EMBO Molecular MedicineImmunologyPeer-reviewed journal article
Checkpoint receptors in circulating γδ T cells can discern the outcome of cancer immunotherapy
Elisa Catafal TardosiD, Lola Dachicourt, María Virginia BaglioniiD, Marcelo Gregorio Filho Fares da SilvaiD, Davide SecciiD, Marco DoniaiD, Anders Handrup KvernelandiD, Inge Marie SvaneiD, Vasileios BekiarisiD
Abstract
Gamma delta ({gamma}{delta}) T cells are innate-like lymphocytes that in humans can be broadly classified into two main subtypes based on their unique TCR{delta} chain, V{delta}1 and V{delta}2. Both subsets have potent anti-tumor properties and the presence of V{delta}1 cells in the tumor is often associated with positive prognosis. Herein, we investigated the molecular interplay between immune checkpoint receptors (ICRs), IC blockade (ICB) therapy and {gamma}{delta} T cells. We show that ICRs display differential expression and regulation by the JAK-STAT pathway in circulating V{delta}1 and V{delta}2 cells and identify constitutive (e.g. TIGIT, PD-1) and inducible (e.g. TIM-3, LAG-3, CTLA-4) ICRs. In melanoma, V{delta}1 cells, especially in patients who did not respond to ICB or required combination therapy, expressed high levels of ICR, TOX and inhibitory killer Ig-like receptors (KIR) transcripts, reminiscent of an exhaustion transcriptional signature. At the same time all {gamma}{delta} T cells had a prominent downregulation in AP-1 transcription factors. Patient derived cells were functionally competent, although induction of LAG-3 and CTLA-4 was impaired. In the context of anti-PD-1 monotherapy, V{delta}1 cells specifically bound high levels of therapeutic antibody but only in patients who responded to treatment, revealing a potential new prognostic marker for evaluating the efficacy of ICB therapy. Finally, expression of KIR genes in V{delta}1 cells was downregulated in response to successful ICB therapy. Collectively, our data indicate an intricate relationship between ICRs, putatively also KIRs, and {gamma}{delta} T cells and reveal novel approaches by which these cells can be harnessed in order to discern or improve cancer immunotherapy.
- organism: human
- assay: bulk RNA-seq
- research focus: cell type annotation
- research focus: differential expression
- approach: statistical model
- Citations
- 4
- FWCI
- 1.65
- Field percentile
- top 14%
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