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Usage Information

Injury promotes sarcoma development in a genetically and temporally restricted manner
David Van Mater, Eric Xu, Anupama Reddy, Leonor Añó, Mohit Sachdeva, Wesley Huang, Nerissa Williams, Yan Ma, Cassandra Love, Lanie Happ, Sandeep Dave, David G. Kirsch
David Van Mater, Eric Xu, Anupama Reddy, Leonor Añó, Mohit Sachdeva, Wesley Huang, Nerissa Williams, Yan Ma, Cassandra Love, Lanie Happ, Sandeep Dave, David G. Kirsch
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Research Article Oncology

Injury promotes sarcoma development in a genetically and temporally restricted manner

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Abstract

Cancer results from the accumulation of genetic mutations in a susceptible cell of origin. We and others have also shown that injury promotes sarcoma development, but how injury cooperates with genetic mutations at the earliest stages of tumor formation is not known. Here, we utilized dual recombinase technology to dissect the complex interplay of the timing of KrasG12D activation, p53 deletion, and muscle injury in sarcomagenesis using a primary mouse model of soft tissue sarcoma. When mutations in oncogenic Kras and p53 are separated by 3 weeks, few sarcomas develop without injury. However, the transformation potential of these tumor-initiating cells can be unmasked by muscle injury. In the absence of Kras mutations, injury of the muscle with global deletion of p53 results in sarcomas with amplification of chromosomal regions encompassing the Met or Yap1 gene. These findings demonstrate a complex interplay between the timing of genetic mutations and perturbations in the tumor microenvironment, which provides insight into the earliest stages of sarcoma development.

Authors

David Van Mater, Eric Xu, Anupama Reddy, Leonor Añó, Mohit Sachdeva, Wesley Huang, Nerissa Williams, Yan Ma, Cassandra Love, Lanie Happ, Sandeep Dave, David G. Kirsch

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Usage data is cumulative from August 2025 through August 2026.

Usage JCI PMC
Text version 1,723 73
PDF 258 13
Figure 1,111 4
Supplemental data 152 0
Citation downloads 386 0
Totals 3,630 90
Total Views 3,720

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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