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Lipids from 15 classes are mapped across stages and linked to metabolic and signaling changes, inflammatory response, cellular stress, and proliferation, identifying stage-distinguishing lipid biomarkers.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/healthcare/","Healthcare",3,{"item":32,"name":10,"@type":21,"position":33},"https://docshare.wps.com/document/ultrahigh-resolution-lipid-mass-spectrometry-imaging-of-high-grade-serous-ovarian-cancer-mouse-models/384203/",4,{"url":32,"name":10,"@type":35,"image":36,"author":41,"headline":10,"publisher":44,"fileFormat":47,"inLanguage":8,"description":12,"dateModified":48,"datePublished":49,"encodingFormat":47,"isAccessibleForFree":50,"interactionStatistic":51},"DigitalDocument",{"url":37,"@type":38,"width":39,"height":40},"https://docshare.wps.com/thumbnails/ultrahigh-resolution-lipid-mass-spectrometry-imaging-of-high-grade-serous-ovarian-cancer-mouse-models/384203.png","ImageObject",300,407,{"name":42,"@type":43},"Aran","Person",{"url":19,"name":45,"@type":46},"DocShare","Organization","application/pdf","2026-10-26","2026-09-24",true,{"@type":52,"interactionType":53,"userInteractionCount":55},"InteractionCounter",{"@type":54},"ViewAction",7,{"@type":57,"mainEntity":58},"FAQPage",[59,65,69],{"name":60,"@type":61,"acceptedAnswer":62},"Why is the study of ovarian cancer screening important, according to the document?","Question",{"text":63,"@type":64},"The document states that no effective screening tools exist for ovarian cancer, leading to very late diagnoses and making it one of the deadliest cancers among women.","Answer",{"name":66,"@type":61,"acceptedAnswer":67},"What method is used to investigate lipid changes in the mouse models?",{"text":68,"@type":64},"The study employs ultra-high-resolution Fourier transform ion cyclotron resonance MALDI mass spectrometry imaging to determine spatial distributions and lipid alterations in ovarian tissues.",{"name":70,"@type":61,"acceptedAnswer":71},"What do the lipid findings aim to support for diagnosis or future research?",{"text":72,"@type":64},"The work identifies highly specific lipid biomarkers that can distinguish tumors at different stages from healthy tissues, providing targets for future diagnostic panels.","https://schema.org",{"og:url":32,"og:type":75,"og:title":10,"og:site_name":45,"og:description":12},"article",{"robots":77,"canonical":32},"index,follow",{"doc_id":79,"site_id":7},384203,1790610364,{"code":4,"msg":82,"data":83},"success",[84,88,92,96,101,106,109,114,119,122,126],{"id":22,"doc_module":4,"doc_module_name":25,"category_name":85,"show_sort_weight":86,"slug":87},"Story & Novel",90,"story-novel",{"id":26,"doc_module":4,"doc_module_name":25,"category_name":89,"show_sort_weight":90,"slug":91},"Literature",80,"literature",{"id":33,"doc_module":4,"doc_module_name":25,"category_name":93,"show_sort_weight":94,"slug":95},"Exam",70,"exam",{"id":97,"doc_module":4,"doc_module_name":25,"category_name":98,"show_sort_weight":99,"slug":100},5,"Comic",60,"comic",{"id":102,"doc_module":4,"doc_module_name":25,"category_name":103,"show_sort_weight":104,"slug":105},6,"Technology",50,"technology",{"id":55,"doc_module":4,"doc_module_name":25,"category_name":29,"show_sort_weight":107,"slug":108},40,"healthcare",{"id":110,"doc_module":4,"doc_module_name":25,"category_name":111,"show_sort_weight":112,"slug":113},8,"Research & Report",30,"research-report",{"id":115,"doc_module":4,"doc_module_name":25,"category_name":116,"show_sort_weight":117,"slug":118},9,"Religion & Spirituality",20,"religion-spirituality",{"id":117,"doc_module":4,"doc_module_name":25,"category_name":120,"show_sort_weight":117,"slug":121},"World Cup","world-cup",{"id":123,"doc_module":4,"doc_module_name":25,"category_name":124,"show_sort_weight":123,"slug":125},10,"Lifestyle","lifestyle",{"id":127,"doc_module":4,"doc_module_name":25,"category_name":128,"show_sort_weight":97,"slug":129},19,"General","general",{"code":4,"msg":82,"data":131},{"doc_id":79,"user_id":132,"nickname":42,"user_avatar":133,"doc_module":4,"category_id":55,"category_name":29,"doc_title":10,"doc_description":12,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":55,"is_deleted":4,"is_public":22,"is_downloadable":22,"audit_status":22,"page_count":112,"language":139,"language_code":8,"site_id":7,"html_lang":8,"table_of_contents":140,"faqs":141,"seo_title":142,"seo_description":12,"update_tm":143,"read_time":144},137455076865,"https://ap-avatar.wpscdn.com/davatar_29158cc5080c5b710cf443261637dec0","bioRxiv preprint doi: [https://doi.org/10.1101/2023.10.30.564760](https://doi.org/10.1101/2023.10.30.564760); this version posted November 2, 2023. