[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-333887-105":59,"doc-detail-333887-en":130},{"code":4,"msg":5,"data":6},0,"success",[7,13,18,23,28,33,38,43,48,51,55],{"id":8,"doc_module":4,"doc_module_name":9,"category_name":10,"show_sort_weight":11,"slug":12},1,"Document","Story & Novel",90,"story-novel",{"id":14,"doc_module":4,"doc_module_name":9,"category_name":15,"show_sort_weight":16,"slug":17},2,"Literature",80,"literature",{"id":19,"doc_module":4,"doc_module_name":9,"category_name":20,"show_sort_weight":21,"slug":22},4,"Exam",70,"exam",{"id":24,"doc_module":4,"doc_module_name":9,"category_name":25,"show_sort_weight":26,"slug":27},5,"Comic",60,"comic",{"id":29,"doc_module":4,"doc_module_name":9,"category_name":30,"show_sort_weight":31,"slug":32},6,"Technology",50,"technology",{"id":34,"doc_module":4,"doc_module_name":9,"category_name":35,"show_sort_weight":36,"slug":37},7,"Healthcare",40,"healthcare",{"id":39,"doc_module":4,"doc_module_name":9,"category_name":40,"show_sort_weight":41,"slug":42},8,"Research & Report",30,"research-report",{"id":44,"doc_module":4,"doc_module_name":9,"category_name":45,"show_sort_weight":46,"slug":47},9,"Religion & Spirituality",20,"religion-spirituality",{"id":46,"doc_module":4,"doc_module_name":9,"category_name":49,"show_sort_weight":46,"slug":50},"World Cup","world-cup",{"id":52,"doc_module":4,"doc_module_name":9,"category_name":53,"show_sort_weight":52,"slug":54},10,"Lifestyle","lifestyle",{"id":56,"doc_module":4,"doc_module_name":9,"category_name":57,"show_sort_weight":24,"slug":58},19,"General","general",{"code":4,"msg":60,"data":61},"ok",{"site_id":62,"language":63,"slug":64,"title":65,"keywords":66,"description":67,"schema_data":68,"social_meta":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","spatial-omics-technologies-for-understanding-molecular-status-associated-with-cancer-progression","Spatial omics technologies for understanding molecular status associated with cancer progression","","Cancer cells in the tumor microenvironment experience extensive extrinsic stimulation, driving adaptive expression changes that enable progression through stressed tissue niches. Spatial omics advancements have significantly accelerated cancer genomics research, particularly within spatial transcriptomics that rapidly evolved to single-cell and subcellular resolutions. The review outlines spatial analytical technologies and key studies showing how spatial transcriptome data capture molecular features not only in cancer cells but also surrounding stromal and immune populations, including tumor infiltrating immune cells and cancer-associated fibroblasts, improving insights into intratumor heterogeneity, therapeutic resistance, and patient stratification.",{"@graph":69,"@context":122},[70,84,105],{"@type":71,"itemListElement":72},"BreadcrumbList",[73,77,79,82],{"item":74,"name":75,"@type":76,"position":8},"https://docshare.wps.com","Home","ListItem",{"item":78,"name":9,"@type":76,"position":14},"https://docshare.wps.com/document/",{"item":80,"name":40,"@type":76,"position":81},"https://docshare.wps.com/document/research-report/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/spatial-omics-technologies-for-understanding-molecular-status-associated-with-cancer-progression/333887/",{"url":83,"name":65,"@type":85,"image":86,"author":91,"headline":65,"publisher":94,"fileFormat":97,"inLanguage":63,"description":67,"dateModified":98,"datePublished":99,"encodingFormat":97,"isAccessibleForFree":100,"interactionStatistic":101},"DigitalDocument",{"url":87,"@type":88,"width":89,"height":90},"https://docshare.wps.com/thumbnails/spatial-omics-technologies-for-understanding-molecular-status-associated-with-cancer-progression/333887.png","ImageObject",300,407,{"name":92,"@type":93},"Miles","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-05","2026-09-21",true,{"@type":102,"interactionType":103,"userInteractionCount":44},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the core purpose of spatial omics analysis in cancer research?","Question",{"text":112,"@type":113},"Spatial omics profiling provides a comprehensive molecular view of the tumor microenvironment by preserving tissue histopathology and spatial relationships, avoiding information loss from dissociation.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How do spatial transcriptome technologies differ from conventional single-cell approaches?",{"text":117,"@type":113},"They measure mRNA expression while retaining histopathological characteristics, enabling mapping of molecular states to specific tissue regions rather than losing location during cell separation.",{"name":119,"@type":110,"acceptedAnswer":120},"Which cell types can spatial transcriptome analyses characterize in tumors?",{"text":121,"@type":113},"Spatial transcriptome analyses characterize molecular features in both cancer cells and surrounding cells, including tumor-infiltrating immune cells and cancer-associated fibroblasts.","https://schema.org",{"og:url":83,"og:type":124,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":126,"canonical":83},"index,follow",{"doc_id":128,"site_id":62},333887,1790912397,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":44,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":52,"language":139,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":67,"update_tm":143,"read_time":144,"preview_page_count":4},13056703019404,"https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","DOI: 10. 