scholarly journals Differential expression of inhibitory receptor NKG2A distinguishes disease‐specific exhausted CD8 + T cells

MedComm ◽  
2022 ◽  
Vol 3 (1) ◽  
pp. 13-26
Author(s):  
Xiangyu Chen ◽  
Yao Lin ◽  
Shuai Yue ◽  
Yang Yang ◽  
Xinxin Wang ◽  
...  
2003 ◽  
Vol 24 (4) ◽  
pp. 162-164 ◽  
Author(s):  
Veronique M. Braud ◽  
Hatice Aldemir ◽  
Beatrice Breart ◽  
Walter G. Ferlin

Immunity ◽  
2015 ◽  
Vol 42 (6) ◽  
pp. 1116-1129 ◽  
Author(s):  
Vandana Kalia ◽  
Laura Anne Penny ◽  
Yevgeniy Yuzefpolskiy ◽  
Florian Martin Baumann ◽  
Surojit Sarkar

1995 ◽  
Vol 163 (2) ◽  
pp. 303-308 ◽  
Author(s):  
Satoshi Shinohara ◽  
Tetsuji Sawada ◽  
Yuichi Nishioka ◽  
Shigeto Tohma ◽  
Tomonari Kisaki ◽  
...  

Blood ◽  
2021 ◽  
Vol 138 (Supplement 1) ◽  
pp. 4717-4717
Author(s):  
Masha Frenkel ◽  
Zoya Alteber ◽  
Ning Xu ◽  
Mingjie Li ◽  
Haiming Chen ◽  
...  

Abstract Introduction Blocking inhibitory immune checkpoints holds promise to treat multiple myeloma (MM) patients. However, currently available checkpoint inhibitors have not shown significant clinical benefits for MM patients, warranting the need for alternative checkpoint blockers. The immune checkpoint TIGIT was recently shown to be the most upregulated immune inhibitory receptor on CD8+ T cells in MM patients' bone marrow (BM), compared to other checkpoints (Guillerey C., Blood. 2018). Preclinical models demonstrated the dominant effects of TIGIT blockade or depletion, by significantly improving mice survival, reducing myeloma cell numbers and exhausted T cell hallmarks (Minnie S., Blood. 2018). As a result, several clinical trials using anti-TIGIT monoclonal antibodies have been recently initiated in MM patients. The DNAM-1 family, in addition to TIGIT, also includes the inhibitory receptor PVRIG, that competes with the co-activating receptor DNAM-1 for the binding to the shared ligand PVRL2, similarly to the TIGIT/PVR/DNAM-1 interaction. Accordingly, TIGIT and PVRIG co-blockade were shown to synergize in enhancing T cell activity and anti-tumor activity in preclinical models (Whelan S., Cancer Immunol. Res. 2019). PVRL2 together with PVR (ligand of TIGIT) were shown to be highly expressed on plasma cells and on CD14+ cells in BM of MM patients (Lozano E., Clin. Cancer Res. 2020). This study aimed at evaluating DNAM-1 axis receptors expression in MM patients' BM. Methods Fresh BM aspirates were collected from 21 MM patients with progressive disease (PD) or in complete response (CR) after obtaining IRB approval. BM mononuclear cells were isolated and single cell suspensions were obtained followed by staining with anti-human antibodies to evaluate DNAM-1 axis members and PD-1 expression. BM biopsies from 6 MM patients (each patient had 4 core on the Tissue Micro-Array T291 USBiomax) were stained for PVRL2 expression by immuno-histochemistry (IHC). Results Flow cytometry analysis of PD-1 and DNAM-1 axis receptors revealed a significant lower fraction of PD1+ cells among cell populations examined compared with other receptors. TIGIT expression was the highest on NK, CD8+ and NKT cells compared to CD4+ T cells, which is in line with previous published data (Lozano E. Clin. Cancer Res. 2020). In contrast, DNAM-1 was expressed on CD8+ T, NK and NKT cells with prominent high expression on CD4+ T cells (Fig 1A). The highest expression among the receptors was of PVRIG on all lymphoid populations, except CD4+ where DNAM-1 was more highly expressed. Importantly, 50% of CD8+ T cells co-expressed TIGIT and PVRIG, supporting a combinatorial therapeutic approach (Fig. 1B). Additionally, the expression of the PVRL2 ligand on MM plasma and endothelial cells was demonstrated by IHC. FACS analysis further supported PVRL2 expression on plasma cells in MM BM (Fig 2). A higher expression of PVRIG, TIGIT and PD-1 was present on DNAM-1 negative CD8+ T cells (Fig 3A, B), suggesting accumulation of exhausted cells in MM tumor microenvironment (TME) as previously described (Minnie S., Blood. 2018). PVRIG had significantly higher expression on DNAM+ cells, compared to PD-1 and TIGIT (Fig 3C), suggesting the potential of its blockade to enhance DNAM-1 activation and subsequent proliferation of earlier differentiated memory cells in MM TME. Finally, CR patients had a trend for higher DNAM-1 expression on CD8+ T cells compared to those with PD (Fig 3D). This is consistent with other reports in mice showing that the expression of DNAM-1 negatively correlates with BM myeloma cell numbers (Minnie S., Blood. 2018). Conclusions DNAM-1 axis receptors are dominantly expressed on lymphocytes in BM of MM patients, with PVRIG exhibiting the most prominent expression. The reduced expression of DNAM-1 in PD patients' TME, compared to CR patients, suggests a link between DNAM-1 axis and clinical outcomes. Recent data suggest TIGIT is an attractive target for blockade in MM. Our new findings highlight for the first time the dominant expression of PVRIG, as well as TIGIT, and suggest that combined blockade of TIGIT with PVRIG may potentially benefit MM patients, placing the DNAM-1 axis as a dominant pathway in MM therapy. Figure 1 Figure 1. Disclosures Frenkel: Compugen Ltd.: Current Employment, Other: in the event of frontal participation, I will be reimbursed for my travel expenses by Compugen Ltd.. Alteber: Compugen Ltd.: Current Employment. Cojocaru: Compugen Ltd.: Current Employment. Ophir: Compugen Ltd.: Current Employment.


