Experience

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 106-106 ◽  
Author(s):  
Vishwanath Sathyanarayanan ◽  
Yasuhiro Oki ◽  
Amir K Issa ◽  
Mohamed Amin Ahmed ◽  
Mansoor Noorani ◽  
...  
Keyword(s):  
High Risk ◽  
Board Of Directors ◽  
Research Funding ◽  
Progression Free Survival ◽  
B Cell Lymphoma ◽  
Time To Event ◽  
Advisory Committees ◽  
Free Survival ◽  
Large B Cell Lymphoma ◽  
Md Anderson

Abstract Background: Diffuse large B cell lymphoma (DLBCL) is the most common type of non Hodgkin lymphoma (NHL).Nearly 50% of high-risk DLBCL patients are not cured with standard rituximab, cyclophosphamide, doxorubicin, vincristine and prednisone (RCHOP). High risk DLBCL may be defined as double hit lymphoma (DHL, translocation of MYC and BCL2 or BCL6), double expressor lymphoma (DEL, over expression of MYC and BCL2), high risk international prognostic index (IPI) of 3-5, high Ki-67, and non-germinal center subtype (non-GCB). The majority of DHL cases occur in the GCB subtype, as opposed to the majority of DEL cases which occur in non-GCB. Hence we sought to compare different high risk subsets treated with dose-adjusted etoposide, doxorubicin, cyclophosphamide, vincristine, prednisone and rituximab (DA) EPOCH-R. In single arm phase II clinical trials, dose adjusted (DA) EPOCH-R has shown promising results, with potential greater efficacy in the GCB subtype in subset analyses (Wilson et al, Hematologica 2012). A randomized phase III study comparing RCHOP with (DA) EPOCH-R in newly diagnosed DLBCL has completed accrual, with highly anticipated results due in late 2016. Methods: We conducted a retrospective reviewof all consecutive, newly diagnosed DLBCL patients treated with (DA) EPOCH-R at MD Anderson Cancer Center from 2010 to 2014. Eligible patients were 18 years or greater, had high-risk DLBCL as determined by the treating physician, and had available data of treatment and response. The cell of origin subtype was determined by immunohistochemistry using Hans algorithm, and MYC and BCL2 positivity were defined as BCL2 positive in at least 70% and MYC positive in at least 40% of cells. DHL was defined as rearrangement of MYC and BCL2 or BCL6 by fluorescent in situ hybridization. The objectives were to analyze demographic, prognostic, and treatment variables in comparison with clinical response and survival outcomes in three sub groups which included 1. DHL (GCB) 2. DLBCL without MYC and BCL2 expression (GCB), and 3. DEL (GCB and non GCB). Complete response (CR), overall survival (OS) and progression free survival (PFS) were calculated using standard methods. Statistical analysis was done using Fishers exact test or Chi-square test / Kruskal-Wallis test. Kaplan-Meier method was used for time-to-event analysis including overall survival and progression free survival. The Log-rank test was used to evaluate the difference in time-to-event endpoints between patient groups. Results: We identified 233 high risk DLBCL patients treated with (DA) EPOCH-R. After filtering the data to identify patients which were included in our three groups, we identified 22 patients with DHL (GCB), 46 patients with non DEL (GCB), and 16 with DEL. The demographic features and outcomes are mentioned in the table 1 below. The DHL group had more frequent bone marrow (BM) involvement, and the DHL and DEL groups were more frequently age >60 years and high IPI in comparison to the non DEL GCB group. The CR rate, OS and PFS at 1 year were not significantly different between these three groups. Figure 1 highlights the OS (A) and PFS (B) results of each group. Conclusions: (DA) EPOCH-R is highly effective in patients with subsets of patients with high-risk DLBCL and may be able to overcome prognostic factors which have been shown to be adverse with RCHOP therapy. The results of this retrospective study suggest that OS in DHL, DEL and non DEL (GCB) are not statistically different. Hence, intensive chemotherapy with (DA) EPOCH-R could be considered as a frontline treatment option for patients with high risk DLBCL, pending further confirmation in randomized trials. Disclosures Oki: Novartis: Research Funding. Fowler:Infinity: Consultancy, Research Funding; Roche: Consultancy, Research Funding; TG Therapeutics: Consultancy; Celgene: Consultancy, Research Funding; Jannsen: Consultancy, Research Funding; Gilead: Research Funding. Wang:Pharmacyclics: Research Funding; Juno Therapeutics: Research Funding; Acerta Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Research Funding; BeiGene: Research Funding; Kite Pharma: Research Funding; Onyx: Research Funding; Asana BioSciences: Research Funding; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Fayad:Seattle Genetics: Consultancy, Research Funding. Westin:ProNAi: Membership on an entity's Board of Directors or advisory committees; Spectrum: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Chugai: Membership on an entity's Board of Directors or advisory committees.

scholarly journals Metabolic PET/CT Analysis of Aggressive Non-Hodgkin Lymphoma Prior to Axicabtagene Ciloleucel CAR-T Infusion: Predictors of Progressive Disease, Survival, and Toxicity

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 2518-2518
Author(s):  
William Breen ◽  
Jason R. Young ◽  
Matthew Hathcock ◽  
Roman O. Kowalchuk ◽  
Radhika Bansal ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Research Funding ◽  
Advisory Board ◽  
Advisory Committees ◽  
Non Hodgkin Lymphoma ◽  
Increased Risk ◽  
Pet Ct ◽  
Car T ◽  
Grade 3

