Academic literature on the topic 'Apricing methods'

Background: Characterization of T-cell receptor (TCR) diversity and dynamics is increasingly critical to understanding therapeutic immune responses targeting tumors. Current TCR profiling methods generally require invasive tissue biopsies that capture a single snapshot of immune activity or are limited by the sheer diversity of the circulating TCR repertoire. In theory, T-cells with the greatest turnover could best reflect pivotal immune dynamics from both circulating and tissue-derived compartments, including non-circulating tissue-resident memory T-cells (Trm). To noninvasively capture such responses in the blood, we developed and benchmarked a high-throughput TCR profiling approach using plasma, optimized for the fragmented nature of cfDNA and the non-templated nature of rearranged TCRs. We then applied this method for residual disease monitoring in mature T-cell lymphomas (TCL) without circulating disease and for characterizing immune dynamics after anti-CD19 chimeric antigen receptor (CAR19) T-cell therapy of B-cell lymphomas with axicabtagene ciloleucel. Methods: We developed SABER (Sequence Affinity capture & analysis By Enumeration of cell-free Receptors) as a technique for TCR enrichment and analysis of fragmented rearrangements shed in cfDNA and applied this method using Cancer Personalized Profiling by Deep Sequencing (CAPP-Seq). We used SABER to profile a total of 381 samples (300 cfDNA and 81 PBMC samples) from 75 lymphoma patients and 18 healthy controls. After mapping sequencing reads (hg38) to identify candidate rearrangements within TCR loci, unique cfDNA fragments were resolved by a novel strategy to define consensus of unique molecular identifiers clustered by Levenshtein distances, followed by CDR3-anchoring for enumeration of final receptor clonotypes. SABER thus leverages information from fragmented TCRs, a critical requirement for cfDNA, to make V gene, CDR3, and J gene assignments after deduplication-mediated error-correction. We benchmarked SABER against established amplicon-based TCR-β targeted sequencing (LymphoTrack, Invivoscribe) and repertoire analysis methods (MiXCR; Bolotin et al, 2015 Nature Methods) when considering both cfDNA and PBMC samples from healthy adults and TCL patients. We assessed SABER performance for tracking clonal molecular disease in patients with mature TCLs from both cellular and cell-free circulating compartments (n=9). Malignant TCL clonotypes were identified in tumor specimens using clonoSEQ (Adaptive Biotechnologies). Finally, we evaluated TCR repertoire dynamics over time in 66 DLBCL patients after CAR19 T-cell therapy. Results: SABER demonstrated superior recovery of TCR clonotypes from cfDNA compared to both amplicon sequencing (LymphoTrack, Invivoscribe) and hybrid-capture methods when enumerating receptors using MiXCR (Fig. 1A). When applied to blood samples from TCL patients, SABER identified the malignant clonal TCR-β rearrangement in 8/9 (88.9%) cases, with significantly improved detection in cfDNA (p=0.015, Fig. 1B). Specifically, tumoral TCR clonotype was detectable only in cfDNA in 6 cases (75%), cfDNA-enriched in 1 case (12.5%), and detectable only in PBMCs in 1 case (12.5%). We applied SABER to monitor TCR repertoire dynamics in cfDNA after CAR T-cell therapy of patients with relapsed/refractory DLBCL and observed increased T-cell turnover and repertoire expansion (greater total TCR-β clonotypes) (Fig. 1C). As early as 1-week after CAR19 infusion, TCR repertoire size was significantly correlated both with cellular CAR19 T-cell levels by flow cytometry (p=0.008) as well as with retroviral CAR19 levels in cfDNA (p=2.20e-07) suggesting faithful monitoring of CAR T-cell activity (Fig. 1D). TCR repertoire size one month after infusion was significantly associated with longer progression-free survival (HR 0.246, 95% CI 0.080-0.754, p=0.014). Conclusions: SABER has a favorable profile for cfDNA TCR repertoire capture when compared to existing methods and could thus have potential broad applicability to diverse disease contexts. Given the higher abundance of lymphoma-derived TCRs in cfDNA than intact circulating leukocytes, SABER holds promise for monitoring minimal residual disease in T-cell lymphomas. This approach also holds promise for monitoring T-cell repertoire changes including after CAR T-cell therapy and for predicting therapeutic responses. Disclosures Kurtz: Genentech: Consultancy; Foresight Diagnostics: Other: Ownership; Roche: Consultancy. Kim:Corvus: Research Funding; Eisai: Membership on an entity's Board of Directors or advisory committees, Research Funding; Elorac: Research Funding; Forty Seven Inc: Research Funding; Galderma: Membership on an entity's Board of Directors or advisory committees, Research Funding; Horizon Pharma: Consultancy, Research Funding; Innate Pharma: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Kyowa-Kirin Pharma: Research Funding; Medivir: Membership on an entity's Board of Directors or advisory committees; Merck: Research Funding; miRagen: Research Funding; Neumedicine: Consultancy, Research Funding; Portola: Research Funding; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees; Solingenix: Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Trillium: Research Funding. Mackall:Lyell Immunopharma: Consultancy, Current equity holder in private company; BMS: Consultancy; Allogene: Current equity holder in publicly-traded company; Apricity Health: Consultancy, Current equity holder in private company; Nektar Therapeutics: Consultancy; NeoImmune Tech: Consultancy. Miklos:Kite-Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Travel support, Research Funding; Adaptive Biotech: Consultancy, Other: Travel support, Research Funding; Juno-Celgene-Bristol-Myers Squibb: Consultancy, Other: Travel support, Research Funding; Novartis: Consultancy, Other: Travel support, Research Funding; Allogene Therapeutics Inc.: Research Funding; Pharmacyclics: Consultancy, Other: Travel support, Patents & Royalties, Research Funding; Janssen: Consultancy, Other: Travel support; Miltenyi Biotec: Research Funding. Diehn:Varian Medical Systems: Research Funding; Illumina: Research Funding; Roche: Consultancy; AstraZeneca: Consultancy; RefleXion: Consultancy; BioNTech: Consultancy. Khodadoust:Seattle Genetics: Consultancy; Kyowa Kirin: Consultancy. Alizadeh:Janssen: Consultancy; Genentech: Consultancy; Pharmacyclics: Consultancy; Chugai: Consultancy; Celgene: Consultancy; Gilead: Consultancy; Roche: Consultancy; Pfizer: Research Funding.

