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Longitudinal computed tomography from 4,516 patients quantified changes in muscle, adipose, and organs during cachexia. Unsupervised analysis in two independent cohorts identified three reproducible anatomical subtypes, including inflammatory Type A, visceral-dominant Type B, and mild Type C. These subtypes matched distinct serological patterns and molecular tumor and non-cancerous liver phenotypes, linking whole-body remodeling to systemic and tissue-level biology and enabling subtype-specific anticachexia strategies.",{"@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/anatomical-dynamics-define-cancer-cachexia-subtypes-and-identify-systemic-inflammation-as-a-marker-of-lethal-wasting/351690/",{"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/anatomical-dynamics-define-cancer-cachexia-subtypes-and-identify-systemic-inflammation-as-a-marker-of-lethal-wasting/351690.png","ImageObject",300,407,{"name":92,"@type":93},"Cart","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-09-25","2026-09-22",true,{"@type":102,"interactionType":103,"userInteractionCount":81},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the main research goal of the study on cancer cachexia?","Question",{"text":112,"@type":113},"To determine how cachexia remodeling evolves across tissues, whether it defines distinct disease states, and how these states relate to underlying biology.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How were cachexia subtypes identified in the study?",{"text":117,"@type":113},"Longitudinal computed tomography from 4,516 patients was analyzed using unsupervised methods across two independent institutional cohorts to identify reproducible anatomical subtypes.",{"name":119,"@type":110,"acceptedAnswer":120},"What are the three anatomical cachexia subtypes reported?",{"text":121,"@type":113},"Type A is inflammatory with progressive hepatosplenic enlargement and worse survival, Type B is dominated by visceral organ atrophy, and Type C is mild.","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},351690,1790211665,{"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":81,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":139,"language":140,"language_code":63,"site_id":62,"html_lang":63,"table_of_contents":141,"faqs":142,"seo_title":143,"seo_description":67,"update_tm":144,"read_time":145},18829141979164,"https://eur-avatar.wpscdn.com/davatar_6f874abed73319feea01a86fa6f0fab8","medRxiv preprint doi: [https://doi.org/10.64898/2026.05.04.26352250](https://doi.org/10.64898/2026.05.04.26352250); this version posted May 5, 2026. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.  \nIt is made available under a CC-BY-NC-ND 4.0 International license .  \nAnatomical dynamics define cancer cachexia subtypes and identify systemic inflammation as a marker of lethal wasting  \nSonia Boscenco1,2 , Venise Jan Castillon1 , Jamie Wang1,2 , Ethan Tse1,2 , Samuel S. Freeman1 , Ziad Bakouny1 , Saksham Mohan 1 , X. Alex Guo 1 , River Walser1 , Junmin Song3 , Constantinos P. Zambirinis4,5 , Linda Bojmar4 , Ritesh R. Kotecha6 , Marc Hilmi7 , Michael S. May3 , Gerardo A. Vitiello8 , Tobias Janowitz8,9 , Marcus D. Goncalves 10 , Natalie Gangai 11 , David Lyden7,12 , Adrianna Z. Herskovits13 , Puneeth Iyengar14,15 , William R. Jarnigan7,16 , Robert E. Schwartz 17,18 , Ramon Sosa11 , Justin Jee 1 , Eileen M. O’Reilly3,7 , Nikolaus Schultz 1 , Sohrab P. Shah 1 , Wungki Park3,7 , John W. Garrett19,*, Perry J. Pickhardt19,*, Nathaniel C. Swinburne 11,*, Ed Reznik 1,*  \n1Computational Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA 2 Department of Physiology, Biophysics, and Systems Biology, Weill Cornell Medicine, New York, NY, USA  \n3Gastrointestinal Oncology Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA  \n4 Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden 5 Department of Surgery in Linköping, Linköping University Hospital, Linköping, Sweden 6 Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA 7 David M. Rubenstein Center for Pancreatic Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA  \n8 Northwell Health Cancer Institute, Northwell Health, New Hyde Park, NY  \n9Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA  \n10 Holman Division of Endocrinology, Diabetes & Metabolism, Department of Medicine and Radiation Oncology, NYU Langone Health, New York, NY  \n11 Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, NY, USA 12 Departments of Pediatrics and Cell and Developmental Biology, Children’s Cancer and Blood Foundation Laboratories, Drukier Institute for Children’s Health, Meyer Cancer Center Weill Cornell Medicine, New York, NY, USA  \n13 Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, USA  \n14 Department of Radiation Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA  \n1  \nNOTE: This preprint reports new research that has not been certified by peer review and should not be used to guide clinical practice.  \nmedRxiv preprint doi: [https://doi.org/10.64898/2026.05.04.26352250](https://doi.org/10.64898/2026.05.04.26352250); this version posted May 5, 2026. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity.  \nIt is made available under a CC-BY-NC-ND 4.0 International license .  \n15 Druckenmiller Center of Lung Cancer Research, Memorial Sloan Kettering Cancer Center, New York, NY, USA  \n16 Hepatopancreatobiliary Service, Department of Surgery, Memorial Sloan Kettering Cancer Center, New York, NY, USA  \n17 Division of Gastroenterology & Hepatology, Weill Cornell Medicine, New York, NY, USA 18 Department of Biomedical Engineering, Cornell University, Ithaca, NY, USA  \n19 Department of Radiology, Medical Physics, and Biostatistics and Medical Informatics, School of Medicine and Public Health University of Wisconsin–Madison, Madison, WI, USA  \nTo whom correspondence should be addressed: [reznike@mskcc.org](reznike@mskcc.org) (ER), [swinburn@mskcc.org](swinburn@mskcc.org)  \n(NCS), [ppickhardt2@uwhealth.org](ppickhardt2@uwhealth.org) (PJP), [jga","cbCairxclyMuhJmj","https://ap.wps.com/l/cbCairxclyMuhJmj","pdf",22877943,32,"English","# Abstract\n# Introduction\n# Cancer cachexia anatomical remodeling\n## Longitudinal imaging and cohort analysis\n## Anatomical subtype identification\n## Serological and molecular signatures","[{\"question\":\"What is the main research goal of the study on cancer cachexia?\",\"answer\":\"To determine how cachexia remodeling evolves across tissues, whether it defines distinct disease states, and how these states relate to underlying biology.\"},{\"question\":\"How were cachexia subtypes identified in the study?\",\"answer\":\"Longitudinal computed tomography from 4,516 patients was analyzed using unsupervised methods across two independent institutional cohorts to identify reproducible anatomical subtypes.\"},{\"question\":\"What are the three anatomical cachexia subtypes reported?\",\"answer\":\"Type A is inflammatory with progressive hepatosplenic enlargement and worse survival, Type B is dominated by visceral organ atrophy, and Type C is mild.\"}]","Anatomical dynamics define cancer cachexia subtypes and identify systemic inflammation as a marker of lethal wasting | PDF",1790095352,81]