癌症干性在癌症的发生和进展中发挥着重要作用，是肿瘤侵袭、转移、复发和不良预后的主要原因。非编码 RNA (ncRNA) 是一类 RNA 转录物，通常不能编码蛋白质，但已被证明在调节癌症干细胞性方面发挥着关键作用。在这里，我们开发了 ncStem 数据库来记录手动策划和预测的与癌症干性相关的 ncRNA。 ncStem 总共包含 645 个经过实验验证的条目，包括 159 个长非编码 RNA (lncRNA)、254 个 microRNA (miRNA)、39 个环状 RNA (circRNA) 和 5 个其他 ncRNA。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。此外，ncStem 还为 33 种 TCGA 癌症提供计算预测的癌症干性相关 ncRNA，这些癌症使用基于监管和共表达网络的随机游走与重启 (RWR) 算法进行优先级排序。预测的癌症干性相关 ncRNA 总数包括 11~132 个 lncRNA 和 972 个 miRNA。此外，ncStem 还提供了用于癌症干性相关 ncRNA 的功能富集分析、生存分析和细胞位置询问的工具。总之，ncStem 提供了一个检索癌症干性相关 ncRNA 的平台，这可能有助于癌症干性研究并为癌症治疗提供潜在靶点。数据库网址：http://www.nidmarker-db.cn/ncStem/index.html。© 作者 2024。牛津大学出版社出版。

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.© The Author(s) 2024. Published by Oxford University Press.