Abstract Purpose: Axicabtagene ciloleucel (axi-cel) is an anti-CD19 chimeric antigen receptor T-cell (CAR-T) therapy utilized for patients with non-Hodgkin lymphoma (NHL) refractory to at least 2 lines of therapy. F-18 fluorodeoxyglucose positron emission tomography/computed tomography (PET/CT) is used to evaluate disease extent prior to CAR-T infusion at two time points: pre-leukapheresis (pre-leuk) approximately 6 weeks prior to CAR-T infusion, and pre-lymphodepletion chemotherapy (pre-LD) approximately 1 week prior to CAR-T infusion. We hypothesized that PET/CT characteristics beyond Lugano criteria, such as metabolic tumor volume (MTV), total lesion glycolysis (TLG), SUV maximum (SUVMax), and changes in these parameters from pre-leuk to pre-LD, may predict for progressive disease (PD), death, and treatment toxicity after CAR-T infusion. Methods: Patients with NHL who received axi-cel on a prospective registry at Mayo Clinic Rochester were included. Lesions on pre-leuk and pre-LD PET/CT scans were segmented with a fixed absolute SUVMax threshold of 2.5 using a semi-automated workflow (LesionID, MIM Software Inc.) with manual modification to exclude physiologic uptake as needed. MTV, TLG, SUVMax, number of lesions, and other lesion characteristics were assessed for each PET/CT, and changes from pre-leuk to pre-LD were calculated. Lesions were categorized as either nodal, spleen, bone, parenchymal (i.e. liver, lung), or soft tissue (i.e. subcutaneous, muscle), and MTV was calculated for each category. Univariate Cox modeling was used to associate relative and directional change in metabolic and volumetric PET/CT characteristics with PD and death, after adjusting for bridging therapy. LASSO method was used for multivariable model selection. Pre-LD PET/CT characteristics were also assessed for association with presence and duration of cytokine release syndrome (CRS), grade 3+ immune effector cell-associated neurotoxicity syndrome (ICANS), tocilizumab (toci) use, and corticosteroid use. Results: From 2018-2020, axi-cel was delivered to 69 patients. Histology included diffuse large B-cell lymphoma (57%), transformed follicular lymphoma (23%), or high-grade lymphoma (19%). Pre-leuk and pre-LD PET/CT scans were performed a median of 46 days and 7 days prior to CAR-T infusion, respectively. Forty patients (58%) received bridging therapy between scans, including 9 (13%) receiving radiotherapy. At a median follow-up of 13 months, 39 (57%) had died and 46 (67%) had PD. Sixty patients (87%) developed CRS following CAR-T infusion for a median duration of 5 days. Presence of pre-LD parenchymal disease was associated with longer duration CRS (p=0.032). Thirty-seven patients (54%) developed ICANS for a median duration of 4.5 days, including 12 (32%) with grade 3+ ICANS. Greater pre-LD total MTV was associated with higher risk of grade 3+ ICANS (p=0.042). Greater pre-LD SUVMax was associated with longer duration ICANS (p=0.032). Nineteen (28%) patients required toci. Greater pre-LD total MTV, SUVMax, TLG, and volume of the largest lesion were associated with increased use of toci (p&lt;0.05 for all). Greater pre-LD total MTV and TLG of the largest lesion were associated with increased use of corticosteroid (p&lt;0.05 for each). While no individual pre-leuk or pre-LD PET/CT characteristics were associated with risk of PD or death, increases from pre-leuk to pre-LD in total MTV, total TLG, parenchymal MTV, and nodal MTV were associated with increased risk of PD (Figure 1). Similarly, increases from pre-leuk to pre-LD in parenchymal MTV, nodal MTV, TLG of the largest lesion, and total number of lesions were associated with increased risk of death (p&lt;0.05 for all). LASSO analysis identified increasing extranodal MTV (≥25% increase) and increasing TLG of the largest lesion (≥10% increase) as strong predictors of death (AUC 0.74, Table 1). Kaplan-Meier plots were generated for overall and progression-free survival using these risk factors (Figure 2). Additional patients and follow-up will be presented. Conclusions: Patients with greater pre-LD MTV had higher risk of grade 3+ ICANS and use of toci or corticosteroids. Increasing metabolic disease burden during CAR-T manufacturing is associated with increased risk of PD and death. A two variable risk score using increasing extranodal disease and increasing TLG of the largest lesion may stratify prognosis prior to CAR-T and inform treatment paradigms. Figure 1 Figure 1. Disclosures Bennani: Verastem: Other: Advisory Board; Purdue Pharma: Other: Advisory Board; Daichii Sankyo Inc: Other: Advisory Board; Kyowa Kirin: Other: Advisory Board; Vividion: Other: Advisory Board; Kymera: Other: Advisory Board. Paludo: Karyopharm: Research Funding. Wang: Genentech: Research Funding; LOXO Oncology: Membership on an entity's Board of Directors or advisory committees, Research Funding; Eli Lilly: Membership on an entity's Board of Directors or advisory committees; Incyte: Membership on an entity's Board of Directors or advisory committees, Research Funding; InnoCare: Research Funding; Novartis: Research Funding; MorphoSys: Research Funding; TG Therapeutics: Membership on an entity's Board of Directors or advisory committees. Ansell: Bristol Myers Squibb, ADC Therapeutics, Seattle Genetics, Regeneron, Affimed, AI Therapeutics, Pfizer, Trillium and Takeda: Research Funding. Lin: Gamida Cell: Consultancy; Janssen: Consultancy, Research Funding; Legend: Consultancy; Novartis: Consultancy; Celgene: Consultancy, Research Funding; Sorrento: Consultancy; Bluebird Bio: Consultancy, Research Funding; Takeda: Research Funding; Kite, a Gilead Company: Consultancy, Research Funding; Merck: Research Funding; Vineti: Consultancy; Juno: Consultancy.

