State Key Laboratory of Oncology in South China, Cancer Center, Collaborative Innovation Center for Cancer Medicine, School of Life Sciences, Sun Yat-sen University, Guangzhou, China.
Cancer Res. 2019 Apr 15;79(8):2076-2083. doi: 10.1158/0008-5472.CAN-18-2169. Epub 2019 Feb 20.
Long noncoding RNAs (lncRNA) have emerged as promising biomarkers in cancer diagnosis, treatment, and prognosis. Recent studies suggest that a large number of coding gene expression microarray probes could be reannotated as lncRNAs. Microarray, once the most cutting-edge high-throughput gene expression technology, has been used for thousands of cancer studies and has brought invaluable resources for studying the functions of lncRNA in cancer development. However, a comprehensive lncRNA resource based on microarray data is still lacking. Here, we present lnCAR (lncRNAs from cancer arrays), a comprehensive open resource for providing expression profiles and prognostic landscape of lncRNAs derived from reannotation of public microarray data. Currently, lnCAR contains 52,300 samples for differential expression analysis and 12,883 samples for survival analysis from 10 cancer types. lnCAR allows users to interactively explore any annotated or novel lncRNAs. We believe lnCAR will serve as a valuable resource for the community focused on lncRNA research in cancer. SIGNIFICANCE: lnCAR, a new interactive tool of reannotated public cancer-related microarray data, provides expression profiles and prognostic landscapes of lncRNAs across thousands of samples and multiple cancer types.
长链非编码 RNA(lncRNA)已成为癌症诊断、治疗和预后的有前途的生物标志物。最近的研究表明,大量编码基因表达微阵列探针可以重新注释为 lncRNA。微阵列曾经是最先进的高通量基因表达技术,已经被用于数千项癌症研究,并为研究 lncRNA 在癌症发展中的功能提供了宝贵的资源。然而,基于微阵列数据的综合 lncRNA 资源仍然缺乏。在这里,我们提出了 lnCAR(来自癌症阵列的 lncRNA),这是一个全面的开放资源,提供了来自公共微阵列数据重新注释的 lncRNA 的表达谱和预后景观。目前,lnCAR 包含了 10 种癌症类型的 52300 个样本用于差异表达分析和 12883 个样本用于生存分析。lnCAR 允许用户交互式地探索任何注释或新的 lncRNA。我们相信 lnCAR 将成为专注于癌症 lncRNA 研究的社区的有价值的资源。意义:lnCAR 是一种新的重新注释的公共癌症相关微阵列数据的交互式工具,提供了数千个样本和多个癌症类型的 lncRNA 的表达谱和预后景观。