Table3_ImReLnc: Identifying Immune-Related LncRNA Characteristics in Human Cancers Based on Heuristic Correlation Optimization.XLSX

Long non-coding RNAs (lncRNAs) play critical roles in cancer through gene expression and immune regulation. Identifying immune-related lncRNA (irlncRNA) characteristics would contribute to dissecting the mechanism of cancer pathogenesis. Some computational methods have been proposed to identify irlncRNA characteristics in human cancers, but most of them are aimed at identifying irlncRNA characteristics in specific cancer. Here, we proposed a new method, ImReLnc, to recognize irlncRNA characteristics for 33 human cancers and predict the pathogenicity levels of these irlncRNAs across cancer types. We first calculated the heuristic correlation coefficient between lncRNAs and mRNAs for immune-related enrichment analysis. Especially, we analyzed the relationship between lncRNAs and 17 immune-related pathways in 33 cancers to recognize the irlncRNA characteristics of each cancer. Then, we calculated the Pscore of the irlncRNA characteristics to evaluate their pathogenicity levels. The results showed that highly pathogenic irlncRNAs appeared in a higher proportion of known disease databases and had a significant prognostic effect on cancer. In addition, it was found that the expression of irlncRNAs in immune cells was higher than that of non-irlncRNAs, and the proportion of irlncRNAs related to the levels of immune infiltration was much higher than that of non-irlncRNAs. Overall, ImReLnc accurately identified the irlncRNA characteristics in multiple cancers based on the heuristic correlation coefficient. More importantly, ImReLnc effectively evaluated the pathogenicity levels of irlncRNAs across cancer types. ImReLnc is freely available at https://github.com/meihonggao/ImReLnc.

长非编码RNA（lncRNA）在癌症的发生发展中通过基因表达和免疫调节发挥着至关重要的作用。识别与免疫相关的长非编码RNA（irlncRNA）特征，有助于揭示癌症发病机制的奥秘。虽然已有一些计算方法被提出，旨在识别人类癌症中的irlncRNA特征，但其中大多数方法聚焦于特定癌症类型的irlncRNA特征识别。在此，我们提出了一种新的方法，即ImReLnc，用于识别33种人类癌症中的irlncRNA特征，并预测这些irlncRNA在不同癌症类型中的致病性水平。我们首先计算了lncRNA与mRNA之间的启发式相关性系数，以进行免疫相关富集分析。特别是，我们分析了33种癌症中lncRNA与17种免疫相关途径之间的关系，以识别每种癌症的irlncRNA特征。随后，我们计算了irlncRNA特征的Pscore，以评估其致病性水平。结果显示，高度致病的irlncRNA在已知疾病数据库中的比例较高，并且对癌症的预后具有显著影响。此外，还发现irlncRNA在免疫细胞中的表达高于非irlncRNA，且与免疫浸润水平相关的irlncRNA比例远高于非irlncRNA。总体而言，基于启发式相关性系数，ImReLnc准确识别了多种癌症中的irlncRNA特征。更重要的是，ImReLnc有效地评估了irlncRNA在不同癌症类型中的致病性水平。ImReLnc可在https://github.com/meihonggao/ImReLnc免费获取。