[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-0-en-105":3,"doc-seo-336940-105":59,"doc-detail-336940-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","identification-of-exosomal-cerna-networks-as-prognostic-markers-in-clear-cell-renal-cell-carcinoma","Identification of exosomal ceRNA networks as prognostic markers in clear cell renal cell carcinoma","","Aggressive clear cell renal cell carcinoma (ccRCC) has poor outcomes, driving the search for improved biomarkers for diagnosis and therapy. The study integrated exoRBase and The Cancer Genome Atlas to compare differentially expressed mRNAs, miRNAs, lncRNAs, and circRNAs between ccRCC and normal renal tissue. Intersections and target-link assessments informed a validated predictive mRNA signature. Overall survival analyses further defined a competing endogenous RNA network (circRNA–lncRNA–miRNA–mRNA), strongly associated with ccRCC prognosis, supporting novel biomarker discovery.",{"@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":35,"@type":76,"position":81},"https://docshare.wps.com/document/healthcare/",3,{"item":83,"name":65,"@type":76,"position":19},"https://docshare.wps.com/document/identification-of-exosomal-cerna-networks-as-prognostic-markers-in-clear-cell-renal-cell-carcinoma/336940/",{"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/identification-of-exosomal-cerna-networks-as-prognostic-markers-in-clear-cell-renal-cell-carcinoma/336940.png","ImageObject",300,407,{"name":92,"@type":93},"Skyler","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-10-28","2026-09-21",true,{"@type":102,"interactionType":103,"userInteractionCount":44},"InteractionCounter",{"@type":104},"ViewAction",{"@type":106,"mainEntity":107},"FAQPage",[108,114,118],{"name":109,"@type":110,"acceptedAnswer":111},"What data sources were used to identify the ceRNA network and biomarkers?","Question",{"text":112,"@type":113},"The study used exoRBase and The Cancer Genome Atlas database to compare differentially expressed mRNAs, miRNAs, lncRNAs, and circRNAs between ccRCC and normal renal tissues.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How was the predictive mRNA signature validated?",{"text":117,"@type":113},"A predictive mRNA signature was created using The Cancer Genome Atlas database and validated in E-MTAB-1980.",{"name":119,"@type":110,"acceptedAnswer":120},"What is the main biological finding about the ceRNA network in ccRCC?",{"text":121,"@type":113},"The work constructed a competing endogenous RNA regulation network involving circRNA–lncRNA–miRNA–mRNA and found it substantially correlates with ccRCC prognosis.","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},336940,1790065980,{"code":4,"msg":5,"data":131},{"doc_id":128,"user_id":132,"nickname":92,"user_avatar":133,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":134,"file_id":135,"file_url":136,"file_type":137,"file_size":138,"view_count":44,"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":145},2336464648746,"https://ap-avatar.wpscdn.com/davatar_276721f389ce27ea32af1340a28f341c","®  \n Observational Study   \nIdentification of exosomal ceRNA networks as prognostic markers in clear cell renal cell carcinoma  \nTao Zhu, MDa , Haizhu Fu, MDb , Zhiqiang Wang, MDb , Shanchun Guo, MD, PhDc ,* , Shidong Zhang, MDa  \n\n| Abstract\u003Cbr>Aggressive clear cell renal cell carcinoma (ccRCC) has a bad prognosis. We seek new ccRCC biomarkers for diagnosis and treatment. We used exoRBase and The Cancer Genome Atlas Database to compare DEmRNAs, DEmiRNAs, DElncRNAs, and DEcircRNAs in ccRCC and normal renal tissues. CircRNAs and circRNAs targeting microRNAs (miRNAs) were anticipated and taken intersections, and several databases assessed the targeted link between common miRNAs and messenger RNAs (mRNAs) . The Cancer Genome Atlas database was used to create a predictive mRNA signature that was validated in E-MTAB-1980 . Finally, we examined competing endogenous RNA network miRNAs and long noncoding RNAs for ccRCC predictive biomarkers using overall survival analysis. We built the first