Literature DB >> 27749016

Detection of aggressive prostate cancer associated glycoproteins in urine using glycoproteomics and mass spectrometry.

Xingwang Jia1,2, Jing Chen1, Shisheng Sun1, Weiming Yang1, Shuang Yang1, Punit Shah1, Naseruddin Hoti1, Bob Veltri3, Hui Zhang1.   

Abstract

Clinical management of prostate cancer remains a significant challenge due to the lack of available tests for guiding treatment decisions. The blood prostate-specific antigen test has facilitated early detection and intervention of prostate cancer. However, blood prostate-specific antigen levels are less effective in distinguishing aggressive from indolent prostate cancers and other benign prostatic diseases. Thus, the development of novel approaches specific for prostate cancer that can differentiate aggressive from indolent disease remains an urgent medical need. In the current study, we evaluated urine specimens from prostate cancer patients using LC-MS/MS, with the aim of identifying effective urinary prostate cancer biomarkers. Glycoproteins from urine samples of prostate cancer patients with different Gleason scores were characterized via solid phase extraction of N-linked glycosite-containing peptides and LC-MS/MS. A total of 2923 unique glycosite-containing peptides were identified. Glycoproteomic comparison on urine and tissues from aggressive and non-aggressive prostate cancers as well as sera from prostate cancer patients revealed that the majority of AG prostate cancer associated glycoproteins were more readily detected in patient's urine than serum samples. Our data collectively indicate that urine provides a potential source for biomarker testing in patients with AG prostate cancer.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Aggressive; Glycoprotein; Glycoproteomics; Prostate cancer; Urine

Mesh:

Substances:

Year:  2016        PMID: 27749016      PMCID: PMC5407186          DOI: 10.1002/pmic.201500506

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


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