scholarly journals Mapping the Multiple Myeloma T Cell Landscape By Immunotherapeutic Perturbation Reveals Mechanism and Determinants of Response to Bispecific T Cell Engagers

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 731-731
Author(s):  
Mirco Friedrich ◽  
Paola Neri ◽  
Noemie Leblay ◽  
Niklas Kehl ◽  
Julius Michel ◽  
...  

Abstract Immunotherapies have transformed the clinical care of patients with cancer. Bispecific T cell engagers (TCEs) have recently entered early-phase clinical trials of multiple myeloma (MM) and shown remarkable response rates even in heavily pretreated patients. However, T cells are heterogeneous with respect to phenotype, function and specificity for tumor antigens and currently we have limited understanding how to identify and monitor tumor specific T cells in hematological malignancies. It is furthermore unclear why individual patients fail to elicit an antitumor immune response upon treatment with TCEs and whether a persistent T cell response to TCEs relies on reinvigoration of pre-existing tumor-infiltrating lymphocytes or on recruitment of novel T cells. Here we performed longitudinal paired single-cell RNA and T cell receptor (TCR) sequencing on >100,000 immune cells from patients with MM before, during and after TCE therapy. We defined transcriptional gradients of MM-infiltrating immune cells between n=5 healthy bone marrow donors, n=10 newly diagnosed MM patients and n=11 refractory MM patients undergoing immunotherapy with bispecific BCMA-targeting antibodies. By tracking T cell clones over time using their TCR as individual barcode, we further integrated these longitudinal in vivo data with protein-level analysis and functional validation in MM bone-marrow cultures exposed to TCEs. Refractory MM patients exhibited a highly individual bone-marrow immune composition, that was significantly perturbed compared to healthy or diseased, but therapy-naïve bone marrow. We observed that the inter-patient heterogeneity in the T cell landscape composition is superimposed by conserved TCR repertoire dynamics forming a trajectory between early anti-tumor effector states and exhaustion. In all patients, we observed a dichotomy of TCE-responsive versus TCE-refractory T cell clones. Longitudinal tracking of TCE-responsive T cell clones and their transcriptional phenotypes revealed coupling of tumor recognition, clonal expansion and T cell dysfunction marked by expression of cytotoxicity (GZMB, GNLY) and terminal exhaustion markers, such as TOX and CD39. Significant clonal replacement of T cells was evident in n=5 clinically responding patients with MM throughout continued TCE therapy and driven by a subset of non-exhausted, naïve-like CD8 + T cells. The top 1% TCE-responsive clones were fate-determined and either followed a memory-exhaustion or cytotoxicity trajectory. Patients who did not respond to TCE therapy exhibited a dysfunctional T cell landscape before therapy that limited clonal expansion and TCR persistence. As proof-of-concept, we matched single-cell profiling data of n=10 individual patients with protein-level analysis and functional validation of TCE-driven T cell expansion in vitro, providing the first signals of preferential expansion of specific fate- and avidity-determined clones upon TCE-mediated stimulation. We propose the mode of action of TCE therapy in MM to be driven by pre-existing T cell fate commitments that determine clonotype diversification and persistence, and ultimately, clinical response. Our results further demonstrate that clinical TCE response derives from a distinct repertoire of pre-existing T cell clones, whereas other clonotypes are functionally excluded from the repertoire and subsequently lost during therapy. We define the determinants of response to TCE treatment to be inherent to the individual's T cell repertoire before therapy. Our results provide the rationale for response prediction and monitoring of future immunotherapy approaches in MM patients beyond TCE therapy. Figure 1 Figure 1. Disclosures Neri: BMS: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Amgen: Consultancy, Honoraria. Goldschmidt: Amgen: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; Adaptive Biotechnology: Consultancy; Celgene: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; BMS: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; Chugai: Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; GSK: Honoraria; Incyte: Research Funding; Janssen: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; Johns Hopkins University: Other: Grant; Molecular Partners: Research Funding; MSD: Research Funding; Mundipharma: Research Funding; Novartis: Honoraria, Research Funding; Dietmar-Hopp-Foundation: Other: Grant; Sanofi: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; Takeda: Consultancy, Research Funding. Weinhold: Sanofi: Honoraria. Raab: Abbvie: Consultancy, Honoraria; Roche: Consultancy; GSK: Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Janssen: 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; Sanofi: Membership on an entity's Board of Directors or advisory committees, Research Funding; BMS: 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. Bahlis: Amgen: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria; Genentech: Consultancy; Janssen: Consultancy, Honoraria; BMS/Celgene: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; GlaxoSmithKline: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria.

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 729-729
Author(s):  
Lukas John ◽  
Alexandra Poos ◽  
Stephan M Tirier ◽  
Jan-Philipp Mallm ◽  
Nina Prokoph ◽  
...  

