Unknown,Transcriptomics,Genomics,Proteomics

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Transcription profiling of human breast cancer samples to generate an expression signature for p53 status


ABSTRACT: The biological tumor samples (ie, breast tumor specimens) consisted of freshly frozen breast tumors from a population-based cohort of 315 women representing 65% of all breast cancers resected in Uppsala County, Sweden, from January 1, 1987 to December 31, 1989. Estrogen receptor status was determined by biochemical assay as part of the routine clinical procedure. An experienced pathologist determined the Elston-Ellis grades of the tumors, classifying the tumors into low, medium and high-grade tumors. The clinico-pathological characteristics accompanying each tumor include p53 status, ER status, tumor grade, lymph node status and patient age. Experiment Overall Design: All tumor specimens were assessed on U133 A and B arrays.

ORGANISM(S): Homo sapiens

SUBMITTER: Lance David Miller 

PROVIDER: E-GEOD-3494 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

An expression signature for p53 status in human breast cancer predicts mutation status, transcriptional effects, and patient survival.

Miller Lance D LD   Smeds Johanna J   George Joshy J   Vega Vinsensius B VB   Vergara Liza L   Ploner Alexander A   Pawitan Yudi Y   Hall Per P   Klaar Sigrid S   Liu Edison T ET   Bergh Jonas J  

Proceedings of the National Academy of Sciences of the United States of America 20050902 38


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 express  ...[more]

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