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. 2022 Feb 11;20:84. doi: 10.1186/s12967-021-03227-0

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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. 1 — Pan-cancer cell lines organized based on transcriptomics data from CCLE database. a t-SNE plots of cancer cell lines based on global transcriptome data. Each point represents a cell line and is coloured by the tissue of origin (1), expression of epithelial genes (2), or expression of mesenchymal genes (3). b t-SNE plots of cancer cell lines based on expression of epithelial genes. c t-SNE plots of cancer cell lines based on expression of mesenchymal genes