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. 2020 Nov 9;10(11):117. doi: 10.1038/s41408-020-00382-3

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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 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. 1 — A Analysis workflow for identification of MYC, BCL2, and BCL6 translocation and/or can subgroups. B The landscape of translocations and CNAs (only copy number gains are shown), among DH/TH, Alt-DH/TH, translocation positive, copy gain positive, and no alteration subgroups in the Mayo Cohort (upper panel, n = 260) and the Chapuy et al. Cohort (lower panel, n = 219). C Frequencies of CNA combinations in translocation subgroups, excluding DH/TH. D Percentage of patients positive and negative for protein expression (MYC n = 192, positive ≥ 40% cells; BCL2 n = 201, positive ≥ 50% cells; BCL6 n = 41, positive ≥ 30% cells) according to their translocation (Tx) and CNA status. E Total number of Translocation or CNA events for each alteration by COO. F Percentage of each COO subgroup according to their genetic subgroup.