癌症的干性在癌症的发生和发展中起着重要的作用。是肿瘤侵袭的主要原因,转移,复发,预后不良。非编码RNA(ncRNA)是一类RNA转录本,通常不能编码蛋白质,并已被证明在调节癌症干细胞性中起关键作用。这里,我们开发了ncStem数据库来记录与癌症干性相关的人工筛选和预测的ncRNAs.总的来说,ncStem包含645个经过实验验证的条目,包括159个长链非编码RNA(lncRNAs),254microRNAs(miRNAs),39个环状RNA(circRNAs),和5个其他ncRNAs。每个条目的详细信息包括ncRNA名称,ncRNA标识符,疾病,参考,表达方向,组织,物种,等等。此外,ncStem还为33种TCGA癌症提供了计算预测的癌症干性相关ncRNAs,使用基于监管和共表达网络的重启随机游走(RWR)算法对其进行优先级排序。总的预测癌症干性相关ncRNA包括11132个lncRNA和972个miRNA。此外,ncStem提供了功能富集分析工具,生存分析,以及癌症干性相关ncRNAs的细胞定位询问。总之,ncStem提供了一个平台来检索癌症干性相关的ncRNAs,这可能有助于对癌症干性的研究,并为癌症治疗提供潜在的靶标。数据库URL:http://www。nidmarker-db。cn/ncStem/index。html.
Cancer stemness plays an important role in cancer initiation and progression, and is the major cause of tumor invasion, metastasis, recurrence, and poor prognosis. Non-coding RNAs (ncRNAs) are a class of RNA transcripts that generally cannot encode proteins and have been demonstrated to play a critical role in regulating cancer stemness. Here, we developed the ncStem database to record manually curated and predicted ncRNAs associated with cancer stemness. In total, ncStem contains 645 experimentally verified entries, including 159 long non-coding RNAs (lncRNAs), 254 microRNAs (miRNAs), 39 circular RNAs (circRNAs), and 5 other ncRNAs. The detailed information of each entry includes the ncRNA name, ncRNA identifier, disease, reference, expression direction, tissue, species, and so on. In addition, ncStem also provides computationally predicted cancer stemness-associated ncRNAs for 33 TCGA cancers, which were prioritized using the random walk with restart (RWR) algorithm based on regulatory and co-expression networks. The total predicted cancer stemness-associated ncRNAs included 11 132 lncRNAs and 972 miRNAs. Moreover, ncStem provides tools for functional enrichment analysis, survival analysis, and cell location interrogation for cancer stemness-associated ncRNAs. In summary, ncStem provides a platform to retrieve cancer stemness-associated ncRNAs, which may facilitate research on cancer stemness and offer potential targets for cancer treatment. Database URL: http://www.nidmarker-db.cn/ncStem/index.html.