Abstract Tumor heterogeneity plays a significant role in the development of therapy resistance in multiple myeloma (MM). Focal lesions (FLs), which are nodular accumulations of MM cells, have been shown to be hotspots of genetic spatial tumor heterogeneity, which is characterized by unique tumor sub-clones at different sites in the bone marrow (BM). However, little is known about the mechanisms leading to mutations in FLs, the architecture of the tumor microenvironment (ME) at these sites, and the link between FL sub-clones and relapse. We applied whole genome sequencing (WGS) to CD138 + MM cells from paired FL and iliac crest random BM aspirates (RBMA) of 15 newly diagnosed MM (NDMM) patients. For 7 of these patients, single cell (sc) analyses were performed, including sc gene expression (scRNA) and T-cell receptor (TCR)-sequencing and sc assay for transposase-accessible chromatin (ATAC)-sequencing for paired BM CD138 + MM and CD138 - ME, as well as peripheral blood mononuclear cells (PBMC). WGS data was analyzed using inhouse pipelines. Mutations, copy-number-variations and mutational signatures were called using mpileup, ACESeq and mmsig. Neoantigen epitopes were predicted using NeoPredPipe. Sc data was generated using the 10X Genomics platform. Pre-processing and analysis of the sc data was performed with CellRanger and the R-packages Seurat, ArchR and inferCNV. In 13/15 patients we found significant differences in chromosomal and mutational profiles between FLs and paired RBMAs, with major unshared mutations (mutation seen in > 60% cells) being enriched at the FL site (mean 310 vs. 123, p<0.05). Mutations in driver genes, such as KRAS, CYLD, CDKN2C and TP53, were site-unique or strongly enriched in FLs in 6/15 patients. To identify the mechanisms underlying heterogeneous mutations, we analyzed mutational signatures and found COSMIC signature SBS18 in these mutations, suggesting a role of reactive oxygen species. Combining WGS and sc sequencing, we observed between 3 and 6 sub-clones per patient. Sub-clones, which dominated in FLs, showed increased regulatory accessibility and expression of genes associated with disease aggressiveness and drug resistance such as CXCR4 and members of the NFKB- and interferon pathways, implying that FLs could play a significant role in the development of treatment resistance. Indeed, comparing sub-clones at baseline and at relapse after high-dose melphalan and autologous stem cell transplantation in one patient, we observed expansions of tumor cells at relapse, which were closely related to the main FL sub-clone at baseline. On average, 23 (range 0-83) site-unique baseline mutations were predicted to be neoantigens. Thus, we hypothesized that spatial tumor heterogeneity could be associated with heterogeneity in the tumor ME. We did not observe expansion of site-unique T cell clones, but some of the clones were enriched up to 10-fold at one of the two sites. These clones were typically seen in the PB at low frequency. Expanded T-cells clones were almost exclusively found in the CD8 +-compartment, with 65% and 27% of expanded T-cell clones being CD45RO +/CD57 +-memory- and CD69 +-effector-T-cells, respectively. Besides differences in the T-cell clonality, we observed changes in proportions of other cell types, including a depletion of CD14+- and CD16+-macrophages in FLs (p<0.05). Furthermore, we observed gene expression differences between FL and RBMA macrophages, especially for genes involved in TNFα, IL-6 and JAK/STAT3 signaling. While CCL2, CD44, CXCL2/3, KLF2/4 and CCR1 were significantly higher expressed in FLs compared to RBMAs, BTG2, DUSP1 and HIF1A were down-regulated. In conclusion, our results strengthen the concept of MM as a spatially heterogeneous disease, suggest that reactive oxygen species result in site-specific mutagenesis, and support the hypothesis that FLs are the origin of aggressive disease. We demonstrate spatial heterogeneity at single-cell level in the BM immune ME for the first time, which implies that understanding the complex biology of FLs could be important in the context of novel immune therapies such as bispecific antibodies and CAR-T-cells. Disclosures John: Janssen: Consultancy. Müller-Tidow: Janssen Cilag: Consultancy, Research Funding; Bioline: Consultancy, Research Funding; Pfizer: Consultancy, Research Funding. Goldschmidt: Takeda: Consultancy, Research Funding; Sanofi: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; Dietmar-Hopp-Foundation: Other: Grant; Novartis: Honoraria, Research Funding; Mundipharma: Research Funding; MSD: Research Funding; Molecular Partners: Research Funding; Johns Hopkins University: Other: Grant; Janssen: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; Incyte: Research Funding; GSK: Honoraria; Chugai: Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; BMS: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; Celgene: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding; Adaptive Biotechnology: Consultancy; Amgen: Consultancy, Honoraria, Other: Grants and/or Provision of Investigational Medicinal Product, Research Funding. Raab: Janssen: Membership on an entity's Board of Directors or advisory committees; Roche: Consultancy; GSK: Honoraria, Membership on an entity's Board of Directors or advisory committees; Abbvie: Consultancy, Honoraria; BMS: 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; Sanofi: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees. Weinhold: Sanofi: Honoraria.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 1014-1014 ◽  
Author(s):  
Premal Lulla ◽  
Ifigeneia Tzannou ◽  
George Carrum ◽  
Carlos A. Ramos ◽  
Rammurti Kamble ◽  
...  

Abstract Despite an array of approved agents for the treatment of multiple myeloma (MM), most patients eventually relapse after conventional treatments. The adoptive transfer of tumor-targeted T cells has demonstrated efficacy in the treatment of patients with chemo-refractory hematological malignancies including MM. While the majority of T cell-based immunotherapeutic studies in the clinic explore genetically modified T cells that target a single tumor-expressed antigen, we have developed a strategy to generate non-engineered T cell lines that simultaneously target multiple MM-expressed antigens, thereby reducing the risk of tumor immune evasion. We manufacture multiTAA-specific T cells targeting the tumor-associated antigens PRAME, SSX2, MAGEA4, NY-ESO-1 and Survivin by culturing patient-derived PBMCs with autologous DCs loaded with pepmixes (15mer peptides overlapping by 11 aminos acids) spanning all 5 target antigens in the presence of a Th1-polarizing/pro-proliferative cytokine cocktail. In our current clinical trial (NCT02291848), we have successfully generated multi-antigen-targeted lines from 18/ of 19 patients thus far, with one in production. The T cell lines comprise of CD3+ T cells (mean 95.6±2.2%) with a mixture of CD4+ (28.9±7.2%) and CD8+ (56.6±7.2%) T cells, which express central and effector memory markers (CD45RO+/CD62L+/CCR7+ -- 1.21±0.2%; CD45RO+/CD62L+/CCR7- -- 15.16±2.5%; CD45RO+/CD62L-/CCR7- -- 56.9±6.3%). All the expanded lines were specific for two to five target antigens with the majority of lines (13 of 18) specific for ≥3, (PRAME: Mean 45, range: 0 to 205 spot forming units (SFU)/2x105 input cells ; SSX2 mean: 57, 0 to 583, NYESO1: mean: 51, 0 to 125 , MAGE-A4 Mean: 67, 0 to 377 and Survivin mean: 53, 0 to 51), and did not react against non-malignant autologous recipient cells (2±3% specific lysis; E:T 20:1). We assessed the clonal diversity of the clinical product using TCR vβ deep sequencing analysis. We found both polyclonality and that the majority (mean 79%; range: 59 to 95%) represented rare T cell clones that were unique to the ex vivo expanded cell line and below levels of detection in the patients peripheral blood prior to infusion, thereby enabling in vivo tracking studies.. To date we have infused 18 patients with at least 2 infusions, 2 weeks apart of doses ranging from 0.5 to 2x107/m2. These patients had received a median of 4 lines of prior therapy including high dose chemotherapy with autologous stem cell rescue. Ten patients were refractory to their latest therapy and had active MM, while 8 were in remission at the time of infusion. At the 6 week evaluation period, of the 10 patients receiving multiTAA-specific T cells to treat active disease, 1 had a complete remission (CR) by the international myeloma working group (IMWG) response criteria, 1 had a partial remission (PR) and 8 others had stable disease (SD). Seven of these 10 patients were infused more than 1 year ago. Although 2 of the 7 subsequently had disease progression, the remaining 5 continue to respond, with sustained CR (1), PR (2) or SD (2). Of the 8 patients in CR at the time of T cell infusion, all remained in CR at the week 6 disease assessment and of the 6 evaluable patients who are >1 year post T cells, only one patient has relapsed, at 7 months after T cell infusion. These clinical responses correlated with the emergence and persistence (>6 months) of "line-exclusive" tumor-reactive T cells in patient peripheral blood, as assessed by longitudinal tracking of infused T cell clones using TCR deep sequencing. These infused product-derived T cells were detected in both peripheral blood (mean 0.43% ±SD of 0.3 of the total repertoire) and the marrow (mean 0.61%±0.24% of total repertoire). The expansion of product-derived T cell clones was higher among patients with active MM than in patients treated in remission (active: 0.60±0.39%, remission: 0.2±0.08%, p=0.048). Notably, no patient, including the complete responder, had infusion-related systemic- or neuro-toxicity. Thus, autologous multiTAA-targeted T cells directed to PRAME, SSX2, MAGEA4, NY-ESO-1 and Survivin can be safely administered to patients with MM, in whom they can subsequently be detected long-term in peripheral blood and marrow, and where they produce sustained tumor responses including CR. It will be of interest to discover whether larger or more frequent doses of these T cells can produce further benefit with maintained safety. Disclosures Brenner: Marker: Equity Ownership. Heslop:Marker: Equity Ownership; Viracyte: Equity Ownership; Cell Medica: Research Funding; Gilead Biosciences: Membership on an entity's Board of Directors or advisory committees; Tessa Therapeutics: Research Funding; Cytosen: Membership on an entity's Board of Directors or advisory committees. Vera:Marker: Equity Ownership. Leen:Marker: Equity Ownership.


