scholarly journals Combinatorial Cytokine Secretion Signature of Donor-Derived T Cells Infused with the Graft: A New Potential Biomarker of Acute Graft-Versus-Host Disease in Αβt-Cell/CD19 B-Cell Depleted Hematopoietic Stem Cell Transplant Recipients

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1684-1684
Author(s):  
Raul Montiel-Esparza ◽  
Giulia Barbarito ◽  
Samantha Peck ◽  
Magali Bazzano ◽  
Rachana Patil ◽  
...  
Keyword(s):  
T Cells ◽  
Stem Cell ◽  
T Cell ◽  
Single Cell ◽  
Board Of Directors ◽  
Cd8 T Cells ◽  
Cytokine Secretion ◽  
Advisory Committees ◽  
Hematopoietic Stem ◽  
Tnf Α

Abstract Background: Hematopoietic stem cell graft manipulation strategies, such as αβT-cell/CD19 B-cell depleted hematopoietic stem cell transplantation (αβhaplo-HSCT), address the lack of matched donors and reduce the incidence of severe acute graft-versus-host disease (aGvHD). However, grade II-IV aGvHD still occurs in 25-30% of αβhaplo-HSCT recipients . Studies aimed at understanding the pathogenesis underlying aGVHD in αβhaplo-HSCT are lacking. We hypothesized that αβT cells adoptively transferred with the HSCT (<1x10 5/Kg) have unique combinatorial cytokine secretion signatures that may predict the occurrence of aGvHD. Here we used the IsoPlexis single-cell proteomics for CD4 + and CD8 + T cells to identify those putative signatures . Methods: Six patients with hematologic malignancies receiving fully myeloablative αβhaplo-HSCT at Lucile Packard Children's Hospital, Stanford, between 08/2018 and 05/2020 were enrolled upon signing IRB approved informed consent. Three patients developed grade II-IV aGvHD, while three did not. Aliquot of the graft and of peripheral blood collected at the time of aGvHD onset or at corresponding time points for the patients who did not develop aGvHD, were analyzed. Single sorted CD4 + and CD8 + T cells were profiled by single-cell barcode chip assay from IsoPlexis system (IsoPlexis, Branford, CT) after stimulation with PMA (50 ng/mL) and Ionomycin (1mcg/mL). Following the Human Adaptive Immune Panel, cytokines from CD4 + and CD8 + single T cells were captured by fluorescence ELISA, which measured the numbers of cytokine-producing cells (secretion frequency) and numbers of cytokines produced by individual cells across five functional groups: effector, stimulatory, chemoattractive, regulatory and inflammatory (Table 1). Polyfunctionality was defined as the secretion of 2+ cytokines from each CD4 + and CD8 + T cell. The T cell polyfunctional strength Index (PSI) was defined as the percentage of polyfunctional cells, multiplied by the sum of the mean fluorescence intensity of the proteins secreted by those cells. Additional statistical analysis was performed using the Student's t test. Results: We compared the combinatorial cytokine secretion signature of individual CD4 + and CD8 + T cells isolated from grafts infused into patients, who eventually did or didn't develop aGvHD. We are comparing the signature of post-HSCT CD4 + and CD8 + T cells isolated from patients who did or did not develop aGvHD. Collectively, we considered three variables: cytokine secretion frequency, numbers of cytokines produced by individual cells and characteristics of the cytokines secreted (functional group) upon stimulation. Single-cell functional heterogeneity evaluated by t-Distributed Stochastic Neighbor Embedding (t-SNE), showed higher CD4 + and CD8 + T-cell polyfunctionality (up to 4+ cytokines) with effector and stimulatory dominant functions in the grafts of patients who developed aGvHD, compared to those who did not develop aGvHD (Fig1). The average PSI (driven by Granzyme B, TNF-α, IFN-γ, MIP-1β, IL2, and IL-8) was found to be higher in both CD4 + and CD8 + T cells from the grafts of patients who developed aGvHD (Fig 2). Combinatorial cytokine secretion analysis showed that T cells from grafts of patients who did not develop aGvHD had unique signatures with CD4 + T cells having the predominant cytokine secretion signature of IL2 and TNF-α, and CD8 + T cells having three predominant cytokine secretion signatures: IL2, IL8, TNF-α; MIP-1β, IL8; and MIP-1β, IFN-γ (Fig3). Conclusions: Preliminary data from αβhaplo-HSCT pediatric recipients obtained using IsoPlexis single-cell functional proteomics for CD4 + and CD8 + T cells showed that an increased donor T-cell polyfunctionality with a Th1 dominant functional phenotype may be predictive of an increased risk of aGvHD, while CD4 + and CD8 + T cells infused into patients who didn't develop aGvHD, had combinations with limited cytokine secretion signatures. Ongoing analysis suggest that polyfunctional CD8 + T cells present in the graft of patients who developed aGvHD, are present at the time of aGvHD initiation, while the polyfunctional CD4 + T cell are not present at the onset of aGvHD. Correlation with ongoing studies on circulating cytokines and clonotypic analysis of αβT cells infused with the graft will be crucial to elucidate the cross talking between the donor's immune system and recipient's inflammatory milieu. Figure 1 Figure 1. Disclosures Parkman: Jasper Biotech: Consultancy. Bertaina: Cellevolve Bio: Membership on an entity's Board of Directors or advisory committees; Neovii: Membership on an entity's Board of Directors or advisory committees; AdicetBio: Membership on an entity's Board of Directors or advisory committees.

scholarly journals The Innate Immune Sensor Sting Promotes Donor CD8+ T Cell Activation and Recipient APC Death Early after Preclinical Allogeneic Hematopoietic Stem Cell Transplantation

Blood ◽  
2019 ◽  
Vol 134 (Supplement_1) ◽  
pp. 3202-3202
Author(s):  
Cameron S. Bader ◽  
Henry Barreras ◽  
Casey O. Lightbourn ◽  
Sabrina N. Copsel ◽  
Dietlinde Wolf ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
Board Of Directors ◽  
T Cell Activation ◽  
Cd8 T Cells ◽  
Research Funding ◽  
Cell Activation ◽  
Cd8 T Cell ◽  
Advisory Committees ◽  
Hematopoietic Stem

