Next-Generation Sequencing Analysis of Clonal Hierarchy and Dynamics in T-Large Granular Lymphocyte Leukemia Suggests Emergence of STAT3 Clones within Pre-Existing Dominant T-Cell Repertoire Responses Otherwise Silenced in Normal Individuals

Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 2731-2731
Author(s):  
Peter W Chomczynski ◽  
Michael J. Clemente ◽  
Srinivasa Reddy Sanikommu ◽  
Alek d Nielsen ◽  
Cassandra M. Hirsch ◽  
...  

Abstract T-large granular lymphocyte leukemia (T-LGLL) is a clonal lymphoproliferative disorder of cytotoxic T-cells (CTL) that is associated with cytopenias, predominantly neutropenia and reticulocytopenic anemia. From a scientific point of view, T-LGLL provides a natural model to study the dynamics of CTL responses; the heterogeneity of the disorder allows for examining the diversity of CTL responses in both autoimmune disorders and putatively chronic reactive conditions. A proportion of patients may have an extreme reactive process that mimics an indolent neoplastic lymphoproliferation. NGS and deep T-cell repertoire (TCR) sequencing provide insight into the clonal dynamics at work in T-LGLL patients. A large proportion of T-LGLL patients present with a bona-fide low-grade leukemia; this notion is supported by the discovery of recurrent somatic STAT3 mutations in some patients. STAT3 clonal burden represents an excellent marker that can be serially monitored along with clinical milestones to ultimately gain a more comprehensive understanding of disease etiology and natural history. We collected a cohort of 183 LGLL patients and screened them via deep NGS for mutation status of STAT3. In 36% of patients, 4 distinct somatic mutations (Y640F, N647I, D661V, D661Y) were identified in the SH2 domain of STAT3. In patients with wildtype STAT3, no somatic mutation was implicated in clonal expansion except for a small minority with STAT5 mutations present. We performed a longitudinal analysis of 20 representative STAT3-mutated T-LGLL patients with up to 10-year follow-up and an average of 7 analyzed blood samples per case. All serial samples were deep-sequenced to detect and determine the VAF of the known STAT3 mutations. Overall, STAT3 mutation VAF had a significant, inverse relationship to both hemoglobin and absolute neutrophil count (ANC) (both p<=0.001). In 7/11 cases harboring the Y640F mutation, chemotherapy led to remission accompanied by a decrease in VAF; 3 were asymptomatic and received no treatment. In patients with D661V or D661Y, 6/9 achieved remission with treatment. Only 1/3 cases with N647I entered remission. This longitudinal cohort can be sub-categorized into distinct patterns of clonal dynamics: 1) emerging STAT3 mutation in 20% of patients with a decrease in ANC as VAF of STAT3 clones expand; 2) an opposite trend in 40% of patients where VAF decreased due to therapeutic manipulations; 3) stable VAF in 20% of patients with little change over time; 4) codominant or dominant/secondary STAT3 mutations with distinct subclonal burden in 20% of patients. We performed deep TCR NGS on a representative subset of 9 patients to explore how STAT3 mutations correlated with T-cell clonal expansions. The data were processed by an extensive bioanalytic pipeline to quantify the relative abundance of each CDR3 rearrangement within a patient's TCR. Our cohort had an average of over 53,000 CDR3 templates per sample and was compared with 587 healthy controls. Our results demonstrate multiple patterns of clonal dynamics over the course of T-LGLL. Within each case, the immunodominant clones in serial samples were identified and correlated with STAT3 VAF burden over time. When patients were in remission, both STAT3 VAF and clonality were typically low. Interestingly, functional remission occurred in 2 cases despite increases in both clonality and STAT3 VAF. In 5/9 cases, the T-LGLL process involved 1 STAT3 mutation and 1 corresponding pathogenic clonotype displaying similar dynamics over time. In patients with 2 mutations, multiple high-frequency clonotypes were observed. Most significantly, comparison of STAT3 VAF and the dominant clonotype(s) revealed that STAT3 mutation can arise within a pre-existing clonal expansion that may harbor 2 branching mutations in extreme cases. Identification of CDR3 rearrangement sequences allowed for analysis of the distribution of clonotypes among patients and controls. The pathogenic clonotypes found in T-LGLL patients were detected in a high proportion of controls but at extremely low frequencies. This suggests that these potentially autoimmune clones exist in normal individuals but are effectively suppressed. No pathogenic clonotypes were shared among disease patients. In sum, analysis of clonal dynamics suggests that STAT3 mutations can occur in the context of pre-existing oligoclonal responses and involve otherwise low-frequency clonal specificities. Disclosures Sekeres: Celgene: Membership on an entity's Board of Directors or advisory committees; Millenium/Takeda: Membership on an entity's Board of Directors or advisory committees. Carraway:Celgene: Research Funding, Speakers Bureau; Baxalta: Speakers Bureau; Incyte: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees. Mustjoki:Novartis: Honoraria, Research Funding; Pfizer: Honoraria, Research Funding; Bristol-Myers Squibb: Honoraria, Research Funding; Ariad: Research Funding.

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4819-4819
Author(s):  
Monzr M. Al Malki ◽  
Sumithira Vasu ◽  
Dipenkumar Modi ◽  
Miguel-Angel Perales ◽  
Lucy Y Ghoda ◽  
...  

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


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4295-4295
Author(s):  
Abhay Singh Singh ◽  
Nuria Mencia-Trinchant ◽  
Elizabeth A. Griffiths ◽  
Mahesh Swaminathan ◽  
Matthew Gravina ◽  
...  

