Linked Life Data

19668850

Source:http://linkedlifedata.com/resource/pubmed/id/19668850

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
9
pubmed:dateCreated
2009-8-11
pubmed:abstractText
The advent of large scale sequencing methods has enabled analyses of the protein-coding parts of cancer genomes to find the mutated genes that cause common human cancers. Unbiased mutation analyses of human tumors originating in the breast, colon, brain, and pancreas have revealed genomic landscapes composed of a few frequently mutated genes alongside a multitude of infrequently mutated genes. These analyses have revealed a stark heterogeneity in the compendium of mutated genes even among tumors of the same tissue origin, and provide evidence for a larger number of driver mutations during tumorigenesis than hitherto presumed. From the multitude of mutated genes, a limited number of central molecular pathways are emerging. Systems biology approaches will be increasingly important to identify and better define these core pathways. Downstream of genetic analyses, scalable methods for prediction and experimental determination of the phenotypes of mutant alleles and pathways will be instrumental for improved mechanistic understanding of cancer as well as future drug discovery efforts.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
1742-2051
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
5
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
902-8
pubmed:meshHeading
pubmed:year
2009
pubmed:articleTitle
Molecular pathways in tumor progression: from discovery to functional understanding.
pubmed:affiliation
Department of Genetics and Pathology, Uppsala University, SE-751 85 Uppsala, Sweden. tobias.sjoblom@genpat.uu.se.
pubmed:publicationType
Journal Article, Review