{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"bioRxiv"}],"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T17:57:45Z","timestamp":1785434265049,"version":"3.56.0"},"posted":{"date-parts":[[2025,12,3]]},"group-title":"Cancer Biology","reference-count":84,"publisher":"openRxiv","license":[{"start":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T00:00:00Z","timestamp":1764720000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"award":["R35GM150899"],"award-info":[{"award-number":["R35GM150899"]}],"id":[{"id":"https:\/\/ror.org\/001d55x84","id-type":"ROR","asserted-by":"publisher"}]},{"award":["R01AG078794"],"award-info":[{"award-number":["R01AG078794"]}],"id":[{"id":"https:\/\/ror.org\/001d55x84","id-type":"ROR","asserted-by":"publisher"}]},{"award":["DK071801"],"award-info":[{"award-number":["DK071801"]}],"id":[{"id":"https:\/\/ror.org\/001d55x84","id-type":"ROR","asserted-by":"publisher"}]},{"award":["AG052324"],"award-info":[{"award-number":["AG052324"]}],"id":[{"id":"https:\/\/ror.org\/001d55x84","id-type":"ROR","asserted-by":"publisher"}]},{"award":["UL1TR002373"],"award-info":[{"award-number":["UL1TR002373"]}],"id":[{"id":"https:\/\/ror.org\/001d55x84","id-type":"ROR","asserted-by":"publisher"}]},{"award":["P50CA278595"],"award-info":[{"award-number":["P50CA278595"]}],"id":[{"id":"https:\/\/ror.org\/001d55x84","id-type":"ROR","asserted-by":"publisher"}]},{"award":["IRG-19-146-54"],"award-info":[{"award-number":["IRG-19-146-54"]}],"id":[{"id":"https:\/\/ror.org\/02e463172","id-type":"ROR","asserted-by":"publisher"}]},{"award":["RSG-24-1318507-01-ESED"],"award-info":[{"award-number":["RSG-24-1318507-01-ESED"]}],"id":[{"id":"https:\/\/ror.org\/02e463172","id-type":"ROR","asserted-by":"publisher"}]},{"award":["PF-23-1070297-01-TBE"],"award-info":[{"award-number":["PF-23-1070297-01-TBE"]}],"id":[{"id":"https:\/\/ror.org\/02e463172","id-type":"ROR","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2025,12,3]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                <jats:p>Cancer-associated cachexia (CC) is a fatal metabolic condition characterized by progressive loss of fat and muscle mass, yet its early molecular drivers remain poorly defined. Here, we identify a polyamine-dependent tumor-adipose crosstalk that triggers adipocyte lipolysis and fat wasting during the pre-cachexia stage, preceding systemic inflammation and muscle atrophy. Cancer-derived polyamines are enriched in extracellular vesicles and promote lipid mobilization via eIF5A hypusination, independent of adrenergic signaling. In preclinical models, polyamine accumulation associates with early fat loss and elevated circulating fatty acids. Clinically, automated CT imaging of newly diagnosed pancreatic cancer patients reveals increased adipose density, reflecting lipolysis, that correlates with circulating polyamine levels and predicts poor survival. These findings support polyamine metabolism as a mechanistic driver and candidate biomarker of early cachexia, providing a framework for early detection and targeted intervention.<\/jats:p>","DOI":"10.64898\/2025.12.01.691597","type":"posted-content","created":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T12:45:34Z","timestamp":1765197934000},"source":"Crossref","is-referenced-by-count":0,"title":["Tumor-Derived Polyamines Initiate Fat Wasting in Cancer Cachexia"],"prefix":"10.64898","author":[{"given":"Matias","family":"Fabregat","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Rachel J","family":"Fenske","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julia K","family":"Hansen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cameron