Th1细胞诱导IFNγ应答提高胃癌免疫治疗疗效。

Qi Cao, Ruidong Xue, Ning Zhang
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摘要

目的:肿瘤免疫治疗近年来取得了显著进展,但由于肿瘤微环境的复杂性和缺乏有效的生物标志物,其治疗胃癌的有效性往往受到限制。本研究旨在通过表征肿瘤微环境来确定免疫治疗的有效生物标志物。方法:我们检索了接受pembrolizumab治疗的程序性死亡1 (PD-1)阻滞剂胃癌患者的RNA-seq数据。通过基因本体(GO)和京都基因与基因组百科全书(KEGG)通路分析,鉴定并进一步分析与临床结果相关的差异表达基因。通过单样本基因集富集分析(ssGSEA)计算基因签名评分。利用xCell网站定量免疫细胞浸润水平。采用细胞类型富集分析比较治疗反应组和无反应组,并采用回归分析探讨干扰素γ (IFNγ)免疫反应与免疫细胞浸润的关系。使用最小绝对收缩和选择算子(LASSO)分析确定生物标志物。结果:与正常组织相比,胃肿瘤细胞因子活性和白细胞介素-6的产生高度激活。派姆单抗应答者显示IFNγ应答相关基因的表达显著上调。细胞类型富集分析显示,应答者的肿瘤微环境中Th1细胞显著富集。回归分析表明,Th1细胞诱导IFNγ反应的效率高于其他细胞类型。利用Th1细胞、基质细胞和IFNγ反应的特征,确定了一组8个基因,可以有效预测免疫治疗的疗效和患者预后。结论:Th1细胞通过促进IFNγ免疫应答,促进PD-1阻断在胃癌中的治疗效果。所鉴定的生物标志物具有提高胃癌患者免疫治疗有效性的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Th1 cells inducing IFNγ response improves immunotherapy efficacy in gastric cancer.

Objective: Cancer immunotherapy has made remarkable advances in recent years, but its effectiveness in treating gastric cancer is often limited by the complexity of the tumor microenvironment and the lack of effective biomarkers. This study aimed to identify effective biomarkers for immunotherapy treatment by characterizing the tumor microenvironment.

Methods: We retrieved the RNA-seq data from gastric cancer patients treated with the programmed death 1 (PD-1) blockade pembrolizumab. Differentially expressed genes associated with clinical outcomes were identified and further analyzed using gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis. Gene signature scores were calculated by single sample Gene Set Enrichment Analysis (ssGSEA). The infiltration levels of immune cells were quantified using the xCell website. Cell type enrichment analysis was performed to compare treatment response and non-response groups, and regression analysis was used to investigate the relationship between interferon gamma (IFNγ) immune response and immune cell infiltration. Biomarkers were identified using least absolute shrinkage and selection operator (LASSO) analysis.

Results: Compared to normal tissues, cytokine activity and interleukin-6 production were highly activated in gastric tumors. Responders to pembrolizumab showed significantly up-regulated expression of IFNγ response-related genes. Cell type enrichment analysis revealed that Th1 cells were significantly enriched in the tumor microenvironment of responders. Regression analysis indicated that Th1 cells induced IFNγ response more efficiently than other cell types. Using signatures of Th1 cells, stromal cells and IFNγ response, a set of eight genes were identified that effectively predicted the efficacy of immunotherapy treatment and patient prognosis.

Conclusions: Th1 cells promote therapeutic efficacy of PD-1 blockade by promoting IFNγ immune response in gastric cancer. The identified biomarkers have the potential to improve the effectiveness of immunotherapy treatment for gastric cancer patients.

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