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Genes 2017, 8(1), 8; doi:10.3390/genes8010008

Non-Coding RNAs in Lung Cancer: Contribution of Bioinformatics Analysis to the Development of Non-Invasive Diagnostic Tools

1
Functional Genomics and Systems Biology Group, Department of Bioinformatics, Biocenter, University of Wuerzburg, 97074 Wuerzburg, Germany
2
University of Applied Sciences and Arts of Western Switzerland, Perolles 80, 1700 Fribourg, Switzerland
3
Institute of Experimental Biomedicine, University Hospital Wuerzburg, 97080 Wuerzburg, Germany
4
Phenosystems SA, 137 Rue de Tubize, 1440 Braine le Château, Belgium
5
Department of Cardiothoracic Surgery, University Hospital of Wuerzburg, 97080 Wuerzburg, Germany
6
Department of Tissue Engineering and Regenerative Medicine, University Hospital Wuerzburg, Roentgenring 11, 97070 Wuerzburg, Germany
7
Translational Center Wuerzburg “Regenerative therapies in oncology and musculoskeletal disease” Wuerzburg branch of the Fraunhofer Institute Interfacial Engineering and Biotechnology (IGB), Roentgenring 11, 97070 Wuerzburg, Germany
8
BioComputing Unit, European Molecular Biology Laboratory (EMBL) Heidelberg, Meyerhofstraße 1, 69117 Heidelberg, Germany
*
Author to whom correspondence should be addressed.
Academic Editor: George A. Calin
Received: 16 October 2016 / Revised: 5 December 2016 / Accepted: 15 December 2016 / Published: 26 December 2016
(This article belongs to the Special Issue microRNAs and Other Non-Coding RNAs in Human Diseases)
View Full-Text   |   Download PDF [1296 KB, uploaded 26 December 2016]   |  

Abstract

Lung cancer is currently the leading cause of cancer related mortality due to late diagnosis and limited treatment intervention. Non-coding RNAs are not translated into proteins and have emerged as fundamental regulators of gene expression. Recent studies reported that microRNAs and long non-coding RNAs are involved in lung cancer development and progression. Moreover, they appear as new promising non-invasive biomarkers for early lung cancer diagnosis. Here, we highlight their potential as biomarker in lung cancer and present how bioinformatics can contribute to the development of non-invasive diagnostic tools. For this, we discuss several bioinformatics algorithms and software tools for a comprehensive understanding and functional characterization of microRNAs and long non-coding RNAs. View Full-Text
Keywords: lung cancer; non-invasive biomarkers; miRNAs; lncRNAs; early diagnosis; bioinformatics; algorithm lung cancer; non-invasive biomarkers; miRNAs; lncRNAs; early diagnosis; bioinformatics; algorithm
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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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Kunz, M.; Wolf, B.; Schulze, H.; Atlan, D.; Walles, T.; Walles, H.; Dandekar, T. Non-Coding RNAs in Lung Cancer: Contribution of Bioinformatics Analysis to the Development of Non-Invasive Diagnostic Tools. Genes 2017, 8, 8.

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