scholarly journals Large-Scale Mass Cytometry Reveals Significant Activation of Innate and Adaptive Immunity in Bone Marrow Tumor Microenvironment of Iberdomide-Treated Myeloma Patients

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 730-730
Author(s):  
Oliver Van Oekelen ◽  
Michael Amatangelo ◽  
Manman Guo ◽  
Bhaskar Upadhyaya ◽  
Geoffrey Kelly ◽  
...  

Abstract Background: Iberdomide (IBER) is a potent cereblon E3 ligase modulator (CELMoD agent) with direct anti-tumor and immunomodulatory activities in multiple myeloma (MM). An ongoing phase 1b/2a multicenter, open-label, dose-escalation study has reported favorable efficacy and safety of IBER plus low-dose dexamethasone (DEX) in heavily pretreated patients with relapsed/refractory MM (RRMM). While previous studies focused on IMiD/CELMoD agent immune effects in peripheral blood (Amatangelo, ASH 2019), a large-scale characterization of pharmacodynamics in the bone marrow (BM) tumor microenvironment (TME) has not been reported. Here, we present data on BM aspirates (BMAs) of 99 individuals pre-/post-treatment with IBER in the largest study of TME immune dynamics of RRMM patients to date. Methods: A mass cytometry (CyTOF) panel was designed/validated to capture deep and comprehensive immunophenotyping of T, B, and NK cell subpopulations. In all, staining with 37 metal-tagged Abs characterized 110 supervised cell phenotypes. Paired longitudinal assessment was conducted for viably preserved BMAs of IBER±DEX treated patients in dose-escalation of the CC220-MM-001 Ph 1b/2a study pre (SCREEN) and post treatment (cycle 2 day 15, C2D15). For a subset of patients (n=12), samples were available at disease progression (PD) . A training set analysis (n=64, data reported here) collected in North America, was validated against an independent test set (n=35) recruited in Europe. An R-based computational workflow and manual hierarchical gating identified subpopulations of B, T, NK and myeloid cells. In total, more than 5M immune cells were captured (approx. 40K per specimen). Cell populations are expressed as percentage of non-tumor bone marrow mononuclear cells (BMMC, i.e. CD45+CD66b-). P values are by Mann-Whitney U test for unpaired and Wilcoxon test for paired analyses. Results: IBER treatment resulted in profound immune shifts in the TME. B cells decreased (median SCREEN 3.3% vs C2D15 0.7%, p=0.001), with significant reduction of naïve (p=0.001) and regulatory B cells (p<0.001). Decrease occurred in CD4+ T cells (median 15.3% vs 8.9%, p<0.001), whereas CD8+ T cells increased (median 14.9% vs 17.4%). T cell subtypes showed a shift towards cytotoxic effector-memory phenotype (CCR7-CD45RA) (median 67.6% vs 80.9% of CD4+ T cells, p<0.001 and median 78.2% vs 89.2% of CD8+ T cells, p<0.001) with concurrent reduction of naive (CD45RA+CCR7+), central-memory (CD45RA-CCR7+) and EMRA (CD45RA+CCR7-) T cells. The shift towards a cytotoxic TME is confirmed by significant increases of GZMB+, HLA-DR+, ICOS+, Ki-67+, CXCR3+ and CD38+ activated CD8+ T cells (p≤0.001, paired). Conversely, CD8+ T cells expressing inhibitory checkpoints TIGIT and KLRG1 decreased significantly (p≤0.001, paired). Similar changes (with minor deviations) were noted in the CD4+ T cell compartment. NK cells increased (median 4.2% vs 8.7%, p=0.003), with increase of both CD56hi cytokine-producing (median 1.9% vs 4.5%, p<0.001) and CD16+ cytolytic (median 1.8% vs 2.6%, p=0.06) subsets. NKG2A+ and NKG2D+ subsets were increased (p<0.001, paired), as well as subsets expressing markers of activation: GZMB, ICOS, CD38 and PD-1 (p<0.05, paired). TIGIT+ NK cells decreased significantly. NKT cells were also significantly increased (median 1.4% vs 2.2%, p<0.001). Increase of NK and NKT cells expressing the activating receptor NKG2D was limited to patients achieving best response of PR or better. Additional analyses correlating immune phenotypes at baseline/post-treatment with outcomes are ongoing and will be reported at the meeting, as will data on how prior treatment (e.g. with CD38-mAb) shapes the TME at baseline and affects response. Conclusion: Our analysis on a large cohort of RRMM patients provides unique insights into the heterogeneity of the immune TME of heavily pretreated MM patients and how it changes upon treatment with IBER±DEX. We found significant increases of effector T and NK cells in paired analysis, demonstrating innate and adaptive immune enhancement in the MM bone marrow niche as an important mechanism of action. Importantly, these changes were observed throughout dose escalation and in patients previously refractory to lenalidomide/pomalidomide. The presented platform of large-scale immune profiling demonstrates a strategy to design and study rational combinations with (other) immune-enhancing therapies in MM. Figure 1 Figure 1. Disclosures Amatangelo: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Gooding: Bristol Myers Squibb: Research Funding. Jagannath: Legend Biotech: Consultancy; Bristol Myers Squibb: Consultancy; Karyopharm Therapeutics: Consultancy; Janssen Pharmaceuticals: Consultancy; Takeda: Consultancy; Sanofi: Consultancy. Pierceall: BMS: Current Employment, Current equity holder in publicly-traded company. Parekh: Foundation Medicine Inc: Consultancy; Amgen: Research Funding; PFIZER: Research Funding; CELGENE: Research Funding; Karyopharm Inv: Research Funding. Thakurta: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company.

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 34-35
Author(s):  
Anna Kalff ◽  
Sam Norton ◽  
Tiffany Khong ◽  
Malarmathy Ramachandran ◽  
Mary H. Young ◽  
...  

