Single‐cell transcriptomes reveal heterogeneity of high‐grade serous ovarian carcinoma

Abstract Background High‐grade serous ovarian carcinoma (HGSOC) is the most common and aggressive histotype of epithelial ovarian cancer. The heterogeneity and molecular basis of this disease remain incompletely understood. Methods To address this question, we have performed a single‐cell transcript...

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Main Authors: Qian Hao, Jiajia Li, Qinghua Zhang, Fei Xu, Bangxiang Xie, Hua Lu, Xiaohua Wu, Xiang Zhou
Format: Article
Language:English
Published: Wiley 2021-08-01
Series:Clinical and Translational Medicine
Subjects:
Online Access:https://doi.org/10.1002/ctm2.500
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spelling doaj-1e5be7a05a1d4274ba87d99098192a962021-08-30T03:42:30ZengWileyClinical and Translational Medicine2001-13262021-08-01118n/an/a10.1002/ctm2.500Single‐cell transcriptomes reveal heterogeneity of high‐grade serous ovarian carcinomaQian Hao0Jiajia Li1Qinghua Zhang2Fei Xu3Bangxiang Xie4Hua Lu5Xiaohua Wu6Xiang Zhou7Fudan University Shanghai Cancer Center and Institutes of Biomedical Sciences Fudan University Shanghai ChinaDepartment of Gynecologic Oncology, Fudan University Shanghai Cancer Center Fudan University Shanghai ChinaFudan University Shanghai Cancer Center and Institutes of Biomedical Sciences Fudan University Shanghai ChinaDepartment of Gynecologic Oncology, Fudan University Shanghai Cancer Center Fudan University Shanghai ChinaBeijing YouAn Hospital, Capital Medical University Beijing Institute of Hepatology Beijing ChinaDepartment of Biochemistry & Molecular Biology and Tulane Cancer Center Tulane University School of Medicine New Orleans LouisianaDepartment of Gynecologic Oncology, Fudan University Shanghai Cancer Center Fudan University Shanghai ChinaFudan University Shanghai Cancer Center and Institutes of Biomedical Sciences Fudan University Shanghai ChinaAbstract Background High‐grade serous ovarian carcinoma (HGSOC) is the most common and aggressive histotype of epithelial ovarian cancer. The heterogeneity and molecular basis of this disease remain incompletely understood. Methods To address this question, we have performed a single‐cell transcriptomics analysis of matched primary and metastatic HGSOC samples. Results A total of 13 571 cells are categorized into six distinct cell types, including epithelial cells, fibroblast cells, T cells, B cells, macrophages, and endothelial cells. A subset of aggressive epithelial cells with hyperproliferative and drug‐resistant potentials is identified. Several new markers that are highly expressed in epithelial cells are characterized, and their roles in ovarian cancer cell growth and migration are further confirmed. Dysregulation of multiple signaling pathways, including the translational machinery, is associated with ovarian cancer metastasis through the trajectory analysis. Moreover, single‐cell regulatory network inference and clustering (SCENIC) analysis reveals the gene regulatory networks and suggests the JUN signaling pathway as a potential therapeutic target for treatment of ovarian cancer, which is validated using the JUN/AP‐1 inhibitor T‐5224. Finally, our study depicts the epithelial‐fibroblast cell communication atlas and identifies several important receptor‐ligand complexes in ovarian cancer development. Conclusions This study uncovers new molecular features and the potential therapeutic target of HGSOC, which would advance the understanding and treatment of the disease.https://doi.org/10.1002/ctm2.500chemoresistancegene regulatory networkintercellular communicationmetastasissingle‐cell RNA‐seq
collection DOAJ
language English
format Article
sources DOAJ
author Qian Hao
Jiajia Li
Qinghua Zhang
Fei Xu
Bangxiang Xie
Hua Lu
Xiaohua Wu
Xiang Zhou
spellingShingle Qian Hao
Jiajia Li
Qinghua Zhang
Fei Xu
Bangxiang Xie
Hua Lu
Xiaohua Wu
Xiang Zhou
Single‐cell transcriptomes reveal heterogeneity of high‐grade serous ovarian carcinoma
Clinical and Translational Medicine
chemoresistance
gene regulatory network
intercellular communication
metastasis
single‐cell RNA‐seq
author_facet Qian Hao
Jiajia Li
Qinghua Zhang
Fei Xu
Bangxiang Xie
Hua Lu
Xiaohua Wu
Xiang Zhou
author_sort Qian Hao
title Single‐cell transcriptomes reveal heterogeneity of high‐grade serous ovarian carcinoma
title_short Single‐cell transcriptomes reveal heterogeneity of high‐grade serous ovarian carcinoma
title_full Single‐cell transcriptomes reveal heterogeneity of high‐grade serous ovarian carcinoma
title_fullStr Single‐cell transcriptomes reveal heterogeneity of high‐grade serous ovarian carcinoma
title_full_unstemmed Single‐cell transcriptomes reveal heterogeneity of high‐grade serous ovarian carcinoma
title_sort single‐cell transcriptomes reveal heterogeneity of high‐grade serous ovarian carcinoma
publisher Wiley
series Clinical and Translational Medicine
issn 2001-1326
publishDate 2021-08-01
description Abstract Background High‐grade serous ovarian carcinoma (HGSOC) is the most common and aggressive histotype of epithelial ovarian cancer. The heterogeneity and molecular basis of this disease remain incompletely understood. Methods To address this question, we have performed a single‐cell transcriptomics analysis of matched primary and metastatic HGSOC samples. Results A total of 13 571 cells are categorized into six distinct cell types, including epithelial cells, fibroblast cells, T cells, B cells, macrophages, and endothelial cells. A subset of aggressive epithelial cells with hyperproliferative and drug‐resistant potentials is identified. Several new markers that are highly expressed in epithelial cells are characterized, and their roles in ovarian cancer cell growth and migration are further confirmed. Dysregulation of multiple signaling pathways, including the translational machinery, is associated with ovarian cancer metastasis through the trajectory analysis. Moreover, single‐cell regulatory network inference and clustering (SCENIC) analysis reveals the gene regulatory networks and suggests the JUN signaling pathway as a potential therapeutic target for treatment of ovarian cancer, which is validated using the JUN/AP‐1 inhibitor T‐5224. Finally, our study depicts the epithelial‐fibroblast cell communication atlas and identifies several important receptor‐ligand complexes in ovarian cancer development. Conclusions This study uncovers new molecular features and the potential therapeutic target of HGSOC, which would advance the understanding and treatment of the disease.
topic chemoresistance
gene regulatory network
intercellular communication
metastasis
single‐cell RNA‐seq
url https://doi.org/10.1002/ctm2.500
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