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Usage Information

Epidermal growth factor receptor inhibits colitis-associated cancer in mice
Philip E. Dubé, … , M. Kay Washington, D. Brent Polk
Philip E. Dubé, … , M. Kay Washington, D. Brent Polk
Published July 9, 2012
Citation Information: J Clin Invest. 2012;122(8):2780-2792. https://doi.org/10.1172/JCI62888.
View: Text | PDF
Research Article Oncology

Epidermal growth factor receptor inhibits colitis-associated cancer in mice

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Abstract

Inflammatory bowel disease (IBD) is a chronic illness caused by complex interactions between genetic and environmental factors that propagate inflammation and damage to the gastrointestinal epithelium. This state of chronic inflammation increases the risk for development of colitis-associated cancer in IBD patients. Thus, the development of targeted therapeutics that can disrupt the cycle of inflammation and epithelial injury is highly attractive. However, such biological therapies, including those targeting epidermal growth factor receptor pathways, pose a risk of increasing cancer rates. Using two mouse models of colitis-associated cancer, we found that epidermal growth factor receptor inactivation accelerated the incidence and progression of colorectal tumors. By modulating inflammation and epithelial regeneration, epidermal growth factor receptor optimized the response to chronic inflammation and limited subsequent tumorigenesis. These findings provide important insights into the pathogenesis of colitis-associated cancer and suggest that epidermal growth factor–based therapies for IBD may reduce long-term cancer risk.

Authors

Philip E. Dubé, Fang Yan, Shivesh Punit, Nandini Girish, Steven J. McElroy, M. Kay Washington, D. Brent Polk

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Usage data is cumulative from June 2024 through June 2025.

Usage JCI PMC
Text version 544 196
PDF 72 50
Figure 367 7
Table 96 0
Supplemental data 61 5
Citation downloads 80 0
Totals 1,220 258
Total Views 1,478
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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.

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