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The Oral Microbiome and Lung Cancer Risk: An Analysis of 3 Prospective Cohort Studies.
Vogtmann, Emily; Hua, Xing; Yu, Guoqin; Purandare, Vaishnavi; Hullings, Autumn G; Shao, Dantong; Wan, Yunhu; Li, Shilan; Dagnall, Casey L; Jones, Kristine; Hicks, Belynda D; Hutchinson, Amy; Caporaso, J Gregory; Wheeler, William; Sandler, Dale P; Beane Freeman, Laura E; Liao, Linda M; Huang, Wen-Yi; Freedman, Neal D; Caporaso, Neil E; Sinha, Rashmi; Gail, Mitchell H; Shi, Jianxin; Abnet, Christian C.
  • Vogtmann E; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
  • Hua X; Public Health Sciences Division, Fred Hutchinson Cancer Center, Seattle, WA, USA.
  • Yu G; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
  • Purandare V; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
  • Hullings AG; Nutrition Department, University of North Carolina, Chapel Hill, NC, USA.
  • Shao D; Guangzhou Institute of Pediatrics, Guangzhou Women and Children's Medical Center, Guangzhou Medical University, Guangzhou, China.
  • Wan Y; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
  • Li S; Frederick National Laboratory for Cancer Research/Leidos Biomedical Research Laboratory, Inc, Frederick, MD, USA.
  • Dagnall CL; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
  • Jones K; Department of Biostatistics, Bioinformatics and Biomathematics, Georgetown University Medical Center, Washington, DC, USA.
  • Hicks BD; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
  • Hutchinson A; Frederick National Laboratory for Cancer Research/Leidos Biomedical Research Laboratory, Inc, Frederick, MD, USA.
  • Caporaso JG; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
  • Wheeler W; Frederick National Laboratory for Cancer Research/Leidos Biomedical Research Laboratory, Inc, Frederick, MD, USA.
  • Sandler DP; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
  • Beane Freeman LE; Frederick National Laboratory for Cancer Research/Leidos Biomedical Research Laboratory, Inc, Frederick, MD, USA.
  • Liao LM; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
  • Huang WY; Frederick National Laboratory for Cancer Research/Leidos Biomedical Research Laboratory, Inc, Frederick, MD, USA.
  • Freedman ND; Center for Applied Microbiome Science, Pathogen and Microbiome Institute, Northern Arizona University, Flagstaff, AZ, USA.
  • Caporaso NE; Information Management Services, Inc, Rockville, MD, USA.
  • Sinha R; Epidemiology Branch, Chronic Disease Epidemiology Group, National Institute for Environmental Health Science, Research Triangle Park, NC, USA.
  • Gail MH; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
  • Shi J; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
  • Abnet CC; Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA.
J Natl Cancer Inst ; 114(11): 1501-1510, 2022 11 14.
Article en En | MEDLINE | ID: mdl-35929779
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.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Microbiota / Neoplasias Pulmonares Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Male Idioma: En Año: 2022 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Microbiota / Neoplasias Pulmonares Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans / Male Idioma: En Año: 2022 Tipo del documento: Article