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| Home > Publications database > Spatially resolved multi-omics single-cell analyses inform mechanisms of immune-dysfunction in pancreatic cancer. |
| Home > Publications database > Spatially resolved multi-omics single-cell analyses inform mechanisms of immune-dysfunction in pancreatic cancer. |
| Journal Article | DKFZ-2023-01086 |
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2023
Saunders
Philadelphia, Pa. [u.a.]
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Please use a persistent id in citations: doi:10.1053/j.gastro.2023.05.036
Abstract: As pancreatic ductal adenocarcinoma (PDAC) continues to be recalcitrant to therapeutic interventions including poor response to immunotherapy, albeit effective in other solid malignancies, a more nuanced understanding of the immune microenvironment in PDAC is urgently needed. We aimed to unveil a detailed view of the immune micromilieu in PDAC using a spatially-resolved multimodal single cell approach.We applied single cell RNA sequencing, spatial transcriptomics, multiplex immunohistochemistry and mass cytometry to profile the immune compartment in treatment naive PDAC tumors and matched adjacent normal pancreatic tissue, as well as in the systemic circulation. We determined prognostic associations of immune signatures, and performed a meta-analysis of the immune microenvironment in PDAC and lung adenocarcinoma (LUAD) on single-cell level.We provide a spatially-resolved fine map of the immune landscape in PDAC. We substantiate the exhausted phenotype of CD8 T cells and immunosuppressive features of myeloid cells, and highlight immune subsets with potentially underappreciated roles in PDAC, that diverge from immune populations within adjacent normal areas, particularly CD4 T cell subsets and NKT cells that are terminally exhausted and acquire a regulatory phenotype. Differential analysis of immune phenotypes in PDAC and LUAD revealed the presence of extraordinarily immunosuppressive subtypes in PDAC, along with a distinctive immune checkpoint composition.Our study sheds light on the multilayered immune dysfunction in PDAC and presents a holistic view of the immune landscape in PDAC and LUAD, providing a comprehensive resource for functional studies and the exploration of therapeutically actionable targets in PDAC.
Keyword(s): lung cancer ; pancreatic cancer ; single cell multi-omics ; tumor immunology
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