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. 2017 Oct 19;7:13534. doi: 10.1038/s41598-017-13903-1

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© The Author(s) 2017

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Pipeline description. (a) Paired RNAseq and miRseq expression data from 86 patients were obtained from TCGA. (b) Data preprocessing and normalization. (c) Normalized expression matrix with miR and mRNA (rows) expression values for each sample (columns). (d) Network construction by the ARACNE algorithm with the expression matrix as input. (e) Network analysis and result integration. (f) Gene ontology enrichment analysis from resulting network nodes (mRNAs). (g) Pathifier analysis from resulting network nodes (mRNAs) with first neighbour associations with miR-200 and DLK1-DIO3 miRs.