PD-L1 checkpoint blockade promotes regulatory T cell activity that underlies therapy resistance.
Mandy van GulijkAnneloes van KrimpenSjoerd T T SchettersMike EtermanMarit J van ElsasJoanne M MankorLarissa KlaaseMarjolein J W de BruijnMenno van NimwegenTim van TienhovenWilfred F J Van IJckenLouis BoonJohan M S van der SchootMartijn VerdoesFerenc A ScheerenSjoerd H Van der BurgBart N LambrechtRalph StadhoudersFloris DammeijerJoachim AertsThorbald van HallPublished in: Science immunology (2023)
Despite the clinical success of immune checkpoint blockade (ICB), in certain cancer types, most patients with cancer do not respond well. Furthermore, in patients for whom ICB is initially successful, this is often short-lived because of the development of resistance to ICB. The mechanisms underlying primary or secondary ICB resistance are incompletely understood. Here, we identified preferential activation and enhanced suppressive capacity of regulatory T cells (T reg cells) in αPD-L1 therapy-resistant solid tumor-bearing mice. T reg cell depletion reversed resistance to αPD-L1 with concomitant expansion of effector T cells. Moreover, we found that tumor-infiltrating T reg cells in human patients with skin cancer, and in patients with non-small cell lung cancer, up-regulated a suppressive transcriptional gene program after ICB treatment, which correlated with lack of treatment response. αPD-1/PD-L1-induced PD-1 + T reg cell activation was also seen in peripheral blood of patients with lung cancer and mesothelioma, especially in nonresponders. Together, these data reveal that treatment with αPD-1 and αPD-L1 unleashes the immunosuppressive role of T reg cells, resulting in therapy resistance, suggesting that T reg cell targeting is an important adjunct strategy to enhance therapeutic efficacy.
Keyphrases
- regulatory t cells
- induced apoptosis
- single cell
- cell cycle arrest
- cell therapy
- endothelial cells
- dendritic cells
- peripheral blood
- gene expression
- end stage renal disease
- skin cancer
- signaling pathway
- cell death
- stem cells
- chronic kidney disease
- type diabetes
- squamous cell carcinoma
- electronic health record
- young adults
- big data
- mesenchymal stem cells
- cell proliferation
- newly diagnosed
- immune response
- dna damage
- replacement therapy
- machine learning
- dna methylation
- high glucose
- papillary thyroid
- peritoneal dialysis
- ejection fraction
- cell cycle
- genome wide
- deep learning
- adipose tissue
- metabolic syndrome
- bone marrow