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Cell–cell communications shape tumor microenvironment and predict clinical outcomes in clear cell renal carcinoma

BACKGROUND: Cell–cell communications of various cell populations within tumor microenvironment play an essential role in primary tumor growth, metastasis evolution, and immune escape. Nevertheless, comprehensive investigation of cell–cell communications in the ccRCC (Clear cell renal carcinoma) micr...

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Autores principales: Chen, Liu-xun, Zeng, Shen-jie, Liu, Xv-dong, Tang, Hai-bin, Wang, Jia-wu, Jiang, Qing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921120/
https://www.ncbi.nlm.nih.gov/pubmed/36765369
http://dx.doi.org/10.1186/s12967-022-03858-x
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author Chen, Liu-xun
Zeng, Shen-jie
Liu, Xv-dong
Tang, Hai-bin
Wang, Jia-wu
Jiang, Qing
author_facet Chen, Liu-xun
Zeng, Shen-jie
Liu, Xv-dong
Tang, Hai-bin
Wang, Jia-wu
Jiang, Qing
author_sort Chen, Liu-xun
collection PubMed
description BACKGROUND: Cell–cell communications of various cell populations within tumor microenvironment play an essential role in primary tumor growth, metastasis evolution, and immune escape. Nevertheless, comprehensive investigation of cell–cell communications in the ccRCC (Clear cell renal carcinoma) microenvironment and how this interplay affects prognosis still remains limited. METHODS: Intercellular communications were characterized by single-cell data. Firstly, we employed “CellChat” package to characterize intercellular communications across all types of cells in microenvironment in VHL mutated and non-mutated samples from 8 patients, respectively. And pseudotime trajectory analyses were performed with monocle analyses. Finally clinical prognosis and immunotherapy efficacy with different landscapes of intercellular interplay are evaluated by TCGA-KIRC and immunotherapy cohort. RESULTS: Firstly, the VHL phenotype may be related to the intercellular communication landscape. And trajectory analysis reveals the potential relationship of cell–cell communication molecules with T cells and Myeloid cells differentiation. Furthermore, those molecules also correlate with the infiltration of T cells and Myeloid cells. A tumor cluster with highly expressed ligands was defined by quantitative analysis and transcription factor enrichment analysis, which was identified to be pivotal for intercellular communications in tumor microenvironment. Finally, bulk data indicates bulk that different clusters with different intercellular communications have significant predictive value for prognosis and distinguished immunotherapy efficiency. CONCLUSIONS: The intercellular communication landscapes of VHL wild and VHL mutant ccRCC vary. Intercellular communications within the tumor microenvironment also influence T cell and myeloid cell development and infiltration, as well as predict clinical prognosis and immunotherapy efficacy in ccRCC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03858-x.
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spelling pubmed-99211202023-02-12 Cell–cell communications shape tumor microenvironment and predict clinical outcomes in clear cell renal carcinoma Chen, Liu-xun Zeng, Shen-jie Liu, Xv-dong Tang, Hai-bin Wang, Jia-wu Jiang, Qing J Transl Med Research BACKGROUND: Cell–cell communications of various cell populations within tumor microenvironment play an essential role in primary tumor growth, metastasis evolution, and immune escape. Nevertheless, comprehensive investigation of cell–cell communications in the ccRCC (Clear cell renal carcinoma) microenvironment and how this interplay affects prognosis still remains limited. METHODS: Intercellular communications were characterized by single-cell data. Firstly, we employed “CellChat” package to characterize intercellular communications across all types of cells in microenvironment in VHL mutated and non-mutated samples from 8 patients, respectively. And pseudotime trajectory analyses were performed with monocle analyses. Finally clinical prognosis and immunotherapy efficacy with different landscapes of intercellular interplay are evaluated by TCGA-KIRC and immunotherapy cohort. RESULTS: Firstly, the VHL phenotype may be related to the intercellular communication landscape. And trajectory analysis reveals the potential relationship of cell–cell communication molecules with T cells and Myeloid cells differentiation. Furthermore, those molecules also correlate with the infiltration of T cells and Myeloid cells. A tumor cluster with highly expressed ligands was defined by quantitative analysis and transcription factor enrichment analysis, which was identified to be pivotal for intercellular communications in tumor microenvironment. Finally, bulk data indicates bulk that different clusters with different intercellular communications have significant predictive value for prognosis and distinguished immunotherapy efficiency. CONCLUSIONS: The intercellular communication landscapes of VHL wild and VHL mutant ccRCC vary. Intercellular communications within the tumor microenvironment also influence T cell and myeloid cell development and infiltration, as well as predict clinical prognosis and immunotherapy efficacy in ccRCC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-022-03858-x. BioMed Central 2023-02-10 /pmc/articles/PMC9921120/ /pubmed/36765369 http://dx.doi.org/10.1186/s12967-022-03858-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Chen, Liu-xun
Zeng, Shen-jie
Liu, Xv-dong
Tang, Hai-bin
Wang, Jia-wu
Jiang, Qing
Cell–cell communications shape tumor microenvironment and predict clinical outcomes in clear cell renal carcinoma
title Cell–cell communications shape tumor microenvironment and predict clinical outcomes in clear cell renal carcinoma
title_full Cell–cell communications shape tumor microenvironment and predict clinical outcomes in clear cell renal carcinoma
title_fullStr Cell–cell communications shape tumor microenvironment and predict clinical outcomes in clear cell renal carcinoma
title_full_unstemmed Cell–cell communications shape tumor microenvironment and predict clinical outcomes in clear cell renal carcinoma
title_short Cell–cell communications shape tumor microenvironment and predict clinical outcomes in clear cell renal carcinoma
title_sort cell–cell communications shape tumor microenvironment and predict clinical outcomes in clear cell renal carcinoma
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9921120/
https://www.ncbi.nlm.nih.gov/pubmed/36765369
http://dx.doi.org/10.1186/s12967-022-03858-x
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