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E-Poster Display

1947P - Single cell analysis reveals that CD8+ T cell clone size determines response to immune checkpoint blockade

Date

17 Sep 2020

Session

E-Poster Display

Topics

Translational Research

Tumour Site

Presenters

Robert Watson

Citation

Annals of Oncology (2020) 31 (suppl_4): S1034-S1051. 10.1016/annonc/annonc294

Authors

R. Watson1, O. Tong1, I. Nassiri2, R.A. Cooper3, C. Taylor3, A. Verge de los Aires1, M. Middleton4, B.P. Fairfax5

Author affiliations

  • 1 Oncology, The MRC Weatherall Institute of Molecular Medicine Oxford, OX3 9DS - Oxford/GB
  • 2 The Mrc Weatherall Institute Of Molecular Medicine, University of Oxford, OX3 9DS - Oxford/GB
  • 3 Department Of Oncology, The MRC Weatherall Institute of Molecular Medicine Oxford, OX3 9DS - Oxford/GB
  • 4 Department Of Oncology, University of Oxford, OX3 7DQ - Oxford/GB
  • 5 Department Of Oncology, The MRC Weatherall Institute of Molecular Medicine, OX3 9DS - Oxford/GB

Resources

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Abstract 1947P

Background

Immune checkpoint blockers (ICB) have markedly improved survival in patients with metastatic melanoma (MM). However, clinical response remains highly variable and peripheral biomarkers are lacking. CD8+ T cells are a key cellular subset mediating the effect of ICB and previous work has demonstrated that the presence of large CD8+ T cell clones in the peripheral blood (>0.5% of the total repertoire) is associated with positive clinical outcomes. We sought to further characterise and explore the clonal characteristics of the peripheral CD8+ T cell response to ICB at a single-cell level.

Methods

Single cell transcriptome and V(D)J sequencing was performed on CD8+ T cells isolated from the peripheral blood of patients undergoing ICB treatment for MM (n=8) at baseline and 21 days post-treatment. Dimensionality reduction and trajectory inference were subsequently employed to identify and understand the effects of treatment on cellular subpopulations.

Results

We identified 7 subsets of CD8+ T cells, defined by distinctive phenotypes. ICB had a heterogenous effect across these subsets, with the greatest and most unique gene expression changes in the effector and effector memory subsets. Such changes were more marked in larger (>0.5% of repertoire) than smaller clones. By grouping cells based on clonal size, we identify that the effects of ICB vary as a function of clonal size, with clones between 0.5-1% of the repertoire having quantitatively fewer, but qualitatively more relevant, gene expression changes than either hyper-expanded (>2%) or small (<0.1%) clones. Further, ICB had a differential effect on clones that expand following treatment, than those that contract, with expanding clones having both a greater magnitude and qualitatively more relevant gene expression changes than contracting clones. Taken together, we describe a discrete subset of cells which uniquely respond to ICB.

Conclusions

We identify that all cells are not equally affected by ICB, but a subset defined by clonal size and clonal behaviour demonstrate a marked and distinctive response, potentially representing a key cellular target of therapy. This work will aid the search for a prognostic biomarker and further advances understanding of the molecular mechanisms of ICB.

Clinical trial identification

Editorial acknowledgement

Legal entity responsible for the study

The authors.

Funding

The Wellcome Trust; Cancer Research UK; National Institute for Health Research; Biomedical Research Council.

Disclosure

All authors have declared no conflicts of interest.

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