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Usage Information

ASK1-dependent endothelial cell activation is critical in ovarian cancer growth and metastasis
Mingzhu Yin, Huanjiao Jenny Zhou, Jiqin Zhang, Caixia Lin, Hongmei Li, Xia Li, Yonghao Li, Haifeng Zhang, David G. Breckenridge, Weidong Ji, Wang Min
Mingzhu Yin, Huanjiao Jenny Zhou, Jiqin Zhang, Caixia Lin, Hongmei Li, Xia Li, Yonghao Li, Haifeng Zhang, David G. Breckenridge, Weidong Ji, Wang Min
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Research Article Oncology Therapeutics

ASK1-dependent endothelial cell activation is critical in ovarian cancer growth and metastasis

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Abstract

We have recently reported that tumor-associated macrophages (TAMs) promote early transcoelomic metastasis of ovarian cancer by facilitating TAM–ovarian cancer cell spheroid formation. ASK1 is known to be important for macrophage activation and inflammation-mediated tumorigenesis. In the present study, we show that ASK1 deficiency attenuates TAM-spheroid formation and ovarian cancer progression in an orthotopic ovarian cancer model. Interestingly, ASK1 in stroma, but not in TAMs, is critical for peritoneal tumor growth of ovarian cancer. Moreover, overexpression of an ASK1 inhibitory protein (suppressor of cytokine signaling-1; SOCS1) in vascular endothelium attenuates vascular permeability, TAM infiltration, and ovarian cancer growth. Mechanistically, we show that ASK1 mediates degradation of endothelial junction protein VE-cadherin via a lysosomal pathway to promote macrophage transmigration. Importantly, a pharmacological ASK1 inhibitor prevents tumor-induced vascular leakage, macrophage infiltration, and tumor growth in two mouse models. Since transcoelomic metastasis is also associated with many other cancers, such as pancreatic and colon cancers, our study provides ASK1 as a therapeutic target for the treatment of ovarian cancer and other transcoelomic metastasis cancers.

Authors

Mingzhu Yin, Huanjiao Jenny Zhou, Jiqin Zhang, Caixia Lin, Hongmei Li, Xia Li, Yonghao Li, Haifeng Zhang, David G. Breckenridge, Weidong Ji, Wang Min

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Usage data is cumulative from December 2024 through December 2025.

Usage JCI PMC
Text version 428 93
PDF 74 30
Figure 609 3
Supplemental data 52 3
Citation downloads 121 0
Totals 1,284 129
Total Views 1,413
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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