Abstract Background. DNA methylation is a key epigenetic process involved in development, aging, and cancer. Mutations in DNMT3A and TET2 in the hematopoietic stem cell compartment lead to increased self-renewal. In addition to mutations in ASXL1, collectively, these DTA mutations are recognized as an aging phenomenon, known as the most common Clonal hematopoiesis of Indeterminate Potential (CHIP) mutations and alone are not predictive of increased risk for hematopoietic malignancy. Recently, DNMT3A mutations in donor hematopoietic cells were suggested to be associated with enhanced T-cell activity in allografted patients. Additionally, role of DNMT3A mutations in creating a proinflammatory state in cardiovascular disease setting and associated elevation of T-cell markers in the myocardium have been recently explored (Sano S et al. Circ Res. 2018). Since an inflamed tumor microenvironment is associated with improved immune checkpoint inhibitors (CPI) activity, we sought to determine the impact of CHIP (a proinflammatory state) on response to CPI and CPI's effects on clonal dynamics. Additionally, while classical chemotherapy (CTX) can create selective external pressure providing survival advantage to mutant stem cells, the selective pressure of T-cell activating therapies on hematopoietic stem cells is unclear. Methods. To study the relationship between CHIP and CPI, we used paired peripheral-blood samples taken before and after treatment with CPI therapy in patients (pts) with melanoma (MEL; n= 32) and non-small cell lung cancer (NSCLC; n=109). Serial samples (or post CPI samples) were evaluable in 5 MEL pts and 6 NSCLC pts. Error-corrected sequencing of a targeted panel of genes recurrently mutated in clonal hematopoiesis (CH) was performed on peripheral blood genomic DNA. Statistical comparisons between baseline and serial sample VAFs were performed using two-sided fisher's exact test, with a p &lt; 0.05 considered significant. Results. In both the MEL and NSCLC cohort, baseline samples were collected before extensive therapy exposure. 90% (29/32) of the MEL cohort had no CTX or targeted therapy prior to the baseline sample; 28% (9/32) had prior radiotherapy (RT). 10% (11/109) of the NSCLC cohort samples had prior CTX, but only 2 of these were treated for more than 1 month before sample collection. CH was frequent in these minimally pre-treated patient samples; 28.1% (9/32) and 37.6% (41/109) of the baseline MEL and NSCLC samples, respectively. As expected, DTA mutations were the most common events in these cohorts. Samples with CH were from patients of older age, but had normal hematological parameters with exception of increased RDW (p=0.022). Primary tumor responses in this cohort were defined as durable (receipt of ≥12 CPI cycles) or not durable (&lt;12 cycles). DNMT3Amut patients (VAF ≥1%, n=5) had more durable responses, i.e. higher median number of CPI cycles (21 cycles, range:10-40) compared to non-DNMT3Amut pts (7 cycles, range:1-13; p= NS). Additionally, pts with larger DNMT3Amut clones (figure 1- MEL cohort) tended to receive higher numbers of CPI cycles. In the serial sample analysis, we observed that mutations in DNMT3A and TET2 increased in size with longer CPI exposures (Figure 2, MEL cohort); pts 2, 3 and 5 received 13, 15 and 18 CPI cycles respectively, while pt 4 with the most notable clonal expansion in DNMT3A received 40 CPI cycles. All serial samples in MEL cohort showed a statistically significant change in VAF from baseline. In the serial sample analysis of NSCLC pts, we observed that those with ≥ 3 months of CPI exposure demonstrated decreases in clone size for non-DTA gene mutations such as SRCAP, STK11 and TPM1 (Table 1), but increases or stability in DNMT3A and TET2 mutations (Table 1). However, this VAF increase in DNMT3A and TET2 mutations in NSCLC cohort was not statistically significant. Conclusions. In this small cohort of pts with MEL and NSCLC, the presence of DNMT3A/TET2 CH was associated with longer checkpoint inhibitor exposure and increased allelic frequency over time. These findings need further validation in larger cohorts and delineation of the relationship between DTA mutations such as DNMT3A and enhanced immune activity. Acknowledgement: Data and samples for this study were provided by the Data Bank and BioRepository (DBBR), which is funded by the National Cancer Institute (P30 CA016056) and is a Roswell Park Cancer Institute Cancer Center Support Grant shared resource. Figure 1 Figure 1. Disclosures Griffiths: Taiho Oncology: Consultancy, Honoraria; Alexion Pharmaceuticals: Consultancy, Research Funding; Novartis: Honoraria; Boston Biomedical: Consultancy; Astex Pharmaceuticals: Honoraria, Research Funding; Celgene/Bristol-Myers Squibb: Consultancy, Honoraria, Research Funding; Apellis Pharmaceuticals: Research Funding; Genentech: Research Funding; Takeda Oncology: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria. Hassane: Tempus Labs, Inc: Current Employment. Guzman: SeqRx: Consultancy; BridgeMedicines: Consultancy; Cellectis: Membership on an entity's Board of Directors or advisory committees; Daiichi Sankyo: Membership on an entity's Board of Directors or advisory committees. Wang: Jazz Pharmaceuticals: Consultancy, Honoraria, Other: Advisory Board; Genentech: Membership on an entity's Board of Directors or advisory committees; Kite Pharmaceuticals: Consultancy, Honoraria, Other: Advisory Board; Kura Oncology: Consultancy, Honoraria, Other: Advisory board, steering committee, Speakers Bureau; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees; GlaxoSmithKline: Consultancy, Honoraria, Other: Advisory Board; BMS/Celgene: Membership on an entity's Board of Directors or advisory committees; Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy, Honoraria, Other: Advisory Board; Mana Therapeutics: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria, Other: Advisory Board, Speakers Bureau; Stemline Therapeutics: Consultancy, Honoraria, Other: Advisory board, Speakers Bureau; Takeda: Consultancy, Honoraria, Other: Advisory board; DAVA Oncology: Consultancy, Speakers Bureau; Rafael Pharmaceuticals: Other: Data safety monitoring committee; Gilead: Consultancy, Honoraria, Other: Advisory board; Daiichi Sankyo: Consultancy, Honoraria, Other: Advisory board; PTC Therapeutics: Consultancy, Honoraria, Other: Advisory board; Genentech: Consultancy; MacroGenics: Consultancy.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 2325-2325 ◽  
Author(s):  
Hongtao Liu ◽  
Jae-Hyun Park ◽  
Noreen Fulton ◽  
Kazuma Kiyotani ◽  
Yusuke Nakamura ◽  
...  