Blood ◽  
2016 ◽  
Vol 128 (22) ◽  
pp. 1700-1700
Author(s):  
Hanna A. Knaus ◽  
Sofia Berglund ◽  
Hubert Hackl ◽  
Raúl Montiel-Esparza ◽  
Mark J. Levis ◽  
...  

Abstract Background: T cell dysfunction in AML remains poorly understood. Our previous studies of AML-associated T cell dysfunction (Knaus, ASH 2015) have focused on expression of multiple inhibitory receptors by T cells in AML patients. Transcriptional signatures, however, remain relatively unexplored, as does the role of Blast/T cell interactions on T cell function. Deciphering those could be crucial for integration of future immunotherapies into clinical practice. Therefore, we aimed to characterize CD8+ T cell gene expression signatures in newly diagnosed AML patients before and after treatment, and to decipher the effects of AML blasts on the expression of co-signaling molecules by CD8+ T cells in co-culture experiments. Methods: Serial peripheral blood (PB) samples (at diagnosis and at the recovery after induction chemotherapy) were collected. To study transcriptional signatures, RNA isolated from FACS-purified PB CD8+ T cells from 6 patients [3 responders (R) and 3 non-responders (NR)] and 4 healthy controls (HC) was analyzed with the Human Prime View Gene Expression Array (Affymetrix). The data were normalized and log transformed. Expression fold change (FC), p values and false discovery rate were determined. Enrichment of canonical pathways was determined using Ingenuity Pathway Analysis (IPA, QIAGEN). To study AML blast-T cell interactions, we FACS-purified T cells and primary AML blasts at diagnosis (n=13) and T cells from HC (n=12). T cells were cultured in vitro for 3 days in the presence or absence of blasts (T cell:blast ratio 1:10) and analyzed by flow cytometry. Results: The transcriptional profile of CD8+ T cells at AML diagnosis significantly differed from that of HC. Genes were selected based on >2 FC between patient and HC, and p< 0.01. We identified a total of 453 dysregulated genes, of which 237 were up- and 216 down-regulated. Upregulated genes included immune inhibitory receptors LILRB1, 2B4, KLRG1, CD160, the transcription factors EOMES, TBET, TIGIT and cytokines (granzyme-A/B/K). In contrast, co-stimulatory receptor genes were downregulated, including CD40LG, CD28, CD30LG and CD28H. Canonical pathways analysis with IPA revealed that the NFAT pathway (involved in T cell differentiation and self-tolerance) was highly upregulated, while co-stimulatory CD28, ICOS and OX40 signaling pathways were downregulated in CD8+ T cells at AML diagnosis. Next, we compared R to NR after induction chemotherapy. There were a total of 351 dysregulated genes; 108/243 genes were up-/down-regulated, respectively. R patients upregulated immune stimulatory receptor genes like ICOS, whereas the top expressed genes for NR patients included the co-inhibitory receptor TIM3; several members of the inhibitory LIR receptor family; LST1 (involved in inhibition of lymphocyte proliferation); TWEAK-APRIL (associated with T cell apoptosis); and CD39 (terminally exhausted CD8+ T cells). In line with these findings, IPA showed that the co-stimulatory ICOS and OX40 signaling pathways were enriched in R patients. In contrast, the NFAT pathway, which had been highly upregulated at diagnosis, remained enriched in NR, but not in R patients. Results were confirmed by qPCR. The culture assay showed that the presence of primary AML blasts significantly reduced the viability of both AML and HC T cells (p <0.005 in both cases). The presence of AML blasts also significantly decreased the frequency of primary AML T cells expressing co-stimulatory receptors 41BB, ICOS and OX40, while it increased the frequency of HC T cells expressing co-inhibitory receptor 2B4 and the senescence/exhaustion marker CD57 compared to their counterparts cultured without blasts. Conclusions: Our study provides insight into the genomic CD8+ T cell signatures of AML patients at diagnosis and following chemotherapy. At diagnosis, T cells overexpressed genes that negatively regulate T cell immune responses, while genes that positively regulate immune responses were downregulated. Interestingly, after induction chemotherapy these changes persisted in NR only. Additionally, a pattern of decreased viability and co-stimulatory receptor expression was seen after in vitro co-culture of T cells with AML blasts, whereas immune inhibitory receptor expression was increased. Our data suggests that the blasts themselves influence the T cell phenotype and genotype in AML patients and that remission is associated with reversion to HC pattern. Disclosures Levis: Astellas: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Honoraria, Research Funding; Daiichi-Sankyo: Consultancy, Honoraria; Millennium: Consultancy, Research Funding.


2020 ◽  
Author(s):  
Thorbald van Hall ◽  
Nadine van Montfoort ◽  
Linda Borst ◽  
Michael J. Korrer ◽  
Young Kim ◽  
...  

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