Background: Early data from anti-CD19 chimeric antigen receptor (CAR) T-cell trials suggest that concurrent infection can lead to poor outcomes. 1,2 The relationship between CAR T-cell mediated inflammatory responses and infections is not well-established. With CAR T-cell therapies more readily available, practitioners must identify which patient, disease and CAR T-cell specific parameters are associated with an increased risk of infection to optimize outcomes. We provide a comprehensive analysis of infection risk within the first 30 days after CAR T-cell infusion across multiple types of CAR T-cell trials targeting distinct antigens. Methods: This was a single-center, retrospective study conducted at the National Cancer Institute analyzing infectious complications in subjects who underwent CAR T-cell therapy on one of four phase I clinical trials, targeting CD19, CD22, B-cell maturation antigen (BCMA) or disialoganglioside (GD2) from 2012 though 2018. Baseline characteristics are in Table 1. The primary objective was to establish the incidence of infections between initiation of lymphodepleting (LD) chemotherapy through day 30 after CAR T-cell infusion. The secondary objective was to identify risk factors for infection. Patients were censored at relapse and/or initiation of alternative therapy, including treatment for relapse or consolidative hematopoietic stem cell transplantation (HSCT). Univariate screening methods were used to identify parameters associated with increased risk of infection Results: Amongst 144 subjects, 52 (36.1%) received anti-CD19 CAR T-cells (CAR-T); 53 (36.8%) received anti-CD22 CAR-T, 26 (18.1%) received anti-BCMA CAR-T; and 13 (9%) received anti-GD2 CAR-T. The median age was 18 years (range: 4 to 66). Sixty-one (42.4%) had undergone at least one prior allogeneic hematopoietic stem cell transplant (HSCT) and 24 (16.7%) had at least one prior autologous HSCT. Sixty-eight (47.2%) had a history of a recent infection within 100 days of initiation of LD chemotherapy, of which 17 were a major chronic infection and 9 were considered severe. Fifty-eight (40.3%) subjects experienced a total of 103 infections from initiation of LD chemotherapy through day 30 post CAR T-cell infusion, with the median time to first infection being 6 days post-CAR infusion. Twenty-eight (19.4%) subjects had more than 1 infection; 20 (13.9%) subjects had C. difficile infection. The 103 infections consisted of 47 (45.6%) distinct episodes of focal bacterial infections (e.g., sinusitis, pneumonia, urinary tract infection), 25 (24.2%) episodes of bacteremia, 22 (21.4%) viral infections, and 9 (8.7%) invasive fungal infections. Fourteen infections (13.6%) occurred between initiation of LD chemotherapy and day 0 (prior to CAR T-cell infusion). Fever and neutropenia, without a source, was documented as a distinct entity in 85 patients (59.0%). Using univariate statistical screening methods, we identified 4 parameters that were individually associated with an increased risk of infection: increasing number of prior therapies (p=0.0034), prior history of recent infection within the past 100 days (p=0.0064), age > 18 (p =0.028), or enrollment on the CD22 CAR trial (p=0.0028). Eliminating the trial, since that is not generalizable, and combining these into a multivariable logistic regression model identified age > 18, prior history of infection and prior lines of therapies jointly associated with an increased risk of infection. Using these parameters, a predictive model was developed, which, when applied to the data set used to develop the model, can correctly predict 69 of 86 patients without an infection (80.3%; CI: 70.3-88.0%) as well as 32 of 58 patients with an infection (55.2%; 95% CI: 41.5- 68.3%). Conclusion: In this retrospective analysis, we provide the largest experience to date analyzing infection in the setting of CAR T-cell therapy across multiple CAR constructs. Our study demonstrates that adult age, prior history of infection, increased number of prior therapies and enrollment on a particular CAR T-cell trial, in this case the CD22 CAR-T trial, may lead to a higher risk of infection than in those without these risk factors. Further investigations are underway to evaluate clinical outcomes with infection which occur in the peri CAR T-cell setting and potential strategies to minimize infection risk. Generalizability of this model will be tested in an independent data set. Disclosures Lee: Kite, a Gilead Company: Research Funding; Harpoon Therapeutics: Consultancy; Juno Therapeutics: Other: External Advisory Board; ACI Clinical on behalf of Celgene:: Other: Independent Central Quality Review Committee. 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. Kochenderfer:Kite and Celgene: Research Funding; Bluebird and CRISPR Therapeutics: Other: received royalties on licensing of his inventions. OffLabel Disclosure: Conditioning chemotherapy for CAR T-cell therapy; this is a retrospective study that used different lymphodepletion regimens.

