Comparative Proteomics Uncovers Correlated Signaling Network and Potential Biomarkers for Progression of Prostate Cancer.

BACKGROUND/AIMS: Prostate cancer is one of the most common cancers for males worldwide, and it is prone to show the metastatic foci in lymph node and bone with high mortality. To date, the potential mechanism and the corresponding biomarkers for metastatic prostate cancer are still lacking. Hence, our study aims to clarify the mechanism of prostate cancer progression and identify the useful biomarkers for metastatic prostate cancer.

METHODS: The proteins and network tightly associated with tumor metastasis were identified using quantitative proteomics. Furthermore, the mRNA level of differential expressed proteins were confirmed using qRT-PCR, and the functional cluster analysis was performed using String and Cytoscape.

RESULTS: Totally, our study identified 203 differential proteins closely associated with tumor cell migration, and the mRNA expression of those proteins were verified by qPCR. Moreover, the migration associated molecular network was established using bioinformatics analysis.

CONCLUSION: These data raveled the critical proteins for the cell migration of prostate cancer, and identified the potential markers for diagnosing the metastasis of prostate cancer.