J.","family":"Kaminsky","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jevin","family":"Lortie","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexander","family":"Nassar","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kayla","family":"Kressin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Annie","family":"Jen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lucia","family":"Cilloni","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katherine","family":"Overmeyer","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Caroline M","family":"Alexander","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John W","family":"Garrett","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Perry J","family":"Pickhardt","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joshua J","family":"Coon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Costas A","family":"Lyssiotis","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marina","family":"Pasca di Magliano","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lingjun","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Adam J","family":"Kuchnia","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9411-7327","authenticated-orcid":false,"given":"Andrea","family":"Galmozzi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"54368","reference":[{"key":"2025120800563014000_2025.12.01.691597v1.1","doi-asserted-by":"publisher","DOI":"10.1038\/nrc3829"},{"key":"2025120800563014000_2025.12.01.691597v1.2","doi-asserted-by":"publisher","DOI":"10.1038\/nrclinonc.2012.209"},{"key":"2025120800563014000_2025.12.01.691597v1.3","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(00)00033-4"},{"key":"2025120800563014000_2025.12.01.691597v1.4","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpainsymman.2006.10.015"},{"key":"2025120800563014000_2025.12.01.691597v1.5","doi-asserted-by":"publisher","DOI":"10.1016\/S0149-2918(05)80001-3"},{"key":"2025120800563014000_2025.12.01.691597v1.6","doi-asserted-by":"publisher","DOI":"10.3892\/or_00000328"},{"key":"2025120800563014000_2025.12.01.691597v1.7","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.20.00611"},{"key":"2025120800563014000_2025.12.01.691597v1.8","doi-asserted-by":"publisher","DOI":"10.1023\/A:1011156811739"},{"key":"2025120800563014000_2025.12.01.691597v1.9","doi-asserted-by":"crossref","first-page":"3299","DOI":"10.1200\/JCO.1999.17.10.3299","article-title":"Randomized comparison of megestrol acetate versus dexamethasone versus fluoxymesterone for the treatment of cancer anorexia\/cachexia","volume":"17","year":"1999","journal-title":"J Clin Oncol"},{"key":"2025120800563014000_2025.12.01.691597v1.10","doi-asserted-by":"publisher","DOI":"10.1016\/j.jpainsymman.2003.09.007"},{"key":"2025120800563014000_2025.12.01.691597v1.11","doi-asserted-by":"crossref","unstructured":"V. Ruiz Garcia , E. Lopez-Briz , R. Carbonell Sanchis , J. L. Gonzalvez Perales , S. Bort-Marti , Megestrol acetate for treatment of anorexia-cachexia syndrome. Cochrane Database Syst Rev, CD004310 (2013).","DOI":"10.1002\/14651858.CD004310.pub3"},{"key":"2025120800563014000_2025.12.01.691597v1.12","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.20.2.567"},{"key":"2025120800563014000_2025.12.01.691597v1.13","doi-asserted-by":"publisher","DOI":"10.1097\/SPC.0b013e3282f4b734"},{"key":"2025120800563014000_2025.12.01.691597v1.14","doi-asserted-by":"publisher","DOI":"10.1002\/hed.20662"},{"key":"2025120800563014000_2025.12.01.691597v1.15","doi-asserted-by":"publisher","DOI":"10.1016\/j.lungcan.2009.06.020"},{"key":"2025120800563014000_2025.12.01.691597v1.16","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmet.2020.10.023"},{"key":"2025120800563014000_2025.12.01.691597v1.17","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(10)70218-7"},{"key":"2025120800563014000_2025.12.01.691597v1.18","doi-asserted-by":"publisher","DOI":"10.1093\/annonc\/mdu086"},{"key":"2025120800563014000_2025.12.01.691597v1.19","doi-asserted-by":"publisher","DOI":"10.1002\/cncr.23802"},{"key":"2025120800563014000_2025.12.01.691597v1.20","doi-asserted-by":"publisher","DOI":"10.1158\/0008-5472.CAN-06-4585"},{"key":"2025120800563014000_2025.12.01.691597v1.21","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1016\/j.semcdb.2015.10.038","article-title":"The