Int. J. Mol. Sci. 2018, 19(4), 1163; https://doi.org/10.3390/ijms19041163
Non-Coding Transcript Heterogeneity in Mesothelioma: Insights from Asbestos-Exposed Mice
Emanuela Felley-Bosco 1,*
and Hubert Rehrauer 2
and Hubert Rehrauer 21
Laboratory of Molecular Oncology, Lungen- und Thoraxonkologie Zentrum, University Hospital Zurich, Sternwartstrasse 14, 8091 Zürich, Switzerland
2
Functional Genomics Center Zurich, ETH Zurich and University of Zurich, 8057 Zurich, Switzerland
*
Author to whom correspondence should be addressed.
Received: 7 March 2018 / Revised: 5 April 2018 / Accepted: 10 April 2018 / Published: 11 April 2018
(This article belongs to the Special Issue Mesothelioma Heterogeneity: Potential Mechanisms)
Abstract
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. View Full-Text
Graphical abstract
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Felley-Bosco, E.; Rehrauer, H. Non-Coding Transcript Heterogeneity in Mesothelioma: Insights from Asbestos-Exposed Mice. Int. J. Mol. Sci. 2018, 19, 1163.
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