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 (<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 ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 699-699 ◽  
Author(s):  
J. Joseph Melenhorst ◽  
David L. Porter ◽  
Lifeng Tian ◽  
Simon F Lacey ◽  
Christopher L Nobles ◽  
...  

Abstract We recently demonstrated that sustained remission in 41 CLL patients treated with the CD19-specific, 4-1BB/CD3zeta-signaling chimeric antigen receptor (CAR19) T-cells correlated strongly with the expansion and persistence of the engineered T cells and that important pathways such as T cell exhaustion, glycolysis and T cell differentiation segregated responders from non-responders (Fraietta et al., 2018, Nature Medicine). We here report two advanced, chemotherapy-resistant CLL patients with the longest (7 years) follow-up on any trial of CART19 cells. Both patients had received five therapies before being treated at the University of Pennsylvania with autologous, murine CTL019 (tisagenlecleucel) cells for their CLL in 2010, receiving 1.1e9 and 1.4e7 CAR19+ T cells, respectively. Both patients have persistence of CAR-engineered T cells and both patients are still in remission as determined by flow cytometry and deep sequencing of IgH rearrangements for 5.5-7 years. Thus, the infused CAR-T cells have maintained these patients in deep molecular remission of their disease for the longest period of time that has been reported to date. To understand the fate of the infused CAR-T cells we determined the phenotype, function, and clonal nature of the persisting CTL019 cells. Flow cytometric CART19 cell analyses demonstrated that early during the anti-leukemia response, activated, HLA-DR-expressing CD8+ CAR-T cells rapidly expanded, followed by similarly activated CD4+ CAR-T cells. With tumor clearance the CAR-T cell population contracted, but an activated CD4+ CAR-T cell population was maintained and was still detectable at the last follow-up of 7 years. The CD8+ CAR-T cell pool remained present at low frequencies. Both populations had acquired and maintained an effector memory phenotype, a phenotype most consistent with active disease control. Furthermore, the analysis of the classical immune checkpoint inhibitory markers PD1, TIM3, LAG3, and CTLA4 showed that only PD1 was expressed from the earliest to the latest time point on >80% of all CAR-T cells, whereas LAG3 and TIM3 were expressed only early on but lost after tumor clearance. These data suggest that the initial tumor clearance was mediated by CD8+ CAR-T cells, but sustained by a CD4+ CAR-T cell population that still actively engages with target cells. To understand the clonal nature of these long-term persisting CAR-T cells we used two complementary methods: a) CAR T cells were sorted from post-infusion aliquots during the first two years for T cell receptor-beta deep-sequencing (TCR-seq); b) the CAR integration sites in the genome were sequenced in the infusion product and in circulating CAR-T cells. TCR-seq analysis of early post-infusion time points demonstrated that the circulating CAR-T cell populations consisted of hundreds to thousands of distinct clones which in patient 1 and 2 displayed clonal focusing by 21 and 1 month post-infusion, respectively, with some clones making up as much as 12% (patient 1) and 48% (patient 2) of the CAR-T cell repertoire. The analysis of clonotype sharing at the various time points via Morisita's overlap index analysis similarly showed repertoire stabilization late (21 months; patient 1) and early (1 month; patient 2) after infusion. Lastly, fate mapping of the infused CART19 cells via CAR integration site analysis in the infusion product until the latest time point indicated that the infusion products for both patients had a very diverse, non-clonal make-up, containing over 8,000 and 3,700 integration sites in patients 1 and 2, respectively. The higher degree of clonality in patient 2 but not 1 CAR-T cells as seen by TCR-seq was confirmed by integration site analysis, as was the sharing of CAR-T cell clones over time. Importantly, whereas the CAR integration site repertoire in patient 1 was diverse in the first two years, it stabilized and trended towards oligoclonality 21 months after infusion. Lastly, CAR integration site analysis revealed a high degree of clonal persistence, suggesting that tumor control and B cell aplasia were maintained by few, highly functional CD4+ CAR-T cell clones. In summary, we demonstrate that in both patients with the longest persistence of CAR-T cells reported thus far, early and late phases of the anti-CLL response are dominated by highly activated CD8+ and CD4+ CAR-T cells, respectively, largely comprised of a small number of persisting CD4+ CAR-T cell clones. Disclosures Melenhorst: Parker Institute for Cancer Immunotherapy: Research Funding; Incyte: Research Funding; Casi Pharmaceuticals: Consultancy; novartis: Patents & Royalties, Research Funding; Shanghai UNICAR Therapy, Inc: Consultancy. Porter:Genentech: Other: Spouse employment; Novartis: Other: Advisory board, Patents & Royalties, Research Funding; Kite Pharma: Other: Advisory board. Lacey:Novartis Pharmaceuticals Corporation: Research Funding; Tmunity: Research Funding; Novartis Pharmaceuticals Corporation: Patents & Royalties; Parker Foundation: Research Funding. Fraietta:Novartis: Patents & Royalties: WO/2015/157252, WO/2016/164580, WO/2017/049166. Frey:Novartis: Consultancy; Servier Consultancy: Consultancy. Young:Novartis: Patents & Royalties, Research Funding. Siegel:Novartis: Research Funding. June:Novartis Pharmaceutical Corporation: Patents & Royalties, Research Funding; Immune Design: Membership on an entity's Board of Directors or advisory committees; Tmunity Therapeutics: Equity Ownership, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding; Immune Design: Membership on an entity's Board of Directors or advisory committees; Celldex: Consultancy, Membership on an entity's Board of Directors or advisory committees; Novartis Pharmaceutical Corporation: Patents & Royalties, Research Funding; Tmunity Therapeutics: Equity Ownership, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties, Research Funding.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1318-1318
Author(s):  
Dipabarna Bhattacharya ◽  
Jani Huuhtanen ◽  
Matti Kankainen ◽  
Tapio Lönnberg ◽  
Cassandra M Kerr ◽  
...  

