キタハラ シユウジ
Kitahara Shiyuuji
北原 秀治 所属 医学研究科 医学研究科 (医学部医学科をご参照ください) 職種 特任准教授 |
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論文種別 | その他 |
言語種別 | 英語 |
査読の有無 | 査読なし |
表題 | A tumor microenvironment-based classification of gastric cancer for more effective diagnosis and treatment. |
掲載誌名 | 正式名:Research square 略 称:Res Sq ISSNコード:26935015/26935015 |
掲載区分 | 国外 |
巻・号・頁 | pp.0-0 |
国際共著 | 国際共著 |
著者・共著者 | Duda Dan, Dima Simona, Sorop Andrei, Kitahara Shuji, Setia Namrata, Chivu-Economescu Mihaela, Matei Lilia, Herlea Vlad, Pechianu Nicolae, Inomata Takenori, Matsui Aya, Khachatryan Anna, Aoki Shuichi, Lauwers Gregory, Popescu Irinel |
発行年月 | 2023/08 |
概要 | With approximately one million diagnosed cases and over 700,000 deaths recorded annually, gastric cancer (GC) is the third most common cause of cancer-related deaths worldwide. GC is a heterogeneous tumor. Thus, optimal management requires biomarkers of prognosis, treatment selection, and treatment response. The Cancer Genome Atlas program sub-classified GC into molecular subtypes, providing a framework for treatment personalization using traditional chemotherapies or biologics. Here, we report a comprehensive study of GC vascular and immune tumor microenvironment (TME)-based on stage and molecular subtypes of the disease and their correlation with outcomes. Using tissues and blood circulating biomarkers and a molecular classification, we identified cancer cell and tumor archetypes, which show that the TME evolves with the disease stage and is a major determinant of prognosis. Moreover, our TME-based subtyping strategy allowed the identification of archetype-specific prognostic biomarkers such as CDH1-mutant GC and circulating IL-6 that provided information beyond and independent of TMN staging, MSI status, and consensus molecular subtyping. The results show that integrating molecular subtyping with TME-specific biomarkers could contribute to improved patient prognostication and may provide a basis for treatment stratification, including for contemporary anti-angiogenesis and immunotherapy approaches. |
DOI | 10.21203/rs.3.rs-3089359/v1 |
PMID | 37577519 |