Graft-versus-host disease (GVHD) remains a significant cause of morbidity and mortality in patients receiving allogeneic hematopoietic stem cell transplants (aHSCTs). Pre-HSCT conditioning typically consists of irradiation and drug administration resulting in the death of rapidly dividing cells and release of endogenous danger signals. These molecules drive the activation of antigen presenting cells (APCs) and the differentiation of allo-reactive donor T cells, leading to damage of particular host tissues characteristic of GVHD. Cell death following conditioning has promoted the hypothesis that sensors of cytoplasmic DNA damage in GVHD target tissues contribute to pro-inflammatory cytokine production. We identified a role for Stimulator of Interferon Genes (STING), an innate immune sensor, in GVHD using pre-clinical MHC-matched unrelated donor (MUD) aHSCT models. Here we show that STING rapidly promotes donor CD8+ T cell activation and recipient APC death early after aHSCT. To assess STING involvement immediately post-HSCT, cytokine mRNA expression was examined 48 hrs after transplant of MUD C3H.SW bone marrow (BM) + T cells into irradiated B6 wildtype (WT) or STING-/- recipients. Colon tissue from STING-/- recipients had >2x reduction in IFNβ, TNFα and IL-6 mRNA vs WT. MUD STING-/- HSCT recipients also experienced decreased weight loss, GVHD scores and skin pathology 6 wks post-HSCT vs WT. Double chimerism studies showed that the absence of STING in non-hematopoietic cells was responsible for GVHD amelioration. Conversely, a single dose of the highly specific STING agonist DMXAA given in vivo increased IFNβ, TNFα and IL-6 mRNA expression in WT, but not STING-/-, colon tissue 48 hrs after transplant and increased GVHD scores and lethality post-HSCT. Post-transplant cytoxan treatment abolished the ability of DMXAA to augment GVHD, supporting the notion that STING signaling increases donor T cell activation during aHSCT. To evaluate the potential impact of STING in the clinical setting, we transplanted C3H.SW BM + T cells into mice homozygous for a murine homologue of a human allele associated with diminished STING activity (STINGHAQ/HAQ) and found that these mice also exhibited diminished GVHD. Interestingly, our findings that STING deficiency ameliorates GVHD in MUD aHSCT contrasts to reported observations that STING deficiency can exacerbate GVHD after MHC-mismatched (MMUD) aHSCT (Fischer J, et al, Sci. Transl. Med. 2017). Since CD4+ and CD8+ T cells are central in MMUD and MUD GVHD, respectively, we hypothesized that STING's effect on the predominant T cell subset in each model may explain these seemingly paradoxical results in STING-/- vs WT recipients. Therefore, we transplanted MMUD BALB/c BM + CD8+ T cells into B6-WT and STING-/- mice and found that - in contrast to MMUD recipients of combined CD4+ and CD8+ T cells - STING-/- recipients developed lower GVHD clinical scores, reduced skin pathology and had lower frequencies of activated T cells 8 wks post-HSCT vs WT, supporting a role for STING in the promotion of CD8+ T cell-mediated GVHD. Next, we investigated if recipient APCs played a role in STING's enhancement of CD8+ T cell-mediatedGVHD. We found that STING-/- mice had greater frequencies and numbers of recipient splenic CD11b+CD11c+ APCs 1 day after MMUD B6 into BALB/c aHSCT (Fig. A). BALB/c-STING-/- APCs also expressed reduced MHC class I protein levels (Fig. B). Moreover, STING-/- recipient spleens contained lower numbers of donor CD8+ T cells producing IFNγ and TNFα (Fig. C). These data support the hypothesis that STING contributes to early activation of donor CD8+ T cells and elimination of recipient APCs. Next, to identify if the loss of host MHC II+ APCs affected subsequent donor CD4+ T cell activation, B6-Nur77GFP transgenic donor T cells were used to explicitly monitor T cell receptor signaling. Consistent with increased numbers of host MHC II+ APCs in the spleens of STING-/- recipients 1 day post-aHSCT, we found greater frequencies and numbers of donor Nur77GFP CD4+ T cells expressing GFP, CD69 and IFNγ in STING-/- spleens 6 days after transplant (Fig. D). In summary, our studies demonstrate that STING plays an important role in regulating aHSCT and provide one potential mechanism by which STING could promote CD8+ T cell-mediated GVHD yet diminish CD4+-mediated GVHD. Overall, our studies suggest this pathway can provide a target for new therapeutic strategies to ameliorate GVHD. Disclosures Blazar: BlueRock Therapeutics: Membership on an entity's Board of Directors or advisory committees; Childrens' Cancer Research Fund: Research Funding; KidsFirst Fund: Research Funding; Tmunity: Other: Co-Founder; Kamon Pharmaceuticals, Inc: Membership on an entity's Board of Directors or advisory committees; Regeneron Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Five Prime Therapeutics Inc: Co-Founder, Membership on an entity's Board of Directors or advisory committees; Magenta Therapeutics and BlueRock Therapeuetics: Membership on an entity's Board of Directors or advisory committees; Fate Therapeutics, Inc.: Research Funding; RXi Pharmaceuticals: Research Funding; Alpine Immune Sciences, Inc.: Research Funding; Abbvie Inc: Research Funding; Leukemia and Lymphoma Society: Research Funding. Levy:Heat Biologics: Consultancy, Equity Ownership, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pelican Therapeutics: Consultancy, Research Funding.

scholarly journals Nivolumab for Relapsed or Residual Haematological Malignancies after Allogeneic Haematopoietic Stem Cell Transplantation (NIVALLO)

