Gene expression signature characterizing cyclin E protein overexpression in primary breast tumors

Autor: Jennifer Pittman, Christopher L. Tebbit, Holly K. Dressman, Jeffrey R. Marks, Edward Iverson, John A. Olson, Carrie Blanchette
Rok vydání: 2004
Předmět:
Zdroj: Journal of the American College of Surgeons. 199:78-79
ISSN: 1072-7515
Popis: Introduction: Cyclin E protein overexpression has been demonstrated to correlate with recurrence in breast cancer, and does not correlate with gene expression on Affymetrix Hu95 microarrays. We sought to identify a gene expression signature characterizing cyclin E protein overexpression using gene expression data on primary breast tumors. Methods: RNA and protein were extracted from forty-four breast carcinoma specimens from the Duke University Breast Cancer SPORE frozen tissue bank. Fluorescently labeled cDNA probe was generated and hybridized to Affymetrix Hu95 gene chips in the Duke University Microarray Core Facility yielding gene expression data. Cyclin E protein expression was measured by tissue western blot. Prediction Analysis of Microarrays software and clustering algorithms were used to identify differentially expressed genes and to make cyclin E protein overexpression predictions. Results: Of 44 tumors, 12 exhibited cyclin E protein overexpression. There was no correlation between protein overexpression and cyclin E gene expression on the gene array. The 91 genes with greatest differential expression were identified. Supervised hierarchical clustering generated a gene expression cluster separating tumors with high versus low cyclin E protein expression with only one misclassification. Cyclin E protein expression was predicted with 92.3% accuracy using gene expression data in preliminary analysis. Conclusions: A pattern of gene expression in breast tumors exhibiting cyclin E protein overexpression has been identified. This gene expression signature can be incorporated in gene expression based models of outcome prediction, perhaps utilizing the prognostic significance of cyclin E protein overexpression.
Databáze: OpenAIRE