central role of hypothalamic inflammation in the acute illness response and cachexia","volume":"54","year":"2016","journal-title":"Semin Cell Dev Biol"},{"key":"2025120800563014000_2025.12.01.691597v1.22","doi-asserted-by":"publisher","DOI":"10.1038\/nature13528"},{"key":"2025120800563014000_2025.12.01.691597v1.23","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmet.2014.06.011"},{"key":"2025120800563014000_2025.12.01.691597v1.24","doi-asserted-by":"crossref","first-page":"4727","DOI":"10.1096\/fj.201701465RR","article-title":"The tumor secretory factor ZAG promotes white adipose tissue browning and energy wasting","volume":"32","year":"2018","journal-title":"FASEB J"},{"key":"2025120800563014000_2025.12.01.691597v1.25","doi-asserted-by":"publisher","DOI":"10.1126\/science.1198973"},{"key":"2025120800563014000_2025.12.01.691597v1.26","doi-asserted-by":"publisher","DOI":"10.1002\/cncr.21013"},{"key":"2025120800563014000_2025.12.01.691597v1.27","unstructured":"https:\/\/sites.broadinstitute.org\/ccle."},{"key":"2025120800563014000_2025.12.01.691597v1.28","doi-asserted-by":"publisher","DOI":"10.1038\/s41586-019-1186-3"},{"key":"2025120800563014000_2025.12.01.691597v1.29","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-019-0404-8"},{"key":"2025120800563014000_2025.12.01.691597v1.30","doi-asserted-by":"publisher","DOI":"10.1016\/j.biocel.2009.07.009"},{"key":"2025120800563014000_2025.12.01.691597v1.31","doi-asserted-by":"publisher","DOI":"10.1016\/j.canlet.2021.06.020"},{"key":"2025120800563014000_2025.12.01.691597v1.32","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1186\/s12935-020-01545-9","article-title":"Polyamines and related signaling pathways in cancer","volume":"20","year":"2020","journal-title":"Cancer Cell Int"},{"key":"2025120800563014000_2025.12.01.691597v1.33","doi-asserted-by":"publisher","DOI":"10.1007\/s00726-007-0531-2"},{"key":"2025120800563014000_2025.12.01.691597v1.34","doi-asserted-by":"crossref","unstructured":"S. P. Nakkina et al., Differential Expression of Polyamine Pathways in Human Pancreatic Tumor Progression and Effects of Polyamine Blockade on Tumor Microenvironment. Cancers (Basel) 13, (2021).","DOI":"10.3390\/cancers13246391"},{"key":"2025120800563014000_2025.12.01.691597v1.35","doi-asserted-by":"crossref","first-page":"327","DOI":"10.1038\/s42255-022-00544-6","article-title":"Angiocrine polyamine production regulates adiposity","volume":"4","year":"2022","journal-title":"Nat Metab"},{"key":"2025120800563014000_2025.12.01.691597v1.36","doi-asserted-by":"publisher","DOI":"10.1074\/jbc.TM118.003341"},{"key":"2025120800563014000_2025.12.01.691597v1.37","doi-asserted-by":"publisher","DOI":"10.1002\/1097-0142(197502)35:2<464::AID-CNCR2820350225>3.0.CO;2-8"},{"key":"2025120800563014000_2025.12.01.691597v1.38","doi-asserted-by":"crossref","unstructured":"Y. Asai et al., Elevated Polyamines in Saliva of Pancreatic Cancer. Cancers (Basel) 10, (2018).","DOI":"10.3390\/cancers10020043"},{"key":"2025120800563014000_2025.12.01.691597v1.39","doi-asserted-by":"publisher","DOI":"10.1097\/00006676-199003000-00001"},{"key":"2025120800563014000_2025.12.01.691597v1.40","doi-asserted-by":"crossref","unstructured":"B. C. DeFelice et al., Polyamine Metabolites as Biomarkers in Head and Neck Cancer Biofluids. Diagnostics (Basel) 12, (2022).","DOI":"10.3390\/diagnostics12040797"},{"key":"2025120800563014000_2025.12.01.691597v1.41","first-page":"630","article-title":"Machine learning to identify precachexia and cachexia: a multicenter, retrospective cohort study","volume":"32","year":"2024","journal-title":"Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer"},{"key":"2025120800563014000_2025.12.01.691597v1.42","first-page":"2070","article-title":"Cancer cachexia: biomarkers and the influence of age","volume":"18","year":"2024","journal-title":"Mol