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4633-4633 ◽  
Author(s):  
Eric Wong ◽  
Emily Dawson ◽  
Joanne Davis ◽  
Rachel Koldej ◽  
Mandy Ludford-Menting ◽  
...  
Keyword(s):  
Clinical Trial ◽  
T Cells ◽  
Stem Cell ◽  
T Cell ◽  
Board Of Directors ◽  
Cd8 T Cells ◽  
Acute Gvhd ◽  
Haematological Malignancies ◽  
Advisory Committees ◽  
Safety And Efficacy

Abstract Aim: To evaluate the safety and efficacy of nivolumab for the treatment of relapsed or residual haematological malignancies after allogeneic stem cell transplantation (alloSCT). Background: Relapse of haematological malignancies following alloSCT is a major cause of post-transplant mortality. Interaction between programmed cell death protein-1 (PD-1) and its ligand (PD-L1) inhibits T-cell alloreactivity and contributes to immune escape. Nivolumab inhibits PD-1 signalling and augments T-cell cytotoxicity. The safety and efficacy of nivolumab post-alloSCT has not been evaluated in a clinical trial. Method: In this investigator-initiated phase IIa clinical trial, patients with relapsed or persistent haematological malignancies following alloSCT receive nivolumab 3mg/kg for up to 48 weeks. Patients with current graft-versus-host disease (GVHD) or prior grade ≥2 acute GVHD or chronic GVHD are excluded. Results: Six participants have received at least one dose of nivolumab at this interim assessment. Primary haematological malignancies relapsing post-alloSCT included Hodgkin lymphoma (HL, 2 patients), acute myeloid leukaemia (AML, 2), transformed chronic lymphocytic leukaemia (tCLL, 1) and mantle cell lymphoma (MCL, 1). The median time from alloSCT to first dose of nivolumab was 25.5 months. Two participants developed grade 3 acute GVHD at 6 days and 13 days following the first dose of nivolumab. Complete or partial responses were observed in 3 participants (50%). Two participants with HL achieved complete responses. One participant with MCL had a complete nodal response with small volume persistent bone marrow disease. One participant with monosomal karyotype AML achieved initial blast reduction (23% to 13%) however subsequently developed progressive AML. T-cell phenotyping at first AML relapse (prior to nivolumab) demonstrated a high proportion of CD8+ T cells that expressed PD-1 and T-cell immunoglobulin and mucin domain 3 (TIM-3) consistent with T-cell exhaustion. Following treatment with nivolumab there was an increase in TNFα production by CD8+ T-cells at day 7 post nivolumab, demonstrating augmentation of T-cell activity. Despite continued nivolumab treatment TNFα production subsequently declined and correlated with loss of clinical response. TIM-3 expression was further upregulated at post-nivolumab progression suggesting this inhibitory checkpoint receptor may have contributed to nivolumab resistance. Conclusion: Nivolumab treatment after alloSCT results in potent immune stimulation with a high rate of clinical responses, albeit with a risk of GVHD. Acquired resistance to nivolumab may develop via upregulation of alternative inhibitory checkpoints. Disclosures Szer: Alexion Pharmaceuticals, Inc.: Consultancy, Honoraria, Other: Travel Support , Research Funding. Grigg:BMS: Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Gilead: Membership on an entity's Board of Directors or advisory committees.

scholarly journals Single-Cell Analysis of the Classical Hodgkin Lymphoma Immune Environment Reveals a Clonally-Expanded CD8+ T Cell Population with a Cytotoxic Phenotype

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 40-41
Author(s):  
Jovian Yu ◽  
Xiufen Chen ◽  
James Godfrey ◽  
Girish Venkataraman ◽  
Sonali M. Smith ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
Single Cell ◽  
Board Of Directors ◽  
Cd8 T Cells ◽  
Research Funding ◽  
Immune Cell ◽  
Clonal Expansion ◽  
Advisory Committees ◽  
Cell Clusters

