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. 2020 Sep 28;10:15934. doi: 10.1038/s41598-020-72942-3

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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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YBX1 and PRMT5 are highly amplified and are significantly correlated in CRC patient samples. (A) Box-whisker plots showing transcript levels of YBX1 (left panel) and PRMT5 (right panel) across colorectal adenocarcinoma (COAD) tumors and normal based on individual cancer stages. Individual cancer stages were based on AJCC (American Joint Committee on Cancer) pathologic tumor stage information and samples were divided into stage I, stage II, stage III and stage IV group. Courtesy of UALCAN web-portal, publicly

available at https://ualcan.path.uab.edu. (B) Scatter plot showing the expression level of YBX1 (x-axis) and PRMT5 (y-axis). Each dot represents log-transformed fragments per kilobase of transcript per million mapped reads (FPKM) for individual samples. To obtain data, 459 TCGA colorectal adenocarcinoma tumor samples was queried from cBioPortal using R package CGDS-R (https://cran.r-project.org/web/packages/cgdsr). The Pearson correlation was conducted between PRMT5 and YBX1 to detect how much two genes are related. The above analyses were conducted in statistical environment R v3.6 and p value less than 0.05 was considered as statistically significant, and Bonferroni correction is used in place of multiple-comparison. R² = 0.04868.