Linked Life Data

19412622

Source:http://linkedlifedata.com/resource/pubmed/id/19412622

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
2
pubmed:dateCreated
2010-2-25
pubmed:abstractText
Soft tissue sarcomas are malignant neoplasms derived from mesenchymal tissues. Their pathogenesis is poorly understood and there are few effective treatment options for advanced disease. In the past decade, gene expression profiling has been applied to sarcomas to facilitate understanding of sarcoma pathogenesis and to identify diagnostic, prognostic, and predictive markers. In this paper, we review this body of work and discuss how gene expression profiling has led to advancements in the understanding of sarcoma pathobiology, the identification of clinically useful biomarkers, and the refinement of sarcoma classification schemes. Lastly, we conclude with a discussion of strategies to further optimize the translation of gene expression data into a greater understanding of sarcoma pathogenesis and improved clinical outcomes for sarcoma patients.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Feb
pubmed:issn
1432-2307
pubmed:author
pubmed:issnType
Electronic
pubmed:volume
456
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
141-51
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Gene expression profiling for the investigation of soft tissue sarcoma pathogenesis and the identification of diagnostic, prognostic, and predictive biomarkers.
pubmed:affiliation
Pathology Department, Stanford University Medical Center, Stanford, CA 94305, USA.
pubmed:publicationType
Journal Article, Review