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      Coordinated Cellular Neighborhoods Orchestrate Antitumoral Immunity at the Colorectal Cancer Invasive Front

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          Summary

          Antitumoral immunity requires organized, spatially nuanced interactions between components of the immune tumor microenvironment (iTME). Understanding this coordinated behavior in effective versus ineffective tumor control will advance immunotherapies. We re-engineered co-detection by indexing (CODEX) for paraffin-embedded tissue microarrays, enabling simultaneous profiling of 140 tissue regions from 35 advanced-stage colorectal cancer (CRC) patients with 56 protein markers. We identified nine conserved, distinct cellular neighborhoods (CNs)—a collection of components characteristic of the CRC iTME. Enrichment of PD-1 +CD4 + T cells only within a granulocyte CN positively correlated with survival in a high-risk patient subset. Coupling of tumor and immune CNs, fragmentation of T cell and macrophage CNs, and disruption of inter-CN communication was associated with inferior outcomes. This study provides a framework for interrogating how complex biological processes, such as antitumoral immunity, occur through concerted actions of cells and spatial domains.

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          Highlights

          • FFPE-CODEX multiplexed tissue imaging of 56 markers in 140 tissues of 35 CRC patients

          • Cellular neighborhoods reveal spatial organization of the tumor microenvironment

          • Altered organization of tumor and immune components in low- versus high-risk patients

          • Local enrichment of PD-1 +CD4 + T cells correlates with survival in high-risk patients

          Abstract

          A multiplexed tissue imaging and computational analysis framework applied to colorectal cancer allows interrogation of how spatial organization of the immune tumor microenvironment is linked to clinical outcomes.

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          Most cited references29

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          We present a general method using kernel canonical correlation analysis to learn a semantic representation to web images and their associated text. The semantic space provides a common representation and enables a comparison between the text and images. In the experiments, we look at two approaches of retrieving images based on only their content from a text query. We compare orthogonalization approaches against a standard cross-representation retrieval technique known as the generalized vector space model.
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            The single-cell pathology landscape of breast cancer

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              miCAT: A toolbox for analysis of cell phenotypes and interactions in multiplex image cytometry data

              Single-cell, spatially resolved ‘omics analysis of tissues is poised to transform biomedical research and clinical practice. We have developed an open-source, computational multiplex image cytometry analysis toolbox (miCAT) to enable interactive, quantitative, and comprehensive exploration of individual cell phenotypes, cell-to-cell interactions, microenvironments, and morphological structures within intact tissues. We highlight the unique abilities of miCAT by analysis of highly multiplexed mass cytometry images of human breast cancer tissues.
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                Author and article information

                Contributors
                Journal
                Cell
                Cell
                Cell
                Cell Press
                0092-8674
                1097-4172
                03 September 2020
                03 September 2020
                : 182
                : 5
                : 1341-1359.e19
                Affiliations
                [1 ]Department of Microbiology & Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA
                [2 ]Department of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA
                [3 ]Department of Bioengineering, Stanford University School of Medicine, Stanford, CA 94305, USA
                [4 ]Department of Dermatology, Stanford University School of Medicine, Stanford, CA 94305, USA
                [5 ]Institute of Pathology, University of Bern, 3008 Bern, Switzerland
                Author notes
                []Corresponding author christian.m.schuerch@ 123456gmail.com
                [∗∗ ]Corresponding author gnolan@ 123456stanford.edu
                [6]

                These authors contributed equally

                [7]

                Lead Contact

                Article
                S0092-8674(20)30870-9
                10.1016/j.cell.2020.07.005
                7479520
                32763154
                18de871c-7e31-42b2-b522-b0abd823b184
                © 2020 The Author(s)

                This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

                History
                : 29 July 2019
                : 22 April 2020
                : 8 July 2020
                Categories
                Resource

                Cell biology
                antitumoral immunity,cellular neighborhoods,codex,colorectal cancer,ffpe,immune checkpoints,immune tumor microenvironment,multiplexed imaging,tertiary lymphoid structures,tissue architecture

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