Discovery and validation of potential bacterial biomarkers for lung cancer.

维管菌 嗜盖细胞 肺癌 腺癌 医学 唾液 病理 癌症 内科学 胃肠病学 生物 免疫学 细菌 链球菌 遗传学
作者
Xueqi Yan,Mingxia Yang,Juan Liu,Ruichen Gao,Jihong Hu,Jiong Li,Lijun Zhang,Yujia Shi,Hongrong Guo,Jinquan Cheng,Miriam Razi,Shanchen Pang,Xiaowei Yu,Shen Hu
出处
期刊:PubMed 卷期号:5 (10): 3111-22 被引量:123
链接
标识
摘要

Microbes are residents in a number of body sites, including the oral and nasal cavities, which are connected to the lung via the pharynx. The associations between oral diseases and increased risk of lung cancer have been reported in previous prospective studies. In this study, we measured variations of salivary microbiota and evaluated their potential association with lung cancer, including squamous cell carcinoma (SCC) and adenocarcinoma (AC). A three-phase study was performed: First, we investigated the salivary microbiota from 20 lung cancer patients (10 SCC and 10 AC) and control subjects (n=10) using a deep sequencing analysis. Salivary Capnocytophaga, Selenomonas, Veillonella and Neisseria were found to be significantly altered in patients with SCC and AC when compared to that in control subjects. Second, we confirmed the significant changes of Capnocytophaga, Veillonella and Neisseria in the same lung cancer patients using quantitative PCR (qPCR). Finally, these bacterial species were further validated on new patient/control cohorts (n=56) with qPCR. The combination of two bacterial biomarkers, Capnocytophaga and Veillonella, yielded a receiver operating characteristic (ROC) value of 0.86 with an 84.6% sensitivity and 86.7% specificity in distinguishing patients with SCC from control subjects and a ROC value of 0.80 with a 78.6% sensitivity and 80.0% specificity in distinguishing patients with AC from control subjects. In conclusion, we have for the first time demonstrated the association of saliva microbiota with lung cancer. Particularly, the combination of the 16S sequencing discovery with qPCR validation studies revealed that the levels of Capnocytophaga and Veillonella were significantly higher in the saliva from lung cancer patients, which may serve as potential biomarkers for the disease detection/classification.

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
刚刚
Zn应助伊丽莎白打工采纳,获得10
1秒前
江月渡完成签到,获得积分10
2秒前
研友_RLN0vZ发布了新的文献求助10
2秒前
虾仁发布了新的文献求助10
2秒前
mmx发布了新的文献求助10
2秒前
3秒前
ff发布了新的文献求助10
4秒前
图南完成签到,获得积分20
4秒前
zhl发布了新的文献求助10
4秒前
今后应助喜洋洋采纳,获得10
5秒前
赘婿应助yin采纳,获得10
5秒前
6秒前
6秒前
7秒前
邢夏之发布了新的文献求助10
7秒前
7秒前
欣喜书桃完成签到,获得积分10
8秒前
8秒前
陈木木完成签到,获得积分10
8秒前
刘旭阳发布了新的文献求助10
8秒前
8秒前
hhhhhhh发布了新的文献求助10
8秒前
长情洙完成签到,获得积分10
9秒前
Lilac完成签到 ,获得积分10
9秒前
9秒前
9秒前
MissXia完成签到,获得积分10
9秒前
NUNKI完成签到,获得积分10
9秒前
迅速星星完成签到,获得积分10
9秒前
科研废物发布了新的文献求助10
10秒前
ltc完成签到,获得积分10
10秒前
科研通AI5应助诚c采纳,获得10
10秒前
Mrrr发布了新的文献求助10
10秒前
sganthem完成签到,获得积分10
10秒前
11秒前
哦吼完成签到,获得积分10
11秒前
11秒前
lm发布了新的文献求助10
12秒前
月白发布了新的文献求助10
12秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527699
求助须知:如何正确求助?哪些是违规求助? 3107752
关于积分的说明 9286499
捐赠科研通 2805513
什么是DOI,文献DOI怎么找? 1539954
邀请新用户注册赠送积分活动 716878
科研通“疑难数据库(出版商)”最低求助积分说明 709759