In conclusion, the XGBoost model accurately predicted prostate cancer metastasis, with PET parameters PSMA-TVp, TL-PSMAp, and SUVmax contributing more prominently than traditional clinical indicators such as Gleason score and tPSA. This evidence concerns the gene FOLH1 and Familial prostate cancer.