Publication Date
3-1-2023
Journal
Journal of Biological Chemistry
DOI
10.1016/j.jbc.2023.102902
PMID
36642178
PMCID
PMC9957763
PubMedCentral® Posted Date
1-13-2023
PubMedCentral® Full Text Version
Post-print
Published Open-Access
yes
Keywords
Animals, Humans, Mice, Antibodies, Monoclonal, B7-H1 Antigen, Immunotherapy, Lipids, Neoplasms, T-Lymphocytes, Tumor Microenvironment, ambient ionization, desorption electrospray ionization, anti-PD-1, lipid metabolism, immunotherapy, mass spectrometry, molecular imaging, tumor microenvironment, cellular immune response
Abstract
The programmed cell death protein-1 (PD-1) is highly expressed on the surface of antigen-specific exhausted T cells and, upon interaction with its ligand PD-L1, can result in inhibition of the immune response. Anti-PD-1 treatment has been shown to extend survival and result in durable responses in several cancers, yet only a subset of patients benefit from this therapy. Despite the implication of metabolic alteration following cancer immunotherapy, mechanistic associations between antitumor responses and metabolic changes remain unclear. Here, we used desorption electrospray ionization mass spectrometry imaging to examine the lipid profiles of tumor tissue from three syngeneic murine models with varying treatment sensitivity at the baseline and at three time points post-anti-PD-1 therapy. These imaging experiments revealed specific alterations in the lipid profiles associated with the degree of response to treatment and allowed us to identify a significant increase of long-chain polyunsaturated lipids within responsive tumors following anti-PD-1 therapy. Immunofluorescence imaging of tumor tissues also demonstrated that the altered lipid profile associated with treatment response is localized to dense regions of tumor immune infiltrates. Overall, these results indicate that effective anti-PD-1 therapy modulates lipid metabolism in tumor immune infiltrates, and we thereby propose that further investigation of the related immune-metabolic pathways may be useful for better understanding success and failure of anti-PD-1 therapy.
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