The present disclosure relates to a biomarker for diagnosis of prostate cancer and use of the biomarker. According to a biomarker composition for diagnosis of prostate cancer of the present disclosure, an optimal biomarker combination capable of effectively diagnosing prostate cancer has been discovered, and there is an advantage in that prostate cancer can be diagnosed with high accuracy by using the biomarker combination and a machine learning algorithm model.