Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
38
pubmed:dateCreated
2005-9-21
pubmed:abstractText
Perturbations of the p53 pathway are associated with more aggressive and therapeutically refractory tumors. However, molecular assessment of p53 status, by using sequence analysis and immunohistochemistry, are incomplete assessors of p53 functional effects. We posited that the transcriptional fingerprint is a more definitive downstream indicator of p53 function. Herein, we analyzed transcript profiles of 251 p53-sequenced primary breast tumors and identified a clinically embedded 32-gene expression signature that distinguishes p53-mutant and wild-type tumors of different histologies and outperforms sequence-based assessments of p53 in predicting prognosis and therapeutic response. Moreover, the p53 signature identified a subset of aggressive tumors absent of sequence mutations in p53 yet exhibiting expression characteristics consistent with p53 deficiency because of attenuated p53 transcript levels. Our results show the primary importance of p53 functional status in predicting clinical breast cancer behavior.
pubmed:commentsCorrections
http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-10101803, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-10471047, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-10656431, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-10786679, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-10815905, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-10822369, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-10969801, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-11103792, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-11289122, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-11309499, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-11481438, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-11823860, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-11896595, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-12058060, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-12619115, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-12829800, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-12917485, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-14654539, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-15193263, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-1905840, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-2046748, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-3276632, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-7489358, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-7577479, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-7973635, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-8673929, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-9399837, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-9495354, http://linkedlifedata.com/resource/pubmed/commentcorrection/16141321-9572492
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
0027-8424
pubmed:author
pubmed:issnType
Print
pubmed:day
20
pubmed:volume
102
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
13550-5
pubmed:dateRevised
2009-11-18
pubmed:meshHeading
pubmed:year
2005
pubmed:articleTitle
An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival.
pubmed:affiliation
Genome Institute of Singapore, 60 Biopolis Street, Singapore 138672. millerl@gis.a-star.edu.sg
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't