[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-331344-105":59,"doc-detail-331344-en":131},{"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":124,"head_meta":126,"extra_data":128,"updated_unix":130},105,"en","hcc-spatial-transcriptomic-profiling-reveals-significant-and-potentially-targetable-cancer-endothelial-interactions","HCC spatial transcriptomic profiling reveals significant and potentially targetable cancer-endothelial interactions","","HCC is a highly vascular tumor and effective therapies often target tumor blood vessels, but bulk transcriptomic subtyping mixes parenchymal and stromal signals. Computational deconvolution and cell-cell interaction analyses were applied to cell type-specific spatial transcriptomic data from 41 resected HCC specimens. The study shows that the Hoshida bulk transcriptional subtyping schema is largely driven by an endothelial fraction, proposes an alternative tumor-specific schema with prognostic potential, and maps ligand-receptor signaling relationships between cancer and endothelial cells.",{"@graph":69,"@context":123},[70,84,106],{"@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/hcc-spatial-transcriptomic-profiling-reveals-significant-and-potentially-targetable-cancer-endothelial-interactions/331344/",{"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/hcc-spatial-transcriptomic-profiling-reveals-significant-and-potentially-targetable-cancer-endothelial-interactions/331344.png","ImageObject",300,407,{"name":92,"@type":93},"Riley","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-01","2026-09-21",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",15,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"Why is HCC subtyping challenging when using bulk transcriptomic data?","Question",{"text":113,"@type":114},"Bulk transcriptomes mix parenchymal and stromal contributions, which can obscure cell-type-specific signals related to tumor biology and therapeutic targeting.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"What methods were used to analyze the HCC spatial transcriptomic data?",{"text":118,"@type":114},"The study used computational deconvolution and cell-cell interaction analyses to derive cell type-specific information from spatial transcriptomic data.",{"name":120,"@type":111,"acceptedAnswer":121},"What key biological relationships does the study identify?",{"text":122,"@type":114},"Paired ligand-receptor analyses reveal known and novel signaling relationships between tumor cells and endothelial cells that may drive HCC biology in a subtype-specific and potentially targetable manner.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},331344,1790181752,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":39,"category_name":40,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":140,"language":141,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":142,"faqs":143,"seo_title":144,"seo_description":67,"update_tm":145,"read_time":146,"preview_page_count":4},1374391975076,"https://ap-avatar.wpscdn.com/avatar/14000253ca4ec9f6853?x-image-process=image/resize,m_fixed,w_180,h_180&k=1783305029341752051","DOI: 10.1097/HC9.0000000000000533  \nO R IG INAL ART ICL E  \nHCC spatial transcriptomic profiling reveals significant and potentially targetable cancer-endothelial interactions  \nChenyue Lu1,2,3,4 | Amaya Pankaj1 | Michael Raabe1 | Cole Nawrocki 1 | Ann Liu5 | Nova Xu1 | Bidish K. Patel1 | Matthew J. Emmett 1,4 |  \nAvril K. Coley 1,6 | Cristina R. Ferrone7 | Vikram Deshpande8,9 | Irun Bhan 1, 10 | Yujin Hoshida 11 | David T. Ting 1 | Martin J. Aryee3,4, 12 | Joseph W. Franses 13 1Department of Medicine, Cancer Center, Massachusetts General Hospital, Boston, Massachusetts, USA  \n2Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA 3Department of Data Science, Dana-Farber Cancer Institute, Boston, Massachusetts, USA  \n4Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA  \n5Division of Biology and Biological Engineering, Department of Chemical Engineering, California Institute of Technology, Pasadena, California, USA 6Department of Surgery, Massachusetts General Hospital, Boston, Massachusetts, USA  \n7Department of Surgery, Cedars-Sinai Hospital, Los Angeles, California, USA  \n8Department of Pathology, Massachusetts General Hospital, Boston, Massachusetts, USA 9Department of Pathology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA  \n10Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital Center, Boston, Massachusetts, USA 11Department of Internal Medicine, UT Southwestern Medical Center, Dallas, Texas, USA  \n12Department of Biostatistics, Harvard T. H. Chan School of Public Health, Boston, Massachusetts, USA  \n13Department of Medicine, Section of Hematology-Oncology, Comprehensive Cancer Center, University of Chicago Medicine, Chicago, Illinois, USA  \nCorrespondence  \nJoseph W. Franses, Department of Medicine, Section of Hematology University of Chicago Chicago, IL 60637 .  \nEmail: [joseph.franses@bsd.uchicago.edu](joseph.franses@bsd.uchicago.edu)  \nMartin J. Aryee, Department of Data Science Dana-Farber Cancer Institute Boston, MA 02215.  \n[Email:](Email: martin@ds.dfci.harvard.edu)[ martin@ds.dfci.harvard.edu](Email: martin@ds.dfci.harvard.edu)  \nDavid T. Ting, Division of Hematology-Oncology, Department of Medicine, Massachusetts General Hospital Boston, MA 02114 .  \nEmail: [dting1@mgh.harvard.edu](dting1@mgh.harvard.edu)  \n\n|  | Abstract |  |\n| --- | --- | --- |\n| | Background: HCC is a highly vascular tumor, and many effective drug regimens target the tumor blood vessels. Prior bulk HCC subtyping data used bulk transcriptomes, which contained a mixture of parenchymal and stromal contributions.\u003Cbr>Methods: We utilized computational deconvolution and cell-cell interaction analyses to cell type-specific (tumor-enriched and vessel-enriched) spatial transcriptomic data collected from 41 resected HCC tissue specimens. Results: We report that the prior Hoshida bulk transcriptional subtyping schema is driven largely by an endothelial fraction, show an alternative tumor-specific schema has potential prognostic value, and use spatially |  |\n|  |  |  |\n\nAbbreviations: AOI, area of interest; CTA, Cancer Transcriptome Atlas; EC, endothelial cell; ROI, region of interest; scAtlasLC, single-cell Atlas in Liver Cancer; TCGA, The Cancer Genome Atlas; TEC, tumor-associated endothelial cell; TME, tumor microenvironment.  \nDavid T. Ting, Martin J. Aryee, and Joseph W. Franses contributed equally to this work.  \nSupplemental Digital Content is available for this article. Direct URL citations are provided in the HTML and PDF versions of this article on the journal’s website, www.hepcommjournal.com.  \n-- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- ----- -  \nThis is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND), where it is permissible to download and share the wo","cbCaihYWUrMsVnKv","https://ap.wps.com/l/cbCaihYWUrMsVnKv","pdf",1883141,14,"English","# Abstract\n## Background, Methods, Results\n## Conclusions and Keywords\n# Introduction\n## HCC burden and rising incidence\n## Genomic profiling limits and therapy focus on vasculature\n## Endothelial cell roles in tumor pathophysiology","[{\"question\":\"Why is HCC subtyping challenging when using bulk transcriptomic data?\",\"answer\":\"Bulk transcriptomes mix parenchymal and stromal contributions, which can obscure cell-type-specific signals related to tumor biology and therapeutic targeting.\"},{\"question\":\"What methods were used to analyze the HCC spatial transcriptomic data?\",\"answer\":\"The study used computational deconvolution and cell-cell interaction analyses to derive cell type-specific information from spatial transcriptomic data.\"},{\"question\":\"What key biological relationships does the study identify?\",\"answer\":\"Paired ligand-receptor analyses reveal known and novel signaling relationships between tumor cells and endothelial cells that may drive HCC biology in a subtype-specific and potentially targetable manner.\"}]","HCC spatial transcriptomic profiling reveals significant and potentially targetable cancer-endothelial interactions | PDF",1789992783,35]