Translational Relevance and Future Integration of the Oncopig Cancer Model in Preclinical Applications.

Lobna Elkhadragy, Ron C Gaba, Matthew M Niemeyer, Lawrence B Schook, Kyle M Schachtschneider
Author Information
  1. Lobna Elkhadragy: Department of Radiology, University of Illinois at Chicago, Chicago, Illinois, USA; email: lobna@uic.edu, rgaba@uic.edu, mniemeye@uic.edu.
  2. Ron C Gaba: Department of Pathology, University of Illinois at Chicago, Chicago, Illinois, USA.
  3. Matthew M Niemeyer: Department of Radiology, University of Illinois at Chicago, Chicago, Illinois, USA; email: lobna@uic.edu, rgaba@uic.edu, mniemeye@uic.edu.
  4. Lawrence B Schook: Department of Animal Sciences, University of Illinois at Urbana-Champaign, Urbana, Illinois, USA; email: schook@illinois.edu.
  5. Kyle M Schachtschneider: Sus Clinicals, Inc., Chicago, Illinois, USA; email: kyle@susclinicals.com.

Abstract

Porcine cancer models offer a valuable platform for evaluating interventions such as devices, surgeries, and locoregional therapies, which are often challenging to test in mouse models. In addition to size and anatomical similarities with humans, pigs share greater similarities in genetics, immunity, drug metabolism, and metabolic rate with humans as compared to mouse models, increasing their translational relevance. This review focuses on the Oncopig Cancer Model, a genetically engineered porcine model designed to recapitulate human cancer. Harboring a transgenic cassette that expresses oncogenic mutant and under control of a Cre-Lox system, the Oncopig allows temporal and spatial control of tumor induction. Its versatility has enabled the development of diverse cancer models including liver, pancreatic, lung, and bladder cancer. Serving as a clinically relevant model for human cancer, the Oncopig addresses unmet clinical needs and holds immense promise for advancing preclinical cancer research and therapeutic development.

Keywords

MeSH Term

Animals
Disease Models, Animal
Neoplasms
Swine
Humans
Animals, Genetically Modified
Translational Research, Biomedical

Word Cloud

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