癌症进展涉及分化表型的逐渐丧失以及祖细胞和干细胞样特征的获得，这是免疫治疗耐药的潜在罪魁祸首。尽管最先进的预测计算方法已经促进了癌症干性的预测，但目前还没有可以满足各种使用需求的有效资源。在这里，我们推出癌症干性在线，这是一种综合资源，可在整体和单细胞水平上有效评估癌症干性潜力。该资源集成了 8 个强大的预测算法以及 27 个与癌症干性相关的特征基因集，用于预测干性评分。下游分析从五个不同的方面进行，包括识别癌症干性的标志基因，探索与癌症标志、细胞状态、免疫反应以及与免疫细胞通讯的关联；调查对患者生存的贡献；并对不同方法之间的癌症干性进行稳健性分析。此外，用户还可以访问预先计算的 40 多种癌症类型的癌症干细胞图谱。分析结果的表格和各种可视化效果均可下载。总之，癌症干性在线是一个强大的资源，用于对癌症干性进行评分并扩展下游功能解释，包括免疫反应以及癌症标志。 《癌症干细胞在线》可免费访问http://bio-bigdata.hrbmu.edu.cn/CancerStemnessOnline.©作者2024。由牛津大学出版社和科学出版社代表中国科学院北京基因组研究所出版中国科学院/中国国家生物信息与遗传学中心。

Cancer progression involves the gradual loss of a differentiated phenotype and the acquisition of progenitor and stem-cell-like features, which are potential culprits of immunotherapy resistance. Although the state-of-art predictive computational methods have facilitated the prediction of cancer stemness, currently there is no efficient resource that can meet various usage requirements. Here, we present the Cancer Stemness Online, an integrated resource for efficiently scoring cancer stemness potential at the bulk and single-cell levels. The resource integrates 8 robust predictive algorithms as well as 27 signature gene sets associated with cancer stemness for predicting stemness scores. Downstream analyses were performed from five different aspects, including identifying the signature genes of cancer stemness, exploring the associations with cancer hallmarks, cellular states, the immune response, and communication with immune cells; investigating the contributions to patient survival; and performing a robustness analysis of cancer stemness among different methods. Moreover, the pre-calculated cancer stemness atlas for more than 40 cancer types can be accessed by users. Both the tables and diverse visualizations of the analytical results are available for download. Together, Cancer Stemness Online is a powerful resource for scoring cancer stemness and expanding the downstream functional interpretation, including immune response as well as cancer hallmarks. Cancer Stemness Online is freely accessible at http://bio-bigdata.hrbmu.edu.cn/CancerStemnessOnline.© The Author(s) 2024. Published by Oxford University Press and Science Press on behalf of the Beijing Institute of Genomics, Chinese Academy of Sciences / China National Center for Bioinformation and Genetics Society of China.