Introduction: Immunomonitoring of chimeric antigen receptor (CAR) T cells relies primarily on their quantification in the peripheral blood, which inadequately quantifies their biodistribution and activation status in the tissues. Non-invasive molecular imaging of CAR T cell therapy by positron emission tomography (PET) is a promising approach providing spatial, temporal and functional information. Reported strategies for PET-based monitoring of CAR T cells rely on additional manipulation of the cell product such as the incorporation of reporter transgenes or ex vivo biolabeling, which significantly limits the wider application of CAR T cell molecular imaging. In the present study, we assessed the ability of antibody-based PET (immunoPET) to non-invasively visualize CAR T cells in vivo. Methods: For analysis of human CAR T cell activation, we analyzed publicly available RNA sequencing data (GSE136891) obtained at serial time points during in vitro culture of CD19.CD28z CAR T cells. We analyzed by mass cytometry (CyTOF) the ex vivo ICOS expression on human CD19-28z CAR T cells obtained from 31 patients receiving axicabtagene ciloleucel (Axi-cel) for relapsed/refractory diffuse large B-cell lymphoma (DLBCL). For in vivo murine experiments, CD19-expressing B-cell lymphoma A20 cells (2.5×10e5 cells) were injected by tail vein intravenously (i.v.) into sub-lethally (4.4 Gy) irradiated Thy1.2+ BALB/c mice. Seven days later, murine CD19.CD28z Luc+ Thy1.1+ CAR T cells (1×10e6) were i.v. injected. ICOS expression was analyzed by flow cytometry on CAR T cells recovered from spleen and bone marrow 5 days after injection. For imaging studies, anti-ICOS monoclonal antibody (mAb) specific for murine ICOS (clone:7E.17G9, BioXcell) was modified with the bifunctional chelator deferoxamine (DFO/p-SCN-Bn-Deferoxamine). The DFO-ICOS mAb conjugate was radiolabeled with 37 MBq (~1 mCi) of 89Zr-oxalate (final specific activity 6 µCi/µg/ml and radiochemical purity of 99%). 89Zr-DFO-ICOSmAb (45 μCi ± 3.6, 7.5 μg± 0.6) was injected i.v. 5 days post-CAR T cell administration and PET-CT imaging performed 48 hours later. Following PET-CT, mice were euthanized and radioactivity measured in dissected weighed tissues using a gamma-counter. Results: Analysis of RNA-sequencing data from human CAR T cells identified ICOS as an activation marker whose transcription was up-regulated and sustained during in vitro culture. ICOS was preferentially expressed on CAR+ T cells recovered at day 7 from axi-cel treated patients compared with CAR- cells (p<0.001; Figure 1A). Phenotypic analysis in a murine model of B cell lymphoma infiltrating the spleen and the bone marrow confirmed preferential ICOS expression on murine CAR T cells compared to resident cells in both spleen (p=0.003) and bone marrow (p=0.008). Figure 1B shows representative volume-rendered technique (VRT) PET/CT images of 89Zr-DFO-ICOS mAb-injected tumor-bearing mice either untreated (left panels) or that received mCD19.28z CAR T cells (right panels). 89Zr-DFO-ICOS mAb similarly accumulated in highly vascularized organs (heart, liver and spleen) of both untreated and CAR T cell treated mice, consistent with the biodistribution and clearance of intact antibodies. We detected pronounced 89Zr-DFO-ICOS mAb-PET signals in the bones of CAR T cell treated mice, particularly prominent in the lumbar spine, iliac bones, femur, tibia and humeral heads (Figure 1B). Region of interest analysis confirmed markedly increased radiotracer uptake in bones rich in bone marrow from CAR T treated mice compared with those of untreated mice (lumbar spine vertebrae p<0.001; iliac bones p=0.001; femur p=0.002; tibia p=0.002). Moreover we observed a slight, but statistically significant increase in radiotracer accumulation in the heart of CAR T cell-treated mice (p=0.004) while no significant differences were detected in spleen and liver. As expected, there was no significant signal difference in the muscle, considered background. Biodistribution analysis using gamma counting of tissues confirmed the PET results. Conclusions: We describe for the first time an immunoPET approach to monitor the in vivo dynamics of CAR T cell migration, expansion, and persistence that does not require the addition of reporter genes or ex vivo labeling, being therefore applicable to the clinical setting for the study of any commercially available and investigational CAR T cell products. Disclosures Miklos: Novartis: Consultancy, Other: Travel support, Research Funding; Allogene Therapeutics Inc.: Research Funding; Pharmacyclics: Consultancy, Other: Travel support, Patents & Royalties, Research Funding; Juno-Celgene-Bristol-Myers Squibb: Consultancy, Other: Travel support, Research Funding; Janssen: Consultancy, Other: Travel support; Miltenyi Biotec: Research Funding; Kite-Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Travel support, Research Funding; Adaptive Biotech: Consultancy, Other: Travel support, Research Funding. Mackall:BMS: Consultancy; Allogene: Current equity holder in publicly-traded company; Lyell Immunopharma: Consultancy, Current equity holder in private company; NeoImmune Tech: Consultancy; Nektar Therapeutics: Consultancy; Apricity Health: Consultancy, Current equity holder in private company. Gambhir:CellSight Inc: Current equity holder in private company. Negrin:Amgen: Consultancy; BioEclipse Therapeutics: Current equity holder in private company; Magenta Therapeutics: Consultancy, Current equity holder in publicly-traded company; Biosource: Current equity holder in private company; KUUR Therapeutics: Consultancy; UpToDate: Honoraria.