Oncol"},{"key":"2025120800563014000_2025.12.01.691597v1.43","doi-asserted-by":"crossref","first-page":"e240291","DOI":"10.1148\/rycan.240291","article-title":"Imaging Cancer-associated Cachexia: Utilizing Clinical Imaging Modalities for Early Diagnosis","volume":"7","year":"2025","journal-title":"Radiol Imaging Cancer"},{"key":"2025120800563014000_2025.12.01.691597v1.44","doi-asserted-by":"publisher","DOI":"10.2147\/CMAR.S261585"},{"key":"2025120800563014000_2025.12.01.691597v1.45","doi-asserted-by":"publisher","DOI":"10.1139\/H08-075"},{"key":"2025120800563014000_2025.12.01.691597v1.46","doi-asserted-by":"crossref","first-page":"386","DOI":"10.1186\/s13054-016-1563-3","article-title":"Skeletal muscle quality as assessed by CT-derived skeletal muscle density is associated with 6-month mortality in mechanically ventilated critically ill patients","volume":"20","year":"2016","journal-title":"Crit Care"},{"key":"2025120800563014000_2025.12.01.691597v1.47","doi-asserted-by":"crossref","first-page":"377","DOI":"10.1016\/j.surg.2017.03.014","article-title":"Computed tomography measured psoas density predicts outcomes in trauma","volume":"162","year":"2017","journal-title":"Surgery"},{"key":"2025120800563014000_2025.12.01.691597v1.48","doi-asserted-by":"crossref","first-page":"2921","DOI":"10.1007\/s00261-019-02014-2","article-title":"Automated segmentation and quantification of aortic calcification at abdominal CT: application of a deep learning-based algorithm to a longitudinal screening cohort","volume":"44","year":"2019","journal-title":"Abdom Radiol (NY)"},{"key":"2025120800563014000_2025.12.01.691597v1.49","doi-asserted-by":"crossref","first-page":"334","DOI":"10.1148\/radiol.2019190512","article-title":"Automated Liver Fat Quantification at Nonenhanced Abdominal CT for Population-based Steatosis Assessment","volume":"293","year":"2019","journal-title":"Radiology"},{"key":"2025120800563014000_2025.12.01.691597v1.50","doi-asserted-by":"publisher","DOI":"10.1002\/jbmr.428"},{"key":"2025120800563014000_2025.12.01.691597v1.51","first-page":"20170968","article-title":"Fully automated segmentation and quantification of visceral and subcutaneous fat at abdominal CT: application to a longitudinal adult screening cohort","volume":"91","year":"2018","journal-title":"Br J Radiol"},{"key":"2025120800563014000_2025.12.01.691597v1.52","doi-asserted-by":"crossref","unstructured":"J. W. Garrett , P. J. Pickhardt , R. M. Summers , Methodology for a fully automated pipeline of AI-based body composition tools for abdominal CT. Abdom Radiol (NY), (2025).","DOI":"10.1007\/s00261-025-04951-7"},{"key":"2025120800563014000_2025.12.01.691597v1.53","doi-asserted-by":"crossref","first-page":"100495","DOI":"10.1016\/j.jhepr.2022.100495","article-title":"Higher subcutaneous adipose tissue radiodensity is associated with increased mortality in patients with cirrhosis","volume":"4","year":"2022","journal-title":"JHEP Rep"},{"key":"2025120800563014000_2025.12.01.691597v1.54","doi-asserted-by":"publisher","DOI":"10.1007\/s13539-011-0030-x"},{"key":"2025120800563014000_2025.12.01.691597v1.55","doi-asserted-by":"crossref","unstructured":"L. Patzelt et al., MRI-Determined Psoas Muscle Fat Infiltration Correlates with Severity of Weight Loss during Cancer Cachexia. Cancers (Basel) 13, (2021).","DOI":"10.3390\/cancers13174433"},{"key":"2025120800563014000_2025.12.01.691597v1.56","doi-asserted-by":"publisher","DOI":"10.1002\/jcsm.12232"},{"key":"2025120800563014000_2025.12.01.691597v1.57","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(10)60408-4"},{"key":"2025120800563014000_2025.12.01.691597v1.58","doi-asserted-by":"crossref","unstructured":"N. Mir , S. A. Chin , M. C. Riddell , J. L. Beaudry , Genomic and Non-Genomic Actions of Glucocorticoids on Adipose Tissue Lipid Metabolism. Int J Mol Sci 