Abstract B24: The microbiome in lung cancer under immunotherapy: Significant compositional differences associated with treatment response and AEs

厚壁菌 微生物群 彭布罗利珠单抗 无容量 医学 阿替唑单抗 免疫疗法 拟杆菌 内科学 癌症 生物 免疫学 生物信息学 遗传学 16S核糖体RNA 细菌
作者
Justin Chau,Meeta Yadav,Muhammad Furqan,Kyle Mercer,Evan Eastman,Shailesh K. Shahi,Qun Dai,Carlos H.F. Chan,George J. Weiner,Taher Abu Hejleh,Ashutosh K. Mangalam,Jun Zhang
出处
期刊:Cancer Research [American Association for Cancer Research]
卷期号:80 (8_Supplement): B24-B24
标识
DOI:10.1158/1538-7445.mvc2020-b24
摘要

Abstract Background: In recent years, attention has shifted to modification of tumor response to immunotherapy via the host microbiome. The mechanisms of these associations, causative or consequential, remain incompletely understood. We seek to explore this further with a longitudinal study of lung cancer patient microbiomes and immunotherapy-related adverse effects (AEs) preceding and during immunotherapy. Methods: Patients with lung cancer (LC) treated with immunotherapy (anti-PD-1/L1 agents including pembrolizumab, nivolumab, atezolizumab, and durvalumab) with or without chemotherapy at the University of Iowa from November 2018–April 2019 were consented for this ongoing study. Fecal samples and nasal and buccal swabs were obtained prior to therapy. Patients were treated and monitored per respective disease protocol; responses were recorded per RECIST 1.1 and AEs per CTCAE 5.0. Samples underwent DNA extraction followed by 16S rRNA metagenomic analysis and taxonomic profiling using Divisive Amplicon Denoising Algorithm (DADA)-2 pipeline. Microbiomes from all body sites were compared and correlated to treatment response and AEs. In addition, baseline LC gut microbiomes were compared to fecal samples provided by healthy controls (HC) in the same geographic location. This project is registered on clinicaltrials.gov (NCT03688347). Results: Gut microbiota significantly differed compared to oral and buccal microbiota in all patients. Gut microbiota from LC patients was compared to HC samples from the same geographic area. LC patients exhibited drastically different baseline composition, including dramatic increases in Firmicutes, Actinobacteria, and Verrucomicrobia, and significant decreases in Bacteroidetes, Proteobacteria, and Cyanobacteria. We noticed a clear inversion of Firmicutes/Bacteroidetes ratio between HC and LC patients, differences also reflected at the genus level. NSCLC patients experiencing immunotherapy-related adverse events were found to have at baseline markedly fewer Bifidobacterium and Desulfovibrio (p < 0.05 and FDR <0.05) when compared to those who did not experience AEs, regardless of grouping parameters (e.g., grade 0 vs. 1-4; 0-1 vs. 2-4; and 0 vs. 1-2 vs. 3-4). In addition, patients who responded to combined immunotherapy and chemotherapy (best response >= PR) exhibited enriched baseline Clostridiales (phylum Firmicutes, p=0.018) but reduced Rikenellaceae (phylum Bacteroidetes, p=0.016). Conclusion: Our study found promising trends in microbiome constitution. Compared to HC, we found significant differences in baseline LC gut microbiome at phylum and genus levels. More importantly, there are notable differences comparing LC patients who suffered AEs to those with none and between immunotherapy responders vs. nonresponders. Our project marks an important first step in a long-term study that could shed new light on the microbiome’s influence on immunotherapy treatment outcomes. Citation Format: Justin J. Chau, Meeta Yadav, Muhammad Furqan, Keri Mercer, Evan Eastman, Shailesh Shahi, Qun Dai, Carlos Chan, George Weiner, Taher Abu Hejleh, Ashutosh Mangalam, Jun Zhang. The microbiome in lung cancer under immunotherapy: Significant compositional differences associated with treatment response and AEs [abstract]. In: Proceedings of the AACR Special Conference on the Microbiome, Viruses, and Cancer; 2020 Feb 21-24; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2020;80(8 Suppl):Abstract nr B24.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
modesty发布了新的文献求助10
刚刚
菜菜鱼完成签到,获得积分10
1秒前
yirenli完成签到,获得积分10
1秒前
冷静完成签到,获得积分10
1秒前
阿树完成签到,获得积分10
2秒前
wang完成签到,获得积分10
2秒前
tramp应助科研通管家采纳,获得10
2秒前
tramp应助科研通管家采纳,获得10
2秒前
tramp应助科研通管家采纳,获得10
2秒前
852应助科研通管家采纳,获得10
2秒前
liaodongjun应助科研通管家采纳,获得10
2秒前
斯文败类应助科研通管家采纳,获得10
2秒前
赘婿应助科研通管家采纳,获得10
2秒前
tramp应助科研通管家采纳,获得10
2秒前
3秒前
zero完成签到,获得积分10
3秒前
xc完成签到,获得积分10
3秒前
huhuan完成签到,获得积分10
4秒前
七里野草完成签到,获得积分10
4秒前
chenbin完成签到,获得积分10
5秒前
冬雪完成签到 ,获得积分10
5秒前
6秒前
千叶伶完成签到,获得积分10
6秒前
Jzhang完成签到,获得积分10
6秒前
mulberry完成签到,获得积分10
6秒前
学术老6完成签到,获得积分10
7秒前
SYLH应助modesty采纳,获得10
9秒前
蔬菜狗狗完成签到,获得积分10
10秒前
10秒前
DJ完成签到,获得积分10
11秒前
wjy完成签到,获得积分10
12秒前
张哈完成签到 ,获得积分10
13秒前
gy发布了新的文献求助10
13秒前
Lvy完成签到,获得积分10
14秒前
14秒前
14秒前
打打应助moxin采纳,获得50
15秒前
魔幻灯泡完成签到,获得积分10
15秒前
11发布了新的文献求助10
16秒前
16秒前
高分求助中
The Mother of All Tableaux Order, Equivalence, and Geometry in the Large-scale Structure of Optimality Theory 2400
Ophthalmic Equipment Market by Devices(surgical: vitreorentinal,IOLs,OVDs,contact lens,RGP lens,backflush,diagnostic&monitoring:OCT,actorefractor,keratometer,tonometer,ophthalmoscpe,OVD), End User,Buying Criteria-Global Forecast to2029 2000
Optimal Transport: A Comprehensive Introduction to Modeling, Analysis, Simulation, Applications 800
Official Methods of Analysis of AOAC INTERNATIONAL 600
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 588
A new approach to the extrapolation of accelerated life test data 500
T/CIET 1202-2025 可吸收再生氧化纤维素止血材料 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3953552
求助须知:如何正确求助?哪些是违规求助? 3499089
关于积分的说明 11093922
捐赠科研通 3229669
什么是DOI,文献DOI怎么找? 1785711
邀请新用户注册赠送积分活动 869476
科研通“疑难数据库(出版商)”最低求助积分说明 801478