Abstract We are conducting a clinical trial titled "Randomized Phase II Study to Assess the Role of Nivolumab as Single Agent to Eliminate Minimal Residual Disease and Maintain Remission in Acute Myelogenous Leukemia (AML) Patients After Chemotherapy" (REMAIN trial) (NCT02275533). A critical barrier in developing immunotherapies is the identification of predictive biomarkers of response to therapy. T lymphocytes play critical roles in response to immunotherapies but their clonality and temporal changes in the T cell repertoire during treatment have not been well investigated. Recent advances in deep sequencing technology make it possible to characterize the T cell receptor (TCR) repertoire generated following immunotherapy. In this study, we characterized T cell repertoire in peripheral blood and/or bone marrow samples of three AML patients on the REMAIN trial before and after nivolumab treatment. Using Illumina MiSeq sequencer and total RNA from each sample, we conducted deep sequencing of TCR-α and -β chains, and calculated the diversity index (inverse Simpson's index) in their CDR3 sequences to assess overall clonality of T cells. We obtained total CDR3 clonotypes of 420,765 ± 155,449 (average ± standard deviation) for TCR-α and 410,786 ± 115,219 for TCR-β per each sample. Interestingly, we found that certain TCR-α and -β clonotypes were drastically enriched in the bone marrow samples after nivolumab treatment. Many of these enriched TCR clonotypes were minimal or undetectable before nivolumab treatment, indicating that nivolumab might induce expansion of anti-AML T cell subclones. Particularly, nivolumab treatment led to marked reduction of TCR diversity indexes in both peripheral blood and bone marrow samples of one AML patient, who had shown a clearance of minimal residual disease as detected by WT1 qRT-PCR. Our results thus far indicate the feasibility of this type of comprehensive analysis of TCR repertoire in the context of immunotherapy for AML. Preliminary results suggest that such analysis may be utilized to predict response of immune checkpoint blockade, and could also be useful to identify high-affinity TCRs for adaptive T cell therapy approaches. Disclosures Liu: BMS: Research Funding; Karyopharm: Research Funding. Odenike:Incyte: Honoraria, Membership on an entity's Board of Directors or advisory committees; Suneisis: Honoraria, Membership on an entity's Board of Directors or advisory committees; Geron: Research Funding; CTI/Baxter: Honoraria, Membership on an entity's Board of Directors or advisory committees; Spectrum: Honoraria, Membership on an entity's Board of Directors or advisory committees; Algeta: Honoraria, Membership on an entity's Board of Directors or advisory committees; Sanofi-Aventis: Honoraria, Membership on an entity's Board of Directors or advisory committees. Stock:ADC Therapeutics: Honoraria; Amgen: Honoraria; Gilead Sciences: Honoraria; Sigma-Tau: Honoraria, Research Funding; Royalties for a chapter in Up to Date: Patents & Royalties.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 919-919
Author(s):  
Elizabeth A. Morgan ◽  
Mark N. Lee ◽  
Daniel J. DeAngelo ◽  
David P. Steensma ◽  
Richard M. Stone ◽  
...  