22, (2021).","DOI":"10.3390\/ijms22168503"},{"key":"2025120800563014000_2025.12.01.691597v1.59","doi-asserted-by":"publisher","DOI":"10.1038\/320584a0"},{"key":"2025120800563014000_2025.12.01.691597v1.60","doi-asserted-by":"crossref","first-page":"6641","DOI":"10.1113\/JP287733","article-title":"Interleukin-1beta signalling in muscle atrophy: linking inflammation, sex-specific responses and exercise in cancer cachexia","volume":"602","year":"2024","journal-title":"J Physiol"},{"key":"2025120800563014000_2025.12.01.691597v1.61","doi-asserted-by":"publisher","DOI":"10.1074\/jbc.M110355200"},{"key":"2025120800563014000_2025.12.01.691597v1.62","doi-asserted-by":"publisher","DOI":"10.1126\/science.1123965"},{"key":"2025120800563014000_2025.12.01.691597v1.63","doi-asserted-by":"crossref","first-page":"e1009896","DOI":"10.1371\/journal.pgen.1009896","article-title":"Generation and characterization of Ccdc28b mutant mice links the Bardet-Biedl associated gene with mild social behavioral phenotypes","volume":"18","year":"2022","journal-title":"PLoS Genet"},{"key":"2025120800563014000_2025.12.01.691597v1.64","doi-asserted-by":"publisher","DOI":"10.1158\/1538-7445.AM2013-4909"},{"key":"2025120800563014000_2025.12.01.691597v1.65","doi-asserted-by":"crossref","unstructured":"A. Galmozzi , B. P. Kok , E. Saez , Isolation and Differentiation of Primary White and Brown Preadipocytes from Newborn Mice. J Vis Exp, (2021).","DOI":"10.3791\/62005-v"},{"key":"2025120800563014000_2025.12.01.691597v1.66","doi-asserted-by":"publisher","DOI":"10.1172\/JCI38924"},{"key":"2025120800563014000_2025.12.01.691597v1.67","doi-asserted-by":"crossref","first-page":"1432","DOI":"10.1038\/s41467-025-56741-w","article-title":"Biological age model using explainable automated CT-based cardiometabolic biomarkers for phenotypic prediction of longevity","volume":"16","year":"2025","journal-title":"Nat Commun"},{"key":"2025120800563014000_2025.12.01.691597v1.68","doi-asserted-by":"crossref","first-page":"124","DOI":"10.2214\/AJR.21.26486","article-title":"Fully Automated Deep Learning Tool for Sarcopenia Assessment on CT: L1 Versus L3 Vertebral Level Muscle Measurements for Opportunistic Prediction of Adverse Clinical Outcomes","volume":"218","year":"2022","journal-title":"AJR Am J Roentgenol"},{"key":"2025120800563014000_2025.12.01.691597v1.69","doi-asserted-by":"crossref","first-page":"1491","DOI":"10.1016\/j.acra.2020.08.022","article-title":"Atherosclerotic Plaque Burden on Abdominal CT: Automated Assessment With Deep Learning on Noncontrast and Contrast-enhanced Scans","volume":"28","year":"2021","journal-title":"Acad Radiol"},{"key":"2025120800563014000_2025.12.01.691597v1.70","doi-asserted-by":"crossref","first-page":"1229","DOI":"10.1007\/s00261-020-02755-5","article-title":"Fully automated CT imaging biomarkers of bone, muscle, and fat: correcting for the effect of intravenous contrast","volume":"46","year":"2021","journal-title":"Abdom Radiol (NY)"},{"key":"2025120800563014000_2025.12.01.691597v1.71","doi-asserted-by":"crossref","first-page":"2976","DOI":"10.1007\/s00261-020-02885-w","article-title":"Automated assessment of longitudinal biomarker changes at abdominal CT: correlation with subsequent cardiovascular events in an asymptomatic adult screening cohort","volume":"46","year":"2021","journal-title":"Abdom Radiol (NY)"},{"key":"2025120800563014000_2025.12.01.691597v1.72","doi-asserted-by":"crossref","unstructured":"B. D. Pooler , J. W. Garrett , A. M. Southard , R. M. Summers , P. J. Pickhardt , Technical Adequacy of Fully Automated Artificial Intelligence Body Composition Tools: Assessment in a Heterogeneous Sample of External CT Examinations. AJR Am J Roentgenol, 1\u20139 (2023).","DOI":"10.2214\/AJR.22.28745"},{"key":"2025120800563014000_2025.12.01.691597v1.73","doi-asserted-by":"crossref","first-page":"117176","DOI":"10.1016\/j.bone.2024.117176","article-title":"AI-based opportunistic quantitative image analysis of lung cancer screening CTs to reduce disparities in osteoporosis