Sylvain Simon1, Virginie Vignard1, Laetitia Florenceau1, B Dreno1, A Khammari1, F Lang2, N Labarriere1. 1. Inserm UMR892/CNRS UMR6299/Univ Nantes, Nantes, France; LabEx IGO "Immunotherapy, Graft, Oncology", Nantes, France; Department of Dermato-cancerology of CHU Nantes, Nantes, France. 2. Inserm UMR892/CNRS UMR6299/Univ Nantes, Nantes, France; LabEx IGO "Immunotherapy, Graft, Oncology", Nantes, France.
Abstract
Despite its negative regulatory role on tumor-specific T cells, Programmed cell death 1 (PD-1) is also a marker of activated tumor-infiltrating T cells. In cancer, PD-1 blockade partially reverses T cell dysfunction allowing the amplification of tumor reactive T cells. Here, we investigated the role of PD-1 signaling on effector/memory human T cells specific for shared melanoma antigens, derived from blood. We documented for the first time the existence of melanoma-specific T cell clones unable to express PD-1. This stable feature was due to the persistent methylation of the PDCD1 promoter. These PD-1neg clones were of lower avidity than their PD-1pos counterparts, suggesting that high-affinity-specific T cell clones unable to express PD-1 are not or rarely present in peripheral blood, as they are probably eliminated by negative selection, due to their high reactivity. We also documented the existence of such PD-1neg T cell clones in melanoma tumor-infiltrating lymphocytes (TIL), which also exhibited a lower functional avidity than PD-1pos TIL clones. This clearly shows that PD-1 expression identifies antigen-specific T cell clonotypes of high functional avidity. Finally, we demonstrated that PD-1 blockade during the in vitro selection process of Melan-A-specific T cells favored the amplification of higher avidity T cell clonotypes. This preferential amplification of high-avidity memory T cells upon PD-1 blockade resonates with the expansion of reactive T cells, including neo-antigen-specific T cells observed in anti-PD-1-treated patients. This feature should also be a useful biomarker of clinical efficiency, while providing new insights for adoptive transfer treatments.
Despite its negative regulatory role on tumor-specific T cells, Programmed cell death 1 (PD-1) is also a marker of activated tumor-infiltrating T cells. In cancer, PD-1 blockade partially reverses T cell dysfunction allowing the amplification of tumor reactive T cells. Here, we investigated the role of PD-1 signaling on effector/memory human T cells specific for shared melanoma antigens, derived from blood. We documented for the first time the existence of melanoma-specific T cell clones unable to express PD-1. This stable feature was due to the persistent methylation of the PDCD1 promoter. These PD-1neg clones were of lower avidity than their PD-1pos counterparts, suggesting that high-affinity-specific T cell clones unable to express PD-1 are not or rarely present in peripheral blood, as they are probably eliminated by negative selection, due to their high reactivity. We also documented the existence of such PD-1neg T cell clones in melanoma tumor-infiltrating lymphocytes (TIL), which also exhibited a lower functional avidity than PD-1pos TIL clones. This clearly shows that PD-1 expression identifies antigen-specific T cell clonotypes of high functional avidity. Finally, we demonstrated that PD-1 blockade during the in vitro selection process of Melan-A-specific T cells favored the amplification of higher avidity T cell clonotypes. This preferential amplification of high-avidity memory T cells upon PD-1 blockade resonates with the expansion of reactive T cells, including neo-antigen-specific T cells observed in anti-PD-1-treated patients. This feature should also be a useful biomarker of clinical efficiency, while providing new insights for adoptive transfer treatments.
Entities:
Keywords:
Adoptive T cell transfer; Melan-A; PD-1; T cell avidity; immunotherapy; melanoma
PD-1 protein, inducible on many immune cell types, is an immunoglobulin superfamily member related to CD28 and is a major T-cell co-inhibitory receptor. The first function assigned to PD-1 was its involvement in immunological peripheral tolerance, maintaining T cell homeostasis by the control of auto-reactive T cells. PD-1 has two natural ligands: PD-L1, expressed on activated T cells, monocytes and dendritic cells, and PD-L2, which expression is restricted to dendritic cells and macrophages. Ligation of PD-1 with one of its ligands results in dampening early TCR signaling, through the recruitment of the phosphatases SHP-1 and SHP-2, leading to direct dephosphorylation of signaling intermediates. Besides its role in maintenance of physiologic self-tolerance, PD-1 is also implicated in the downregulation of antitumor immunity. Indeed, PD-L1 is commonly expressed on a variety of solid tumors including melanomas contributing to immune escape and is often associated with poor prognosis. Furthermore, melanoma infiltrating lymphocytes are often enriched in PD-1 expressing CD8+ T cells, which are functionally impaired, but recent studies reported that PD-1, in addition to its inhibitory functions, could be a useful biomarker to identify tumor-specific T cell repertoire in melanoma. Several clinical trials using blocking anti-PD-1 antibody reported unparalleled effectiveness for cancer immunotherapy, including melanoma, in terms of clinical response rates. The search for biomarkers associated with clinical efficiency of PD-1 blockade revealed that both PD-L1 expression on melanoma cells and pre-existing CD8+ T cell infiltration in the tumor microenvironment should be predictive of clinical response. Furthermore, it has been recently described, in a responding NSLCC patient, that anti-PD-1 treatment could induce the proliferation of reactive neo-antigen specific T cells, suggesting that anti-PD-1 therapy can reinvigorate tumor-specific immune response. Obviously, PD-1 blockade has an impact on neo-antigen-specific T cell activation, but its incidence on pre-existing T cells specific for shared tumor antigens remains poorly documented.Starting from vast T cell repertoires specific for shared melanoma antigens, we sought to decipher the relation between T cell avidity, functional properties, repertoire diversity and PD-1 regulation at the clonal and polyclonal level, for melanoma specific effector T cells. We further studied in vitro the impact of PD-1 blockade on both diversity and functions of Melan-A-specific T cell repertoire, providing new insights about the role of PD-1 in tumor immunity with strong implications in the field of cancer immunotherapy.
