γδ T 细胞调节小细胞肺癌中的抗肿瘤免疫
γδ T cells modulate anti-tumor immunity in small cell lung cancer.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Tumor-infiltrating γδ T cells as targets of immune checkpoint blockade in melanoma.
Tumor-infiltrating γδ T cells as targets of immune checkpoint blockade in melanoma.
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黑色素瘤是对免疫调节最敏感的肿瘤之一,而黑色素瘤患者生存的主要挑战是免疫检查点抑制剂(ICI)治疗。γδ T淋巴细胞在包括黑色素瘤在内的多种肿瘤中发挥抗肿瘤作用,是细胞免疫治疗的最佳候选者。
因此,本研究对黑色素瘤背景下γδ T细胞与免疫检查点受体之间的相关性进行了全面分析,旨在设计一种创新的联合免疫治疗策略。
在本研究中,利用GEPIA2.0数据库,观察到γδ T细胞相关基因(TRGC1、TRGC2、TCRD)的表达与免疫检查点基因(PDCD1、HAVCR2、LAG3)之间存在显著正相关,突显了γδ T细胞在黑色素瘤免疫反应中的潜在作用。
此外,流式细胞术分析揭示了黑色素瘤病灶内γδ T细胞群体显著增加,其表达免疫检查点受体包括LAG3、TIM3和PD1。单细胞RNA测序数据分析显示,γδ T细胞簇在ICI作用下出现显著富集和功能重编程。有趣的是,ICI治疗的效果在Vδ1和Vδ2 γδ T细胞亚群之间存在差异,基因表达模式发生了不同的变化。
最后,对黑色素瘤患者中γδ T细胞丰度、免疫检查点基因表达与临床结局之间的相关性分析显示,免疫检查点基因(包括LAG3、HAVCR2和PDCD1)的低表达与1年总生存期改善相关,强调了这些基因在预测患者结局中的重要性,其影响可能超过γδ T细胞丰度的影响。
本研究为γδ T细胞、免疫检查点受体与黑色素瘤之间的动态相互作用提供了关键见解,为这一复杂相互作用中的潜在治疗途径和预测标志物提供了有价值的视角。
Melanoma is one of the most sensitive tumors to immune modulation, and the major challenge for melanoma patients' survival is immune checkpoint inhibitor (ICI) therapy. γδ T lymphocytes play an antitumoral role in a broad variety of tumors including melanoma and they are optimal candidates for cellular immunotherapy.
Thus, a comprehensive analysis of the correlation between γδ T cells and immune checkpoint receptors in the context of melanoma was conducted, with the aim of devising an innovative combined immunotherapeutic strategy. In this study, using the GEPIA2. 0 database, a significant positive correlation was observed between the expression of γδ T cell-related genes (TRGC1, TRGC2, TCRD) and immune checkpoint genes (PDCD1, HAVCR2, LAG3), highlighting the potential role of γδ T cells in the immune response within melanoma.
Moreover, flow cytometry analysis unveiled a significant augmentation in the population of γδ T cells within melanoma lesions, which exhibited the expression of immune checkpoint receptors including LAG3, TIM3, and PD1. Analysis of single-cell RNA sequencing data revealed a significant enrichment and functional reprogramming of γδ T cell clusters in response to ICIs. Interestingly, the effects of ICI therapy varied between Vδ1 and Vδ2 γδ T cell subsets, with distinct changes in gene expression patterns.
Last, a correlation analysis between γδ T cell abundance, immune checkpoint gene expression, and clinical outcomes in melanoma patients showed that low expression of immune checkpoint genes, including LAG3, HAVCR2, and PDCD1, was associated with improved 1-year overall survival, emphasizing the significance of these genes in predicting patient outcomes, potentially outweighing the impact of γδ T cell abundance.
This study offers critical insights into the dynamic interaction between γδ T cells, immune checkpoint receptors, and melanoma, providing valuable perspectives for potential therapeutic avenues and predictive markers in this intricate interplay.
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