Intestinal microbiota signatures of clinical response and immune-related adverse events in melanoma patients treated with anti-PD-1

不利影响 黑色素瘤 免疫学 免疫系统 医学 内科学 癌症研究
作者
John A. McCulloch,Diwakar Davar,Richard R. Rodrigues,Jonathan H. Badger,Jennifer R. Fang,Alicia M. Cole,Ascharya K. Balaji,Marie Vétizou,Stephanie Prescott,Miriam R. Fernandes,Raquel Costa,Wuxing Yuan,Rosalba Salcedo,Erol Bahadiroglu,Soumen Roy,Richelle DeBlasio,Robert M. Morrison,Joë-Marc Chauvin,Quanquan Ding,Bochra Zidi
出处
期刊:Nature Medicine [Nature Portfolio]
卷期号:28 (3): 545-556 被引量:420
标识
DOI:10.1038/s41591-022-01698-2
摘要

Ample evidence indicates that the gut microbiome is a tumor-extrinsic factor associated with antitumor response to anti-programmed cell death protein-1 (PD-1) therapy, but inconsistencies exist between published microbial signatures associated with clinical outcomes. To resolve this, we evaluated a new melanoma cohort, along with four published datasets. Time-to-event analysis showed that baseline microbiota composition was optimally associated with clinical outcome at approximately 1 year after initiation of treatment. Meta-analysis and other bioinformatic analyses of the combined data show that bacteria associated with favorable response are confined within the Actinobacteria phylum and the Lachnospiraceae/Ruminococcaceae families of Firmicutes. Conversely, Gram-negative bacteria were associated with an inflammatory host intestinal gene signature, increased blood neutrophil-to-lymphocyte ratio, and unfavorable outcome. Two microbial signatures, enriched for Lachnospiraceae spp. and Streptococcaceae spp., were associated with favorable and unfavorable clinical response, respectively, and with distinct immune-related adverse effects. Despite between-cohort heterogeneity, optimized all-minus-one supervised learning algorithms trained on batch-corrected microbiome data consistently predicted outcomes to programmed cell death protein-1 therapy in all cohorts. Gut microbial communities (microbiotypes) with nonuniform geographical distribution were associated with favorable and unfavorable outcomes, contributing to discrepancies between cohorts. Our findings shed new light on the complex interaction between the gut microbiome and response to cancer immunotherapy, providing a roadmap for future studies. Integrated analysis of microbiome and host cell transcriptional data on clinically annotated cohorts of patients with melanoma who were treated with anti-programmed cell death protein-1, uncovers new associations of streptococcus species with immune-related adverse effects and finds consistent microbiome associations with clinical outcomes.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
今后应助白羽采纳,获得10
刚刚
刚刚
星线发布了新的文献求助10
1秒前
1秒前
1秒前
2秒前
cheng233应助xiao采纳,获得10
3秒前
跳跃谷丝完成签到,获得积分10
3秒前
情怀应助xiao采纳,获得10
3秒前
leisure完成签到,获得积分10
4秒前
5秒前
5秒前
夕茟发布了新的文献求助10
6秒前
啥也不会完成签到,获得积分10
6秒前
跳跃谷丝发布了新的文献求助10
6秒前
growup发布了新的文献求助10
7秒前
wxy发布了新的文献求助10
8秒前
8秒前
9秒前
10秒前
10秒前
12秒前
YUE发布了新的文献求助10
15秒前
天天快乐应助oucedv采纳,获得10
15秒前
四羟基合铝酸钾完成签到,获得积分10
18秒前
大意的博发布了新的文献求助10
19秒前
Sundstein完成签到,获得积分10
19秒前
韩琳发布了新的文献求助10
21秒前
白羽发布了新的文献求助10
21秒前
NOV发布了新的文献求助10
22秒前
23秒前
大意的博完成签到,获得积分10
23秒前
脑洞疼应助李大锤采纳,获得10
24秒前
李健应助科研通管家采纳,获得10
25秒前
丘比特应助科研通管家采纳,获得10
25秒前
Copyright应助科研通管家采纳,获得10
25秒前
科目三应助科研通管家采纳,获得10
25秒前
空勒应助科研通管家采纳,获得10
25秒前
唐清羽应助科研通管家采纳,获得10
25秒前
丘比特应助科研通管家采纳,获得10
25秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7280782
求助须知:如何正确求助?哪些是违规求助? 8901905
关于积分的说明 18830575
捐赠科研通 6952618
什么是DOI,文献DOI怎么找? 3207462
关于科研通互助平台的介绍 2377684
邀请新用户注册赠送积分活动 2182560