Introduction: The autologous anti-CD19 chimeric antigen receptor (CAR) T-cell therapy, axicabtagene ciloleucel (Axi-cel) improved long-term survival of patients with relapsed/refractory diffuse large B-cell lymphoma (r/r DLBCL). Long-term analysis of the pivotal ZUMA-1 trial indicates a 2-year PFS of ~40% (Locke, Lancet Oncology 2018). Early identification of patients with increased relapse risk may allow for early intervention and improved outcomes. In a pilot study of 6 ZUMA-1 patients, minimal residual disease (MRD) evaluation via a next-generation sequencing MRD assay (Adaptive Biotechnologies, Seattle, WA) to assess for circulating tumor (ct)DNA, mirrored clinical outcome as assessed by PET-CT (Hossain et. al. Leukemia & Lymphoma 2019). Based on these promising results, a multi-institutional prospective study utilizing cell-free MRD assessments to predict outcomes in r/r DLBCL patients after Axi-cel therapy was initiated. Methods: To identify tumor clonotype(s), tumor DNA extracted from archival paraffin-embedded tissue underwent PCR amplification of IgH-VDJ, IgH-DJ and IgKappa/Lambda regions using universal consensus primers. CtDNA levels were measured pre-LD, 0, 7, 14, 21, 28, 56, 90, 180, 270, and 365 days following Axi-cel infusion. PET-CT scans were obtained at baseline, Day 28, Month 3, 6, and 12 with response assessed per Lugano criteria. Deauville 1-3 was considered PET-negative. The protocol prespecified that patients with less than Day 28 follow-up be excluded from analysis. Any detectable ctDNA was considered MRD positive. Results: Here we report on the pre-planned analysis of the first 50 study patients with at least a Day 28 MRD assessment and 3 months of follow up. An additional 4 patients with at least 3 months of follow-up but who did not have a Day 28 MRD assessment were also included. Baseline characteristics and clinical outcomes of patients were similar to ZUMA-1 and a real-world analysis of 295 patient who received Axi-cel (Nastoupil et al ASH 2018). The median age was 61 years old (range 19-76) (53.7% male, 46.3% female) and 59% of patients received 3 or more prior lines of therapy (range 1-6). After a median follow-up of 7.5 months, the best overall response rate was 87% (47 of 54) and complete response rate was 57% (31 of 54). The median OS was not reached and median PFS was 4.6 months (panel A). At Day 28, 56% (28 of 50) of patients were MRD negative (MRD-neg) and 44% (22 of 50) were MRD positive (MRD-pos). As compared to MRD-pos, MRD-neg correlated with improved median PFS (not reached vs. 2.96 months, p<0.0001) and median OS (not reached vs.7.4 months, p=0.0005) (panels B and C). By PET assessment on Day 28, 46% (25 of 54) of patients were PET-negative (PET-neg) and 54% (28 of 54) were PET-positive (PET-pos). When compared to PET-pos patients, PET-neg patients demonstrated an improved median PFS (not reached vs. 3.1 months, p=0.0007) and median OS (both not reached, p=0.0096). MRD and PET-CT on Day 28 were able to identify patients relapsed by 6 months with similar sensitivity, 71% (95% CI: 48-89%) and 77% (95% CI: 55% to 92%), respectively. However, Day 28 MRD status had improved specificity as compared to Day 28 PET status, 94% (95% CI: 71% to 99%) versus 63% (95% CI: 38% to 83%). Day 28 MRD assessment was particularly helpful in identifying high-risk patients in the Day 28 PET-pos subgroups of patients with a PR (n=20) or SD (n=3) (panel D). This subgroup of patients with MRD-pos (n=13) had an inferior median PFS compared to those who were MRD-neg (n=10) (3.1 months vs. not reached, p=0.0033). Of note, one MRD-neg patient died without disease at 4.5 months. After excluding those (n=4) with progressive disease on Day 28 (all MRD-pos), 72% (16 of 22) of patients were MRD-pos at least 2 months prior to radiographic progression and 86% (19 of 22) were MRD-pos at least 1 month prior to radiographic progression. Conclusion: MRD monitoring using high-throughput sequencing of ctDNA has the potentially to make an impact on the clinical management of patients undergoing Axi-cel therapy. Furthermore, ctDNA is an informative tool to compare CAR19 therapies that vary by costimulatory domains or production methods. This technology potentially overcomes fundamental limitations of DLBCL imaging (cost, radiation exposure & limited repetition) and may minimize the need for surveillance PET-CT scans. These results provide a rationale for designing MRD-based risk-adaptive CAR T cell clinical trials. Figure Disclosures Kirsch: Adaptive Biotechnologies: Employment. Jacob:Adaptive Biotechnologies: Employment, Other: shareholder. Mullins:Adaptive Biotechnologies: Employment. Lee:Adaptive Biotechnologies: Employment, Equity Ownership. 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. Locke:Cellular BioMedicine Group Inc.: Consultancy; Kite: Other: Scientific Advisor; Novartis: Other: Scientific Advisor. Miklos: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; 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.

Introduction: Acute myeloid leukemia (AML) is the most prevalent acute leukemia in the United States, accounting for more than 11,000 deaths each year and with a 5-year overall survival rate of less than 30%. With the exception of Gemtuzumab ozogamycin, an anti-CD33 antibody drug conjugate, the landmark success of immunotherapy in other hematologic malignancies has not translated to AML. Chimeric antigen receptor (CAR) T cell therapy, in which T cells are engineered with redirected tumor specificity, holds promise for the treatment of AML, but optimal antigens for CAR targeting of AML remain to be defined. We identified CD93 as a novel target for AML CAR therapy given high expression on many AML samples and an important role in leukemia stem cell (LSC) biology. Here, we describe anti-leukemic efficacy of CD93 CAR T cells both in vitro and in murine xenograft models. Consistent with predictions based on CD93 expression within the hematopoietic compartment, we demonstrate minimal CAR T cell toxicity to hematopoietic progenitors. However, we identify endothelial cell toxicity as a significant on-target, off-tumor toxicity. We also analyze endothelial expression of other common AML targets including CD123 and CD38 at baseline and in an inflammatory microenvironment and propose a strategy to incorporate endothelial expression considerations into rational design of combinatorial CAR T cells for AML. Results/Methods: CD93 was expressed to some degree on 24/25 (96%) of primary AML specimens, and was homogeneously expressed in 17/25 (68%). T cells were engineered to express second generation CD93 CARs based on the scFv of a humanized monocloncal CD93 antibody (F11) linked to CD28-CD3ζ or 4-1BB-CD3ζ intracellular domains (CD93-28z and CD93-BBz, respectively). CD93-28z and CD93-BBz CAR T cells incubated