Genomic Health, Inc.

Chiron Corporation

Tanox, Inc.

Lxr Biotechnology, Inc.

Other

Genentech, Inc.

Genetech, Inc.

Atairgin Technologies, Inc.

Genetrol Biotherapeutics, Inc.

Michael C Kiefer

Philip J Barr

Joffre B Baker

Audrey Goddard

Maureen T Cronin

Steven Shak

Michael Graham Walker

Frank R Masiarz

Tara Maddala

Steve Shak

Frederick L Baehner

Wayne Cowens

Dejan Knezevic

James Hackett

Paul Andrew Fitzpatrick

Helen L Gibson

Dennis L Andress

Walter Hans Born

Jurgen Johann Zapf

John P Shapiro

Michael R Crager

Mark Lee

J Graham Goddard

Robert J Pelham

James R Erickson

Diana Cherbavaz

Kenneth W Hoyt

Randy Scott

Allan S Lau

Natalya K Ossina

Robert Pelham

Natasha Ossina

Randal W Scott

The present disclosure provides gene and gene sets, the expression of which is important in the classification and/or prognosis of cancer, in particular of renal cell carcinoma.

Method to use gene expression to determine likelihood of clinical outcome of renal cancer

The present disclosure includes assays that involve measurement of expression levels of prognostic biomarkers, or co-expressed biomarkers, from a biological sample obtained from a prostate cancer patient, and analysis of the measured expression levels to provide information concerning the likely prognosis for the patient, and likelihood that the patient will have a recurrence of prostate cancer, or to classify the tumor by likelihood of clinical outcome or TMPRSS2 fusion status.

Method for using gene expression to determine prognosis of prostate cancer

The invention concerns sensitive methods to measure mRNA levels in biopsied tumor tissues, including archived paraffin-embedded biopsy material. The invention also concerns breast cancer gene sets important in the diagnosis and treatment of breast cancer, and methods for assigning the most optimal treatment options to breast cancer patient based upon knowledge derived from gene expression studies.

Gene expression profiling in biopsied tumor tissues

The invention concerns genes that have been identified as being involved in estrogen metabolism, and are useful as diagnostic, prognostic and/or predictive markers in cancer. In particular, the invention concerns genes the tumor expression levels of which are useful in the diagnosis of cancers associated with estrogen metabolism, and/or in the prognosis of clinical outcome and/or prediction of drug response of such cancers.

Genes involved in estrogen metabolism

The invention relates to methods of using fragmented RNA, such as RNA obtained from archived fixed paraffin-embedded tissue material (FPET RNA) or other clinically biopsied tissue specimens for universal gene expression profiling.

Universal amplification of fragmented RNA

The present invention provide polynucleotide sequences encoding a Bak Binding Protein (BBP) and fragments thereof that bind to Bak. The invention also provide recombinant host cells containing polynucleotides encoding BBP. The invention further provide antibodies that specifically bind to BBP. The invention further provide methods for detecting agents such as drugs that alter the binding of a BBP with a Bak protein. The invention further provide methods for detecting the presence of Bak polynucleotides and the encoding proteins in a biological sample, and further provide methods for modulating the levels of BBP in a cell. This invention additionally encompasses novel peptides, designated the 'BBP Binding Domains' and the respective nucleotides, designated 'bbpbd-1' and &#x201c;bbpbd-2&#x201d; which are involved in the interaction between Bak and BBP.

Bak binding protein, DNA encoding the protein, and methods of use thereof

Genes involved estrogen metabolism

The invention is based on the use of intronic RNA in monitoring gene expression. Accordingly, the present invention concerns methods of gene expression profiling using intronic RNA, the expression of which correlates with the expression of corresponding exonic RNA, and diagnostic and prognostic methods based on the results of such gene expression studies.

Use of intronic RNA to measure gene expression

Growing community of inventors

Clayton, CA, United States of America

Michael C Kiefer