Genetic signatures to predict prostate cancer metastasis and identify tumor aggressiveness
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.
1. A method for treating prostate cancer in a subject comprising:
a) obtaining or having obtained an expression level in the sample from the subject with prostate cancer for a plurality of targets comprising SMC4, PABPC1, TRIQK, TIPARP, and AZGP1;
b) subtyping the prostate cancer as metastatic based at least on the expression level of the plurality of targets; and
c) administering a treatment selected from adjuvant chemotherapy, systemic radiation therapy, and/or anti-androgen therapy to the subject when the subtyping of step b) indicates that the prostate cancer is metastatic.
2. The method of claim 1 , wherein the plurality of targets comprise DNA and/or RNA.
3. The method of claim 1 , wherein the biological sample is a urine sample, a blood sample or a prostate tumor sample.