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A circulating miRNA assay as a first-line test for prostate cancer screening

  • Evgeniya Sharova
  • , Angela Grassi
  • , Anna Marcer
  • , Katia Ruggero
  • , Francesco Pinto
  • , Pierfrancesco Bassi
  • , Paola Zanovello
  • , Filiberto Zattoni
  • , Donna M. D'Agostino
  • , Massimo Iafrate
  • , Vincenzo Ciminale*
  • *Corresponding author
  • IRCCS Istituto Oncologico Veneto - Padova
  • University of Padua
  • Hospital Universitari de Bellvitge-IDIBELL

Research output: Contribution to journalArticle

Abstract

Background:Prostate cancer (PCa) screening currently relies on prostate-specific antigen (PSA) testing and digital rectal examination. However, recent large-scale studies have questioned the long-term efficacy of these tests, and biomarkers that accurately identify PCa are needed.Methods:We analysed the levels of circulating microRNAs (miRNAs) in patients with elevated PSA who were diagnosed with either localised PCa (n=36) or benign prostatic hyperplasia (BPH, n=31) upon biopsy. Real-time RT-PCR with Taqman probes was used to measure plasma levels of miRNAs. To circumvent problems associated with circulating miRNA quantitation, we computed the expression ratios of upregulated and downregulated miRNAs.Results:The miR-106a/miR-130b and miR-106a/miR-223 ratios were significantly different between the biopsy-positive and BPH groups (P<0.0001), and yielded statistical power values that were >0.99. Both miRNA ratios were highly sensitive and more specific than PSA in discriminating localised PCa from BPH. Receiver operating characteristic curve analysis revealed area under curve values of 0.81 (miR-106a/miR-130b) and 0.77 (miR-106a/miR-223).Conclusions:Testing for circulating miR-106a/miR-130b and miR-106a/miR-223 ratios may reduce the costs and morbidity of unnecessary biopsies and is feasible for large-scale screening, as it requires measuring only three miRNAs.
Original languageEnglish
Pages (from-to)1362-1366
Number of pages5
JournalBritish Journal of Cancer
Volume114
Issue number12
DOIs
Publication statusPublished - 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Oncology
  • Cancer Research

Keywords

  • Cancer Research
  • Oncology

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