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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 (...

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Autores principales: Saito-Adachi, Mihoko, Hama, Natsuko, Totoki, Yasushi, Nakamura, Hiromi, Arai, Yasuhito, Hosoda, Fumie, Rokutan, Hirofumi, Yachida, Shinichi, Kato, Mamoru, Fukagawa, Akihiko, Shibata, Tatsuhiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
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.
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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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