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Single-cell transcriptome analysis of tumor immune microenvironment characteristics in colorectal cancer liver metastasis

BACKGROUND: Liver metastasis is the leading cause of death in colorectal cancer (CRC) patients, and the precise mechanisms remain unclear. In this study, single-cell RNA sequencing (scRNA-seq) was used to analyze the cellular and molecular heterogeneity between CRC primary lesion and corresponding l...

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Autores principales: Geng, Yiting, Feng, Jun, Huang, Hao, Wang, Ying, Yi, Xing, Wei, Shanshan, Zhang, Mingyue, Li, Zhong, Wang, Wei, Hu, Wenwei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708492/
https://www.ncbi.nlm.nih.gov/pubmed/36467341
http://dx.doi.org/10.21037/atm-22-5270
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author Geng, Yiting
Feng, Jun
Huang, Hao
Wang, Ying
Yi, Xing
Wei, Shanshan
Zhang, Mingyue
Li, Zhong
Wang, Wei
Hu, Wenwei
author_facet Geng, Yiting
Feng, Jun
Huang, Hao
Wang, Ying
Yi, Xing
Wei, Shanshan
Zhang, Mingyue
Li, Zhong
Wang, Wei
Hu, Wenwei
author_sort Geng, Yiting
collection PubMed
description BACKGROUND: Liver metastasis is the leading cause of death in colorectal cancer (CRC) patients, and the precise mechanisms remain unclear. In this study, single-cell RNA sequencing (scRNA-seq) was used to analyze the cellular and molecular heterogeneity between CRC primary lesion and corresponding liver metastasis, and to clarify the characteristics of the tumor microenvironment (TME) in synchronous liver metastasis of CRC. METHODS: A case of microsatellite stable (MSS) sigmoid carcinoma with synchronous liver metastasis was selected, and tissues from the primary tumor and the liver metastasis were collected for scRNA-seq. The EdgeR package software was used to identify the differentially expressed genes between cells. Gene Set Enrichment Analysis (GSEA) was performed and the clusterProfiler R package was used for Gene Ontology (GO) enrichment analysis. The SCENIC and CellphoneDB packages were used to reconstruct the transcriptional regulatory networks and to analyze the intercellular interaction network, respectively. RESULTS: Compared to the primary tumor, the proportion of myeloid cells in the metastatic tumor was significantly increased, while B cells and plasma cells were decreased. In the metastatic tumor, the myeloid-derived suppressor cell (MDSC) characteristic gene, mannose receptor C-type 1 (MRC1) and tumor associated macrophage 2 (TAM2)-related gene, were highly expressed. Furthermore, angiogenesis, oxidative phosphorylation, and endothelial mesenchymal transition (EMT) of myeloid cells were also significantly enhanced. There were less myeloid cells in primary tumors, and these were mainly monocytes and TAM1; while the number of TAM2 was significantly upregulated in the metastatic samples. In liver metastasis, the T cell population was exhausted, and this was accompanied by a significant increase in the number of CD4(+) T cells and a decrease in the number of CD8(+) T cells. Furthermore, some immune checkpoint molecules were highly expressed. Interactions between myeloid cells and other cell populations appeared to be strong. CONCLUSIONS: The TME of CRC liver metastasis is significantly immunosuppressed. Interactions between myeloid cells and other cell populations in the TME contribute to the establishment of a pro-metastatic niche that promotes colonization and growth of CRC cells in the liver. TAMs may be a potential immunotherapeutic target for MSS CRC.
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spelling pubmed-97084922022-12-01 Single-cell transcriptome analysis of tumor immune microenvironment characteristics in colorectal cancer liver metastasis Geng, Yiting Feng, Jun Huang, Hao Wang, Ying Yi, Xing Wei, Shanshan Zhang, Mingyue Li, Zhong Wang, Wei Hu, Wenwei Ann Transl Med Original Article BACKGROUND: Liver metastasis is the leading cause of death in colorectal cancer (CRC) patients, and the precise mechanisms remain unclear. In this study, single-cell RNA sequencing (scRNA-seq) was used to analyze the cellular and molecular heterogeneity between CRC primary lesion and corresponding liver metastasis, and to clarify the characteristics of the tumor microenvironment (TME) in synchronous liver metastasis of CRC. METHODS: A case of microsatellite stable (MSS) sigmoid carcinoma with synchronous liver metastasis was selected, and tissues from the primary tumor and the liver metastasis were collected for scRNA-seq. The EdgeR package software was used to identify the differentially expressed genes between cells. Gene Set Enrichment Analysis (GSEA) was performed and the clusterProfiler R package was used for Gene Ontology (GO) enrichment analysis. The SCENIC and CellphoneDB packages were used to reconstruct the transcriptional regulatory networks and to analyze the intercellular interaction network, respectively. RESULTS: Compared to the primary tumor, the proportion of myeloid cells in the metastatic tumor was significantly increased, while B cells and plasma cells were decreased. In the metastatic tumor, the myeloid-derived suppressor cell (MDSC) characteristic gene, mannose receptor C-type 1 (MRC1) and tumor associated macrophage 2 (TAM2)-related gene, were highly expressed. Furthermore, angiogenesis, oxidative phosphorylation, and endothelial mesenchymal transition (EMT) of myeloid cells were also significantly enhanced. There were less myeloid cells in primary tumors, and these were mainly monocytes and TAM1; while the number of TAM2 was significantly upregulated in the metastatic samples. In liver metastasis, the T cell population was exhausted, and this was accompanied by a significant increase in the number of CD4(+) T cells and a decrease in the number of CD8(+) T cells. Furthermore, some immune checkpoint molecules were highly expressed. Interactions between myeloid cells and other cell populations appeared to be strong. CONCLUSIONS: The TME of CRC liver metastasis is significantly immunosuppressed. Interactions between myeloid cells and other cell populations in the TME contribute to the establishment of a pro-metastatic niche that promotes colonization and growth of CRC cells in the liver. TAMs may be a potential immunotherapeutic target for MSS CRC. AME Publishing Company 2022-11 /pmc/articles/PMC9708492/ /pubmed/36467341 http://dx.doi.org/10.21037/atm-22-5270 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Geng, Yiting
Feng, Jun
Huang, Hao
Wang, Ying
Yi, Xing
Wei, Shanshan
Zhang, Mingyue
Li, Zhong
Wang, Wei
Hu, Wenwei
Single-cell transcriptome analysis of tumor immune microenvironment characteristics in colorectal cancer liver metastasis
title Single-cell transcriptome analysis of tumor immune microenvironment characteristics in colorectal cancer liver metastasis
title_full Single-cell transcriptome analysis of tumor immune microenvironment characteristics in colorectal cancer liver metastasis
title_fullStr Single-cell transcriptome analysis of tumor immune microenvironment characteristics in colorectal cancer liver metastasis
title_full_unstemmed Single-cell transcriptome analysis of tumor immune microenvironment characteristics in colorectal cancer liver metastasis
title_short Single-cell transcriptome analysis of tumor immune microenvironment characteristics in colorectal cancer liver metastasis
title_sort single-cell transcriptome analysis of tumor immune microenvironment characteristics in colorectal cancer liver metastasis
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9708492/
https://www.ncbi.nlm.nih.gov/pubmed/36467341
http://dx.doi.org/10.21037/atm-22-5270
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