Introduction: Classical Hodgkin lymphoma (cHL) is characterized by a robust and complex immune cell infiltrate and the rare presence of malignant Hodgkin-Reed-Sternberg (HRS) cells. At the genetic level, HRS cells recurrently acquire alterations that lead to defective antigen presentation (β2 microglobulin mutations) and mediate T cell dysfunction (PD-L1 copy gains/amplifications) in order to subvert host immune surveillance. The clinical relevance of PD-L1 protein over-expression in cHL is clear, as response rates to PD-1 blockade therapy are extremely high among patients with relapsed/refractory (r/r) disease. Despite its remarkable efficacy, the cells that mediate response to anti-PD-1 therapy in cHL remain undefined. Recent analyses have highlighted a possible role for CD4+ T cells in mediating the clinical activity of anti-PD-1 therapy in cHL. CD4+ T cells significantly outnumber CD8+ T cells in cHL lesions and are more frequently juxtaposed to HRS cells in situ. Furthermore, HLA class II expression on HRS cells predicted higher complete response rates to PD-1 blockade therapy in r/r cHL patients. However, a candidate T cell population capable of specific reactivity to antigens expressed by HRS cells has yet to be identified. This information is critical as such T cells might be functionally reinvigorated to mediate HRS cell elimination following PD-1 blockade therapy. In order to address this key knowledge gap, we analyzed data at single cell (sc) resolution using paired RNA and T cell receptor (TCR) sequencing in 9 diagnostic cHL and 5 reactive lymph node (RLN) specimens. Methods: Sequencing was performed using the 10x Genomics Chromium Single Cell 5' Gene Expression and V(D)J workflows. B-cell depletion of each sample was achieved using CD19 microbeads and negative selection to enrich T cell populations. Reads were analyzed and aligned with CellRanger (v3.1.0) and Seurat (v3.2.0) was used to conduct clustering by a shared nearest neighbor (SNN) graph on scRNA data. TCR sequencing data was integrated using scRepertoire (v1.0.0). Results: A detailed map of the immune cell states in cHL was created using scRNA-seq (10X) data on 79,085 cells from 9 cHL (52,602 cells) and 5 RLN samples (26,484 cells) expressing a total of 21,421 genes (mean 5649 cells/sample; mean 2849 mRNA reads/cell). Dimensionality reduction and unsupervised graph-based clustering revealed 21 distinct cell type and activation state clusters, including T cells, NK cells, macrophages, and dendritic cells (Fig 1A-B). A cluster identifying HRS cells was not observed, consistent with a recently published report. Ten T cell clusters were identified (47,573 cells), including naive- and memory-like T cells, effector/cytotoxic CD8+ T cells, regulatory T cells, and T follicular helper cells. Unexpectedly, a putative exhausted T cell cluster was not clearly observed. The relative contributions of cHL and RLNs cases to these clusters are shown in Fig 1C. Paired TCR sequencing was available for 23,943 cells. Overall TCR diversity was lower among cHL samples compared to RLN specimens (Fig 1D). In cHL samples, modest clonal expansion within regulatory T cell and memory CD4+ T cell clusters was observed, but the most striking clonal expansion occurred among cells assigned to effector/cytotoxic CD8+ T cell clusters - a finding not observed in most RLN specimens (Fig 1E). Clonally-expanded effector/cytotoxic CD8+ T cells displayed high expression of granzymes (GZMA, GZMH, GZMK), cytokines (TNF, IFNG) and chemokines (CCL4/CCL5), and modest expression of exhaustion markers (PDCD1, ENTPD1, HAVCR2, ITGAE), contrasting with data from single-cell analyses of solid tumors. Clonal expansion of effector/cytotoxic CD8+ T cells was particularly robust in EBV-positive cHLs, likely due to recognition of viral-derived epitopes displayed on HRS cells (Fig 1F). Phenotypic and functional validation of key immune cell clusters in cHL specimens using spectral cytometry is underway and will be reported at the meeting. Conclusions: For the first time, our data have unveiled the nature of the T cell repertoire in cHL at single cell resolution. Our results reveal a recurrent pattern of clonal expansion within effector CD8+ cells, which may be the HRS antigen-specific T cells that mediate response to PD-1 blockade. This hypothesis requires confirmation through similar analyses of pre- and on-treatment biopsies of cHL patients receiving anti-PD-1 therapy. Disclosures Godfrey: Gilead: Research Funding; Merck: Research Funding; Verastem: Research Funding. Venkataraman:EUSA Pharma: Speakers Bureau. Smith:Janssen: Consultancy; BMS: Consultancy; TG Therapeutics: Consultancy, Research Funding; Genentech/Roche: Consultancy, Other: Support of parent study and funding of editorial support, Research Funding; Karyopharm: Consultancy, Research Funding; FortySeven: Research Funding; Pharmacyclics: Research Funding; Acerta: Research Funding; Celgene: Consultancy, Research Funding. Kline:Kite/Gilead: Speakers Bureau; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees; Merck: Research Funding; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Verastem: Membership on an entity's Board of Directors or advisory committees, Research Funding.

scholarly journals Lymphocyte and Hematopoietic Stem and Progenitor Cell (HSPC) Subsets Mobilized By Either Plerixafor or G-GCSF: A Retrospective Comparison of Grafts Harvested in Healthy Allogeneic Stem Cell Donors

Blood ◽  
2014 ◽  
Vol 124 (21) ◽  
pp. 2451-2451 ◽  
Author(s):  
Georgine E. De Greef ◽  
Eric Braakman ◽  
Wendimagegn G Alemayehu ◽  
Larissa De Graaf ◽  
Peter van Geel ◽  
...  
Keyword(s):  
T Cells ◽  
Stem Cell ◽  
T Cell ◽  
The Netherlands ◽  
Board Of Directors ◽  
T Cell Subsets ◽  
Advisory Committees ◽  
Hematopoietic Stem ◽  
Healthy Donors ◽  
Cd34 Cells

Abstract Plerixafor (PXF) is a bicyclam molecule, which acts as a reversible inhibitor of SDF-1 binding to CXCR4. A single injection results in immediate release of CD34+ cells into the peripheral blood. Sofar, PXF has been used for stem cell mobilization only in a limited number of allogeneic donors (Devine et al. Blood.2008;112(4):990) The currently ongoing randomized phase 2 Hovon -107 study of the Dutch hemato-oncology group HOVON (www.hovon.nl) aims to compare the feasibility of intravenous (iv) versus subcutaneous (sc) PXF (Genzyme Europe BV) 320 µg/kg subcutaneously (sc) 9 hours before the planned stem cell collection or intravenously (iv) 4 hours before stem cell collection in healthy adult matched sibling donors. Concurrently, all stem cell products are evaluated for the total number of CD45+; CD34+ cells and other hematopoietic stem cell subsets, including more primitive progenitor cells (MPP/CMP: CD34+/CD45RA-/CD90- and HSC :CD34+/CD45RA-/CD90+). Furthermore, the frequency and absolute numbers of CD3+, CD4+; CD8+;CD19+; CD 3-CD16/CD56+ (NK) cells and several T cell subsets, including Foxp3+, Th1, Th2 and Th17 cells, are assessed. Thereby, the HOVON-107 study enabled us to retrospectively compare lymphocyte and CD34+ HSPC subsets in grafts harvested in healthy donors (n=27) following PXF versus a similar evaluation of those subsets in grafts (n=10) harvested following G-CSF(Neupogen) (2 x 500 ug/kg (sc) for 5 days). Data are presented with respect to the composition of stemcell harvests, obtained after a single gift of PXF (13 iv and 14 sc) followed by 15 liters leucopheresis. For comparison of the stem cell products between the two groups the Mann-Whitney U test was applied. Results: Both groups are comparable with respect to age/sex. Mobilization with PFX resulted in similar WBC numbers as compared to G-CSF mobilization. The total number of CD34+ cells was significantly lower after PFX mobilization: median 200 x106; (range 40-560) vs 400 x106 (360-840) after G-CSF (p=0.000). However after PFX mobilization, the CD34+ cells contained a higher frequency of immature HSC and a lower frequency of MPP as compared to G-CSF mobilized grafts. The lower number of CD34+ HSPC and the higher frequency of HSC within CD34+ HSPC resulted in similar numbers of immature HSC in PXF mobilized grafts (PFX 50;1-218 x106 for G-CSF 90;11-200 x106 p=0.411).Although it is known that Plerixafor can mobilize a higher number of T-cells no data are available about the frequencies of distinct T cell subsets in the grafts. PFX mobilization resulted in higher numbers of CD3+T cells and CD19+B cells. The number of CD3-CD16/56+ NK-cells did not differ between both groups. Within the CD3+ T cell population, the CD4/CD8 ratio did not differ between both groups of mobilized grafts. While absolute numbers of T-cells were significantly increased, the frequencies of IFN-gamma+ Th1 cells, IL-4+ Th2 cells; IL-17+ Th17 cells and Foxp3+ regulatory T cells were not significantly different between both groups, resulting in increased Treg and Th1 after PFX (see Table below) In conclusion, allogeneic stem cell grafts harvested in healthy donors following a single dose of Plerixafor contain higher numbers of primitive progenitor cells, and higher numbers of both effector and regulatory T-cells as compared to grafts harvested following G-CSF. The impact of altered subset numbers on clinical endpoints including graft versus host, engraftment, and overall outcome remain to be established. Abstract 2451. TableCD3 (x 109)CD3/4 (x 109)CD3/8 (x 109)CD19 (x 109)CD3-CD16/56+ (x 109)Treg (x 109)Th1 (x 109)Th2 (x 109)Th17 (x 109)PFXMedian Range22.7 9.8-56,7 13.2 6.3-30.56.6 2.8-22.15.7 0.6-18.11.40.5-4.30.7 0.3-2.52.8 0.3-9.30.2 0.0-1.80.20.0-6.8G-CSFMedian Range12.8 7.6-217.5 4.3-15.43.8 2.0-6.03.1 1.9-4.51.30.5-2.90.4 0.2-1.20.9 0.4-2.70.20.1-0.40.1 0.0-0.5P-value0.0010.0050.0030.0020.7320.0220.0160.2890.129 Disclosures De Greef: Sanofi The Netherlands: Membership on an entity's Board of Directors or advisory committees. Petersen:Sanofi the Netherlands: Membership on an entity's Board of Directors or advisory committees. Visser:Sanofi the Netherlands: Membership on an entity's Board of Directors or advisory committees. Niederwieser:Novartis, Gentium, Amgen: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau.

