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Biomolecules & Biomedicine
Article . 2023 . Peer-reviewed
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Biomolecules & Biomedicine
Article . 2023
Data sources: DOAJ
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Methylation pattern of caveolin-1 in prostate cancer as potential cfDNA biomarker

Authors: Lucija Škara; Tonći Vodopić; Ivan Pezelj; Irena Abramovic; Borna Vrhovec; Alen Vrtarić; Nino Sincic; +4 Authors

Methylation pattern of caveolin-1 in prostate cancer as potential cfDNA biomarker

Abstract

High prevalence and mortality of prostate cancer (PCa) are well known global health issues. Novel biomarkers for better identifying patients with PCa are the subject of extensive research. Prostate specific antigen (PSA) shows low specificity in screening and diagnostics, leading to unnecessary biopsies and health costs. Eighty patients with PCa and benign prostate hyperplasia (BPH) were included in the study. We analyzed CAV1 gene expression and methylation in tissue. CAV1 cfDNA methylation from blood and seminal plasma was accessed as a potential PCa biomarker. Although methylation in blood plasma did not differ between PCa and BPH patients, methylation in seminal plasma showed better PCa biomarker performances than tPSA (AUC 0.63 vs. AUC 0.52). Discrimination of BPH and Gleason grade group 1 PCa patients from patients with higher Gleason grade groups revealed very good performance as well (AUC 0.72). CAV1 methylation is useful biomarker with potential for further seminal plasma cfDNA research, but its diagnostic accuracy should be improved, as well as general knowledge about cfDNA in seminal plasma.

Keywords

Male, QH301-705.5, Caveolin 1, Prostatic Hyperplasia, Prostatic Neoplasms, prostate cancer, Methylation, CAV1, cfDNA methylation, biomarker, Humans, Biology (General), Cell-Free Nucleic Acids, prostate cancer ; biomarker ; cfDNA methylation ; CAV1, Biomarkers, Research Article

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Top 10%
Average
Average
Green
gold