An overview of the main methodological strategies and results of prostate cancer secretome and membrane proteome from Pten conditional knockout mice and human prostate cancer. Here, we combined the selection of transcripts from the list of protein-coding genes of the secretome and membrane proteome dataset using The Human Protein Atlas Secretome and the Pten conditional knockout mice dataset (GSE 94574). After finding the upregulated and downregulated genes in the mPIN, MT and AT stages of PCa, we performed the GO enrichment analysis, PPI network using the STRING database, and the gene expression levels of the targets using the online GEPIA tool. Finally, we obtained nine (DMPK, PLN, KCNQ5, KCNQ4, MYOC, WIF1, BMP7, F3, and MUC1) deregulated PMPs and PSPs potential biomarker targets in PCa.