Simona O Dima, Andrei Sorop, Shuji Kitahara, Namrata Setia, Mihaela Chivu-Economescu, Lilia Matei, Vlad Herlea, Nicolae C Pechianu, Takenori Inomata, Aya Matsui, Anna Khachatryan, Shuichi Aoki, Gregory Y Lauwers, Irinel Popescu, Dan G Duda
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We hypothesized that integrating immunohistochemistry markers, tumor gene expression profiles, and serum cytokines would define biologically distinct subtypes of gastric cancer and associate with overall survival independently of clinicopathologic factors and provide incremental prognostic value beyond existing classifications. Here, we report a comprehensive study of GC vascular and immune markers associated with tumor microenvironment (TME) based on stage and molecular subtypes, and their correlation with outcomes. Using tissues and blood circulating biomarkers and a molecular classification, we identified tumor archetypes, which show that the TME evolves with the disease stage and is a 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.</p>","PeriodicalId":51185,"journal":{"name":"Surgical Oncology-Oxford","volume":" ","pages":"102298"},"PeriodicalIF":2.4000,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A tumor microenvironment-based classification of gastric cancer for more effective diagnosis and treatment.\",\"authors\":\"Simona O Dima, Andrei Sorop, Shuji Kitahara, Namrata Setia, Mihaela Chivu-Economescu, Lilia Matei, Vlad Herlea, Nicolae C Pechianu, Takenori Inomata, Aya Matsui, Anna Khachatryan, Shuichi Aoki, Gregory Y Lauwers, Irinel Popescu, Dan G Duda\",\"doi\":\"10.1016/j.suronc.2025.102298\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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. We hypothesized that integrating immunohistochemistry markers, tumor gene expression profiles, and serum cytokines would define biologically distinct subtypes of gastric cancer and associate with overall survival independently of clinicopathologic factors and provide incremental prognostic value beyond existing classifications. Here, we report a comprehensive study of GC vascular and immune markers associated with tumor microenvironment (TME) based on stage and molecular subtypes, and their correlation with outcomes. Using tissues and blood circulating biomarkers and a molecular classification, we identified tumor archetypes, which show that the TME evolves with the disease stage and is a 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.</p>\",\"PeriodicalId\":51185,\"journal\":{\"name\":\"Surgical Oncology-Oxford\",\"volume\":\" \",\"pages\":\"102298\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-09-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Surgical Oncology-Oxford\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.suronc.2025.102298\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Surgical Oncology-Oxford","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.suronc.2025.102298","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ONCOLOGY","Score":null,"Total":0}
A tumor microenvironment-based classification of gastric cancer for more effective diagnosis and treatment.
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. We hypothesized that integrating immunohistochemistry markers, tumor gene expression profiles, and serum cytokines would define biologically distinct subtypes of gastric cancer and associate with overall survival independently of clinicopathologic factors and provide incremental prognostic value beyond existing classifications. Here, we report a comprehensive study of GC vascular and immune markers associated with tumor microenvironment (TME) based on stage and molecular subtypes, and their correlation with outcomes. Using tissues and blood circulating biomarkers and a molecular classification, we identified tumor archetypes, which show that the TME evolves with the disease stage and is a 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.
期刊介绍:
Surgical Oncology is a peer reviewed journal publishing review articles that contribute to the advancement of knowledge in surgical oncology and related fields of interest. Articles represent a spectrum of current technology in oncology research as well as those concerning clinical trials, surgical technique, methods of investigation and patient evaluation. Surgical Oncology publishes comprehensive Reviews that examine individual topics in considerable detail, in addition to editorials and commentaries which focus on selected papers. The journal also publishes special issues which explore topics of interest to surgical oncologists in great detail - outlining recent advancements and providing readers with the most up to date information.