Daniel G. Weber, Katarzyna Gawrych, Swaantje Casjens, Alexander Brik, Martin Lehnert, Dirk Taeger, Beate Pesch, Jens Kollmeier, Torsten Thomas Bauer, Georg Johnen, Thomas Brüning
- The use of circulating microRNAs as biomarkers has opened new opportunities for diagnosis of cancer because microRNAs exhibit tumor-specific expression profiles. The aim of this study was the identification of circulating microRNAs in human plasma as potential biomarkers for the diagnosis of malignant mesothelioma. For discovery, TaqMan Low Density Array HumanMicroRNA Cards were used to analyze 377 microRNAs in plasma samples from 21 mesothelioma patients and 21 asbestos-exposed controls. For verification, individual TaqMan microRNA assays were used for quantitative real-time PCR in plasma samples from 22 mesothelioma patients and 44 asbestos-exposed controls. The circulating miR-132-3p showed different expression levels between mesothelioma patients and asbestos-exposed controls. For discrimination, sensitivity of 86% and specificity of 61% were calculated. Circulating miR-132-3p in plasma was not affected by hemolysis and no impact of age or smoking status on miR-132-3p levels could be observed. For the combination of miR-132-3p with the previously described miR-126, sensitivity of 77% and specificity of 86% were calculated.The results of this study indicate that miR-132-3p might be a new promising diagnostic biomarker for malignant mesothelioma. It is indicated that the combination of miR-132-3p with other individual biomarkers improves the biomarker performance.
MetadatenAuthor: | Daniel G. WeberORCiDGND, Katarzyna GawrychGND, Swaantje CasjensORCiDGND, Alexander BrikGND, Martin LehnertGND, Dirk TaegerORCiDGND, Beate PeschORCiDGND, Jens KollmeierGND, Torsten Thomas BauerGND, Georg JohnenORCiDGND, Thomas BrüningORCiDGND |
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URN: | urn:nbn:de:hbz:294-58624 |
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DOI: | https://doi.org/10.1155/2017/9280170 |
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Parent Title (English): | Disease markers |
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Document Type: | Article |
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Language: | English |
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Date of Publication (online): | 2018/07/05 |
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Date of first Publication: | 2017/02/21 |
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Publishing Institution: | Ruhr-Universität Bochum, Universitätsbibliothek |
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Tag: | Open Access Fonds |
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Volume: | 2017 |
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First Page: | 9280170-1 |
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Last Page: | 9280170-15 |
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Note: | Article Processing Charge funded by the Deutsche Forschungsgemeinschaft (DFG) and the Open Access Publication Fund of Ruhr-Universität Bochum. |
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Note: | Disease Markers, Bd. 2017, Artikelnummer 9280170 |
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Institutes/Facilities: | Institut für Prävention und Arbeitsmedizin der Deutschen Gesetzlichen Unfallversicherung |
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Dewey Decimal Classification: | Naturwissenschaften und Mathematik / Biowissenschaften, Biologie, Biochemie |
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open_access (DINI-Set): | open_access |
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Licence (English): | Creative Commons - CC BY 4.0 - Attribution 4.0 International |
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