1111/cas.16283  \nR E V I E W A RT I C L E  \nSpatial omics technologies for understanding molecular status associated with cancer progression  \nSatoi Nagasawa | Junko Zenkoh | Yutaka Suzuki | Ayako Suzuki   \nDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan  \nCorrespondence  \nAyako Suzuki, Department of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, 5-1-5 Kashiwanoha, Kashiwa, Chiba 277-8561, Japan.  \nEmail: [asuzuki@edu.k.u-tokyo.ac.jp](asuzuki@edu.k.u-tokyo.ac.jp)  \nFunding information  \nJapan Society for the Promotion of Science, Grant/Award Number:  \n22H04925; Japan Agency for Medical Research and Development, Grant/Award Number: JP23ama221522  \nAbstract  \nCancer cells are generally exposed to numerous extrinsic stimulations in the tumor microenvironment. In this environment, cancer cells change their expression profiles to fight against circumstantial stresses, allowing their progression in the challenging tissue space. Technological advancements of spatial omics have had substantial influence on cancer genomics. This technical progress, especially that occurring in the spatial transcriptome, has been drastic and rapid. Here, we describe the latest spatial analytical technologies that have allowed omics feature characterization to retain their spatial and histopathological information in cancer tissues. Several spatial omics platforms have been launched, and the latest platforms finally attained single-cell level or even higher subcellular level resolution. We discuss several key papers elucidating the initial utility of the spatial analysis. In fact, spatial transcriptome analyses reveal comprehensive omics characteristics not only in cancer cells but also their surrounding cells, such as tumor infiltrating immune cells and cancer-associated fibroblasts. We also introduce several spatial omics platforms. We describe our own attempts to investigate molecular events associated with cancer progression. Furthermore, we discuss the next challenges in analyzing the multiomics status of cells, including their morphology and location. These novel technologies, in conjunction with spatial transcriptome analysis and, more importantly, with histopathology, will elucidate even novel key aspects of the intratumor heterogeneity of cancers. Such enhanced knowledge is expected to open a new path for overcoming therapeutic resistance and eventually to precisely stratify patients.  \nK E Y WO R D S  \ncancer progression, multiomics, single-cell resolution, spatial transcriptome, tumor microenvironment  \n1 | INTRODUCTION  \nTechnological developments have been expeditiously progressing for spatial omics analyses.1,2 Unlike conventional single-cell  \ntechnologies, mRNA expression profiles of cells are obtained while retaining the histopathological characteristics of the tissue. Hence, understanding the diverse behaviors of cancer cells should bethe key step towards elucidating the molecular basis for different  \nThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.  \n© 2024 The Author(s) . Cancer Science published by John Wiley & Sons Australia, Ltd on behalf of Japanese Cancer Association.  \nphonotypes. Growing evidence has indicated that the diverse gene expression status of cancer cells, in addition to their genomic mutations, should provide a molecular base for such diversity, although their details remain elusive. Generally, cancer cells are supposed to obtain a new ability for survival and fit to the environment, enabling their further proliferation, invasion, and acquired resistance to attacks, through epigenomic and transcriptomic changes. 3,4 Such changes are also supposed to be realized","cbCailCc8VjNGjLL","https://ap.wps.com/l/cbCailCc8VjNGjLL","pdf",3394561,"English","# Introduction\n## Rapid development of spatial transcriptome platforms","[{\"question\":\"What is the core purpose of spatial omics analysis in cancer research?\",\"answer\":\"Spatial omics profiling provides a comprehensive molecular view of the tumor microenvironment by preserving tissue histopathology and spatial relationships, avoiding information loss from dissociation.\"},{\"question\":\"How do spatial transcriptome technologies differ from conventional single-cell approaches?\",\"answer\":\"They measure mRNA expression while retaining histopathological characteristics, enabling mapping of molecular states to specific tissue regions rather than losing location during cell separation.\"},{\"question\":\"Which cell types can spatial transcriptome analyses characterize in tumors?\",\"answer\":\"Spatial transcriptome analyses characterize molecular features in both cancer cells and surrounding cells, including tumor-infiltrating immune cells and cancer-associated fibroblasts.\"}]","Spatial omics technologies for understanding molecular status associated with cancer progression | PDF",1790004460,25]