Linked Life Data

21263096

Source:http://linkedlifedata.com/resource/pubmed/id/21263096

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
16
pubmed:dateCreated
2011-5-30
pubmed:abstractText
Genetically engineered mouse models (GEMMs) of human cancer were first created nearly 30 years ago. These early transgenic models demonstrated that mouse cells could be transformed in vivo by expression of an oncogene. A new field emerged, dedicated to generating and using mouse models of human cancer to address a wide variety of questions in cancer biology. The aim of this review is to highlight the contributions of mouse models to the diagnosis and treatment of human cancers. Because of the breadth of the topic, we have selected representative examples of how GEMMs are clinically relevant rather than provided an exhaustive list of experiments. Today, as detailed here, sophisticated mouse models are being created to study many aspects of cancer biology, including but not limited to mechanisms of sensitivity and resistance to drug treatment, oncogene cooperation, early detection, and metastasis. Alternatives to GEMMs, such as chemically induced or spontaneous tumor models, are not discussed in this review.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
1527-7755
pubmed:author
pubmed:issnType
Electronic
pubmed:day
1
pubmed:volume
29
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
2273-81
pubmed:meshHeading
pubmed:year
2011
pubmed:articleTitle
How genetically engineered mouse tumor models provide insights into human cancers.
pubmed:affiliation
Memorial Sloan-Kettering Cancer Center, New York, NY, USA. katerina.politi@yale.edu
pubmed:publicationType
Journal Article, Review, Research Support, N.I.H., Extramural