The LEOPARD trial evaluated lenalidomide and alternate day prednisolone (RAP) as post ASCT maintenance in newly diagnosed transplant eligible MM patients (TE NDMM). 60 patients were recruited. Estimated median potential follow-up was 44 months (IQR 26m - 52m). Median PFS from time of commencing RAP was 38.3m (95% CI, 25.8 to 54.8); median OS was not reached (71.4% of patients were alive at 36 months). Here we present the findings from correlative immune studies of this trial. Aims: To undertake mass cytometry (CyTOF) based immune profiling in patients with TE NDMM treated with RAP maintenance post ASCT. Methods: The LEOPARD trial was a phase II, multi centre, open label, single arm study of RAP maintenance after a single melphalan conditioned (200mg/m2) ASCT as part of up-front therapy. Patients were restaged at D+42 ASCT, and if eligible, were commenced on RAP maintenance (LEN 10mg daily increasing to 15mg daily after 8 weeks and alternate day prednisolone 50mg) within 8 weeks of D+0 of the ASCT. Therapy continued until toxicity/progression. CyTOF was performed in sequential samples in two selected groups of patients: long runners (LR, n=7), defined as those with PFS > 36 months (median) and early relapsers (ER, n=8), defined as those who progressed/died before reaching the lower quartile of PFS. [All patients had peripheral blood collected at baseline (pre-ASCT), 6w post-ASCT and weeks 4, 8, 12, 20, 28 and 40 of RAP]. Cells were barcoded using the Cell-ID 20-Plex Pd barcoding kit (Fluidigm) followed by staining with sub-set/function defining antibodies (targeting myeloid, B, T and NK cells: CD45, CD3, CD19, CD5, CD1c, CD226. CD8, CD11c, CD16, CD127, CD138, CD123, NKG2A, TIGIT, TIM3, CD45RA. CD274, CD27, CD197, CD28, Ki67, CD66b, CD183, KLRG1, CD43, NKG2D, CD38, CD278/ICOS, CD25, HLA-DR, CD4, CD57, GramB, PD-1, CD14, CD56, CD11b, Tbet, CD33). Samples were acquired on the Helios instrument. Supervised analysis was performed to determine differences in canonical immune cell populations. Unsupervised analysis was then performed: data were clustered in the VORTEX package. Significant differences in cluster frequency were assessed by Mann-Whitney test for statistical significance. Cluster phenotypes were determined and validated via multiple visualisation approaches. Results: Median age was 56yrs for LR versus 63yrs for ER. Median PFS for LR was 46.3m (38.4 - 51.5m) versus 10.2 m (2.1 - 21.3m) for ER. Supervised analysis was performed on all samples, dichotomized into baseline and last time point sampled for each patient. At baseline, Ki67+CD8+ T cells, ICOS+CD8+ T cells, HLA-DR+CD4+ T cells and CD11c+ myeloid cells were enriched in LR compared to ER. At the last timepoint sampled, Ki67+CD8+ T cells and ICOS+CD8+ T cells were again enriched in LR compared to ER. Conversely, B-reg-like cells (CD19+CD5+CD43-) were enriched in ER compared to LR at the last timepoint sampled. Unsupervised analysis was performed on all samples (all timepoints were pooled). Five clusters were significantly enriched in LR compared to ER. Four of these clusters represented activated/cytotoxic NK cells: CD56 dim, CD16-, NKG2A(CD159a)+, NKG2D(CD314)+, Granzyme B+ and CD38+, and additional expression of CD57 on one cluster; one cluster represented a mature myeloid population, with high expression of HLA-DR, CD11b and CD11c and low expression of CD33. One cluster was significantly enriched in ER compared to LR, representing activated neutrophils, with high expression of CD66b, CD11b and CD16. The clusters that were enriched were then assessed longitudinally over all time points. There was no difference in the kinetics of these populations between groups. Conclusions Significant differences in both T-cell and NK cell populations were demonstrable at baseline in LR versus ER patients. Subsequently, durable responses to post-ASCT lenalidomide maintenance were associated with a cytotoxic, controlled immune response whereas early relapse was characterised by a more uncontrolled inflammatory response and the emergence of B-reg-like cells prior to relapse. We conclude that immune profiling at baseline and after initiation of therapy may help to predict a more sustained response to lenalidomide maintenance enabling pre-emptive tailored treatment decisions. Disclosures Kalff: Roche: Honoraria; Janssen: Honoraria; Amgen: Honoraria; CSL: Honoraria; Celgene: Honoraria. Young:Bristol Meyers Squibb: Current Employment, Current equity holder in publicly-traded company. Pierceall:Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Thakurta:Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company; Oxford University: Other: visiting professor. Oppermann:Bristol Meyers Squibb: Research Funding. Guo:Bristol Meyers Squibb: Research Funding. Reynolds:Novartis AG: Current equity holder in publicly-traded company. Spencer:AbbVie, Celgene, Haemalogix, Janssen, Sanofi, SecuraBio, Specialised Therapeutics Australia, Servier and Takeda: Consultancy; AbbVie, Amgen, Celgene, Haemalogix, Janssen, Sanofi, SecuraBio, Specialised Therapeutics Australia, Servier and Takeda: Honoraria; Amgen, Celgene, Haemalogix, Janssen, Servier and Takeda: Research Funding; Celgene, Janssen and Takeda: Speakers Bureau.


Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 3781-3781
Author(s):  
Eolia Brissot ◽  
Sawa Ito ◽  
Kit Lu ◽  
Carly Cantilena ◽  
B. Douglas Smith ◽  
...  

