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. 2023 Apr 15;13:6147. doi: 10.1038/s41598-023-32332-x

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© The Author(s) 2023

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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/.

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(A) Heat map of highly validated miRNAs and pathway they involved using miRPathDB v2.0 (https://mpd.bioinf.uni-sb.de/heatmap_calculator.html?organism=hsa) (B) candidate miRNAs and their common target genes using Venn diagram online database (https://bioinformatics.psb.ugent.be/webtools/Venn/); (C) 100 highly scored genes based on degree were selected using Cytohubba tools (https://cytoscape.org/ cytoscape version3.9.1) (D) miRNA-target genes; Hub genes reanalyzed by string database consist of 100 nodes and 223 edges. We set the highest confidence score of 0.9 and hide disconnected nodes in the network (https://string-db.org/).