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. 2021 Jun 22;14:165. doi: 10.1186/s12920-021-01017-7

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© The Author(s) 2021

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. 2 — Identification of DNA Polymerase Epsilon (POLE)-Driven Ovarian Cancer Samples. a Distribution of the tumor mutation burden (TMB) attributed to the POLE signature across the cohorts from Mayo Clinic (Mayo), Genotype-Tissue Expression (GTEx), and The Cancer Genome Atlas (TCGA), which allows the identification of six samples (P1–P6) with high POLE contribution and more than five mutations per megabase. The red dashed line indicates a threshold used to separate between POLE positive and negative cases. b Mutational profiles of six POLE-driven Mayo Clinic OEC tumors according to the frequency of trinucleotide context for the six samples; their distinct C > A and C > T peaks are associated with the POLE signature. Red line denotes the threshold used for the outlier direction (5.7 Mut per Mb)