[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-346498-105":59,"doc-detail-346498-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-transcriptomics-identifies-fibroblast-associated-immune-heterogeneity-and-prognostic-signatures-in-bladder-cancer","Single-cell transcriptomics identifies fibroblast associated immune heterogeneity and prognostic signatures in bladder cancer","","Immune microenvironment and patient outcomes in bladder cancer (BLCA) remain challenging, motivating a study to build predictive prognostic indicators and characterize immune-related mechanisms. Single-cell RNA-seq data were used to construct a single-cell transcriptional atlas emphasizing fibroblast gene programs, inferred intercellular communication, metabolic pathways via single-cell flux estimation, and transcription-factor networks. Fibroblast-associated prognostic gene signatures were validated in TCGA data, then a risk model stratified patients into high- and low-risk groups.",{"@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-transcriptomics-identifies-fibroblast-associated-immune-heterogeneity-and-prognostic-signatures-in-bladder-cancer/346498/",{"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-transcriptomics-identifies-fibroblast-associated-immune-heterogeneity-and-prognostic-signatures-in-bladder-cancer/346498.png","ImageObject",300,407,{"name":92,"@type":93},"Finn","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-09-23","2026-09-22",true,{"@type":102,"interactionType":103,"userInteractionCount":8},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What problem does the study address in bladder cancer?","Question",{"text":112,"@type":113},"The study targets unresolved challenges in understanding the immune microenvironment and prognosis in bladder cancer, aiming to improve clinical treatment strategies through predictive indicators.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How was the single-cell analysis performed?",{"text":117,"@type":113},"A single-cell transcriptional atlas was constructed from single-cell RNA-seq data, focusing on fibroblast-related gene expression, inferred intercellular communication, single-cell flux-estimated metabolic pathways, and transcription factor networks.",{"name":119,"@type":110,"acceptedAnswer":120},"How did the researchers derive prognostic value?",{"text":121,"@type":113},"Fibroblast-associated prognostic gene signatures were validated using TCGA data, and a prognostic model stratified patients into high- and low-risk groups based on the model.","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},346498,1790187312,{"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":8,"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":36},34359740700684,"https://ap-avatar.wpscdn.com/avatar/1f400023980c374ae676?_k=1777273430885731487","[www. nature.com/scientificreports](www. nature.com/scientificreports)  \nOPEN  \nSingle-cell transcriptomics identifies fibroblast associated immune heterogeneity and prognostic signatures in bladder cancer  \nXiaojuan Tang1,8, Ling Liu4,8, Min Gao4, Peng Duan5, Sheng Li1, Zilong Yuan6, Qiang Xia7, Lei Xi3􀀍 & Yan Tan2,7􀀍  \nThe immune microenvironment and prognosis of bladder cancer (BLCA) remain ongoing challenges in its treatment. This study aimed to establish predictive prognostic indicators and investigate the immune microenvironment to enhance clinical treatment strategies. A single-cell transcriptional atlas was constructed using single-cell RNA-seq data from patients with bladder cancer, focusing on fibroblast-related gene expression, intercellular communication, metabolic pathways inferred by single-cell flux estimation analysis, and transcription factor networks. Fibroblast-associated prognostic gene signatures were validated using data from The Cancer Genome Atlas, and a prognostic model was developed to stratify patients with bladder cancer into high-and low-risk groups. Analysis of three para-carcinoma single-cell samples revealed the presence of 3,603 fibroblasts and 500 fibroblastassociated marker genes. Notably, key fibroblast-specific transcription factors, including MAF, TWIST1, and TCF21, were identified through SCENIC analysis. The incorporation of comprehensive RNA sequencing data enabled the discovery of prognostic markers associated with fibroblasts. Using this classification model, patient survival could be stratified into high-and low-risk categories based on the model. The results of our study highlight the prognostic genetic signatures associated with the fibroblast component of the immune microenvironment in BLCA, offering preliminary insights into prognostic assessment and potential therapeutic implications.  \nKeywords Bladder cancer, Single-cell RNA sequencing, Fibroblast marker, Immune microenvironment, Prognostic biomarkers  \nAbbreviations  \nBLCA Bladder cancer  \nTME Tumour microenvironment  \nCAFs Cancer-associated fibroblasts  \nTCGA The Cancer Genome Atlas GEO Gene Expression Omnibus PCA Principal component analysis  \n1Department of Radiology, Renmin Hospital, Hubei University of Medicine, Shiyan 442000, Hubei, P. R. China.  \n2Department of Andrology, Renmin Hospital, Hubei University of Medicine, Shiyan 442000, Hubei, P. R. China.  \n3Department of Anesthesiology, Renmin Hospital, Hubei University of Medicine, Shiyan 442000, Hubei, P. R. China.  \n4Hubei Key Laboratory of Embryonic Stem Cell Research, School of Basic Medical Sciences, Hubei University of Medicine, No. 30 Renmin South Road, Shiyan 442000, Hubei, China. 5Key Laboratory of Zebrafish Modeling and Drug Screening for Human Diseases of Xiangyang City, Department of Obstetricsand Gynaecology, Xiangyang No. 1 People’s Hospital, Hubei University of Medicine, Xiangyang 441000, Hubei, China. 6Department of Radiology, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, No 116 Zhuodaoquan South Load, Hongshan District, Wuhan 430000, Hubei, China. 7Biomedical Engineering College, Hubei University of Medicine, No. 30 Renmin South Road, Shiyan 442000, Hubei, China. 8Xiaojuan Tang and Ling Liu contributed equally to this work. 􀀍 [email: xilei_1919@163.com](email: xilei_1919@163.com); [tanyan-1@163.com](tanyan-1@163.com)  \n[www. nature.com/scientificreports/](www. nature.com/scientificreports/)  \nDEGs Differentially expressed genes GO Gene ontology  \nGRNs Genetic regulatory networks RAS Regulon activity score  \nSEEK Search-based exploration of expression LASSO Least absolute shrinkage and selection operator GC Gastric cancer  \nROC Receiver operating characteristic MAF Mutation annotation format  \nTMB Tumor mutation burden  \nGTEx Genotype-tissue expressionscFEA Single-cell flux estimation analysis EMT Epithelial-mesenchymal transition  \nECM Extracellular matrix  \nTGF-β Transforming growth factor-beta BMPs Bone ","cbCaiawN79ODp80G","https://ap.wps.com/l/cbCaiawN79ODp80G","pdf",3492860,16,"English","# Introduction\n## Clinical challenge in bladder cancer\n## Role of tumor immune microenvironment\n## Importance of cancer-associated fibroblasts\n# Study aims and approach\n## Single-cell transcriptional atlas construction\n## Fibroblast-associated gene signature validation\n## Prognostic model and risk stratification","[{\"question\":\"What problem does the study address in bladder cancer?\",\"answer\":\"The study targets unresolved challenges in understanding the immune microenvironment and prognosis in bladder cancer, aiming to improve clinical treatment strategies through predictive indicators.\"},{\"question\":\"How was the single-cell analysis performed?\",\"answer\":\"A single-cell transcriptional atlas was constructed from single-cell RNA-seq data, focusing on fibroblast-related gene expression, inferred intercellular communication, single-cell flux-estimated metabolic pathways, and transcription factor networks.\"},{\"question\":\"How did the researchers derive prognostic value?\",\"answer\":\"Fibroblast-associated prognostic gene signatures were validated using TCGA data, and a prognostic model stratified patients into high- and low-risk groups based on the model.\"}]","Single-cell transcriptomics identifies fibroblast associated immune heterogeneity and prognostic signatures in bladder cancer | PDF",1790061713]