Evidence map›Paper›PMID 35929779›Full record

ArticleJournal of the National Cancer Institute2022

The Oral Microbiome and Lung Cancer Risk: An Analysis of 3 Prospective Cohort Studies.

Emily Vogtmann, Xing Hua, Guoqin Yu, Vaishnavi Purandare, Autumn G Hullings, Dantong Shao, Yunhu Wan, Shilan Li, Casey L Dagnall, Kristine Jones and 14 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of the National Cancer Institute, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
11.2field-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

55 citing papers in PubMed, 75 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors at 9 institutions in 2 countries.

Emily VogtmannDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.ORCID 0000-0003-1355-5593
Xing HuaPublic Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
Guoqin YuDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Vaishnavi PurandareDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Autumn G HullingsNutrition Department, University of North Carolina, Chapel Hill, NC, USA.
Dantong ShaoGuangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
Yunhu WanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Shilan LiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Casey L DagnallDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Kristine JonesDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.ORCID 0000-0003-1584-8920
Belynda D HicksDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Amy HutchinsonDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.ORCID 0000-0002-4962-2711
J Gregory CaporasoCenter for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.
William WheelerInformation Management Services, Inc, Rockville, MD, USA.
Dale P SandlerEpidemiology Branch, Chronic Disease Epidemiology Group, National Institute for Environmental Health Science, Research Triangle Park, NC, USA.
Laura E Beane FreemanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Linda M LiaoDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Wen-Yi HuangDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.ORCID 0000-0002-4440-3368
Neal D FreedmanDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.ORCID 0000-0003-0074-1098
Neil E CaporasoDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Rashmi SinhaDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Mitchell H GailDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Jianxin ShiDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
Christian C AbnetDivision of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.ORCID 0000-0002-3008-7843
National Cancer Institute · USLeidos (United States) · USFred Hutch Cancer Center · USGeorgetown University · USGuangzhou Medical University · CNInformation Management Services · USNational Institute of Environmental Health Sciences · USNorthern Arizona University · USUniversity of North Carolina at Chapel Hill · US

Funding

Lower Gastrointestinal Cancer StudiesZIACP010198 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI SINHA, RASHMI · 2009 to 2025
$6.6M
STUDIES OF OCCUPATIONAL CANCER--PESTICIDESZ01CP010119 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ALAVANJA, MICHAEL · 1996 to 2008
$5.0M
Advanced Development of Informatics Technologies for Cancer Research and Management (U24 Clinical Trial Optional)U24CA248454 · NCI · NORTHERN ARIZONA UNIVERSITY · PI CAPORASO, JAMES GREGORY · 2020 to 2024
$3.7M
HEALTH EFFECTS OF EXPOSURES IN AGRICULTUREZ01ES049030 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI SANDLER, DALE P · 1997 to 2008
$889k
Intramural NIH HHS Z01 CP010119Intramural NIH HHS Z01 ES049030NCI NIH HHS 1U24CA248454-01NCI NIH HHS U24 CA248454NCI NIH HHS Z01-CP010119NIEHS NIH HHS Z01-ES049030NIH HHS 75N910D00024
6 · The paper itself

Abstract

backgroundPrevious studies suggested associations between the oral microbiome and lung cancer, but studies were predominantly cross-sectional and underpowered.

methodsUsing a case-cohort design, 1306 incident lung cancer cases were identified in the Agricultural Health Study; National Institutes of Health-AARP Diet and Health Study; and Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial. Referent subcohorts were randomly selected by strata of age, sex, and smoking history. DNA was extracted from oral wash specimens using the DSP DNA Virus Pathogen kit, the 16S rRNA gene V4 region was amplified and sequenced, and bioinformatics were conducted using QIIME 2. Hazard ratios and 95% confidence intervals were calculated using weighted Cox proportional hazards models.

resultsHigher alpha diversity was associated with lower lung cancer risk (Shannon index hazard ratio = 0.90, 95% confidence interval = 0.84 to 0.96). Specific principal component vectors of the microbial communities were also statistically significantly associated with lung cancer risk. After multiple testing adjustment, greater relative abundance of 3 genera and presence of 1 genus were associated with greater lung cancer risk, whereas presence of 3 genera were associated with lower risk. For example, every SD increase in Streptococcus abundance was associated with 1.14 times the risk of lung cancer (95% confidence interval = 1.06 to 1.22). Associations were strongest among squamous cell carcinoma cases and former smokers.

conclusionsMultiple oral microbial measures were prospectively associated with lung cancer risk in 3 US cohort studies, with associations varying by smoking history and histologic subtype. The oral microbiome may offer new opportunities for lung cancer prevention.

Indexed as

Lung NeoplasmsMicrobiotaCohort StudiesCross-Sectional StudiesHumansLungMaleProspective StudiesRisk FactorsRNA, Ribosomal, 16SSmokingRNA, Ribosomal, 16S

Identifiers

PMID35929779
PMCPMC9664178
OpenAlexW4289885476

What OpenQuestion holds

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Registered trials

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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.