Results
PD-1 is differentially expressed on melanoma specific T cells clones
We used the procedure previously described to produce Melan-A and MELOE-1 specific T cells from peripheral blood mononuclear cell (PBMC) from an HLA-A2 healthy donor and a melanomapatient. Fig. 1A is a representative example of the phenotype of specific T cells at different steps of the production process. After the initial peptide stimulation step, lymphocytes enriched in antigen-specific T cells (Fig. 1A, left panel) were sorted and amplified. At the end of the amplification procedure, CD8+ T cells were fully specific for the cognate antigen (Fig. 1A, middle panel). A fraction of these specific T cells expressed the PD-1 molecule at rest (attested by the absence of CD25 expression), whereas another fraction was PD-1neg (Fig. 1A, right panel). In order to explore molecular mechanisms regulating PD-1 expression and to compare the functions of PD-1neg and PD-1pos T cells, we derived Melan-A and MELOE-1-specific T cell clones by limiting dilution from these polyclonal specific T cells. As illustrated by Fig. 1B, the percentage of PD-1 expression at rest was very variable from one clonotype to another but remained very stable for a given clonotype (repeated measures at rest after seven independent amplification periods). Globally, PD-1pos and PD-1neg T cell clones exhibited the same phenotype of effector-memory T cells (CD45ROpos, CD27neg, CD28low, CD62-Llow) and PD-1 expression was not associated with other exhaustion or inhibition markers (CTLA-4neg, BTLAlow, Tim-3low, CD95low) (Table S1). We thus selected three pairs of PD-1pos and PD-1neg specific T cell clones, from the same healthy donor or melanomapatient, indicated with arrows on the Fig. 1B. We tested the ability of these T cell clones to express PD-1 when stimulated by various stimuli: specific peptides, anti-CD3 Ab (OKT3), melanoma cell lines expressing Melan-A and MELOE-1 antigens or PMA-CaI. As shown in Fig. 1C, the fraction of PD-1 expressing T cells increased upon stimulation for PD-1pos T cell clones (solid lines), regardless of the stimulation mode, whereas PD-1neg T cell clones (dotted lines) remained unable or poorly able to express this molecule even when bypassing TCR signaling using PMA-CaI stimulation. This suggested either a negative control of PD-1 expression at the transcriptional level or a defect of PD-1 export at the cell surface in these specific T cell clones. We further explored the expression of the PD-1 gene in these T cell clones at rest and after stimulation.
Figure 1.
PD-1 expression on melanoma-specific T cells clones. (A). Example of specificity and PD-1 expression on Melan-A-specific T cells. 107 PBMC from a melanoma patient were stimulated in 96-well plates (2 × 105 cells/well) during 14 d with 1 μM of Melan-AA27Lpeptide. Melan-A-specific T cells (left panel) were sorted with Chim-AvT dynabeads coated with HLA-A2-peptide monomers and amplified on allogeneic irradiated feeders cells. After 16 d, the specificity (middle panel) and PD-1 expression (right panel) on resting T cells was assessed by a quadruple labeling using tetramer, anti-CD8, anti-CD25 and anti-PD-1 antibodies. (B). Stability of PD-1 expression profile on resting antigen-specific T cell clones. Melan-A and MELOE-1-specific T cell clones were derived from sorted T cell populations by limiting dilution. PD-1 expression on resting T cell clones was assessed by double labeling with anti-PD-1 and anti-CD25 antibodies (n = 7). Arrows indicate the T cell clones selected for further characterization. (C). PD-1 expression on specific T cell clones after activation. Specific T cell clones were activated either with a range of Melan-AA27L or MELOE-136-44-specific peptides, immobilized anti-CD3 Ab (OKT3), HLA-A2 melanoma cell lines or PMA-CaI, for 6 h at 37°C. Activation and PD-1 expression were assessed by anti-CD25 and anti-PD-1 double labeling (n = 3).
PD-1 expression on melanoma-specific T cells clones. (A). Example of specificity and PD-1 expression on Melan-A-specific T cells. 107 PBMC from a melanomapatient were stimulated in 96-well plates (2 × 105 cells/well) during 14 d with 1 μM of Melan-AA27Lpeptide. Melan-A-specific T cells (left panel) were sorted with Chim-AvT dynabeads coated with HLA-A2-peptide monomers and amplified on allogeneic irradiated feeders cells. After 16 d, the specificity (middle panel) and PD-1 expression (right panel) on resting T cells was assessed by a quadruple labeling using tetramer, anti-CD8, anti-CD25 and anti-PD-1 antibodies. (B). Stability of PD-1 expression profile on resting antigen-specific T cell clones. Melan-A and MELOE-1-specific T cell clones were derived from sorted T cell populations by limiting dilution. PD-1 expression on resting T cell clones was assessed by double labeling with anti-PD-1 and anti-CD25 antibodies (n = 7). Arrows indicate the T cell clones selected for further characterization. (C). PD-1 expression on specific T cell clones after activation. Specific T cell clones were activated either with a range of Melan-AA27L or MELOE-136-44-specific peptides, immobilized anti-CD3 Ab (OKT3), HLA-A2 melanoma cell lines or PMA-CaI, for 6 h at 37°C. Activation and PD-1 expression were assessed by anti-CD25 and anti-PD-1 double labeling (n = 3).
PD-1 expression on melanoma-specific T cell clones is regulated by epigenetic mechanisms
We analyzed PD-1 expression by RT-qPCR in PD-1pos and PD-1neg T cell clones, at rest and after 6 h of OKT3 stimulation. Activation status was systematically assessed by CD25 labeling. Results were normalized on PD-1 expression, at rest, in the Melan-A-specific T cell clone HA1. As illustrated in Fig. 2A, at rest (white bars), we could not detect PD-1 expression in PD-1neg T cell clones (2C9, 1D12 and 2A1), whereas PD-1 mRNA was already present in PD-1pos T cell clones (HA1, 3A12 and 4D1). Upon stimulation (gray bars), PD-1 relative expression increased in PD-1pos T cell clones, whereas it remained hardly detectable in PD-1neg ones. These results are in accordance with those obtained by flow cytometry, suggesting that the absence of PD-1 expression in PD-1neg T cell clones was mainly due to a negative transcriptional control. We thus investigated the methylation status of PDCD1 gene promoter on both types of T cell clones by bisulfite sequencing methylation analysis of the 23 CpG nucleotides present in the PD-1 conserved regulatory region (Fig. 2B). Globally, at rest and after TCR stimulation, PD-1neg T cell clones exhibited a significantly higher proportion of methylated CpG dinucleotides than PD-1pos T cell clones (Fig. 2C). Fig. 2D illustrates the methylation status of each CpG position, and shows that most CpG nucleotides displayed differences in methylation status between PD-1neg and PD-1pos clonotypes, especially from positions 15 to 21. Upon TCR stimulation, the methylation status of the regulatory region only slightly decreased in one PD-1neg T cell clones (1D12, Fig. 2D), an observation consistent with the low PD-1 expression observed by qPCR in this T cell clone after stimulation (Fig. 2A). These data underlined marked differences in the epigenetic regulation program of the PDCD1 gene, among an antigen-specific T cell repertoire. This epigenetic regulation appears to be the major regulator of PD-1 expression on melanoma-specific T cells. We further explored the reactivity and affinity of these T cell clones.
