Abstract
The T cell infiltrates that are formed in human cancers are a modifier of natural disease progression and also determine the probability of clinical response to cancer immunotherapies. Recent technological advances that allow the single-cell analysis of phenotypic and transcriptional states have revealed a vast heterogeneity of intratumoural T cell states, both within and between patients, and the observation of this heterogeneity makes it critical to understand the relationship between individual T cell states and therapy response. This Review covers our current knowledge of the T cell states that are present in human tumours and the role that different T cell populations have been hypothesized to play within the tumour microenvironment, with a particular focus on CD8+ T cells. The three key models that are discussed herein are as follows: (1) the dysfunction of T cells in human cancer is associated with a change in T cell functionality rather than inactivity; (2) antigen recognition in the tumour microenvironment is an important driver of T cell dysfunctionality and the presence of dysfunctional T cells can hence be used as a proxy for the presence of a tumour-reactive T cell compartment; (3) a less dysfunctional population of tumour-reactive T cells may be required to drive a durable response to T cell immune checkpoint blockade.
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Acknowledgements
The authors thank Y. Lubling and M. Logtenberg for input and insightful discussions. This work was supported by ERC AdG SENSIT to T.N.S. and the Dutch Cancer Society Bas Mulder Award to D.S.T.
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A.M.v.d.L researched data for the article. A.M.v.d.L, D.S.T. and T.N.S. jointly discussed data and co-wrote the article.
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Glossary
- Tumour-specific T cell reactivity
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The capacity of a T cell to recognize tumour cells, regardless of its ability to perform effector function.
- Single-cell RNA sequencing
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Gene expression profiling method that allows unbiased transcriptome analysis of individual cells.
- Clonotype
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The unique T cell receptor (TCR) sequence formed by both the TCR α-chain and the TCR β-chain.
- Predictive biomarkers
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Certain measurements (for example, T cell count or expression level of a marker gene) to make a risk estimate of the response of a patient to therapy.
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van der Leun, A.M., Thommen, D.S. & Schumacher, T.N. CD8+ T cell states in human cancer: insights from single-cell analysis. Nat Rev Cancer 20, 218–232 (2020). https://doi.org/10.1038/s41568-019-0235-4
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DOI: https://doi.org/10.1038/s41568-019-0235-4
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