PT  - JOURNAL ARTICLE
AU  - OH KWANG KWON
AU  - JU MI JEON
AU  - EUNJI SUNG
AU  - ANN-YEA NA
AU  - SUN JOO KIM
AU  - SANGKYU LEE
TI  - Comparative Secretome Profiling and Mutant Protein Identification in Metastatic Prostate Cancer Cells by Quantitative Mass Spectrometry-based Proteomics
AID  - 10.21873/cgp.20086
DP  - 2018 Jul 01
TA  - Cancer Genomics - Proteomics
PG  - 279--290
VI  - 15
IP  - 4
4099  - http://cgp.iiarjournals.org/content/15/4/279.short
4100  - http://cgp.iiarjournals.org/content/15/4/279.full
SO  - Cancer Genomics Proteomics2018 Jul 01; 15
AB  - 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.