in vitro with target cells demonstrated AML-specific cytokine production measured by ELISA and cytotoxicity measured by IncucyteTM assay. CD93 CAR T cell treatment of NOD-SCID-IL2Rγc-/- (NSG) mice engrafted with the human AML line THP-1 resulted in improved leukemic control in comparison to mock-treated mice. In a patient derived xenograft model of primary AML, CD93 CAR T cell treatment resulted in significantly improved leukemic clearance, T cell expansion, and prolonged survival compared to mock-treated mice. CD93 CAR T cells were incubated with cord-blood derived CD34+ cells to evaluate CD93 CAR recognition of hematopoietic stem cells (HSCs) and other hematopoietic progenitors. In an ELISA, CD93 CAR T cells did not produce cytokines against the bulk CD34+ population, in contrast to a positive control of AML. Additionally, after a 24h co-culture, CD93 CAR T cells did not kill any hematopoietic progenitor cells as assessed by flow cytometry. Furthermore, a methycellulose based colony forming assay confirmed that CD93 CAR T cells do not impact hematopoietic progenitor multipotent functional ability. We analyzed CD93 expression by immunohistochemistry of a tissue microarray of normal tissues. H-scores of all tissues analyzed were <100, generally accepted to signify low or no expression. However, we discovered strong staining of endothelial cells throughout multiple organ systems. CD93 expression was confirmed on endothelial cell lines iHUVEC and TIME, and CD93 CAR T cells produced cytokines when co-cultured with these endothelial cells. Hematopoietic cells and endothelial cells have a common developmental origin, and other AML CAR targets have been described as expressed on endothelial cells either at baseline or in the presence of inflammatory cytokines. A targeted analysis of CD123, CD38, and CD33 revealed that CD123 and CD38 are also expressed on endothelial cells, especially when cells are pretreated with IFN𝛾 and TNF⍺. Conclusion: Progress in generating effective CAR T cells for acute myeloid leukemia (AML) has been hampered the paucity of AML cell surface antigens that are not expressed on vital tissues. Combinatorial antigen targeting will likely play a major role in advancing CAR T cell therapy for AML. Our data support that endothelial expression at baseline and in an inflammatory microenvironment should be considered as a factor in any rational combinatorial targeting strategy, and that creative CAR engineering will be necessary for certain AML targets, including CD93, to circumvent endothelial toxicity. Disclosures Richards: Stanford University: Patents & Royalties: pending patent application for CD93 CAR. Sotillo:Lyell Immunopharma: Consultancy, Other: Consultancy. Hong:Genentech, Inc.: Current Employment; F. Hoffmann-La Roche: Current equity holder in publicly-traded company. Majzner:Zai Lab: Consultancy; Xyphos Biopharma: Consultancy; Aprotum Group: Consultancy; GammaDelta Therapeutics: Membership on an entity's Board of Directors or advisory committees; Illumina Radiopharmaceuticals: Consultancy; Lyell Immunopharma: Consultancy. Majeti:CircBio Inc.: Research Funding; Gilead Sciences, Inc.: Patents & Royalties: inventor on patents related to CD47 cancer immunotherapy; Stanford University: Patents & Royalties: pending patent application on CD93 CAR ; BeyondSpring Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Forty-Seven Inc.: Divested equity in a private or publicly-traded company in the past 24 months; Coherus BioSciences: Membership on an entity's Board of Directors or advisory committees; Zenshine Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Kodikaz Therapeutic Solutions Inc.: Membership on an entity's Board of Directors or advisory committees. Mackall:Lyell Immunopharma: Consultancy, Current equity holder in private company; BMS: Consultancy; Allogene: Current equity holder in publicly-traded company; Apricity Health: Consultancy, Current equity holder in private company; Nektar Therapeutics: Consultancy; NeoImmune Tech: Consultancy.

BACKGROUND: CD22 is expressed on the majority of B-cell malignancies. Autologous CAR T-cells targeting CD22 (CAR22) have yielded objective response rates (ORR) of 70-90% in pediatric patients with relapsed/refractory (R/R) B-cell acute lymphoblastic leukemia (ALL), including those who had previously failed CD19-directed CAR T-cell (CAR19) therapy. Based on these encouraging results, we evaluated CAR22 in adult patients with R/R ALL and for the first time in patients with R/R large B-cell lymphoma (LBCL), including those who had failed prior autologous CAR19 therapy. METHODS: This single-institution phase I dose escalation clinical trial (NCT04088890) is evaluating a CAR construct incorporating the m971 CD22 single chain variable fragments and 41BB/CD3z endodomains integrated within autologous T-cells via lentiviral transduction. After lymphodepletion with fludarabine and cyclophosphamide, patients were infused with fresh or cryopreserved CAR T-cells after a 7- to 11-day closed manufacturing process utilizing the CliniMACS Prodigy device (Miltenyi). The current cohort includes patients treated at dose level 1 (DL1), which was 1x106 CAR+ cells/kg. Primary objectives assessed the ability to successfully manufacture CAR22 and safety. Overall response rate (ORR) at 28 days post-infusion (D28) was a secondary objective. RESULTS: Three patients with LBCL have been enrolled with a median age of 53 years (range, 51-57) and a median of 6 (range, 5-8) prior lines of therapy. All three patients received prior CAR19 and had refractory disease to second-line or later therapy (n=3); had not undergone autologous hematopoietic stem cell transplantation (HSCT) (n=3); had MYC and BCL2 gene rearrangements (double-hit lymphoma; n=2); had high tumor burden (SPD >50 cm2; n=2); had a history of primary refractory disease (n=1); or had never achieved CR to any therapy (n=1). Six patients with ALL have been enrolled with a median age of 43.5 years (range, 23-62) and a median of 6 (range, 4-8) prior lines of therapy. All six patients received prior allogeneic HSCT and had Ph-positive disease (n=3); had central nervous system (CNS) involvement (n=3); had extramedullary disease (n=2); had high disease burden (BM blasts >5%; n=2); had received prior CD19-directed therapy (n=5); or had received prior CD22-directed therapy (n=3). Successful manufacturing of cells at DL1 was achieved in all patients. All patients (LBCL n=3, ALL n=6) reached day 28 and are included in the safety and response analysis presented here; updated results will be presented at the meeting. Eight patients (88.9%) experienced cytokine release syndrome (CRS); all were Grade 1-2. There were no cases of immune effector cell-associated neurotoxicity syndrome (ICANS). No differences in toxicities were seen across the patient