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. 2019 Sep 17;10(10):685. doi: 10.1038/s41419-019-1935-0

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© The Author(s) 2019

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. 6 — PICOT (Glrx3) and CCND2 mRNA expression levels in five different types of human cancer tissues were downloaded from the TCGA using ISB Cancer Genomics Cloud. Outlier samples were removed by clipping the top and bottom deciles of each expression distribution. The correlation between PICOT and CCND2 mRNA expression is illustrated as scatter plots where each dot represents a single cancer tissue sample. For each type of cancer, the total number of patients (N), the Pearson’s correlation value (Cor), and the p value are indicated