The database attached to our TMA contains pathological and clinical follow-up data, as well molecular data of key molecular alterations of this disease such as ERG fusion and genomic deletion of PTEN, 3p13, 5q21, and 6q15, which were used to establish associations between SENP1 expression and distinct phenotypic and molecular subsets of prostate cancers. Here, SENP1 is linked to prostate cancer.