Figure 2.
Transcriptional regulation of PD-1 expression on T cell clones. (A). PD-1 relative expression measured by RT-qPCR. PD-1 relative expression was measured on resting T cell clones (white bars) or after 6 h of activation with 1 μg/mL of OKT3 Ab (gray bars). PD-1 relative expression was normalized on the expression of two house-keeping genes (RPLPO and cyclophilin) and on PD-1 expression measured in resting HA1 T cell clone (n = 2). (B). Schematic representation of the PD-1 transcriptional regulatory region. Box represents the 460 bp region containing the 23 CpG analyzed, between −1206 and −769 positions. Arrows indicate the approximate location of the primers (external and nested primers) used for bisulfite sequencing analysis. (C). Global methylation of the regulatory region of PD-1 gene. Global percentages of methylation (mean ± SEM) of the 23 CpG of the PD-1 regulatory region were calculated on at least 33 sequences derived from PD-1pos (white circles) and PD-1neg (black circles) T cell clones, at rest and after 6 h of activation with OKT3 (1 μg/mL). Statistical analyses were performed using a non-parametric Mann–Whitney t test, to globally compare PD-1pos and PD-1neg T cell clones (***p < 0.001, two-tailed p value). (D). Individual bisulfite sequencing methylation analysis. Bisulfite sequencing of the PD-1 regulatory region was performed on PD-1neg and PD-1pos T cell clones. DNA treated by bisulfite conversion was amplified, cloned and sequenced. Each line represents an individual clone picked for sequencing. Filled circles represent methylated cytosines and open circles unmethylated ones.
Transcriptional regulation of PD-1 expression on T cell clones. (A). PD-1 relative expression measured by RT-qPCR. PD-1 relative expression was measured on resting T cell clones (white bars) or after 6 h of activation with 1 μg/mL of OKT3 Ab (gray bars). PD-1 relative expression was normalized on the expression of two house-keeping genes (RPLPO and cyclophilin) and on PD-1 expression measured in resting HA1 T cell clone (n = 2). (B). Schematic representation of the PD-1 transcriptional regulatory region. Box represents the 460 bp region containing the 23 CpG analyzed, between −1206 and −769 positions. Arrows indicate the approximate location of the primers (external and nested primers) used for bisulfite sequencing analysis. (C). Global methylation of the regulatory region of PD-1 gene. Global percentages of methylation (mean ± SEM) of the 23 CpG of the PD-1 regulatory region were calculated on at least 33 sequences derived from PD-1pos (white circles) and PD-1neg (black circles) T cell clones, at rest and after 6 h of activation with OKT3 (1 μg/mL). Statistical analyses were performed using a non-parametric Mann–Whitney t test, to globally compare PD-1pos and PD-1neg T cell clones (***p < 0.001, two-tailed p value). (D). Individual bisulfite sequencing methylation analysis. Bisulfite sequencing of the PD-1 regulatory region was performed on PD-1neg and PD-1pos T cell clones. DNA treated by bisulfite conversion was amplified, cloned and sequenced. Each line represents an individual clone picked for sequencing. Filled circles represent methylated cytosines and open circles unmethylated ones.
PD-1neg-specific T cell clones exhibit lower avidity than PD-1pos clones
In order to compare the reactivity of PD-1pos and PD-1negmelanoma-specific T cell clones against natural targets expressing or not a PD-1 ligand, we stably transfected the TAP-deficient T2 cell line and a HLA-A2+ melanoma cell line (M113) expressing Melan-A and MELOE-1 antigens with a PD-L1 expression plasmid. The selected cell lines stably expressed PD-L1 (Fig. 3A) and the PD-L1pos melanoma cell line exhibited similar levels of antigens and co-stimulation molecules (HLA-A2, ICAM-1, LFA-3) as compared to the wild-type cell line (Fig. 3B). The reactivity of T cell clones was measured against wild type and transfected cell lines by an IFNγ-specific ELISA test, after a 6 h activation period (Fig. 3C). As expected, IFNγ production by Melan-A-specific PD-1neg T cell clones (2C9 and 1D12) was not altered by PD-L1 expression on melanoma cells (left panel) whereas IFNγ production by PD-1pos T cell clones (specific for Melan-A and MELOE-1) was substantially decreased upon activation with PD-L1 expressing melanoma cell line (right panel). Interestingly, we observed that, globally, Melan-A-specific PD-1pos T cell clones produced higher levels of IFNγ compared to PD-1neg clones. Concerning the pair of MELOE-1 specific T cell clones, we did not observed any IFNγ production by the PD-1neg T cell clone (2A1) when compared to the PD-1pos one (4D1). This suggested that the number of specific HLA-peptide complexes naturally presented by the M113 melanoma cell line was too low to activate the 2A1 specific T cell clone, probably due to its low avidity. We thus retested the reactivity of the two MELOE-1-specific T cell clones on TAP-deficient T2 cells stably transfected or not with PD-L1, and loaded with 10 μM of MELOE-136-44 peptide. Both clones produced IFNγ upon stimulation with peptide-pulsed T2 cells but only the reactivity of 4D1 T cell clone (PD-1pos) was affected by PD-L1 expression on T2 cells (Fig. 3D). As observed for Melan-A-specific T cell clones, the PD-1pos T cell clone (4D1) was slightly more reactive than the PD-1neg one (2A1), in terms of global IFNγ production on loaded wild-type T2 cells. Taken together, these results suggested that PD-1pos-specific T cell clones may be of higher avidity than PD-1neg ones.
Figure 3.