scholarly journals RBC Alloimmunization Burden Is High in Regularly RBC-Transfused Myelodysplastic Syndrome (MDS) Patients: A Report from South Australian-MDS Registry

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 3562-3562
Author(s):  
Deepak Singhal ◽  
Sophia Hague ◽  
David Roxby ◽  
L Amilia Wee ◽  
Oi-Lin Lee ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Cumulative Incidence ◽  
Scoring System ◽  
Research Funding ◽  
Cox Regression ◽  
Competing Risk ◽  
Competing Risk Analysis ◽  
Advisory Committees ◽  
Rbc Transfusion

Abstract Introduction: Anemia is one of the commonest presenting features of MDS and approximately 30-40% of patients require regular RBC-transfusion. RBC-transfusion dependency (RBC-TD) is a poor-prognostic factor independent of revised International Prognostic Scoring System (IPSS-R) (Hiwase et al ASH 2014). Although RBC transfusion increases the risk of alloimmunization, there is limited literature characterizing this risk in MDS patients as compared to other hematological disorders (such as thalassemia). Methods: This retrospective study assessed the alloimmunization rate in 784 MDS and AML (20-30% blasts) patients registered in the South Australian-MDS registry (SA-MDS registry) between 1991 and 2015. RBC-TD was defined as ≥1 unit of RBC transfused every eight weeks for four months according to WHO based Prognostic Scoring System. The cumulative incidence of RBC-alloimmunization was calculated using competing risk analysis (death being the competing risk). Factors associated with increased rate of RBC antibody formation were investigated by Cox regression analysis. Results: The median age of the 784 patients at diagnosis was 75 years with 66% males. The estimated median follow up time was 7.3 years. 70% of patients (549/784) were diagnosed with primary MDS, while the remaining patients were diagnosed with AML (20-30% blasts; n=57), CMML (n=91) or therapy-related myeloid neoplasm (T-MN; n=87). At last follow-up 30% patients were alive, 67% were deceased and 3% were lost to follow-up. During the study period, 658 (84%) patients required ≥1 unit of RBC transfusion and median RBC units transfused were 29 (range 0-708). The WPSS definition of RBC-TD was met in 47% (366/784 patients), while 36% (282/784) patients required intermittent RBC-transfusions (RBC-TI). During follow up, 83 (13%) patients formed 155 RBC-alloantibodies and 50% of these cases (42/83) developed >1 RBC-alloantibody. Autoantibodies were also detected in 31 cases, mainly in association with RBC-alloantibodies (n=27; complex alloimmunization) while 4 cases had only autoantibodies. Interestingly, in 19/27 of cases autoantibodies were detected only after alloimmunization. The pathophysiologic mechanism of this remains unclear. The most common alloantibody specificities were Rh (57%) and Kell (21%) (Table 1). The median interval between 1st RBC transfusion and antibody detection was 10 (0.2-225) months. In 9 cases (6 females) alloantibodies were detected prior to the 1st unit of RBC-transfused. The incidence of RBC alloimmunization reached a plateau at 16% by 100 units of RBC (Fig. 1A), however 80% of antibodies were detectable by 30-40 RBC units transfused. It indicates that most "responders" will form antibodies during the first 30-40 units of RBC transfused. Since most chronically transfused MDS patients do not form RBC alloantibodies it is important from a clinical and resource-utilization standpoint to identify who is at greatest risk of RBC alloimmunization. Multivariate analysis using Cox-regression model was performed. The only factor which was associated with significantly higher risk of RBC alloimmunization was RBC-TD (HR 2.52; p=0.0005). Age, sex, IPSS-R category and number of RBC units transfused did not independently predict alloimmunization rate. Using competing risk analysis, the cumulative incidence of RBC-alloimmunization was significantly higher in RBC-TD group compared to RBC-TI group (p=0.0004; Fig. 1B). Conclusion: RBC-alloimmunization is a substantial risk in MDS patients, especially in RBC-transfusion dependent cases. Extended phenotype matching (D,C,c,E,e and Kell) could have prevented alloantibody formation in 79% of alloimmunized MDS patients. Table 1. Specificity of 155 RBC-alloantibodies Table 1. Specificity of 155 RBC-alloantibodies Disclosures Yeung: Ariad: Honoraria, Membership on an entity's Board of Directors or advisory committees; BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.

scholarly journals Peak Absolute Lymphocyte Count Post CAR-T Is Associated with Clinical Response and Survival Outcome in Aggressive Lymphoma

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 3856-3856
Author(s):  
Radhika Bansal ◽  
Anatilde Gonzalez Guerrico ◽  
Henan Zhang ◽  
Zuoyi Shao ◽  
Elham Babadi ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Mayo Clinic ◽  
Research Funding ◽  
Progression Free Survival ◽  
Absolute Lymphocyte Count ◽  
Advisory Board ◽  
Advisory Committees ◽  
Free Survival ◽  
Car T Cells ◽  
Car T