Abstract The initial clinical presentation of T-cell large granular lymphocytic leukemia (T-LGL) and myelodysplastic syndromes (MDS) can be similar, each characterized by unexplained peripheral cytopenias. However, these diseases are pathobiologically distinct and associated with stark differences in prognosis and therapy. T-LGL is a clonal lymphoid disorder defined by phenotypically abnormal cytotoxic T cells and an indolent clinical course, while MDS is a clonal disorder of hematopoietic stem cells defined by ineffective hematopoiesis, morphologic dysplasia, and an elevated risk of acute leukemia. Despite these differences, distinction between T-LGL and MDS can be challenging and misdiagnosis can significantly delay initiation of appropriate therapy. The recent identification of STAT3 mutations in LGL may facilitate this distinction: activating STAT3 mutations occur in 40-70% of T-LGL cases, primarily within the SH2 domain, but have not been reported in patients with MDS without concomitant T-LGL. STAT3 is included within our clinical next generation sequencing (NGS) panel, which is used to evaluate patients with known or suspected hematologic malignancies, primarily acute myeloid leukemia, MDS and myeloproliferative neoplasms, as well as various lymphocytic leukemias. We report the frequency and type of STAT3 mutations within our patient population and assess the impact of this information on diagnosis. Between 1/1/2015 and 6/30/2016, 3414 samples (primarily peripheral blood (PB) or bone marrow (BM)) from 2530 unique patients evaluated at Brigham and Women's Hospital and/or Dana-Farber Cancer Institute underwent clinical NGS with a custom, 95-gene, amplicon-based panel (PMID: 27339098). Exons 2-17 and 21-23 of the STAT3 gene were analyzed in each sample using reference transcript 1 (NM_139276). We identified 40 patients with 40 candidate STAT3 mutations (Figure 1). Based on domain localization, variant allele fraction, and population allele frequency, we classified these sequence variants as somatic SH2 domain mutations (n = 21), somatic non-SH2 domain mutations of unknown significance (n = 5) or germline variants (n = 14). Of the 21 patients with somatic SH2 domain mutations, 9 carried a prior diagnosis of T-LGL and 8 were concurrently diagnosed with T-LGL by conventional diagnostic criteria (clonal aberrant T cells in the setting of neutropenia, anemia, or lymphocytosis). The final 4 patients with STAT3 SH2 domain mutations were unexpected diagnoses of T-LGL. These 4 patients were initially referred from outside institutions for MDS based on the reported presence of unilineage erythroid dysplasia (n=2), unquantified ring sideroblasts (n=1), or pancytopenia with unspecified marrow findings (n=1). In 3 of these cases, the STAT3 mutation discovery prompted T-cell flow cytometric analysis of peripheral blood, which revealed an aberrant immunophenotype, and T-cell receptor gamma gene rearrangement studies, which were clonal; these tests are pending in the 4th case. BM evaluation was performed in 12 of 21 patients, including the 4 with suspected MDS; in all cases, the findings did not meet diagnostic criteria for MDS by expert hematopathology review and all showed a normal karyotype. Five additional cases demonstrated somatic non-SH2 domain STAT3 mutations of unknown pathobiologic significance: 3 myeloid neoplasms, 1 chronic lymphocytic leukemia, and 1 autoimmune hemolytic anemia. Additional non-STAT3 mutations were also frequently identified in tumors other than T-LGL. Our experience demonstrates that STAT3 sequencing is a critical component of the evaluation of unexplained cytopenias, and identification of a mutation can clarify ambiguous phenotypes thus averting the consequences of misdiagnosis or diagnostic delay. Notably, several series have reported that MDS and T-LGL can infrequently occur concurrently and thus identification of a STAT3 mutation and a clonal T-LGL population does not exclude the possibility of concomitant MDS. In our cohort, however, no T-LGL patient with a STAT3 mutation demonstrated pathologic evidence of MDS and the majority (19 of 21) showed no other myeloid-associated somatic mutations. In addition, 5 cases in our cohort had likely somatic, non-SH2 domain STAT3 mutations in the context of disparate clinical scenarios, suggesting that these mutations may have a pathogenic role in other hematologic malignancies, a subject of future study. Disclosures DeAngelo: Ariad: Consultancy; Pfizer: Consultancy; Novartis: Consultancy; Amgen: Consultancy; Baxter: Consultancy; Incyte: Consultancy; Celgene: Consultancy. Stone:Celator: Consultancy; Jansen: Consultancy; ONO: Consultancy; Agios: Consultancy; Novartis: Consultancy; Pfizer: Consultancy; Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; Juno Therapeutics: Consultancy; Amgen: Consultancy; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees; Karyopharm: Consultancy; Merck: Consultancy; Roche: Consultancy; Seattle Genetics: Consultancy; Sunesis Pharmaceuticals: Consultancy; Xenetic Biosciences: Consultancy. Lindsley:MedImmune: Research Funding; Takeda Pharmaceuticals: Consultancy.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 2786-2786
Author(s):  
Giulia Cheloni ◽  
Eleni Kanata ◽  
Dina Stroopinsky ◽  
Dimitra Karagkouni ◽  
Jessica J. Liegel ◽  
...  

Abstract Background: In Zuma-1 study, approximately 40% of patients with refractory or relapsed large B cell lymphoma (LBCL) show durable response to Axi-cel. The identification of immunologic factors predictive of therapeutic efficacy and tumor escape is a critical area of investigation. The impact of CAR T cell activation on the native T cell repertoire and lymphoma specific immunity has not been elucidated. Aim: We sought to determine the role of host immune activation in response to tumor-associated antigens and the impact of consequent epitope spreading on CAR-T mediated therapeutic efficacy. To this end, we performed longitudinal single cell immunoprofiling of peripheral blood samples from ZUMA-1 patients to capture immune cell subsets and T cell repertoire during axi-cel treatment. Methods: Single cell immunoprofiling (expression + V(D)J sequencing) was performed on PBMC samples from ZUMA-1 patients (N=32), collected at leukapheresis, 4 weeks, and 6 months post CAR-T cell infusion, to examine potential markers associated with response and resistance. scRNA-seq was performed using 10x Genomics Chromium Next GEM Single Cell 5' Kit v1.1. Full-length paired α/β TCR and BCR libraries were obtained using the Chromium Single Cell V(D)J Enrichment, Human T Cell/B cell kits following manufacturer instructions, while γ/δ TCR libraries were generated using custom primers. Results: Analysis has been completed on the pilot implementation comprising 3 patients. A total of 22,403 cells passed quality-check capturing 31 cellular populations (Figure 1a). In 2 of the 3 patients analyzed, CD8 T cells, after an initial decrease at 4 weeks post CAR T infusion, exhibited an increase at 6 months post CAR T infusion reaching higher levels than those observed prior to CAR T treatment. The third patient presented an increase of the CD8 T cell compartment at 4 weeks compared to pretreatment (Figure 1a). A similar trend was observed for CD4 T cell population, with an increase at 6 months post CAR-T to a level higher than prior to CAR T infusion (Figure 1a). On the contrary, the myeloid cell compartment depicted a gradual decrease from leukapheresis to 6 months post CAR T (Figure 1a). B cells were observed only in 1 of the 3 patients at 6 months (Figure 1a). α/β TCR, γ/δ TCR and BCR clonotypes were identified and projected on the 2-dimensional embedding (Figure 1b). Full-length paired α/β TCR at single cell level showed that some of the most abundant clonotypes at baseline continued to be prominent in post CAR T timepoints (Figure 1c). An extensive expansion of new clonotypes was observed at 6 months after infusion. Moreover, in 2 of the 3 patients, we observed that T cell clonal diversity converged at 4 weeks, and diverged in one patient at 6 months post treatment (Figure 1d). The analysis of the remaining 29 patients (87 samples) is ongoing. Conclusion: The application of single cell immunoprofiling on longitudinal samples from Axi-cel-treated LBCL patients successfully captured the changes in the cellular transcriptional landscape, cell proportions, and TCR/BCR space across the time axis in high resolution. It is anticipated that the full analysis of 32 patients can elucidate the transcriptional program in response to CAR T cell therapy. Figure 1: (A) Two-dimensional uniform manifold approximation and projection (UMAP) of all cells passing QC (n=22,403), separated per patient and timepoint. (B) T and B cell receptor clonality at single cell resolution. T and B cells with one or more clones are colored. (C) α/β clonotype frequency per timepoint for each patient. (D) T Cell receptor Shannon diversity index per timepoint for the 3 profiled patients. Dashed lines connect the different timepoints from the same patient. Figure 1 Figure 1. Disclosures Stroopinsky: The Blackstone Group: Consultancy. Bot: Kite, a Gilead Company: Current Employment; Gilead Sciences: Consultancy, Current equity holder in publicly-traded company, Other: Travel support. Mattie: Kite: Current Employment. Chou: Kite Pharma: Current Employment. Rosenblatt: Karyopharm: Membership on an entity's Board of Directors or advisory committees; Parexel: Consultancy; Wolters Kluwer Health: Consultancy, Patents & Royalties; Bristol-Myers Squibb: Research Funding; Imaging Endpoints: Consultancy; Attivare Therapeutics: Consultancy. Avigan: Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Pharmacyclics: Research Funding; Kite Pharma: Consultancy, Research Funding; Juno: 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; Aviv MedTech Ltd: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Legend Biotech: Membership on an entity's Board of Directors or advisory committees; Chugai: Membership on an entity's Board of Directors or advisory committees; Janssen: Consultancy; Parexcel: Consultancy; Takeda: Consultancy; Sanofi: Consultancy.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 1226-1226
Author(s):  
Hassan Awada ◽  
Reda Z. Mahfouz ◽  
Jibran Durrani ◽  
Ashwin Kishtagari ◽  
Deepa Jagadeesh ◽  
...  

