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Research Articles

Self-Maintaining CD103+ Cancer-Specific T Cells Are Highly Energetic with Rapid Cytotoxic and Effector Responses

Megat Abd Hamid, Huw Colin-York, Nasullah Khalid-Alham, Molly Browne, Lucia Cerundolo, Ji-Li Chen, Xuan Yao, Samara Rosendo-Machado, Craig Waugh, David Maldonado-Perez, Emma Bowes, Clare Verrill, Vincenzo Cerundolo, Christopher P. Conlon, Marco Fritzsche, Yanchun Peng and Tao Dong
Megat Abd Hamid
1Chinese Academy of Medical Sciences (CAMS) Oxford Institute, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
2Medical Research Council (MRC) Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
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  • ORCID record for Megat Abd Hamid
Huw Colin-York
2Medical Research Council (MRC) Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
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Nasullah Khalid-Alham
3Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
4Oxford National Institute of Health Research (NIHR) Biomedical Research Centre, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom.
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Molly Browne
5Nuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom.
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Lucia Cerundolo
5Nuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom.
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  • ORCID record for Lucia Cerundolo
Ji-Li Chen
2Medical Research Council (MRC) Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
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Xuan Yao
1Chinese Academy of Medical Sciences (CAMS) Oxford Institute, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
2Medical Research Council (MRC) Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
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Samara Rosendo-Machado
2Medical Research Council (MRC) Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
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Craig Waugh
6Flow Cytometry Facility, Weatherall Institute of Molecular Medicine, University of Oxford, Oxford, United Kingdom.
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David Maldonado-Perez
5Nuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom.
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Emma Bowes
5Nuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom.
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Clare Verrill
4Oxford National Institute of Health Research (NIHR) Biomedical Research Centre, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom.
5Nuffield Department of Surgical Sciences, University of Oxford, John Radcliffe Hospital, Oxford, United Kingdom.
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Vincenzo Cerundolo
1Chinese Academy of Medical Sciences (CAMS) Oxford Institute, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
2Medical Research Council (MRC) Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
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Christopher P. Conlon
1Chinese Academy of Medical Sciences (CAMS) Oxford Institute, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
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Marco Fritzsche
2Medical Research Council (MRC) Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
7Kennedy Institute of Rheumatology, University of Oxford, Oxford, United Kingdom.
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Yanchun Peng
1Chinese Academy of Medical Sciences (CAMS) Oxford Institute, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
2Medical Research Council (MRC) Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
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Tao Dong
1Chinese Academy of Medical Sciences (CAMS) Oxford Institute, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom.
2Medical Research Council (MRC) Human Immunology Unit, MRC Weatherall Institute of Molecular Medicine, Radcliffe Department of Medicine, University of Oxford, Oxford, United Kingdom.
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  • For correspondence: tao.dong@imm.ox.ac.uk
DOI: 10.1158/2326-6066.CIR-19-0554 Published February 2020
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    Figure 1.

    TGFβ1 self-dependency of CD103+ cancer-specific T cells. A, TGFβ1 production by either CD103+ or CD103− T cells following coculture with HCT116 cells and 1 μmol/L antigen or HCT116 cells alone (N, number of repeats = 3). B, TGFβ1 production by either CD103+ or CD103− T cells following coculture with HCT116 cells with either no treatment, isotype treatment, or anti-CD103 treatment. SSX-2–specific T-cell clones (left) and NY-ESO-1–specific T-cell clones (right; N, number of repeats = 3). C, Representative flow cytometry dot plots of TGFβ1-expressing CD103+ or CD103−CD8+ cells specific for SSX-2 following coculture with HCT116 and 1 μmol/L antigen (N, number of repeats = 3). D, Proportion of TGFβ1+ CD103+ or CD103− T cells following coculture with HCT116 cell and1 μmol/L antigen or anti-CD3/CD28 (N, number of repeats = 3). E, Flow cytometry plots of membranous TGFβ1 and membranous β8 expression on either CD103+ or CD103− T cells at 2, 6, and 12 hours after coculture with 1 μmol/L SSX-2 antigen–stimulated HCT116 cells (N, number of repeats = 3). F, Frequency of β8+CD103+ or CD103− T cells after coculture with 1 μmol/L SSX-2 antigen–stimulated HCT116 cells across 12 hours (N, number of repeats n = 3). Data, median ± SEM. *, P < 0.05; **, P < 0.01; ***, P < 0.001; ns, not significant. P values were calculated using either one-way ANOVA with Tukey post hoc analysis or paired Student t test with Wilcoxon adjustments.

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    Figure 2.