Abstract Introduction Chimeric antigen receptor T cell (CAR-T) expansion has been consistently identified as a predictor of clinical response. However, there are no clinically available test to measure CAR-T presence after infusion for the FDA approved CAR-T therapy. We hypothesize that the lymphocyte expansion which can be readily measured as absolute lymphocyte count (ALC) in blood count differential could be a clinically accessible surrogate for CAR-T expansion in patients who receive FDA approved CD19 CAR-T to treat aggressive B-cell non-Hodgkin lymphoma (NHL). We examined the ALC levels in the first 2 weeks after CAR-T infusion and correlation with clinical outcomes in NHL patients who received CAR-T at our institution. Methods Records were reviewed for patients who received CAR-T between 6/2016 and 1/2021 at Mayo Clinic, Rochester. CAR+ T cells were identified by flow cytometry using an anti-FMC63 antibody. Receiver operator curve was generated using nominal logistic regression to predict complete response (CR) as best response. Progression-free survival and overall survival were calculated using Kaplan-Meier method and between-group differences were assessed using log-rank test. Continuous variables were compared using wilcoxon text and categorical variables were compared using chi-square test. Results Among the 87 patients who received CAR-T for NHL, majority of the pts received axicabtagene ciloleucel (86, 99%). The highest ALC level (ALC peak) in the first 15 days were identified for all patients and median ALC peak was 0.44 X10 9/L (range, 0 - 2.55x10 9/L). The median time to ALC peak was 10 ±3 days. Increasing ALC peak levels correlated with increased CAR+ T cells in blood measured by flow cytometry (n=16, R=0.63, p=0.0008). Using ROC analysis, an ALC peak level of 0.67 was identified as the cut point for best association with CR (AUC=0.68, p=0.0004). Baseline demographics were similar between the high ALC peak (N=35) and low ALC peak (N=52) groups, as shown in Table 1. There was no difference in the incidence, high grade, or duration of cytokine release syndrome (CRS) and immune effector associated neurotoxicity syndrome (ICANS) between the two groups (Table 2). Patients who received a higher cumulative dose of steroid for management of CRS and ICANS had lower ALC peak. A higher ALC peak was associated with an increased CR rate and durable CR at month 6. Similarly, a higher ALC peak was associated with increased progression-free survival (PFS, 6.4 months vs. 2.7 months, p=0.004) and overall survival (OS, 31 months vs. 12 months, p=0.04), as shown in figure 1. Conclusion Given the typical CAR-T expansion seen in the first 2 weeks post infusion, ALC peak in the first 15 days is a clinically accessible, reliable surrogate for CAR-T expansion and predicts durable CR and longer PFS, OS. This study was supported in part by the Mayo Clinic Center for Individualized Medicine, Bernard E. and Edith B. Waterman, Henry J. Predolin Foundation and other generous benefactors of Mayo Clinic. Figure 1 Figure 1. Disclosures Bennani: Verastem: Other: Advisory Board; Purdue Pharma: Other: Advisory Board; Daichii Sankyo Inc: Other: Advisory Board; Kyowa Kirin: Other: Advisory Board; Vividion: Other: Advisory Board; Kymera: Other: Advisory Board. Paludo: Karyopharm: Research Funding. Wang: Genentech: Research Funding; Eli Lilly: Membership on an entity's Board of Directors or advisory committees; LOXO Oncology: Membership on an entity's Board of Directors or advisory committees, Research Funding; MorphoSys: Research Funding; InnoCare: Research Funding; Incyte: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding; TG Therapeutics: Membership on an entity's Board of Directors or advisory committees. Ansell: Bristol Myers Squibb, ADC Therapeutics, Seattle Genetics, Regeneron, Affimed, AI Therapeutics, Pfizer, Trillium and Takeda: Research Funding. Lin: Janssen: Consultancy, Research Funding; Legend: Consultancy; Bluebird Bio: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Vineti: Consultancy; Gamida Cell: Consultancy; Kite, a Gilead Company: Consultancy, Research Funding; Novartis: Consultancy; Takeda: Research Funding; Merck: Research Funding; Sorrento: Consultancy; Juno: Consultancy.

scholarly journals Circulating DNA for Molecular Response Prediction, Characterization of Resistance Mechanisms and Quantification of CAR T-Cells during Axicabtagene Ciloleucel Therapy

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 550-550 ◽  
Author(s):  
Brian Sworder ◽  
David M. Kurtz ◽  
Charles Macaulay ◽  
Matthew J. Frank ◽  
Stefan Alig ◽  
...  
Keyword(s):  
T Cells ◽  
Board Of Directors ◽  
Research Funding ◽  
Resistance Mechanisms ◽  
Advisory Board ◽  
Advisory Committees ◽  
Scientific Advisory Board ◽  
Car T ◽  
Scientific Advisory ◽  
Equity Ownership

