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. 2018 Jun 14;8:9105. doi: 10.1038/s41598-018-27358-5

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© The Author(s) 2018

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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miR-1 and miR-122 levels are negatively correlated in human liver cancer. Scatterplot and linear regression of miR-122 and miR-1 levels in liver cancer patients. The LIHC-TCGA data downloaded from UCSC Xena Cancer browser (xenabrowser.net) was plotted and linear regression coefficients were calculated using the lm() function in R. Overall regression coefficient between miR-122 and miR-1 was calculated as −0.212 (p-value = 1.22 × 107). Data was further stratified by G6PD mRNA levels (high = dark blue, low = light blue). Individual coefficients and p-values were calculated for each condition using the lm() function in R and are shown on the plot. Density plots were used to visualize the distribution of miR-1 (top panel) and miR-122 (right panel) levels in the context of G6PD mRNA levels. Kolmogorov–Smirnov test was used to calculate significant differences in the relative distribution of miRNA and G6PD mRNA levels (miR-122 p-value = 1.94 × 10⁻⁸, miR-1 p-value = 0.09263).