The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Apr. 25, 2017
Filed:
Jun. 01, 2009
Charles M. Perou, Carrboro, NC (US);
Joel S. Parker, Apex, NC (US);
James Stephen Marron, Durham, NC (US);
Andrew Nobel, Chapel Hill, NC (US);
Philip S. Bernard, Salt Lake City, UT (US);
Matthew Ellis, St. Louis, MO (US);
Elaine Mardis, Troy, IL (US);
Torsten O. Nielsen, North Vancouver, CA;
Maggie Cheang, Vancouver, CA;
Charles M. Perou, Carrboro, NC (US);
Joel S. Parker, Apex, NC (US);
James Stephen Marron, Durham, NC (US);
Andrew Nobel, Chapel Hill, NC (US);
Philip S. Bernard, Salt Lake City, UT (US);
Matthew Ellis, St. Louis, MO (US);
Elaine Mardis, Troy, IL (US);
Torsten O. Nielsen, North Vancouver, CA;
Maggie Cheang, Vancouver, CA;
University of Utah Research Foundation, Salt Lake City, UT (US);
British Columbia Cancer Agency Branch, Vancouver, British Columbia, CA;
Washington University, St. Louis, MS (US);
University of North Carolina at Chapel Hill, Chapel Hill, NC (US);
Abstract
Methods for classifying and for evaluating the prognosis of a subject having breast cancer are provided. The methods include prediction of breast cancer subtype using a supervised algorithm trained to stratify subjects on the basis of breast cancer intrinsic subtype. The prediction model is based on the gene expression profile of the intrinsic genes listed in Table 1. This prediction model can be used to accurately predict the intrinsic subtype of a subject diagnosed with or suspected of having breast cancer. Further provided are compositions and methods for predicting outcome or response to therapy of a subject diagnosed with or suspected of having breast cancer. These methods are useful for guiding or determining treatment options for a subject afflicted with breast cancer. Methods of the invention further include means for evaluating gene expression profiles, including microarrays and quantitative polymerase chain reaction assays, as well as kits comprising reagents for practicing the methods of the invention.