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. 2022 Jun 7;22:150. doi: 10.1186/s12906-022-03623-z

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© The Author(s) 2022

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. 2 — Drug-related differential genes of endometrial cancer and their interactions. a Volcano plot of 6989 differentially-drug genes in endometrial cancer; b Venny plot of 22 drug-related differential genes (DR-DEGs); c Heatmap of 22 DR-DEGs (N represents normal group, T represents tumor group; red represents high gene expression, blue represents low gene expression, and the depth of color represents the level of expression); d The relationship between 22 DR-DEGs (red line is Positive correlation, blue line is negative correlation, and the depth of color represents the strength of the correlation); e Disease- target-drug network diagram (red indicates gene up-regulation, green indicates gene down-regulation, and color depth represents the degree of regulation)