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Use of MS-GUIDE for identification of protein biomarkers for risk stratification of patients with prostate cancer.
Goetze, Sandra; Schüffler, Peter; Athanasiou, Alcibiade; Koetemann, Anika; Poyet, Cedric; Fankhauser, Christian Daniel; Wild, Peter J; Schiess, Ralph; Wollscheid, Bernd.
Afiliação
  • Goetze S; Department of Health Sciences and Technology, Institute of Translational Medicine, Swiss Federal Institute of Technology, ETH Zurich, 8093, Zurich, Switzerland.
  • Schüffler P; Swiss Institute of Bioinformatics (SIB), 1015, Lausanne, Switzerland.
  • Athanasiou A; ETH PHRT Swiss Multi-Omics Center (SMOC), 8093, Zurich, Switzerland.
  • Koetemann A; Institute of General and Surgical Pathology, Technical University of Munich, 81675, Munich, Germany.
  • Poyet C; Proteomedix AG, 8952, Schlieren, Switzerland.
  • Fankhauser CD; Department of Health Sciences and Technology, Institute of Translational Medicine, Swiss Federal Institute of Technology, ETH Zurich, 8093, Zurich, Switzerland.
  • Wild PJ; Clinic of Urology, University Hospital Zurich, University of Zurich, 8091, Zurich, Switzerland.
  • Schiess R; Clinic of Urology, University Hospital Zurich, University of Zurich, 8091, Zurich, Switzerland.
  • Wollscheid B; Department of Pathology and Molecular Pathology, University Hospital Zurich, University of Zurich, 8091, Zurich, Switzerland. Peter.Wild@kgu.de.
Clin Proteomics ; 19(1): 9, 2022 Apr 27.
Article em En | MEDLINE | ID: mdl-35477343
ABSTRACT

BACKGROUND:

Non-invasive liquid biopsies could complement current pathological nomograms for risk stratification of prostate cancer patients. Development and testing of potential liquid biopsy markers is time, resource, and cost-intensive. For most protein targets, no antibodies or ELISAs for efficient clinical cohort pre-evaluation are currently available. We reasoned that mass spectrometry-based prescreening would enable the cost-effective and rational preselection of candidates for subsequent clinical-grade ELISA development.

METHODS:

Using Mass Spectrometry-GUided Immunoassay DEvelopment (MS-GUIDE), we screened 48 literature-derived biomarker candidates for their potential utility in risk stratification scoring of prostate cancer patients. Parallel reaction monitoring was used to evaluate these 48 potential protein markers in a highly multiplexed fashion in a medium-sized patient cohort of 78 patients with ground-truth prostatectomy and clinical follow-up information. Clinical-grade ELISAs were then developed for two of these candidate proteins and used for significance testing in a larger, independent patient cohort of 263 patients.

RESULTS:

Machine learning-based analysis of the parallel reaction monitoring data of the liquid biopsies prequalified fibronectin and vitronectin as candidate biomarkers. We evaluated their predictive value for prostate cancer biochemical recurrence scoring in an independent validation cohort of 263 prostate cancer patients using clinical-grade ELISAs. The results of our prostate cancer risk stratification test were statistically significantly 10% better than results of the current gold standards PSA alone, PSA plus prostatectomy biopsy Gleason score, or the National Comprehensive Cancer Network score in prediction of recurrence.

CONCLUSION:

Using MS-GUIDE we identified fibronectin and vitronectin as candidate biomarkers for prostate cancer risk stratification.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Clin Proteomics Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Etiology_studies / Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Clin Proteomics Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Suíça