Abstract Adult acute lymphoblastic leukemia (ALL) remains a therapeutic challenge with less than 40% long term survival. There is growing evidence that malignant diseases exert an “immune editing” effect which blocks antitumor immunity and permits tumor growth through immune evasion. Such tumor escape represents an obstacle for anticancer immunotherapy. In ALL such immune escape mechanisms are not well characterized. We therefore profiled cellular immunity in ALL, by characterizing the subsets of T cells, regulatory T cells (Treg), natural killers (NK) cells and γd T cells, using various functional markers including T cell exhaustion and NK cell activating or inhibitory molecules. Forty ALL patients were included in the study. The median age was 39 y (range, 18-75). Thirty-six presented with B-lineage ALL and 4 with T-lineage ALL. Mononuclear cells were isolated from blood (n=19) or bone marrow (n=21) at the onset of leukemia or at relapse. The median infiltration of blasts was 85% (range 24-96%). Healthy donor peripheral blood (n=12) and bone marrow (n=9), from age and gender matched population, were simultaneously analyzed as controls. Extra-and intra cellular staining were performed using using antibodies directed against CD3, CD4, CD8, CD45, CD45, CD45RA, CD45RO, CCR7, CD95, CD27, CD19, CD14, CD127, CD25, Foxp3, Helios, αβTCR, HLA-DR, CD117, CD20, CD10, CD22, CD34, LAG3, PD1, PDL1, CD56, NKG2A, NKG2C, NKG2D, KIR2DL1, KIR2DL3, CD57, CD33, CD11b, CD15, CD38 and CD24. Data were acquired on a BD LSRFORTESSA flow cytometer. The expression of programmed cell death 1 (PD-1, CD279) receptor on CD8+T cells was significantly increased in blood and bone marrow of ALL patients compared to healthy donors (p<0.0001 and p=0.004, respectively) (Fig. 1). Focusing on the different subsets, CD8+ effector memory T cells significantly over-expressed PD-1 in blood and bone marrow of ALL patients compared to healthy donors (p=0.008 and p=0.04, respectively). Moreover, there was a significant positive correlation between PD-1 expression on CD8+ effector memory T cells and blast infiltration (R2=0.23, 95%CI 0.026-0.76, p=0.04). Expression of the co-inhibitory receptor lymphocyte-activation gene 3 (LAG-3, CD223) was similar in ALL patients compared to healthy donors. A significantly higher frequency of T regulators (CD25+, CD127 low, Foxp3+) was found in bone marrow microenvironment in ALL patients (4.3% versus 1.6%, p=0.02). Concerning γd T cells, frequency was similar in blood and bone marrow of ALL patients compared with healthy donors. There was a significantly lower frequency of CD56dimNKG2A+KIR-CD57- (p=0.02) in the bone marrow of ALL patients indicating a maturation arrest. Interestingly, expression of the activating receptor NKG2D which plays an important role in triggering the NK cell–mediated tumor cell lysis was significantly reduced in NK cells of ALL patients while no difference in NK cell expression of NKG2C was found(Fig. 2). Adult patients with ALL show evidence of immune-editing of T cells and NK cells. This global immunosuppressive mechanism may contribute to the eventual escape of ALL from immune control. PD-1, overexpression, described in acute myeloid leukemia and chronic myeloid leukemia has been implicated in T-cell exhaustion and subsequent tumor immune evasion. Our data suggests similar immune escape mechanisms pertain in ALL. Effective antileukemia immunotherapy will require targeting one or more of these immunosuppressive pathways to achieve optimum results. Disclosures Fathi: Seattle Genetics, Inc.: Consultancy, Research Funding; Takeda pharmaceuticals International Co.: Research Funding; Exelixis: Research Funding; Ariad: Consultancy.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 2096-2096 ◽  
Author(s):  
Laura Moreno ◽  
Aintzane Zabaleta ◽  
Diego Alignani ◽  
Marta Lasa ◽  
Patricia Maiso ◽  
...  

Abstract Novel agents have improved outcomes in MM, but prognosis after patients relapse remains poor and new drugs with novel MoA are needed. The breakthrough of immuno-oncology has rendered new therapeutic options, and most recently we reported on EM801, a novel BCMA-TCB that showed remarkably efficacy when used as single agent in primary bone marrow (BM) samples from MM patients (Seckinger, Blood 2015;126: abstr 117). Because of its novelty, further knowledge about the MoA of BCMA-TCB is of utmost importance to improve its efficacy by designing rational treatment combinations. In order to optimize the in vitro efficacy of the BCMA-TCB, we started by investigating in primary BM samples from 6 MM patients whether longer treatment periods with BCMA-TCB2 (a BCMA-TCB candidate sharing similar "2+1" structure of EM801 but displaying higher affinity to BCMA) would increase MM cell death. Upon treating samples with BCMA-TCB2 for 48h vs 96h, we noted a 2-fold increment in MM tumor cell lysis at 1nM and 10nM concentrations (Panel A). In parallel, the phenotypic profiles of CD4 and CD8 T cells showed that BCMA-TCB2 induced robust activation (ie. dose-dependent increment in CD69, CD25, HLADR after exposure to 100pM, 1nM and 10nM of BCMA-TCB2), but also led to the natural emergence of the checkpoint inhibitor PD-1 in the surface of activated CD4 and CD8 T cells (Panel B). We then investigated if there was a correlation between the percentage of PD-1 positive CD4 and CD8 T cells and the efficacy of BCMA-TCB2; interestingly, those patients with lower frequencies of PD-1 positive CD4 and CD8 T cells prior to treatment showed the highest rates of MM tumor cell lysis after 48h and 96h of BCMA-TCB2 at 10nM of (r=0.6, P=0.04; Panel C). By contrast, upon measuring the concentration of soluble BCMA and APRIL in the supernatants of primary BM samples from 16 MM patients treated with BCMA-TCB, we found no significant differences between responding (n=11) and non-responding (n=5) patients. Similar results were observed upon comparing the density of BCMA in the surface of MM tumor cells from responding vs non-responding patients (1256 vs 1522 SABC units; P=87). Since the efficacy of BCMA-TCB2 was found to be intrinsically related to the phenotype and activation status of T cells, we then investigated whether we could further harness immune cells by combining BCMA-TCB2 with three drugs representing different types of immunotherapy: lenalidomide (IMIDs), anti-PD1 (checkpoint inhibitors) and daratumumab (mAb). H929 MM cells were co-cultured with human leukocytes (n=5) and challenged to suboptimal concentrations of BCMA-TCB2 (10pM) alone, or in combination with standard doses of lenalidomide (1µM), anti-PD1 (10µg/ml) and daratumumab (10µg/ml) (Panel D). Interestingly, we observed that combining BCMA-TCB2 with lenalidomide or daratumumab significantly increased their anti-MM efficacy by 4-fold and 2.5-fold, respectively. Because lenalidomide and daratumumab share in common that they rely, at least in part, on activated NK cells to eradicate MM cells, we hypothesized whether such robust T cell activation induced by BCMA-TCB2 was leading to co-stimulation of NK cells. First, we demonstrated by analyzing the transcriptomes of T cells prior and after treatment exposure (n=3), that BCMA-TCB2 modulated the transcriptomes of CD4 and CD8 T cells (159 and 141 deregulated genes, respectively), consistent with enhanced activation and T-cell mediated inflammatory response (eg. TNFRS18, STAT1, CCL4). Furthermore, we observed a dose-dependent and significant increment of the CD69 (2-fold), CD25 (2.5-fold) and HLADR (4-fold) activation markers in the surface of NK cells from primary BM samples of 11 MM patients treated with BCMA-TCB2 (Panel E), suggesting a functional crosstalk between activated T cells and NK cells. In conclusion, we showed that the promising pre-clinical activity of the first-in-class IgG-based BCMA-TCB can be further enhanced by longer treatment periods followed by robust T cell activation. The observation that the efficacy of BCMA-TCB is intrinsically related to the activation status of T cells suggests its rational combination with IMIDs as demonstrated here. Most interestingly, potential crosstalk between activated T and NK cells could lead to enhanced function of the later immune subset, and provide a rational combination between BCMA-TCB and anti-CD38 antibodies to eradicate MM cells through highly activated T and NK cells. Figure Figure. Disclosures Strein: EngMab: Employment. Vu:EngMab: Employment. Paiva:Celgene: Honoraria, Research Funding; Janssen: Honoraria; Takeda: Honoraria, Research Funding; Sanofi: Consultancy, Research Funding; EngMab: Research Funding; Amgen: Honoraria; Binding Site: Research Funding.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 2345-2345
Author(s):  
Andrew F. Berdel ◽  
Christoph Rollig ◽  
Martin Wermke ◽  
Linus Angenendt ◽  
Leo Ruhnke ◽  
...  

