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. 2023 Jun 27;80(7):191. doi: 10.1007/s00018-023-04838-0

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© The Author(s) 2023

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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Fig. 2 — Genomic annotation of eccDNAs in GC and analysis of eccGenes. A Distribution of GCT- and NAT-eccDNAs in the indicated genomic regions. B Normalized eccDNA reads ratio mapped in specific repetitive genomic elements (median, short black line) C Heatmap represents the GCT differential genes with high eccDNA generation frequency compared with NAT. One row indicates one specific gene and the column indicates one sample. D GC prognosis-associated genes among the GCT-differential genes with high eccDNA-generation frequency. Good prognosis genes: hazard ratio < 1.0; Poor prognosis genes: hazard ratio > 1.0. E Copy number counts of eccDNAs derived from GC-related driver genes in the 13 individual patients. F The eccDNA browser track at the FGFR2 gene locus in both GCT and NAT of patient #7. The connection lines represent the structure of eccDNAs detected in either GCT or NAT