Decipher Biosciences, Inc.

The University of British Columbia

University of Michigan

Hussam Al-Deen Ashab

Elai Davicioni

Nicholas Erho

Shuang Zhao

Felix Y Feng

S Laura Chang

Peter Black

Sei-Won Laura Chang

Mohammed Alshalalfa

Shuang G Zhao

Methods, compositions, and kits for identifying individuals who will be responsive to post-operative radiation therapy for treatment of prostate cancer are disclosed. In particular, the invention relates to a genomic signature based on expression levels of DNA Damage Repair genes that can be used to identify individuals likely to benefit from post-operative radiation therapy after a prostatectomy.

Use of genomic signatures to predict responsiveness of patients with prostate cancer to post-operative radiation therapy

The present invention relates to methods, systems and kits for the diagnosis, prognosis, and treatment of bladder cancer in a subject. The invention also provides biomarkers that define subgroups of bladder cancer, clinically useful classifiers for distinguishing bladder cancer subtypes, bioinformatic methods for determining clinically useful classifiers, and methods of use of each of the foregoing. The methods, systems and kits can provide expression-based analysis of biomarkers for purposes of subtyping bladder cancer in a subject. Further disclosed herein, in certain instances, are probe sets for use in subtyping bladder cancer in a subject. Classifiers for subtyping a bladder cancer are provided. Methods of treating bladder cancer based on molecular subtyping are also provided.

Molecular subtyping, prognosis, and treatment of bladder cancer

The present invention relates to methods, systems and kits for the diagnosis, prognosis and the determination of cancer progression of prostate cancer in a subject. The invention also provides clinically useful genomic classifiers for predicting prostate cancer metastasis and identifying tumor aggressiveness. The methods, systems and kits can provide expression-based analysis of biomarkers for purposes of predicting metastatic disease and lethal prostate cancer in a subject. Further disclosed herein, in certain instances, are probe sets for use in predicting prostate cancer metastasis in a subject. Classifiers for predicting prostate cancer metastasis are provided. Methods of treating cancer based on tumor aggressiveness are also provided. The methods and classifiers of the present invention are also useful for predicting early prostate cancer metastasis.

Genetic signatures to predict prostate cancer metastasis and identify tumor aggressiveness

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Vancouver, Canada

Hussam Al-Deen Ashab