T-cell large granular lymphocyte leukemia (T-LGLL) is a clonal proliferation of cytotoxic T lymphocytes (CTL). T-LGLL mainly manifest in elderly and is associated with autoimmune diseases including rheumatoid arthritis (RA), B cell dyscrasias, non-hematologic cancers and immunodeficiency (e.g., hypogammaglobulinemia). LGL manifestations often resemble reactive immune processes leading to the dilemmas that LGLs act like CTL expansion during viral infections (for example EBV associated infectious mononucleosis). While studying a cohort of 246 adult patients with T-LGLL seen at Cleveland Clinic over the past 10 years, we encountered 15 cases of overt T-LGLL following transplantation of solid organs (SOT; n=8) and hematopoietic stem cell transplantation (HSCT; n=7). Although early studies reported on the occurrence of LGL post-transplant, these studies focused on the analysis of oligoclonality skewed reactive CTL responses rather than frank T-LGLL. We aimed to characterize post-transplantation T-LGLL in SOT and HSCT simultaneously and compare them to a control group of 231 de novo T-LGLL (cases with no history of SOT or HSCT). To characterize an unambiguous "WHO-defined T-LGLL" we applied stringent and uniform criteria. All cases were diagnosed if 3 out of 4 criteria were fulfilled, including: 1) LGL count >500/µL in blood for more than 6 months; 2) abnormal CTLs expressing CD3, CD8 and CD57 by flow cytometry; 3) preferential usage of a TCR Vβ family by flow cytometry; 4) TCR gene rearrangement by PCR. In addition, targeted deep sequencing for STAT3 mutations was performed and charts of bone marrow biopsies were reviewed to exclude other possible conditions. Diagnosis was made 0.2-27 yrs post-transplantation (median: 4 yrs). At the time of T-LGLL diagnosis, relative lymphocytosis (15-91%), T lymphocytosis (49-99%) and elevated absolute LGL counts (>500 /µL; 93%) were also seen. Post-transplantation T-LGLL were significantly younger than de novo T-LGLL, (median age: 48 vs. 61 yr; P<.0001). Sixty% of post-transplantation T-LGLL patients were males. Fifteen% of patients had more cytogenetic abnormalities compared to de novo T-LGLL, had a lower absolute LGL count (median: 4.5 vs. 8.5 k/µL) and had less frequent neutropenia, thrombocytopenia and anemia (27 vs. 43%, 33 vs. 35% and 20% vs. 55%; P=.01). TCR Vb analysis identified clonal expansion of ≥1 of the Vb proteins in 60% (n=9) of the patients; the remaining 40% (n=6) of the cases had either a clonal process involving a Vb protein not tested in the panel (20%; n=3) or no clear expansion (20%; n=3). Signs of rejection were observed in 20% (n=3/15) and GvHD in 13% (n=2/15) of the patients. Post-transplantation, 27% of cases presented with neutropenia (absolute neutrophil count <1.5 x109/L; n=4), 33% with thrombocytopenia (platelet count <150 x109/L; n=5) and 25% with anemia (hemoglobin <10 g/dL; n=3). T-LGLL evolved in 10 patients (67%; 10/15) despite IST including cyclosporine (n=5), tacrolimus (n=4), mycophenolate mofetil (n=5), cyclophosphamide (n=1), anti-thymocyte globulin (n=1), and corticosteroids (n=6). Lymphadenopathy and splenomegaly were seen in 13% (n=2) and 33% (n=5) of the patients. Other conditions observed were MGUS (20%; n=3) and RA (7%; n=1). Conventional cytogenetic showed normal karyotype in 89% (n=11, tested individuals 13/15). Somatic STAT3 mutations were identified in 2 patients. Sixty% of cases (n=9) were seropositive for EBV when tested at different time points after transplant. Similarly, 53% (n=8) were seropositive for CMV, of which, 5 were positive post-transplantation and 3 pre-/post-transplantation. The complexity of T-LGLL expansion post-transplantation might be due to several mechanisms including active viral infections, latent oncogenic viral reactivation and graft allo-antigenic stimulation. However, in our cohort graft rejection or GvHD was encountered in a few patients (2 allo-HSCT recipients). Autoimmune conditions were present in 50% of SOT recipients (n=4/ 8, including RA, ulcerative colitis, systemic lupus erythematosus). Some of our patients also had low immunoglobulin levels. Overt EBV (post-transplant lymphoproliferative disorder) and CMV reactivation was diagnosed in only 27% (4/15) of the patients. In sum we report the long term follow up of a cohort of T-LGLL and emphasize the expansion of T-LGLL post-transplant highlighting the difficulty in assigning one unique origin of LGLL. Disclosures Hill: Genentech: Consultancy, Research Funding; Takeda: Research Funding; Celegene: Consultancy, Honoraria, Research Funding; Kite: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Seattle Genetics: Consultancy, Honoraria; Amgen: Research Funding; Pharmacyclics: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; TG therapeutics: Research Funding; AstraZeneca: Consultancy, Honoraria. Majhail:Atara Bio: Consultancy; Mallinckrodt: Honoraria; Nkarta: Consultancy; Anthem, Inc.: Consultancy; Incyte: Consultancy. Sekeres:Syros: Membership on an entity's Board of Directors or advisory committees; Millenium: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees. Maciejewski:Alexion: Consultancy; Novartis: Consultancy.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 776-776
Author(s):  
Claire Roddie ◽  
Maeve A O'Reilly ◽  
Maria A V Marzolini ◽  
Leigh Wood ◽  
Juliana Dias Alves Pinto ◽  
...  

