Glycoprofiling of proteins as prostate cancer biomarkers: A multinational population study

PLoS One. 2024 Mar 18;19(3):e0300430. doi: 10.1371/journal.pone.0300430. eCollection 2024.

Abstract

The glycoprofiling of two proteins, the free form of the prostate-specific antigen (fPSA) and zinc-α-2-glycoprotein (ZA2G), was assessed to determine their suitability as prostate cancer (PCa) biomarkers. The glycoprofiling of proteins was performed by analysing changes in the glycan composition on fPSA and ZA2G using lectins (proteins that recognise glycans, i.e. complex carbohydrates). The specific glycoprofiling of the proteins was performed using magnetic beads (MBs) modified with horseradish peroxidase (HRP) and antibodies that selectively enriched fPSA or ZA2G from human serum samples. Subsequently, the antibody-captured glycoproteins were incubated on lectin-coated ELISA plates. In addition, a novel glycoprotein standard (GPS) was used to normalise the assay. The glycoprofiling of fPSA and ZA2G was performed in human serum samples obtained from men undergoing a prostate biopsy after an elevated serum PSA, and prostate cancer patients with or without prior therapy. The results are presented in the form of an ROC (Receiver Operating Curve). A DCA (Decision Curve Analysis) to evaluate the clinical performance and net benefit of fPSA glycan-based biomarkers was also performed. While the glycoprofiling of ZA2G showed little promise as a potential PCa biomarker, the glycoprofiling of fPSA would appear to have significant clinical potential. Hence, the GIA (Glycobiopsy ImmunoAssay) test integrates the glycoprofiling of fPSA (i.e. two glycan forms of fPSA). The GIA test could be used for early diagnoses of PCa (AUC = 0.83; n = 559 samples) with a potential for use in therapy-monitoring (AUC = 0.90; n = 176 samples). Moreover, the analysis of a subset of serum samples (n = 215) revealed that the GIA test (AUC = 0.81) outperformed the PHI (Prostate Health Index) test (AUC = 0.69) in discriminating between men with prostate cancer and those with benign serum PSA elevation.

MeSH terms

  • Biomarkers, Tumor
  • Early Detection of Cancer
  • Glycoproteins
  • Humans
  • Male
  • Polysaccharides
  • Prostate / pathology
  • Prostate-Specific Antigen*
  • Prostatic Neoplasms* / pathology
  • ROC Curve

Substances

  • Prostate-Specific Antigen
  • Biomarkers, Tumor
  • Glycoproteins
  • Polysaccharides

Grants and funding

The financial support received from the Slovak Research and Development Agency APVV-21-0329 and APVV-20-0476 is gratefully acknowledged. The publication was supported by European Innovation Council (EIC) Accelerator grant 190185443 (HORIZON). This study was supported by the Ministry of Health of the Czech Republic - conceptual development of research organisation (Faculty Hospital in Pilsen - FNPl, 00669806), BBMRI-CZ: Biobank network - a versatile platform for research of the etiopathogenesis of diseases CZ.02.1.01/0.0/0.0/16_013/000167 and LM2015089, and by the Cooperation Programme, research area Pharmaceutical Sciences. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The authors would like to express their sincere gratitude to Jana Trpkova, Andrea Eigentler and Gabriele Dobler for handling the serum samples used in the study, and to Eberhard Steiner for preparation of the clinical data.