Single-cell RNA-seq highlights a specific carcinoembryonic cluster in ovarian cancer

Abstract Expounding the heterogeneity for ovarian cancer (OC) with the cognition in developmental biology might be helpful to search for robust prognostic markers and effective treatments. In the present study, we employed single-cell RNA-seq with ovarian cancers, normal ovary, and embryo tissue to...

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Autores principales:	Hongyu Zhao, Yan Gao, Jinwei Miao, Suwen Chen, Jie Li, Zhefeng Li, Chenghong Yin, Wentao Yue
Formato:	article
Lenguaje:	EN
Publicado:	Nature Publishing Group 2021
Materias:	Cytology QH573-671
Acceso en línea:	https://doaj.org/article/79794bdad5ea443bbdddb96266736583
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spelling	oai:doaj.org-article:79794bdad5ea443bbdddb962667365832021-11-14T12:06:48ZSingle-cell RNA-seq highlights a specific carcinoembryonic cluster in ovarian cancer10.1038/s41419-021-04358-42041-4889https://doaj.org/article/79794bdad5ea443bbdddb962667365832021-11-01T00:00:00Zhttps://doi.org/10.1038/s41419-021-04358-4https://doaj.org/toc/2041-4889Abstract Expounding the heterogeneity for ovarian cancer (OC) with the cognition in developmental biology might be helpful to search for robust prognostic markers and effective treatments. In the present study, we employed single-cell RNA-seq with ovarian cancers, normal ovary, and embryo tissue to explore their heterogeneity. Then the differentiation process of clusters was explored; the pivotal cluster and markers were identified. Furthermore, the consensus clustering algorithm was used to explore the different clinical phenotypes in OC. At last, a prognostic model was construct and used to assess the prognosis for OCs. As a result, eight diverse clusters were identified, and the similarity existed in some clusters between embryo and tumours based on their gene expression. Meaningfully, a subtype of malignant epithelial cluster, PEG10+ EME, was associated with poor survival and was an intermediate stage of embryo to tumour. PEG10 was a CSC marker and might influence CSC self-renewal and promote cisplatin resistance via NOTCH pathway. Utilising specific gene profiles of PEG10+ EME based on public data sets, four phenotypes with different survival and clinical response to anti-PD-1/PD-L1 immunotherapy were identified. These insights allowed for the investigation of single-cell transcriptome of OCs and embryo, which advanced our current understanding of OC pathogenesis and resulted in promising therapeutic strategies.Hongyu ZhaoYan GaoJinwei MiaoSuwen ChenJie LiZhefeng LiChenghong YinWentao YueNature Publishing GrouparticleCytologyQH573-671ENCell Death and Disease, Vol 12, Iss 11, Pp 1-11 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Cytology QH573-671
spellingShingle	Cytology QH573-671 Hongyu Zhao Yan Gao Jinwei Miao Suwen Chen Jie Li Zhefeng Li Chenghong Yin Wentao Yue Single-cell RNA-seq highlights a specific carcinoembryonic cluster in ovarian cancer
description	Abstract Expounding the heterogeneity for ovarian cancer (OC) with the cognition in developmental biology might be helpful to search for robust prognostic markers and effective treatments. In the present study, we employed single-cell RNA-seq with ovarian cancers, normal ovary, and embryo tissue to explore their heterogeneity. Then the differentiation process of clusters was explored; the pivotal cluster and markers were identified. Furthermore, the consensus clustering algorithm was used to explore the different clinical phenotypes in OC. At last, a prognostic model was construct and used to assess the prognosis for OCs. As a result, eight diverse clusters were identified, and the similarity existed in some clusters between embryo and tumours based on their gene expression. Meaningfully, a subtype of malignant epithelial cluster, PEG10+ EME, was associated with poor survival and was an intermediate stage of embryo to tumour. PEG10 was a CSC marker and might influence CSC self-renewal and promote cisplatin resistance via NOTCH pathway. Utilising specific gene profiles of PEG10+ EME based on public data sets, four phenotypes with different survival and clinical response to anti-PD-1/PD-L1 immunotherapy were identified. These insights allowed for the investigation of single-cell transcriptome of OCs and embryo, which advanced our current understanding of OC pathogenesis and resulted in promising therapeutic strategies.
format	article
author	Hongyu Zhao Yan Gao Jinwei Miao Suwen Chen Jie Li Zhefeng Li Chenghong Yin Wentao Yue
author_facet	Hongyu Zhao Yan Gao Jinwei Miao Suwen Chen Jie Li Zhefeng Li Chenghong Yin Wentao Yue
author_sort	Hongyu Zhao
title	Single-cell RNA-seq highlights a specific carcinoembryonic cluster in ovarian cancer
title_short	Single-cell RNA-seq highlights a specific carcinoembryonic cluster in ovarian cancer
title_full	Single-cell RNA-seq highlights a specific carcinoembryonic cluster in ovarian cancer
title_fullStr	Single-cell RNA-seq highlights a specific carcinoembryonic cluster in ovarian cancer
title_full_unstemmed	Single-cell RNA-seq highlights a specific carcinoembryonic cluster in ovarian cancer
title_sort	single-cell rna-seq highlights a specific carcinoembryonic cluster in ovarian cancer
publisher	Nature Publishing Group
publishDate	2021
url	https://doaj.org/article/79794bdad5ea443bbdddb96266736583
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Single-cell RNA-seq highlights a specific carcinoembryonic cluster in ovarian cancer

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