Introduction: 2nd generation CD19 CAR T cells show unprecedented efficacy in B-ALL, but several challenges remain: (1) scaling manufacture to meet patient need and (2) feasibility of generating products from lymphopenic patients post allogeneic stem cell transplant (allo-SCT). To overcome these issues we propose: (1) use of the CliniMACS Prodigy (Miltenyi Biotec), a semi-automated cGMP platform that simplifies CAR T cell manufacture and (2) the use of matched donor T cells to overcome the challenge posed by patient lymphopenia, albeit this may come with a heightened risk of graft versus host disease (GvHD). CARD (NCT02893189) is a Phase I study of matched donor derived CD19 CAR T cells generated on the CliniMACS Prodigy in 14 adult patients with relapsed/refractory (r/r) B ALL following allo-SCT. We additionally explore the requirement for lymphodepletion (LD) in the allogeneic CAR T cell setting and report on the incidence of GvHD with this therapy. Methods: Manufacturing: CARD utilises non-mobilised matched donor leucapheresate to manufacture 2nd generation CD19CAR T cells using a closed CliniMACS® Prodigy/ TransACTTM process. Study design: Eligible subjects are aged 16-70y with r/r B ALL following allo SCT. Study endpoints include feasibility of CD19CAR T cell manufacture from allo-SCT donors on the CliniMACS Prodigy and assessments of engraftment and safety including GvHD. To assess the requirement for LD prior to CD19CAR T cells in lymphopenic post-allo-SCT patients, the study is split into Cohort 1 (no LD) and Cohort 2 (fludarabine (30 mg/m2 x3) and cyclophosphamide (300mg/m2 x3)). To mitigate for the potential GvHD risk, cell dosing on study mirrors conventional donor lymphocyte infusion (DLI) schedules and is based on total CD3+ (not CAR T) cell numbers: Dose 1=1x106/kg CD3+ T cells; Dose 2= 3x106/kg CD3+ T cells; Dose 3= 1x107/kg CD3+ T cells. Results: As of 26 July 2019, 17 matched allo SCT donors were leukapheresed and 16 products were successfully manufactured and QP released. Patient demographics are as follows: (1) median patient age was 43y (range 19-64y); (2) 4/17 had prior blinatumomab and 5/17 prior inotuzumab ozogamicin; (3) 7/17 had myeloablative allo SCT and 10/17 reduced intensity allo SCT of which 6/17 were sibling donors and 12/17 were matched unrelated donors. No patients with haploidentical transplant were enrolled. To date, 12/16 patients have received at least 1 dose of CD19CAR T cells: 7/16 on Cohort 1 and 5/16 on Cohort 2 (2/16 are pending infusion on Cohort 2 and 2/16 died of fungal infection prior to infusion). Median follow-up for all 12 patients is 22.9 months (IQR 2.9-25.9; range 0.7 - 25.9). At the time of CAR T cell infusion, 7/12 patients were in morphological relapse with &gt;5% leukemic blasts. Despite this, CD19CAR T cells were administered safely: only 2/12 patients experienced Grade 3 CRS (UPenn criteria), both in Cohort 1, which fully resolved with Tocilizumab and corticosteroids. No patients experienced ≥Grade 3 neurotoxicity and importantly, no patients experienced clinically significant GvHD. In Cohort 1 (7 patients), median peak CAR expansion by flow was 87 CD19CAR/uL blood whereas in Cohort 2 (5 patients to date), median peak CAR expansion was 1309 CD19CAR/uL blood. This difference is likely to reflect the use of LD in Cohort 2. CAR T cell persistence by qPCR in Cohort 1 is short, with demonstrable CAR in only 2/7 treated patients at Month 2. Data for Cohort 2 is immature, but this will also be reported at the meeting in addition to potential mechanisms underlying the short persistence observed in Cohort 1. Of the 10 response evaluable patients (2/12 pending marrow assessment), 9/10 (90%) achieved flow/molecular MRD negative CR at 6 weeks. 2/9 responders experienced CD19 negative relapse (one at M3, one at M5) and 3/9 responders experienced CD19+ relapse (one at M3, one at M9, one at M12). 4/10 (40%) response evaluable patients remain on study and continue in flow/molecular MRD negative remission at a median follow up of 11.9 months (range 2.9-25.9). Conclusions: Donor-derived matched allogeneic CD19 CAR T cells are straightforward to manufacture using the CliniMACS Prodigy and deliver excellent early remission rates, with 90% MRD negative CR observed at Week 6 in the absence of severe CAR associated toxicity or GvHD. Peak CAR expansion appears to be compromised by the absence of LD and this may lead to a higher relapse rate. Updated results from Cohorts 1 and 2 will be presented. Disclosures Roddie: Novartis: Consultancy; Gilead: Consultancy, Speakers Bureau; Celgene: Consultancy, Speakers Bureau. O'Reilly:Kite Gilead: Honoraria. Farzaneh:Autolus Ltd: Equity Ownership, Research Funding. Qasim:Autolus: Equity Ownership; Orchard Therapeutics: Equity Ownership; UCLB: Other: revenue share eligibility; Servier: Research Funding; Bellicum: Research Funding; CellMedica: Research Funding. Linch:Autolus: Membership on an entity's Board of Directors or advisory committees. Pule:Autolus: Membership on an entity's Board of Directors or advisory committees. Peggs:Gilead: Consultancy, Speakers Bureau; Autolus: Membership on an entity's Board of Directors or advisory committees.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 779-779 ◽  
Author(s):  
Zinaida Good ◽  
Jay Y. Spiegel ◽  
Bita Sahaf ◽  
Meena B. Malipatlolla ◽  
Matthew J. Frank ◽  
...  

