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. Here, FOLH1 is linked to prostate cancer.