Author:
Zhu Chengpei,Wang Yunchao,Zhu Ruijuan,Wang Shanshan,Xue Jingnan,Zhang Dongya,Lan Zhou,Zhang Chenchen,Liang Yajun,Zhang Nan,Xun Ziyu,Zhang Longhao,Ning Cong,Yang Xu,Chao Jiashuo,Long Junyu,Yang Xiaobo,Wang Hanping,Sang Xinting,Jiang Xianzhi,Zhao Haitao
Abstract
Abstract
Background
Accumulating evidence suggests that the gut microbiota and metabolites can modulate tumor responses to immunotherapy; however, limited data has been reported on biliary tract cancer (BTC). This study used metagenomics and metabolomics to identify characteristics of the gut microbiome and metabolites in immunotherapy-treated BTC and their potential as prognostic and predictive biomarkers.
Methods
This prospective cohort study enrolled 88 patients with BTC who received PD-1/PD-L1 inhibitors from November 2018 to May 2022. The microbiota and metabolites significantly enriched in different immunotherapy response groups were identified through metagenomics and LC-MS/MS. Associations between microbiota and metabolites, microbiota and clinical factors, and metabolites and clinical factors were explored.
Results
Significantly different bacteria and their metabolites were both identified in the durable clinical benefit (DCB) and non-durable clinical benefit (NDB) groups. Of these, 20 bacteria and two metabolites were significantly associated with survival. Alistipes were positively correlated with survival, while Bacilli, Lactobacillales, and Pyrrolidine were negatively correlated with survival. Predictive models based on six bacteria, four metabolites, and the combination of three bacteria and two metabolites could all discriminated between patients in the DCB and NDB groups with high accuracy. Beta diversity between two groups was significantly different, and the composition varied with differences in the use of immunotherapy.
Conclusions
Patients with BTC receiving immunotherapy have specific alterations in the interactions between microbiota and metabolites. These findings suggest that gut microbiota and metabolites are potential prognostic and predictive biomarkers for clinical outcomes of anti-PD-1/PD-L1-treated BTC.
Funder
CAMS Innovation Fund for Medical Sciences
CSCO-hengrui Cancer Research Fund
National High Level Hospital Clinical Research Funding
CSCO-MSD Cancer Research Fund
National Ten-thousand Talent Program
Publisher
Springer Science and Business Media LLC
Cited by
1 articles.
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