基于抗PD-1/PD-L1的胆道癌免疫疗法临床反应的肠道微生物群和代谢物特征。

IF 9.5 2区 医学 Q1 MEDICINE, RESEARCH & EXPERIMENTAL Biomarker Research Pub Date : 2024-06-03 DOI:10.1186/s40364-024-00607-8
Chengpei Zhu, Yunchao Wang, Ruijuan Zhu, Shanshan Wang, Jingnan Xue, Dongya Zhang, Zhou Lan, Chenchen Zhang, Yajun Liang, Nan Zhang, Ziyu Xun, Longhao Zhang, Cong Ning, Xu Yang, Jiashuo Chao, Junyu Long, Xiaobo Yang, Hanping Wang, Xinting Sang, Xianzhi Jiang, Haitao Zhao
{"title":"基于抗PD-1/PD-L1的胆道癌免疫疗法临床反应的肠道微生物群和代谢物特征。","authors":"Chengpei Zhu, Yunchao Wang, Ruijuan Zhu, Shanshan Wang, Jingnan Xue, Dongya Zhang, Zhou Lan, Chenchen Zhang, Yajun Liang, Nan Zhang, Ziyu Xun, Longhao Zhang, Cong Ning, Xu Yang, Jiashuo Chao, Junyu Long, Xiaobo Yang, Hanping Wang, Xinting Sang, Xianzhi Jiang, Haitao Zhao","doi":"10.1186/s40364-024-00607-8","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":54225,"journal":{"name":"Biomarker Research","volume":null,"pages":null},"PeriodicalIF":9.5000,"publicationDate":"2024-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11149318/pdf/","citationCount":"0","resultStr":"{\"title\":\"Gut microbiota and metabolites signatures of clinical response in anti-PD-1/PD-L1 based immunotherapy of biliary tract cancer.\",\"authors\":\"Chengpei Zhu, Yunchao Wang, Ruijuan Zhu, Shanshan Wang, Jingnan Xue, Dongya Zhang, Zhou Lan, Chenchen Zhang, Yajun Liang, Nan Zhang, Ziyu Xun, Longhao Zhang, Cong Ning, Xu Yang, Jiashuo Chao, Junyu Long, Xiaobo Yang, Hanping Wang, Xinting Sang, Xianzhi Jiang, Haitao Zhao\",\"doi\":\"10.1186/s40364-024-00607-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>\",\"PeriodicalId\":54225,\"journal\":{\"name\":\"Biomarker Research\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":9.5000,\"publicationDate\":\"2024-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11149318/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Biomarker Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s40364-024-00607-8\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biomarker Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s40364-024-00607-8","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
引用次数: 0

摘要

背景:越来越多的证据表明,肠道微生物群和代谢物可调节肿瘤对免疫疗法的反应;然而,有关胆道癌(BTC)的数据报道却很有限。本研究利用元基因组学和代谢组学来确定免疫治疗BTC患者肠道微生物组和代谢物的特征及其作为预后和预测性生物标志物的潜力:这项前瞻性队列研究从2018年11月至2022年5月招募了88名接受PD-1/PD-L1抑制剂治疗的BTC患者。通过元基因组学和LC-MS/MS鉴定了不同免疫治疗反应组中显著富集的微生物群和代谢物。探讨了微生物群与代谢物、微生物群与临床因素、代谢物与临床因素之间的关联:结果:在持久临床获益组(DCB)和非持久临床获益组(NDB)中都发现了明显不同的细菌及其代谢物。其中,20 种细菌和两种代谢物与存活率显著相关。螺旋体与存活率呈正相关,而芽孢杆菌、乳酸杆菌和吡咯烷与存活率呈负相关。基于 6 种细菌、4 种代谢物以及 3 种细菌和 2 种代谢物组合的预测模型都能准确区分 DCB 组和 NDB 组患者。两组患者的 Beta 多样性存在显著差异,且其组成随使用免疫疗法的不同而变化:结论:接受免疫疗法的 BTC 患者在微生物群与代谢物之间的相互作用中存在特定的改变。这些发现表明,肠道微生物群和代谢物是抗PD-1/PD-L1治疗的BTC临床预后的潜在预后和预测生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Gut microbiota and metabolites signatures of clinical response in anti-PD-1/PD-L1 based immunotherapy of biliary tract cancer.

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Biomarker Research
Biomarker Research Biochemistry, Genetics and Molecular Biology-Molecular Medicine
CiteScore
15.80
自引率
1.80%
发文量
80
审稿时长
10 weeks
期刊介绍: Biomarker Research, an open-access, peer-reviewed journal, covers all aspects of biomarker investigation. It seeks to publish original discoveries, novel concepts, commentaries, and reviews across various biomedical disciplines. The field of biomarker research has progressed significantly with the rise of personalized medicine and individual health. Biomarkers play a crucial role in drug discovery and development, as well as in disease diagnosis, treatment, prognosis, and prevention, particularly in the genome era.
期刊最新文献
Comparison and combination of mutation and methylation-based urine tests for bladder cancer detection. Advances in CAR-T therapy for central nervous system tumors. The double-edged role and therapeutic potential of TREM2 in atherosclerosis. Copper homeostasis and copper-induced cell death in tumor immunity: implications for therapeutic strategies in cancer immunotherapy. Targeting NOX2 and glycolytic metabolism as a therapeutic strategy in acute myeloid leukaemia.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1