Abstract Background: T-cell large granular lymphocytic leukemia (T-LGLL), a rare lymphoproliferative disorder of mature T cells, is characterized by the accumulation of activated effector T cells leading to a clonally restricted T-cell receptor (TCR) repertoire. Chronic antigen stimulation together with activating somatic STAT3 mutations have been proposed to lead to clonal expansion of leukemic cells. However, no holistic research has been done to show how leukemic and non-leukemic cells liaise to sustain abnormal immune reactivity in T-LGLL. Methods: We investigated the transcriptome and TCR repertoire in T-LGLL using: 1) single-cell RNA and TCR (scRNA+TCRαβ) sequencing from CD45+ sorted blood cells (T-LGLL n=11, healthy n=6), 2) TCRβ sequencing from blood mononuclear cells (T-LGLL n=48, healthy n=823), 3) bulk RNA sequencing (T-LGLL n=15, healthy n=5), 4) plasma cytokine profiling (T-LGLL n=9, healthy n=9), and 5) flow cytometry validations (T-LGLL n=6, healthy n=6) (Figure) Results: ScRNA+TCRαβ-seq data revealed that in healthy controls, hyperexpanded CD8+ T-cell clones (at least 10 cells with identical TCRs) preferentially had an effector memory phenotype, whereas in T-LGLL, the hyperexpanded clonotypes represented a more cytotoxic (increased expression of GZMB, PRF1, KLRB1) and exhausted (LAG3 and TIGIT) phenotype. Using flow cytometry, we confirmed that upon anti-CD3/CD28/CD49 antibody stimulation, T-LGLL clones (CD8+CD57+) expressed higher levels of cytotoxic proteins (GZMA /GZMB , PRF1) but were deficient in degranulation responses and cytokine secretion as measured by expression of CD107a/b and TNFα/IFNγ, respectively. Focused re-clustering of the extracted T-LGLL clones from the scRNA+TCRαβ-seq data revealed considerable heterogeneity among the T-LGLL clones and partly separated the mutated (mt) STAT3 and wild type (wt) STAT3 clones. STAT3wt clones upregulated T-cell activation and TCR signaling pathways, with a higher cytotoxicity and lower exhaustion score as compared to STAT3mt clones. This was validated with bulk RNA-seq data. To understand the antigen specificities of the T-LGLL clones, we combined previously profiled T-LGLL TCRs with our data to form the largest described dataset of 200 T-LGLL clones from 170 patients. Notably, T-LGLL clones were found to be private to each patient. Furthermore, the analysis by GLIPH2 algorithm grouping TCRs did not reveal detectable structural similarities, suggesting the absence of a unifying antigen in T-LGLL. However, in 67% of T-LGLL patients, the TCRs of leukemic clones shared amino acid level similarities with the rest of the non-leukemic TCR repertoire suggesting that the clonal and non-clonal immune repertoires are connected via common target antigens. To analyze the non-clonal immune repertoire in T-LGLL in detail, we compared our data to other published scRNAseq data from solid tumors (n=4) and hematologic cancers (n=8) and healthy controls (n=6). The analysis revealed that in T-LGLL also the non-leukemic CD8+ and CD4+ T cells were more mature, cytotoxic, and clonally restricted. When compared to healthy controls and other cancer patients, in non-leukemic T-LGLL the most upregulated pathway was IFNγ response. Finally, most of the upregulated cytokines in T-LGLL (e.g., CCL2/3/7, CXCL10/11, IL15RA) were secreted predominantly by monocytes and dendritic cells, which also had upregulated HLA class II expression and enhanced scavenging potential in T-LGLL patients. Ligand-receptor analysis with CellPhoneDB revealed that the number of predicted cell-cell interactions was significantly higher in T-LGLL as compared to reactive T-cell clones in healthy controls. The most co-stimulatory interactions (e.g., CD2-CD58, TNFSF14-TNFRSF14) occurred between the IFNγ secreting T-LGLL clones and the pro-inflammatory cytokine secreting monocytes. Conclusions: Our study shows a synergistic interplay between the leukemic and non-leukemic immune cell repertoires in T-LGLL, where an aberrant antigen-driven immune response including hyperexpanded CD8+ T-LGLL cells, non-leukemic CD8+ cells, CD4+ cells, and monocytes contribute to the persistence of the T-LGLL clones. Our results provide a rationale to prioritize therapies that target the entire immune repertoire and not only the T-LGLL clones in patients with T-LGLL. Figure 1 Figure 1. Disclosures Loughran: Kymera Therapeutics: Membership on an entity's Board of Directors or advisory committees; Bioniz Therapeutics: Membership on an entity's Board of Directors or advisory committees; Keystone Nano: Membership on an entity's Board of Directors or advisory committees; Dren Bio: Membership on an entity's Board of Directors or advisory committees. Maciejewski: Alexion: Consultancy; Novartis: Consultancy; Regeneron: Consultancy; Bristol Myers Squibb/Celgene: Consultancy. Mustjoki: Novartis: Research Funding; BMS: Research Funding; Janpix: Research Funding; Pfizer: Research Funding.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 1410-1410 ◽  
Author(s):  
John E. Godwin ◽  
Carmen Ballesteros-Merino ◽  
Nikhil Lonberg ◽  
Shawn Jensen ◽  
Tarsem Moudgil ◽  
...  

