bioRxivImmunologyPreprint
Deep sequencing of the T cell Receptor reveals common and reproducible CD8+ signatures of response to checkpoint immunotherapy
R. A. Watson, C. Taylor, O. Tong, R. A. Cooper, E. Jungkurth, P. Kumar Sharma, B. Storey, W. Ye, B. Sun, A. de los Aires, F. Matos Santo, I. Nassiri, J. Gilchrist, E. Ieremia, M. R. Middleton, B. P. Fairfax
Abstract
Immune checkpoint blockade (ICB) has markedly improved outcomes across a range of tumours, including metastatic melanoma (MM). However, peripheral biomarkers of response remain lacking and underlying mechanisms of action incompletely described. A number of studies have demonstrated the value of T cell receptor (TCR) repertoire analysis in determining associations with response, however identifying key groups of T cells based on their TCR usage has remained elusive. Here we performed deep sequencing of the TCR of CD8+ T cells isolated from peripheral blood of patients receiving ICB for MM (n=91) at multiple time points, along with healthy control samples (n=42) and resected tumour specimens (from n=7 patients). Using the GLIPH2 algorithm to cluster TCR based on putative shared antigen specificity, we describe groups of TCR which expand post-ICB in responding patients which we term Emergent Responder (ER) clones. We find that these ER clones are typically large and of a memory phenotype, with increased expression of genes encoding cytotoxic proteins. Analysis of tumours resected in advance of ICB demonstrates ER clones are enriched and expanded within the tumour compared to the periphery at pre-treatment. Significantly, we note the proportion of the peripheral repertoire occupied by ER clones strongly correlates with long-term clinical response. Clinical outcome further associated with HLA type and, crucially, can be validated across replication and independent datasets. This work provides the first-in-kind description of TCR-defined CD8+ T cells that mediate the response to ICB in MM, demonstrating the prognostic utility of the peripheral immune repertoire with potential widespread therapeutic and prognostic applications.
- organism: human
- assay: scRNA-seq
- research focus: cell type annotation
- research focus: differential expression
- research focus: gene regulatory network inference
- research focus: cell-cell communication
- approach: deep learning
- approach: statistical model
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