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Usage Information

Intestinal epithelial glucocorticoid receptor promotes chronic inflammation–associated colorectal cancer
Shuang Tang, … , John A. Cidlowski, Xiaoling Li
Shuang Tang, … , John A. Cidlowski, Xiaoling Li
Published November 16, 2021
Citation Information: JCI Insight. 2021;6(24):e151815. https://doi.org/10.1172/jci.insight.151815.
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Research Article Gastroenterology Oncology

Intestinal epithelial glucocorticoid receptor promotes chronic inflammation–associated colorectal cancer

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Abstract

Synthetic immunosuppressive glucocorticoids (GCs) are widely used to control inflammatory bowel disease (IBD). However, the impact of GC signaling on intestinal tumorigenesis remains controversial. Here, we report that intestinal epithelial GC receptor (GR), but not whole intestinal tissue GR, promoted chronic intestinal inflammation-associated colorectal cancer in both humans and mice. In patients with colorectal cancer, GR was enriched in intestinal epithelial cells and high epithelial cell GR levels were associated with poor prognosis. Consistently, intestinal epithelium–specific deletion of GR (GR iKO) in mice increased macrophage infiltration, improved tissue recovery, and enhanced antitumor response in a chronic inflammation–associated colorectal cancer model. Consequently, GR iKO mice developed fewer and less advanced tumors than control mice. Furthermore, oral GC administration in the early phase of tissue injury delayed recovery and accelerated the formation of aggressive colorectal cancers. Our study reveals that intestinal epithelial GR signaling repressed acute colitis but promoted chronic inflammation–associated colorectal cancer. Our study suggests that colorectal epithelial GR could serve as a predictive marker for colorectal cancer risk and prognosis. Our findings further suggest that, although synthetic GC treatment for IBD should be used with caution, there is a therapeutic window for GC therapy during colorectal cancer development in immunocompetent patients.

Authors

Shuang Tang, Zhan Zhang, Robert H. Oakley, Wenling Li, Weijing He, Xiaojiang Xu, Ming Ji, Qing Xu, Liang Chen, Alicia S. Wellman, Qingguo Li, Leping Li, Jian-Liang Li, Xinxiang Li, John A. Cidlowski, Xiaoling Li

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Usage data is cumulative from November 2021 through July 2022.

Usage JCI PMC
Text version 4,166 150
PDF 718 35
Figure 190 7
Table 22 0
Supplemental data 145 21
Citation downloads 38 0
Totals 5,279 213
Total Views 5,492

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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