Reactivity and affinity of PD-1pos and PD-1neg T cell clones. (A). Flow cytometric analysis of PD-L1 expression on M113 (left panel) and T2 (right panel) cell lines wild type and stably transfected with a PD-L1 coding expression vector. The filled histograms represent negative control staining while the over-laid empty histograms show staining with a PE-conjugated anti-PD-L1 Ab (clone MIH1, BD Biosciences). (B). Expression of HLA-A2 (clone BB7.2, BD Biosciences), Melan-A (clone A103, Dako, Denmark), ICAM-1 (CD54, clone HA58, BD Biosciences) and LFA-3 (CD58, clone 1C3, BD Biosciences) on M113 (upper panel) and M113-PD-L1pos (lower panel) cell lines. All the antibodies, unless A103 Ab were PE-conjugated. For Melan-A intracellular staining, cells were fixed, permeabilized, incubated with A103 Ab, and stained with PE-conjugated goat Fab’2 anti-mouse IgG secondary Ab (Beckman Coulter, France). (C). IFNγ production of PD-1neg and PD-1pos T cell clones in response to melanoma cell lines. IFNγ production was measured by ELISA (n = 2) in supernatants of PD-1neg (left column, dotted lines) and PD-1pos (right column, solid lines) T cell clones after 6 h of activation with M113 melanoma cell line (white circles) or M113-PD-L1pos melanoma cell line (black circles). (D). IFNγ production of PD-1neg and PD-1pos MELOE-1-specific T cell clones in response to T2 cells loaded with the MELOE-136-44 peptide. IFNγ production was measured by ELISA (n = 2) in supernatants of PD-1neg (left panel, dotted lines) and PD-1pos (right panel, solid lines) MELOE-1-specific T cell clones after a 6-h-activation period with peptide-loaded T2 cells (white circles) or peptide-loaded T2-PD-L1pos cells (black circles). (E). Avidities of PD-1neg and PD-1pos Melan-A and MELOE-1-specific T cell clones. T cell clones' avidities (PD-1neg, dotted lines and PD-1pos, solid lines) were evaluated by measuring IFNγ (left panel) and TNF-α production (right panel) in response to T2 cells loaded either with a range of Melan-AA27L peptide or MELOE-136-44 peptides, at an E:T ratio of 1:2. Cytokine production was evaluated by intracellular labeling with antibodies specific for IFNγ or TNF-α (gated on CD8+ T cells).
Reactivity and affinity of PD-1pos and PD-1neg T cell clones. (A). Flow cytometric analysis of PD-L1 expression on M113 (left panel) and T2 (right panel) cell lines wild type and stably transfected with a PD-L1 coding expression vector. The filled histograms represent negative control staining while the over-laid empty histograms show staining with a PE-conjugated anti-PD-L1 Ab (clone MIH1, BD Biosciences). (B). Expression of HLA-A2 (clone BB7.2, BD Biosciences), Melan-A (clone A103, Dako, Denmark), ICAM-1 (CD54, clone HA58, BD Biosciences) and LFA-3 (CD58, clone 1C3, BD Biosciences) on M113 (upper panel) and M113-PD-L1pos (lower panel) cell lines. All the antibodies, unless A103 Ab were PE-conjugated. For Melan-A intracellular staining, cells were fixed, permeabilized, incubated with A103 Ab, and stained with PE-conjugated goat Fab’2 anti-mouse IgG secondary Ab (Beckman Coulter, France). (C). IFNγ production of PD-1neg and PD-1pos T cell clones in response to melanoma cell lines. IFNγ production was measured by ELISA (n = 2) in supernatants of PD-1neg (left column, dotted lines) and PD-1pos (right column, solid lines) T cell clones after 6 h of activation with M113 melanoma cell line (white circles) or M113-PD-L1pos melanoma cell line (black circles). (D). IFNγ production of PD-1neg and PD-1pos MELOE-1-specific T cell clones in response to T2 cells loaded with the MELOE-136-44 peptide. IFNγ production was measured by ELISA (n = 2) in supernatants of PD-1neg (left panel, dotted lines) and PD-1pos (right panel, solid lines) MELOE-1-specific T cell clones after a 6-h-activation period with peptide-loaded T2 cells (white circles) or peptide-loaded T2-PD-L1pos cells (black circles). (E). Avidities of PD-1neg and PD-1pos Melan-A and MELOE-1-specific T cell clones. T cell clones' avidities (PD-1neg, dotted lines and PD-1pos, solid lines) were evaluated by measuring IFNγ (left panel) and TNF-α production (right panel) in response to T2 cells loaded either with a range of Melan-AA27L peptide or MELOE-136-44 peptides, at an E:T ratio of 1:2. Cytokine production was evaluated by intracellular labeling with antibodies specific for IFNγ or TNF-α (gated on CD8+ T cells).We thus formally tested the avidity of these different T cell clones on T2 cells loaded with a range of specific peptides (Fig. 3E). For each pair of specific T cell clones, the PD-1pos clone (solid line) exhibited a higher functional avidity than the PD-1neg one (dotted line), as evidenced by EC50 values calculated for IFNγ and TNF-α production, that were from 4 to 15 times lower for IFNγ production (left panel), and from 4 to 7 times lower for TNF-α production (right panel). All these differences were statistically significant, with p < 0.0001 for HA1 vs. 2C9 and 4D1 vs. 2A1 T cell clones for both functions, and with p < 0.05 for 1D12 vs. 3D12 for IFNγ production and p < 0.001 for TNF-α production. Therefore, PD-1neg-specific T cell clones naturally present within an endogenous repertoire exhibit lower avidity than PD-1 expressing T cell clones and would represent suboptimal effectors. We thus sought to investigate at the polyclonal level the impact of PD-1 blockade during the production process of specific T cells on repertoire diversity and functional avidity of amplified melanoma-specific T cells.
Existence of PD-1neg-specific T cell clones of low functional avidity within melanoma TIL
In order to exclude that the existence of T cell clones unable to express PD-1 was not artificially induced by peptide stimulation in vitro, we looked for such T cell clones within Melan-A-specific TIL from two melanomapatients, after cloning by limiting dilution. We measured PD-1 expression on three Melan-A-specific T cell clones derived from M180 melanoma tumor and two specific TIL clones from M199 tumor. As shown in Fig. 4A, we found two TIL clones unable to express PD-1 after OKT3 stimulation from both populations (M180.51 and M199.17). We further compared functional avidities of these TIL clones measuring CD107a degranulation and documented in both cases, that PD-1neg TIL clones exhibited a significantly much lower functional avidity than their PD-1pos counterparts (p < 0.0001) (Fig. 4B).
Figure 4.
PD-1 expression and functional avidity of Melan-A-specific T cell clones derived from melanoma TIL. (A). CD25-PD-1 labeling of TIL clones, at rest and after OKT3 stimulation (1 μg/mL, 6 h at 37°C). (B) Functional avidities of PD-1neg (dotted lines) and PD-1pos TIL clones (solid lines) were evaluated by measuring CD107a membrane expression in response to T2 cells loaded with a range of Melan-AA27L peptide, at an E:T ratio of 1:2. CD107a membrane expression was evaluated by double staining with anti-CD8 and CD107a monoclonal antibodies.
PD-1 expression and functional avidity of Melan-A-specific T cell clones derived from melanoma TIL. (A). CD25-PD-1 labeling of TIL clones, at rest and after OKT3 stimulation (1 μg/mL, 6 h at 37°C). (B) Functional avidities of PD-1neg (dotted lines) and PD-1pos TIL clones (solid lines) were evaluated by measuring CD107a membrane expression in response to T2 cells loaded with a range of Melan-AA27L peptide, at an E:T ratio of 1:2. CD107a membrane expression was evaluated by double staining with anti-CD8 and CD107a monoclonal antibodies.
