Objective  To research the value of combined factors in predicting the initially positive results of prostate cancer biopsy. Methods   A total of 345 patients with the initial prostate cancer biopsy in our hospital were enrolled in this study. According to the results of the biopsy, they  were divided into positive group and negative group. The clinical data (age, family history of prostate cancer), laboratory index(tPSA，β2-MG，CRP) and some results of imageological diagnosis were used to have single–factor analysis and multi-factor Logistic regression analysis, and ROC carves were built with the independent and combined multimarkers. Results  The multi-factor regression analysis showed that family history of prostate cancer (P=0.031), tPSA（P=0.003）,β2-MG（P=0.008）, digital rectal examination（P=0.001）,PSAD(P=0.036) and TRUS(P=0.046) were proved to have the significant impacts on the biopsy diagnosis of prostate cancer. Among the indicators in predicting the positive diagnosis of prostate cancer biopsy, the sensitivity and specificity of rectal examination were 79.10% and 48.34%. TRUS was 94.02% and 70.62%. tPSA was 84.2% and 56.3%. β-microglobulin was 79.6% and 62.9%. PSAD was 91.0% and 41.2%. The accuracy of combined prediction of tPSA and PSAD was the highest (AUC=0.975).Conclusions  Digital rectal examination, TRUS, serum tPSA, β-microglobulin and PSAD can be used as predictors of positive prostatic cancer biopsy, and tPSA combined with PSAD can significantly improve the prediction accuracy.