age spectrum and no Grade 5 toxicities occurred following CAR22 infusion. In LBCL, all patients achieved a response at D28 (ORR=100%; CR, n=1, PR, n=2). Both patients with a D28 PR improved to CR by day 90 and 180. All patients remain in CR, with a median follow-up of 8.4 months (range, 6-9.3). In ALL, all patients achieved a CR at D28 (ORR=100%; MRD-, n=5, MRD+, n=1). After a median follow up of 5.1 months (range, 1-8.2), three patients relapsed at 2.5, 4, and 5.5 months after infusion; one patient died while undergoing subsequent therapy 7.3 months post-infusion. CD22 expression by flow cytometry was downregulated or absent in two patients after relapse. Peak CAR expansion as detected by peripheral blood flow cytometry reached a median level of 90.1 (LBCL; range, 85.4-350) and 43.4 (ALL; range, 0.9-399.6) CAR+ cells/µL between D14 and D21. In two LBCL patients with progression following CAR19, CAR22 levels were 11.7 and 55.9 fold higher than prior CAR19 levels at peak expansion. CONCLUSIONS: Infusion of CD22-targeting CAR T-cells in R/R LBCL and ALL is safe and well tolerated. Manufacturing of CAR22 was uniformly successful. To date, 3 of 3 heavily treated adult patients with LBCL whose disease relapsed after prior CAR19 have each achieved CR durable to at least 6 months. All adult ALL patients have achieved CR following CAR22, with some early relapses observed. Accrual is ongoing. Disclosures Negrin: Amgen: Consultancy; Biosource: Current equity holder in private company; UpToDate: Honoraria; KUUR Therapeutics: Consultancy; Magenta Therapeutics: Consultancy, Current equity holder in publicly-traded company; BioEclipse Therapeutics: Current equity holder in private company. Rezvani:Pharmacyclics: Research Funding. Shiraz:ORCA BioSystems: Research Funding; Kite, a Gilead Company: Research Funding. Sidana:Janssen: Consultancy. Mackall:BMS: Consultancy; Allogene: Current equity holder in publicly-traded company; Apricity Health: Consultancy, Current equity holder in private company; Nektar Therapeutics: Consultancy; NeoImmune Tech: Consultancy; Lyell Immunopharma: Consultancy, Current equity holder in private company. Miklos:Kite-Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: Travel support, Research Funding; Adaptive Biotech: Consultancy, Other: Travel support, Research Funding; Allogene Therapeutics Inc.: Research Funding; Juno-Celgene-Bristol-Myers Squibb: Consultancy, Other: Travel support, Research Funding; Novartis: Consultancy, Other: Travel support, Research Funding; Pharmacyclics: Consultancy, Other: Travel support, Patents & Royalties, Research Funding; Janssen: Consultancy, Other: Travel support; Miltenyi Biotec: Research Funding. Muffly:Amgen: Consultancy; Adaptive: Research Funding; Servier: Research Funding. OffLabel Disclosure: CD22-directed CAR T-cell Therapy for the treatment of adults with relapsed/refractory LBCL and B-ALL

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.

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.

Introduction: Chimeric Antigen Receptor (CAR) T cell therapy targeting CD19 has shifted our treatment approach for relapsed and refractory (r/r) pediatric B cell acute lymphoblastic leukemia (ALL). The landmark ELIANA pediatric trial studying tisagenlecleucel, CD19-specific CAR T cells, demonstrated a complete response (CR) rate of 81% in 75 infused patients and 12 month overall survival (OS) and event-free survival (EFS) rates of 76% and 50% respectively. Cytokine release syndrome (CRS) and neurotoxicity rates of 77% and 40% were respectively reported. In August 2017, the FDA approved tisagenlecleucel for B-cell ALL that is refractory or in second or greater relapse in patients up to age 25. With CAR commercialization, institutions deliver tisagenlecleucel without the regulation of a clinical study and practices relating to CAR delivery and reporting remain heterogeneous. Here, we report real world clinical outcomes using commercially available tisagenlecleucel for pediatric r/r B-ALL. Methods and Results: Retrospective data were collected from PRWCC member institutions (n=15) and included 200 patients. This includes 15 (7.5%) patients not infused due to manufacturing failure (n=6), death from disease progression and/or toxicity (n=7), or physician discretion following disease remission from prior therapy(n=2). The remaining 185 patients (92.5%) were infused with tisagenlecleucel, including 87% (161) receiving standard-of-care CAR T cell products meeting manufacturing release criteria and 13% (24) receiving CD19-CAR T cells manufactured by Novartis and provided on the managed access program (NCT03601442; n=14) or with single-patient IND approval (n=10). At time of CAR T cell infusion, median age was 12 years (range 0-26) with 40% females and 60% males. Median duration of follow-up at time of analysis was 11.2 months (range 0.2-28.8). The CR rate at 1 month follow up was 79% (156/198) on an intent-to-treat basis and 85% (156/184) among evaluable infused patients. Of infused patients achieving morphologic CR with available testing, 97% (148/153) were negative for MRD by flow cytometry. Duration of remission at 6 and 12 months among patients who achieved CR was 75% and 63% respectively, with 35% (55/156) of responders experiencing relapse. At time of relapse, 41% (21/51) of evaluable patients had relapse with CD19- disease and 59% (30/51) had continued CD19 expression. OS and EFS rates were 85% and 64% at 6 months and 72% and 51% at 12 months, respectively. CRS and neurotoxicity of any grade were seen in 60% (111/184) and 22% (39/181) of evaluable patients with ≥ grade 3 CRS and neurotoxicity rates of 19% (35/184) and 7% (12/181) respectively. One grade 5 CRS and 1 grade 5 neurotoxicity (intracranial hemorrhage) were reported. Post infusion toxicity management included tocilizumab in 26% (47/184) and systemic steroids in 14% (25/184) of patients. Among 181 infused patients with documented disease burden, 51% (95) had high burden (HB) disease , as defined by >5% bone marrow lymphoblasts, peripheral blood lymphoblasts, CNS3 status or non-CNS extramedullary (EM) site of disease; 22% (40) had low burden (LB) disease, defined by detectable disease not meeting the HB criteria; and 25% (46) had no detectable disease (NDD) at time of last evaluation prior to CAR infusion. The morphologic CR rate was lower at day 28 in HB vs. LB and NDD (74% vs. 98% and 96%) and the OS and EFS were lower among patients with HB at 6 mo [OS; 75% (HB), 94%(LB), 98% (NDD), EFS; 50% (HB), 86% (LB), 75%(NDD), p<0.0001] and 12 mo [OS; 58% (HB), 85% (LB), 95% (NDD), EFS; 34% (HB), 69%(LB), 72%(NDD), p<0.0001]. Multivariate analysis will be presented at the meeting. Conclusions: This retrospective, multi-institutional analysis describes real world outcomes using tisagenlecleucel to treat pediatric r/r