The invention provides a construction method of a prediction model for
prostate cancer malignancy risk and a
prediction system, and the method comprises the following steps: S1, collecting sample data of hereditary variation of a subject, including
mutation allelic
dose of variation; s2, taking an intersection of the sample data of the heritable variation of the subject in the step S1 and a prostatic
cancer GWAS site SNP set in UKBB; s3, calculating the correlation between the genetic
mutation of the intersection in S2 and the activity of 3beta HSD1; s4, calculating the risk
score of the subject; and S5, randomly selecting a plurality of genetic variations for multiple times, repeating the step S4, calculating to obtain a plurality of PRSs, and calculating a
genetic variation fingerprint score. According to the construction method of the prediction model for the malignant risk of the
prostate cancer and the
prediction system, the tissue with high 3beta HSD1
enzyme activity and the tissue with low 3beta HSD1
enzyme activity are subjected to multi-
omics sequencing, and
genetic variation fingerprints are established to represent the
metabolic activity of the 3beta HSD1 of the
prostate tissue; the biomarker can be provided for doctors as an efficient biomarker for early diagnosis of prostatic cancer.