Title |
Animal models of colorectal cancer
|
---|---|
Published in |
Cancer and Metastasis Reviews, October 2012
|
DOI | 10.1007/s10555-012-9404-6 |
Pubmed ID | |
Authors |
Robert L. Johnson, James C. Fleet |
Abstract |
Colorectal cancer is a heterogeneous disease that afflicts a large number of people in the USA. The use of animal models has the potential to increase our understanding of carcinogenesis, tumor biology, and the impact of specific molecular events on colon biology. In addition, animal models with features of specific human colorectal cancers can be used to test strategies for cancer prevention and treatment. In this review, we provide an overview of the mechanisms driving human cancer, we discuss the approaches one can take to model colon cancer in animals, and we describe a number of specific animal models that have been developed for the study of colon cancer. We believe that there are many valuable animal models to study various aspects of human colorectal cancer. However, opportunities for improving upon these models exist. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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France | 2 | <1% |
United Kingdom | 1 | <1% |
Belgium | 1 | <1% |
Denmark | 1 | <1% |
Spain | 1 | <1% |
United States | 1 | <1% |
Unknown | 300 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 87 | 28% |
Student > Master | 46 | 15% |
Researcher | 38 | 12% |
Student > Bachelor | 32 | 10% |
Student > Doctoral Student | 17 | 6% |
Other | 40 | 13% |
Unknown | 47 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 70 | 23% |
Agricultural and Biological Sciences | 69 | 22% |
Medicine and Dentistry | 38 | 12% |
Pharmacology, Toxicology and Pharmaceutical Science | 19 | 6% |
Immunology and Microbiology | 13 | 4% |
Other | 35 | 11% |
Unknown | 63 | 21% |