GENE EXPRESSION PROFILES TO PREDICT BREAST CANCER OUTCOMES

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United States of America Patent

APP PUB NO 20160168645A1
SERIAL NO

14931597

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ATTORNEY / AGENT: (SPONSORED)

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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 UTAH201 S PRESIDENTS CIRCLE SALT LAKE CITY UT 84112

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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Bernard, Philip S Salt Lake City, US 19 287
Cheang, Maggie Vancouver, CA 4 28
Ellis, Matthew St. Louis, US 31 191
Mardis, Elaine Troy, US 8 29
Marron, James S Durham, US 3 15
Nielsen, Torsten O North Vancouver, CA 15 129
Nobel, Andrew Chapel Hill, US 7 28
Parker, Joel S Apex, US 15 61
PEROU, Charles M Carrboro, US 32 233

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