Algorithmic approach for determining the plasma genome abnormality PGA and the urine genome abnormality UGA scores based on cell free cfDNA copy number variations in plasma and urine

摘要

The present invention relates to methods of using cell-free DNA analysis for guiding treatment of advanced prostate cancer. In particular, liquid biopsies are collected from urine and/or plasma of patients for measuring copy number variation in cell-free DNA associated with metastatic prostate cancer. In particular, urine genomic abnormality (UGA) and plasma genomic abnormality (PGA) values are contemplated for use in predicting treatment responses in advanced prostate cancer patients and for use in making decisions related to androgen deprivation therapy (ADT) treatment outcomes in hormone sensitive stage and for starting or changing chemotherapy treatments in castrate resistant advanced cancer stage.