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Multiancestry genomic and transcriptomic analysis of gastric cancer.
Totoki, Yasushi; Saito-Adachi, Mihoko; Shiraishi, Yuichi; Komura, Daisuke; Nakamura, Hiromi; Suzuki, Akihiro; Tatsuno, Kenji; Rokutan, Hirofumi; Hama, Natsuko; Yamamoto, Shogo; Ono, Hanako; Arai, Yasuhito; Hosoda, Fumie; Katoh, Hiroto; Chiba, Kenichi; Iida, Naoko; Nagae, Genta; Ueda, Hiroki; Shihang, Chen; Sekine, Shigeki; Abe, Hiroyuki; Nomura, Sachiyo; Matsuura, Tetsuya; Sakai, Eiji; Ohshima, Takashi; Rino, Yasushi; Yeoh, Khay Guan; So, Jimmy; Sanghvi, Kaushal; Soong, Richie; Fukagawa, Akihiko; Yachida, Shinichi; Kato, Mamoru; Seto, Yasuyuki; Ushiku, Tetsuo; Nakajima, Atsushi; Katai, Hitoshi; Tan, Patrick; Ishikawa, Shumpei; Aburatani, Hiroyuki; Shibata, Tatsuhiro.
Afiliação
  • Totoki Y; Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan.
  • Saito-Adachi M; Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan.
  • Shiraishi Y; Division of Genome Analysis Platform Development, National Cancer Center Research Institute, Tokyo, Japan.
  • Komura D; Department of Preventive Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Nakamura H; Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan.
  • Suzuki A; Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Kanagawa, Japan.
  • Tatsuno K; Genome Science and Medicine Laboratory, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan.
  • Rokutan H; Genome Science and Medicine Laboratory, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan.
  • Hama N; Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Yamamoto S; Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan.
  • Ono H; Genome Science and Medicine Laboratory, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan.
  • Arai Y; Division of Bioinformatics, National Cancer Center Research Institute, Tokyo, Japan.
  • Hosoda F; Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan.
  • Katoh H; Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan.
  • Chiba K; Department of Preventive Medicine, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Iida N; Division of Genome Analysis Platform Development, National Cancer Center Research Institute, Tokyo, Japan.
  • Nagae G; Division of Genome Analysis Platform Development, National Cancer Center Research Institute, Tokyo, Japan.
  • Ueda H; Genome Science and Medicine Laboratory, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan.
  • Shihang C; Biological Data Science, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan.
  • Sekine S; Genome Science and Medicine Laboratory, Research Center for Advanced Science and Technology, The University of Tokyo, Tokyo, Japan.
  • Abe H; Department of Pathology and Clinical Laboratories, National Cancer Center Hospital, Tokyo, Japan.
  • Nomura S; Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Matsuura T; Department of Gastrointestinal Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Sakai E; Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Kanagawa, Japan.
  • Ohshima T; Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Kanagawa, Japan.
  • Rino Y; Department of Gastrointestinal Surgery, Kanagawa Cancer Center, Kanagawa, Japan.
  • Yeoh KG; Department of Surgery, Yokohama City University Graduate School of Medicine, Kanagawa, Japan.
  • So J; Dept of Medicine, National University of Singapore, Singapore, Singapore.
  • Sanghvi K; Dept of Surgery, National University of Singapore, Singapore, Singapore.
  • Soong R; Dept of Surgery, Tan Tock Seng Hospital, Singapore, Singapore.
  • Fukagawa A; Cancer Science Institute of Singapore, National University of Singapore, Singapore, Singapore.
  • Yachida S; Division of Cancer Genomics, National Cancer Center Research Institute, Tokyo, Japan.
  • Kato M; Department of Cancer Genome Informatics, Graduate School of Medicine, Osaka University, Osaka, Japan.
  • Seto Y; Division of Genomic Medicine, National Cancer Center Research Institute, Tokyo, Japan.
  • Ushiku T; Division of Bioinformatics, National Cancer Center Research Institute, Tokyo, Japan.
  • Nakajima A; Department of Gastrointestinal Surgery, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Katai H; Department of Pathology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
  • Tan P; Department of Gastroenterology and Hepatology, Yokohama City University Graduate School of Medicine, Kanagawa, Japan.
  • Ishikawa S; Department of Gastric Surgery, National Cancer Center Hospital, Tokyo, Japan.
  • Aburatani H; Cancer and Stem Cell Biology, Duke-NUS Medical School Singapore, Singapore, Singapore.
  • Shibata T; Epigenomic and Epitranscriptomic Regulation, Genome Institute of Singapore, Singapore, Singapore.
Nat Genet ; 55(4): 581-594, 2023 04.
Article em En | MEDLINE | ID: mdl-36914835
ABSTRACT
Gastric cancer is among the most common malignancies worldwide, characterized by geographical, epidemiological and histological heterogeneity. Here, we report an extensive, multiancestral landscape of driver events in gastric cancer, involving 1,335 cases. Seventy-seven significantly mutated genes (SMGs) were identified, including ARHGAP5 and TRIM49C. We also identified subtype-specific drivers, including PIGR and SOX9, which were enriched in the diffuse subtype of the disease. SMGs also varied according to Epstein-Barr virus infection status and ancestry. Non-protein-truncating CDH1 mutations, which are characterized by in-frame splicing alterations, targeted localized extracellular domains and uniquely occurred in sporadic diffuse-type cases. In patients with gastric cancer with East Asian ancestry, our data suggested a link between alcohol consumption or metabolism and the development of RHOA mutations. Moreover, mutations with potential roles in immune evasion were identified. Overall, these data provide comprehensive insights into the molecular landscape of gastric cancer across various subtypes and ancestries.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Infecções por Vírus Epstein-Barr Idioma: En Ano de publicação: 2023 Tipo de documento: Article
Texto completo
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XML
PubMed Links
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Infecções por Vírus Epstein-Barr Idioma: En Ano de publicação: 2023 Tipo de documento: Article