RNF43 p.G659fs 通过 PI3K/AKT/mTOR 信号通路和 HLA-E 上调导致 MSI-high 结直肠癌中 NK 细胞功能障碍
RNF43 p.G659fs leads to natural killer cell dysfunction in MSI-high colorectal cancer through PI3K/AKT/mTOR signaling and HLA-E up-regulation.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Identification of key immune-related genes and potential therapeutic targets in immune checkpoint inhibitor-associated myocarditis.
Identification of key immune-related genes and potential therapeutic targets in immune checkpoint inhibitor-associated myocarditis.
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NKG7、GZMH 和 KLRB1 被确定为 ICI-MC 中的关键免疫相关基因。生物学富集包括参与细胞裂解、CD8+ T 细胞受体通路、NK 细胞介导的细胞毒性、RAGE 信号传导和促炎反应的通路。ceRNA 网络阐明了关键分子的作用,并强调了在 ICI 治疗中避免使用乙酰氧肟酸等药物的重要性。关键信息 关于此主题的已知信息 心肌炎被认为是 ICI 相关的严重毒性,似乎不常见,但往往暴发性且致命。ICI 相关心肌炎的潜在机制仍未完全了解。尽管 T 细胞和细胞毒性 T 淋巴细胞相关蛋白 4(CTLA-4)的重要性显而易见,但激发抗原、其被识别的原因以及导致心肌细胞损伤的机制尚未得到充分表征。
免疫检查点抑制剂(ICIs)广泛用于癌症治疗;然而,ICI相关心肌炎(ICI-MC)的出现是一种严重且可能致命的并发症,其病理生理机制尚不清楚。本研究旨在通过生物信息学识别ICI-MC中的关键免疫相关基因,并揭示潜在的治疗靶点。
利用GSE180045数据集,该数据集包含三组——A组:无免疫不良事件的ICI患者,B组:有非心肌炎免疫不良事件的ICI患者,C组:有心肌炎的ICI患者——我们分析了ICI-MC样本(C组)与非心肌炎对照(A组和B组)之间的差异表达基因(DEGs)。随后将这些DEGs与immPort数据库中的1796个免疫相关基因进行交叉参照,以识别免疫相关DEGs。我们进行了功能富集分析(基因本体、京都基因与基因组百科全书、gene set enrichment analysis),构建了蛋白质-蛋白质相互作用网络,并识别了hub基因。利用GSE4172数据集进行验证,从hub基因与DEGs的重叠部分中识别出最优特征基因。预测了靶MicroRNAs(miRNAs),并构建了竞争性内源RNA(ceRNA)网络。利用Connectivity Map数据库预测了hub基因的靶向药物。
我们在ICI-MC与对照组之间鉴定出58个DEGs,与1796个免疫相关基因取交集后,进一步鉴定出32个免疫相关DEGs。功能分析显示这些基因富集于细胞裂解、CD8+ T细胞受体、NK 细胞介导的细胞毒性以及RAGE信号通路。显著上调的枢纽基因包括IL7R、PRF1、GNLY、CD3G、NKG7、GZMH、GZMB、KLRB1、KLRK1和CD247。在验证数据集中,共发现407个DEGs,最终鉴定出3个最优特征基因(KLRB1、NKG7、GZMH)。预测的靶miRNAs、lincRNAs和circRNAs构成了一个全面的ceRNA网络。在连接度评分最高的前10种药物中,乙酰羟肟酸位列其中,提示在ICI治疗中需谨慎使用。
Immune checkpoint inhibitors (ICIs) are widely used in cancer treatment; however, the emergence of ICI-associated myocarditis (ICI-MC) presents a severe and potentially fatal complication with poorly understood pathophysiological mechanisms. This study aimed to identify crucial immune-related genes in ICI-MC and uncover potential therapeutic targets using bioinformatics.
Using the GSE180045 dataset, which includes three groups-Group A: ICI patients without immune adverse events, Group B: ICI patients with non-myocarditis immune adverse events, and Group C: ICI patients with myocarditis-we analyzed differentially expressed genes (DEGs) between ICI-MC samples (Group C) and non-myocarditis controls (Groups A and B). These DEGs were then cross-referenced with 1796 immune-related genes from the immPort database to identify immune-related DEGs. We conducted functional enrichment analyses (Gene Ontology, Kyoto Encyclopedia of Genes and Genomes, gene set enrichment analysis), constructed a protein-protein interaction network, and identified hub genes. Validation using the GSE4172 dataset led to the identification of optimal feature genes from the overlap between hub genes and DEGs. Predictions of target MicroRNAs (miRNAs) were made, and a competing endogenous RNA (ceRNA) network was constructed. Target drugs for hub genes were predicted using the Connectivity Map database.
We identified 58 DEGs between ICI-MC and controls, which led to the identification of 32 immune-related DEGs after intersection with 1796 immune-related genes. Functional analyses revealed enrichment in cell lysis, CD8+ T-cell receptor, natural killer cell-mediated cytotoxicity, and RAGE signaling. Notably upregulated hub genes included IL7R, PRF1, GNLY, CD3G, NKG7, GZMH, GZMB, KLRB1, KLRK1, and CD247. In the validation dataset, 407 DEGs were uncovered, resulting in the identification of 3 optimal feature genes (KLRB1, NKG7, GZMH). The predicted target miRNAs, lincRNAs, and circRNAs constituted a comprehensive ceRNA network. Among the top 10 drugs with elevated connectivity scores was acetohydroxamic acid, indicating a need for caution in ICI treatment.
KG7, GZMH, and KLRB1 were identified as pivotal immune-related genes in ICI-MC. Biological enrichments included pathways involved in cell lysis, the CD8+ T-cell receptor pathway, natural killer cell-mediated cytotoxicity, RAGE signaling, and proinflammatory responses. The ceRNA network illuminated the role of critical molecules and underscored the importance of avoiding drugs such as acetohydroxamic acid in ICI treatment. Key message What is already known on this topic Myocarditis is recognized as a serious ICI-associated toxicity, seemingly infrequent yet often fulminant and lethal. The underlying mechanisms of ICI-associated myocarditis remain not fully understood. Although the significance of T cells and cytotoxic T lymphocyte-associated protein 4 (CTLA-4) is evident, the inciting antigens, the reasons for their recognition, and the mechanisms causing cardiac cell injury are not well characterized. An improved understanding of ICI-associated myocarditis will provide insights into the equilibrium between the immune and cardiovascular systems. What this study adds Our study further validates the significance of T cells and CTLA-4 in ICI-associated myocarditis. More importantly, we identified three genes-NKG7, GZMH, and KLRB1-essential for the development of ICI-MC and proposed ceRNA networks involving these three key genes. How this study might affect research, practice or policy The newly discovered key genes and their intricate molecular interactions offer a comprehensive perspective on the mechanisms underlying ICI-MC. Furthermore, our findings advise caution regarding the use of drugs like acetohydroxamic acid during ICI treatment. As our understanding of these regulatory networks deepens, our study provides valuable insights that could inform future therapeutic strategi
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