Literature DB >> 31249104

Multi-omics Biomarker Pipeline Reveals Elevated Levels of Protein-glutamine Gamma-glutamyltransferase 4 in Seminal Plasma of Prostate Cancer Patients.

Andrei P Drabovich1,2,3, Punit Saraon4, Mikalai Drabovich5, Theano D Karakosta2, Apostolos Dimitromanolakis2, M Eric Hyndman6, Keith Jarvi7,8, Eleftherios P Diamandis9,2,3,10.   

Abstract

Seminal plasma, because of its proximity to prostate, is a promising fluid for biomarker discovery and noninvasive diagnostics. In this study, we investigated if seminal plasma proteins could increase diagnostic specificity of detecting primary prostate cancer and discriminate between high- and low-grade cancers. To select 147 most promising biomarker candidates, we combined proteins identified through five independent experimental or data mining approaches: tissue transcriptomics, seminal plasma proteomics, cell line secretomics, tissue specificity, and androgen regulation. A rigorous biomarker development pipeline based on selected reaction monitoring assays was designed to evaluate the most promising candidates. As a result, we qualified 76, and verified 19 proteins in seminal plasma of 67 negative biopsy and 152 prostate cancer patients. Verification revealed a prostate-specific, secreted and androgen-regulated protein-glutamine gamma-glutamyltransferase 4 (TGM4), which predicted prostate cancer on biopsy and outperformed age and serum Prostate-Specific Antigen (PSA). A machine-learning approach for data analysis provided improved multi-marker combinations for diagnosis and prognosis. In the independent verification set measured by an in-house immunoassay, TGM4 protein was upregulated 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. Very low levels of TGM4 (120 pg/ml) were detected in blood serum. Collectively, our study demonstrated rigorous evaluation of one of the remaining and not well-explored prostate-specific proteins within the medium-abundance proteome of seminal plasma. Performance of TGM4 warrants its further investigation within the distinct genomic subtypes and evaluation for the inclusion into emerging multi-biomarker panels.
© 2019 Drabovich et al.

Entities:  

Keywords:  Prostate cancer biomarkers; TGM4; XGBoost; absolute quantification; assay development; machine learning; protein-glutamine gamma-glutamyltransferase 4; selected reaction monitoring; seminal plasma; serum/plasma

Mesh:

Substances:

Year:  2019        PMID: 31249104      PMCID: PMC6731075          DOI: 10.1074/mcp.RA119.001612

Source DB:  PubMed          Journal:  Mol Cell Proteomics        ISSN: 1535-9476            Impact factor:   5.911


  74 in total

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Authors:  Mary F McNaughton-Collins; Michael J Barry
Journal:  N Engl J Med       Date:  2011-10-26       Impact factor: 91.245

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Authors:  Eduardo Martínez-Morillo; Chan-Kyung J Cho; Andrei P Drabovich; Julie L V Shaw; Antoninus Soosaipillai; Eleftherios P Diamandis
Journal:  J Proteome Res       Date:  2012-06-15       Impact factor: 4.466

3.  Global quantification of mammalian gene expression control.

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Journal:  Nature       Date:  2011-05-19       Impact factor: 49.962

Review 4.  Toward an integrated pipeline for protein biomarker development.

Authors:  Andrei P Drabovich; Eduardo Martínez-Morillo; Eleftherios P Diamandis
Journal:  Biochim Biophys Acta       Date:  2014-09-11

5.  DD3: a new prostate-specific gene, highly overexpressed in prostate cancer.

Authors:  M J Bussemakers; A van Bokhoven; G W Verhaegh; F P Smit; H F Karthaus; J A Schalken; F M Debruyne; N Ru; W B Isaacs
Journal:  Cancer Res       Date:  1999-12-01       Impact factor: 12.701

6.  Proteomic profiling of androgen-independent prostate cancer cell lines reveals a role for protein S during the development of high grade and castration-resistant prostate cancer.

Authors:  Punit Saraon; Natasha Musrap; Daniela Cretu; George S Karagiannis; Ihor Batruch; Chris Smith; Andrei P Drabovich; Dominique Trudel; Theodorus van der Kwast; Colm Morrissey; Keith A Jarvi; Eleftherios P Diamandis
Journal:  J Biol Chem       Date:  2012-08-20       Impact factor: 5.157

7.  Overexpression of transglutaminase 4 and prostate cancer progression: a potential predictor of less favourable outcomes.

Authors:  Zhi Cao; Yang Wang; Zhi-Yong Liu; Zhen-Sheng Zhang; Shan-Cheng Ren; Yong-Wei Yu; Meng Qiao; Bei-Bei Zhai; Ying-Hao Sun
Journal:  Asian J Androl       Date:  2013-08-26       Impact factor: 3.285

8.  Targeted peptide measurements in biology and medicine: best practices for mass spectrometry-based assay development using a fit-for-purpose approach.

