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Single-cell RNA-seq reveals the genesis and heterogeneity of tumor microenvironment in pancreatic undifferentiated carcinoma with osteoclast-like giant-cells

BACKGROUND: Undifferentiated carcinoma with osteoclast-like giant cells (OGCs) of pancreas (UCOGCP) is a rare subtype of pancreatic ductal adenocarcinoma (PDAC), which had poorly described histopathological and clinical features. METHODS: In this study, single-cell RNA sequencing (scRNA-seq) was use...

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Autores principales: Wang, Xinbo, Miao, Jiaying, Wang, Sizhen, Shen, Rongxi, Zhang, Shuo, Tian, Yurao, Li, Min, Zhu, Daojun, Yao, Anlong, Bao, Wei, Zhang, Qun, Tang, Xingming, Wang, Xingyun, Li, Jieshou
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214989/
https://www.ncbi.nlm.nih.gov/pubmed/35733218
http://dx.doi.org/10.1186/s12943-022-01596-8
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author Wang, Xinbo
Miao, Jiaying
Wang, Sizhen
Shen, Rongxi
Zhang, Shuo
Tian, Yurao
Li, Min
Zhu, Daojun
Yao, Anlong
Bao, Wei
Zhang, Qun
Tang, Xingming
Wang, Xingyun
Li, Jieshou
author_facet Wang, Xinbo
Miao, Jiaying
Wang, Sizhen
Shen, Rongxi
Zhang, Shuo
Tian, Yurao
Li, Min
Zhu, Daojun
Yao, Anlong
Bao, Wei
Zhang, Qun
Tang, Xingming
Wang, Xingyun
Li, Jieshou
author_sort Wang, Xinbo
collection PubMed
description BACKGROUND: Undifferentiated carcinoma with osteoclast-like giant cells (OGCs) of pancreas (UCOGCP) is a rare subtype of pancreatic ductal adenocarcinoma (PDAC), which had poorly described histopathological and clinical features. METHODS: In this study, single-cell RNA sequencing (scRNA-seq) was used to profile the distinct tumor microenvironment of UCOGCP using samples obtained from one UCOGCP patient and three PDAC patients. Bioinformatic analysis was carried out and immunohistochemical (IHC) staining was used to support the findings of bioinformatic analysis. After quality control of the raw data, a total of 18,376 cells were obtained from these four samples for subsequent analysis. These cells were divided into ten main cell types following the Seurat analysis pipeline. Among them, the UCOGCP sample displayed distinct distribution patterns from the rest samples in the epithelial cell, myeloid cell, fibroblast, and endothelial cell clusters. Further analysis supported that the OGCs were generated from stem-cell-like mesenchymal epithelial cells (SMECs). RESULTS: Functional analysis showed that the OGCs cluster was enriched in antigen presentation, immune response, and stem cell differentiation. Gene markers such as LOX, SPERINE1, CD44, and TGFBI were highly expressed in this SMECs cluster which signified poor prognosis. Interestingly, in myeloid cell, fibroblasts, and endothelial cell clusters, UCOGCP contained higher percentage of these cells and unique subclusters, compared with the rest of PDAC samples. CONCLUSIONS: Analysis of cell communication depicted that CD74 plays important roles in the formation of the microenvironment of UCOGCP. Our findings illustrated the genesis and function of OGCs, and the tumor microenvironment (TME) of UCOGCP, providing insights for prognosis and treatment strategy for this rare type of pancreatic cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12943-022-01596-8.
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spelling pubmed-92149892022-06-23 Single-cell RNA-seq reveals the genesis and heterogeneity of tumor microenvironment in pancreatic undifferentiated carcinoma with osteoclast-like giant-cells Wang, Xinbo Miao, Jiaying Wang, Sizhen Shen, Rongxi Zhang, Shuo Tian, Yurao Li, Min Zhu, Daojun Yao, Anlong Bao, Wei Zhang, Qun Tang, Xingming Wang, Xingyun Li, Jieshou Mol Cancer Research BACKGROUND: Undifferentiated carcinoma with osteoclast-like giant cells (OGCs) of pancreas (UCOGCP) is a rare subtype of pancreatic ductal adenocarcinoma (PDAC), which had poorly described histopathological and clinical features. METHODS: In this study, single-cell RNA sequencing (scRNA-seq) was used to profile the distinct tumor microenvironment of UCOGCP using samples obtained from one UCOGCP patient and three PDAC patients. Bioinformatic analysis was carried out and immunohistochemical (IHC) staining was used to support the findings of bioinformatic analysis. After quality control of the raw data, a total of 18,376 cells were obtained from these four samples for subsequent analysis. These cells were divided into ten main cell types following the Seurat analysis pipeline. Among them, the UCOGCP sample displayed distinct distribution patterns from the rest samples in the epithelial cell, myeloid cell, fibroblast, and endothelial cell clusters. Further analysis supported that the OGCs were generated from stem-cell-like mesenchymal epithelial cells (SMECs). RESULTS: Functional analysis showed that the OGCs cluster was enriched in antigen presentation, immune response, and stem cell differentiation. Gene markers such as LOX, SPERINE1, CD44, and TGFBI were highly expressed in this SMECs cluster which signified poor prognosis. Interestingly, in myeloid cell, fibroblasts, and endothelial cell clusters, UCOGCP contained higher percentage of these cells and unique subclusters, compared with the rest of PDAC samples. CONCLUSIONS: Analysis of cell communication depicted that CD74 plays important roles in the formation of the microenvironment of UCOGCP. Our findings illustrated the genesis and function of OGCs, and the tumor microenvironment (TME) of UCOGCP, providing insights for prognosis and treatment strategy for this rare type of pancreatic cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12943-022-01596-8. BioMed Central 2022-06-22 /pmc/articles/PMC9214989/ /pubmed/35733218 http://dx.doi.org/10.1186/s12943-022-01596-8 Text en © The Author(s) 2022 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
Wang, Xinbo
Miao, Jiaying
Wang, Sizhen
Shen, Rongxi
Zhang, Shuo
Tian, Yurao
Li, Min
Zhu, Daojun
Yao, Anlong
Bao, Wei
Zhang, Qun
Tang, Xingming
Wang, Xingyun
Li, Jieshou
Single-cell RNA-seq reveals the genesis and heterogeneity of tumor microenvironment in pancreatic undifferentiated carcinoma with osteoclast-like giant-cells
title Single-cell RNA-seq reveals the genesis and heterogeneity of tumor microenvironment in pancreatic undifferentiated carcinoma with osteoclast-like giant-cells
title_full Single-cell RNA-seq reveals the genesis and heterogeneity of tumor microenvironment in pancreatic undifferentiated carcinoma with osteoclast-like giant-cells
title_fullStr Single-cell RNA-seq reveals the genesis and heterogeneity of tumor microenvironment in pancreatic undifferentiated carcinoma with osteoclast-like giant-cells
title_full_unstemmed Single-cell RNA-seq reveals the genesis and heterogeneity of tumor microenvironment in pancreatic undifferentiated carcinoma with osteoclast-like giant-cells
title_short Single-cell RNA-seq reveals the genesis and heterogeneity of tumor microenvironment in pancreatic undifferentiated carcinoma with osteoclast-like giant-cells
title_sort single-cell rna-seq reveals the genesis and heterogeneity of tumor microenvironment in pancreatic undifferentiated carcinoma with osteoclast-like giant-cells
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9214989/
https://www.ncbi.nlm.nih.gov/pubmed/35733218
http://dx.doi.org/10.1186/s12943-022-01596-8
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