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:Predictive Panel for Immunotherapy in Low-Grade Glioma.
Predictive Panel for Immunotherapy in Low-Grade Glioma.
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我们获得了 3 种可靠的免疫亚型,其中 IS2 亚型患者适合接受免疫治疗,在 LGG 组中 NAMPT、SLC11A1、TNC、VIM 和 SPP1 是 ICB 的预测性 panel 标志物。我们的发现为 LGG 患者的免疫治疗选择和预后预测提供了依据。
低级别胶质瘤(LGG)的主要治疗仍然是手术切除后辅以放疗和/或化疗,这具有一定的局限性,包括副作用和耐药性。免疫治疗是LGG的一种有前景的治疗方法,但通常受到肿瘤微环境的阻碍,其中肿瘤抗原表达有限。
我们整合了RNA测序数据集和临床信息,并进行了聚类分析,以探索最适合免疫检查点治疗的患者。使用基因集富集分析、UMAP分析、突变相关性分析、TIMER分析和TIDE分析来识别3种免疫亚型的免疫特征以及5种抗原作为免疫检查点标志物的可行性。
我们分析了3种免疫亚型的同源重组修复基因(HRR)的分离和突变情况,3种亚型的HRR基因明显分离。其中,IS2亚型具有大量HRR基因突变,这增加了肿瘤的免疫原性——这与3种免疫亚型的肿瘤突变负荷分析结果一致。随后我们评估了免疫亚型的免疫细胞浸润情况,发现IS2和IS3亚型富含免疫细胞。值得注意的是,IS1亚型中存在大量Treg细胞和NK细胞。此外,在分析3种亚型的免疫检查点基因表达时,我们发现与其他亚型相比,它们在IS2亚型中上调最为明显。之后,当我们进一步证实免疫相关基因在LGG中的作用时;通过TIDE分析和TISIDB分析,我们获得了5个可预测LGG患者ICB疗效的标志物。此外,我们通过生存分析证实它们与不良预后相关。
The main treatment of low-grade glioma (LGG) is still surgical resection followed by radiotherapy and/or chemotherapy, which has certain limitations, including side effects and drug resistance. Immunotherapy is a promising treatment for LGG, but it is generally hindered by the tumor microenvironment with the limited expression of tumor antigens.
We integrated RNA sequencing data sets and clinical information and conducted consistent cluster analysis to explore the most suitable patients for immune checkpoint therapy. Gene set enrichment analysis, UMAP analysis, mutation correlation analysis, TIMER analysis, and TIDE analysis were used to identify the immune characteristics of 3 immune subtypes and the feasibility of 5 antigens as immune checkpoint markers.
We analyzed the isolation and mutation of homologous recombination repair genes (HRR) of the 3 immune subtypes, and the HRR genes of the 3 subtypes were obviously segregated. Among them, the IS2 subtype has a large number of HRR gene mutations, which increases the immunogenicity of tumors-this is consistent with the results of tumor mutation load analysis of 3 immune subtypes. Then we evaluated the immune cell infiltration of immune subtypes and found that IS2 and IS3 subtypes were rich in immune cells. It is worth noting that there are many Treg cells and NK cells in the IS1 subtype. In addition, when analyzing the immune checkpoint gene expression of the 3 subtypes, we found that they were upregulated most in IS2 subtypes compared with other subtypes. Then when we further confirmed the role of immune-related genes in LGG; through TIDE analysis and TISIDB analysis, we obtained 5 markers that can predict the efficacy of ICB in patients with LGG. In addition, we confirmed that they were associated with poor prognosis through survival analysis.
We obtained 3 reliable immune subtypes, and patients with the IS2 subtype are suitable for immunotherapy, in which NAMPT, SLC11A1, TNC, VIM, and SPP1 are predictive panel markers for ICB in the LGG group. Our findings provide a rationale for immunotherapy selection and prediction of patient prognosis in LGG patients.
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