RecQ介导的基因组不稳定性2 (rm2):泛癌症的潜在预后和免疫生物标志物

Wei Wei, X. Ying, Liang Chen, Qingmei Sun, Xiaohuan Lu, Yang Xia, R. Xu, Zhechen Zhu, Dong Zhang, Q. Tang, Li Li, Jiaheng Xie, Hongzhu Yu
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引用次数: 2

摘要

背景:RecQ介导的基因组不稳定性2 (RMI2)是BLM-TopoIIIa-RMI1-RMI2 (BTR)复合物的重要组成部分。然而,RMI2在肿瘤发生和发展中的潜在免疫学关系的神秘面纱尚未被揭示。方法:利用Oncomine、TIMER和GEPIA数据库的数据,对泛癌组织中RMI2的差异表达(DE)进行分析。随后,通过TCGA数据库进行生存分析和临床分期相关性分析。随后,我们利用R软件进一步探讨RMI2表达水平与肿瘤突变负荷(TMB)、微卫星不稳定性(MSI)、肿瘤微环境(TME)、肿瘤免疫浸润细胞(TILs)、免疫检查点(ICP)、错配修复(MMRs)相关基因、m6a相关基因、DNA甲基化相关基因的关系。最后,利用基因本体(GO)和京都基因与基因组百科全书(KEGG)功能网络,通过基因集富集分析(GSEA)进行标注。结果:与癌旁正常组织相比,RMI2在大多数癌组织中的表达均显著增高(P < 0.05)。RMI2的高表达与不良预后和疾病晚期有关,特别是在LIHC和PAAD中。RMI2在16种肿瘤类型中表达与TMB相关,在8种肿瘤类型中表达与MSI相关。此外,RMI2与基质细胞和免疫细胞、icp相关基因、mmr相关基因、m6a相关基因和DNA甲基化相关基因之间存在显著正相关。最后,GSEA分析显示,RMI2参与泛癌症的多种信号通路。结论:RMI2可能是一个潜在的生物学靶点,可能在肿瘤的发生和发展中起重要作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RecQ mediated genome instability 2 (RMI2): a potential prognostic and immunological biomarker for pan-cancers
Background: RecQ mediated genome instability 2 (RMI2) is an essential component of the BLM-TopoIIIa-RMI1-RMI2 (BTR) complex. However, the mysterious veil of the potential immunological relationship of RMI2 in tumorigenesis and development has not been revealed. Methods: We conducted the differential expression (DE) analysis of the RMI2 in pan-cancer using data onto Oncomine, TIMER, and GEPIA databases. Afterward, survival analysis and clinical-stage correlation analysis were performed via the TCGA database. Subsequently, we used R software to further explore the relationship between the expression level of RMI2 and tumor mutation burden (TMB), microsatellite instability (MSI), tumor microenvironment (TME), tumor immune-infiltrated cells (TILs), immune checkpoints (ICP), mismatch repairs (MMRs) -related genes, m6A-related genes, DNA methylation-related genes. Finally, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional networks were also performed for annotation via gene set enrichment analysis (GSEA). Results: The RMI2 expressed remarkably high in most cancer types compared to cancer adjacent normal tissues (P < 0.05). High expression of RMI2 was linked to unfavorable prognosis and advanced stage of disease, especially in LIHC and PAAD. RMI2 expression was related to TMB in 16 cancer types and MSI in 8 cancer types. Furthermore, it is significant positive correlations between RMI2 and stromal and immune cells, ICP-related genes, MMRs-related genes, m6A-related genes, and DNA methylation-related genes. Finally, GSEA analysis revealed that RMI2 was engaged in a variety of signaling pathways in pan-cancers. Conclusions: RMI2 may serve as a potential biological target and probably assume a crucial part in tumorigenesis and progression.
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