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Prognostic significance of spatial immune profiles in human solid cancers
Immune‐based tumor characteristics in the context of tumor heterogeneity are associated with suppression as well as promotion of cancer progression in various tumor types. As immunity typically functions based on intercellular contacts and short‐distance cytokine communications, the location and spa...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7540978/ https://www.ncbi.nlm.nih.gov/pubmed/32726495 http://dx.doi.org/10.1111/cas.14591 |
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author | Tsujikawa, Takahiro Mitsuda, Junichi Ogi, Hiroshi Miyagawa‐Hayashino, Aya Konishi, Eiichi Itoh, Kyoko Hirano, Shigeru |
author_facet | Tsujikawa, Takahiro Mitsuda, Junichi Ogi, Hiroshi Miyagawa‐Hayashino, Aya Konishi, Eiichi Itoh, Kyoko Hirano, Shigeru |
author_sort | Tsujikawa, Takahiro |
collection | PubMed |
description | Immune‐based tumor characteristics in the context of tumor heterogeneity are associated with suppression as well as promotion of cancer progression in various tumor types. As immunity typically functions based on intercellular contacts and short‐distance cytokine communications, the location and spatial relationships of the tumor immune microenvironment can provide a framework to understand the biology and potential predictive biomarkers related to disease outcomes. Immune spatial analysis is a newly emerging form of cancer research based on recent methodological advances in in situ single‐cell analysis, where cell‐cell interaction and the tissue architecture can be analyzed in relation to phenotyping the tumor immune heterogeneity. Spatial characteristics of tumors can be stratified into the tissue architecture level and the single‐cell level. At the tissue architecture level, the prognostic significance of the density of immune cell lineages, particularly T cells, is leveraged by understanding longitudinal changes in cell distribution in the tissue architecture such as intra‐tumoral and peri‐tumoral regions, and invasive margins. At the single‐cell level, the proximity of the tumor to the immune cells correlates with disease aggressiveness and therapeutic resistance, providing evidence to understand biological interactions and characteristics of the tumor immune microenvironment. In this review, we summarize recent findings regarding spatial information of the tumor immune microenvironment and review advances and challenges in spatial single‐cell analysis toward developing tissue‐based biomarkers rooted in the immune spatial landscape. |
format | Online Article Text |
id | pubmed-7540978 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75409782020-10-09 Prognostic significance of spatial immune profiles in human solid cancers Tsujikawa, Takahiro Mitsuda, Junichi Ogi, Hiroshi Miyagawa‐Hayashino, Aya Konishi, Eiichi Itoh, Kyoko Hirano, Shigeru Cancer Sci Review Articles Immune‐based tumor characteristics in the context of tumor heterogeneity are associated with suppression as well as promotion of cancer progression in various tumor types. As immunity typically functions based on intercellular contacts and short‐distance cytokine communications, the location and spatial relationships of the tumor immune microenvironment can provide a framework to understand the biology and potential predictive biomarkers related to disease outcomes. Immune spatial analysis is a newly emerging form of cancer research based on recent methodological advances in in situ single‐cell analysis, where cell‐cell interaction and the tissue architecture can be analyzed in relation to phenotyping the tumor immune heterogeneity. Spatial characteristics of tumors can be stratified into the tissue architecture level and the single‐cell level. At the tissue architecture level, the prognostic significance of the density of immune cell lineages, particularly T cells, is leveraged by understanding longitudinal changes in cell distribution in the tissue architecture such as intra‐tumoral and peri‐tumoral regions, and invasive margins. At the single‐cell level, the proximity of the tumor to the immune cells correlates with disease aggressiveness and therapeutic resistance, providing evidence to understand biological interactions and characteristics of the tumor immune microenvironment. In this review, we summarize recent findings regarding spatial information of the tumor immune microenvironment and review advances and challenges in spatial single‐cell analysis toward developing tissue‐based biomarkers rooted in the immune spatial landscape. John Wiley and Sons Inc. 2020-08-12 2020-10 /pmc/articles/PMC7540978/ /pubmed/32726495 http://dx.doi.org/10.1111/cas.14591 Text en © 2020 The Authors. Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes. |
spellingShingle | Review Articles Tsujikawa, Takahiro Mitsuda, Junichi Ogi, Hiroshi Miyagawa‐Hayashino, Aya Konishi, Eiichi Itoh, Kyoko Hirano, Shigeru Prognostic significance of spatial immune profiles in human solid cancers |
title | Prognostic significance of spatial immune profiles in human solid cancers |
title_full | Prognostic significance of spatial immune profiles in human solid cancers |
title_fullStr | Prognostic significance of spatial immune profiles in human solid cancers |
title_full_unstemmed | Prognostic significance of spatial immune profiles in human solid cancers |
title_short | Prognostic significance of spatial immune profiles in human solid cancers |
title_sort | prognostic significance of spatial immune profiles in human solid cancers |
topic | Review Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7540978/ https://www.ncbi.nlm.nih.gov/pubmed/32726495 http://dx.doi.org/10.1111/cas.14591 |
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