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Small RNAs as biomarkers to differentiate benign and malign prostate diseases: An alternative for transrectal punch biopsy of the prostate?

Prostate cancer (PCa) is the most common cancer and the third most frequent cause of male cancer death in Germany. MicroRNAs (miRNA) appear to be involved in the development and progression of PCa. A diagnostic differentiation from benign prostate hyperplasia (BPH) is often only possible through tra...

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Autores principales: Markert, Lukas, Holdmann, Jonas, Klinger, Claudia, Kaufmann, Michael, Schork, Karin, Turewicz, Michael, Eisenacher, Martin, Savelsbergh, Andreas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7990312/
https://www.ncbi.nlm.nih.gov/pubmed/33760831
http://dx.doi.org/10.1371/journal.pone.0247930
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author Markert, Lukas
Holdmann, Jonas
Klinger, Claudia
Kaufmann, Michael
Schork, Karin
Turewicz, Michael
Eisenacher, Martin
Savelsbergh, Andreas
author_facet Markert, Lukas
Holdmann, Jonas
Klinger, Claudia
Kaufmann, Michael
Schork, Karin
Turewicz, Michael
Eisenacher, Martin
Savelsbergh, Andreas
author_sort Markert, Lukas
collection PubMed
description Prostate cancer (PCa) is the most common cancer and the third most frequent cause of male cancer death in Germany. MicroRNAs (miRNA) appear to be involved in the development and progression of PCa. A diagnostic differentiation from benign prostate hyperplasia (BPH) is often only possible through transrectal punch biopsy. This procedure is described as painful and carries risks. It was investigated whether urinary miRNAs can be used as biomarkers to differentiate the prostate diseases above. Therefore urine samples from urological patients with BPH (25) or PCa (28) were analysed using Next-Generation Sequencing to detect the expression profile of total and exosomal miRNA/piRNA. 79 miRNAs and 5 piwi-interacting RNAs (piRNAs) were significantly differentially expressed (adjusted p-value < 0.05 and log2-Fc > 1 or < -1). Of these, 6 miRNAs and 2 piRNAs could be statistically validated (AUC on test cohort > = 0.7). In addition, machine-learning algorithms were used to identify a panel of 22 additional miRNAs, whose interaction makes it possible to differentiate the groups as well. There are promising individual candidates for potential use as biomarkers in prostate cancer. The innovative approach of applying machine learning methods to this kind of data could lead to further small RNAs coming into scientific focus, which have so far been neglected.
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spelling pubmed-79903122021-04-05 Small RNAs as biomarkers to differentiate benign and malign prostate diseases: An alternative for transrectal punch biopsy of the prostate? Markert, Lukas Holdmann, Jonas Klinger, Claudia Kaufmann, Michael Schork, Karin Turewicz, Michael Eisenacher, Martin Savelsbergh, Andreas PLoS One Research Article Prostate cancer (PCa) is the most common cancer and the third most frequent cause of male cancer death in Germany. MicroRNAs (miRNA) appear to be involved in the development and progression of PCa. A diagnostic differentiation from benign prostate hyperplasia (BPH) is often only possible through transrectal punch biopsy. This procedure is described as painful and carries risks. It was investigated whether urinary miRNAs can be used as biomarkers to differentiate the prostate diseases above. Therefore urine samples from urological patients with BPH (25) or PCa (28) were analysed using Next-Generation Sequencing to detect the expression profile of total and exosomal miRNA/piRNA. 79 miRNAs and 5 piwi-interacting RNAs (piRNAs) were significantly differentially expressed (adjusted p-value < 0.05 and log2-Fc > 1 or < -1). Of these, 6 miRNAs and 2 piRNAs could be statistically validated (AUC on test cohort > = 0.7). In addition, machine-learning algorithms were used to identify a panel of 22 additional miRNAs, whose interaction makes it possible to differentiate the groups as well. There are promising individual candidates for potential use as biomarkers in prostate cancer. The innovative approach of applying machine learning methods to this kind of data could lead to further small RNAs coming into scientific focus, which have so far been neglected. Public Library of Science 2021-03-24 /pmc/articles/PMC7990312/ /pubmed/33760831 http://dx.doi.org/10.1371/journal.pone.0247930 Text en © 2021 Markert et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Markert, Lukas
Holdmann, Jonas
Klinger, Claudia
Kaufmann, Michael
Schork, Karin
Turewicz, Michael
Eisenacher, Martin
Savelsbergh, Andreas
Small RNAs as biomarkers to differentiate benign and malign prostate diseases: An alternative for transrectal punch biopsy of the prostate?
title Small RNAs as biomarkers to differentiate benign and malign prostate diseases: An alternative for transrectal punch biopsy of the prostate?
title_full Small RNAs as biomarkers to differentiate benign and malign prostate diseases: An alternative for transrectal punch biopsy of the prostate?
title_fullStr Small RNAs as biomarkers to differentiate benign and malign prostate diseases: An alternative for transrectal punch biopsy of the prostate?
title_full_unstemmed Small RNAs as biomarkers to differentiate benign and malign prostate diseases: An alternative for transrectal punch biopsy of the prostate?
title_short Small RNAs as biomarkers to differentiate benign and malign prostate diseases: An alternative for transrectal punch biopsy of the prostate?
title_sort small rnas as biomarkers to differentiate benign and malign prostate diseases: an alternative for transrectal punch biopsy of the prostate?
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7990312/
https://www.ncbi.nlm.nih.gov/pubmed/33760831
http://dx.doi.org/10.1371/journal.pone.0247930
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