Int. J. Mol. Sci. 2018, 19(4), 1163; doi: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
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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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