• 中文核心期刊要目总览
  • 中国科技核心期刊
  • 中国科学引文数据库(CSCD)
  • 中国科技论文与引文数据库(CSTPCD)
  • 中国学术期刊文摘数据库(CSAD)
  • 中国学术期刊(网络版)(CNKI)
  • 中文科技期刊数据库
  • 万方数据知识服务平台
  • 中国超星期刊域出版平台
  • 国家科技学术期刊开放平台
  • 荷兰文摘与引文数据库(SCOPUS)
  • 日本科学技术振兴机构数据库(JST)

构建M1型巨噬细胞相关lncRNA签名预测肿瘤免疫微环境

Construction of an M1 macrophage-related lncRNA signature for predicting the tumor immune microenvironment

  • 摘要: 长链非编码RNA(lncRNA)被认为是肿瘤微环境和肿瘤免疫微环境中至关重要的分子。巨噬细胞作为免疫系统的重要成员,与M1型巨噬细胞功能相关的lncRNA依然需要进一步的探讨。本文基于肿瘤微环境中M1型巨噬细胞浸润程度高和低的队列样本的转录组差异构建了lncRNA签名。该lncRNA签名包含7个lncRNA:LINC01494,ZDHHC20-IT1,LINC01450,LINC00871,EVX1-AS,KIF25-AS和AADACL2-AS1。这些lncRNA均在M1巨噬细胞缺乏型病人样本中高表达,表明它们在抑制巨噬细胞浸润和极化为M1亚型过程中的潜在作用,进而导致免疫排斥型的肿瘤微环境,而这已被证明与不良预后密切相关。该lncRNA签名不仅预测了不理想的临床预后,也与抗原处理和递呈障碍所导致的免疫抑制性环境相关。此外,我们也评估了该lncRNA签名对于免疫检查点抑制疗法中的预测价值,这进一步丰富和增强了lncRNA在预测免疫治疗响应情况的价值。

     

    Abstract: Long noncoding RNAs (lncRNAs) are considered crucial molecules associated with the tumor microenvironment (TME) and tumor immune microenvironment (TIM). Macrophages are important members of the immune system, and M1 macrophage function-associated lncRNAs still need to be further investigated. In this study, a lncRNA signature was constructed based on transcriptome differences between high and low M1 macrophage infiltration cohorts. This lncRNA signature included seven lncRNAs: LINC01494, ZDHHC20-IT1, LINC01450, LINC00871, EVX1-AS, KIF25-AS and AADACL2-AS1, and all of them were upregulated in patients lacking M1 macrophages, indicating their roles in inhibiting macrophage infiltration and polarizing to the M1 subtype, leading to an immune exclusion TME, which has been demonstrated to be closely correlated with poor prognosis. This lncRNA signature not only predicted undesirable clinical outcomes but was also associated with the immunosuppressive environment of the tumor region, which is mediated by hindering antigen presentation and processing progress. In addition, the predictive value of this lncRNA signature for immune checkpoint inhibition (ICI) therapy was also evaluated, which further enriched and strengthened the power of lncRNAs in predicting the immunotherapy response rate.

     

/

返回文章
返回