Premium
Proteomic profiling of exosomes leads to the identification of novel biomarkers for prostate cancer progression
Author(s) -
Shin Kyeong Jin,
Seo Youngkyo,
Yoo Youngbum
Publication year - 2018
Publication title -
the faseb journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.709
H-Index - 277
eISSN - 1530-6860
pISSN - 0892-6638
DOI - 10.1096/fasebj.2018.32.1_supplement.lb176
Subject(s) - prostate cancer , lncap , microvesicles , proteomics , biomarker discovery , cancer research , biomarker , exosome , cancer , quantitative proteomics , computational biology , chemistry , medicine , microrna , biology , biochemistry , gene
Exosomes are vesicles which have garnered interest due to their diagnostic and therapeutic potential. Isolation of cancer‐derived exosomes is a prerequisite for their better understanding. We have investigated a new biomarker for prostate cancer progression via quantitative proteomics. Exosomes from androgen‐independent PC‐3 and the androgen‐dependent LNCaP prostate cancer cells were isolated by ultracentrifugation. After tryptic digestion, proteomic analyses utilized a nanoLC coupled with an LTQ‐Orbitrap operated in tandem MS (MS/MS) mode. Accurate Mass and Time (AMT) tag approach was employed for peptide identification and quantitation. Proteomic characterization showed that 105 proteins from PC‐3 exosomes were 10‐fold higher than those from LNCap. Validation by Western blotting and qRT‐PCR confirmed a higher abundance of PFKL, NRP1 and MCAM(CD146) in PC‐3 cell exosomes, too, indicating that aggressive prostate cancer exhibit higher levels of adhesion or cohesion proteins. We also show that MCAM (CD146) was strongly associated to PC‐3 mobility in vitro. These data provided that MCAM should be useful as a new candidate biomarker for prostate cancer progression. Support or Funding Information This work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) (OGM4391711) This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal .