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Stromal-derived extracellular matrix (ECM) is altered in desmoplasia, shaping cancer progression. Using fibroblast-derived matrices (FDMs), the study shows increased cancer-cell growth on cancer-associated FDMs versus matrices from non-malignant fibroblasts. Compositional, structural, and mechanical analyses reveal higher abundance of core ECM proteins with increased stiffness and density in cancer-associated FDMs. A 36-ECM protein signature reflects pancreatic ductal adenocarcinoma tumor and metastasis progression and predicts patient survival across cancer types, supporting FDMs for cancer modeling and identification of desmoplastic ECM components.",{"@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/fibroblast-derived-matrix-models-desmoplastic-properties-and-forms-a-prognostic-signature-in-cancer-progression/377065/",{"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/fibroblast-derived-matrix-models-desmoplastic-properties-and-forms-a-prognostic-signature-in-cancer-progression/377065.png","ImageObject",300,407,{"name":92,"@type":93},"Sarah ","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-09-28","2026-09-24",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 focus of the study?","Question",{"text":112,"@type":113},"The study investigates how fibroblast-derived matrices (FDMs) model desmoplastic changes in cancer, and how these changes relate to cancer progression and prognosis.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How do cancer-associated FDMs differ from matrices derived from non-malignant tissue?",{"text":117,"@type":113},"Cancer-associated FDMs show increased abundance of core ECM proteins and increased stiffness and density compared with FDMs derived from non-malignant fibroblasts.",{"name":119,"@type":110,"acceptedAnswer":120},"What is the prognostic ECM signature derived from the FDM data?",{"text":121,"@type":113},"From compositional changes of FDM, the study derives a 36-ECM protein signature that matches pancreatic ductal adenocarcinoma progression and predicts survival based on patient transcriptomic data across multiple cancer types.","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},377065,1790528085,{"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":41},962085320529,"https://ap-avatar.wpscdn.com/davatar_9964176cb1d06d4a9deccf72a44ae3dc","TYPE Original Research PUBLISHED 18 July 2023  \nDOI 10.3389/fimmu.2023.1154528  \nOPEN ACCESS  \nEDITED BY  \nDenisa Baci,  \nUniversity of Insubria, Italy  \nREVIEWED BY  \nAbhilasha Purohit,  \nNational Institutes of Health (NIH), United States  \nJose Manuel Garcia-Manteiga, San Raffaele Hospital (IRCCS), Italy Janusz Franco-Barraza,  \nChase Cancer Center, United States  \n*CORRESPONDENCE Janine T. Erler  \n[janine.erler@bric.ku.dk](janine.erler@bric.ku.dk)[ ](janine.erler@bric.ku.dk)Raphael Reuten  \n raphael. reuten@pharmakol. uni[freiburg.de](freiburg.de)  \n†These authors have contributed equally to this work  \nRECEIVED 30 January 2023  \nACCEPTED 30 May 2023  \nPUBLISHED 18 July 2023  \nCITATION  \nRafaeva M, Jensen ARD, Horton ER, Zornhagen KW, Strøbech JE,  \nFleischhauer L, Mayorca-Guiliani AE, Nielsen SR, Grønseth DS, Ku´s F, Schoof EM, Arnes L, Koch M, Clausen-Schaumann H, Izzi V, Reuten R and Erler JT (2023)  \nFibroblast-derived matrix models desmoplastic properties and forms a prognostic signature in cancer progression. Front. Immunol. 14:1154528 .  \ndoi: 10.3389/fimmu.2023.1154528  \nCOPYRIGHT  \n© 2023 Rafaeva, Jensen, Horton, Zornhagen, Strøbech, Fleischhauer, Mayorca-Guiliani, Nielsen, Grønseth, Kus´, Schoof, Arnes, Koch, Clausen-Schaumann, Izzi, Reuten and Erler. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.  \nFibroblast-derived matrix models desmoplastic properties and forms a prognostic signature in cancer progression  \nMaria Rafaeva 1†, Adina R. D. Jensen 1†, Edward R. Horton 1†, Kamilla W. Zornhagen 1, Jan E. Strøbech 1,  \nLutz Fleischhauer 2,3, Alejandro E. Mayorca-Guiliani 1, Sebastian R. Nielsen 1, Dina S. Grønseth 1, Filip Ku´s1, Erwin M. Schoof 1,4,5,6, Luis Arnes1, Manuel Koch 7,8, Hauke Clausen-Schaumann 2,3, Valerio Izzi 9,10,11, Raphael Reuten 1,12,13* and Janine T. Erler 1*  \n1 Biotech Research and Innovation Centre, University of Copenhagen, Copenhagen, Denmark, 2Center for Applied Tissue Engineering and Regenerative Medicine-CANTER, Munich University of Applied Sciences, Munich, Germany, 3Center for NanoScience – CsNS, Ludwig-Maximilians-University Munich, Munich, Germany, 4 Department of Biotechnology and Biomedicine, Technical University of Denmark, Lyngby, Denmark, 5The Finsen Laboratory, Rigshospitalet, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark, 6 Novo Nordisk Foundation Centre for Stem Cell Biology, DanStem, Faculty of Health Sciences, University of Copenhagen, Copenhagen, Denmark,  \n7Center for Biochemistry, Center for Molecular Medicine Cologne (CMMC), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany, 8 Institute for Dental Research and Oral Musculoskeletal Biology, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany, 9 Faculty of Biochemistry and Molecular Medicine, University of Oulu, Oulu, Finland, 10 Faculty of Medicine, University of Oulu, Oulu, Finland, 11 Foundation for the Finnish Cancer Institute, Helsinki, Finland, 12 Institute of Experimental and Clinical Pharmacology and Toxicology, Medical Faculty, University of Freiburg, Freiburg, Germany, 13 Department of Obstetricsand Gynecology, Medical Center, University of Freiburg, Freiburg, Germany  \nThe desmoplastic reaction observed in many cancers is a hallmark of disease progression and prognosis, particularly in breast and pancreatic cancer. Stromalderived extracellular matrix (ECM) is significantly altered in desmoplasia, and as such plays a critical role in driving cancer progression. Using fibroblast-derived matrices (FDMs), we show","cbCaidoderntegNg","https://ap.wps.com/l/cbCaidoderntegNg","pdf",2669396,12,"English","# Introduction\n## Extracellular matrix and cancer progression\n## Desmoplastic reaction and tumor microenvironment","[{\"question\":\"What is the main focus of the study?\",\"answer\":\"The study investigates how fibroblast-derived matrices (FDMs) model desmoplastic changes in cancer, and how these changes relate to cancer progression and prognosis.\"},{\"question\":\"How do cancer-associated FDMs differ from matrices derived from non-malignant tissue?\",\"answer\":\"Cancer-associated FDMs show increased abundance of core ECM proteins and increased stiffness and density compared with FDMs derived from non-malignant fibroblasts.\"},{\"question\":\"What is the prognostic ECM signature derived from the FDM data?\",\"answer\":\"From compositional changes of FDM, the study derives a 36-ECM protein signature that matches pancreatic ductal adenocarcinoma progression and predicts survival based on patient transcriptomic data across multiple cancer types.\"}]","Fibroblast-derived matrix models desmoplastic properties and forms a prognostic signature in cancer progression | PDF",1790222955]