Computational and Structural Biotechnology JournalCancer BiologyPeer-reviewed journal article
Immune and non-immune cell fencing of tumor cells is a widespread and functionally relevant spatial pattern in solid cancers
Giuseppe GiulianiiD, Dhruv ChavaniD, Rushil Gaddam, William C. StewartiD, Zihai LiiD, Ciriyam JayaprakashiD, Jayajit DasiD
Abstract
Solid tumors are characterized by a spatially heterogeneous mixture of cancer cells, immune cells and other non-tumor cells. Recent characterization of the heterogeneity at the single cell level has revealed spatial patterns of different cell types often lacking a simple geometric structure associated with cancer progression. Here we investigated the occurrence of physical fencing of tumor cells by specific immune and non-immune phenotypes in the tumor microenvironment (TME) and the association of these clusters to cancer progression in a wide range solid tumors formed in different organs. We analyzed published patient response and imaging mass cytometry (IMC) datasets from tumor microarrays obtained from tumor tissues in triple-negative breast cancer (279 patients), lung cancer (416 patients), melanoma (30 patients), colorectal cancer (9 patients), glioma (185 patients), and head and neck cancer (139 patients) to characterize the presence of fencing clusters of various cell types and their association with differing patient outcomes. Devising and employing simple mechanistic and stochastic spatially-resolved computational models we quantify the dependence of the pro- and anti-tumor roles of a fencing cluster on the size and the lifetime of the cluster, as well as the chemokine gradient in the local environment. We unveiled that spatial patterns of immune cells, especially through fencing tumor boundary, affects tumor progression and treatment responsiveness to immunotherapy.
- organism: human
- assay: bulk RNA-seq
- research focus: cell-cell communication
- research focus: spatial domain detection
- approach: statistical model
- Citations
- 2
- FWCI
- 0.83
- Field percentile
- top 23%
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