Murdoch University Research Repository

Welcome to the Murdoch University Research Repository

The Murdoch University Research Repository is an open access digital collection of research
created by Murdoch University staff, researchers and postgraduate students.

Learn more

Characteristics of TCR repertoire associated with successful immune checkpoint therapy responses

Kidman, J., Principe, N., Watson, M.ORCID: 0000-0002-6438-9225, Lassmann, T., Holt, R.A., Nowak, A.K., Lesterhuis, W.J., Lake, R.A. and Chee, J. (2020) Characteristics of TCR repertoire associated with successful immune checkpoint therapy responses. Frontiers in Immunology, 11 . Art. 587014.

[img]
Preview
PDF - Published Version
Download (734kB) | Preview
Free to read: https://doi.org/10.3389/fimmu.2020.587014
*No subscription required

Abstract

Immunotherapies have revolutionized cancer treatment. In particular, immune checkpoint therapy (ICT) leads to durable responses in some patients with some cancers. However, the majority of treated patients do not respond. Understanding immune mechanisms that underlie responsiveness to ICT will help identify predictive biomarkers of response and develop treatments to convert non-responding patients to responding ones. ICT primarily acts at the level of adaptive immunity. The specificity of adaptive immune cells, such as T and B cells, is determined by antigen-specific receptors. T cell repertoires can be comprehensively profiled by high-throughput sequencing at the bulk and single-cell level. T cell receptor (TCR) sequencing allows for sensitive tracking of dynamic changes in antigen-specific T cells at the clonal level, giving unprecedented insight into the mechanisms by which ICT alters T cell responses. Here, we review how the repertoire influences response to ICT and conversely how ICT affects repertoire diversity. We will also explore how changes to the repertoire in different anatomical locations can better correlate and perhaps predict treatment outcome. We discuss the advantages and limitations of current metrics used to characterize and represent TCR repertoire diversity. Discovery of predictive biomarkers could lie in novel analysis approaches, such as network analysis of amino acids similarities between TCR sequences. Single-cell sequencing is a breakthrough technology that can link phenotype with specificity, identifying T cell clones that are crucial for successful ICT. The field of immuno-sequencing is rapidly developing and cross-disciplinary efforts are required to maximize the analysis, application, and validation of sequencing data. Unravelling the dynamic behavior of the TCR repertoire during ICT will be highly valuable for tracking and understanding anti-tumor immunity, biomarker discovery, and ultimately for the development of novel strategies to improve patient outcomes.

Item Type: Journal Article
Murdoch Affiliation: Institute for Immunology and Infectious Diseases
Publisher: Frontiers Media
Copyright: © 2020 The Authors.
United Nations SDGs: Goal 3: Good Health and Well-Being
URI: http://researchrepository.murdoch.edu.au/id/eprint/58556
Item Control Page Item Control Page

Downloads

Downloads per month over past year