Multi-omics Biomarker Pipeline Reveals Elevated Levels of Protein-glutamine Gamma-glutamyltransferase 4 in Seminal Plasma of Prostate Cancer Patients
Overview
Cell Biology
Molecular Biology
Authors
Affiliations
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 ( = 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.
Gabriele C, Aracri F, Prestagiacomo L, Rota M, Alba S, Tradigo G Clin Proteomics. 2023; 20(1):52.
PMID: 37990292 PMC: 10662699. DOI: 10.1186/s12014-023-09439-4.
Redefining serological diagnostics with immunoaffinity proteomics.
Walter J, Eludin Z, Drabovich A Clin Proteomics. 2023; 20(1):42.
PMID: 37821808 PMC: 10568870. DOI: 10.1186/s12014-023-09431-y.
Munjoma N, Isaac G, Muazzam A, Cexus O, Azhar F, Pandha H J Proteome Res. 2022; 21(11):2596-2608.
PMID: 36264332 PMC: 9639203. DOI: 10.1021/acs.jproteome.2c00297.
Fu Z, Rais Y, Dara D, Jackson D, Drabovich A Anal Chem. 2022; 94(38):12990-12999.
PMID: 36095284 PMC: 9523617. DOI: 10.1021/acs.analchem.2c01325.
Gholami N, Haghparast A, Alipourfard I, Nazari M Cancer Cell Int. 2022; 22(1):274.
PMID: 36064406 PMC: 9442907. DOI: 10.1186/s12935-022-02691-y.