Abstract Introduction Natural killer (NK) cells are key effectors in cancer immunosurveillance and posttransplant immunity, but shortage of environmental growth factors and deficient recognition of malignant cells may limit their anticancer efficacy. We hypothesized that the antibody-mediated anchoring of interleukin-2 (IL-2) to the leukemia-modified extracellular matrix (ECM) would increase NK cell abundance and activity to potentiate antibody-dependent cellular cytotoxicity (ADCC) against acute myeloid leukemia (AML) blasts. In this novel-novel combination dose-escalation phase 1 trial, we enrolled patients with AML relapse after allogeneic hematopoietic stem cell transplantation (HSCT) to evaluate the safety, pharmacokinetics, pharmacodynamics, and preliminary activity of F16IL2, an antibody-cytokine fusion protein composed of the human antibody fragment scFv(F16) in diabody format and two molecules of human IL-2, in combination with the Fc-optimized, ADCC-mediating anti-CD33 monoclonal antibody BI 836858. F16 specifically targets the A1 domain of the ECM protein tenascin C (TnC), which is spliced into the TnC molecule during active angiogenesis and tissue remodeling while it is virtually absent in normal tissues. Methods F16IL2 (10 - 20 Mio IU IV) was administered on days 1, 8, 15 and 22 of 28-day cycles, followed by administration of BI 836858 (10 - 40 mg IV) two days after each F16IL2 infusion. Dose escalation was performed over 4 dose levels (DL). Cohort 1 (10 Mio IU F16IL2 and 10 mg BI 836858, n = 5), cohort 2 (10 Mio IU F16IL2 and 20 mg BI 836858, n = 3), cohort 3 (20 Mio IU F16IL2 and 20 mg BI 836858, n = 4), cohort 4 (20 Mio IU F16IL2 and 40 mg BI 836858, n = 3). Safety and tolerability, pharmacodynamics and -kinetics, clinical efficacy and immune effector cell dynamics were investigated. This trial was registered at EudraCT as #2015-004763-37. Results Between December 2016 and March 2020, 15 patients with a median age of 50 years (range, 20 - 68) were enrolled and treated across 4 dose levels. Six patients (40%) had received two or more prior HSCT. The most frequent drug-related AEs (F16IL2 or BI 836858 or combination) were pyrexia (n = 13, 87%), chills (n = 12, 80%) and infusion-related reactions (n = 9, 60%), consistent with the expected toxicity profile of cytokine-armed or naked mAbs. These events were generally manageable, transient and of grade ≤ 2. One dose-limiting toxicity occurred at each of DL 3 (pulmonary edema) and 4 (acute GVHD). No patient died within the first 30 days of treatment initiation. Whereas no formal maximum tolerated dose (MTD) was reached, the maximum tested dose of 20 Mio IU F16IL2 and 40 mg BI 836858 was considered the recommended dose (RD). Three objective responses (1 CR, 1 CRi, 1 PR in extramedullary AML) were observed among 7 patients treated at the two higher DL, whereas no responses occurred at the two starting DL. Median OS among all 15 patients was 4.8 months (1.5 - 12.9), with a 6- and 12-month OS of 40% and 27%, respectively. Among those 7 patients whose AML was at least temporarily controlled with study treatment (CR/CRi, PR, SD), 12-month OS was 67% vs. 0% in non-responders. Combination therapy stimulated the expansion and activation of NK cells in bone marrow and peripheral blood. Conclusions To the best of our knowledge, this is the first study demonstrating that the strategy of potentiating ADCC with tumor-targeted immunocytokines is feasible in humans. In the difficult-to-treat situation of posttransplant AML relapse, responses were observed at higher DL, even in patients with extramedullary disease. The antibody-mediated targeted delivery of IL-2 to the ECM combined with anti-CD33 immunotherapy represents an innovative experimental approach associated with acceptable safety and encouraging biologic and clinical activity in posttransplant AML relapse. Disclosures Wermke: Novartis, Roche, Pfizer, BMS: Consultancy, Honoraria, Research Funding. Hemmerle: Philogen S.p.A.: Current Employment. Schäfers: Philogen S.p.A.: Research Funding. Rossig: BMS and Celgene: Honoraria; Pfizer: Honoraria; Novartis: Honoraria; AdBoards by Amgen: Honoraria. Stelljes: Pfizer: Consultancy, Research Funding, Speakers Bureau; Kite/Gilead: Consultancy, Speakers Bureau; Novartis: Consultancy, Speakers Bureau; MSD: Consultancy, Speakers Bureau; Celgene/BMS: Consultancy, Speakers Bureau; Medac: Speakers Bureau; Amgen: Consultancy, Speakers Bureau. Rueter: Boehringer Ingelheim Pharma GmbH & Co. KG: Current Employment. Neri: Philogen S.p.A.: Current Employment, Current equity holder in publicly-traded company, Divested equity in a private or publicly-traded company in the past 24 months, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties: Multiple patents on vascular targeting; ETH Zurich: Patents & Royalties: CD117xCD3 TEA. Berdel: Philogen S.p.A.: Consultancy, Current equity holder in publicly-traded company, Honoraria, Membership on an entity's Board of Directors or advisory committees. Schliemann: Roche: Consultancy; Philogen S.p.A.: Consultancy, Honoraria, Research Funding; Astellas: Consultancy; Pfizer: Consultancy; BMS: Consultancy, Other: travel grants; Boehringer-Ingelheim: Research Funding; Novartis: Consultancy; Jazz Pharmaceuticals: Consultancy, Research Funding; AstraZeneca: Consultancy; Abbvie: Consultancy, Other: travel grants.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 328-328
Author(s):  
Simone A Minnie ◽  
Nicole S Nemychenkov ◽  
Kathleen S Ensbey ◽  
Christine R Schmidt ◽  
Gregory Driessens ◽  
...  