The addition of PD-1-blocking antibody during the amplification process of Melan-A-specific T cells enhanced their proliferation and modifies specific T cell repertoire
We first compared the amplification rates of Melan-A-specific T lymphocytes expanded according to the standard peptide-stimulation step or to a modified procedure in which an anti-PD-1 blocking Ab was added together with the peptide. This comparison was performed on PBMC derived from two HLA-A2 healthy donors and three melanomapatients. The absolute number of Melan-A-specific T cells (calculated from the total number of T cells and the fraction of tetramer-positive lymphocytes at the end of the peptide stimulation step) was from 2 to 9 times greater in this new culture condition (Fig. 5A, hatched bars), as compared to the control condition (white bars). Thus, PD-1 blockade enhances the specific T cell expansion induced by peptide stimulation of PBMC, derived either from healthy donors or melanomapatients.This increased proliferation of specific T lymphocytes prompted us to compare the diversity of the specific T cell repertoire amplified in both conditions. To this aim, specific T cells were sorted as previously described, and amplified with or without anti-PD-1-blocking Ab. After this amplification step, recovered T lymphocytes were fully specific of Melan-A antigen as documented by specific tetramer labeling and rather polyclonal as shown in Fig. 5B illustrating Vß subfamilies representing more than 5% of specific T cells. Melan-A-specific T cell repertoire was significantly modified when T cells were produced in the presence of anti-PD-1 Ab (hatched bars), as compared to the control condition (white bars). For each donor or patient, we observed the specific proliferation of one to two Vß subfamilies that were under-represented or absent in the control condition. This increased proliferation appears detrimental to other populations preferentially expanded in the control condition.Concerning healthy donor HD49, Melan-A-specific T cell repertoire is polyclonal in both conditions, with Vß14 lymphocytes as the dominant subfamily in the control condition (28%) and Vß7.1 (6.5%) and Vß16 (6%) subfamilies specifically amplified in the “anti-PD-1′ condition. Specific T cell repertoire was much narrower in HD52donor, with Vß14 subfamily shared in both conditions, and Vß23 and Vß7.2 subfamilies specifically amplified respectively in the control and “anti-PD-1′ conditions. Thus, blocking PD-1 pathway during the amplification process of Melan-A-specific T cells appeared to modify specific T cell repertoire. We then conducted the same experiments on PBMC derived from three melanomapatients and confirmed this result.Indeed, for the patient P2, Melan-A-specific T cells were globally poorly polyclonal, with a dominant (86%) Vß13.1 subfamily in the control condition and two distinct dominant Vß subtypes in the “anti-PD-1′ condition: Vß13.2 (15%) and Vß14 (75%). Melan-A-specific T cells from patient P3 were more polyclonal with common and well-represented Vß subtypes in both conditions (Vß13.1 and Vß14). Nonetheless, Vß3 and Vß17 lymphocytes representing respectively 28% and 16% of Melan-A-specific T cells in the control condition were almost absent in the “anti-PD-1′ condition. Conversely, Melan-A-specific Vß23 T cells were specifically amplified (16%) in this latter culture condition. Finally, specific repertoire differences were even more pronounced for patient P4, with a polyclonal repertoire for the control condition, and a major amplification of Vß20 Melan-A-specific T cells (85%) for the “anti-PD-1′ condition.As the use of an anti-PD-1-blocking Ab in our selection and amplification procedure clearly favored the proliferation of peculiar Vß subfamilies, we decided to compare the avidity of these subpopulations to that of Vß subtypes preferentially expanded in the control condition (indicated by arrows in Fig. 5B).
The addition of PD-1-blocking antibody favors the amplification of high-avidity clonotypes
We tested the affinity of Vß subfamilies specifically enriched in the two culture conditions on T2 cells loaded with a range of Melan-AA27L peptide, using double staining with a specific anti-Vß Ab together with IFNγ (Fig. 6, left panel), TNF-α (middle panel) or CD107a labeling (right panel). Solid lines represent Vß subpopulations specifically expanded with anti-PD-1 Ab and dotted lines Vß subpopulations preferentially expanded in the control condition. For healthy donors (HD49 and HD52) Vß subfamilies selected in the presence of anti-PD-1 mAb exhibited better functional avidities than those amplified in the control condition with a difference in EC50 ranging from 2 to 15 for each tested function (Fig. 6 and Table 1), reaching statistical significance for Vß16 (IFNγ and CD107a) and Vß7.1 (CD107a) subfamilies from HD49 and for Vß7.2 (for the three tested functions) from HD52. Concerning patient P2, the Vß14 subpopulation (amplified in the presence of anti-PD-1 Ab and representing 78% of Melan-A-specific T cells) exhibited a slightly better EC50 than the other Vß families, only significant for IFNγ production (Fig. 6 and Table 1). Vß23-specific T lymphocytes specifically expanded from patient P3 in the presence of anti-PD-1 mAb also exhibited a significantly better EC50 than the Vß3 subpopulation expanded without anti-PD-1 for the three tested functions, and then Vß17 subpopulation for CD107a degranulation and TNF-a production. Finally, Vß20 lymphocytes, largely represented (85%) in the “anti-PD-1′ condition for patient P4, also had a significantly better EC50 than Vß14 (for the three functions) and Vß13.2 (for CD107a and TNF-α production) lymphocytes amplified in the control condition (Fig. 6 and Table 1).
Figure 5.
Amplification rates and Melan-A-specific T cell diversity in presence of anti-PD-1 blocking antibody. (A). Absolute number of Melan-A-specific T cells after the step of PBMC-peptide stimulation. 107 PBMC from HLA-A2 healthy donors and melanoma patients were stimulated in 96-well plates (2 × 105 cells/well) during 14 d with 1 μM of Melan-AA27Lpeptide, in presence of 10 μg/mL of anti-PD-1 Ab (hatched bars) or with 10 μg/mL of control IgG (white bars). At the end of the stimulation period, the absolute number of Melan-A-specific T cells was calculated from the total number of expanded T lymphocytes and the percentage of tetramer positive cells. (B). Analysis of the Vß repertoire of sorted and amplified Melan-A-specific T cells from stimulated PBMC. A panel of 24 anti-Vß antibodies was used. Empty histograms represent Melan-A-specific repertoire expanded in the control condition, and hatched histograms represent the repertoire amplified upon culture in the presence of anti-PD-1 Ab. Arrows indicate Vß subfamilies specifically amplified in one or the other of these two culture conditions, used for further analyses.
Table 1.