scholarly journals Evaluation of T Cell and Monocyte Immune Subsets in the Stem Cell Product of Patients Developing Engraftment Syndrome Following Autologous Stem Cell Transplantation for Multiple Myeloma and Lymphoma

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 4604-4604
Author(s):  
Dante B. Descalzi-Montoya ◽  
Zheng Yang ◽  
Kira Goldgirsh ◽  
Rena Feinman ◽  
David S Siegel ◽  
...  
Keyword(s):  
T Cells ◽  
Stem Cell ◽  
T Cell ◽  
Board Of Directors ◽  
T Cell Activation ◽  
Cd8 T Cells ◽  
Research Funding ◽  
Cell Activation ◽  
Advisory Committees ◽  
Classical Monocytes

Abstract BACKGROUND: High-dose chemotherapy followed by autologous stem cell transplantation (ASCT) is now standard of care for newly diagnosed patients with multiple myeloma (MM) and is used for some forms of non-Hodgkin lymphoma, providing improved outcomes. ASCT has been associated with a high incidence of engraftment syndrome (ES), which clinically presents as skin rashes, diarrhea, non-infectious fevers, and capillary leak syndrome in the peri-engraftment period. ES can be a severe and potentially lethal complication in patients who do not respond to corticosteroid therapy. RATIONALE: Prior to stem cell collection, MM and lymphoma patients are typically exposed to chemotherapy and immunomodulatory agents in order to reduce the cancer cell burden and other drugs to mobilize stem cells. It has been hypothesized that these agents may be involved with ES development in that they can disrupt the balance of immune regulatory and effector cell subsets. OBJECTIVE: To analyze T cell activation/memory and Treg cell compartments as well as classical, intermediate, and non-classical monocytes in the autologous apheresis product of MM and lymphoma patients undergoing ASCT. STUDY DESIGN: Samples were collected under IRB approval from 28 patients undergoing ASCT for the treatment of MM (n=21) or lymphoma (n=7) at the time of peripheral blood stem cell collection (the apheresis product); Peripheral blood mononuclear cells (PBMC) were isolated by sucrose gradient centrifugation and frozen until needed for phenotyping by multi-parametric flow cytometry. MM patients were conditioned for ASCT with melphalan alone (n=14) or in combination with bortezomib (n=7); lymphoma patients received conditioning with BEAM (carmustine, etoposide, cytarabine, and melphalan) chemotherapy. RESULTS: Of the 28 patients undergoing ASCT, 10 (35.7%) developed ES within the first four weeks post-transplantation. We analyzed by flow cytometric phenotyping the following immune cell subsets: overall CD4/CD8 T cells, CD4/CD8 naïve and memory cells, HLA-DR expression on memory T Cells, memory CD4 Tregs, as well as overall classical, intermediate, and non-classical monocytes. The absolute numbers (PBMC conc. (cell/ml of blood) x (% of cells in PBMC/100) and percentage population (# of events in population gate/# of total PBMC events x 100) data were transformed with log and square root functions, respectively. All data were tested for normality with a Shapiro-Wilks online test and p-values were obtained by performing an unpaired Student T-test. From our analysis of the apheresis product, the main cell compartments that were significantly increased in the ES+ group were the % CD8+ T cells [5.41 mean ± 0.51 s.e. vs. 3.34 ± 0.36 (ES-), p=0.003] and naïve CD8+ T cells [3.76 ± 0.56 vs. 1.61 ± 0.18 (ES-), p<0.001; In addition, although the memory CD8 T cell subset was not significantly increased in the apheresis product, the % of those memory CD8 T cells expressing HLA-DR significantly increased [2.0 ± 0.22 (ES+) vs. 1.2 ± 0.15 (ES-); p<0.01], suggesting an increase in CD8 T cell activation in the ES+ group. No major differences were observed in the CD4 memory Treg compartment or CD25 expression on CD4 T cells. In the monocyte compartment, the main subset that was significantly increased was the non-classical CD16+CD14low cells in the ES+ group [0.40 ± 0.08 vs. 0.25 ± 0.03 (ES-), p=0.02]. In addition, the % of CD25+ and CD163+ non-classical and intermediate monocytes were favorably increased in the ES+ group (non-classical monocytes, CD25+ [0.14 ± 0.03 vs. 0.07 ± 0.02 (ES-), p=0.03] and CD163+ [0.33 ± 0.06 vs. 0.18 ± 0.02 (ES-), p=0.03]; and for intermediate monocytes, CD25+ [0.44 ± 0.1 vs. 0.22 ± 0.04 (ES-), p=0.02] and CD163+ (p=0.02). No major differences were observed between ES+ and ES- groups for CD64 and PDL-1 expression. CONCLUSIONS: The development of ES correlated with the observation of a significant increase of naïve and activated CD8 T cells in the autologous apheresis product. In contrast, no significant differences were found between the ES+ and ES- groups in the CD4 T cell or memory Treg subsets, suggesting that they do not contribute to the etiology of the syndrome. Moreover, an increased presence of non-classical monocytes with higher expression of both CD163 and CD25 was found, suggesting increased potential for both M2 and M1 activity. Further investigation is needed to determine the implications of these findings for the development of ES. Disclosures Siegel: Merck: Consultancy, Honoraria, Speakers Bureau; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Karyopharm: Consultancy, Honoraria; Novartis: Honoraria, Speakers Bureau; Janssen: Consultancy, Honoraria, Speakers Bureau; Takeda: Consultancy, Honoraria, Speakers Bureau; BMS: Consultancy, Honoraria, Speakers Bureau; Amgen: Consultancy, Honoraria, Speakers Bureau. Biran:BMS: Research Funding; Merck: Research Funding; Amgen: Consultancy, Speakers Bureau; Takeda: Consultancy, Speakers Bureau; Celgene: Consultancy, Honoraria, Speakers Bureau. Feldman:Johnson and Johnson: Speakers Bureau; KITE: Speakers Bureau; Seattle Genetics: Research Funding, Speakers Bureau; Pharmacyclics: Speakers Bureau; Janssen: Speakers Bureau; Portola: Research Funding; Celgene: Speakers Bureau. Skarbnik:Gilead Sciences: Honoraria, Speakers Bureau; Abbvie: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Seattle Genetics: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Pharmacyclics: Honoraria, Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Genentech: Honoraria, Speakers Bureau; Jazz Pharmaceuticals: Honoraria, Speakers Bureau; Novartis: Honoraria, Speakers Bureau.

