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

Author:

Vogtmann Emily1ORCID,Hua Xing2,Yu Guoqin1,Purandare Vaishnavi1,Hullings Autumn G3,Shao Dantong4,Wan Yunhu15,Li Shilan16,Dagnall Casey L15,Jones Kristine15ORCID,Hicks Belynda D15,Hutchinson Amy15ORCID,Caporaso J Gregory7,Wheeler William8,Sandler Dale P9,Beane Freeman Laura E1,Liao Linda M1,Huang Wen-Yi1ORCID,Freedman Neal D1ORCID,Caporaso Neil E1,Sinha Rashmi1,Gail Mitchell H1,Shi Jianxin1,Abnet Christian C1ORCID

Affiliation:

1. Division of Cancer Epidemiology and Genetics, National Cancer Institute , Bethesda, MD, USA

2. Public Health Sciences Division, Fred Hutchinson Cancer Center , Seattle, WA, USA

3. Nutrition Department, University of North Carolina , Chapel Hill, NC, USA

4. Guangzhou Institute of Pediatrics, Guangzhou Women and Children’s Medical Center, Guangzhou Medical University , Guangzhou, China

5. Frederick National Laboratory for Cancer Research/Leidos Biomedical Research Laboratory, Inc , Frederick, MD, USA

6. Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University Medical Center , Washington, DC, USA

7. Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University , Flagstaff, AZ, USA

8. Information Management Services, Inc , Rockville, MD, USA

9. Epidemiology Branch, Chronic Disease Epidemiology Group, National Institute for Environmental Health Science , Research Triangle Park, NC, USA

Abstract

Abstract Background Previous studies suggested associations between the oral microbiome and lung cancer, but studies were predominantly cross-sectional and underpowered. Methods Using 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. Results Higher 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. Conclusions Multiple 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.

Funder

Intramural Research Program

National Institutes of Health

National Institute of Environmental Health Sciences

National Cancer Institute

National Cancer Institute Informatics Technology for Cancer Research

Publisher

Oxford University Press (OUP)

Subject

Cancer Research,Oncology

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