Abstract Multiple myeloma is a largely incurable bone marrow (BM) resident plasma cell malignancy that is increasing in incidence. Autologous stem cell transplantation (ASCT) is the current standard consolidation therapy and a subset of patients achieve durable progression free survival that is suggestive of long-term immune control. Utilizing novel preclinical models, we have provided definitive evidence that this is largely mediated by T cell-dependent myeloma-specific immunity. In both patients and preclinical models, myeloma progression is associated with T cell dysfunction and expression of multiple inhibitory receptors suggesting a loss of immunosurveillance. In mice, we have demonstrated potent anti-myeloma efficacy of TIGIT blockade in both ASCT and non-transplant settings. Here we utilized identical TIGIT Abs that do or do not Fc bind to demonstrate that immunological efficacy after ASCT was absolutely dependent on ADCC (median survival was unreached (&gt;110 days) in Fc-binding vs 73 days in Fc-dead and 71 days in control Ig (cIg)-treated mice). Since TIGIT inhibition does not protect against myeloma relapse in all mice, it is apparent that combinational approaches are required to target non-responders. Therefore, we hypothesized that TIGIT blockade could be combined with immunomodulatory drugs (IMiDs) to provide synergistic anti-myeloma activity after ASCT. To that end, we utilized CRBN transgenic mice to investigate the efficacy of TIGIT blockade in combination with lenalidomide, the standard of care IMiD used in maintenance therapy after clinical ASCT. Briefly, B6 Vk*MYC myeloma-bearing (MM-bearing) mice were lethally irradiated and transplanted with B6 bone marrow (BM) and a suboptimal dose of T cells followed by anti-TIGIT or control Ig (100 mg twice weekly) for 5 weeks with lenalidomide (50 mg/kg daily gavage) or control diluent from D+14 for 3 weeks (Figure 1A). The combination of anti-TIGIT and lenalidomide provided synergistic anti-myeloma efficacy evidenced by prolonged median survival (109 days in combination vs &lt; 60 days in monotherapy/control-treated mice, p&lt;0.01; Figure B). Myeloma M bands were also suppressed in the combination treated mice relative to monotherapy or cIg-treated mice (p&lt;0.01; Figure 1). Analysis of BM CD8 T cells 6 weeks after ASCT demonstrated that combination therapy significantly decreased terminal exhaustion (TOX + TIM3 + CD101 + PD-1 + DNAM-1 ─) with an average of only 20% of CD8 T cells with an exhausted phenotype in the combination group compared to greater than 50% exhausted CD8 T cells in monotherapy or cIg-treated mice (p&lt;0.05; Figure 1C-D). The combination also increased the frequency of central memory and tissue-resident memory subsets (CD49b +CD69 +; p&lt;0.05; Figure 1C-D), and increased IFNγ production from activated (PD-1 +; p&lt;0.05; Figure 1E) cells compared to monotherapy or control Ig-treated mice. Importantly, these phenotypic changes were specific to the BM tumor microenvironment as we observed no effect of combination or monotherapy treatment on CD8 or CD4 T cells in peripheral blood. In sum, these data provide a strong rationale for combining TIGIT inhibition with immunomodulatory drugs to prevent the progression of myeloma. Figure 1 Figure 1. Disclosures Driessens: iTeos Therapeutics: Current Employment, Current equity holder in publicly-traded company. Holmberg: Up-To-Date: Patents & Royalties; Bristol Myers Squibb: Research Funding; Janssen: Research Funding; Merck: Research Funding; Millennium-Takeda: Research Funding; Sanofi: Research Funding; Seattle Genetics: Research Funding. Hill: NeoLeukin Therapeutics: Consultancy; Compass Therapeutics: Research Funding; NapaJen Pharma: Consultancy; Generon Corporation: Consultancy; Roche: Research Funding; iTeos Therapeutics: Consultancy, Research Funding; Syndax Pharmaceuticals: Research Funding; Applied Molecular Transport: Research Funding.


Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1613-1613
Author(s):  
Chad C Bjorklund ◽  
Michael Amatangelo ◽  
Hsiling Chiu ◽  
Jian Kang ◽  
Tiziana Civardi ◽  
...  