Authors:  Steven A Carr; Susan E Abbatiello; Bradley L Ackermann; Christoph Borchers; Bruno Domon; Eric W Deutsch; Russell P Grant; Andrew N Hoofnagle; Ruth Hüttenhain; John M Koomen; Daniel C Liebler; Tao Liu; Brendan MacLean; D R Mani; Elizabeth Mansfield; Hendrik Neubert; Amanda G Paulovich; Lukas Reiter; Olga Vitek; Ruedi Aebersold; Leigh Anderson; Robert Bethem; Josip Blonder; Emily Boja; Julianne Botelho; Michael Boyne; Ralph A Bradshaw; Alma L Burlingame; Daniel Chan; Hasmik Keshishian; Eric Kuhn; Christopher Kinsinger; Jerry S H Lee; Sang-Won Lee; Robert Moritz; Juan Oses-Prieto; Nader Rifai; James Ritchie; Henry Rodriguez; Pothur R Srinivas; R Reid Townsend; Jennifer Van Eyk; Gordon Whiteley; Arun Wiita; Susan Weintraub
Journal:  Mol Cell Proteomics       Date:  2014-01-17       Impact factor: 5.911

9.  Preclinical evaluation of a TEX101 protein ELISA test for the differential diagnosis of male infertility.

Authors:  Dimitrios Korbakis; Christina Schiza; Davor Brinc; Antoninus Soosaipillai; Theano D Karakosta; Christine Légaré; Robert Sullivan; Brendan Mullen; Keith Jarvi; Eleftherios P Diamandis; Andrei P Drabovich
Journal:  BMC Med       Date:  2017-03-23       Impact factor: 8.775

10.  Selected reaction monitoring for quantitative proteomics: a tutorial.

Authors:  Vinzenz Lange; Paola Picotti; Bruno Domon; Ruedi Aebersold
Journal:  Mol Syst Biol       Date:  2008-10-14       Impact factor: 11.429

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Journal:  Mol Cell Proteomics       Date:  2020-04-20       Impact factor: 5.911

2.  Dysregulation of Key Proteins Associated with Sperm Motility and Fertility Potential in Cancer Patients.

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3.  Cohort profile: the Alberta Prostate Cancer Research Initiative (APCaRI) Registry and Biorepository facilitates technology translation to the clinic through the use of linked, longitudinal clinical and patient-reported data and biospecimens from men in Alberta, Canada.

Authors:  Catalina Vasquez; Michael Kolinsky; Rume Djebah; Maxwell Uhlich; Bryan Donnelly; Adrian S Fairey; Eric Hyndman; Nawaid Usmani; Jackson Wu; Peter Venner; Dean Ruether; Gerald Todd; Michael Chetner; R Trafford Crump; Perrin H Beatty; John D Lewis
Journal:  BMJ Open       Date:  2020-10-16       Impact factor: 2.692

4.  Plasma Metabolomics Reveals Metabolic Profiling For Diabetic Retinopathy and Disease Progression.

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Journal:  Front Endocrinol (Lausanne)       Date:  2021-10-29       Impact factor: 5.555

5.  Biochemical Characterisation of Human Transglutaminase 4.

Authors:  Zsuzsa Csobán-Szabó; Bálint Bécsi; Saïd El Alaoui; László Fésüs; Ilma Rita Korponay-Szabó; Róbert Király
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6.  Prostate cancer in omics era.

Authors:  Nasrin Gholami; Amin Haghparast; Iraj Alipourfard; Majid Nazari
Journal:  Cancer Cell Int       Date:  2022-09-05       Impact factor: 6.429

7.  Rational Design and Development of SARS-CoV-2 Serological Diagnostics by Immunoprecipitation-Targeted Proteomics.

Authors:  Zhiqiang Fu; Yasmine Rais; Delaram Dara; Dana Jackson; Andrei P Drabovich
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Review 8.  Integrated Multi-Omics Analyses in Oncology: A Review of Machine Learning Methods and Tools.

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Journal:  Front Oncol       Date:  2020-06-30       Impact factor: 6.244

Review 9.  Extracellular Vesicle Proteome in Prostate Cancer: A Comparative Analysis of Mass Spectrometry Studies.

Authors:  Rui Miguel Marques Bernardino; Ricardo Leão; Rui Henrique; Luis Campos Pinheiro; Prashant Kumar; Prashanth Suravajhala; Hans Christian Beck; Ana Sofia Carvalho; Rune Matthiesen
Journal:  Int J Mol Sci       Date:  2021-12-19       Impact factor: 5.923

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