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Single-cell analyses implicate ascites in remodeling the ecosystems of primary and metastatic tumors in ovarian cancer
Ovarian cancer (OC) is an aggressive gynecological tumor usually diagnosed with widespread metastases and ascites. Here, we depicted a single-cell landscape of the OC ecosystem with five tumor-relevant sites, including omentum metastasis and malignant ascites. Our data reveal the potential roles of...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group US
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447252/ https://www.ncbi.nlm.nih.gov/pubmed/37488416 http://dx.doi.org/10.1038/s43018-023-00599-8 |
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author | Zheng, Xiaocui Wang, Xinjing Cheng, Xi Liu, Zhaoyuan Yin, Yujia Li, Xiaoduan Huang, Zhihao Wang, Ziliang Guo, Wei Ginhoux, Florent Li, Ziyi Zhang, Zemin Wang, Xipeng |
author_facet | Zheng, Xiaocui Wang, Xinjing Cheng, Xi Liu, Zhaoyuan Yin, Yujia Li, Xiaoduan Huang, Zhihao Wang, Ziliang Guo, Wei Ginhoux, Florent Li, Ziyi Zhang, Zemin Wang, Xipeng |
author_sort | Zheng, Xiaocui |
collection | PubMed |
description | Ovarian cancer (OC) is an aggressive gynecological tumor usually diagnosed with widespread metastases and ascites. Here, we depicted a single-cell landscape of the OC ecosystem with five tumor-relevant sites, including omentum metastasis and malignant ascites. Our data reveal the potential roles of ascites-enriched memory T cells as a pool for tumor-infiltrating exhausted CD8(+) T cells and T helper 1-like cells. Moreover, tumor-enriched macrophages exhibited a preference for monocyte-derived ontogeny, whereas macrophages in ascites were more of embryonic origin. Furthermore, we characterized MAIT and dendritic cells in malignant ascites, as well as two endothelial subsets in primary tumors as predictive biomarkers for platinum-based chemotherapy response. Taken together, our study provides a global view of the female malignant ascites ecosystem and offers valuable insights for its connection with tumor tissues and paves the way for potential markers of efficacy evaluation and therapy resistance in OC. |
format | Online Article Text |
id | pubmed-10447252 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group US |
record_format | MEDLINE/PubMed |
spelling | pubmed-104472522023-08-25 Single-cell analyses implicate ascites in remodeling the ecosystems of primary and metastatic tumors in ovarian cancer Zheng, Xiaocui Wang, Xinjing Cheng, Xi Liu, Zhaoyuan Yin, Yujia Li, Xiaoduan Huang, Zhihao Wang, Ziliang Guo, Wei Ginhoux, Florent Li, Ziyi Zhang, Zemin Wang, Xipeng Nat Cancer Article Ovarian cancer (OC) is an aggressive gynecological tumor usually diagnosed with widespread metastases and ascites. Here, we depicted a single-cell landscape of the OC ecosystem with five tumor-relevant sites, including omentum metastasis and malignant ascites. Our data reveal the potential roles of ascites-enriched memory T cells as a pool for tumor-infiltrating exhausted CD8(+) T cells and T helper 1-like cells. Moreover, tumor-enriched macrophages exhibited a preference for monocyte-derived ontogeny, whereas macrophages in ascites were more of embryonic origin. Furthermore, we characterized MAIT and dendritic cells in malignant ascites, as well as two endothelial subsets in primary tumors as predictive biomarkers for platinum-based chemotherapy response. Taken together, our study provides a global view of the female malignant ascites ecosystem and offers valuable insights for its connection with tumor tissues and paves the way for potential markers of efficacy evaluation and therapy resistance in OC. Nature Publishing Group US 2023-07-24 2023 /pmc/articles/PMC10447252/ /pubmed/37488416 http://dx.doi.org/10.1038/s43018-023-00599-8 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Zheng, Xiaocui Wang, Xinjing Cheng, Xi Liu, Zhaoyuan Yin, Yujia Li, Xiaoduan Huang, Zhihao Wang, Ziliang Guo, Wei Ginhoux, Florent Li, Ziyi Zhang, Zemin Wang, Xipeng Single-cell analyses implicate ascites in remodeling the ecosystems of primary and metastatic tumors in ovarian cancer |
title | Single-cell analyses implicate ascites in remodeling the ecosystems of primary and metastatic tumors in ovarian cancer |
title_full | Single-cell analyses implicate ascites in remodeling the ecosystems of primary and metastatic tumors in ovarian cancer |
title_fullStr | Single-cell analyses implicate ascites in remodeling the ecosystems of primary and metastatic tumors in ovarian cancer |
title_full_unstemmed | Single-cell analyses implicate ascites in remodeling the ecosystems of primary and metastatic tumors in ovarian cancer |
title_short | Single-cell analyses implicate ascites in remodeling the ecosystems of primary and metastatic tumors in ovarian cancer |
title_sort | single-cell analyses implicate ascites in remodeling the ecosystems of primary and metastatic tumors in ovarian cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10447252/ https://www.ncbi.nlm.nih.gov/pubmed/37488416 http://dx.doi.org/10.1038/s43018-023-00599-8 |
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