B-ALL. Early responses at 1 month and OS and EFS at 6 and 12 months are comparable to reported ELIANA trial outcomes. Safety is demonstrated in this cohort with lower rates or CRS and neurotoxicity, likely related to a lower disease burden cohort. Continued relapse and decrease in OS without evident plateau is seen following 6 months post-infusion warranting expanded follow up. Comparative analysis of outcomes in patient cohorts with varying disease burden demonstrate decreased CR, EFS and OS in patients with high disease burden as compared to patients with lower disease burden or no detectable disease at last evaluation prior to CAR infusion. Disclosures Phillips: Novartis: Membership on an entity's Board of Directors or advisory committees. Stefanski:Novartis: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Margossian:Novartis: Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees. Verneris:Fate Therapeutics: Consultancy, Current equity holder in publicly-traded company; Novartis: Membership on an entity's Board of Directors or advisory committees; Bmogen: Consultancy, Current equity holder in publicly-traded company; Uptodate: Consultancy. Myers:Novartis: Consultancy, Honoraria, Other: ELIANA trial Steering Committee, Speakers Bureau. Brown:Jazz: Honoraria; Servier: Honoraria; Janssen: Consultancy; Novartis: Consultancy. Qayed:Novartis: Consultancy; Mesoblast: Consultancy. Hermiston:Novartis: Membership on an entity's Board of Directors or advisory committees; Sobi: Membership on an entity's Board of Directors or advisory committees. Satwani:Takeda: Consultancy; Mesoblast: Consultancy. Curran:Novartis: Consultancy, Research Funding; Mesoblast: Consultancy; Celgene: Research Funding. Mackall:Lyell Immunopharma: Consultancy, Current equity holder in private company; Nektar Therapeutics: Consultancy; NeoImmune Tech: Consultancy; Apricity Health: Consultancy, Current equity holder in private company; BMS: Consultancy; Allogene: Current equity holder in publicly-traded company. Laetsch:Cellectis: Consultancy; Novartis: Consultancy, Research Funding; Pfizer: Research Funding; Bayer: Consultancy, Research Funding.

Background The success of allogenic stem cell transplantation in curing AML suggests that the immune system can be harnessed to eradicate AML. In a phase 2 trial (NCT02397720) in relapsed/refractory (R/R) AML patients, we demonstrated that the azacitidine/nivolumab combination improved response rates and median overall survival compared with similar patients treated on other azacitidine-based studies (Daver et al Cancer Discovery 2019). The heterogenous response profiles and shorter duration of responses than seen in solid tumor patients suggested hitherto undefined tumor intrinsic, tumor microenvironment (TME) and T cell factors may impede PD-1 blockade therapy in AML. Methods We performed single cell RNA sequencing (scRNAseq) of 13,633 healthy bone marrow (BM) donor, and 113,394 BM cells from 22 aspirates (8 pre- and 14 post- treatment) from 8 R/R AML patients (median age 73 years; range 64-88 years) treated with azacitidine/nivolumab (Fig 1A). 3/8 patients were responders (2CR, 1 PR), while 2/8 and 3/8 had stable disease (SD), and no response (NR), respectively, allowing us to evaluate factors involved in response, relapse and resistance to azacitidine/nivolumab. Results A total of 60,753 AML and 52,641 TME cells passed scRNAseq quality check, with the proportion of identified AML cells correlating with clinical flow cytometry (r=0.87, p=1.5x10-7) and immunohistochemistry (r=0.73, p=0.0001). Pre- and post-treatment AML cells clustered by patient and had distinct cell cycle profiles regardless of response type, suggesting significant inter-tumor heterogeneity (Fig 1B). In an aggregate analysis of all cells at the pretreatment timepoint, the 3 responders had lower leukemia stemness (LSC17) scores compared with NR (p<2.2x10-16) and SD (p<10-6) patients. Inferred copy number loss of chromosome 7/7q by scRNAseq was consistent with clinical karyotype and was associated with resistance to PD-1 based therapy (Figure 1C). PT3 (CR) had an emergent chromosome 7q deletion after 6 months on treatment, which preceded the clinical relapse. To further explore whether deletion 7/7q was associated with resistance to PD1-blocakde-based therapy, we evaluated 57 R/R AML patients treated on azacitidine/nivolumab with available pretreatment cytogenetic profiling. Only 10.5% (2/19) patients with deletion 7/7q achieved a CR/CRI to azacitidine/nivolumab compared with 36.8% (14/38) of patients without the deletion (p=0.03) (Fig 1D). To decouple azacitidine from nivolumab effect, we evaluated an independent cohort of R/R AML (n=99) treated on azacitidine-based studies without immune checkpoint blockade (ICB) and found no such correlation, suggesting that deletion 7/7q induced resistance may be primarily in PD-1 blockade therapy setting (Fig 1E). IFNgpathway genes were enriched (q<0.0005) in chromosome 7q region indicating that IFNg pathway loss may modulate resistance to ICB based therapies in AML. Pathway enrichment revealed AML cells with higher oxidative phosphorylation, reactive oxygen species and glycolytic/metabolic pathways were more likely to be resistant to PD-1 blockade-based therapy (Fig 1F). On paired single cell TCR analysis from 4,742 and 26,095 T cells from healthy and R/R AML BMs, respectively, T cells in the TME of AML patients had less clonal diversity and more oligoclonal dominance compared to healthy BMs (Fig 1G-H). Following treatment 76.9% and 72.4% of novel and expanded clones were contributed by responders, with non-responders contributing only 5% and 3.4% of the novel and expanded clones, respectively (Fig. 1I). Among responders, the majority of clones were either novel or expanded, whereas NR had mostly contracted clones. Conclusions: This is one of the first studies examining the effect of PD-1 blockade at single cell resolution in a hematologic malignancy. Further, this is the largest single study analyzing single AML cells longitudinally. AML cells harboring deletion 7/7q loss, enriched for LSC signature and metabolic/oxidative pathways, were features associated with resistance to azacitidine/nivolumab therapy. Azacitidine/nivolumab induced novel and expanded T cell clonotypes primarily in responders. Disentangling AML cells from their complex microenvironment revealed characteristics that shaped resistance to ICB-based therapy and could inform strategies to target AML vulnerabilities. Disclosures DiNardo: Takeda: Honoraria; Novartis: Consultancy; AbbVie: Consultancy, Honoraria, Research Funding; Syros: Honoraria; MedImmune: Honoraria; Jazz: Honoraria; Agios: Consultancy, Honoraria, Research Funding; ImmuneOnc: Honoraria; Daiichi Sankyo: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Calithera: Research