competing endogenous RNA regulation network of circRNA–lncRNA–miRNA– mRNA and found that it substantially correlates with ccRCC prognosis. We unveiled ccRCC’s posttranscriptional regulation mechanism in greater detail. Our findings identified novel biomarkers for ccRCC diagnosis, therapy, and prognosis. |\n| --- |\n| Abbreviations: B2M = beta-2-microglobulin, ccRCC = clear cell RCC , ceRNA = competing endogenous RNA , GPM = genes prognostic model, KIRC = kidney renal clear cell carcinoma, lncRNAs = long noncoding RNAs, miRNA = microRNA, mRNA = messenger RNA, OS = overall survival, RCC = renal cell carcinoma, ROC = receiver operating characteristic, TCGA = The Cancer Genome Atlas, TMB = tumor mutation burden, Tregs = regulatory T cells. |\n| Keywords: circRNA, lncRNA, miRNA, mRNA, prognostic marker, renal cell carcinoma |\n\n1. Introduction  \nRenal cell carcinoma (RCC) mainly originates from renal tubular epithelial cells and accounts for about 2% to 3% of all adult tumors.[1] In developed countries, the incidence of RCC is increasing at a rate of 2% per year.[2] Clear cell renal cell carcinoma (ccRCC) accounting for 80% to 90% of RCC is a common histopathologic subtype of kidney cancer.[3,4] Both a higher body mass index and hypertension have been demonstrated to independently enhance the chance of developing RCC over the long run.[5] Although surgical resection is the standard treatment for localized tumors, up to 40% of patients still experience disease recurrence, mainly in the first 5 years after surgery.[6] ccRCC exhibits significant aggressiveness and is associated with a dismal prognosis; thus, there is an urgent want for precise biomarkers to facilitate clinical decision-making and prognostic evaluation, alongside the discovery of novel therapeutic agents.  \nIn research involving 537 ccRCC patients, The Cancer Genome Atlas (TCGA) consortium identified notable abnormalities within the ccRCC group. [7] The alterations encompass mutations in genes and unique configurations involving  \nmessenger RNA (mRNA) and microRNA (miRNA) . These modifications indicate essential processes in ccRCC. Recent studies have identified significant functions for noncoding RNAs (ncRNAs), a category of RNAs that constitutes nearly 80% of the transcriptome. [8,9] ncRNAs are a common set of RNAs that lack any protein-coding potentials. [10] Circular RNA (circRNA) is a form of ncRNA characterized by a closed circular single-strand structure, consisting of hundreds to thousands of nucleotides, and lacking both a 5ʹ cap structure anda 3ʹ polyadenylated tail. [11] Long noncoding RNA (lncRNA) is characterized as linear noncoding RNAs exceeding 200 nucleotides in length, capable of functioning as a sponge to sequester miRNA. [12,13] CircRNAs and mRNAs possess miRNA-responsive element sequences that can bind miRNAs, leading to competition for scarce miRNAs and the establishment of a competitive endogenous RNA (ceRNA) regulation network. The ceRNA network is crucial in various ph","cbCaiuPBcG44zwGn","https://ap.wps.com/l/cbCaiuPBcG44zwGn","pdf",6177720,17,"English","# Introduction\n## Clinical need for prognostic biomarkers in ccRCC\n## Noncoding RNAs and the ceRNA regulatory concept","[{\"question\":\"What data sources were used to identify the ceRNA network and biomarkers?\",\"answer\":\"The study used exoRBase and The Cancer Genome Atlas database to compare differentially expressed mRNAs, miRNAs, lncRNAs, and circRNAs between ccRCC and normal renal tissues.\"},{\"question\":\"How was the predictive mRNA signature validated?\",\"answer\":\"A predictive mRNA signature was created using The Cancer Genome Atlas database and validated in E-MTAB-1980.\"},{\"question\":\"What is the main biological finding about the ceRNA network in ccRCC?\",\"answer\":\"The work constructed a competing endogenous RNA regulation network involving circRNA–lncRNA–miRNA–mRNA and found it substantially correlates with ccRCC prognosis.\"}]","Identification of exosomal ceRNA networks as prognostic markers in clear cell renal cell carcinoma | PDF",1790017152,43]