Background: Anti-CD19 chimeric antigen receptor (CAR19) T-cells have significant activity in patients with relapsed/refractory DLBCL (rrDLBCL). While the majority of rrDLBCL patients receiving axicabtagene ciloleucel (Axi-cel)achieve complete responses, a significant subset of patients experience disease progression (Locke FL, et al. Lancet Oncol. 2019). Circulating tumor DNA (ctDNA) analysis has demonstrated utility for predicting therapeutic benefit in DLBCL, as well as for detecting emergent resistance mechanisms to targeted therapies. Here we apply cell-free DNA (cfDNA) analysis to patients receiving Axi-cel, to characterize molecular responses, resistance mechanisms, and to track CAR19 cells. Methods: We performed Cancer Personalized Profiling by Deep Sequencing (CAPP-Seq) on DNA from germline and plasma samples collected prior to CAR T-cell infusion, multiple time-points post infusion, and, where available, at the time of relapse from 30 patients receiving Axi-cel for rrDLBCL at Stanford University. We designed a novel hybrid-capture panel and analysis pipeline designed to detect both tumor variants, as well as Axi-cel specific recombinant retroviral sequences to quantify CAR19 levels in cfDNA. Tumor variants were identified prior to and following Axi-cel therapy to assess for emergent variants, and Axi-cel specific sequences were quantified. Results: The median follow-up for the 30 patients after Axi-cel infusion was 10 months, with 47% (14/30) of patients experiencing disease progression after Axi-cel therapy. We identified an average of 164.3 SNVs per case (range:1-685) before Axi-cel therapy; the most common coding variants identified at baseline were in MLL2 (29.2%), BCL2 (22.5%), and TP53 (19.3%). When treated as a continuous variable, pretreatment ctDNA levels were prognostic of PFS (HR 2.16, 95% CI 1.11-4.21, P=0.02). Using a previously established ctDNA threshold to stratify disease burden (2.5 log10(hGE/mL); Kurtz et al. JCO 2018), we observed significantly superior PFS in patients with low pretreatment ctDNA levels treated with Axi-cel (Fig. 1A). In the majority of Axi-cel treated patients (62.9%), ctDNA was detectable at day 28, and PFS was significantly longer in patients with undetectable ctDNA at this time-point (Fig. 1B). Multiple putative resistance mechanisms were identified at relapse after Axi-cel, including emergent variants in CD19, HVEM, and TP53, as well as copy number gains in PD-L1 (Fig. 1C). For example, in one patient, a CD19 stop-gain mutation, which was not detected prior to treatment or at the time of the first interim PET scan, emerged at the time of relapse (Fig. 1D). Finally, we found cfDNA evidence for Axi-cel DNA in 74% of patients 28 days after therapy, including in patients without evidence of circulating CAR T-cells in PBMCs. Axi-cel levels in cfDNA as measured by CAPP-Seq were significantly correlated with CAR19 flow cytometry (Pearson r=0.55, P=.015; Fig. 1E). Conclusions: Baseline and interim ctDNA measurements have prognostic significance in DLBCL patients being treated with CAR19 T-cells, and potential emergent resistance mutations, including in CD19, can be identified in patients via cfDNA analysis. Quantification of CAR19 T-cells using cfDNA is significantly correlated with flow cytometric quantification, indicating that these cells can be quantified via cfDNA. Taken together, these data indicate that cfDNA analysis is a powerful tool for predicting response to CAR19 therapy, identifying genomic determinants of resistance and quantifying CAR19 cells, which may in turn inform the next therapeutic steps. Figure 1: A) Kaplan Meier analysis of PFS, with patients stratified based on pre-Axi-cel therapy ctDNA level, above and below a previously established threshold (2.5 log10[haploid Genome Equivalents/mL]). B) A Kaplan Meier plot depicting PFS stratification for patients with detectable versus undetectable ctDNA at day 28 after Axi-cel infusion. C) Oncoprint depicting selected emergent and baseline tumor variants in progressors and non-progressors after Axi-cel therapy. D) Change in mean ctDNA variant allele frequency (VAF) and emergence of a CD19 stop-gain mutation (CD19 pTrpX) at the time of relapse in a patient who initially achieved a CR at day 28 after CAR19 infusion. E) Relationship between CAR19 T-cell quantification by cfDNA and flow cytometry. (ND: Not detected) Disclosures Kurtz: Roche: Consultancy. Chabon:Lexent Bio Inc: Consultancy. Khodadoust:Corvus Pharmaceuticals: Research Funding. Majzner:Xyphos Inc.: Consultancy; Lyell Immunopharma: Consultancy. Mackall:Obsidian: Research Funding; Lyell: Consultancy, Equity Ownership, Other: Founder, Research Funding; Nektar: Other: Scientific Advisory Board; PACT: Other: Scientific Advisory Board; Bryologyx: Other: Scientific Advisory Board; Vor: Other: Scientific Advisory Board; Roche: Other: Scientific Advisory Board; Adaptimmune LLC: Other: Scientific Advisory Board; Glaxo-Smith-Kline: Other: Scientific Advisory Board; Allogene: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Apricity Health: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Unum Therapeutics: Equity Ownership, Membership on an entity's Board of Directors or advisory committees. Diehn:Roche: Consultancy; Quanticell: Consultancy; Novartis: Consultancy; AstraZeneca: Consultancy; BioNTech: Consultancy. Miklos:Miltenyi Biotech: Membership on an entity's Board of Directors or advisory committees; Becton Dickinson: Research Funding; AlloGene: Membership on an entity's Board of Directors or advisory committees; Kite-Gilead: Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Juno: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Adaptive Biotechnologies: Membership on an entity's Board of Directors or advisory committees; Precision Bioscience: Membership on an entity's Board of Directors or advisory committees. Alizadeh:Genentech: Consultancy; Janssen: Consultancy; Pharmacyclics: Consultancy; Gilead: Consultancy; Celgene: Consultancy; Chugai: Consultancy; Roche: Consultancy; Pfizer: Research Funding.

scholarly journals Response to Bridging Therapy As a Predictor of Outcomes for Chimeric Antigen Receptor Therapy in Large B-Cell Lymphoma

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 3841-3841
Author(s):  
Arushi Khurana ◽  
Matthew Hathcock ◽  
Radhika Bansal ◽  
Yucai Wang ◽  
Jonas Paludo ◽  
...  
Keyword(s):  
B Cell ◽  
Board Of Directors ◽  
Research Funding ◽  
Cell Lymphoma ◽  
B Cell Lymphoma ◽  
Advisory Board ◽  
Bridging Therapy ◽  
Advisory Committees ◽  
Pet Ct ◽  
Car T

