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. 2021 Mar 1;21:207. doi: 10.1186/s12885-021-07857-x

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© The Author(s) 2021

Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 1 — Microarray gene expression analysis in the 10 paired colorectal adenoma and adenocarcinoma samples of this study. A: Volcano Plot representing the set of genes analyzed by gene expression in the ten paired samples of colorectal adenoma and adenocarcinoma. Pink dots represent upregulated genes in adenocarcinoma when compared to adenoma; Green dots represent upregulated genes in adenoma when compared to adenocarcinoma. B: Unsupervised hierarchical clustering analysis in adenoma and adenocarcinoma samples based on the 689 differentially expressed genes (log 2 FC≥2 and FDR≤0,05)