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High-throughput miRNA profiling of human melanoma blood samples
BACKGROUND: MicroRNA (miRNA) signatures are not only found in cancer tissue but also in blood of cancer patients. Specifically, miRNA detection in blood offers the prospect of a non-invasive analysis tool. METHODS: Using a microarray based approach we screened almost 900 human miRNAs to detect miRNA...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2889897/ https://www.ncbi.nlm.nih.gov/pubmed/20529253 http://dx.doi.org/10.1186/1471-2407-10-262 |
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author | Leidinger, Petra Keller, Andreas Borries, Anne Reichrath, Jörg Rass, Knuth Jager, Sven U Lenhof, Hans-Peter Meese, Eckart |
author_facet | Leidinger, Petra Keller, Andreas Borries, Anne Reichrath, Jörg Rass, Knuth Jager, Sven U Lenhof, Hans-Peter Meese, Eckart |
author_sort | Leidinger, Petra |
collection | PubMed |
description | BACKGROUND: MicroRNA (miRNA) signatures are not only found in cancer tissue but also in blood of cancer patients. Specifically, miRNA detection in blood offers the prospect of a non-invasive analysis tool. METHODS: Using a microarray based approach we screened almost 900 human miRNAs to detect miRNAs that are deregulated in their expression in blood cells of melanoma patients. We analyzed 55 blood samples, including 20 samples of healthy individuals, 24 samples of melanoma patients as test set, and 11 samples of melanoma patients as independent validation set. RESULTS: A hypothesis test based approch detected 51 differentially regulated miRNAs, including 21 miRNAs that were downregulated in blood cells of melanoma patients and 30 miRNAs that were upregulated in blood cells of melanoma patients as compared to blood cells of healthy controls. The tets set and the independent validation set of the melanoma samples showed a high correlation of fold changes (0.81). Applying hierarchical clustering and principal component analysis we found that blood samples of melanoma patients and healthy individuals can be well differentiated from each other based on miRNA expression analysis. Using a subset of 16 significant deregulated miRNAs, we were able to reach a classification accuracy of 97.4%, a specificity of 95% and a sensitivity of 98.9% by supervised analysis. MiRNA microarray data were validated by qRT-PCR. CONCLUSIONS: Our study provides strong evidence for miRNA expression signatures of blood cells as useful biomarkers for melanoma. |
format | Text |
id | pubmed-2889897 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-28898972010-06-23 High-throughput miRNA profiling of human melanoma blood samples Leidinger, Petra Keller, Andreas Borries, Anne Reichrath, Jörg Rass, Knuth Jager, Sven U Lenhof, Hans-Peter Meese, Eckart BMC Cancer Research Article BACKGROUND: MicroRNA (miRNA) signatures are not only found in cancer tissue but also in blood of cancer patients. Specifically, miRNA detection in blood offers the prospect of a non-invasive analysis tool. METHODS: Using a microarray based approach we screened almost 900 human miRNAs to detect miRNAs that are deregulated in their expression in blood cells of melanoma patients. We analyzed 55 blood samples, including 20 samples of healthy individuals, 24 samples of melanoma patients as test set, and 11 samples of melanoma patients as independent validation set. RESULTS: A hypothesis test based approch detected 51 differentially regulated miRNAs, including 21 miRNAs that were downregulated in blood cells of melanoma patients and 30 miRNAs that were upregulated in blood cells of melanoma patients as compared to blood cells of healthy controls. The tets set and the independent validation set of the melanoma samples showed a high correlation of fold changes (0.81). Applying hierarchical clustering and principal component analysis we found that blood samples of melanoma patients and healthy individuals can be well differentiated from each other based on miRNA expression analysis. Using a subset of 16 significant deregulated miRNAs, we were able to reach a classification accuracy of 97.4%, a specificity of 95% and a sensitivity of 98.9% by supervised analysis. MiRNA microarray data were validated by qRT-PCR. CONCLUSIONS: Our study provides strong evidence for miRNA expression signatures of blood cells as useful biomarkers for melanoma. BioMed Central 2010-06-07 /pmc/articles/PMC2889897/ /pubmed/20529253 http://dx.doi.org/10.1186/1471-2407-10-262 Text en Copyright ©2010 Leidinger et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Leidinger, Petra Keller, Andreas Borries, Anne Reichrath, Jörg Rass, Knuth Jager, Sven U Lenhof, Hans-Peter Meese, Eckart High-throughput miRNA profiling of human melanoma blood samples |
title | High-throughput miRNA profiling of human melanoma blood samples |
title_full | High-throughput miRNA profiling of human melanoma blood samples |
title_fullStr | High-throughput miRNA profiling of human melanoma blood samples |
title_full_unstemmed | High-throughput miRNA profiling of human melanoma blood samples |
title_short | High-throughput miRNA profiling of human melanoma blood samples |
title_sort | high-throughput mirna profiling of human melanoma blood samples |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2889897/ https://www.ncbi.nlm.nih.gov/pubmed/20529253 http://dx.doi.org/10.1186/1471-2407-10-262 |
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