Abstract Background: Bridging therapy (BT) was not allowed in the ZUMA-1 pivotal trial for axicabtagene ciloleucel (axi-cel) chimeric antigen receptor T-cell therapy (CAR-T) . Since then, several real-world studies have shown the use of bridging therapy to be associated with worse overall survival, duration of response, and complete remission rates. In addition, patients requiring BT during CAR-T manufacturing have a more aggressive and higher tumor burden of disease, also factors associated with poor outcomes. Therefore, factors that can predict outcomes in this high-risk patient cohort are required. We herein examine the impact of response to BT on CAR-T outcomes in large B-cell lymphoma (LBCL). Methods: A retrospective review of patients who received axi-cel for NHL from June 2016 - July 2020 at Mayo Clinic, Rochester, was performed. BT was defined as any lymphoma-directed therapy given between leukapheresis and CAR-T infusion. Patients received BT if there were concerns for symptomatic progression of disease during CAR-T manufacturing, reducing the likelihood of eligibility to receive CAR-T. The decision and choice of BT were at the discretion of the treating physician. Response to all lymphoma-directed therapy was evaluated using the 2014 Lugano criteria. Response to BT included patients with a partial response (PR) or stable disease (SD) on PET-CT before initiating lymphodepletion chemotherapy. Event-free survival (EFS) was defined as the time from axi-cel infusion to progression, next treatment, or death. Overall survival (OS) was defined as the time from axi-cel infusion to death. Survival curves were calculated using Kaplan-Meier estimates and were compared between subgroups using the log-rank test. Cox regression was used for univariate and multivariate analysis (MVA). Results: A total of 73 patients underwent car T therapy during this period. Of these, 67% (49/73) received BT therapy. Table 1 shows baseline characteristics of the total BT cohort (n = 49). The median age at CAR-T infusion was 59 years (IQR 46-64); 57% were males and comprised of 47% (23/49) DLBCL followed by 31% (15/49) high-grade B-cell lymphoma types. Based on the Lugano criteria on PET-CT, 22/49 (45%) patients responded to BT. The baseline characteristics were comparable between the responders and non-responders to BT except for a higher proportion (73%) of patients receiving systemic chemotherapy as BT in the responders (Table 1). At a median follow-up of 24 months, 75% had either progressed, died, or started the next treatment (event), and 59% (29/49) had died. The median EFS was significantly longer in the responders as compared to the non-responders to BT, figure 1 (13.04 months (95%CI, 3.54-not reached [NR]) vs. 2.56 months (95%CI, 1.18-3.02), p = 0.002). The OS also trended in favor of the responders (median OS 18.4 months (95% CI, 13.44-NR) vs. 11.84 months (95% CI, 5.05-NR), p = 0.092). The responder group also had a higher 6-month CR rate of 50% than 11.1% in the non-responder group (p = 0.004). There were no differences in any grade or grade ≥ 3 cytokine release syndrome and neurotoxicity rates in the two groups. On univariate analysis within the bridging group (n = 49), type of bridge (non-chemo) and response to bridge (PR+SD) were associated with a better EFS. In the MVA, only response to BT maintained significance for EFS (HR 0.34, p = 0.025). Conclusions: Having some control of lymphoma after BT was associated with better EFS and 6-month CR rate. Future studies need to prospectively evaluate the type and response to BT as a prognostic factor for improving outcomes in patients receiving CAR-T. Figure 1 Figure 1. Disclosures Wang: InnoCare: Research Funding; Incyte: Membership on an entity's Board of Directors or advisory committees, Research Funding; LOXO Oncology: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding; Genentech: Research Funding; MorphoSys: Research Funding; Eli Lilly: Membership on an entity's Board of Directors or advisory committees; TG Therapeutics: Membership on an entity's Board of Directors or advisory committees. Paludo: Karyopharm: Research Funding. Bennani: Kymera: Other: Advisory Board; Vividion: Other: Advisory Board; Kyowa Kirin: Other: Advisory Board; Daichii Sankyo Inc: Other: Advisory Board; Purdue Pharma: Other: Advisory Board; Verastem: Other: Advisory Board. Ansell: Bristol Myers Squibb, ADC Therapeutics, Seattle Genetics, Regeneron, Affimed, AI Therapeutics, Pfizer, Trillium and Takeda: Research Funding. Lin: Kite, a Gilead Company: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Novartis: Consultancy; Celgene: Consultancy, Research Funding; Bluebird Bio: Consultancy, Research Funding; Juno: Consultancy; Legend: Consultancy; Sorrento: Consultancy; Gamida Cell: Consultancy; Vineti: Consultancy; Merck: Research Funding; Takeda: Research Funding.

scholarly journals Polatuzumab Vedotin Use before Chimeric Antigen Receptor T-Cell (CAR-T) Therapy in Aggressive Lymphoma: A US Single Center Experience

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 3842-3842
Author(s):  
Arushi Khurana ◽  
Radhika Bansal ◽  
Matthew Hathcock ◽  
Adrienne Nedved ◽  
Yucai Wang ◽  
...  
Keyword(s):  
Board Of Directors ◽  
Research Funding ◽  
Advisory Board ◽  
Single Center ◽  
Infection Rates ◽  
Bridging Therapy ◽  
Advisory Committees ◽  
Single Center Experience ◽  
Significant Difference ◽  
Car T

