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. 2022 Apr 21;13(4):392. doi: 10.1038/s41419-022-04838-1

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© The Author(s) 2022

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 Summary of integrated DNA and RNA sequencing in this study. B Landscape of genetic alterations of 192 FUSCC GC patients. The samples were sorted by metastatic-potential and the number of mutations. Top 20 mutated genes were presented which were sorted by mutation rates. C Summary of variants across 192 FUSCC GC samples, including variant classification, variant type (SNP/INS/DEL), number of variants and SNV class. D Signatures were extracted by decomposing matrix of base substitutions, which were classified into 96 patterns based on mutation type and nucleotides adjacent to the mutated base. The most similar validated signatures were shown and cosine-similarity was calculated to identify best match.