scholarly journals A Single-Cell Transcriptional Analysis of Tumour Cells and the Immune Microenvironment during Disease Evolution in a Transgenic Mouse Model of Myeloma

Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 56-56 ◽  
Author(s):  
Danielle C Croucher ◽  
Marta Chesi ◽  
Zhihua Li ◽  
Victoria Marie Garbitt ◽  
Meaghen E Sharik ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
Single Cell ◽  
Board Of Directors ◽  
Cd8 T Cells ◽  
Immune Checkpoint ◽  
Immune Cell ◽  
Advisory Committees ◽  
Disease Evolution ◽  
Cell Exhaustion

Abstract Introduction: Multiple Myeloma (MM) is consistently preceded by pre-malignant asymptomatic monoclonal gammopathies (AMG). To date, our understanding of the pathogenesis of progression to MM remains incomplete. Genetic analyses of AMG cells compared to MM-derived plasma cells (PCs) have found few differences, suggesting that progression may be mediated in part by tumour-extrinsic mechanisms. To comprehensively examine the cellular and molecular complexities of MM pathogenesis, we performed an unbiased single cell RNA-sequencing (scRNA-seq) analysis of tumour cells as well as immune cells from the tumour microenvironment (TME) derived from transgenic mice transitioning from AMG to MM. Methods: We employed the Vk*MYC immune-competent mouse model of MM (C57BL/6/KaLwRij), which is a clinically and biologically faithful model of untreated disease that similarly progresses from AMG to MM with age. We established an age-based cohort of Vk*MYC mice to recapitulate a range of MM disease stages, generated single-cell suspensions from flushed bone marrow and subjected these cells to scRNA-seq profiling (10x Genomics). Results: Across 12 samples profiled to date, our scRNA-seq dataset contains 82,853 high-quality cells, expressing 17,922 genes. We employed dimensionality reduction and unsupervised graph-based clustering to visualize and group transcriptionally-similar cell populations, which revealed 42 clusters. Expression of known marker genes and computed correlation scores with bulk gene expression reference datasets enabled annotation of cell types, revealing both malignant cells and non-malignant immune cell populations. We first focused on single cell T/NK profiles in our data given the emerging utility of immune checkpoint inhibitors that target these populations. Although we did not observe numerical differences in the proportion of CD8+ T cells across disease stages, analysis of immune checkpoint receptor genes revealed increased expression of Pdcd1 (PD-1) and Lag3 in CD8+ T cells from mice with disease. Co-expression of LAG3 and PD-1 proteins was also confirmed using a Vk*MYC transplantable model, with a positive correlation between disease burden (%CD138+/B220- cells) and %PD1+LAG3+ CD8+ T cells by flow cytometry. Consistent with reports of PD-1 and LAG3 co-expression on non-functional exhausted T cells, CD8+ T cells from diseased mice demonstrated elevated T cell exhaustion scores in our scRNA-seq dataset. These observations suggest that T cell exhaustion may be mediated by multiple immune checkpoint receptors during disease evolution. Although combinatorial treatment with PD-1 and LAG3 antibodies failed to induce tumour regression in mice with established disease, the addition of cyclophosphamide (Cy) to these antibodies resulted in marked improvement in survival of the mice compared to Cy alone, presumably by promoting immunogenic cell death. Studies exploring the combination of LAG3 and PD-1 antibodies as a strategy to inhibit transition from AMG to MM in the Vk*MYC mice are ongoing and will be reported. We also performed subclustering analysis of 5,228 Sdc1+ (CD138) PCs in our scRNA-seq dataset revealing 11 distinct clusters, with evidence of inter- and intra-tumoural heterogeneity across all Vk*MYC mice. Differential gene expression analysis revealed a non-malignant PC (nPC) cluster as supported by lower Myc transgene and Ccnd2 expression. Moreover, this cluster was predominantly comprised of cells from age-matched control mice or mice with earlier disease. Single-cell chromosomal copy number analysis revealed loss of Chr5 in the majority of tumour cells from MM mice, but not in the nPC cluster. Loss of Chr5 was observed in tumor subclones from all AMG mice suggesting that it is an early and potentially unifying event in Vk*MYC mice during disease progression. Further, the data support the establishment of intratumoural heterogeneity early in disease evolution. Conclusions: Our approach of using scRNA-seq to characterize the pathogenesis of disease evolution in MM has enabled simultaneous measurement of intratumoural heterogeneity and immune cell phenotypes in the TME. In turn, this has provided insights into mechanisms that may contribute to transition from AMG to MM, including induction of T cell exhaustion and loss of mouse Chr5. Ongoing and future work aims to evaluate whether these mechanisms can be exploited therapeutically in pre-malignant AMG. Disclosures Sebag: Amgen Canada: Membership on an entity's Board of Directors or advisory committees; Janssen Inc.: Membership on an entity's Board of Directors or advisory committees; Celgene Canada: Membership on an entity's Board of Directors or advisory committees; Takeda Canada: Membership on an entity's Board of Directors or advisory committees. Pugh:Prosigna: Honoraria; N/A: Patents & Royalties: Hybrid-capture sequencing for determining immune cell clonality; N/A: Patents & Royalties: Combined hybrid-capture DNA sequencing for disease detection; Boehringer Ingelheim: Research Funding; Chrysalis Biomedical Advisors: Honoraria; Merck: Honoraria; DynaCare: Consultancy.