Abstract Background: Polatuzumab vedotin (Pola), an antibody drug conjugate targeting CD79b received FDA approval in combination with bendamustine and rituximab (Pola-BR) in June 2019. With CAR-T as destination therapy, the option of Pola-BR appears appealing with its superior efficacy and lack of potential interference with CAR-T due to different target antigens. However, clinical concerns remain regarding prolonged lymphopenia associated with benda and CAR-T manufacturing if used before apheresis. We reviewed the single center experience of all patients with exposure to polatuzumab around CAR-T for R/R aggressive NHL treated at Mayo Clinic Rochester. Methods: A review of patients that received at least one dose of Pola with the intent to proceed to CAR-T between July 1, 2019 and March 31st, 2021 at Mayo Clinic, Rochester were included. Response to therapy was based on 2014 Lugano criteria. Overall survival (OS) was defined as the time from CAR-T infusion to death, and event-free survival (EFS) as the time from CAR-T infusion to disease progression, next treatment, or death. Survival curves were calculated using Kaplan-Meier estimates, and were compared between subgroups using the log-rank test. Cox regression was used for multivariate analysis (MVA). Results: A total of 22 patients were identified during the study period. Of these 18 (82%), made it to CAR-T infusion (17 axi-cel, and 1 -tisa cel). 3 patients died due to progressive disease (PD) before CAR-T and one achieved complete remission (CR). In the pre-CAR-T Pola cohort (n = 22), the median age was 65.5 years (39-73), 50% were males, 96% had advanced stage and IPI ≥ 3. Median prior lines of treatment were 4.5 (2-6), 73% had primary refractory disease and 50% had myc rearrangement. 19 (86%) patients received Pola as bridging therapy and 8 were exposed to Pola before T-cell apheresis. Bendamustine was included in the treatment for 79% (15/19) for bridging therapy and 63% (5/8) with exposure pre-apheresis. For those in the bridging group, the overall response rate (ORR) was 26% (5/19), with one patient achieving CR with Pola-BR. Disease control (defined as those in a partial response [PR] or stable disease [SD]) was seen in 47% (9/19) patients. One of the 8 patients with pre-apheresis exposure to Pola, required an additional attempt at CAR-T manufacturing after the initial failure. At a median follow up of 48 weeks, the EFS and OS in 18 patient cohort with pre-CAR-T Pola exposure were 6.7 weeks (95% CI, 4.3-not reached [NR]) and 15 weeks (95% CI, 9.7-NR), respectively. At the data cut off (7/25/2021), 78% patients had died. As traditional chemo for bridging is a particularly poor prognostic group, we compared Pola-BR bridging group (n = 15), to other traditional chemo bridge group (n = 16) in our CAR-T database. Both groups had comparable baseline characteristics as shown in Table 1 except for higher proportion of patients with B-symptoms in the Pola-BR group at time of CAR-T. There was also no difference in the inflammatory markers (CRP and ferritin) at LD or peak level after CAR-T. Table 2 shows outcomes between the 2 groups with comparable any grade CRS, neurotoxicity, pre and post CAR-T infection rates. Best response ORR to CAR-T was higher in the other chemo group vs. Pola BR (81.2% vs. 33%, p = 0.027). There was a significant difference in the 6-month OS rate (other 81.3% [95%CI, 54.5-96] vs. pola 33.3% [95%CI, 11.8- 61.6], p = 0.007) but no significant difference in the 6-month EFS rate (other 37.5% [95%CI, 15.2-64.6%] vs. pola 13.3% [95%CI, 1.7-40.5%] p = 0.12) between the 2 groups (figure 1). On univariate analysis within the chemo type bridging cohort (Pola-BR + other traditional chemo, n = 31), presence of B-symptoms (HR 4.72, p = 0.002), ECOG PS &gt; 2 at CAR-T (HR 6.75, p = 0.0008), and type of bridge therapy (pola HR 6.57, p = 0.009) were associated with worse OS whereas a response to bridge (PR+SD, HR 0.39, 0.031) was favorable. On MVA, association was maintained for bridge type (pola, p &lt;0.001) and response to bridge (p &lt;0.001). Discussion: Pola based bridge was feasible in this US based cohort without significant issues with CAR-T manufacturing or increased infection rates. However, in this retrospective analysis, use of Pola-BR was associated with inferior outcomes compared to other traditional chemotherapy options. Future studies are required to elucidate whether these difference in outcomes stem from a biological basis versus bias in patient selection. Figure 1 Figure 1. Disclosures Wang: TG Therapeutics: Membership on an entity's Board of Directors or advisory committees; MorphoSys: Research Funding; Incyte: Membership on an entity's Board of Directors or advisory committees, Research Funding; Eli Lilly: Membership on an entity's Board of Directors or advisory committees; LOXO Oncology: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding; Genentech: Research Funding; InnoCare: Research Funding. Paludo: Karyopharm: Research Funding. Bennani: Kymera: Other: Advisory Board; Vividion: Other: Advisory Board; Kyowa Kirin: Other: Advisory Board; Daichii Sankyo Inc: Other: Advisory Board; Purdue Pharma: Other: Advisory Board; Verastem: Other: Advisory Board. Ansell: Bristol Myers Squibb, ADC Therapeutics, Seattle Genetics, Regeneron, Affimed, AI Therapeutics, Pfizer, Trillium and Takeda: Research Funding. Lin: Bluebird Bio: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Merck: Research Funding; Kite, a Gilead Company: Consultancy, Research Funding; Novartis: Consultancy; Janssen: Consultancy, Research Funding; Juno: Consultancy; Vineti: Consultancy; Takeda: Research Funding; Gamida Cell: Consultancy; Legend: Consultancy; Sorrento: Consultancy.

scholarly journals Potent Synergy between Combination of Chimeric Antigen Receptor (CAR) Therapy Targeting CD19 in Conjunction with Dendritic Cell (DC)/Tumor Fusion Vaccine in Hematological Malignancies

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3227-3227
Author(s):  
Marzia Capelletti ◽  
Jessica Liegel ◽  
Maria Themeli ◽  
Tuna Mutis ◽  
Dina Stroopinsky ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
Board Of Directors ◽  
Research Funding ◽  
Advisory Board ◽  
Advisory Committees ◽  
Car T Cells ◽  
Car T Cell ◽  
Car T ◽  
Equity Ownership