Introduction The infiltration of immune cells into tumors has been associated with therapeutic effects in preclinical models and patients with cancer. In AML, we have previously reported that immune infiltrated TME is predictive of failure to cytotoxic chemotherapy, but associated with response to immunotherapy, specifically FLZ (Uy ASH 2018, Rutella ASH 2018). Furthermore, FLZ also affects immune infiltration in the TME (Rutella ASH 2018). NK cells play an important role in AML control (Ruggieri Science 2012). FLZ (MGD006/S80880) is a humanized DART® molecule that bridges CD123 on AML with CD3 on T cells and mediates anticancer activity via T-cell activation and cytolytic activity against the bound cancer cell. While this is well described in vitro, little evidence of this interaction is available in vivo. Methods Patients (pts) were treated on the recommended phase 2 dose (RP2D) of FLZ (multi-step lead-in dose followed by 500ng/kg/day, in 28-day cycles). We studied the bone marrow (BM) tissue samples for 6 primary refractory pts at baseline and after treatment. Response assessment was performed at day 25±3 days of each cycle. Serial BM samples were evaluated using 2 different staining panels (PD-L1, FoxP3, CD8, CD3, CD103 / CD123, CD3, CD57, CD16) on consecutive slides. Slides were stained using a Leica BondRx autostainer and fluorescence imaged using a Polaris Vectra 3 and analyzed using inForm software. A density-based clustering algorithm developed and run in QuPath was used to quantify CD3+ T cell clusters. Results Six pts with primary refractory AML were included in this report. Pts were heavily pretreated (median prior lines of therapy was 3, range 2-9), and had adverse cytogenetic risk (ELN 2017). Three pts had a complete remission (CR) after 1 cycle of therapy (CR, CRh, CRi), two went on the receive allogeneic stem cell transplant (HSCT). In baseline BM samples, CD3 and CD8 cell infiltrates were higher in CR vs non-responders (CD3+ 18.3% ±6.9 vs 9.3% ±1.8; CD8+ 9.4% ±3.5 vs 4.8% ±1.2; mean±SEM). Two of the three CR patients, who underwent HSCT, developed clusters (Figure 1) in their on-treatment biopsies with 65 and 22 clusters of an average of 34 and 17 T cells per cluster, respectively. All clusters in CR pts were found on or adjacent to CD123+ cells. The BM biopsy of the CR pt with no detected clusters had no unequivocal evidence of residual/recurrent leukemic blasts. This pt had their dose interrupted early due to non-treatment related AE (infectious complication) and did not receive a full cycle of treatment; the response was transient and the pt relapsed shortly thereafter. NK cells (CD57+CD16+) were increased in post treatment biopsies of CR vs non-responders (0.93 ±0.31 vs 0.27 ±0.13; mean±SEM) with the largest fold increase in CR (28 vs 9). Lastly, post treatment biopsy PD-L1 expression was higher in non-responders than CR (23% vs 16%) with non-responders exhibiting the largest fold change in total PD-L1+ cells (10.9 vs 2.2). Summary Consistent with its proposed mechanism of action, these data highlight for the first time, the dynamic induction of an increase in T-cell infiltration, and clustering around CD123 AML cells in the bone marrow microenvironment of two AML patients that responded to FLZ. In pts with resistance to FLZ (non-responders) PD-L1 induction was significantly higher indicating that in some pts treatment with sequential check point inhibitor could obviate this mechanism of resistance A trial combining FLZ with sequential administration of a PD-1 inhibitor (MGA012) is currently recruiting pts. Figure 1. Baseline and on-treatment IHC of BM biopsies of a FLZ-treated CR pt showing cluster formation following treatment. Disclosures Bifulco: Ventana: Other: advisory board; PrimeVax: Equity Ownership, Other: ScientificBoard; BMS: Other: Advisory Board; Providnece: Patents & Royalties: Imaging processing; Halio Dx: Other: advisory board. Wigginton:macrogenics: Employment, Equity Ownership; western oncolytics: Consultancy, Other: consultancy. Muth:MacroGenics, Inc.: Employment, Equity Ownership. Davidson-Moncada:MacroGenics, Inc.: Employment, Equity Ownership. Fox:Akoya: Research Funding; Bristol Myers Squibb: Research Funding; Definiens: Membership on an entity's Board of Directors or advisory committees; Macrogenics: Research Funding; Ultivue: Membership on an entity's Board of Directors or advisory committees.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 2793-2793 ◽  
Author(s):  
Karthik Nath ◽  
Soi C. Law ◽  
Muhammed B. Sabdia ◽  
Lilia Merida De Long ◽  
Mohamed Shanavas ◽  
...  

