miQ - a novel microRNA based diagnostic and prognostic tool for prostate cancer.

Olivia Larne, Elena Martens-Uzunova, Zandra Hagman, Anders Edsjö, Giuseppe Lippolis, Mirella S Vredenbregt-van den Berg, Anders Bjartell, Guido Jenster, Yvonne Ceder

Research output: Contribution to journalArticlepeer-review

Abstract

Today, the majority of prostate tumours are detected at early stages with uncertain prognosis. Therefore, we set out to identify early predictive markers of prostate cancer with aggressive progression characteristics. We measured the expression of microRNAs (miRNA) using qRT-PCR in FFPE prostatic tissue samples from a Swedish cohort of 49 patients with prostate cancer and 25 without cancer and found eight of 14 preselected miRNAs to discriminate between the two groups. Subsequently four discriminatory miRNAs were combined to a quota, denoted the miRNA index quote (miQ); ((miR-96-5p x miR-183-5p)/(miR-145-5p x miR221-5p)). The advantage using a quote is increased discrimination, no need for house-keepings, and most important it may be an advantage considering the heterogeneity of the disease. miQ was found to successfully predict diagnosis (p<0.0001) with high accuracy (AUC=0.931) that was verified in an independent Dutch cohort and three external cohorts, and significantly outperforming PSA. Importantly, miQ also has prognostic power to predict aggressiveness of tumours (AUC=0.895), metastatic statues (AUC=0.827), and overall survival (p=0.0013, Wilcoxon test HR=6.5, median survival 2 versus 5 years), verified in the Dutch cohort. In this preliminary study we propose that miQ has potential to be used as a clinical tool for prostate cancer diagnosis and as a prognostic marker of disease progression. © 2012 Wiley Periodicals, Inc.
Original languageEnglish
Pages (from-to)2867-2875
JournalInternational Journal of Cancer
Volume132
Issue number12
DOIs
Publication statusPublished - 2013

Bibliographical note

The information about affiliations in this record was updated in December 2015.
The record was previously connected to the following departments: Molecular Medicine (013031200), Division of Urological Cancers (013243420), Clinical Chemistry, Malmö (013016000)

Subject classification (UKÄ)

  • Cancer and Oncology

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