Literature DB >> 24492770

Translational therapeutics in genetically engineered mouse models of cancer.

Kenneth P Olive1, Katerina Politi.   

Abstract

Advances in knowledge of the molecular alterations of human cancers, refinements in technologies for the generation of genetically engineered mouse models (GEMMs), and the development of cancer therapies have accelerated in recent years. Progress in these fields provides the foundation for clinically relevant studies to be performed in GEMMs, through which it is possible to glean information on drug efficacy and to identify determinants of sensitivity and resistance to drugs and drug combinations. GEMMs used in pre-, co-, and postclinical studies must closely recapitulate the genetics, histopathology, and response to therapy of the human disease. Prevention and intervention trials can be designed in GEMMs to test the effects of drugs on tumor initiation, regression, and progression. Given their complexity, careful consideration of the infrastructure requirements and practical aspects of each individual experiment, including enrollment, tumor monitoring, and dose and schedule, must be considered in the design of therapeutic studies in GEMMs. Advantages of GEMMs include the ability to rapidly perform drug efficacy studies in a defined genetic background, the ease of pharmacodynamic and pharmacokinetic assessments, and the possibility of experimentally manipulating model systems to address questions that cannot be addressed in patients. In light of these features, GEMMs are useful tools for translational studies to inform clinical trials in cancer patients.

Entities:  

Mesh:

Year:  2014        PMID: 24492770     DOI: 10.1101/pdb.top069997

Source DB:  PubMed          Journal:  Cold Spring Harb Protoc        ISSN: 1559-6095


  3 in total

1.  Utilizing High Resolution Ultrasound to Monitor Tumor Onset and Growth in Genetically Engineered Pancreatic Cancer Models.

Authors:  Robert-Guenther Goetze; Soeren M Buchholz; Shilpa Patil; Golo Petzold; Volker Ellenrieder; Elisabeth Hessmann; Albrecht Neesse
Journal:  J Vis Exp       Date:  2018-04-07       Impact factor: 1.355

Review 2.  Optimizing mouse models for precision cancer prevention.

Authors:  Clémentine Le Magnen; Aditya Dutta; Cory Abate-Shen
Journal:  Nat Rev Cancer       Date:  2016-02-19       Impact factor: 60.716

3.  Hyaluronic acid nanoparticle-encapsulated microRNA-125b repolarizes tumor-associated macrophages in pancreatic cancer.

Authors:  Neha N Parayath; Brian V Hong; Gerardo G Mackenzie; Mansoor M Amiji
Journal:  Nanomedicine (Lond)       Date:  2021-09-28       Impact factor: 6.096

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.