Proportion and EC50 of Melan-A-specific Vß subfamilies amplified in the two different culture conditions.
EC50 (pM)a
Condition
%b
IFNγ
TNF-α
CD107a
HD49
Vß16
anti-PD-1
6%
21**
7
15***
Vß7.1
anti-PD-1
7%
62
20
110***
Vß14
Control
28%
230
35
230
HD52
Vß7.2
anti-PD-1
33%
8**
0.4*
1.4*
Vß23
Control
19%
310
5
15
Patient P2
Vß14
anti-PD-1
78%
40*
7
7
Vß13.2
anti-PD-1
15%
110
16
12
Vß13.1
Control
86%
75
10
7
Patient P3
Vß23
anti-PD-1
16%
60
6
15
Vß17
Control
16%
100
43***
68***
Vß3
Control
28%
2500***
78***
206***
Patient P4
Vß20
anti-PD-1
85%
4
3
5
Vß14
Control
9%
70**
36***
110***
Vß13.2
Control
11%
8
7*
16***
aEC50 were determined after activation of Melan-A-specific T cell lines by T2 cells loaded with a range of Melan-AA27L peptide. The fraction of IFNγ, TNF-α and CD107apos cells among a specific Vß subfamily was evaluated by flow cytometry, by double labeling. bThe % indicates the proportion of each Vß subfamily among all Melan-A-specific T cells. Statistical analysis comparing LogEC50 of Vß subfamilies amplified with and without anti-PD-1 mAb was performed using PRISM software (one-way ANOVA analysis), followed by a Bonferroni's multiple comparison test.
p < 0.05;
p < 0.01;
p < 0.001.
Amplification rates and Melan-A-specific T cell diversity in presence of anti-PD-1 blocking antibody. (A). Absolute number of Melan-A-specific T cells after the step of PBMC-peptide stimulation. 107 PBMC from HLA-A2 healthy donors and melanomapatients were stimulated in 96-well plates (2 × 105 cells/well) during 14 d with 1 μM of Melan-AA27Lpeptide, in presence of 10 μg/mL of anti-PD-1 Ab (hatched bars) or with 10 μg/mL of control IgG (white bars). At the end of the stimulation period, the absolute number of Melan-A-specific T cells was calculated from the total number of expanded T lymphocytes and the percentage of tetramer positive cells. (B). Analysis of the Vß repertoire of sorted and amplified Melan-A-specific T cells from stimulated PBMC. A panel of 24 anti-Vß antibodies was used. Empty histograms represent Melan-A-specific repertoire expanded in the control condition, and hatched histograms represent the repertoire amplified upon culture in the presence of anti-PD-1 Ab. Arrows indicate Vß subfamilies specifically amplified in one or the other of these two culture conditions, used for further analyses.Functional avidities of the different Vß subfamilies specifically expanded in the two culture conditions. Avidities of specific Vß subfamilies amplified in the control condition (dotted lines) or in the presence of anti-PD-1 Ab (solid lines) were evaluated by measuring IFNγ (left panel), TNF-α production (middle panel) and CD107a membrane expression (right panel) in response to T2 cells loaded with a range of Melan-AA27L peptide, at an E:T ratio of 1:2. Cytokine production and CD107a membrane expression were evaluated by double staining with specific anti-Vß antibodies and intracellular or membrane labeling.Proportion and EC50 of Melan-A-specific Vß subfamilies amplified in the two different culture conditions.aEC50 were determined after activation of Melan-A-specific T cell lines by T2 cells loaded with a range of Melan-AA27L peptide. The fraction of IFNγ, TNF-α and CD107apos cells among a specific Vß subfamily was evaluated by flow cytometry, by double labeling. bThe % indicates the proportion of each Vß subfamily among all Melan-A-specific T cells. Statistical analysis comparing LogEC50 of Vß subfamilies amplified with and without anti-PD-1 mAb was performed using PRISM software (one-way ANOVA analysis), followed by a Bonferroni's multiple comparison test.p < 0.05;p < 0.01;p < 0.001.Taken together, these results strongly suggest that PD-1 blockade favors the expansion of PD-1pos specific T lymphocytes with higher avidity, probably because in the absence of PD-1 blocking Ab, PD-1 signaling inhibits the proliferation of such T lymphocytes.
Discussion
PD-1 has been largely described as a strong negative regulator of tumor-specific T cells, but also as a marker of activated effector T cells. As the induction of PD-1 after T cell activation is positively correlated with the strength of TCR signaling, we sought to explore the link between antigen T cell avidity and PD-1 expression. We documented for the first time the existence of melanoma-specific T cell clones constitutively unable to express PD-1, at rest and after activation. In these T cell clones, PD-1 expression was controlled at the transcriptional level by a stable methylation pattern of PD-1 gene promoter, that could not be overcome by stimulation (Figs 1 and 2). It has been previously demonstrated in chronic infection models, that PD-1 promoter methylation controls PD-1 expression after TCR activation. In PD-1hi HIV-specific CD8+ T cells, the low methylation rate of PD-1 promoter remained a stable feature, even when the viral load was controlled for long periods, suggesting that the epigenetic program at the PD-1 locus could determine PD-1 expression profile. Furthermore, it has been recently reported the upregulation of PD-1 expression on T cells from patients with myelodysplastic syndrome treated with hypomethylating agents. It has also been demonstrated that NFAT transcription factors regulate the expression of the PD-1 gene by direct binding to the PD-1 promoter, and so we expect that hypermethylation of the PD-1 promoter region should prevent NFAT fixation and subsequent gene transcription. In support of this hypothesis, a consensus NFAT binding sequence located between CpG positions 17 and 18, was consistently hypermethylated in PD-1neg T cell clones (Fig. 2D). Surprisingly, this marked difference in PD-1 expression between these two types of T cell clones was not associated with additional differences in the expression of other activation or exhaustion markers (Table S1). Indeed, it has been recently described in a model of PD-1 deficientmice, that the absence of PD-1 led to the accumulation of exhausted CD8+ T cells, in the context of chronic viral infection, with a shift toward a high expression of the transcription factor Eomes compared to T-bet. We did not observe either any difference in T-bet or Eomes expression between PD-1pos and PD-1negmelanoma-specific T cell clones (data not shown), suggesting that the absence of PD-1 on human memory T cell clones does not have the same impact than genetic PD-1 deficiency in the context of viral infection.From a functional perspective, reactivity of PD-1neg T cell clones was, as expected, not affected by PD-L1 expression on melanoma cell lines, but their global reactivity was lower than that of PD-1pos clones (Figs 3C and D). We further documented the higher avidity of PD-1pos T cell clones on T2 cells loaded with a range of specific peptides (Fig. 3E). These differences in functional