screening","volume":"186","year":"2024","journal-title":"Bone"},{"key":"2025120800563014000_2025.12.01.691597v1.74","doi-asserted-by":"crossref","first-page":"e220042","DOI":"10.1148\/ryai.220042","article-title":"Improved CT-based Osteoporosis Assessment with a Fully Automated Deep Learning Tool","volume":"4","year":"2022","journal-title":"Radiol Artif Intell"},{"key":"2025120800563014000_2025.12.01.691597v1.75","doi-asserted-by":"crossref","first-page":"20180726","DOI":"10.1259\/bjr.20180726","article-title":"Population-based opportunistic osteoporosis screening: Validation of a fully automated CT tool for assessing longitudinal BMD changes","volume":"92","year":"2019","journal-title":"Br J Radiol"},{"key":"2025120800563014000_2025.12.01.691597v1.76","doi-asserted-by":"crossref","first-page":"64","DOI":"10.1148\/radiol.2020200466","article-title":"Automated Abdominal CT Imaging Biomarkers for Opportunistic Prediction of Future Major Osteoporotic Fractures in Asymptomatic Adults","volume":"297","year":"2020","journal-title":"Radiology"},{"key":"2025120800563014000_2025.12.01.691597v1.77","doi-asserted-by":"crossref","first-page":"20190327","DOI":"10.1259\/bjr.20190327","article-title":"Deep learning-based muscle segmentation and quantification at abdominal CT: application to a longitudinal adult screening cohort for sarcopenia assessment","volume":"92","year":"2019","journal-title":"Br J Radiol"},{"key":"2025120800563014000_2025.12.01.691597v1.78","doi-asserted-by":"publisher","DOI":"10.1016\/j.acra.2019.03.011"},{"key":"2025120800563014000_2025.12.01.691597v1.79","doi-asserted-by":"crossref","unstructured":"K. Yan et al., Deep Lesion Graphs in the Wild: Relationship Learning and Organization of Significant Radiology Image Findings in a Diverse Large-scale Lesion Database. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 9261-9270 (2018).","DOI":"10.1109\/CVPR.2018.00965"},{"key":"2025120800563014000_2025.12.01.691597v1.80","doi-asserted-by":"crossref","unstructured":"K. Yan , L. Lu , R. M. Summers , Unsupervised body part regression via spatially self-ordering convolutional neural networks. 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018), 1022-1025 (2018).","DOI":"10.1109\/ISBI.2018.8363745"},{"key":"2025120800563014000_2025.12.01.691597v1.81","doi-asserted-by":"crossref","first-page":"e210268","DOI":"10.1148\/ryai.210268","article-title":"Fully Automated and Explainable Liver Segmental Volume Ratio and Spleen Segmentation at CT for Diagnosing Cirrhosis","volume":"4","year":"2022","journal-title":"Radiol Artif Intell"},{"key":"2025120800563014000_2025.12.01.691597v1.82","doi-asserted-by":"crossref","first-page":"e2432216","DOI":"10.2214\/AJR.24.32216","article-title":"CT-Based Body Composition Measures and Systemic Disease: A Population-Level Analysis Using Artificial Intelligence Tools in Over 100,000 Patients","volume":"224","year":"2025","journal-title":"AJR Am J Roentgenol"},{"key":"2025120800563014000_2025.12.01.691597v1.83","doi-asserted-by":"crossref","unstructured":"I. Samarra et al., Gender-Related Differences on Polyamine Metabolome in Liquid Biopsies by a Simple and Sensitive Two-Step Liquid-Liquid Extraction and LC-MS\/MS. Biomolecules 9, (2019).","DOI":"10.3390\/biom9120779"},{"key":"2025120800563014000_2025.12.01.691597v1.84","doi-asserted-by":"publisher","DOI":"10.1021\/acs.jproteome.9b00640"}],"container-title":[],"original-title":[],"link":[{"URL":"https:\/\/syndication.highwire.org\/content\/doi\/10.64898\/2025.12.01.691597","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,8]],"date-time":"2025-12-08T12:45:41Z","timestamp":1765197941000},"score":1,"resource":{"primary":{"URL":"http:\/\/biorxiv.org\/lookup\/doi\/10.64898\/2025.12.01.691597"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,12,3]]},"references-count":84,"URL":"https:\/\/doi.org\/10.64898\/2025.12.01.691597","relation":{},"subject":[],"published":{"date-parts":[[2025,12,3]]},"subtype":"preprint"}}