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. 2022 Feb 28;8:91. doi: 10.1038/s41420-022-00883-z

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© The Author(s) 2022

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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Fig. 5 — A Correlation between the mRNA expression levels of EIF4EBP1 and ETS1 (light blue dots) or MYBL2 (yellow dots) in the indicated human cancer types (Table S3). Co-expression levels were quantified by calculating the Pearson correlation coefficient. Each dot represents the R-value for one cohort. The dotted line corresponds to an R-value of 0.3, chosen as the cut-off for positive correlation. B–H Representative co-expression analysis between EIF4EBP1 mRNA and B, D, F ETS1 (light blue dots) or C, E, G MYBL2 (yellow dots) mRNA levels in the indicated tumor type and cohort. The represented cohorts are (B, C) glioma (KAWAGUCHI cohort; n = 50) [36], D, E breast cancer (BLACK cohort; n = 107) [45], and F, G lung cancer (CHUANG cohort; n = 60) cohort [46]. Co-expression levels were quantified by calculating the Pearson correlation coefficient. GIT, gastrointestinal tract.