avidities of PD-1pos and PD-1neg T cells naturally present in the periphery could be explained by positive and negative selection events. Indeed, since PD-L1 is expressed in the thymus, the interaction PD-1/PDL-1 shapes antigen-specific T cell repertoires. As demonstrated in a mouse model, the absence of PD-1 on thymocytes leads to the positive selection of low affinity thymocytes and to a greater deletion of high-affinity thymocytes by negative selection. In our model, we hypothesize that low-avidity PD-1negmelanoma-specific T cell clonotypes pass positive selection while high-avidity PD-1neg specific T cell clonotypes are eliminated by negative selection. Accordingly, the endogenous PD-1neg specific T cell repertoire for any given antigen should be of lower avidity than the PD-1pos repertoire. In order to strengthen these observations and to exclude any artifactual mechanisms due to the step of peptide stimulation of PBMC, we looked for PD-1neg T cell clones derived from melanoma TILs. We both confirmed the presence within melanoma TIL of Melan-A-specific T cell clones unable to express PD-1, and that these T cell clones exhibited a lower functional avidity than their PD-1pos counterparts.We thus investigated the impact of PD-1 blockade during the production process of Melan-A-specific T cells, on repertoire diversity and T cell avidity. We first reported the benefit of blocking PD-1 signalization during the peptide stimulation step on the amplification rate of specific T cells (Fig. 5A). Such an increase in the amplification of melanoma-specific T cells resulting from blocking PD-1 signalization had been previously described on the in vitro expansion of Melan-A and gp100-specific T lymphocytes, derived from melanomapatient blood. To go further, we investigated whether this increased proliferation concerned the whole Melan-A repertoire or only specific T cell clonotypes. Starting from two healthy donors and three melanomapatients, we showed that Melan-A-specific T cell repertoire was clearly biased by the use of anti-PD-1 Ab in vitro (Fig. 5B). Therefore, blocking PD-1 signalization not only increased the amplification of Melan-A-specific T cells but also shaped this specific repertoire. We further showed that the avidity of specific clonotypes amplified with anti-PD-1 Ab was better than those of clonotypes amplified in the control condition (Fig. 6). This suggests that PD-1 blocking preferentially favors the amplification of high-avidity-specific T cells, which naturally express high levels of PD-1 upon activation and whose proliferation is inhibited by PD-1 signaling in standard conditions. These results are consistent with previous studies reporting that melanoma reactive TIL were enriched in PD-1pos CD8+ T lymphocytes, and that PD-1, in addition to its inhibitory functions, could be a useful biomarker to identify tumor-specific T cell repertoire in melanoma, including mutated neoantigen-specific CD8+ lymphocytes. Our findings strengthen the hypothesis that PD-1 expression is a robust marker for highly reactive specific T lymphocytes. Furthermore, as PD-1 blockade favors the expansion of highly reactive T cells in vitro, the same phenomenon probably occurs in vivo, as strongly suggested by a recent study that showed that therapeutic efficacy of PD-1 blockade required pre-existing CD8+ PD-1+ T cells inhibited by PD-1/PD-L1 signaling. Thus, we reckon that the immune-follow-up of anti-PD-1-treated patients should include investigating changes in antigen specific repertoire diversity and avidity during the course of the treatment, in addition to the search for neo-antigen-specific T cells potentially associated with a high tumor mutation rate.Globally these results provide new insights about the molecular mechanisms regulating PD-1 expression in melanoma-specific T cell clones and about the dual role of PD-1 in modulating the diversity and functions of an antigen-specific T cell repertoire. This also offers new prospects for monitoring immune responses of cancerpatients treated with anti-PD-1 antibody and for the selection of optimal effector T cells for adoptive cell transfer treatments.
Material and Methods
PBMC and cell lines
PBMC were isolated from healthy HLA-A2 donors (Etablissement Français du Sang (EFS), Nantes, France) or from metastatic melanomapatients (Unit of Skin Cancer, Nantes hospital) after written informed consent (Nantes ethic committee, approval number: DC-2011-1399).The melanoma cell line M113 was established from metastatic tumor fragments in the Unit of Cell therapy of Nantes and are registered in the Biocollection PC-U892-NL (CHU Nantes).The humanTAP deficient cell line T2 (174 × CEM.T2) used as a presenting cell was purchased from the ATCC (CRL-1992). M113 and T2 cell lines stably expressing humanPD-L1 were established upon transfection with an eukaryotic expression vector (pCDNA3) bearing humanPD-L1 gene (NM 14143.2, Sino Biological, HG10084-UT), using lipofectamine, according to the manufacturer's recommendation (Life technologies, 15338100). Stable transfectants expressing PD-L1 were selected and cultured in medium containing 0.8 μg/mL of G418 antibiotic.
Peptide stimulation of PBMC
PBMC were seeded in 96 well/plates at 2 × 105 cells/well in RPMI 1640 medium supplemented with 8% human serum (HS), 50 IU/mL of IL-2 (Proleukin, Novartis) and 10 μg/mL of either anti-PD-1 Ab (Clone EH12.2H7, Biolegend, 329912) or IgG1 control istotype (Biolegend, 401404). PBMC were stimulated with 1 μM of Melan-AA27L peptide (ELAGIGILTV) or 10 μM of MELOE-136-44 peptide (TLNDECWPA) purchased from Proteogenix. Following stimulation, each microculture was evaluated for the percentage of specific CD8+ T lymphocytes by double staining with the relevant HLA-peptide tetramer (from the SFR Sante recombinant protein facility) and anti-CD8 mAb (clone BW135/80, Miltenyi Biotec) using a FACS Canto HTS. Microcultures that contained at least 1% of specific T cells were selected, pooled and sorted with the relevant multimer-coated beads.
Sorting, amplification and cloning of specific T cells
Sorting and amplification of Melan-A and MELOE-1-specific T cells was performed as previously described. To isolate and expand Melan-A and MELOE-1-specific T cell clones from specific sorted T cells, we used a limiting dilution cloning method previously described. Melan-A and MELOE-1-specific T cell clones, from microcultures showing greater than 95% probability of monoclonality according to the single-hit Poisson law, were selected on the basis on specific tetramer labeling.
T cell clones from melanoma TIL
Melan-A-specific T cell clones were derived from two melanoma TIL populations by limiting dilution, as previously described, and clonality was attested by sequencing of TCR α and β chains.
