Novel diagnostic and prognostic classifiers for prostate cancer identified by genome-wide microRNA profiling

Helle Kristensen; Anni R. Thomsen; Christa Haldrup; Lars Dyrskjøt; Søren Høyer; Michael Borre; Peter Mouritzen; Torben F. Ørntoft; Karina Dalsgaard Sørensen

doi:10.18632/oncotarget.8953

Oncotarget

Oncotarget (a primarily oncology-focused, peer-reviewed, open access journal) aims to maximize research impact through insightful peer-review; eliminate borders between specialties by linking different fields of oncology, cancer research and biomedical sciences; and foster application of basic and clinical science.

Its scope is unique. The term "oncotarget" encompasses all molecules, pathways, cellular functions, cell types, and even tissues that can be viewed as targets relevant to cancer as well as other diseases. The term was introduced in the inaugural Editorial, Introducing Oncotarget.

As of January 1, 2022, Oncotarget has shifted to a continuous publishing model. Papers will now be published continuously within yearly volumes in their final and complete form and then quickly released to Pubmed.

Subscribe to receive alerts once a paper has been published by Oncotarget.

Learn about our FREE

Post-Publication Promotion Services

Impact Journals, LLC is the publisher of Oncotarget: www.impactjournals.com.

Impact Journals is a member of the Wellcome Trust List of Compliant Publishers.

Impact Journals is a member of the Society for Scholarly Publishing.

On December 23, 2022, Oncotarget server experienced a DDoS attack. As a result, Oncotarget site was inaccessible for a few hours. Oncotarget team swiftly dealt with the situation and took it under control. This malicious action will be reported to the FBI.

Research Papers:

Novel diagnostic and prognostic classifiers for prostate cancer identified by genome-wide microRNA profiling

Helle Kristensen, Anni R. Thomsen, Christa Haldrup, Lars Dyrskjøt, Søren Høyer, Michael Borre, Peter Mouritzen, Torben F. Ørntoft and Karina Dalsgaard Sørensen _

PDF | HTML | Supplementary Files | How to cite

Oncotarget. 2016; 7:30760-30771. https://doi.org/10.18632/oncotarget.8953

Metrics: PDF 2282 views | HTML 6025 views | ?

Abstract

Helle Kristensen1,2, Anni R. Thomsen2, Christa Haldrup1, Lars Dyrskjøt1, Søren Høyer3, Michael Borre4, Peter Mouritzen2, Torben F. Ørntoft1, Karina Dalsgaard Sørensen1

1Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark

2Exiqon A/S, Skelstedet, Vedbaek, Denmark

3Institute of Pathology, Aarhus University Hospital, Aarhus, Denmark

4Department of Urology, Aarhus University Hospital, Aarhus, Denmark

Correspondence to:

Karina Dalsgaard Sørensen, email: [email protected]

Keywords: prostate cancer, biomarker, diagnosis, prognosis, microRNA

Received: January 14, 2016 Accepted: April 02, 2016 Published: April 23, 2016

ABSTRACT

Purpose: This study investigates the diagnostic and prognostic biomarker potential of miRNAs in prostate cancer (PC).

Results: We identified several new deregulated miRNAs between non-malignant (NM) and PC tissue samples and between more/less aggressive PC subgroups. We also developed and validated a novel 13-miRNA diagnostic classifier with high sensitivity and specificity for PC. Finally, we trained a new 3-miRNA prognostic classifier (miR-185-5p+miR-221-3p+miR-326) that predicted time to biochemical recurrence (BCR) independently of routine clinicopathological variables in a training radical prostatectomy (RP) cohort (n = 126) as well as in two independent validation cohorts (n = 110 and n = 99).

Experimental Design: After RT-qPCR-based profiling of 752 miRNAs in 13 NM and 134 PC tissue samples (cohort 1), we selected 93 top candidate diagnostic/prognostic miRNAs for validation in two independent patient sets (cohort 2: 19 NM and 138 PC; cohort 3: 28 NM and 113 PC samples). Diagnostic potential was assessed by ROC curve analysis and prognostic potential by Kaplan-Meier, uni- and multivariate Cox regression analyses. BCR after RP was used as endpoint.

Conclusions: This is the first report of a miRNA signature with significant independent prognostic value demonstrated in three PC patient cohorts.

All site content, except where otherwise noted, is licensed under a Creative Commons Attribution 4.0 License.
PII: 8953

Publication Alerts

Oncoscience

Post-Publication Promotion

Research Papers:

Novel diagnostic and prognostic classifiers for prostate cancer identified by genome-wide microRNA profiling

Abstract