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Multi-omics biomarker pipeline reveals elevated levels of protein-glutamine gamma-glutamyltransferase 4 in seminal plasma of prostate cancer patients
Open accessPreprint — published as 10.1074/mcp.ra119.001612 · Paper page
Abstract
Purpose: Prostate-specific antigen, a blood serum biomarker of prostate cancer, lacks specificity and prognostic significance, so considerable efforts are devoted to developing novel biomarkers. Seminal plasma, due to its proximity to prostate, is a promising fluid for biomarker discovery and non-invasive diagnostics. In this study, we investigated if seminal plasma proteins could increase specificity of detecting primary prostate cancer and discriminate between high- and low-grade cancers. Experimental Design: To select 148 most promising biomarker candidates, we combined proteins identified through five independent data mining or experimental approaches: tissue transcriptomics, seminal plasma proteomics, cell secretomics, tissue specificity and androgen regulation. A rigorous biomarker development pipeline based on targeted proteomics assays was designed to evaluate the most promising candidates. Results: We qualified 77 and verified 19 proteins in seminal plasma of 67 negative biopsy and 155 prostate cancer patients. Verification revealed a prostate-specific, secreted and androgen-regulated protein-glutamine gamma-glutamyltransferase 4 (TGM4), which could predict prostate cancer on biopsy and outperformed age and serum PSA. Machine-learning approaches also revealed improved multi-marker combinations for diagnosis and prognosis. In the independent verification set measured by an inhouse ELISA, TGM4 was up-regulated 3.7-fold ( P =0.006) and revealed AUC 0.66 for detecting prostate cancer on biopsy for patients with serum PSA≥4 ng/mL and age≥50. Low levels of TGM4 (median 120 pg/mL) were detected in blood serum, but could not differentiate between negative biopsy, prostate cancer or prostate inflammation. Conclusions: Performance of TGM4 warrants its further investigation within the distinct genomic subtypes and evaluation for the inclusion into emerging multi-biomarker panels.
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Metadata
- Authors
- Drabovich, A. P., Saraon, P., Drabovich, M., Karakosta, T. D., Dimitromanolakis, A., Hyndman, M. E., Jarvi, K., & Diamandis, E. P.
- Affiliations
- Mount Sinai Hospital (CA)
- University of Toronto (CA)
- University Health Network (CA)
- Rockyview General Hospital (CA)
- Corresponding author
- Drabovich, Andrei P.
- Jarvi, Keith
- Diamandis, Eleftherios P.
- Venue
- bioRxiv (Cold Spring Harbor Laboratory)
- Publisher
- openRxiv
- Published
- 2017-03-26
- OpenAlex
- W2609592944
- Cited by
- 0
- References
- 1
- Type
- posted content
- Language
- en
- Open access
- green
- doi.org
- Licence
- Locations
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- Funders
- Prostate Cancer Canada (RS2015–01)
- Topics
- Health Sciences › Medicine › Urology › Prostate Cancer Diagnosis and Treatment
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Prostate Cancer Treatment and Research
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Keywords
- prostate cancer, seminal plasma, tumor markers, non-invasive diagnosis, targeted proteomics, multimarker panels, cancer grading, prostate-specific antigen
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