Multi-lectin Affinity Chromatography and Quantitative Proteomic Analysis Reveal Differential Glycoform Levels between Prostate Cancer and Benign Prostatic Hyperplasia Sera

作者: Sarah M Totten , Ravali Adusumilli , Majlinda Kullolli , Cheylene Tanimoto , James D Brooks

DOI: 10.1038/S41598-018-24270-W

关键词:

摘要: Currently prostate-specific antigen is used for prostate cancer (PCa) screening, however it lacks the necessary specificity differentiating PCa from other diseases of such as benign prostatic hyperplasia (BPH), presenting a clinical need to distinguish these cases at molecular level. Protein glycosylation plays an important role in number cellular processes involved neoplastic progression and aberrant PCa. In this study, we systematically interrogate alterations circulating levels hundreds serum proteins their glycoforms BPH samples using multi-lectin affinity chromatography quantitative mass spectrometry-based proteomics. Specific lectins (AAL, PHA-L PHA-E) were target chromatographically separate core-fucosylated highly-branched protein analysis, differential expression glycan types have been previously associated with Global CD5L, CFP, C8A, BST1, C7 significantly increased samples. Notable glycoform-specific between identified among CD163, C4A, ATRN PHA-L/E fraction C4BPB AZGP1 AAL fraction. Despite modest differences, substantial similarities glycoproteomic profiles observed sera.

参考文章(61)
Richard R. Drake, E. Ellen Jones, Thomas W. Powers, Julius O. Nyalwidhe, Altered glycosylation in prostate cancer. Advances in Cancer Research. ,vol. 126, pp. 345- 382 ,(2015) , 10.1016/BS.ACR.2014.12.001
Salomé S. Pinho, Celso A. Reis, Glycosylation in cancer: mechanisms and clinical implications Nature Reviews Cancer. ,vol. 15, pp. 540- 555 ,(2015) , 10.1038/NRC3982
Michael Pierce, Naoyuki Taniguchi, Glycan biomarker discovery. Proteomics Clinical Applications. ,vol. 7, pp. 595- 596 ,(2013) , 10.1002/PRCA.201370054
Robert L. Vessella, James A. Bassuk, Lawrence D. True, Paul H. Lange, Regi Thomas, Differential expression of osteonectin/SPARC during human prostate cancer progression. Clinical Cancer Research. ,vol. 6, pp. 1140- 1149 ,(2000)
Marie Lundholm, Christina Hägglöf, Maria L. Wikberg, Pär Stattin, Lars Egevad, Anders Bergh, Pernilla Wikström, Richard Palmqvist, Sofia Edin, Secreted Factors from Colorectal and Prostate Cancer Cells Skew the Immune Response in Opposite Directions Scientific Reports. ,vol. 5, pp. 15651- 15651 ,(2015) , 10.1038/SREP15651
Juan Vaz, Daniel Ansari, Agata Sasor, Roland Andersson, SPARC: A Potential Prognostic and Therapeutic Target in Pancreatic Cancer Pancreas. ,vol. 44, pp. 1024- 1035 ,(2015) , 10.1097/MPA.0000000000000409
Adam Rauch, Matthew Bellew, Jimmy Eng, Matthew Fitzgibbon, Ted Holzman, Peter Hussey, Mark Igra, Brendan Maclean, Chen Wei Lin, Andrea Detter, Ruihua Fang, Vitor Faca, Phil Gafken, Heidi Zhang, Jeffrey Whitaker, David States, Sam Hanash, Amanda Paulovich, Martin W. McIntosh, Computational Proteomics Analysis System (CPAS): an extensible, open-source analytic system for evaluating and publishing proteomic data and high throughput biological experiments. Journal of Proteome Research. ,vol. 5, pp. 112- 121 ,(2006) , 10.1021/PR0503533
Majlinda Kullolli, William S. Hancock, Marina Hincapie, Preparation of a high-performance multi-lectin affinity chromatography (HP-M-LAC) adsorbent for the analysis of human plasma glycoproteins. Journal of Separation Science. ,vol. 31, pp. 2733- 2739 ,(2008) , 10.1002/JSSC.200800233
Vitor Faca, Marc Coram, Doug Phanstiel, Veronika Glukhova, Qing Zhang, Matthew Fitzgibbon, Martin McIntosh, Samir Hanash, Quantitative analysis of acrylamide labeled serum proteins by LC-MS/MS. Journal of Proteome Research. ,vol. 5, pp. 2009- 2018 ,(2006) , 10.1021/PR060102+
Elizabeth K Nelson, Britt Piehler, Josh Eckels, Adam Rauch, Matthew Bellew, Peter Hussey, Sarah Ramsay, Cory Nathe, Karl Lum, Kevin Krouse, David Stearns, Brian Connolly, Tom Skillman, Mark Igra, LabKey Server: An open source platform for scientific data integration, analysis and collaboration BMC Bioinformatics. ,vol. 12, pp. 71- 71 ,(2011) , 10.1186/1471-2105-12-71