    Tumor antigen sensitivity of CD103+ cancer-specific T cells. Proportion of CD103+ IFNγ+ T cells (A) and CD107a+ T cells (B) with either anti-CD103 blocking treatment, isotype control treatment, or no treatment following coculture with HCT116 cells at five different concentrations of antigen. SSX-2 (left) and NY-ESO-1 (right) CD103− T cells with no treatment also shown (N, number of repeats = 3). C, Proportion of lysed HCT116 cancer cells following coculture with either CD103+ T cells left untreated or treated with anti-CD103 or isotype at five different antigen concentrations. CD103− T cells with no treatment also shown (N, number of repeats = 3). D, Proportion of CD103+CD107a+ SSX-2–specific T cells following coculture with either E-Cadherin+ HCT116 cells or E-Cadherin− THP-1 cells at five different concentrations of antigen (N, number of repeats = 3). E, Proportion of cancer cell death following coculture with either E-Cadherin+ HCT116 cells or E-Cadherin− THP-1 cells at five different concentrations of antigen. A–C, Data, median ± SEM. *, P < 0.05; **, P < 0.01; ***, P < 0.001. P values were calculated using two-way ANOVA with Tukey post hoc analysis.

  • Figure 3.
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    Figure 3.

    Mechanism of CD103+ cancer-specific T-cell cytotoxicity. A, Confocal imaging time lapse of 1 μg SSX-2 antigen–loaded HCT116 cancer cells cocultured either CD103+ (top) or CD103− (bottom) SSX-2–specific T cells labeled with Fluo4-AM for calcium staining. Close-up images showing brightfield (top), Fluo4-AM stain (middle), and merged (bottom). Fluo4-AM calcium staining shown in red. Scale bar, 10 μm. Blue dotted box indicates zoomed imaged area at a magnification of 25×. B, Amount of time (in seconds) required for the first instance of 1 μg SSX-2 antigen–loaded HCT116 cancer cells cocultured with either CD103+ (top) or CD103− (bottom) SSX-2–specific T cells. N1, number of events collected for CD103+ T cells: 29; N2, number of events collected for CD103− T cells: 29 (N, number of repeats = 3; at 95th percentile). C, Confocal imaging time-lapse 1 μg SSX-2 antigen–loaded HCT116 cancer cells cocultured with either CD103+ (top) or CD103− (bottom) SSX-2–specific T cells labeled with Annexin V. Close-up images showing brightfield (top), Annexin V (middle), and merged (bottom) at 3, 4, 5, 6, 9, and 12 hours after coculture. Annexin V staining shown in blue. Scale bar, 10 μm. Blue dotted box indicates zoomed imaged area at a magnification of 25×. D, Normalized Annexin V intensity representing HCT116 cell death across a 12-hour time period following 1 μg SSX-2 antigen–loaded HCT116, and cocultured with either CD103+ (top) or CD103− (bottom) SSX-2–specific T cells. A close-up detailing 2- to 8-hour coculture (N, number of repeats = 3) is also shown. E, Percentage of HCT116 cell death across a 12-hour time period following 1 μg SSX-2 antigen–loaded HCT116, and cocultured with either CD103+ (top) or CD103− (bottom) SSX-2–specific T cells (N, number of repeats = 3). Data, median ± SEM. *, P < 0.05; **, P < 0.01; ***, P < 0.001. P values were calculated using either paired Student t test with Wilcoxon adjustments, one-way ANOVA, or two-way ANOVA with Tukey post hoc analysis.

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    Figure 4.

    Metabolic activities of CD103+ cancer-specific T cells. A, The ECAR of antigen-stimulated CD103+ or CD103− T cells across an 80-minute period. SSX-2 (left) and NY-ESO-1 (right; N, number of repeats = 3). Injection of glucose, oligomycin, and 2-DG into cells is indicated. The ECAR of basal glycolytic capacity (B) and the maximal glycolytic capacity (C) of antigen-stimulated CD103+ or CD103− T cells (N, number of repeats = 3). D, The OCR of antigen-stimulated CD103+ or CD103− T cells across an 80-minute period. SSX-2 (left) and NY-ESO-1 (right; N, number of repeats = 3). Injection of oligomycin, FCCP, and rotenone/antimycin A into cells is indicated. The OCR at basal respiration stage (E) and the spare respiratory capacity (F) of antigen-stimulated CD103+ or CD103− T cells (N, number of repeats = 3). Data, median ± SEM. *, P < 0.05; **, P < 0.01; ***, P < 0.001. P values were calculated using either paired Student t test with Wilcoxon adjustments, one-way ANOVA, or two-way ANOVA with Tukey post hoc analysis.

  • Figure 5.
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    Figure 5.

    CD103 expression on T cells enables faster migration and homing. A, The number of CD103+ or CD103− SSX-2–specific T cells that migrated across a transwell membrane toward HCT116 cells, over a time period of 2 hours, at an E:T ratio of 1:4. SSX-2–specific T-cell clones shown on the left and NY-ESO-1–specific T clones shown on the right (N, number of repeats = 3). B, The number of CD103+ or CD103− T cells that migrated across a transwell membrane after 60 minutes with or without anti-CD103 blocking treatment. SSX-2–specific T-cell clones shown on the left and NY-ESO-1–specific T clones shown on the right (N, number of repeats = 3). Data, median ± SEM. *, P < 0.05; **, P < 0.01; ***, P < 0.001; ns, not significant. P values were calculated using either one-way or two-way ANOVA with Tukey post hoc analysis.

