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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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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. |
format | Online Article Text |
id | pubmed-5979355 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT felleyboscoemanuela noncodingtranscriptheterogeneityinmesotheliomainsightsfromasbestosexposedmice AT rehrauerhubert noncodingtranscriptheterogeneityinmesotheliomainsightsfromasbestosexposedmice |