Abstract Background: Pomalidomide (POM) is an established agent in relapsed/refractory (R/R) multiple myeloma (MM) with direct cytotoxicity against MM cells and immunostimulatory activities in multiple cell types including T cells and NK cells. CC-92480 is a novel Aiolos/Ikaros degrading cereblon E3 ligase modulator (CELMoD ®) agent is currently being investigated in combination with the proteasome inhibitor (PI) bortezomib (BTZ) and corticosteroid dexamethasone (DEX), or with DEX only in R/R MM (CC-92480-MM-002 and CC-92480-MM-001). Previous results indicate that triplet combination of POM/BTZ/DEX may enhance some T, B and NK cell subpopulations, overcoming immunosuppression when compared to BTZ/DEX-only treated patients (Rao et al, 2019). Mechanisms of action (MOA) of CC-92480- and POM-mediated substrate depletion occurs via ubiquitination and proteasome degradation, where BTZ has been speculated as potentially antagonistic as a PI. Here, we report pre-clinical and clinical observations of an immune MOA of CC-92480 or POM in combination with BTZ. Results: To mimic the clinical pharmacokinetics, BTZ was utilized as a high-dose pulse method alone and in combination with POM or CC-92480, followed by flow cytometric measurements of Aiolos and Ikaros protein abundance in healthy donor (HD) T cells. The addition of BTZ modestly delayed CRBN-dependent substrate depletion compared to single agent POM or CC-92480; however, this effect was only apparent at early time points (1-6 hr) where the effect was negligible by 24 hr. To understand the functional implications of BTZ combination, we conducted CD3-stimulated PBMC-mediated cytotoxicity assay against H929 MM target cells in a co-culture model. The efficiency of POM or CC-92480 induced PBMC-mediated killing in a dose dependent manner (~65% increase compared to DMSO) were similar at a 100-fold lower dose range of CC-92480 compared to POM, with the effect not being altered by co-treatment with BTZ. These data were replicated with a POM or CC-92480 treated supernatant stimulation of purified NK cells co-culture, which induced an 80% reduction in target cell viability with the BTZ combination having no negative effects on CELMoD-mediated activity. Cytokine analysis on PBMC supernatants treated with either POM or CC-92480 in the absence or presence of BTZ-pulse showed a dose-dependent increase in IL-2 (&gt;2.4-fold) and Granzyme B (&gt;3.1-fold), which were not impacted by BTZ co-treatment. As a secondary readout on activation status, we measured multiple signaling molecules and activation markers on the cell surface of T and NK cell subsets in CD3 stimulated HD PBMCs treated with dose-dependent POM or CC-92480 with or without co-treatment of BTZ. Compared to DMSO controls, elevated expression levels of CD25 (IL2RA), CD278 (ICOS), Granzyme B, CD134 (OX40R) and HLA-DR were observed with both POM and CC-92480 on CD4, CD8 and NK cells demonstrating a CELMoD-mediated increase in immune activation. These effects were not impacted by the co-treatment of BTZ. Examination of peripheral blood samples from MM patients enrolled in the CC-92480-MM-001/002 (NCT03374085/NCT03989414) clinical trials revealed that CC-92480 promoted potent immunomodulation when administered in combination with DEX and with BTZ/DEX. These data included increased numbers of activated and central memory T cells, as well as increased Ki67+ proliferating T and NK cell populations compared to samples collected during the screening period before any drugs had been administered, consistent with earlier observation of POM in combination with BTZ/DEX treated patients. Conclusions: Taken together, these data demonstrate that POM and CC-92480 are potent immunomodulatory agents with enhanced induction of PBMC and NK mediated cell killing of MM tumor cells and activation of T and NK cells, at 100-fold lower concentrations of CC-92480 compared to POM. Additionally, we showed that combination with BTZ in preclinical assays and in the clinical setting did not antagonistically affect the immunostimulatory ability of POM or CC-92480. Disclosures Bjorklund: BMS: Current Employment, Current equity holder in publicly-traded company. Amatangelo: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Chiu: Bristol Myers Squibb: Current Employment, Current holder of individual stocks in a privately-held company, Current holder of stock options in a privately-held company. Kang: BMS: Current equity holder in publicly-traded company. Civardi: Bristol Myers Squibb: Current Employment. Katz: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Maciag: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company. Hagner: BMS: Current Employment, Current equity holder in publicly-traded company. Pourdehnad: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company, Patents & Royalties: No royalty. Bahlis: Pfizer: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Genentech: Consultancy; BMS/Celgene: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; GlaxoSmithKline: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Karyopharm: Consultancy, Honoraria. Richardson: Oncopeptides: Consultancy, Research Funding; Celgene/BMS: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Karyopharm: Consultancy, Research Funding; Protocol Intelligence: Consultancy; Janssen: Consultancy; Sanofi: Consultancy; Secura Bio: Consultancy; GlaxoSmithKline: Consultancy; Regeneron: Consultancy; AstraZeneca: Consultancy; AbbVie: Consultancy; Jazz Pharmaceuticals: Consultancy, Research Funding. Thakurta: Bristol Myers Squibb: Current Employment, Current equity holder in publicly-traded company, Patents & Royalties.


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. 378-378
Author(s):  
Jianbiao Zhou ◽  
Jonathan Adam Scolnick ◽  
Stacy Xu ◽  
Melissa Ooi ◽  
Priscella Shirley Chia ◽  
...  

