肿瘤进展中lncRNA与免疫检查点协同关系的动态变化。

IF 7.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Chenyu Liu, Qianyi Lu, Jian Li, Di Wang, Zhuoru Wang, Wenli Chen, Yakun Zhang, Caiyu Zhang, Yue Gao, Shangwei Ning
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引用次数: 0

摘要

在肿瘤与免疫系统的斗争中,基于免疫检查点(ICPs)的免疫逃避是肿瘤进展的关键机制。长链非编码rna (lncRNAs)在肿瘤发生和免疫反应中起着关键作用;然而,lncrna和icp在癌症进展中的协同关系的机制仍然知之甚少。通过蛋白质-蛋白质相互作用(PPI)网络,将人工筛选的icp和高可信度的lncrna -信使RNA (mRNA)相互作用整合在一起,构建了一组初始的lncRNA-ICP对。然后进行阶段特异性协同评分,并用于确定每种癌症类型的阶段特异性协同对。我们的研究结果表明,包括MALAT1和CRNDE在内的几个关键基因广泛参与癌症的进展,并在多种癌症中表现出不同的模式。lncRNA-ICP协同网络中的基因与癌症进展过程中免疫细胞的动态变化有关,这些关系在不同的癌症和分期中保持相对稳定。我们发现的协同对的关系与皮肤黑色素瘤的空间转录组学数据一致。值得注意的是,在第4阶段鉴定的基因的总体表达可以显著区分患者的生存结果。此外,我们鉴定的基因可以区分患者对免疫治疗的反应。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dynamic changes of synergy relationship between lncRNA and immune checkpoint in cancer progression.

In the battle between tumors and the immune system, immune evasion based on immune checkpoints (ICPs) is a critical mechanism for tumor progression. Long noncoding RNAs (lncRNAs) are key players in tumorigenesis and immune responses; however, the mechanisms underlying the synergistic relationship between lncRNAs and ICPs in cancer progression remain poorly understood. Manually curated ICPs and high-confidence lncRNA-messenger RNA (mRNA) interactions were integrated via a protein-protein interaction (PPI) network to construct an initial set of lncRNA-ICP pairs. Stage-specific synergy scores were then performed and used to identify stage-specific synergistic pairs for each cancer type. Our findings indicate that several key genes, including MALAT1 and CRNDE, are widely involved in cancer progression and exhibit various patterns in multiple cancers. Genes within the lncRNA-ICP synergy network were associated with the dynamic changes of immune cells during cancer progression, and these relationships remain relatively stable across different cancers and stages. The relationships of the synergistic pairs we identified demonstrate consistency with spatial transcriptomics data in skin cutaneous melanoma. Notably, the overall expression of genes identified in Stage 4 could significantly differentiate patients' survival outcomes. Moreover, the genes we identified could distinguish patients' responses to immunotherapy.

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来源期刊
Briefings in bioinformatics
Briefings in bioinformatics 生物-生化研究方法
CiteScore
13.20
自引率
13.70%
发文量
549
审稿时长
6 months
期刊介绍: Briefings in Bioinformatics is an international journal serving as a platform for researchers and educators in the life sciences. It also appeals to mathematicians, statisticians, and computer scientists applying their expertise to biological challenges. The journal focuses on reviews tailored for users of databases and analytical tools in contemporary genetics, molecular and systems biology. It stands out by offering practical assistance and guidance to non-specialists in computerized methodologies. Covering a wide range from introductory concepts to specific protocols and analyses, the papers address bacterial, plant, fungal, animal, and human data. The journal's detailed subject areas include genetic studies of phenotypes and genotypes, mapping, DNA sequencing, expression profiling, gene expression studies, microarrays, alignment methods, protein profiles and HMMs, lipids, metabolic and signaling pathways, structure determination and function prediction, phylogenetic studies, and education and training.
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