The discriminative ability of Prostate Health Index to detect prostate cancer is enhanced in combination with miR-222-3p.


Journal

Cancer biomarkers : section A of Disease markers
ISSN: 1875-8592
Titre abrégé: Cancer Biomark
Pays: Netherlands
ID NLM: 101256509

Informations de publication

Date de publication:
2021
Historique:
pubmed: 29 12 2020
medline: 3 11 2021
entrez: 28 12 2020
Statut: ppublish

Résumé

There is an urgent need for better prostate cancer (PCa) biomarkers due to the low specificity of prostate specific antigen (PSA). Prostate Health Index (PHI) is an advanced PSA-based test for early detection of PCa. The present study aim was to investigate the potential improvement of diagnostic accuracy of PHI by its combination with suitable discriminative microRNAs (miRNAs). A two-phase study was performed. In a discovery phase, a panel of 177 miRNAs was measured in ten men with biopsy proven PCa and ten men with histologically no evidence of malignancy (NEM). These results were validated in a second phase including 25 patients in each group. The patients of all groups were matched regarding their PSA values and PHI were measured. Based on data in the discovery phase, four elevated miRNAs were selected as potential miRNA candidates for further validation. A combination of miR-222-3p as the best discriminative miRNA with PHI extended the diagnostic accuracy of PHI from an AUC value of 0.690 to 0.787 and resulted in a sensitivity of 72.0% and a specificity of 84.0%. Circulating microRNAs show useful diagnostic potential in combination with common used biomarkers to enhance their diagnostic power.

Sections du résumé

BACKGROUND BACKGROUND
There is an urgent need for better prostate cancer (PCa) biomarkers due to the low specificity of prostate specific antigen (PSA).
OBJECTIVE OBJECTIVE
Prostate Health Index (PHI) is an advanced PSA-based test for early detection of PCa. The present study aim was to investigate the potential improvement of diagnostic accuracy of PHI by its combination with suitable discriminative microRNAs (miRNAs).
METHODS METHODS
A two-phase study was performed. In a discovery phase, a panel of 177 miRNAs was measured in ten men with biopsy proven PCa and ten men with histologically no evidence of malignancy (NEM). These results were validated in a second phase including 25 patients in each group. The patients of all groups were matched regarding their PSA values and PHI were measured.
RESULTS RESULTS
Based on data in the discovery phase, four elevated miRNAs were selected as potential miRNA candidates for further validation. A combination of miR-222-3p as the best discriminative miRNA with PHI extended the diagnostic accuracy of PHI from an AUC value of 0.690 to 0.787 and resulted in a sensitivity of 72.0% and a specificity of 84.0%.
CONCLUSION CONCLUSIONS
Circulating microRNAs show useful diagnostic potential in combination with common used biomarkers to enhance their diagnostic power.

Identifiants

pubmed: 33361585
pii: CBM201600
doi: 10.3233/CBM-201600
doi:

Substances chimiques

Biomarkers, Tumor 0
MIRN222 microRNA, human 0
MicroRNAs 0
KLK3 protein, human EC 3.4.21.-
Kallikreins EC 3.4.21.-
Prostate-Specific Antigen EC 3.4.21.77

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

381-393

Auteurs

Angelika Tölle (A)

Department of Urology, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Klaus Jung (K)

Department of Urology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Berlin Institute for Urologic Research, Berlin, Germany.

Frank Friedersdorff (F)

Department of Urology, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Andreas Maxeiner (A)

Department of Urology, Charité - Universitätsmedizin Berlin, Berlin, Germany.

Michael Lein (M)

Berlin Institute for Urologic Research, Berlin, Germany.
Department of Urology, Sana Medical Center Offenbach, Offenbach/Main, Germany.

Annika Fendler (A)

Department of Urology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, Cancer Research Program, Berlin, Germany.
Cancer Dynamics Laboratory, The Francis Crick Institute, London, UK.

Carsten Stephan (C)

Department of Urology, Charité - Universitätsmedizin Berlin, Berlin, Germany.
Berlin Institute for Urologic Research, Berlin, Germany.

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Classifications MeSH