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. 2020 Jul 14;10:11581. doi: 10.1038/s41598-020-68507-z

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© The Author(s) 2020

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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Differential gene expression (DEG) and Reactome pathways analysis between primary insulinoma (INS) tissues and INS-metastatic lymph node tissue. Violin chart plot (A) based on log2FC display the DEG highlighting the set of altered genes and the distribution in the up and down set with log2FC < − 2 and > 2. Based on the 164 differentially expressed genes primary INS and metastatic lymph nodes were clustered using heatmap2 function (B) and matrix correlation (C). Reactome analysis of the enriched function according to Gene set enrichment analysis shows the enriched pathways in the downregulated (D) set selected based on the False discovery rate (FDR < 0.05), where the size represents the number of genes in the pathway and the Rank at Max shows the presence of these genes between the top up- or downregulated. Patients’ stage is described in Supplementary Table 1.