Abstract Background: Approximately 20% of AML patients do not respond to induction chemotherapy (primary resistance) and 40-60% of patients develop secondary resistance, eventually leading to relapse followed by refractory disease (RR-AML). Diversified molecular mechanisms have been proposed for drug resistance and RR phenotype. However, we still cannot predict when relapse will occur, nor which patients will become resistant to therapy. Single-cell multi-omic (ScMo) profiling may provide new insights into our understanding of hematopoietic stem cell (HSC) differentiation trajectories, tumor heterogeneity and clonal evolution. Here we applied ScMo to profile bone marrow (BM) from AML patients and healthy controls. Methods: AML samples were collected at diagnosis with institutional IRB approval. Cells were stained with a panel of 62 DNA barcoded antibodies and 10x Genomics Single Cell 3' Library Kit v3 was used to generate ScMo data. After normalization, clusters were identified using Uniform Manifold Approximation and Projection (UMAP) and annotated using MapCell (Koh and Hoon, 2019). We analyzed 23,933 cells from 4 adult AML BM samples, and 39,522 cells from 2 healthy adults and 3 sorted CD34+ normal BM samples. Gene set enrichment analysis (GSEA) and Enrichr program were used to examine underlying pathways among differentially expressed genes between healthy and AML samples. Results: We identified 16 cell types between the AML and normal samples (Fig 1a) amongst 45 clusters in the UMAP projection (Fig 1b). Comparative analysis of the T cell clusters in AML samples with healthy BM cells identified an "AML T-cell signature" with over-expression of genes such as granzymes, NK/T cell markers, chemokine and cytokine, proteinase and proteinase inhibitor (Fig 2a). Among them, IL32 is known to be involved in activation-induced cell death in T cells and has immunosuppressive role, while CD8+ GZMB+ and CD8+ GZMK+ cells are considered as dysfunctional or pre-dysfunctional T cells. Indeed, Enrichr analysis showed the top rank of phenotype term - "decreased cytotoxic T cell cytolysis". We next examined whether NK cells, are similarly dysfunctional in the AML ecosystem. The "AML NK cell signature" includes Fc Fragment family, IFN-stimulated genes (ISGs), the effector protein-encoding genes and other genes when compared to normal NK cells (Fig 2b). GSEA analysis revealed "PD-1 signalling" among the top 5 ranked pathways in AML-NK cells, though no increase in PD-1 protein nor PDCD1 gene were identified in these cells. Inhibitory receptor CD160 was expressed higher in AML samples along with exhaustion (dysfunction) associated genes TIGIT, PRF1 and GZMB (Fig 2c). Enrichr analysis uncovered enrichment of "abnormal NK cell physiology and "impaired natural killer cell mediated cytotoxicity". Similarly, the "AML monocyte signature" was significantly enriched with genes in "Tumor Infiltrating Macrophages in Cancer Progression and Immune Escape" and "Myeloid Derived Suppressor Cells in Cancer Immune Escape". We also analyzed HSPC component in one pair of cytogenetically matched, untreated complete remission (CR) /RR AML pair (Fig 2d). Notably, half of the 10 genes overexpressed in RR-AML, CXCR4, LGALS1, S100A8, S100A9, SRGN (Serglycin), regulate cell-matrix interaction and play pivotal roles in leukemic cells homing bone marrow niche. The first 4 of these genes have been demonstrated as prognostic indicators of poor survival and associated with chemo-resistance and anti-apoptotic function. Furthermore, single-cell trajectory analysis of this CR/RR pair illustrated a change in differentiation pattern of HSPCs in CR-AML to monocytes in RR-AML. We are currently analyzing more AML samples to validate these findings. Conclusions: Our ScMo analysis demonstrates that the immune cells are systematically reprogrammed and functionally comprised in the AML ecosystem. Upregulation of BM niche factors could be the underlying mechanism for RR-AML. Thus, reversing the inhibited immune system is an important strategy for AML therapy and targeting leukemic cell-BM niche interaction should be considered for cases with high expression of these molecules on AML HSPCs. Note: J.Z. and J.A.S. share co-first authorship. Figure 1 Figure 1. Disclosures Scolnick: Proteona Pte Ltd: Current holder of individual stocks in a privately-held company. Xu: Proteona Pte Ltd: Current Employment. Ooi: Jansen: Honoraria; Teva Pharmaceuticals: Honoraria; GSK: Honoraria; Abbvie: Honoraria; Amgen: Honoraria. Lovci: Proteona Pte Ltd: Current Employment. Chng: Aslan: Research Funding; Takeda: Honoraria; Johnson & Johnson: Honoraria, Research Funding; BMS/Celgene: Honoraria, Research Funding; Amgen: Honoraria; Novartis: Honoraria, Research Funding; Antengene: Honoraria; Pfizer: Honoraria; Sanofi: Honoraria; AbbVie: Honoraria.


Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3953-3953
Author(s):  
Amy Guillaumet-Adkins ◽  
Praveen Anand ◽  
Huiyoung Yun ◽  
Yotam Drier ◽  
Anna Rogers ◽  
...  

Introduction: Early T-cell precursor acute lymphoblastic leukemia (ETP T-ALL) is a distinct subtype of T-ALL characterized by higher rates of relapse and induction failure. Large-scale genetic sequencing studies have identified frequently mutated oncogenes and gene fusions in ETP T-ALL, while bulk transcriptome analyses have revealed expression features resembling myeloid precursors and myeloid malignancies. However, the contributions of intra-tumoral functional heterogeneity and microenvironment to tumor biology and treatment failure remain unknown. Methods: We performed full-length single-cell RNA-sequencing of 5,077 malignant and normal immune cells from bone marrow or blood from five patients with relapsed/refractory ETP T-ALL (based on immunophenotyping, all with NOTCH1 mutations), before and after targeted therapy against NOTCH1. These patients were enrolled on a phase I trial with the γ-secretase inhibitor (GSI) BMS-906024 (NCT01363817). Expression of selected genes was validated by RT-PCR, flow cytometry and immunohistochemistry. Results: Single cell transcriptome analyses revealed a deranged developmental hierarchy characterized by co-expression of stemness programs in multiple malignant cells implying ineffectual commitment to either lymphoid or myeloid lineage. Most ETP T-ALL cells co-expressed HSC (hematopoietic stem cell), CMP (common myeloid progenitor) and CLP (common lymphoid progenitor) signatures simultaneously (Pearson correlation: CLP-CMP: R= 0.41, p < 2.2e-16; HSC-CLP: R= 0.53; p < 2.2e-16; HSC-CMP: R = 0.39, p <2.2e-16). Only a fraction of cells (less than 15%) demonstrated mutually exclusive CLP or HSC signatures. In contrast, CLP, CMP and HSC signatures were not co-expressed and always negatively correlated in normal bone marrow cells (CLP-CMP: R= -0.11, p < 2.2e-16; HSC-CLP: R= -0.38; p < 2.2e-16; HSC-CMP: R = -0.67, p <2.2e-16). Direct targeting of NOTCH1 as the driving oncogene has shown disappointing results in the clinical setting due to the rapid development of resistance. PI3K activation has been shown as a genetic mechanism of Notch resistance, however it is unclear if transcriptional rewiring can give rise to PI3K dependent cells after Notch inhibition. To address this question, we predicted the activity of signaling pathways in single cells after Notch inhibitor treatment using PROGENy. Most single cells demonstrated loss of Notch signaling. PI3K signaling activity was the most anti-correlated signaling pathway to Notch signaling (Pearson correlation: R= -0.51, p < 2.2e-16). Of note, this population preexisted at a frequency of ~30% in the untreated population, coexisting with cells with high Notch activation. Analysis of the immune microenvironment revealed an oligoclonal T-cell population in ETP T-ALL compared to normal donor T-cells. CD8+ T-cells from ETP patients expressed markers of T-cell exhaustion (PDCD1, TIGIT, LAG3, HAVCR2). Analyses of expression levels of the respective ligands on leukemic blasts and the predicted interaction with their receptors on endogenous CD8+ T-cells demonstrated the highest interaction score between HAVCR2 and its ligand LGALS9. LGALS9 was universally expressed in all leukemic cells, which was confirmed by flow cytometry staining in leukemic blasts and IHC staining in bone marrow of 8 patients with ETP T-ALL and 7 patients with T-ALL. T-ALL supernatant increased expression levels of the exhaustion markers HAVCR2,TIGIT and decreased effector marker GZMB in polyclonal activated normal donor CD8+ T-cells (RT-PCR). This effect was abrogated by neutralizing LGALS9 and could be rescued with recombinant LGALS9. Conclusion: We identified deranged developmental hierarchy characterized by co-expression of stemness programs in multiple malignant cell states and ineffectual commitment to either lymphoid or myeloid lineage in ETP T-ALL. Leukemic blasts demonstrate preexisting heterogeneity of diverse oncogenic states as evidenced by opposing PI3K and Notch activity, suggesting possible novel combination therapies. Notch inhibition abolishes the Notch high state without effecting the PI3K active state. Finally, we demonstrate a possible role for HAVCR2-LGALS9 interactions in causing CD8+ T-cell dysfunction in ETP T-ALL patients, which may provide a novel therapeutic strategy in this disease. Disclosures Silverman: Takeda: Consultancy; Servier: Consultancy, Research Funding. Lane:AbbVie: Research Funding; Stemline Therapeutics: Research Funding; N-of-One: Consultancy. DeAngelo:Glycomimetics: Research Funding; Amgen, Autolus, Celgene, Forty-seven, Incyte, Jazzs, Pfizer, Shire, Takeda: Consultancy; Blueprint: Consultancy, Research Funding; Novartis: Consultancy, Research Funding; Abbvie: Research Funding. Lohr:Celgene: Research Funding; T2 Biosystems: Honoraria.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 2102-2102 ◽  
Author(s):  
Mahesh Yadav ◽  
Cherie Green ◽  
Connie Ma ◽  
Alberto Robert ◽  
Andrew Glibicky ◽  
...  

