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Topography of cancer-associated immune cells in human solid tumors
Lymphoid and myeloid cells are abundant in the tumor microenvironment, can be quantified by immunohistochemistry and shape the disease course of human solid tumors. Yet, there is no comprehensive understanding of spatial immune infiltration patterns (‘topography’) across cancer entities and across v...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6133554/ https://www.ncbi.nlm.nih.gov/pubmed/30179157 http://dx.doi.org/10.7554/eLife.36967 |
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author | Kather, Jakob Nikolas Suarez-Carmona, Meggy Charoentong, Pornpimol Weis, Cleo-Aron Hirsch, Daniela Bankhead, Peter Horning, Marcel Ferber, Dyke Kel, Ivan Herpel, Esther Schott, Sarah Zörnig, Inka Utikal, Jochen Marx, Alexander Gaiser, Timo Brenner, Herrmann Chang-Claude, Jenny Hoffmeister, Michael Jäger, Dirk Halama, Niels |
author_facet | Kather, Jakob Nikolas Suarez-Carmona, Meggy Charoentong, Pornpimol Weis, Cleo-Aron Hirsch, Daniela Bankhead, Peter Horning, Marcel Ferber, Dyke Kel, Ivan Herpel, Esther Schott, Sarah Zörnig, Inka Utikal, Jochen Marx, Alexander Gaiser, Timo Brenner, Herrmann Chang-Claude, Jenny Hoffmeister, Michael Jäger, Dirk Halama, Niels |
author_sort | Kather, Jakob Nikolas |
collection | PubMed |
description | Lymphoid and myeloid cells are abundant in the tumor microenvironment, can be quantified by immunohistochemistry and shape the disease course of human solid tumors. Yet, there is no comprehensive understanding of spatial immune infiltration patterns (‘topography’) across cancer entities and across various immune cell types. In this study, we systematically measure the topography of multiple immune cell types in 965 histological tissue slides from N = 177 patients in a pan-cancer cohort. We provide a definition of inflamed (‘hot’), non-inflamed (‘cold’) and immune excluded patterns and investigate how these patterns differ between immune cell types and between cancer types. In an independent cohort of N = 287 colorectal cancer patients, we show that hot, cold and excluded topographies for effector lymphocytes (CD8) and tumor-associated macrophages (CD163) alone are not prognostic, but that a bivariate classification system can stratify patients. Our study adds evidence to consider immune topographies as biomarkers for patients with solid tumors. |
format | Online Article Text |
id | pubmed-6133554 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-61335542018-09-12 Topography of cancer-associated immune cells in human solid tumors Kather, Jakob Nikolas Suarez-Carmona, Meggy Charoentong, Pornpimol Weis, Cleo-Aron Hirsch, Daniela Bankhead, Peter Horning, Marcel Ferber, Dyke Kel, Ivan Herpel, Esther Schott, Sarah Zörnig, Inka Utikal, Jochen Marx, Alexander Gaiser, Timo Brenner, Herrmann Chang-Claude, Jenny Hoffmeister, Michael Jäger, Dirk Halama, Niels eLife Cancer Biology Lymphoid and myeloid cells are abundant in the tumor microenvironment, can be quantified by immunohistochemistry and shape the disease course of human solid tumors. Yet, there is no comprehensive understanding of spatial immune infiltration patterns (‘topography’) across cancer entities and across various immune cell types. In this study, we systematically measure the topography of multiple immune cell types in 965 histological tissue slides from N = 177 patients in a pan-cancer cohort. We provide a definition of inflamed (‘hot’), non-inflamed (‘cold’) and immune excluded patterns and investigate how these patterns differ between immune cell types and between cancer types. In an independent cohort of N = 287 colorectal cancer patients, we show that hot, cold and excluded topographies for effector lymphocytes (CD8) and tumor-associated macrophages (CD163) alone are not prognostic, but that a bivariate classification system can stratify patients. Our study adds evidence to consider immune topographies as biomarkers for patients with solid tumors. eLife Sciences Publications, Ltd 2018-09-04 /pmc/articles/PMC6133554/ /pubmed/30179157 http://dx.doi.org/10.7554/eLife.36967 Text en © 2018, Kather et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Cancer Biology Kather, Jakob Nikolas Suarez-Carmona, Meggy Charoentong, Pornpimol Weis, Cleo-Aron Hirsch, Daniela Bankhead, Peter Horning, Marcel Ferber, Dyke Kel, Ivan Herpel, Esther Schott, Sarah Zörnig, Inka Utikal, Jochen Marx, Alexander Gaiser, Timo Brenner, Herrmann Chang-Claude, Jenny Hoffmeister, Michael Jäger, Dirk Halama, Niels Topography of cancer-associated immune cells in human solid tumors |
title | Topography of cancer-associated immune cells in human solid tumors |
title_full | Topography of cancer-associated immune cells in human solid tumors |
title_fullStr | Topography of cancer-associated immune cells in human solid tumors |
title_full_unstemmed | Topography of cancer-associated immune cells in human solid tumors |
title_short | Topography of cancer-associated immune cells in human solid tumors |
title_sort | topography of cancer-associated immune cells in human solid tumors |
topic | Cancer Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6133554/ https://www.ncbi.nlm.nih.gov/pubmed/30179157 http://dx.doi.org/10.7554/eLife.36967 |
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