Kunz Meik, Wolf Beat, Schulze Harald, Atlan David, Walles Thorsten, Walles Heike, Dandekar Thomas
Functional Genomics and Systems Biology Group, Department of Bioinformatics, Biocenter, University of Wuerzburg, 97074 Wuerzburg, Germany.
University of Applied Sciences and Arts of Western Switzerland, Perolles 80, 1700 Fribourg, Switzerland.
Genes (Basel). 2016 Dec 26;8(1):8. doi: 10.3390/genes8010008.
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.
由于诊断延迟和治疗干预有限，肺癌目前是癌症相关死亡的主要原因。非编码RNA不翻译成蛋白质，已成为基因表达的基本调节因子。最近的研究报道，微小RNA和长链非编码RNA参与肺癌的发生和发展。此外，它们有望成为早期肺癌诊断的新型非侵入性生物标志物。在此，我们强调它们作为肺癌生物标志物的潜力，并介绍生物信息学如何有助于开发非侵入性诊断工具。为此，我们讨论了几种生物信息学算法和软件工具，以全面了解微小RNA和长链非编码RNA并对其进行功能表征。
