West Virginia University

The United States of America, As Represented by the Secretary, Department of Health and Human Services

Nancy Lan Guo

Gert Auer

Jens Habermann

Karl Thomas Ried

Methods of assessing genomic instability in breast cancer tissue by measuring the expression level of genes CDKN2A, SCYA18, STK15, NXF1, cDNA Dkfzp762M127, p28 KIAA0882, MYB, Human clone 23948, RERG, HNF3A, and ACADSB or a nucleic acid sequence comprising about 90% or greater sequence identity to SEQ ID NO: 21 in breast cancer tissue, an array suitable for use in such methods, and related methods and compositions.

Gene expression signature of genomic instability in breast cancer

A first embodiment is a breast cancer prognosticator comprising a detection mechanism consisting a 15-gene signature. In addition there are embodiments comprised of 23-gene signatures and 28-gene signatures. The 28-gene signature may also be used for the prognosis of ovarian cancer. A second embodiment is a method to determine metastatic potential, relapse potential, or both in breast cancer patients comprising collecting a sample from an individual, removing marker-derived polynucleotide from said sample, using a detection mechanism to search for positive matches of said polynucleotides and either the 15, 23, or 28-gene signatures, and developing a quantitative expression profile. Utilizing risk analysis the individual can be placed into one of two or more groups predicting risk and/or clincopathogic variables. Another embodiment is a method to determine relapse free potential in breast cancer patients comprising collecting a sample from an individual, removing marker-derived polynucleotide from said sample, using a detection mechanism to search for positive matches of said polynucleotides and a 24-gene signature, and developing a quantitative expression profile.

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Morgantown, WV, United States of America

Nancy Lan Guo