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Deep immunophenotyping reveals clinically distinct cellular states and ecosystems in large-scale colorectal cancer

Determining the diverse cell types in the tumor microenvironment (TME) and their organization into cellular communities, is critical for understanding the biological heterogeneity and therapy of cancer. Here, we deeply immunophenotype the colorectal cancer (CRC) by integrative analysis of large-scal...

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Autores principales: Li, Si, Pan, Tao, Xu, Gang, Gao, Yueying, Zhang, Ya, Xu, Qi, Pan, Jiwei, Zhou, Weiwei, Xu, Juan, Li, Qifu, Li, Yongsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374645/
https://www.ncbi.nlm.nih.gov/pubmed/37500893
http://dx.doi.org/10.1038/s42003-023-05117-1
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author Li, Si
Pan, Tao
Xu, Gang
Gao, Yueying
Zhang, Ya
Xu, Qi
Pan, Jiwei
Zhou, Weiwei
Xu, Juan
Li, Qifu
Li, Yongsheng
author_facet Li, Si
Pan, Tao
Xu, Gang
Gao, Yueying
Zhang, Ya
Xu, Qi
Pan, Jiwei
Zhou, Weiwei
Xu, Juan
Li, Qifu
Li, Yongsheng
author_sort Li, Si
collection PubMed
description Determining the diverse cell types in the tumor microenvironment (TME) and their organization into cellular communities, is critical for understanding the biological heterogeneity and therapy of cancer. Here, we deeply immunophenotype the colorectal cancer (CRC) by integrative analysis of large-scale bulk and single cell transcriptome of 2350 patients and 53,137 cells. A rich landscape of 42 cellular states and 7 ecosystems in TMEs is uncovered and extend the previous immune classifications of CRC. Functional pathways and potential transcriptional regulators analysis of cellular states and ecosystems reveal cancer hallmark-related pathways and several critical transcription factors in CRC. High-resolution characterization of the TMEs, we discover the potential utility of cellular states (i.e., Monocytes/Macrophages and CD8 T cell) and ecosystems for prognosis and clinical therapy selection of CRC. Together, our results expand our understanding of cellular organization in TMEs of CRC, with potential implications for the development of biomarkers and precision therapies.
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spelling pubmed-103746452023-07-29 Deep immunophenotyping reveals clinically distinct cellular states and ecosystems in large-scale colorectal cancer Li, Si Pan, Tao Xu, Gang Gao, Yueying Zhang, Ya Xu, Qi Pan, Jiwei Zhou, Weiwei Xu, Juan Li, Qifu Li, Yongsheng Commun Biol Article Determining the diverse cell types in the tumor microenvironment (TME) and their organization into cellular communities, is critical for understanding the biological heterogeneity and therapy of cancer. Here, we deeply immunophenotype the colorectal cancer (CRC) by integrative analysis of large-scale bulk and single cell transcriptome of 2350 patients and 53,137 cells. A rich landscape of 42 cellular states and 7 ecosystems in TMEs is uncovered and extend the previous immune classifications of CRC. Functional pathways and potential transcriptional regulators analysis of cellular states and ecosystems reveal cancer hallmark-related pathways and several critical transcription factors in CRC. High-resolution characterization of the TMEs, we discover the potential utility of cellular states (i.e., Monocytes/Macrophages and CD8 T cell) and ecosystems for prognosis and clinical therapy selection of CRC. Together, our results expand our understanding of cellular organization in TMEs of CRC, with potential implications for the development of biomarkers and precision therapies. Nature Publishing Group UK 2023-07-27 /pmc/articles/PMC10374645/ /pubmed/37500893 http://dx.doi.org/10.1038/s42003-023-05117-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Li, Si
Pan, Tao
Xu, Gang
Gao, Yueying
Zhang, Ya
Xu, Qi
Pan, Jiwei
Zhou, Weiwei
Xu, Juan
Li, Qifu
Li, Yongsheng
Deep immunophenotyping reveals clinically distinct cellular states and ecosystems in large-scale colorectal cancer
title Deep immunophenotyping reveals clinically distinct cellular states and ecosystems in large-scale colorectal cancer
title_full Deep immunophenotyping reveals clinically distinct cellular states and ecosystems in large-scale colorectal cancer
title_fullStr Deep immunophenotyping reveals clinically distinct cellular states and ecosystems in large-scale colorectal cancer
title_full_unstemmed Deep immunophenotyping reveals clinically distinct cellular states and ecosystems in large-scale colorectal cancer
title_short Deep immunophenotyping reveals clinically distinct cellular states and ecosystems in large-scale colorectal cancer
title_sort deep immunophenotyping reveals clinically distinct cellular states and ecosystems in large-scale colorectal cancer
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10374645/
https://www.ncbi.nlm.nih.gov/pubmed/37500893
http://dx.doi.org/10.1038/s42003-023-05117-1
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