Introduction. Intra-tumoral T-cell infiltration is associated with R-CHOP responsiveness in aggressive B-cell lymphoma (Keane, Lancet Haem 2015). These patients also have a broad (i.e. diverse) intra-tumoral T-cell receptor (TCR) repertoire with a ~20% superior survival compared to those with a narrow (i.e. clonal) repertoire after R-CHOP therapy. Here, the major contributor to the TCR clonal expansion were CD8+ T cells (Keane, CCR 2017). Paradoxically, our recent results in Follicular Lymphoma (FL) (Tobin, JCO in press) found that clonal T-cell expansions were markedly enriched in those patients that experienced progression of disease within 24 months (POD24). Given that FL is a histological subtype associated with a tumor microenvironment distinct from DLBCL including numerous CD4+ T-follicular helper cells (TFH), we now expand upon these findings by comparing TCR repertoires across histological subtypes. We then established whether the TCR repertoire in FL is related to differential TCR clonal expansions between different T-cell subsets and immune checkpoints. Finally, the overlap between tissue and blood TCR repertoires was investigated. Methods. Firstly, unbiased, high-throughput TCRβ sequencing (ImmunoSEQ, Adaptive Biotechnologies) was compared in 164 FFPE tissues (12 healthy nodes, 40 FL, 88 DLBCL, and as a comparator tumor known to be sensitive to checkpoint blockade and to have a high neoantigen burden, 24 melanoma tissues). Next, to determine the contribution of individual T-cell subsets to overall clonality, a further 21 fresh de-aggregated/cryopreserved FL tumor samples were FACS sorted into four T-cell groupings: CD8+ cytotoxic T-lymphocytes (CTLs), CD4+ TFH, CD4+ regulatory T-cells (TREGs) and 'other' (non-TFH/TREG) CD4+ T-cells. Flow cytometry quantified the expression of the checkpoints LAG3, TIM3 and PD1. Then, 5 FL paired tissue/blood samples were tested for shared TCR clones. Results. FL exhibited strikingly reduced TCR repertoire clonality (higher diversity) compared to DLBCL, melanoma and healthy lymph nodes (Fig 1A). Analysis of de-aggregated sorted nodal T-cells revealed a more complex TCR repertoire. The outcome measure was median clonality index (CIx ranging from '0' or minimal, to '1' or maximal clonality). Large T-cell clones in FL (CIx=0.12) predominantly resided within the CTL subset (34% all T-cells). By contrast, there was marked T-cell diversity in TFH (CIx=0.04; 27% all T-cells), TREG (CIx=0.02; 7% all T-cells) and 'other' CD4+ T-cells (CIx=0.02; 32% all T-cells) (Fig 1B). The CTL population had a bimodal expression for PD1 (+51%/-49%), a marker in FL that has been shown to remain functionally active unless co-expressed with LAG3 and/or TIM3 (Yang, Oncotarget 2017). These dual-checkpoint expressing CTLs have reduced capacity to produce cytokines or lytic granules (i.e. they are 'exhausted'). Notably, 54% of the PD1+ CTLs co-expressed either LAG3 or TIM3. Put together, these results are consistent with expanded CTL clones that are frequently functionally exhausted. In contrast, TFH, TREG and 'other' CD4+ T-cells had a low expression of LAG3 and TIM3, although PD1 was frequently found (as expected, particularly in the TFH cells). Finally, in paired tissue/blood samples, there was weak overlap between the circulating and intra-tumoral TCR repertoire in CTLs and TFH T-cells. Conclusion. Although FL has a markedly less clonal TCR repertoire compared to DLBCL, melanoma and even healthy nodes, this result is misleading. Detailed analysis on sorted intra-tumoral T-cell subsets in FL revealed large clonal expansions in CTLs, with approximately half of these classified as functionally exhausted (dual-positive for PD1 and LAG3 and/or TIM3), a state potentially amenable to reversal by dual-checkpoint blockade. The explanation for TCR repertoire diversity lies in CD4+ T-cells (representing approximately two-thirds of T-cells, including the large TFH subset). T-cells in blood did not reflect FL tissue T-cell clones, further highlighting the need for sorted intra-tumoral nodal tissues to accurately assess TCR repertoires in FL. Further characterization of the neo-antigenic targets that CTL clones potentially recognize is required. These results have implications for therapeutic vaccine design and selective recruitment of patients for immune checkpoint blockade. Disclosures Keane: MSD: Consultancy; Gilead: Consultancy; Celgene: Consultancy; Roche: Consultancy, Other: Travel Grant; BMS: Research Funding. Gandhi:Roche: Honoraria, Other: Travel Support; Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Membership on an entity's Board of Directors or advisory committees; Amgen: Honoraria; Bristol Myers Squibb: Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Honoraria, Research Funding.


Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 32-33
Author(s):  
Raphael Lutz ◽  
Abdelrahman Mahmoud ◽  
Mohamed H.S. Awwad ◽  
Charles D. Imbusch ◽  
Tobias Boch ◽  
...  