Activation of antigen-specific T cells
Phenotypic and functional analyses were performed on resting or activated T cells. Antigen-specific T cells were activated 6 h in 96-well plates with either coated anti-CD3 Ab (clone OKT3, CRL-8001, ATCC) at 1µg/mL, addition of 1 μM of Melan-AA27L peptide (ELAGIGILTV) or 10 μM of MELOE-136-44 peptide (TLNDECWPA), co-culture with the M113 melanoma cell line at two effector/target ratios (1/1 and 1/2) or with addition of 1 μg/mL of phorbol myristate acetate and calcium ionophore (PMA-CaI, Sigma P8139 and I3909).
Phenotype and Vß repertoire of specific T cells
Phenotypic characterization on resting T cell clones was performed on 105 T cells labeled with MELOE-1 and Melan-A tetramers (10 μg/mL) (Recombinant protein facility, SFR Santé, Nantes, France), anti-CD8 (clone BW135/80, Miltenyi Biotec), anti-CD45RO (clone UCHL1, BD Biosciences), anti-CD27 (clone M-T271, BD Biosciences), anti-CD28 (clone CD28.2, BD Biosciences), anti-CD62L (clone DREG-56, BD Biosciences), anti-PD-1 (clone EH12, BD Biosciences), anti-CTLA-4 (clone BNI3, Miltenyi Biotec), anti-BTLA (clone J168–540, BD Biosciences), anti-Tim-3 (clone F38–2E2, eBiosciences) and anti-CD95 (clone DX2, BD Biosciences) specific antibodies. PD-1 expression (Clone EH12, BD Biosciences) was tested on specific T cell clones or sorted T cells at rest and after activation by quadruple labeling with specific tetramers, anti-CD8 and anti-CD25 (clone M-A251, BD Biosciences), as activation marker. All the antibodies were used at a concentration of 5 μg/mL. Vß diversity of sorted Melan-A-specific T cell lines was analyzed by labeling with 24 anti-Vß mAbs included in the IOTest Beta Mark TCR V Kit (Beckman-Coulter, IM3497). All the cytometric analyses were performed on a Facs Canto II (BD Biosciences).
Real-time PCR
Total RNA was extracted from antigen-specific T cells using NucleoSpin RNA II kit (Macherey-Nagel, France). 1 μg of total RNA was retrotranscribed using SuperScript III reverse transcriptase and oligodT (Thermo Fisher Scientific, 18080–044 and 18418–020). Relative quantification of PD-1 and housekeeping genes RPLPO and Cyclophilin-A (Table S2) was performed using brilliant SYBR Green qPCR with an Mx4000 machine (Agilent Technologies). PD-1-specific primers were purchased from Qiagen (catalog number PPH13086G). Thermal cycling was one step at 95°C for 10 min, followed by 40 cycles at 95°C for 30 s and 60°C for 1 min. Duplicate series of 10-fold-diluted cDNA from the Melan-A-specific T cell clone HA1 at rest were used to calculate the efficiency of PCR reaction. Mean threshold cycle (CT) values from duplicate PCR reactions were normalized to mean CT values for the two housekeeping genes from the same cDNA preparations. The relative expression ratio of PD-1 gene was calculated based on the PCR efficiency (E) and the CT deviation between a given cell sample (x) and a reference cell sample (calibrator: HA1 resting T cell clone), expressed in comparison with the mean of the housekeeping genes: ratio = (E target) Δ CT target (calibrator - x)/mean ((E housekeeping) Δ CT housekeeping (calibrator - x)).
Methylation status analyses
DNA from specific T cells was extracted using QiaAmp DNA mini kit (Qiagen, France). Methyl-Collector Bisulfite modification kit (Active Motif, 55016) was used for DNA conversion. DNA converted samples were amplified by two successive PCR with specific primers (Table S2). Thermal cycles for PCR1 were one step at 95°C for 5 min, followed by 20 cycles at 95°C for 30 s, 63°C for 2 min and 72°C for 1 min 30 s. Thermal cycles for PCR2 were one step at 95°C for 5 min, followed by 20 cycles at 95°C for 30 s, 57°C for 1 min and 72°C for 1 min 30 s. Amplimers were cloned into pSC-B-Amp/Kan vector (Agilent Technologies, 240207) and a minimum of 12 clones for each sample were sequenced (Eurofins scientific).
Specific T cell avidity and reactivity
IFNγ secretion of activated T cells was measured by a specific ELISA assay (HumanIFN gamma ELISA Ready-SET-Go, eBioscience, 88-7316-88), after 6 h of activation with either M113 and M113-PD-L1pos melanoma cell line or T2 cell line and its T2-PD-L1 transfected counterpart, loaded with 10µM of MELOE-136-44 peptide. The relative avidity of T cell clones and sorted T cells was measured by intracellular IFNγ and TNF-α production and CD107a membrane expression, in response to T2 cells loaded with a range of specific peptides (E/T ratio 1/2). After a 6-h-stimulation period with peptide-loaded T2 cells, in presence of brefeldin A at 10 μg/mL (Sigma, B7651), T cells were labeled with PE-conjugated specific anti-Vß antibodies (Beckman Coulter) and fixed with PBS 4% paraformaldehyde (VWR, 100504–858). Lymphocytes were then stained for cytokine production using APC conjugated anti-TNF-α (clone cA2, Miltenyi Biotec) and anti-IFNγ (clone 45–15, Miltenyi Biotec). Concerning CD107a labeling, specific T cells were stimulated at a E/T ratio of 1/2 with peptide loaded T2 cells for 4 h at 37°C in the presence of APC-conjugated mAb specific for CD107a (clone H4A3, BD Biosciences). T cells were then stained with selected anti-Vß antibodies (Beckman coulter) and analyzed by flow cytometry.
Statistical analyses
Statistical analyses were conducted to compare the percentages of global methylation of the 23 CpG dinucleotides of the PD-1 regulatory region, between PD-1pos and PD-1neg T cell clones (at least 33 sequences analyzed in each group), and PD-1pos and PD-1negMelan-A-specific sorted T cells (at least 12 sequences analyzed in each group). These analyses were performed using a non-parametric Mann–Whitney t test, with two-tailed p value. We performed statistical analyses for the comparisons of EC50 for T cell clones and Melan-A-specific Vß subfamilies derived from stimulated PBMC. Log EC50 for each pair of clones were compared using the extra sum-of-squares F test. When more than two populations were compared (M180 TIL clones and Vß subfamilies amplified in the two culture conditions), we used a one-way ANOVA analysis, followed by a Bonferroni's multiple comparison test. All these analyses were performed using PRISM software.
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Authors: Y Kawakami; S Eliyahu; C H Delgado; P F Robbins; L Rivoltini; S L Topalian; T Miki; S A Rosenberg Journal: Proc Natl Acad Sci U S A Date: 1994-04-26 Impact factor: 11.205
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