| Literature DB >> 30193111 |
Leeat Keren1, Marc Bosse1, Diana Marquez1, Roshan Angoshtari1, Samir Jain1, Sushama Varma1, Soo-Ryum Yang1, Allison Kurian1, David Van Valen2, Robert West1, Sean C Bendall3, Michael Angelo4.
Abstract
The immune system is critical in modulating cancer progression, but knowledge of immune composition, phenotype, and interactions with tumor is limited. We used multiplexed ion beam imaging by time-of-flight (MIBI-TOF) to simultaneously quantify in situ expression of 36 proteins covering identity, function, and immune regulation at sub-cellular resolution in 41 triple-negative breast cancer patients. Multi-step processing, including deep-learning-based segmentation, revealed variability in the composition of tumor-immune populations across individuals, reconciled by overall immune infiltration and enriched co-occurrence of immune subpopulations and checkpoint expression. Spatial enrichment analysis showed immune mixed and compartmentalized tumors, coinciding with expression of PD1, PD-L1, and IDO in a cell-type- and location-specific manner. Ordered immune structures along the tumor-immune border were associated with compartmentalization and linked to survival. These data demonstrate organization in the tumor-immune microenvironment that is structured in cellular composition, spatial arrangement, and regulatory-protein expression and provide a framework to apply multiplexed imaging to immune oncology.Entities:
Keywords: Breast Cancer; Checkpoint; Imaging; MIBI; Mass spectrometry; Multiplexed Ion Beam Imaging; Proteomics; Systems Biology; Tumor Immunology; Tumor Microenvironment
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Year: 2018 PMID: 30193111 PMCID: PMC6132072 DOI: 10.1016/j.cell.2018.08.039
Source DB: PubMed Journal: Cell ISSN: 0092-8674 Impact factor: 41.582