To date, multiple myeloma (MM) remains an incurable disease with only a minor fraction of patients experiencing long-term remission (LTR) over 7 years after a single therapy line. Myeloma cells strongly depend on the interaction with their bone marrow microenvironment (BMME), but the molecular and cellular adaptations of the BMME to active MM disease and the role of the immune system in patients experiencing LTR remain poorly understood. In order to gain a global and detailed understanding of the BMME, we profiled over 290.000 BM resident cells from 11 MM patients in LTR 7 to 17 years after first-line therapy and 3 healthy donors using droplet-based single-cell RNA sequencing. Paired BM samples collected at initial diagnosis enabled us to analyze the changes from first diagnosis to the state of LTR in individual patients. At initial diagnosis, we observed significant remodeling of the T cell, NK cell and myeloid compartments which was only partially reversible upon LTR. In- depth analysis of the CD8+ T- cell compartment revealed an unknown immunophenotype of myeloma-associated CD8+ T (MAT) cells expressing key mediators of T cell dysfunction such as NR4A2. The amino acid transporter LAT1 (SLC7A5), which is known to be critical to maintain the activation state of T cells, and the surface marker CD6 were specifically expressed by MAT cells. We validated the existence of this novel T cell immunophenotype in an independent group of 30 MM patients using FACS. The number of MAT cells was associated with myeloma cell burden indicating that MAT-cells might be an indirect marker for tumor load within the BM. The clinical and prognostic meaning of this population is currently under investigation. Within the myeloid compartment, we detected myeloma associated myeloid (MAM) cells at initial diagnosis that were only present in case of active disease. These MAM cells shared features of immunosuppression, inflammation and migration as well as chemotaxis hinting towards a phenomenon of immune cell recruitment to the site of disease. At the LTR stage, 6 of 11 patients were still in complete remission (CR), while 5 patients presented with detectable disease activity after having achieved a CR. In the CR-group we observed a healthy-like state in the BMME but still detected a myeloma associated imprint even in minimal residual disease negative patients. Within the CD8+ T cell compartment, this imprint included a higher metabolic activity in the naïve T cell compartment as well as a higher grade of cytotoxicity within the effector T cell and NK cell compartment. These observations might reflect a state of active immunosurveillance in MM patients to maintain CR at the LTR state. In contrast, 5 LTR patients with detectable disease activity lost the CR associated immune signature approaching a BMME remodeling similar to initial diagnosis. Increasing disease activity over the next 2 years within this patient population showed that we captured a state of early relapse. This enabled us to describe programs specific to early relapse in comparison to the full- blown disease state. In this context, an increase in plasmacytoid dendritic cells (pDCs), key players in the production of interferons, was observed at the stage of early relapse hinting towards a role for pDCs in establishing the inflammatory changes in the BMME upon resurgence of disease. Together, this study provides a comprehensive overview of the molecular and cellular patterns within the BMME that underlie active myeloma disease as well as LTR in MM. We describe novel immunophenotypes of T cells and myeloid cells associated with myeloma cell burden within the BM. At the stage of LTR, our results reveal how patients in CR approach a healthy-like state but still preserve an imprint of MM potentially associated with active immunosurveillance. Finally, this study deepens the understanding how BMME remodeling evolves from an early phase of relapse to a full-blown disease. Disclosures Durie: Amgen, Celgene, Johnson & Johnson, and Takeda: Consultancy. Raab:Novartis: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; Takeda: 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; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees; Heidelberg Pharma: Research Funding. Müller-Tidow:Pfizer: Research Funding, Speakers Bureau; Daiichi Sankyo: Research Funding; BiolineRx: Research Funding; Janssen-Cilag GmbH: Speakers Bureau. Goldschmidt:BMS: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Grants and/or provision of Investigational Medicinal Product:, Research Funding; Takeda: Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Honoraria, Research Funding; Merck Sharp and Dohme (MSD): Research Funding; Johns Hopkins University: Other: Grants and/or provision of Investigational Medicinal Product; Dietmar-Hopp-Foundation: Other: Grants and/or provision of Investigational Medicinal Product:; Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Grants and/or provision of Investigational Medicinal Product, Research Funding; Incyte: Research Funding; Celgene: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Grants and/or provision of Investigational Medicinal Product:, Research Funding; Adaptive Biotechnology: Membership on an entity's Board of Directors or advisory committees; GlaxoSmithKline (GSK): Honoraria; University Hospital Heidelberg, Internal Medicine V and National Center for Tumor Diseases (NCT), Heidelberg, Germany: Current Employment; Chugai: Honoraria, Other: Grants and/or provision of Investigational Medicinal Product:, Research Funding; Sanofi: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other, Research Funding; Molecular Partners: Research Funding; Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Other: Grants and/or provision of Investigational Medicinal Product:, Research Funding; Mundipharma GmbH: Research Funding.


Blood ◽  
2012 ◽  
Vol 120 (21) ◽  
pp. 565-565
Author(s):  
Gullu Topal Gorgun ◽  
Gregory Whitehill ◽  
Jennifer Lindsey Anderson ◽  
Teru Hideshima ◽  
Jacob P. Laubach ◽  
...  

Abstract Abstract 565 Background: The interaction of myeloma (MM) cells with bone marrow accessory cells induces genomic, epigenomic and functional changes which promote tumor development, progression, cell adhesion mediated-drug resistance (CAM-DR), and immune suppression. As in other cancers, bidirectional interaction between MM cells and surrounding cells regulates tumor development on the one hand, while transforming the BM microenvironment into a tumor promoting and immune suppressive milieu on the other. Recent developments in targeted therapies have indicated that generation of the most effective therapeutic strategies requires not only targeting tumor or stroma cells, but also methods to overcome blockade of anti-tumor immune responses. In addition to lymphoid immune suppressor cells such as regulatory T cells (Tregs), distinct populations of myeloid cells such as myeloid derived suppressor cells (MDSCs) can effectively block anti-tumor immune responses, thereby representing an important obstacle for immunotherapy. While MDSCs are rare or absent in healthy individuals, increased numbers of MDSCs have been identified in tumor sites and peripheral circulation. Recent studies have in particular focused on MDSCs in the context of tumor promoting, immune suppressing, stroma in solid tumors. However, their presence and role in the tumor promoting, immune suppressive microenvironment in MM remains unclear. Methods: Here we assessed the presence, frequency, and functional characteristics of MDSCs in patients with newly diagnosed or relapsed MM compared to MM patients with response and healthy donors. We first identified a distinct MDSC population (CD11b+CD14−HLA-DR-/lowCD33+CD15+) with tumor promoting and immune suppressive activity in both PB and BM of MM patients. Moreover, we determined the immunomodulatory effects of lenalidomide and bortezomib on induction of MDSCs by MM cells, as well as on MDSC function. Results: MDSCs were significantly increased in both PB and BM of patients with active MM compared to healthy donors and MM in response (p<0.01). To determine whether the CD11b+CD14−HLA-DR-/lowCD33+CD15+ myeloid cell population represents functional MDSCs, we first assessed tumor promoting role of MDSCs in the MM microenvironment by culturing MM cell lines with MM patient bone marrow stroma cells (BMSC), with or without depletion of MDSCs. Importantly, BMSC-mediated MM growth decreased to baseline levels of MM cells alone when MDSCs were removed from the BMSC microenvironment. Moreover, MDSCs isolated from MM-BM using magnetic-Ab and/or FACS sorting cell separation, directly induced MM cell growth and survival, evidenced by 3H-thymidine incorporation and MTT assays. Since the interaction between tumor and stromal accessory cells is bidirectional, we next analysed the impact of MM cells on MDSC development. Importantly, MM cell lines cultured with PBMCs from healthy donors induced a 7 fold increase in MDSCs. We also examined the immune suppressive functions of MDSCs in cultures of autologous T cells with T cell stimulators, in the presence and absence of MDSCs from MM-PB or MM-BM. Freshly isolated MDSCs from both MM-PB and MM-BM induced significant inhibition of autologous T cell proliferation. Moreover, MDSC-associated immune inhibitory molecules arginase-1 (ARG-1) and reactive oxygen species (ROS), as well as inhibitory cytokines IL-6 and IL-10, were significantly increased in BM MDSCs, evidenced by intracellular flow cytometry analysis. In addition, MM BM MDSCs induced development of Treg from autologous naïve CD4+T cells. Finally, we analysed whether MDSCs impacted response to bortezomib and lenalidomide. Culture of MDSCs with MM cell lines, with or without bortezomib (5nM) and lenalidomide (1uM), demonstrated that less MM cell cytotoxicity in the presence of MDSCs. Conclusions: Our data show that MDSCs are increased in the MM microenvironment and mediate tumor growth and drug resistance, as well as immune suppression. Therefore targeting MDSCs represents a promising novel immune-based therapeutic strategy to both inhibit tumor cell growth and restore host immune function in MM. Disclosures: Raje: Onyx: Consultancy; Celgene: Consultancy; Millennium: Consultancy; Acetylon: Research Funding; Amgen: Research Funding; Eli-Lilly: Research Funding. Munshi:Celgene: Consultancy; Millenium: Consultancy; Merck: Consultancy; Onyx: Consultancy. Richardson:Novartis: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Millennium: Membership on an entity's Board of Directors or advisory committees; Johnson & Johnson: Membership on an entity's Board of Directors or advisory committees. Anderson:Celgene: Membership on an entity's Board of Directors or advisory committees; Millennium: Membership on an entity's Board of Directors or advisory committees; Onyx: Membership on an entity's Board of Directors or advisory committees.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 1868-1868 ◽  
Author(s):  
Billy Michael Chelliah Jebaraj ◽  
Annika Scheffold ◽  
Eugen Tausch ◽  
Judith A. Fox ◽  
Pietro Taverna ◽  
...  