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    Figure 6.

    CD103+ CD8+ TILs localize on E-Cadherin–rich tumors. A, Proportion of CD103+CD8+ T cells (left) or CD103−CD8+ T cells (right) present either within, clustering around, or distal from E-cadherin+ cells (N, number of patients = 5; at 95th percentile). B, Density (by μm2) of CD103+CD8+ T cells (left) or CD103−CD8+ stained cells (right) present either within, clustering around, or distal from E-cadherin+ cells (N, number of patients = 5). Data, median ± SEM. *, P < 0.05; **, P < 0.01; ***, P < 0.001; ns, not significant. P values were calculated using one-way ANOVA with Tukey post hoc analysis.

  • Figure 7.
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    Figure 7.

    Ex vivo CD103+ TIL phenotype and in vitro analysis of T-cell death. A, Representative flow cytometry contour plots of CD39 and CD103 expression on total CD8+ TILs derived from either tumor or paratumor tissues (left and middle), with graph showing the frequency of CD8+ TILs coexpressing CD39 and CD103 across 5 different lung cancer patients (N, number of patients = 5; at 95th percentile). B, Representative tSNE plots identifying total CD3+, CD8+, and CD4+ TILs (top); CD103+CD39high, CD103+CD39low, CD103+CD39−, and total CD103−CD8+ TILs (middle); and PD-1–, Tim3-, TIGIT-, and NKG2A-expressing TILs. C, Proportion of PD-1+TIGIT+Tim3+NKG2A− cells in CD103+CD39high, CD103+CD39low, CD103+CD39−, or total CD8+ TILs derived from paired tumor and paratumor (N, number of patients = 5; at 95th percentile). D, Proportion of PD-1+TIGIT+Tim3−NKG2A− cells in CD103+CD39high, CD103+CD39low, CD103+CD39−, or total CD8+ TILs derived from paired tumor and paratumor (N, number of patients = 5; at 95th percentile). The proportion of activated caspase-3+ T cells (E) and T-cell death (F) following coculture with HCT116 (that was loaded with 1 μg SSX-2 antigen) across a time period of 12 hours (N, number of repeats = 3). In A, C, D, E, and F, data, median ± SEM. *, P < 0.05; **, P < 0.01; ***, P < 0.001. P values were calculated using either one-way or two-way ANOVA with Tukey post hoc analysis.

Additional Files

  • Figures
  • Supplementary Data

    • Supplementary Figures 1-7 and Supplementary Tables 1-2 - Supplementary Figures and Tables
    • Movie S1 - Movie S1 shows CD103+ T cell killing HCT116 cancer cell, in brighfield imaging.
    • Movie S2 - Movie S2 shows CD103+ T cell killing HCT116 cancer cell, by calcium flux imaging.
    • Movie S3 - Movie S3 shows CD103- T cell killing HCT116 cancer cell, in brighfield imaging.
    • Movie S4 - Movie S4 shows CD103- T cell killing HCT116 cancer cell, by calcium flux imaging.
    • Supplementary Movie Titles and Legends - Titles and Legends for Movies 1-4
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Cancer Immunology Research: 8 (2)
February 2020
Volume 8, Issue 2
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Self-Maintaining CD103+ Cancer-Specific T Cells Are Highly Energetic with Rapid Cytotoxic and Effector Responses
Megat Abd Hamid, Huw Colin-York, Nasullah Khalid-Alham, Molly Browne, Lucia Cerundolo, Ji-Li Chen, Xuan Yao, Samara Rosendo-Machado, Craig Waugh, David Maldonado-Perez, Emma Bowes, Clare Verrill, Vincenzo Cerundolo, Christopher P. Conlon, Marco Fritzsche, Yanchun Peng and Tao Dong
Cancer Immunol Res February 1 2020 (8) (2) 203-216; DOI: 10.1158/2326-6066.CIR-19-0554

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Self-Maintaining CD103+ Cancer-Specific T Cells Are Highly Energetic with Rapid Cytotoxic and Effector Responses
Megat Abd Hamid, Huw Colin-York, Nasullah Khalid-Alham, Molly Browne, Lucia Cerundolo, Ji-Li Chen, Xuan Yao, Samara Rosendo-Machado, Craig Waugh, David Maldonado-Perez, Emma Bowes, Clare Verrill, Vincenzo Cerundolo, Christopher P. Conlon, Marco Fritzsche, Yanchun Peng and Tao Dong
Cancer Immunol Res February 1 2020 (8) (2) 203-216; DOI: 10.1158/2326-6066.CIR-19-0554
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