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. 2020 Sep 2;10:14491. doi: 10.1038/s41598-020-71559-w

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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 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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Multivariate linear prediction models of metagene signatures for select major oncogenic traits (mesenchymal/EMT, stemness, cell cycle). (A) Heatmap representation of the correlations between predicted and observed values of metagenes in 37 tumor types, taking GLI1/GLI2, the three HH and three TGFB genes together. Corresponding numerical values are provided in Supplementary Table S4B. (B) Heatmap representation of the coefficients from the linear models for each of the 3 metagenes in each tumor type, based on the combined expression of either GLI1 and GLI2, or the three HH or TGFB genes. Corresponding numerical values are provided in Supplementary Table S4B.