scholarly journals Mitochondrial DNA Mutations Distinguish Individual Donor- and Recipient-Derived Immune Cells Following Matched Unrelated Allogeneic Stem Cell Transplantation

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 1689-1689
Author(s):  
Livius Penter ◽  
Jackson Southard ◽  
Shuqiang Li ◽  
Caleb A. Lareau ◽  
Leif S. Ludwig ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
Single Cell ◽  
Board Of Directors ◽  
Cd8 T Cells ◽  
Research Funding ◽  
Mixed Chimerism ◽  
Advisory Committees ◽  
Post Transplant ◽  
Mtdna Mutations

Abstract Reconstitution of donor hematopoiesis after allogeneic hematopoietic stem cell transplantation (HSCT) forms the basis for effective graft-versus-leukemia responses, but mixed chimerism is not an infrequent outcome. How the donor and host hematopoietic system interact under conditions of mixed chimerism remains incompletely understood. Multi-modal single cell sequencing platforms are increasingly available and provide information regarding cell identities and interactions at high resolution. However, the analysis of post-transplant immune reconstitution requires consistent distinguishing of donor- and recipient-derived cells, which for sparse single cell sequencing data until now has remained a challenge. Recently, mitochondrial DNA (mtDNA) mutations have been recognized for their potential as personal genetic barcodes that can be detected with mitochondrial single cell assay for transposase-accessible chromatin with sequencing (mtscATAC-seq). We hypothesized that individual-specific mtDNA mutations could provide a sensitive and robust approach for distinguishing donor- from recipient-derived cells, and therefore tested this approach on bone marrow (BM) samples from patients with relapsed acute myeloid leukemia (AML) post-HSCT. We employed ATAC with select cell surface antigen profiling by sequencing (ASAP-seq), which enables the detection of mtDNA mutations within distinct surface marker-defined cell populations alongside chromatin accessibility. We selected serial samples collected from the ETCTN 10026 study, which tested combined decitabine (days 1-5, every 4 weeks, start cycle 0) and ipilimumab (day 1, every 4 weeks, start cycle 1) in relapsed AML post-HSCT. We focused on 13 samples (study entry, on treatment and disease progression) from 3 patients: AML1012 (HSCT from a matched related donor [MRD]), and AML1010 and AML1026 (matched unrelated donor [MUD]-HSCT). In total, we obtained 33,943 ASAP-seq profiles, including 3,283 single T cells. While clustering using single cell chromatin profiles alone only allowed identification of either CD4 + or CD8 + T cells, integration with surface marker expression enabled more detailed annotations of 8 T cell subpopulations and NK cells. Further, phenotypically distinct subpopulations such as CD57 + CD4 + and CD8 + T cells shared highly similar chromatin profiles, and 11.1% of CD4 + and 33.7% of CD8 + T cells would have been mislabeled based on clustering of chromatin profiles alone. Thus, ASAP-seq identified T cell subsets with markedly improved accuracy and resolution than scATAC-seq alone. Upon evaluation of mtDNA mutations to discriminate donor- and recipient-derived single T cells, we found that this was unreliable for MRD-HSCT (AML1012), but highly robust in the setting of MUD-HSCT (AML1010, AML1026), consistent with maternal inheritance of mitochondrial genomes. For the latter two patients, we identified 48 donor- and 26 recipient-specific mtDNA mutations, all with high heteroplasmy (range 82 - 99%). Presence of donor- and recipient-derived mtDNA mutations was mutually exclusive, and recipient-specific mtDNA mutations were also detectable in AML cells. Clinical bulk and mtDNA mutation-based single T cell chimerisms were highly correlated (r = 0.97). AML1010 had sustained complete T cell chimerism (&gt;97%) during study treatment. In AML1026, the mtDNA mutation-based T cell chimerism rose from 55% to 71% after 1 cycle of decitabine and then remained stable until disease progression 3 months later. This was associated with increased percentage of donor-derived CD4 + T cells (45% [study entry] vs. 71% [after 1 cycle of decitabine], p &lt; 0.01), while donor-derived CD8 + T cells remained unchanged at 76%. Across all studied timepoints in AML1026, donor versus recipient skewing was also highest in CD4 + T cell subsets, with fewer naïve (20% vs. 31%, p &lt; 0.01) but more donor-derived CD57 + CD4 + T cells (13% vs. 3%, p &lt; 0.01). We demonstrate that mtDNA mutations can discriminate between donor- and recipient-derived single cells, enabling detection and in-depth characterization of chimeric immune cell dynamics after MUD HSCT. This approach will allow to systematically dissect conditions of mixed chimerism in the post-transplant setting with larger studies. Disclosures DeAngelo: Abbvie: Research Funding; Takeda: Consultancy; Servier: Consultancy; Pfizer: Consultancy; Novartis: Consultancy, Research Funding; Jazz: Consultancy; Incyte: Consultancy; Forty-Seven: Consultancy; Autolus: Consultancy; Amgen: Consultancy; Agios: Consultancy; Blueprint: Research Funding; Glycomimetrics: Research Funding. Neuberg: Madrigal Pharmaceuticals: Other: Stock ownership; Pharmacyclics: Research Funding. Sankaran: Cellarity: Consultancy; Forma: Consultancy; Novartis: Consultancy; Branch Biosciences: Consultancy; Ensoma: Consultancy. Soiffer: Jasper: Consultancy; Jazz Pharmaceuticals, USA: Consultancy; Precision Biosciences, USA: Consultancy; Juno Therapeutics, USA: Other: Data Safety Monitoring Board; Kiadis, Netherlands: Membership on an entity's Board of Directors or advisory committees; Rheos Therapeutics, USA: Consultancy; Gilead, USA: Other: Career Development Award Committee; NMPD - Be the Match, USA: Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy. Garcia: Genentech: Research Funding; Prelude: Research Funding; Pfizer: Research Funding; AstraZeneca: Research Funding; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees; Astellas: Consultancy, Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Wu: Pharmacyclics: Research Funding; BioNTech: Current equity holder in publicly-traded company. OffLabel Disclosure: ipilimumab to modulate anti-leukemia immunity in the post-transplant and transplant-naive context

