Unknown

Dataset Information

0

Chronic Adrenergic Stress Contributes to Metabolic Dysfunction and an Exhausted Phenotype in T Cells in the Tumor Microenvironment.


ABSTRACT: Metabolic dysfunction and exhaustion in tumor-infiltrating T cells have been linked to ineffectual antitumor immunity and the failure of immune checkpoint inhibitor therapy. We report here that chronic stress plays a previously unrecognized role in regulating the state of T cells in the tumor microenvironment (TME). Using two mouse tumor models, we found that blocking chronic adrenergic stress signaling using the pan β-blocker propranolol or by using mice lacking the β2-adrenergic receptor (β2-AR) results in reduced tumor growth rates with significantly fewer tumor-infiltrating T cells that express markers of exhaustion, with a concomitant increase in progenitor exhausted T cells. We also report that blocking β-AR signaling in mice increases glycolysis and oxidative phosphorylation in tumor-infiltrating lymphocytes (TIL), which associated with increased expression of the costimulatory molecule CD28 and increased antitumor effector functions, including increased cytokine production. Using T cells from Nur77-GFP reporter mice to monitor T-cell activation, we observed that stress-induced β-AR signaling suppresses T-cell receptor (TCR) signaling. Together, these data suggest that chronic stress-induced adrenergic receptor signaling serves as a "checkpoint" of immune responses and contributes to immunosuppression in the TME by promoting T-cell metabolic dysfunction and exhaustion. These results also support the possibility that chronic stress, which unfortunately is increased in many patients with cancer following their diagnoses, could be exerting a major negative influence on the outcome of therapies that depend upon the status of TILs and support the use of strategies to reduce stress or β-AR signaling in combination with immunotherapy.

SUBMITTER: Qiao G 

PROVIDER: S-EPMC8355045 | biostudies-literature |

REPOSITORIES: biostudies-literature

Similar Datasets

| S-EPMC10311918 | biostudies-literature
| S-EPMC2868111 | biostudies-literature
| S-EPMC7902023 | biostudies-literature
| S-EPMC4102665 | biostudies-literature
| S-EPMC9207509 | biostudies-literature
| S-EPMC8102306 | biostudies-literature
| S-EPMC7056729 | biostudies-literature
| S-EPMC3767181 | biostudies-literature
| S-EPMC5207350 | biostudies-literature
| S-EPMC4687418 | biostudies-literature