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:Integrated single cell and bulk sequencing analysis identifies tumor reactive CXCR6(+) CD8 T cells as a predictor of immune infiltration and immunotherapy outcomes in hepatocellular carcinoma.
Integrated single cell and bulk sequencing analysis identifies tumor reactive CXCR6(+) CD8 T cells as a predictor of immune infiltration and immunotherapy outcomes in hepatocellular carcinoma.
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肝细胞癌(HCC)肿瘤微环境(TME)中的多种免疫细胞类型已被确定为与预后和免疫治疗反应相关的重要参数。然而,各种因素如何影响免疫细胞浸润仍不完全清楚。因此,我们研究了HCC中免疫浸润的单细胞多组学景观,特别是影响免疫浸润的关键基因和细胞亚群,从而可能将免疫治疗反应与免疫细胞浸润联系起来。
我们根据单样本基因集富集分析(ssGSEA)计算的免疫细胞浸润评分对HCC患者进行分组。采用差异表达分析、功能富集、临床特征关联、基因突变分析、肿瘤免疫功能障碍与排斥(TIDE)及预后模型构建,通过多组学探究免疫浸润景观。进一步采用逐步回归识别调控免疫浸润的关键基因。进行单细胞分析以探究候选基因的表达模式并研究相关细胞群体。采用相关性分析、ROC分析、免疫治疗队列探究并确认关键基因和细胞群体在预测免疫浸润状态和免疫治疗反应中的作用。采用免疫组化和多重荧光染色进一步验证我们的结果。
HCC 患者被聚类为高免疫浸润组和低免疫浸润组。CTNNB1 和 TTN 的突变与免疫浸润以及 TME 中细胞群体富集改变显著相关。TIDE 分析表明,T 细胞功能障碍和 T 细胞排斥评分分别在高浸润组和低浸润组中升高。识别出六个风险基因和五种风险免疫细胞类型,并用于构建风险评分和列线图模型。通过逐步回归识别出的 CXCR6 和 LTA 与免疫浸润高度相关。单细胞分析显示,LTA 主要在肿瘤浸润 T 淋巴细胞和部分 B 淋巴细胞中表达,而 CXCR6 主要富集于 T 细胞和 NK 细胞。值得注意的是,CXCR6 + CD8 T 细胞被表征为肿瘤富集细胞,可能是高免疫浸润和免疫检查点阻断反应的潜在预测因子,并可能作为治疗靶点。
我们构建了HCC中免疫浸润的全面单细胞和多组学图谱,并描绘了调控免疫浸润和免疫治疗反应的关键基因和细胞群体,从而为免疫浸润机制和未来治疗控制提供了见解。
Various immune cell types in the tumor microenvironment (TME) of hepatocellular carcinoma (HCC) have been identified as important parameters associated with prognosis and responsiveness to immunotherapy. However, how various factors influence immune cell infiltration remains incompletely understood. Hence, we investigated the single cell multi-omics landscape of immune infiltration in HCC, particularly key gene and cell subsets that influence immune infiltration, thus potentially linking the immunotherapy response and immune cell infiltration.
We grouped patients with HCC according to immune cell infiltration scores calculated by single sample gene set enrichment analysis (ssGSEA). Differential expression analysis, functional enrichment, clinical trait association, gene mutation analysis, tumor immune dysfunction and exclusion (TIDE) and prognostic model construction were used to investigate the immune infiltration landscape through multi-omics. Stepwise regression was further used to identify key genes regulating immune infiltration. Single cell analysis was performed to explore expression patterns of candidate genes and investigate associated cellular populations. Correlation analysis, ROC analysis, Immunotherapy cohorts were used to explore and confirm the role of key gene and cellular population in predicting immune infiltration state and immunotherapy response. Immunohistochemistry and multiplexed fluorescence staining were used to further validated our results.
Patients with HCC were clustered into high and low immune infiltration groups. Mutations of CTNNB1 and TTN were significantly associated with immune infiltration and altered enrichment of cell populations in the TME. TIDE analysis demonstrated that T cell dysfunction and the T cell exclusion score were elevated in the high and low infiltration groups, respectively. Six risk genes and five risk immune cell types were identified and used to construct risk scores and a nomogram model. CXCR6 and LTA, identified by stepwise regression, were highly associated with immune infiltration. Single cell analysis revealed that LTA was expressed primarily in tumor infiltrating T lymphocytes and partial B lymphocytes, whereas CXCR6 was enriched predominantly in T and NK cells. Notably, CXCR6 + CD8 T cells were characterized as tumor enriched cells that may be potential predictors of high immune infiltration and the immune-checkpoint blockade response, and may serve as therapeutic targets.
We constructed a comprehensive single cell and multi-omics landscape of immune infiltration in HCC, and delineated key genes and cellular populations regulating immune infiltration and immunotherapy response, thus providing insights into the mechanisms of immune infiltration and future therapeutic control.
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