Abstract B cell receptor signaling (BCR) in chronic lymphocytic leukemia (CLL) drives tumor cell proliferation and survival. Inhibition of Bruton's tyrosine kinase (BTK), a key enzyme in the BCR pathway, has proved to be efficacious even in poor-risk and chemo-refractory patients. However resistance to the BTK inhibitor ibrutinib has been shown to emerge in a subset of CLL patients. Of importance, the C481S BTK mutation conferred resistance by preventing the covalent binding of ibrutinib to its target cysteine 481 in BTK. Vecabrutinib (formerly known as SNS-062, a succinate salt) is a novel, highly potent, next generation noncovalent BTK inhibitor which demonstrated biochemical and cellular activity against C481S BTK mutant in vitro. However, the efficacy of vecabrutinib and its impact on the T-cell microenvironment has not been studied in in vivo preclinical CLL models. In the present study, the efficacy of vecabrutinib was investigated using the Eµ-TCL1 adoptive transfer model. Mice were randomized to treatment with either 40mg/kg vecabrutinib succinate, twice daily by oral gavage (n=6) or vehicle control (n=6). The mice were sacrificed after 2 weeks of treatment and changes in tumor burden as well as alterations in T-cell microenvironment were analysed in detail. Treatment with vecabrutinib decreased tumor burden as observed by a significant decrease in WBC count (36.5 vs. 17.1 giga/L; P=0.002), spleen weight (median 0.56g vs. 0.31g; P=0.005) and liver weight (median 1.5g vs. 1.2g; P=0.005) compared to vehicle treatment. Correspondingly, the CD5+ CD19+ tumor cells were significantly decreased in blood (P=0.002) and spleen (P=0.002) while no significant difference was observed in bone marrow (P=0.818) upon treatment with vecabrutinib. Since BTK inhibition is known to reshape the tumor microenvironment, we studied the impact of vecabrutinib specifically on T-cell subsets. Firstly, no difference in the proportions of CD4 or CD8 expressing T-cells was observed in mice treated with vehicle or vecabrutinib. However, of interest, the percentage of CD4+ CD25+ FoxP3+ regulatory T cells (Tregs) were significantly decreased upon treatment with vecabrutinib in peripheral blood (P=0.026) and spleen (P=0.009). The decrease in Tregs was due to reduced proliferation of these cells upon exposure to the drug as measured by Ki-67 staining. Also, the Tregs expressing the maturation and activation markers such as CD103 and GITR were significantly decreased in blood and spleen upon drug treatment. Further, we analysed the changes in CD8 T-cell subsets following treatment with vecabrutinib. Treatment with the drug resulted in expansion of the CD127+ CD44- naïve CD8 T-cells in blood, bone marrow and spleen (all P values 0.002) while the CD127+ CD44+ memory CD8 T-cells were significantly decreased in bone marrow and spleen (all P values 0.009). Also, the CD127low CD44int-hi effector CD8 T-cells were decreased in blood (P=0.004), bone marrow (P=0.004) and spleen (P=0.002) upon vecabrutinib treatment. Therefore, vecabrutinib treatment did not alter the percentage of CD4+ and CD8+ T cells in mice however, significant changes in the subset composition of the CD4 and CD8 T cells were observed. Lastly, to analyse the impact of vecabrutinib on survival, a cohort of mice (n=12) were transplanted with 5 million splenic tumor cells isolated from Eµ-TCL1 transgenic mice. After allowing for engraftment, the mice were randomized to treatment with the drug (n=6) or vehicle (n=6). Of note, the mice treated with the drug showed a significant increase in survival (median 35 days from transplant; P<0.001) compared to treatment with vehicle (median 28 days). In summary, vecabrutinib was efficacious in vivo in a preclinical CLL adoptive transfer model, decreasing tumor burden in different organs and significantly improving survival. Treatment with the drug altered the T-cell architecture in vivo. Of interest, the immunosuppressive Tregs, which protect the tumor from immune surveillance were decreased in various tissue compartments; however, a decrease in the effector CD8 T cells might impact anti-tumor immunity if there is a consistent effect upon drug treatment. Vecabrutinib antitumor activity and effects on T-cell populations in vivo in this preclinical CLL model are intriguing, merits further investigation and supports the ongoing phase 1b/2 study in patients with previously treated B-lymphoid malignancies (NCT03037645). Disclosures Tausch: AbbVie: Consultancy, Other: Travel grants; Celgene: Consultancy, Other: Travel grants; Gilead: Consultancy, Other: Travel grants. Fox:Sunesis Pharmaceuticals: Employment; Amphivena Therapeutics: Employment. Taverna:Sunesis Pharmaceuticals: Employment. Stilgenbauer:Sanofi: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Genentech: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Boehringer-Ingelheim: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Hoffmann La-Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; GSK: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: 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, Research Funding; Genzyme: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pharmcyclics: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Mundipharma: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.


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