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Usage Information

Differentiation-induced skin cancer suppression by FOS, p53, and TACE/ADAM17
Juan Guinea-Viniegra, Rainer Zenz, Harald Scheuch, María Jiménez, Latifa Bakiri, Peter Petzelbauer, Erwin F. Wagner
Juan Guinea-Viniegra, Rainer Zenz, Harald Scheuch, María Jiménez, Latifa Bakiri, Peter Petzelbauer, Erwin F. Wagner
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Research Article Oncology

Differentiation-induced skin cancer suppression by FOS, p53, and TACE/ADAM17

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Abstract

Squamous cell carcinomas (SCCs) are heterogeneous and aggressive skin tumors for which innovative, targeted therapies are needed. Here, we identify a p53/TACE pathway that is negatively regulated by FOS and show that the FOS/p53/TACE axis suppresses SCC by inducing differentiation. We found that epidermal Fos deletion in mouse tumor models or pharmacological FOS/AP-1 inhibition in human SCC cell lines induced p53 expression. Epidermal cell differentiation and skin tumor suppression were caused by a p53-dependent transcriptional activation of the metalloprotease TACE/ADAM17 (TNF-α–converting enzyme), a previously unknown p53 target gene that was required for NOTCH1 activation. Although half of cutaneous human SCCs display p53-inactivating mutations, restoring p53/TACE activity in mouse and human skin SCCs induced tumor cell differentiation independently of the p53 status. We propose FOS/AP-1 inhibition or p53/TACE reactivating strategies as differentiation-inducing therapies for SCCs.

Authors

Juan Guinea-Viniegra, Rainer Zenz, Harald Scheuch, María Jiménez, Latifa Bakiri, Peter Petzelbauer, Erwin F. Wagner

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Usage data is cumulative from August 2025 through August 2026.

Usage JCI PMC
Text version 1,035 47
PDF 223 8
Figure 636 4
Supplemental data 131 8
Citation downloads 228 0
Totals 2,253 67
Total Views 2,320
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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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ISSN: 0021-9738 (print), 1558-8238 (online)

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