Back to Search Start Over

Development and translational imaging of a TP53 porcine tumorigenesis model

Authors :
Christopher S. Rogers
Paul W. Naumann
Emily Hammond
Xiao-Jun Wang
Jussara Hagen
J. Adam Goeken
David K. Meyerholz
Richard Van Rheeden
Agshin F. Taghiyev
Frank Rohret
Mariah R. Leidinger
John D. Newell
Jason T. Struzynski
Bryan T. Davis
Judy A. Rohret
Dawn E. Quelle
Benjamin W. Darbro
Jessica C. Sieren
Source :
Journal of Clinical Investigation. 124:4052-4066
Publication Year :
2014
Publisher :
American Society for Clinical Investigation, 2014.

Abstract

Cancer is the second deadliest disease in the United States, necessitating improvements in tumor diagnosis and treatment. Current model systems of cancer are informative, but translating promising imaging approaches and therapies to clinical practice has been challenging. In particular, the lack of a large-animal model that accurately mimics human cancer has been a major barrier to the development of effective diagnostic tools along with surgical and therapeutic interventions. Here, we developed a genetically modified porcine model of cancer in which animals express a mutation in TP53 (which encodes p53) that is orthologous to one commonly found in humans (R175H in people, R167H in pigs). TP53(R167H/R167H) mutant pigs primarily developed lymphomas and osteogenic tumors, recapitulating the tumor types observed in mice and humans expressing orthologous TP53 mutant alleles. CT and MRI imaging data effectively detected developing tumors, which were validated by histopathological evaluation after necropsy. Molecular genetic analyses confirmed that these animals expressed the R167H mutant p53, and evaluation of tumors revealed characteristic chromosomal instability. Together, these results demonstrated that TP53(R167H/R167H) pigs represent a large-animal tumor model that replicates the human condition. Our data further suggest that this model will be uniquely suited for developing clinically relevant, noninvasive imaging approaches to facilitate earlier detection, diagnosis, and treatment of human cancers.

Details

ISSN :
00219738
Volume :
124
Database :
OpenAIRE
Journal :
Journal of Clinical Investigation
Accession number :
edsair.doi.dedup.....cde9a35375c8842dbd67f21649660459