Gut microbiota diversity and specific composition during immunotherapy in responders with non-small cell lung cancer

非小细胞肺癌免疫治疗有效患者肠道菌群多样性及特定组成

阅读:1

Abstract

Cancer immunotherapy including immune checkpoint inhibitors (ICI) has revolutionized non-small cell lung cancer (NSCLC) therapy. Recently, the microbiota status "before" initiation of ICI therapy has been emphasized as a predictive biomarker in patients undergoing ICI therapy. However, the microbiota diversity and composition "during" ICI therapy is unknown. This multicenter, prospective observational study analyzed both saliva and feces from 28 patients with NSCLC. We performed 16S ribosomal RNA gene sequencing, then analyzed associations of oral and gut microbiota diversity or composition with ICI response. At the genus level, the alpha diversity of the gut microbiota was significantly greater in responders (n = 17) than in non-responders (n = 11) (Chao 1, p = 0.0174; PD whole tree, p = 0.0219; observed species, p = 0.0238; Shannon, p = 0.0362), while the beta diversity of the gut microbiota was significantly different (principal coordinates analysis, p = 0.035). Compositional differences in the gut microbiota were observed between the two groups; in particular, g_Blautia was enriched in responders, whereas o_RF32 order unclassified was enriched in non-responders. The progression-free survival (PFS) of patients enriched gut microbiota of g_Blautia was significantly longer [median survival time (MST): not reached vs. 549 days, p = 0.0480] and the PFS of patients with gut microbiota of o_RF32 unclassified was significantly shorter (MST: 49 vs. 757 days, p = 0.0205). There were no significant differences between groups in the oral microbiota. This study revealed a strong association between gut microbiota diversity and ICI response in NSCLC patients. Moreover, specific gut microbiota compositions may influence the ICI response. These findings might be useful in identifying biomarkers to predict ICI response.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。