[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-330633-105":59,"doc-detail-330633-en":130},{"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":123,"head_meta":125,"extra_data":127,"updated_unix":129},105,"en","single-cell-rna-sequencing-reveals-aberrant-sphingolipid-metabolism-in-non-small-cell-lung-cancer-impacts-tumor-associated-macrophages-and-stimulates-angiogenesis-via-macrophage-inhibitory-factor-signaling","Single-cell RNA sequencing reveals aberrant sphingolipid metabolism in non-small cell lung cancer impacts tumor-associated macrophages and stimulates angiogenesis via macrophage inhibitory factor signaling","","Single-cell RNA sequencing is used to investigate how aberrant sphingolipid metabolism shapes the tumor microenvironment in non-small cell lung cancer. By integrating bulk and single-cell RNA-seq datasets, transcriptomic differences between tumors and adjacent normal tissues are characterized, highlighting macrophage-associated enrichment of sphingolipid signaling. Macrophage–cancer communication is analyzed to identify the key MIF–CD74 ligand-receptor pair, and pseudo-time modeling links sphingolipid metabolism to macrophage polarization toward M1 or M2 phenotypes. Six macrophage subclusters are profiled, implicating specific clusters in M2 polarization and angiogenesis. Multiple scRNA-seq datasets support a potential MIF-targeted strategy to hinder M1-to-M2 polarization and reduce tumor angiogenesis, suggesting antitumor efficacy in low-SLM NSCLC.",{"@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/single-cell-rna-sequencing-reveals-aberrant-sphingolipid-metabolism-in-non-small-cell-lung-cancer-impacts-tumor-associated-macrophages-and-stimulates-angiogenesis-via-macrophage-inhibitory-factor-signaling/330633/",{"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/single-cell-rna-sequencing-reveals-aberrant-sphingolipid-metabolism-in-non-small-cell-lung-cancer-impacts-tumor-associated-macrophages-and-stimulates-angiogenesis-via-macrophage-inhibitory-factor-signaling/330633.png","ImageObject",300,407,{"name":92,"@type":93},"Eliana","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-03","2026-09-21",true,{"@type":102,"interactionType":103,"userInteractionCount":39},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What is the study focus regarding sphingolipid metabolism in NSCLC?","Question",{"text":112,"@type":113},"The study examines how aberrant sphingolipid metabolism affects the tumor microenvironment in non-small cell lung cancer, particularly through macrophage responses.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How were transcriptomic data used to assess tumor versus normal tissue?",{"text":117,"@type":113},"The analysis integrates publicly available bulk RNA-seq and single-cell RNA-seq data to compare transcriptomic features between tumors and adjacent normal tissues.",{"name":119,"@type":110,"acceptedAnswer":120},"What key signaling interaction is identified between macrophages and cancer cells?",{"text":121,"@type":113},"Cellular interaction analysis identifies macrophage inhibitory factor (MIF) and CD74 as a crucial ligand-receptor pair connecting macrophages and cancer cells with low sphingolipid metabolism.","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},330633,1790119809,{"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":39,"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,"preview_page_count":4},4398048949847,"https://ap-avatar.wpscdn.com/avatar/400002536579ef2da7f?_k=1778318612642679267","DOI: 10.1111/1759-7714.15283  \nORIGINA L ARTICLE  \nSingle-cell RNA sequencing reveals aberrant sphingolipid metabolism in non-small cell lung cancer impacts tumor-associated macrophages and stimulates angiogenesis via macrophage inhibitory factor signaling  \nLuyan Shen 1 | Jingtao Liu 2 | Fengling Hu 1 | Yifan Fang 1 | Yaya Wu 1 | Wei Zhao 3 | Shaohua Ma 4   \n1Key Laboratory of Carcinogenesis and Translational Research, Department of Thoracic Surgery I, Peking University Cancer Hospital and Institute, Beijing, China  \n2Key Laboratory of Carcinogenesis and Translational Research, Department of Pharmacology, Peking University Cancer Hospital and Institute, Beijing, China  \n3Key Laboratory of Carcinogenesis and Translational Research, Department of Clinical Laboratory, Peking University Cancer Hospital and Institute, Beijing, China  \n4State Key Laboratory of Molecular