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. 2022 Jan 6;14:3. doi: 10.1186/s13148-021-01226-y

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© The Author(s) 2022

Open AccessThis 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/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 3 — Tumor DNA methylation analysis. A Global DNA methylation beta plots for pre- and on-treatment samples are shown. X-axis (beta value) represents the ratio of methylated alleles to total alleles (methylated plus unmethylated) for each genomic site, and Y-axis represents the prevalence of the genomic sites with the corresponding beta values. Loci are unmethylated (beta values < 0.2). Green boxes highlight patients in whom many hypermethylated genomic loci decreased in methylation on-treatment compared to pre-treatment levels, indicating demethylation. B Average DNA methylation at promoter sites across the genome in pre- and on-treatment samples. **p < 0.005. C Difference between on-treatment and pre-treatment promoter site methylation for each patient, plotted with mean and 95% CI