Unraveling T-cell Exhaustion: Genetic Screening Meets In Vitro Modeling

Author:

Schmid Dominic12ORCID,Auf der Maur Priska34ORCID,Trefny Marcel P.5ORCID,Zippelius Alfred12ORCID

Affiliation:

1. 1Department of Biomedicine, Laboratory Cancer Immunology, University of Basel, Basel, Switzerland.

2. 2Medical Oncology, University Hospital Basel, Basel, Switzerland.

3. 3Department of Medicine III, Klinikum Rechts der Issar, Technical University of Munich, Munich, Germany.

4. 4TranslaTUM, Center for Translational Cancer Research, Technical University of Munich, Munich, Germany.

5. 5Division of Clinical Pharmacology, University Hospital, LMU Munich, Munich, Germany.

Abstract

Abstract T-cell exhaustion poses a significant barrier to the efficacy of immunotherapies. In the past decade, immune checkpoint blockade (ICB) has been the leading strategy to prevent or reverse T-cell exhaustion. Although ICB yields promising clinical outcomes in patients with cancer, its impact on T-cell reinvigoration is often short-lived. High-throughput genomic tools, including CRISPR screening along with single-cell RNA and chromatin accessibility sequencing may point toward new therapeutic avenues. However, their utility in identifying key mediators of T-cell exhaustion is constrained by the restricted scalability of well-validated in vivo exhaustion models, like chronic LCMV infection. In a recent article in Science Immunology, Wu and colleagues introduce an in vitro exhaustion model that involves repetitive stimulation of T-cell receptor-transgenic, LCMV-specific P14 CD8 T cells. This approach enables a direct comparison of exhausted T (Tex) cells generated both in vivo and in vitro using the same antigen, adeptly pinpointing exhaustion features that can be recapitulated in vitro. Leveraging this efficient and scalable model alongside CRISPR screening, the authors highlight the transcription factor BHLHE40 as a pivotal element in promoting Tex-cell transition from progenitor to intermediate Tex cells.

Publisher

American Association for Cancer Research (AACR)

Subject

Cancer Research,Oncology

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