Herein, we present an advanced computational data extraction approach which can identify the presence of prostate cancer in men with PSA levels <20 ng ml−1 on the basis of peripheral blood immune cell profiles that have been generated using multi-parameter flow cytometry. This evidence concerns the gene KLK3 and prostate carcinoma.