Prostate cancer diagnosis and outcome prediction by expression analysis

a technology of expression analysis and prostate cancer, applied in the field of prostate cancer diagnosis and outcome prediction by expression analysis, can solve the problems of difficult classification of individual samples into particular disease classes, ineffective or harmful treatment, incorrect diagnosis and treatment, etc., and achieve the effect of reducing levels, less effective, and reducing levels
US20060008838A1Inactive Publication Date: 2006-01-12WHITEHEAD INST FOR BIOMEDICAL RES +1
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Patent Information

Authority / Receiving Office
US · United States
Patent Type
Applications(United States)
Current Assignee / Owner
WHITEHEAD INST FOR BIOMEDICAL RES
Publication Date
2006-01-12
Estimated Expiration
Not applicable · inactive patent

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Abstract

Methods identifying prostate cancer, methods for prognosing and diagnosing prostate cancer, methods for identifying a compound that modulates prostate cancer development, methods for determining the efficacy of a prostate cancer therapy, and oligonucleotide microarrays containing probes for genes involved in prostate cancer development are described.
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Description

RELATED APPLICATION

[0001] This application is a continuation of U.S. patent application Ser. No. 10 / 325,457, filed on Dec. 19, 2002, which claims the benefit of U.S. Provisional Application No. 60 / 343,448, filed Dec. 21, 2001. The entire teachings of the above application are incorporated herein by reference.GOVERNMENT SUPPORT

[0002] The invention was supported, in whole or in part, by a grant NIH 1U01CA84995 from the National Institutes of Health. The Government has certain rights in the invention.BACKGROUND OF THE INVENTION

[0003] Classification of biological samples from individuals is not an exact science. In many instances, accurate diagnosis and safe and effective treatment of a disorder depend on being able to discern biological distinctions among cell or tissue samples from a particular area of the body, such as prostate cancer samples and normal prostate samples. The classification of a sample from an individual into particular disease classes has often proven to be diffic...

Claims

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