Introduction: CAR T cells have demonstrated unique potency for tumor cytoreduction and the potential for durable response in patients with advanced hematological malignancies. However, disease relapse remains a significant concern due to the emergence of antigen negative variants, tolerization of CAR T cell populations and lack of T cell persistence. We have developed a personalized cancer vaccine in which patient derived tumor cells are fused with autologous dendritic cells such that a broad array of tumor antigens is expressed in the context of DC mediated co-stimulation. Vaccination of patients with acute leukemia and multiple myeloma has been associated with the durable expansion of tumor specific lymphocytes in the bone marrow and peripheral blood, targeting of residual disease, and durable remission. We postulated that vaccination with DC/tumor fusions would enhance CAR T cell efficacy through the expansion of T cell clonal populations targeting tumor cells via the native TCR and the vaccine mediated enhancement of T cell activation and persistence. In addition, ex vivo engineered CAR T cells provide a substrate of functionally competent T cells with cytoreductive capacity in the setting of advanced disease. In the present study, we examined the potential synergy between CAR T cells targeting CD19 and syngeneic DC/tumor fusions. Methods/Results: CAR T cells and DC/tumor fusions were studied in the context of a murine A20 lymphoma model. CD19 CAR T cells were established through retroviral transduction of a CD19 CAR construct expressing CD28 and 41BBL syngeneic DC/A20 fusions were generated as previously described. Vaccine stimulated T cells were generated by coculturing splenocyte derived T cells with syngeneic DC/A20 fusion cells over a period of three days in a 10:1 ratio in the presence of low dose IL2. While CD19 CAR T cells effectively lysed a subset of A20 cells in a CTL, the addition of vaccine educated T cells increased the percentage of tumor cells undergoing CTL mediated lysis (20% vs 34%). We subsequently examined the interaction of vaccine and CAR T cells ex vivo using the IncuCyte S3 Live-Cell Analysis System which allows for live cell visualization of lysis of A20 cells over time. We studied the impact of combining vaccine educated and CAR T cells as well as an individual T cell population that underwent sequential vaccine mediated stimulation followed by transduction with the CD19 CAR. While vaccine educated and CAR T cells demonstrated potent lysis of A20 cells over time, coculture with either combined vaccine educated and CAR T cells or sequentially vaccine educated and transduced T cells demonstrated the highest levels of cytotoxicity that was maintained over time (1786 and 2338 signal overlap count per image at 23 hours compared to 123 of the control). Enhanced lysis by combined vaccine stimulation and CAR T cells was similarly demonstrated in another tumor cell line, 5TGM1, a multiple myeloma cell line transduced to express CD19. Cytotoxic killing of the 5TGM1-CD19 cells was most pronounced when combining vaccine educated and CAR T cells as compared to CAR T cells alone (33% vs 14%). Consistent with the broad targeting of vaccine educated as compared to the CAR T cell population, wild type 5TGM1 cells were recognized by the DC/tumor fusion stimulated cells in contrast to CAR T cells alone (40% vs. 8%). We subsequently examined the capacity of vaccine educated T cells in conjunction with CAR T cells to target A20 cells in an immunocompetent murine model. Mice were challenged with 1 x 10(6) A20 Mcherry-Luc and lymphoma engraftment was demonstrated at Day 7. Animals were then treated with 3 x 10(6) T cells consisting of CAR T cells, vaccine educated T cells or the combination. Serial bioluminescence imaging demonstrated greatest reduction in tumor burden using combined CAR T and vaccine educated T cells with 4/5 animals without BLI evidence of disease at day 13 after tumor challenge. Conclusions: In in vitro and immunocompetent murine models, we have demonstrated that combined therapy with T cells stimulated by DC/tumor fusions and CAR T cells exhibited potent lysis of murine lymphoma and myeloma cells as compared to the efficacy of CAR T cells or vaccine educated T cells alone. These findings suggest potent synergy between these modalities that may overcome recognized pathways of resistance including the broadening of the tumor specific response and vaccine mediated activation of CAR T cell populations. Disclosures Themeli: Covagen: Consultancy. Mutis:Janssen Research and Development: Research Funding; Celgene: Research Funding; Onkimmune: Research Funding; Genmab: Research Funding. Munshi:Adaptive: Consultancy; Amgen: Consultancy; Oncopep: Consultancy; Janssen: Consultancy; Celgene: Consultancy; Takeda: Consultancy; Abbvie: Consultancy. Kufe:Genus Oncology: Equity Ownership; Reata Pharmaceuticals: Consultancy, Equity Ownership, Honoraria; Nanogen Therapeutics: Equity Ownership, Membership on an entity's Board of Directors or advisory committees; Hillstream BioPharma: Equity Ownership; Victa BioTherapeutics: Consultancy, Equity Ownership, Honoraria, Membership on an entity's Board of Directors or advisory committees; Canbas: Consultancy, Honoraria. Rosenblatt:BMS: Research Funding; Amgen: Other: Advisory Board; Merck: Other: Advisory Board; BMS: Other: Advisory Board ; Parexel: Consultancy; Imaging Endpoint: Consultancy; Partner Tx: Other: Advisory Board; Dava Oncology: Other: Education; Celgene: Research Funding. Sadelain:Fate Therapeutics: Consultancy, Patents & Royalties; Memorial Sloan Kettering Cancer Center: Employment; Juno Therapeutics: Consultancy, Patents & Royalties, Research Funding. Avigan:Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pharmacyclics: Research Funding; Juno: Membership on an entity's Board of Directors or advisory committees; Partners Tx: Membership on an entity's Board of Directors or advisory committees; Partner Tx: Membership on an entity's Board of Directors or advisory committees; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy; Parexel: Consultancy; Takeda: Consultancy.

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