Overview of Genetically Engineered Mouse Models of Papillary and Anaplastic Thyroid Cancers: Enabling Translational Biology for Patient Care Improvement.

Charles, Roch-Philippe (2015). Overview of Genetically Engineered Mouse Models of Papillary and Anaplastic Thyroid Cancers: Enabling Translational Biology for Patient Care Improvement. Current protocols in pharmacology, 69, 14.33.1-14.33.14. Wiley 10.1002/0471141755.ph1433s69

[img] Text
Charles_ph1433.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (995kB)

The prognosis from thyroid cancer subtypes in humans covers a spectrum from "cured at almost 90%" to "100% lethal." Invasive and poorly differentiated forms of thyroid cancer are among the most aggressive human cancers, and there are few effective therapeutic options. Genetically engineered mice, based on mutations observed in patients, can accurately recapitulate the human disease and its progression, providing invaluable tools for the preclinical evaluation of novel therapeutic approaches. This overview details models developed to date as well as their uses for identifying novel anticancer agents. © 2015 by John Wiley & Sons, Inc.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Pre-clinic Human Medicine > Institute of Biochemistry and Molecular Medicine

UniBE Contributor:

Charles, Roch-Philippe

Subjects:

500 Science > 570 Life sciences; biology
600 Technology > 610 Medicine & health

ISSN:

1934-8290

Publisher:

Wiley

Language:

English

Submitter:

Roch-Philippe Charles

Date Deposited:

29 Feb 2016 16:38

Last Modified:

05 Dec 2022 14:52

Publisher DOI:

10.1002/0471141755.ph1433s69

PubMed ID:

26344211

Uncontrolled Keywords:

BRAF mutations; cancer model; genetically engineered mice; papillary and anaplastic thyroid cancer; pre-clinical platform

BORIS DOI:

10.7892/boris.76364

URI:

https://boris.unibe.ch/id/eprint/76364

Actions (login required)

Edit item Edit item
Provide Feedback