Identification of somatic gene signatures in circulating cfDNA associated with disease progression in metastatic prostate cancer by a novel machine learning platform.

Progression from metastatic castration-sensitive (mCSPC) to castration-resistant (mCRPC) state heralds the lethal phenotype of prostate cancer. Identifying genomic alterations associated with mCRPC may help find new targets for drug development.