Mouse models for the discovery of colorectal cancer driver genes

Christopher R. Clark, Timothy K. Starr

Research output: Contribution to journalReview articlepeer-review

4 Scopus citations

Abstract

Colorectal cancer (CRC) constitutes a major public health problem as the third most commonly diagnosed and third most lethal malignancy worldwide. The prevalence and the physical accessibility to colorectal tumors have made CRC an ideal model for the study of tumor genetics. Early research efforts using patient derived CRC samples led to the discovery of several highly penetrant mutations (e.g., APC, KRAS, MMR genes) in both hereditary and sporadic CRC tumors. This knowledge has enabled researchers to develop genetically engineered and chemically induced tumor models of CRC, both of which have had a substantial impact on our understanding of the molecular basis of CRC. Despite these advances, the morbidity and mortality of CRC remains a cause for concern and highlight the need to uncover novel genetic drivers of CRC. This review focuses on mouse models of CRC with particular emphasis on a newly developed cancer gene discovery tool, the Sleeping Beauty transposon-based mutagenesis model of CRC.

Original languageEnglish (US)
Pages (from-to)815-822
Number of pages8
JournalWorld journal of gastroenterology
Volume22
Issue number2
DOIs
StatePublished - Jan 14 2016

Bibliographical note

Funding Information:
Supported by 3M Science and Technology Fellowship Award (to Clark CR); National Cancer Institute of the National Institutes of Health, No. 5R00CA151672-03 (to Star TK).

Publisher Copyright:
© The Author(s) 2016. Published by Baishideng Publishing Group Inc. All rights reserved.

Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.

Keywords

  • Cancer genes
  • Colorectal cancer
  • Insertional mutagenesis
  • Mouse models
  • Transposable elements

Fingerprint

Dive into the research topics of 'Mouse models for the discovery of colorectal cancer driver genes'. Together they form a unique fingerprint.

Cite this