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Non-Coding Transcript Heterogeneity in Mesothelioma: Insights from Asbestos-Exposed Mice

Mesothelioma is an aggressive, rapidly fatal cancer and a better understanding of its molecular heterogeneity may help with making more efficient therapeutic strategies. Non-coding RNAs represent a larger part of the transcriptome but their contribution to diseases is not fully understood yet. We us...

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Detalles Bibliográficos
Autores principales: Felley-Bosco, Emanuela, Rehrauer, Hubert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5979355/
https://www.ncbi.nlm.nih.gov/pubmed/29641489
http://dx.doi.org/10.3390/ijms19041163
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author Felley-Bosco, Emanuela
Rehrauer, Hubert
author_facet Felley-Bosco, Emanuela
Rehrauer, Hubert
author_sort Felley-Bosco, Emanuela
collection PubMed
description Mesothelioma is an aggressive, rapidly fatal cancer and a better understanding of its molecular heterogeneity may help with making more efficient therapeutic strategies. Non-coding RNAs represent a larger part of the transcriptome but their contribution to diseases is not fully understood yet. We used recently obtained RNA-seq data from asbestos-exposed mice and performed data mining of publicly available datasets in order to evaluate how non-coding RNA contribute to mesothelioma heterogeneity. Nine non-coding RNAs are specifically elevated in mesothelioma tumors and contribute to human mesothelioma heterogeneity. Because some of them have known oncogenic properties, this study supports the concept of non-coding RNAs as cancer progenitor genes.
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spelling pubmed-59793552018-06-10 Non-Coding Transcript Heterogeneity in Mesothelioma: Insights from Asbestos-Exposed Mice Felley-Bosco, Emanuela Rehrauer, Hubert Int J Mol Sci Communication Mesothelioma is an aggressive, rapidly fatal cancer and a better understanding of its molecular heterogeneity may help with making more efficient therapeutic strategies. Non-coding RNAs represent a larger part of the transcriptome but their contribution to diseases is not fully understood yet. We used recently obtained RNA-seq data from asbestos-exposed mice and performed data mining of publicly available datasets in order to evaluate how non-coding RNA contribute to mesothelioma heterogeneity. Nine non-coding RNAs are specifically elevated in mesothelioma tumors and contribute to human mesothelioma heterogeneity. Because some of them have known oncogenic properties, this study supports the concept of non-coding RNAs as cancer progenitor genes. MDPI 2018-04-11 /pmc/articles/PMC5979355/ /pubmed/29641489 http://dx.doi.org/10.3390/ijms19041163 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Felley-Bosco, Emanuela
Rehrauer, Hubert
Non-Coding Transcript Heterogeneity in Mesothelioma: Insights from Asbestos-Exposed Mice
title Non-Coding Transcript Heterogeneity in Mesothelioma: Insights from Asbestos-Exposed Mice
title_full Non-Coding Transcript Heterogeneity in Mesothelioma: Insights from Asbestos-Exposed Mice
title_fullStr Non-Coding Transcript Heterogeneity in Mesothelioma: Insights from Asbestos-Exposed Mice
title_full_unstemmed Non-Coding Transcript Heterogeneity in Mesothelioma: Insights from Asbestos-Exposed Mice
title_short Non-Coding Transcript Heterogeneity in Mesothelioma: Insights from Asbestos-Exposed Mice
title_sort non-coding transcript heterogeneity in mesothelioma: insights from asbestos-exposed mice
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5979355/
https://www.ncbi.nlm.nih.gov/pubmed/29641489
http://dx.doi.org/10.3390/ijms19041163
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