Funding; Notable Labs: Membership on an entity's Board of Directors or advisory committees. Kadia:Pfizer: Honoraria, Research Funding; Cyclacel: Research Funding; Incyte: Research Funding; Novartis: Honoraria; Abbvie: Honoraria, Research Funding; Astellas: Research Funding; Cellenkos: Research Funding; Ascentage: Research Funding; Amgen: Research Funding; JAZZ: Honoraria, Research Funding; BMS: Honoraria, Research Funding; Astra Zeneca: Research Funding; Celgene: Research Funding; Genentech: Honoraria, Research Funding; Pulmotec: Research Funding. Ravandi:Celgene: Consultancy, Honoraria; Orsenix: Consultancy, Honoraria, Research Funding; Macrogenics: Research Funding; Astellas: Consultancy, Honoraria, Research Funding; AstraZeneca: Consultancy, Honoraria; Jazz Pharmaceuticals: Consultancy, Honoraria, Research Funding; Xencor: Consultancy, Honoraria, Research Funding; BMS: Consultancy, Honoraria, Research Funding; Amgen: Consultancy, Honoraria, Research Funding; Abbvie: Consultancy, Honoraria, Research Funding. Borthakur:Xbiotech USA: Research Funding; BioLine Rx: Research Funding; PTC Therapeutics: Consultancy; BioLine Rx: Consultancy; Incyte: Research Funding; Novartis: Research Funding; Jannsen: Research Funding; Abbvie: Research Funding; Cyclacel: Research Funding; Argenx: Consultancy; FTC Therapeutics: Consultancy; Treadwell Therapeutics: Consultancy; PTC Therapeutics: Research Funding; Polaris: Research Funding; BMS: Research Funding; Oncoceutics: Research Funding; Nkarta Therapeutics: Consultancy; BioTherix: Consultancy; GSK: Research Funding; Curio Science LLC: Consultancy; AstraZeneca: Research Funding. Konopleva:Ascentage: Research Funding; Eli Lilly: Research Funding; Rafael Pharmaceutical: Research Funding; Forty-Seven: Consultancy, Research Funding; Ablynx: Research Funding; Amgen: Consultancy; F. Hoffmann La-Roche: Consultancy, Research Funding; AstraZeneca: Research Funding; AbbVie: Consultancy, Research Funding; Calithera: Research Funding; Reata Pharmaceutical Inc.;: Patents & Royalties: patents and royalties with patent US 7,795,305 B2 on CDDO-compounds and combination therapies, licensed to Reata Pharmaceutical; Kisoji: Consultancy; Cellectis: Research Funding; Sanofi: Research Funding; Genentech: Consultancy, Research Funding; Stemline Therapeutics: Consultancy, Research Funding; Agios: Research Funding. Garcia-Manero:Genentech: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Research Funding; Jazz Pharmaceuticals: Consultancy; Acceleron Pharmaceuticals: Consultancy, Honoraria; Helsinn Therapeutics: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Bristol-Myers Squibb: Consultancy, Research Funding; Astex Pharmaceuticals: Consultancy, Honoraria, Research Funding; Amphivena Therapeutics: Research Funding; Novartis: Research Funding; AbbVie: Honoraria, Research Funding; H3 Biomedicine: Research Funding; Onconova: Research Funding. Green:KDAc Therapeutics: Current equity holder in private company. Sharma:Achelois: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Apricity Health: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; BioAlta: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Codiak BioSciences: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Constellation: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Dragonfly Therapeutics: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Forty-Seven Inc.: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Hummingbird: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; ImaginAb: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Jounce Therapeutics: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties; Lava Therapeutics: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Lytix Biopharma: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Marker Therapeutics: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Oncolytics: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Infinity Pharma: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; BioNTech: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Glympse: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Polaris: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees. Allison:Achelois: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Apricity Health: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; BioAlta: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Codiak BioSciences: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Dragonfly Therapeutics: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Forty-Seven Inc.: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Hummingbird: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; ImaginAB: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Jounce Therapeutics: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties; Lava Therapeutics: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Lytix Biopharma: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Marker Therapeutics: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Polaris: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; BioNTech: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; Adaptive Biotechnologies: Consultancy, Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees. Daver: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; Jazz: Consultancy, Membership on an entity's Board of Directors or advisory committees; Trillium: Consultancy, Membership on an entity's Board of Directors or advisory committees; Syndax: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; KITE: Consultancy, Membership on an entity's Board of Directors or advisory committees; Agios: Consultancy, Membership on an entity's Board of Directors or advisory committees; Fate Therapeutics: Research Funding; Bristol-Myers Squibb: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Karyopharm: Research Funding; Servier: Research Funding; Genentech: Research Funding; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novimmune: Research Funding; Gilead: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Trovagene: Research Funding; ImmunoGen: Research Funding; Daiichi Sankyo: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding.

Abstract The following thesis discusses the problems of apprising methods of real estate with regard to subjective factor which is inherited in the process by the appricing subject. It discusses methods, evaluations and points out possible disturbing effects and faults which could influence these methods. The example case study shows possibilities in using the power of fuzzy logic, which contributes in a significant way to higher transparency, reproducibility and portability of the whole appricing process. The main goal of the thesis is to introduce the advantages and power of a new evaluation method in the appricing process.