scholarly journals Pre-Existing T Cell Subsets Determine Anti-PD1 Blockade Response in Richter's Transformation

Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 42-43
Author(s):  
Prajish Iyer ◽  
Lu Yang ◽  
Zhi-Zhang Yang ◽  
Charla R. Secreto ◽  
Sutapa Sinha ◽  
...  
Keyword(s):  
T Cells ◽  
T Cell ◽  
Single Cell ◽  
Board Of Directors ◽  
Peripheral Blood ◽  
Research Funding ◽  
Gene Signature ◽  
T Cell Subsets ◽  
Rna Seq ◽  
Advisory Committees

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

Functional Comparison and Longitudinal Assessment of Tri-Functional T-Cells Recognizing CMV pp65 and IE-1 Polypeptides in Hematopoietic Stem Cell and Solid Organ Transplant Recipients.

Blood ◽  
2006 ◽  
Vol 108 (11) ◽  
pp. 2936-2936
Author(s):  
Don J. Diamond ◽  
Simon F. Lacey ◽  
Corinna La Rosa ◽  
Wendy Zhou ◽  
Ghislaine Gallez-Hawkins ◽  
...  
Keyword(s):  
T Cells ◽  
Stem Cell ◽  
T Cell ◽  
Solid Organ ◽  
Transplant Recipients ◽  
Hematopoietic Stem ◽  
Specific Ctls ◽  
Tnf Α ◽  
Ifn Γ ◽  
Cmv Disease

Abstract Reconstitution of adaptive T-cell responses to human cytomegalovirus (CMV) is critical to protection from CMV disease following hematopoietic stem cell (HSCT) or solid organ transplantation (SOT). However, there is an incomplete understanding of which CMV antigens and epitopes are most crucial to providing protective responses. The functional status of cytotoxic T-lymphocyte (CTL) populations recognizing cytomegalovirus IE-1 and pp65 polypeptides was investigated in PBMC from either HSCT or SOT recipients. Our previous finding of differing levels of degranulation between CMV IE1 and pp65/pp50 specific T-cells was complicated by the possibility that differences were epitope and/or HLA-specific. We generalized the approach using a combined flow-based CD107a/b degranulation/mobilization and intracellular cytokine (ICC) assays using peptide libraries as antigens. These assays indicated that a significantly higher proportion of pp65-specific CTLs were in a more mature functional state compared to IE-1-specific CTLs. Degranulation/multicytokine ICC assays also indicated that a significantly higher proportion of the pp65-specific versus IE-1-specific CTLs secreted both IFN-γ and TNF-α, in addition to possessing greater cytotoxic potential. These results support our earlier findings of functional differences between CTLs recognizing individual epitopes within the IE-1 and pp65 antigens in HSCT recipients, and extend them to a broader array of HLA-restricted responses to those antigens. A report that a subset of HIV-1 specific CTLs capable of producing both IFN-γ and TNF-α was associated with improved cytotoxic activity prompted us to investigate whether degranulation, a functional correlate of cytotoxicity, was positively associated with dual cytokine production and predicted differences between IE1 and pp65-specific CD8+ T-cells. A higher proportion of pp65-specific compared to IE1-specific T-cells were present in the trifunctional IFN-γ+,TNF-α+, CD107+ population (p=0.008) in HSCT recipients. We have extended these findings to investigate the role of donor CMV status in terms of functional maturity of CMV-specific T cell response in transplant recipients. T cell maturation/function may act as a mechanistic correlate to the survival advantage of recipients receiving a stem-cell graft from CMV sero-positive donors. These principles have also been applied to investigations of a high risk population of sero-negative recipients of a sero-positive liver allograft. Data from this study will also be reviewed in the context of the model of trifunctional T cells being indicative of enhanced protective capacity against CMV disease and associated with survival.

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