Suppr超能文献

TIGIT NK 细胞与特定肠道微生物群特征相结合可预测黑色素瘤患者对检查点抑制剂治疗的反应。

TIGIT NK cells in combination with specific gut microbiota features predict response to checkpoint inhibitor therapy in melanoma patients.

机构信息

Department I of Internal Medicine, University Hospital Cologne, University of Cologne, Cologne, Germany.

German Center for Infection Research (DZIF), Partner site Bonn-Cologne, Cologne, Germany.

出版信息

BMC Cancer. 2023 Nov 28;23(1):1160. doi: 10.1186/s12885-023-11551-5.

Abstract

BACKGROUND

Composition of the intestinal microbiota has been correlated to therapeutic efficacy of immune checkpoint inhibitors (ICI) in various cancer entities including melanoma. Prediction of the outcome of such therapy, however, is still unavailable. This prospective, non-interventional study was conducted in order to achieve an integrated assessment of the connection between a specific intestinal microbiota profile and antitumor immune response to immune checkpoint inhibitor therapy (anti-PD-1 and/or anti-CTLA-4) in melanoma patients.

METHODS

We assessed blood and stool samples of 29 cutaneous melanoma patients who received immune checkpoint inhibitor therapy. For functional and phenotypical immune analysis, 12-color flow cytometry and FluoroSpot assays were conducted. Gut microbiome was analyzed with shotgun metagenomics sequencing. To combine clinical, microbiome and immune variables, we applied the Random Forest algorithm.

RESULTS

A total of 29 patients was analyzed in this study, among whom 51.7% (n = 15) reached a durable clinical benefit. The Immune receptor TIGIT is significantly upregulated in T cells (p = 0.0139) and CD56 NK cells (p = 0.0037) of responders. Several bacterial taxa were associated with response (e.g. Ruminococcus torques) or failure (e.g. Barnesiella intestinihominis) to immune therapy. A combination of two microbiome features (Barnesiella intestinihominis and the Enterobacteriaceae family) and one immune feature (TIGIT CD56 NK cells) was able to predict response to ICI already at baseline (AUC = 0.85; 95% CI: 0.841-0.853).

CONCLUSIONS

Our results reconfirm a link between intestinal microbiota and response to ICI therapy in melanoma patients and furthermore point to TIGIT as a promising target for future immunotherapies.

摘要

背景

肠道微生物群的组成与包括黑色素瘤在内的各种癌症实体的免疫检查点抑制剂(ICI)的治疗效果相关。然而,这种治疗效果的预测仍然不可用。本前瞻性、非干预性研究旨在综合评估特定肠道微生物群谱与黑色素瘤患者接受免疫检查点抑制剂治疗(抗 PD-1 和/或抗 CTLA-4)的抗肿瘤免疫反应之间的联系。

方法

我们评估了 29 名接受免疫检查点抑制剂治疗的皮肤黑色素瘤患者的血液和粪便样本。为了进行功能和表型免疫分析,我们进行了 12 色流式细胞术和 FluoroSpot 测定。使用 shotgun 宏基因组测序分析肠道微生物组。为了结合临床、微生物组和免疫变量,我们应用了随机森林算法。

结果

本研究共分析了 29 例患者,其中 51.7%(n=15)达到了持久的临床获益。应答者的 T 细胞(p=0.0139)和 CD56 NK 细胞(p=0.0037)中免疫受体 TIGIT 显著上调。一些细菌分类群与免疫治疗的反应(如 Ruminococcus torques)或失败(如 Barnesiella intestinihominis)相关。两种微生物群特征(Barnesiella intestinihominis 和肠杆菌科)和一种免疫特征(TIGIT CD56 NK 细胞)的组合已经能够在基线时预测对 ICI 的反应(AUC=0.85;95%CI:0.841-0.853)。

结论

我们的结果再次证实了肠道微生物群与黑色素瘤患者对 ICI 治疗反应之间的联系,并且进一步指出 TIGIT 是未来免疫治疗的一个有前途的靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/985c/10685659/c6a6f516eea4/12885_2023_11551_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验