TY - JOUR T1 - Comparative Secretome Profiling and Mutant Protein Identification in Metastatic Prostate Cancer Cells by Quantitative Mass Spectrometry-based Proteomics JF - Cancer Genomics - Proteomics JO - Cancer Genomics Proteomics SP - 279 LP - 290 DO - 10.21873/cgp.20086 VL - 15 IS - 4 AU - OH KWANG KWON AU - JU MI JEON AU - EUNJI SUNG AU - ANN-YEA NA AU - SUN JOO KIM AU - SANGKYU LEE Y1 - 2018/07/01 UR - http://cgp.iiarjournals.org/content/15/4/279.abstract N2 - Background: Secreted proteins play an important role in promoting cancer (PCa) cell migration and invasion. Proteogenomics helps elucidate the mechanism of diseases, discover therapeutic targets, and generate biomarkers for diagnosis through protein variations. Materials and Methods: We carried out a mass a spectrometry-based proteomic analysis of the conditioned media (CM) from two human prostate cancer cell lines, belonging to different metastatic sites, to identify potential metastatic and/or aggressive factors. Results: We identified a total of 598 proteins, among which 561 were quantified based on proteomic analysis. Among the quantified proteins, 128 were up-regulated and 83 were down-regulated in DU145/PC3 cells. Six mutant peptides were identified in the CM of prostate cancer cell lines using proteogenomics approach. Conclusion: This is the first proteogenomics study in PCa aiming at exploring a new type of metastatic factor, which are mutant peptides, predicting a novel biomarker of metastatic PCa for diagnosis, prognosis and drug targeting. ER -