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:Single-cell data revealed the function of natural killer cells and macrophage cells in chemotherapy tolerance in acute myeloid leukemia.
Single-cell data revealed the function of natural killer cells and macrophage cells in chemotherapy tolerance in acute myeloid leukemia.
分数与星级只用于站内排序 —— 不代表疗效、安全性或个人适用性。
本研究通过分析单细胞 RNA 测序数据,揭示了 NK 细胞和巨噬细胞在 AML 化疗耐药中的潜在作用。
急性髓系白血病(AML)在成人急性白血病中常见且具有高度异质性。当前AML化疗常面临耐药问题,而AML免疫细胞在调控药物耐药中发挥重要作用。因此,探索AML中免疫细胞的调控机制,对缓解化疗耐药具有重要意义。
本研究基于AML单细胞转录组数据,比较化疗后完全缓解组(CR)与未完全缓解组(non-CR)患者的免疫细胞亚群及标志基因表达差异。研究使用clusterProfiler进行功能富集分析,以揭示差异表达基因(DEG)的调控功能;使用AUCell富集评分评估免疫细胞的免疫调节功能;通过拟时序分析构建免疫细胞分化轨迹;利用CellChat进行细胞通讯分析,阐明免疫细胞间相互作用。使用R软件包“survival”进行生存分析,评估免疫细胞标志基因对AML预后的作用。最后开展伤口愈合及Transwell实验。
单细胞聚类分析显示,non-CR AML患者的NK/T细胞和巨噬细胞亚群显著多于CR患者。AUCell富集分析发现,FCAR+和FCGR3A+巨噬细胞在non-CR组活性显著增强,并与调控细胞能量代谢及免疫细胞活性的过程相关。CR与non-CR组之间差异表达的NK细胞标志基因主要包括HBA1、S100A8和S100A9,这些基因与癌症药物耐药调控有关。FCAR、FCGR3A、PREX1、S100A8和S100A9等标志基因在人慢性髓性白血病细胞系HAP1中表达上调;敲低S100A8会影响HAP1细胞迁移和侵袭。尤其是,non-CR患者的巨噬细胞和NK细胞分化通路与CR组不同。细胞通讯分析显示,NK细胞与巨噬细胞之间的配体-受体组合主要包括HLA-E-KLRK1、HLA-E-KLRC1、HLA-E-CD94:NKG2A及CLEC2B-KLRB1。此外,两类免疫细胞之间的LGALS9-CD45、CCL3L1-CCR1和CCL3-CCR1信号主要调控分泌性信号传导,介导AML进展。NK/T细胞及巨噬细胞中的标志基因与AML预后显著相关。
通过单细胞RNA测序数据分析,本研究揭示了NK细胞和巨噬细胞在AML化疗耐药中的潜在作用,为理解免疫细胞在AML治疗中的关键机制提供了新思路。
Acute myeloid leukemia (AML) is highly prevalent and heterogeneous among adult acute leukemias. Current chemotherapeutic approaches for AML often face the challenge of drug resistance, and AML immune cells play an important role in the regulation of AML drug resistance. Thus, it is of key significance to explore the regulatory mechanisms of immune cells in AML to alleviate chemotherapy resistance in AML.
Based on AML single-cell transcriptomic data, this study revealed the differences in the expression of immune cell subpopulations and marker genes in AML patients in the complete remission group (CR) compared to AML patients in the non-complete remission group (non-CR) after chemotherapy. Functional enrichment by clusterprofiler revealed the regulatory functions of differentially expressed genes (DEGs) in AML. AUCell enrichment scores were used to assess the immunoregulatory functions of immune cells. Pseudotime analysis was used to construct immune cell differentiation trajectories. CellChat was used for cellular communication analysis to elucidate the interactions between immune cells. Survival analysis with the R package "survival" revealed the role of immune cell marker genes on AML prognosis. Finally, the wound healing and trans-well assay were performed.
Single-cell clustering analysis revealed that NK/T cells and macrophage cells subpopulations were significantly higher in non-CR AML patients than in CR AML. AUCell enrichment analysis revealed that FCAR+ and FCGR3A+ macrophages were significantly more active in the non-CR group and correlated with processes regulating cellular energy metabolism and immune cell activity. Differentially expressed NK cell marker genes between CR and non-CR groups mainly included HBA1 , S100A8 , and S100A9 , which were associated with cancer drug resistance regulation, these marker genes of ( FCAR , FCGR3A , PREX1 , S100A8 and S100A9 ) were upregulated in human chronic myeloid leukemia cells (HAP1) and silencing of S100A8 affected migration and invasion of HAP1 cells. In particular, the differentiation pathways of macrophages and NK cells in non-CR differed from those of patients in the CR group. Cellular communication analyses showed that ligand-receptor pairs between NK cells and macrophage cells mainly included HLA-E-KLRK1, HLA-E-KLRC1, HLA-E-CD94:NKG2A, CLEC2B-KLRB1. In addition, LGALS9-CD45, CCL3L1- CCR1, CCL3-CCR1 between these two immune cells mainly regulate secreted signaling to mediate AML progression. Marker genes in NK/T cells and macrophage cells were significantly associated with AML prognosis.
This study reveals the potential role of NK cells and macrophages in AML chemoresistance through the analysis of single-cell RNA sequencing data. This provides new ideas and insights into the key mechanisms of immune cells in AML treatment.
在 PubMed 查看 → 出版商原文(DOI) 全文 PDF(PMC)· 可下载 治疗专题与资料阅读指南 资料来源与翻译说明 报告译文或资料问题 →
MEMBER ACCOUNT
登录成功会直接打开下一页。