Oncology, Beijing, Key Laboratory of Carcinogenesis and Translational Research, Department of Thoracic Surgery I, Peking University Cancer Hospital and Institute, Beijing, China  \nCorrespondence  \nShaohua Ma, State Key Laboratory of Molecular Oncology, Beijing, Key Laboratory of Carcinogenesis and Translational Research, Department of Thoracic Surgery I, Peking University Cancer Hospital and Institute, Beijing 100142, People’s Republic of China. [Email:](Email: doctor_msh@bjmu.edu.cn)[ doctor_msh@bjmu.edu.cn](Email: doctor_msh@bjmu.edu.cn)  \nFunding information  \nScience Foundation of Peking University Cancer Hospital, Grant/Award Numbers: BJCH2024GG01, PY202334; National Natural Science Foundation of China, Grant/Award Number: 82373247; National Key Research and Development Program of China, Grant/Award Number: 2021YFC2500902  \nAbstract  \nBackground: Sphingolipids not only serve as structural components for maintaining cell membrane fluidity but also function as bioactive molecules involved in cell signaling and the regulation of various biological processes. Their pivotal role in cancer cell development, encompassing cancer cell proliferation, migration, angiogenesis, and metastasis, has been a focal point for decades. However, the contribution of sphingolipids to the complexity of tumor microenvironment promoting cancer progression has been rarely investigated.  \nMethods: Through the integration of publicly available bulk RNA-seq and single-cell RNA-seq data, we conducted a comprehensive analysis to compare the transcriptomic features between tumors and adjacent normal tissues, thus elucidating the intricacies of the tumor microenvironment (TME) .  \nResults: Disparities in sphingolipid metabolism (SLM)-associated genes were observed between normal and cancerous tissues, with the TME characterized by the enrichment of sphingolipid signaling in macrophages. Cellular interaction analysis revealed robust communication between macrophages and cancer cells exhibiting low SLM, identifying the crucial ligand-receptor pair, macrophage inhibitory factor (MIF)-CD74 . Pseudo-time analysis unveiled the involvement of SLM in modulating macrophage polarization towards either M1 or M2 phenotypes. Categorizing macrophages into six subclusters based on gene expression patterns and function, the SPP1+ cluster, RGS1 + cluster, and CXCL10+ cluster were likely implicated in sphingolipid-induced M2 macrophage polarization. Additionally, the CXCL10+, AGER+, and FABP4+ clusters were likely to be involved in angiogenesis through their interaction with endothelial cells.  \nConclusion: Based on multiple scRNA-seq datasets, we propose that a MIF-targeted strategy could potentially impede the polarization from M1 to M2 and impair tumor angiogenesis in low-SLM non-small cell lung cancer (NSCLC), demonstrating its potent antitumor efficacy.  \nKEYW ORD S  \nmacrophage polarization, MIF, NSCLC, ScRNA-sequence, sphingolipid metabolism  \nLuyan Shen and Jingtao Liu contributed equally to this work.  \nThis is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDe","cbCaiapbbLNlnely","https://ap.wps.com/l/cbCaiapbbLNlnely","pdf",6553196,12,"English","# Abstract\n## Background\n## Methods\n## Results\n## Conclusion\n# Introduction\n## Lung cancer burden and treatment context\n## Sphingolipids and lipid metabolism in NSCLC","[{\"question\":\"What is the study focus regarding sphingolipid metabolism in NSCLC?\",\"answer\":\"The study examines how aberrant sphingolipid metabolism affects the tumor microenvironment in non-small cell lung cancer, particularly through macrophage responses.\"},{\"question\":\"How were transcriptomic data used to assess tumor versus normal tissue?\",\"answer\":\"The analysis integrates publicly available bulk RNA-seq and single-cell RNA-seq data to compare transcriptomic features between tumors and adjacent normal tissues.\"},{\"question\":\"What key signaling interaction is identified between macrophages and cancer cells?\",\"answer\":\"Cellular interaction analysis identifies macrophage inhibitory factor (MIF) and CD74 as a crucial ligand-receptor pair connecting macrophages and cancer cells with low sphingolipid metabolism.\"}]","Single-cell RNA sequencing reveals aberrant sphingolipid metabolism in non-small cell lung cancer impacts tumor-associated macrophages and stimulates angiogenesis via macrophage inhibitory factor signaling | PDF",1789989598]