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Oncogenic structural aberration landscape in gastric cancer genomes
Structural variants (SVs) are responsible for driver events in gastric cancer (GC); however, their patterns and processes remain poorly understood. Here, we examine 170 GC whole genomes to unravel the oncogenic structural aberration landscape in GC genomes and identify six rearrangement signatures (...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287692/ https://www.ncbi.nlm.nih.gov/pubmed/37349325 http://dx.doi.org/10.1038/s41467-023-39263-1 |
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author | Saito-Adachi, Mihoko Hama, Natsuko Totoki, Yasushi Nakamura, Hiromi Arai, Yasuhito Hosoda, Fumie Rokutan, Hirofumi Yachida, Shinichi Kato, Mamoru Fukagawa, Akihiko Shibata, Tatsuhiro |
author_facet | Saito-Adachi, Mihoko Hama, Natsuko Totoki, Yasushi Nakamura, Hiromi Arai, Yasuhito Hosoda, Fumie Rokutan, Hirofumi Yachida, Shinichi Kato, Mamoru Fukagawa, Akihiko Shibata, Tatsuhiro |
author_sort | Saito-Adachi, Mihoko |
collection | PubMed |
description | Structural variants (SVs) are responsible for driver events in gastric cancer (GC); however, their patterns and processes remain poorly understood. Here, we examine 170 GC whole genomes to unravel the oncogenic structural aberration landscape in GC genomes and identify six rearrangement signatures (RSs). Non-random combinations of RSs elucidate distinctive GC subtypes comprising one or a few dominant RS that are associated with specific driver events (BRCA1/2 defects, mismatch repair deficiency, and TP53 mutation) and epidemiological backgrounds. Twenty-seven SV hotspots are identified as GC driver candidates. SV hotspots frequently constitute complexly clustered SVs involved in driver gene amplification, such as ERBB2, CCNE1, and FGFR2. Further deconstruction of the locally clustered SVs uncovers amplicon-generating profiles characterized by super-large SVs and intensive segmental amplifications, contributing to the extensive amplification of GC oncogenes. Comprehensive analyses using adjusted SV allele frequencies indicate the significant involvement of extra-chromosomal DNA in processes linked to specific RSs. |
format | Online Article Text |
id | pubmed-10287692 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-102876922023-06-24 Oncogenic structural aberration landscape in gastric cancer genomes Saito-Adachi, Mihoko Hama, Natsuko Totoki, Yasushi Nakamura, Hiromi Arai, Yasuhito Hosoda, Fumie Rokutan, Hirofumi Yachida, Shinichi Kato, Mamoru Fukagawa, Akihiko Shibata, Tatsuhiro Nat Commun Article Structural variants (SVs) are responsible for driver events in gastric cancer (GC); however, their patterns and processes remain poorly understood. Here, we examine 170 GC whole genomes to unravel the oncogenic structural aberration landscape in GC genomes and identify six rearrangement signatures (RSs). Non-random combinations of RSs elucidate distinctive GC subtypes comprising one or a few dominant RS that are associated with specific driver events (BRCA1/2 defects, mismatch repair deficiency, and TP53 mutation) and epidemiological backgrounds. Twenty-seven SV hotspots are identified as GC driver candidates. SV hotspots frequently constitute complexly clustered SVs involved in driver gene amplification, such as ERBB2, CCNE1, and FGFR2. Further deconstruction of the locally clustered SVs uncovers amplicon-generating profiles characterized by super-large SVs and intensive segmental amplifications, contributing to the extensive amplification of GC oncogenes. Comprehensive analyses using adjusted SV allele frequencies indicate the significant involvement of extra-chromosomal DNA in processes linked to specific RSs. Nature Publishing Group UK 2023-06-22 /pmc/articles/PMC10287692/ /pubmed/37349325 http://dx.doi.org/10.1038/s41467-023-39263-1 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Saito-Adachi, Mihoko Hama, Natsuko Totoki, Yasushi Nakamura, Hiromi Arai, Yasuhito Hosoda, Fumie Rokutan, Hirofumi Yachida, Shinichi Kato, Mamoru Fukagawa, Akihiko Shibata, Tatsuhiro Oncogenic structural aberration landscape in gastric cancer genomes |
title | Oncogenic structural aberration landscape in gastric cancer genomes |
title_full | Oncogenic structural aberration landscape in gastric cancer genomes |
title_fullStr | Oncogenic structural aberration landscape in gastric cancer genomes |
title_full_unstemmed | Oncogenic structural aberration landscape in gastric cancer genomes |
title_short | Oncogenic structural aberration landscape in gastric cancer genomes |
title_sort | oncogenic structural aberration landscape in gastric cancer genomes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10287692/ https://www.ncbi.nlm.nih.gov/pubmed/37349325 http://dx.doi.org/10.1038/s41467-023-39263-1 |
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