| abstract |
This disclosure relates to methods, computer products, computer-implemented methods, and systems for predicting the probability or risk of prostate cancer recurrence and tumor aggressiveness in a patient. The method is based, in part, on the patient's risk profile that includes the presence/degree of specific copy number variations and predictive clinical factors. The methods and systems can be used to aid in treatment selection. |