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made  \navailable under aCC-BY-NC-ND 4.0 International license.  \nUltrahigh Resolution Lipid Mass Spectrometry Imaging of High-Grade Serous  \nOvarian Cancer Mouse Models.  \nXin Ma 1, Andro Botros2, Sylvia R. Yun2, Eun Young Park2, Olga Kim2, Ruihong Chen3, Murugesan Palaniappan3,4, Martin M. Matzuk3,4, Jaeyeon Kim2,*, Facundo M. Fernández 1,5*  \n1School of Chemistry and Biochemistry, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.  \n2Departments of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indiana University Melvin and Bren Simon Comprehensive Cancer Center, Indianapolis, Indiana, 46202, United States.  \n3Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX 77030, United States.  \n4Center for Drug Discovery, Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX 77030, United States.  \n5Petit Institute of Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia 30332, United States.  \n*Co-corresponding authors. Facundo M. Fernández: Phone: 404-385-4432, Fax: 404-894-7452. E-mail: [facundo.fernandez@chemistry.gatech.edu. Jaeyeon Kim: Phone:](facundo.fernandez@chemistry.gatech.edu. Jaeyeon Kim: Phone:) 317-278-9740, Fax: 317-274-4648, E[email: jaeyeonk@iu.edu](email: jaeyeonk@iu.edu)  \nbioRxiv preprint doi: [https://doi.org/10.1101/2023.10.30.564760](https://doi.org/10.1101/2023.10.30.564760); this version posted November 2, 2023. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made  \navailable under aCC-BY-NC-ND 4.0 International license.  \nAbstract  \nNo effective screening tools for ovarian cancer (OC) exist, making it one of the deadliest cancers among women. Considering little is known about the detailed progression and metastasis mechanism of OC at a molecular level, it is crucial to gain more insights on how metabolic and signaling alterations accompany its development. Herein, we present a comprehensive study using ultra-high-resolution Fourier transform ion cyclotron resonance matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) to investigate the spatial distribution and alterations of lipids in ovarian tissues collected from double knockout (n = 4) and a triple mutant mouse models (n = 4) of high-grade serous ovarian cancer (HGSC) . Lipids belonging to a total of 15 different classes were annotated and their abundance changes compared to those in healthy mouse reproductive tissue (n = 4), mapping onto major lipid pathways involved in OC progression. From intermediate-stage OC to advanced HGSC, we provide a direct visualization of lipid distributions and their biological links to inflammatory response, cellular stress, cell proliferation, and other processes. We also show the ability to distinguish tumors at different stages from healthy tissues via a number of highly specific lipid biomarkers, providing targets for future panels that could be useful in diagnosis.  \nKeywords: Mass spectrometry imaging, matrix-assisted laser desorption/ionization, high-grade serous ovarian cancer, lipidomics, biomarkers.  \nbioRxiv preprint doi: [https://doi.org/10.1101/2023.10.30.564760](https://doi.org/10.1101/2023.10.30.564760); this version posted November 2, 2023. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made  \navailable under aCC-BY-NC-ND 4.0 International license.  \nIntroduction  \nOvar","cbCaicNXiJi1fXBZ","https://ap.wps.com/l/cbCaicNXiJi1fXBZ","pdf",14285313,"English","# Abstract\n# Keywords\n# Introduction","[{\"question\":\"Why is the study of ovarian cancer screening important, according to the document?\",\"answer\":\"The document states that no effective screening tools exist for ovarian cancer, leading to very late diagnoses and making it one of the deadliest cancers among women.\"},{\"question\":\"What method is used to investigate lipid changes in the mouse models?\",\"answer\":\"The study employs ultra-high-resolution Fourier transform ion cyclotron resonance MALDI mass spectrometry imaging to determine spatial distributions and lipid alterations in ovarian tissues.\"},{\"question\":\"What do the lipid findings aim to support for diagnosis or future research?\",\"answer\":\"The work identifies highly specific lipid biomarkers that can distinguish tumors at different stages from healthy tissues, providing targets for future diagnostic panels.\"}]","Ultrahigh Resolution Lipid Mass Spectrometry Imaging of High-Grade Serous Ovarian Cancer Mouse Models | PDF",1790261679,76]