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RNA-seq data from GSE45604 and TCGA-PRAD were analyzed to identify lipid metabolism-related genes and microRNAs, select signature miRNAs using LASSO, XGBoost, and SVM-RFE, and build a diagnostic model. Key miRNAs were validated by qRT-PCR, followed by a TF-miRNA-mRNA network and Kaplan–Meier survival analyses.",{"@graph":69,"@context":123},[70,84,106],{"@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/lipid-metabolism-related-mirnas-with-potential-diagnostic-roles-in-prostate-cancer/380948/",{"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/lipid-metabolism-related-mirnas-with-potential-diagnostic-roles-in-prostate-cancer/380948.png","ImageObject",300,407,{"name":92,"@type":93},"Logic","Person",{"url":74,"name":95,"@type":96},"DocShare","Organization","application/pdf","2026-11-03","2026-09-24",true,{"@type":102,"interactionType":103,"userInteractionCount":105},"InteractionCounter",{"@type":104},"ViewAction",13,{"@type":107,"mainEntity":108},"FAQPage",[109,115,119],{"name":110,"@type":111,"acceptedAnswer":112},"What is the study trying to clarify about lipid metabolism and prostate cancer?","Question",{"text":113,"@type":114},"The study aims to address the unclear mechanisms linking lipid metabolism disorders to prostate cancer, focusing on lipid metabolism-related microRNAs and their diagnostic value.","Answer",{"name":116,"@type":111,"acceptedAnswer":117},"Which datasets and analytical methods were used to build the diagnostic signature?",{"text":118,"@type":114},"RNA sequencing data from GSE45604 and TCGA-PRAD were extracted from GEO and UCSC Xena. Lipid metabolism-related genes were identified using MSigDB, differentially expressed genes/miRNAs were detected with limma, and LASSO, XGBoost, and SVM-RFE were used to select signature miRNAs.",{"name":120,"@type":111,"acceptedAnswer":121},"How were the key microRNAs evaluated and what additional analyses were performed?",{"text":122,"@type":114},"Selected differentially expressed lipid metabolism-related miRNAs were validated in PCa versus BPH using qRT-PCR. The work also constructed a TF-miRNA-mRNA network and used Kaplan–Meier curves to assess associations with overall survival and biochemical recurrence-free survival.","https://schema.org",{"og:url":83,"og:type":125,"og:title":65,"og:site_name":95,"og:description":67},"article",{"robots":127,"canonical":83},"index,follow",{"doc_id":129,"site_id":62},380948,1790464296,{"code":4,"msg":5,"data":132},{"doc_id":129,"user_id":133,"nickname":92,"user_avatar":134,"doc_module":4,"category_id":34,"category_name":35,"doc_title":65,"doc_description":67,"doc_content":135,"file_id":136,"file_url":137,"file_type":138,"file_size":139,"view_count":105,"is_deleted":4,"is_public":8,"is_downloadable":8,"audit_status":8,"page_count":105,"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},1099513958762,"https://ap-avatar.wpscdn.com/avatar/1000023916a998db790?x-image-process=image/resize,m_fixed,w_180,h_180&k=1784791008015729253","Zhai et al. Lipids in Health and Disease (2023) 22:39  \n[https://doi.org/10.1186/s12944-023-01804-4](https://doi.org/10.1186/s12944-023-01804-4)  \nLipids in Health and Disease  \n RESEARCH Open Access  \nLipid metabolism-related miRNAs  \nwith potential diagnostic roles in prostate cancer  \nTianyuan Zhai1, Meng Dou2, Yubo Ma1, Hong Wang1, Fang Liu1, Liandong Zhang1, Tie Chong1, Ziming Wang1* and Li Xue1*  \nAbstract  \nBackground Prostate cancer (PCa), the second most prevalent solid tumor among men worldwide, has caused greatly increasing mortality in PCa patients. The effects of lipid metabolism on tumor growth have been explored, but the mechanistic details of the association of lipid metabolism disorders with PCa remain largely elusive.  \nMethods The RNA sequencing data of the GSE45604 and The Cancer Genome Atlas-Prostate Adenocarcinoma (TCGA-PRAD) datasets were extracted from the Gene Expression Omnibus (GEO) and UCSC Xena databases, respectively. The Molecular Signatures Database (MSigDB) was utilized to identify lipid metabolism-related genes. The limma R package was used to identify differentially expressed lipid metabolism-related genes (DE-LMRGs) and differentially expressed microRNAs (DEMs) . Moreover, least absolute shrinkage and selection operator (LASSO), extreme gradient boosting (XGBoost), and support vector machine-recursive feature elimination (SVM-RFE) were applied to select signature miRNAs and construct a lipid metabolism-related diagnostic model. The expression levels of selected differentially expressed lipid metabolism-related miRNAs (DE-LMRMs) in PCa and benign prostate hyperplasia (BPH) specimens were verified using quantitative real-time polymerase chain reaction (qRT‒PCR) . Furthermore, a transcription factor (TF)-miRNA‒mRNA network was constructed. Eventually, Kaplan‒Meier (KM) curves were plotted to illustrate the associations between signature miRNA-related mRNAs and TFs and overall survival (OS) along with biochemical recurrence-free survival (BCR) .  \nResults Forty-seven LMRMs were screened based on the correlation analysis of 29 DE-LMRGs and 56 DEMs, in which 27 LMRMs were stably expressed in the GSE45604 dataset. Subsequently, receiver operating characteristic (ROC) curves and machine learning methods were employed to develop a lipid metabolism-related diagnostic signature, which may be of diagnostic value for PCa patients. qRT‒PCR results showed that all seven key DE-LMRMs were differentially expressed between PCa and BPH tissues. Eventually, aTF-miRNA‒mRNA network was constructed. Conclusions These results suggested that 7 key diagnostic miRNAs were closely related to PCa pathological processes and provided new targets for the diagnosis and treatment of PCa. Moreover, CLIC6 and SCNN1A linked to miR- 200c-3p had good prognostic potential and provided valuable insights into the pathogenesis of PCa.  \nKeywords Prostate cancer, Lipid metabolism, microRNA, Diagnostic model, TF-miRNA‒mRNA network  \n*Correspondence:  \nZiming Wang [wangziming0104@163.com](wangziming0104@163.com)[ ](wangziming0104@163.com)Li Xue [xueli1979@xjtu.edu.cn](xueli1979@xjtu.edu.cn)  \nFull list of author information is available at the end of the article  \n© The Author(s) 2023. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holde","cbCaiksDBSlMapjt","https://ap.wps.com/l/cbCaiksDBSlMapjt","pdf",5822082,"English","# Abstract\n## Background\n## Methods\n## Results\n## Conclusions\n# Introduction\n## Clinical need for better PCa biomarkers","[{\"question\":\"What is the study trying to clarify about lipid metabolism and prostate cancer?\",\"answer\":\"The study aims to address the unclear mechanisms linking lipid metabolism disorders to prostate cancer, focusing on lipid metabolism-related microRNAs and their diagnostic value.\"},{\"question\":\"Which datasets and analytical methods were used to build the diagnostic signature?\",\"answer\":\"RNA sequencing data from GSE45604 and TCGA-PRAD were extracted from GEO and UCSC Xena. Lipid metabolism-related genes were identified using MSigDB, differentially expressed genes/miRNAs were detected with limma, and LASSO, XGBoost, and SVM-RFE were used to select signature miRNAs.\"},{\"question\":\"How were the key microRNAs evaluated and what additional analyses were performed?\",\"answer\":\"Selected differentially expressed lipid metabolism-related miRNAs were validated in PCa versus BPH using qRT-PCR. The work also constructed a TF-miRNA-mRNA network and used Kaplan–Meier curves to assess associations with overall survival and biochemical recurrence-free survival.\"}]","Lipid metabolism-related miRNAs - with potential diagnostic roles in prostate cancer | PDF",1790242918,33]