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.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 196-196
Author(s):  
Bishwas Shrestha ◽  
Kelly Walton ◽  
Jordan Reff ◽  
Elizabeth M. Sagatys ◽  
Nhan Tu ◽  
...  

Distinct from pharmacologic immunosuppression, we designed a programmed cytolytic effector T cell that prevents graft versus host disease (GVHD). CD83 is expressed on allo-activated conventional T cells (Tconv) and pro-inflammatory dendritic cells (DCs), which are implicated in GVHD pathogenesis. Therefore we developed a novel human CD83 targeted chimeric antigen receptor (CAR) T cell for GVHD prophylaxis. Here we demonstrate that human CD83 CAR T cells eradicate cell mediators of GVHD, significantly increase the ratio of regulatory T cells (Treg) to allo-activated Tconv, and provide lasting protection from xenogeneic GVHD. Further, we show human, acute myeloid leukemia (AML) expresses CD83 and can be targeted by CD83 CAR T cells. A 2nd generation CD83 CAR was generated with CD3ζ and 41BB costimulatory domain that was retrovirally transduced in human T cells to generate CD83 CAR T cells. The CD83 CAR construct exhibited a high degree of transduction efficiency of about 60%. The CD83 CAR T cells demonstrated robust IFN-γ and IL-2 production, killing, and proliferation when cultured with CD83+ target cells. To test whether human CD83 CAR T cells reduce alloreactivity in vitro, we investigated their suppressive function in allogeneic mixed leukocyte reactions (alloMLR). CD83 CAR T cells were added to 5-day alloMLRs consisting of autologous T cells and allogeneic monocyte-derived DCs at ratios ranging from 3:1 to 1:10. The CD83 CAR T cells potently reduced alloreactive T cell proliferation compared to mock transduced and CD19 CAR T cells. We identified that CD83 is differentially expressed on alloreactive Tconv, compared to Tregs. Moreover, the CD83 CAR T cell efficiently depletes CD83+ Tconv and proinflammatory DCs with 48 hours of engagement. To test the efficacy of human CD83 CAR T cells in vivo, we used an established xenogeneic GVHD model, where mice were inoculated with human PBMCs (25x106) and autologous CD83 CAR (1-10x106) or mock transduced T cells. The CD83 CAR T cells were well tolerated by the mice, and significantly improved survival compared to mock transduced T cells (Figure 1A). Mice treated with CD83 CAR T cells exhibited negligible GVHD target organ damage at day +21 (Figure 1B). Mice inoculated with CD83 CAR T cells demonstrated significantly fewer CD1c+, CD83+ DCs (1.7x106 v 6.2x105, P=0.002), CD4+, CD83+ T cells (4.8x103 v 5.8x102, P=0.005), and pathogenic Th1 cells (3.1x105 v 1.1x102, P=0.005) at day +21, compared to mice treated with mock transduced T cells. Moreover, the ratio of Treg to alloreactive Tconv (CD25+ non-Treg) was significantly increased among mice treated with CD83 CAR T cells (78 v 346, P=0.02), compared to mice injected with mock transduced T cells. Further, CD83 appears to be a promising candidate to target myeloid malignancies. We observed CD83 expression on malignant myeloid K562, Thp-1, U937, and MOLM-13 cells. Moreover, the CD83 CAR T cells effectively killed AML cell lines. Many AML antigens are expressed on progenitor stem cells. Thus, we evaluated for stem cell killing in human colony forming unit (CFU) assays, which demonstrated negligible on-target, off-tumor toxicity. Therefore, the human CD83 CAR T cell is an innovative cell-based approach to prevent GVHD, while providing direct anti-tumor activity against myeloid malignancies. Figure Disclosures Blazar: Kamon Pharmaceuticals, Inc: Membership on an entity's Board of Directors or advisory committees; Five Prime Therapeutics Inc: Co-Founder, Membership on an entity's Board of Directors or advisory committees; BlueRock Therapeutics: Membership on an entity's Board of Directors or advisory committees; Abbvie Inc: Research Funding; Leukemia and Lymphoma Society: Research Funding; Childrens' Cancer Research Fund: Research Funding; KidsFirst Fund: Research Funding; Tmunity: Other: Co-Founder; Alpine Immune Sciences, Inc.: Research Funding; RXi Pharmaceuticals: Research Funding; Fate Therapeutics, Inc.: Research Funding; Magenta Therapeutics and BlueRock Therapeuetics: Membership on an entity's Board of Directors or advisory committees; Regeneron Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees. Davila:Atara: Research Funding; Celgene: Research Funding; Precision Biosciences: Consultancy; Bellicum: Consultancy; GlaxoSmithKline: Consultancy; Adaptive: Consultancy; Anixa: Consultancy; Novartis: Research Funding.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 42-43
Author(s):  
Prajish Iyer ◽  
Lu Yang ◽  
Zhi-Zhang Yang ◽  
Charla R. Secreto ◽  
Sutapa Sinha ◽  
...  

