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While miRNAs are well established, knowledge about non-miRNA sncRNAs in oncology remains limited. PCsRNAdb addresses this gap by integrating 190 GEO/SRA datasets covering 11,114 samples across 19 cancer types, delivering sequence, length, abundance, target genes, and multiple advanced analyses including differential expression, survival, expression profiling, and network 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types of small noncoding RNAs does PCsRNAdb support?","Question",{"text":112,"@type":113},"PCsRNAdb covers sncRNAs including miRNAs, piRNAs, tRNA-derived fragments (tDRs), rRNA-derived fragments (rRFs), and other small RNAs.","Answer",{"name":115,"@type":110,"acceptedAnswer":116},"How many datasets and samples are included in PCsRNAdb?",{"text":117,"@type":113},"PCsRNAdb collects 190 datasets from GEO/SRA encompassing 11,114 samples across 19 cancer types.",{"name":119,"@type":110,"acceptedAnswer":120},"Which advanced functions are provided by the PCsRNAdb database?",{"text":121,"@type":113},"PCsRNAdb offers differential expression analysis, survival analysis, expression profiling analysis, and network regulatory analysis.","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},346266,1790171323,{"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":145},1099513958762,"https://ap-avatar.wpscdn.com/avatar/1000023916a998db790?x-image-process=image/resize,m_fixed,w_180,h_180&k=1784791008015729253","Nucleic Acids Research, 2026, 54, D1545–D1555 [https://doi.org/10.1093/nar/gkaf992](https://doi.org/10.1093/nar/gkaf992)  \nAdvance access publication date: 8 October 2025  \nDatabase issue  \nPCsRNAdb: a comprehensive resource of small noncoding RNAs across cancers  \nRende Huang1 ,2 ,3 ,4 ,†, Jiang Li5 ,†, Qi Cao2 , 6 ,†, Lixia Wang7 ,†, Zhixiong Shao2 , 6 , Haochun Yang2 , 6 , Xinlei Zhang8 , Chuanlai Yang7 , Xiangya Kong8 , Qiuyue Gu8 , Jianmin Wu6 ,9 , Tsan-Yu Chiu6 , Penghu Lian 10 , *, Kui Wu2 , 11 , *, Feng Gao 1 ,3 ,4 , *, Zhongxu Zhu 2 , 6 , *  \n1 Department of General Surgery (Colorectal Surgery), The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510000, China  \n2Zhejiang Cancer Hospital, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310018, China  \n3 Guangdong Provincial Key Laboratory of Colorectal and Pelvic Floor Diseases, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510000, China  \n4 Biomedical Innovation Center, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou 510000, China  \n5 Clinical Big Data Research Center, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China  \n6 Biomics Center, Hangzhou Institute of Medicine (HIM), Chinese Academy of Sciences, Hangzhou 310018, China  \n7 Department of Urology, The Second Affiliated Hospital of Soochow University, Suzhou Jiangsu 215006, China  \n8 Beijing Cloudna Technology Company, Limited, Beijing 100029, China  \n9 Key Laboratory of Laboratory Medicine, Ministry of Education, Institute of Genomic Medicine, School of Laboratory Medicine and Life Science, Wenzhou Medical University, Zhejiang 325035, China  \n10 Peking Union Medical College Hospital, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100730, China  \n11 Jiangxi Provincial Key Laboratory of Organ Development and Epigenetics, School of Basic Medicine, Jinggangshan University, Ji’an 343009, China  \n* To whom correspondence should be addressed. Email: [zhuzhongxu@him.cas.cn](zhuzhongxu@him.cas.cn)  \nCorrespondence may also be addressed to Feng Gao. Email: [gaof57@mail.sysu.edu.cn](gaof57@mail.sysu.edu.cn)  \nCorrespondence may also be addressed to [Kui Wu. Email: wukui@him.cas.cn](Kui Wu. Email: wukui@him.cas.cn)  \nCorrespondence may also be addressed to Penghu Lian. Email: [lianpenghu@126.com](lianpenghu@126.com)  \n†The first four authors should be regarded as Joint First Authors.  \nAbstract  \nSmall noncoding RNAs (sncRNAs) constitute a diverse class of endogenous transcripts, including miRNAs, piRNAs, tRNA-derived fragments (tDRs), rRNA-derived fragments (rRFs), and other small RNAs. They have been identified as pivotal regulatory elements in a wide array of biological processes and diseases. Among these, miRNA is the most extensively studied and confirmed as a key regulatory and diagnostic biomarker in tumorigenesis and development. However, the current understanding of sncRNAs other than miRNA remains limited, particularly in the field of oncology. To this end, we collected 190 datasets from GEO/SRA database, encompassing 11 114 samples across 19 cancer types, and built a user-friendly database, the Pan-Cancer Small Non-Coding RNA Database (PCsRNAdb, [http://pcsrnadb.cloudna.cn/\\#/Home](http://pcsrnadb.cloudna.cn/#/Home)), which is developed to provide abundant resources of sncRNAs specifically designed to investigate the association between sncRNAs and cancers. PCsRNAdb comprehensively provides basic information such as the sequence, length, abundance, and target genes of sncRNAs, and further offers four advanced functionalities, including differential expression analysis, survival analysis, expression profiling analysis, and network regulatory analysis. We anticipate that such platform offers invaluable resources and effective analytical tools for researchers in related fields and is expected to facilitate cancer-related research in this domain.  \nGraphical abstract  \nReceived: July 22, 20","cbCaigNtIrLABSKN","https://ap.wps.com/l/cbCaigNtIrLABSKN","pdf",3076011,11,"English","# Abstract\n## Database overview\n## Dataset collection and scope\n## Data and analysis functionalities","[{\"question\":\"What types of small noncoding RNAs does PCsRNAdb support?\",\"answer\":\"PCsRNAdb covers sncRNAs including miRNAs, piRNAs, tRNA-derived fragments (tDRs), rRNA-derived fragments (rRFs), and other small RNAs.\"},{\"question\":\"How many datasets and samples are included in PCsRNAdb?\",\"answer\":\"PCsRNAdb collects 190 datasets from GEO/SRA encompassing 11,114 samples across 19 cancer types.\"},{\"question\":\"Which advanced functions are provided by the PCsRNAdb database?\",\"answer\":\"PCsRNAdb offers differential expression analysis, survival analysis, expression profiling analysis, and network regulatory analysis.\"}]","PCsRNAdb - Database issue - a comprehensive resource of small noncoding RNAs across cancers | PDF",1790060720,28]