Evidence map›Paper›PMID 33318237›Full record

ArticleThorax2021

Variation in oral microbiome is associated with future risk of lung cancer among never-smokers.

H Dean Hosgood, Qiuyin Cai, Xing Hua, Jirong Long, Jianxin Shi, Yunhu Wan, Yaohua Yang, Christian Abnet, Bryan A Bassig, Wei Hu and 9 more

Open access · greenAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Thorax, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 69 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
69citing papers in PubMed, 2 pooled it
8.8field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

69 citing papers in PubMed, 2 syntheses or guidelines pooled it, 93 citations in OpenAlex.

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9 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

19 authors at 4 institutions in 2 countries.

H Dean Hosgood *Albert Einstein College of Medicine, Bronx, New York, USA dean.hosgood@einsteinmed.org.ORCID 0000-0003-4151-1133
Qiuyin Cai *Vanderbilt University, Nashville, Tennessee, USA.
Xing Hua *National Cancer Institute, Bethesda, Maryland, USA.
Jirong LongVanderbilt University, Nashville, Tennessee, USA.
Jianxin ShiNational Cancer Institute, Bethesda, Maryland, USA.
Yunhu WanNational Cancer Institute, Bethesda, Maryland, USA.
Yaohua YangVanderbilt University, Nashville, Tennessee, USA.
Christian AbnetNational Cancer Institute, Bethesda, Maryland, USA.
Bryan A BassigNational Cancer Institute, Bethesda, Maryland, USA.
Wei HuNational Cancer Institute, Bethesda, Maryland, USA.
Bu-Tian JiNational Cancer Institute, Bethesda, Maryland, USA.
Madelyn KlugmanAlbert Einstein College of Medicine, Bronx, New York, USA.
Yongbing XiangShanghai Cancer Institute, Shanghai, China.
Yu-Tang GaoShanghai Cancer Institute, Shanghai, China.
Jason Yy WongNational Cancer Institute, Bethesda, Maryland, USA.
Wei ZhengVanderbilt University, Nashville, Tennessee, USA.
Nathaniel Rothman *National Cancer Institute, Bethesda, Maryland, USA.
Xiao-Ou Shu *Vanderbilt University, Nashville, Tennessee, USA.
Qing Lan *National Cancer Institute, Bethesda, Maryland, USA.
National Cancer Institute · USVanderbilt University · USAlbert Einstein College of Medicine · USShanghai Cancer Institute · CN

Funding

Tumor Immunology and Microenvironment Research ProgramP30CA068485 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MATTHEW J TYSKA · 1995 to 2026
$172.8M
Shanghai Womens Health StudyUM1CA182910 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI ZHENG, WEI · 2014 to 2018
$5.9M
Shanghai Men's Health StudyUM1CA173640 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SHU, XIAO-OU · 2013 to 2017
$4.9M
Oral Microbiome and Lung Cancer RiskR01CA207466 · NCI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI CAI, QIUYIN, ROSENBERG, LYNN · 2016 to 2019
$2.7M
NCI NIH HHS P30 CA068485NCI NIH HHS R01 CA207466NCI NIH HHS UM1 CA173640NCI NIH HHS UM1 CA182910
6 · The paper itself

Abstract

objectiveTo prospectively investigate whether diversity in oral microbiota is associated with risk of lung cancer among never-smokers. DESIGN AND

settingA nested case-control study within two prospective cohort studies, the Shanghai Women's Health Study (n=74 941) and the Shanghai Men's Health Study (n=61 480).

participantsLifetime never-smokers who had no cancer at baseline. Cases were subjects who were diagnosed with incident lung cancer (n=114) and were matched 1:1 with controls on sex, age (≤2 years), date (≤30 days) and time (morning/afternoon) of sample collection, antibiotic use during the week before sample collection (yes/no) and menopausal status (for women). MAIN OUTCOMES AND MEASURES: Metagenomic shotgun sequencing was used to measure the community structure and abundance of the oral microbiome in pre-diagnostic oral rinse samples of each case and control. Multivariable logistic regression models were used to estimate the association of lung cancer risk with alpha diversity metrics and relative abundance of taxa. The Microbiome Regression-Based Kernel Association Test (MiRKAT) evaluated the association between risk and the microbiome beta diversity.

resultsSubjects with lower microbiota alpha diversity had an increased risk of lung cancer compared with those with higher microbial alpha diversity (Shannon: p

conclusionsOur prospective study of never-smokers suggests that lower alpha diversity was associated with a greater risk of lung cancer and the abundance of certain specific taxa was associated with altered risk, providing further insight into the aetiology of lung cancer in the absence of active tobacco smoking.

Indexed as

MicrobiotaCase-Control StudiesChinaFemaleHumansIncidenceLung NeoplasmsMaleMiddle AgedMouth MucosaProspective StudiesRisk FactorsSmokerslung cancernon-small cell lung cancer

Identifiers

PMID33318237
PMCPMC8513501
OpenAlexW3113362529

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.