Method of classifying a breast cancer instrinsic subtype

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United States of America Patent

PATENT NO 9631239
APP PUB NO 20110145176A1
SERIAL NO

12995450

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Abstract

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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.

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Patent Owner(s)

Patent OwnerAddress
UNIVERSITY OF UTAH RESEARCH FOUNDATION615 ARAPEEN DR SUITE 310 SALT LAKE CITY UT 84108

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Bernard, Philip S Salt Lake City, US 20 313
Cheang, Maggie Vancouver, CA 4 31
Ellis, Matthew St. Louis, US 32 213
Mardis, Elaine Troy, US 8 34
Marron, James Stephen Durham, US 5 31
Nielsen, Torsten O North Vancouver, CA 15 150
Nobel, Andrew Chapel Hill, US 7 31
Parker, Joel S Apex, US 19 74
Perou, Charles M Carrboro, US 33 273

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