Abstract Introduction:TIGIT (T-cell immunoglobulin and immunoreceptor tyrosine-based inhibitory motif [ITIM] domain) is an inhibitory immunoreceptor expressed by T and natural killer (NK) cells that is an important regulator of anti-tumor and anti-viral immunity. TIGIT shares its high-affinity ligand PVR (CD155) with the activating receptor CD226 (DNAM-1). We have recently shown that TIGIT blockade, together with PD-L1/PD-1 blockade, provides robust efficacy in syngeneic tumor and chronic viral infection models. Importantly, CD226 blockade abrogates the benefit of TIGIT blockade, suggesting additional benefit of TIGIT blockade through elaboration of CD226-mediated anti-tumor immunity, analogous to CTLA-4/CD28 regulation of T-cell immunity. Whether TIGIT and CD226 are expressed in patients with multiple myeloma (MM) and how TIGIT expression relates to PD-L1/PD-1 expression is unknown. Here we evaluate expression of TIGIT, CD226, PD-1 and PD-L1 in patients with MM to inform novel immunotherapy combinations. Methods:We performed multi-color flow cytometry (n = 25 patients), and multiplex qRT-PCR (n = 7) on bone marrow specimens from patients with MM to assess expression of TIGIT, CD226, PD-1, and PD-L1 on tumor and immune cells. Cells were stained with fluorescently conjugated monoclonal antibodies to label T cells (CD3, CD4, CD8), NK cells (CD56, CD3), plasma cells (CD38, CD45, CD319, CD56), inhibitory/activating receptors (PD-1, TIGIT, PD-L1, CD226), and an amine-reactive viability dye (7-AAD). Stained and fixed cells were analyzed by flow cytometry using BD FACSCanto™ and BD LSRFortessa™. Results:TIGIT, CD226 and PD-L1/PD-1 were detectable by flow cytometry in all patients with MM who were tested, with some overlapping and distinct expression patterns. TIGIT was commonly expressed by marrow-infiltrating CD8+ T cells (median, 65% of cells), CD4+ T cells (median, 12%) and NK cells. In contrast, CD226 was more commonly expressed by marrow-infiltrating CD4+ T cells (median, 74%) compared with CD8+ T cells (median, 38%). PD-1 was expressed by marrow-infiltrating CD8+ T cells (median 38%) and CD4+ T cells (median, 16%). TIGIT was co-expressed with PD-1 on CD8+ T cells (67%-97% TIGIT+ among PD-1+), although many PD-1-negative CD8+ T cells also expressed TIGIT (39%-78% of PD-1-negative). PD-L1 was also expressed by CD8+ (median, 23%) and CD4+ (median, 8%) T cells in addition to MM plasma cells (median, 95%), albeit with significantly lower intensity on T cells compared with plasma cells. The expression of TIGIT and PD-L1 mRNA was highly correlated (R2 = 0.80). Analysis of PVR expression will also be presented. Conclusions: TIGIT, CD226, PD-1, and PD-L1 were commonly expressed in MM bone marrow, but with different patterns. Among CD8+ T cells, the frequency of TIGIT+ T cells was almost twice that of PD-1+ T cells, whereas the majority of CD4+ T cells expressed CD226. TIGIT blockade may complement anti-PD-L1/PD-1 immunotherapy by activating distinct T-cell/NK-cell subsets with synergistic clinical benefit. These results provide new insight into the immune microenvironment of MM and rationale for targeting both the PD-L1/PD-1 interaction and TIGIT in MM. Disclosures Yadav: Genentech, Inc.: Employment. Green:Genentech, Inc.: Employment. Ma:Genentech, Inc.: Employment. Robert:Genentech, Inc.: Employment. Glibicky:Makro Technologies Inc.: Employment; Genentech, Inc.: Consultancy. Nakamura:Genentech, Inc.: Employment. Sumiyoshi:Genentech, Inc.: Employment. Meng:Genentech, Inc.: Employment, Equity Ownership. Chu:Genentech Inc.: Employment. Wu:Genentech: Employment. Byon:Genentech, Inc.: Employment. Woodard:Genentech, Inc.: Employment. Adamkewicz:Genentech, Inc.: Employment. Grogan:Genentech, Inc.: Employment. Venstrom:Roche-Genentech: Employment.


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