Despite recent developments in the therapy of chronic lymphocytic leukemia (CLL), Richter's transformation (RT), an aggressive lymphoma, remains a clinical challenge. Immune checkpoint inhibitor (ICI) therapy has shown promise in selective lymphoma types, however, only 30-40% RT patients respond to anti-PD1 pembrolizumab; while the underlying CLL failed to respond and 10% CLL patients progress rapidly within 2 months of treatment. Studies indicate pre-existing T cells in tumor biopsies are associated with a greater anti-PD1 response, hence we hypothesized that pre-existing T cell subset characteristics and regulation in anti-PD1 responders differed from those who progressed in CLL. We used mass cytometry (CyTOF) to analyze T cell subsets isolated from peripheral blood mononuclear cells (PBMCs) from 19 patients with who received pembrolizumab as a single agent. PBMCs were obtained baseline(pre-therapy) and within 3 months of therapy initiation. Among this cohort, 3 patients had complete or partial response (responders), 2 patients had rapid disease progression (progressors) (Fig. A), and 14 had stable disease (non-responders) within the first 3 months of therapy. CyTOF analysis revealed that Treg subsets in responders as compared with progressors or non-responders (MFI -55 vs.30, p=0.001) at both baseline and post-therapy were increased (Fig. B). This quantitative analysis indicated an existing difference in Tregs and distinct molecular dynamic changes in response to pembrolizumab between responders and progressors. To delineate the T cell characteristics in progressors and responders, we performed single-cell RNA-seq (SC-RNA-seq; 10X Genomics platform) using T (CD3+) cells enriched from PBMCs derived from three patients (1 responder: RS2; 2 progressors: CLL14, CLL17) before and after treatment. A total of ~10000 cells were captured and an average of 1215 genes was detected per cell. Using a clustering approach (Seurat V3.1.5), we identified 7 T cell clusters based on transcriptional signature (Fig.C). Responders had a larger fraction of Tregs (Cluster 5) as compared with progressors (p=0.03, Fig. D), and these Tregs showed an IFN-related gene signature (Fig. E). To determine any changes in the cellular circuitry in Tregs between responders and progressors, we used FOXP3, CD25, and CD127 as markers for Tregs in our SC-RNA-seq data. We saw a greater expression of FOXP3, CD25, CD127, in RS2 in comparison to CLL17 and CLL14. Gene set enrichment analysis (GSEA) revealed the upregulation of genes involved in lymphocyte activation and FOXP3-regulated Treg development-related pathways in the responder's Tregs (Fig.F). Together, the greater expression of genes involved in Treg activation may reduce the suppressive functions of Tregs, which led to the response to anti-PD1 treatment seen in RS2 consistent with Tregs in melanoma. To delineate any state changes in T cells between progressors and responder, we performed trajectory analysis using Monocle (R package tool) and identified enrichment of MYC/TNF/IFNG gene signature in state 1 and an effector T signature in state 3 For RS2 after treatment (p=0.003), indicating pembrolizumab induced proliferative and functional T cell signatures in the responder only. Further, our single-cell results were supported by the T cell receptor (TCR beta) repertoire analysis (Adaptive Biotechnology). As an inverse measure of TCR diversity, productive TCR clonality in CLL14 and CLL17 samples was 0.638 and 0.408 at baseline, respectively. Fifty percent of all peripheral blood T cells were represented by one large TCR clone in CLL14(progressor) suggesting tumor related T-cell clone expansion. In contrast, RS2(responder) contained a profile of diverse T cell clones with a clonality of 0.027 (Fig. H). Pembrolizumab therapy did not change the clonality of the three patients during the treatment course (data not shown). In summary, we identified enriched Treg signatures delineating responders from progressors on pembrolizumab treatment, paradoxical to the current understanding of T cell subsets in solid tumors. However, these data are consistent with the recent observation that the presence of Tregs suggests a better prognosis in Hodgkin lymphoma, Follicular lymphoma, and other hematological malignancies. Figure 1 Disclosures Kay: Pharmacyclics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Oncotracker: Membership on an entity's Board of Directors or advisory committees; Rigel: Membership on an entity's Board of Directors or advisory committees; Juno Theraputics: Membership on an entity's Board of Directors or advisory committees; Agios Pharma: Membership on an entity's Board of Directors or advisory committees; Cytomx: Membership on an entity's Board of Directors or advisory committees; Astra Zeneca: Membership on an entity's Board of Directors or advisory committees; Morpho-sys: Membership on an entity's Board of Directors or advisory committees; Tolero Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Bristol Meyer Squib: Membership on an entity's Board of Directors or advisory committees, Research Funding; Acerta Pharma: Research Funding; Sunesis: Research Funding; Dava Oncology: Membership on an entity's Board of Directors or advisory committees; Abbvie: Research Funding; MEI Pharma: Research Funding. Ansell:AI Therapeutics: Research Funding; Takeda: Research Funding; Trillium: Research Funding; Affimed: Research Funding; Bristol Myers Squibb: Research Funding; Regeneron: Research Funding; Seattle Genetics: Research Funding; ADC Therapeutics: Research Funding. Ding:Astra Zeneca: Research Funding; Abbvie: Research Funding; Octapharma: Membership on an entity's Board of Directors or advisory committees; MEI Pharma: Membership on an entity's Board of Directors or advisory committees; alexion: Membership on an entity's Board of Directors or advisory committees; Beigene: Membership on an entity's Board of Directors or advisory committees; DTRM: Research Funding; Merck: Membership on an entity's Board of Directors or advisory committees, Research Funding. OffLabel Disclosure: pembrolizumab


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