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


Felley-Bosco, Emanuela; Rehrauer, Hubert (2018). Non-Coding Transcript Heterogeneity in Mesothelioma: Insights from Asbestos-Exposed Mice. International Journal of Molecular Sciences, 19(4):1163.

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.

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.

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Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > Functional Genomics Center Zurich
04 Faculty of Medicine > University Hospital Zurich > Clinic for Thoracic Surgery
Dewey Decimal Classification:570 Life sciences; biology
610 Medicine & health
Scopus Subject Areas:Physical Sciences > Catalysis
Life Sciences > Molecular Biology
Physical Sciences > Spectroscopy
Physical Sciences > Computer Science Applications
Physical Sciences > Physical and Theoretical Chemistry
Physical Sciences > Organic Chemistry
Physical Sciences > Inorganic Chemistry
Language:English
Date:11 April 2018
Deposited On:25 Jan 2019 15:34
Last Modified:01 Dec 2023 08:15
Publisher:MDPI Publishing
ISSN:1422-0067
OA Status:Gold
Free access at:PubMed ID. An embargo period may apply.
Publisher DOI:https://doi.org/10.3390/ijms19041163
PubMed ID:29641489
  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)