We then used the candidate genes in conjunction with an external dataset [The Cancer Genome Atlas prostate adenocarcinoma (TCGA-PRAD)] to produce a minimal 5-gene expression signature (PCBP1, PABPN1, PTPRF, DANCR, and MYC) using the least absolute shrinkage and selection operator (LASSO) and Cox regression methods to predict PFS. Here, DANCR is linked to prostate adenocarcinoma.