Bibliographic Details
Title: |
A single-cell landscape of pre- and post-menopausal high-grade serous ovarian cancer ascites |
Authors: |
Wenying Chen, Hanyuan Liu, Xinya Huang, Lili Qian, Liang Chen, Yonggang Zhou, Yi Liu, Yujie Liu, Yingying Wang, Tianjiao Zhang, Youyang Zhou, Jingwen Fang, Jiaxuan Yang, Fang Ni, Chuang Guo, Ying Zhou |
Source: |
iScience, Vol 26, Iss 10, Pp 107712- (2023) |
Publisher Information: |
Elsevier, 2023. |
Publication Year: |
2023 |
Collection: |
LCC:Science |
Subject Terms: |
Microenvironment, Cancer, Science |
More Details: |
Summary: High-grade serous ovarian cancer (HGSOC) is a hormone-related cancer with high mortality and poor prognosis. Based on the transcriptome of 57,444 cells in ascites from 10 patients with HGSOC (including 5 pre-menopausal and 5 post-menopausal patients), we identified 14 cell clusters which were further classified into 6 cell types, including T cells, B cells, NK cells, myeloid cells, epithelial cells, and stromal cells. We discovered an increased proportion of epithelial cells and a decreased proportion of T cells in pre-menopausal ascites compared with post-menopausal ascites. GO analysis revealed the pre-menopausal tumor microenvironments (TME) are closely associated with viral infection, while the post-menopausal TME are mostly related to the IL-17 immune pathway. SPP1/CD44-mediated crosstalk between myeloid cells and B cells, NK cells, and stromal cells mainly present in the pre-menopausal group, while SPP1/PTGER4 -mediated crosstalk between myeloid cells and epithelial cells mostly present in the post-menopausal group. |
Document Type: |
article |
File Description: |
electronic resource |
Language: |
English |
ISSN: |
2589-0042 |
Relation: |
http://www.sciencedirect.com/science/article/pii/S2589004223017893; https://doaj.org/toc/2589-0042 |
DOI: |
10.1016/j.isci.2023.107712 |
Access URL: |
https://doaj.org/article/f58b81c415564473990ac40027a06886 |
Accession Number: |
edsdoj.f58b81c415564473990ac40027a06886 |
Database: |
Directory of Open Access Journals |