Oral Microbiome and Subsequent Risk of Head and Neck Squamous Cell Cancer

被引:5
作者
Kwak, Soyoung [1 ,2 ]
Wang, Chan [1 ,2 ]
Usyk, Mykhaylo [1 ,2 ]
Wu, Feng [1 ,2 ]
Freedman, Neal D. [3 ]
Huang, Wen-Yi [3 ]
McCullough, Marjorie L. [4 ]
Um, Caroline Y. [4 ]
Shrubsole, Martha J. [5 ,6 ]
Cai, Qiuyin [5 ,6 ]
Li, Huilin [1 ,2 ]
Ahn, Jiyoung [1 ,2 ]
Hayes, Richard B. [1 ,2 ]
机构
[1] NYU, Grossman Sch Med, Dept Populat Hlth, New York, NY 10016 USA
[2] NYU, Laura & Isaac Perlmutter Canc Ctr, New York, NY 10016 USA
[3] NCI, Div Canc Epidemiol & Genet, Bethesda, MD USA
[4] Amer Canc Soc, Dept Populat Sci, Atlanta, GA USA
[5] Vanderbilt Ingram Canc Ctr, Nashville, TN USA
[6] Vanderbilt Univ, Vanderbilt Epidemiol Ctr, Dept Med, Div Epidemiol,Med Ctr, Nashville, TN USA
关键词
POOLED ANALYSIS; CIGARETTE; SMOKING; COHORT;
D O I
10.1001/jamaoncol.2024.4006
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Importance The oral microbiota may be involved in development of head and neck squamous cell cancer (HNSCC), yet current evidence is largely limited to bacterial 16S amplicon sequencing or small retrospective case-control studies. Objective To test whether oral bacterial and fungal microbiomes are associated with subsequent risk of HNSCC development. Design, Setting, and Participants Prospective nested case-control study among participants providing oral samples in 3 epidemiological cohorts, the American Cancer Society Cancer Prevention Study II Nutrition Cohort, the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial, and the Southern Community Cohort Study. Two hundred thirty-six patients who prospectively developed HNSCC were identified during a mean (SD) of 5.1 (3.6) years of follow-up. Control participants who remained HNSCC free were selected by 2:1 frequency matching on cohort, age, sex, race and ethnicity, and time since oral sample collection. Data analysis was conducted in 2023. Exposures Characterization of the oral bacterial microbiome using whole-genome shotgun sequencing and the oral fungal microbiome using internal transcribed spacer sequencing. Association of bacterial and fungal taxa with HNSCC was assessed by analysis of compositions of microbiomes with bias correction. Association with red and orange oral pathogen complexes was tested by logistic regression. A microbial risk score for HNSCC risk was calculated from risk-associated microbiota. Main Outcomes and MeasuresThe primary outcome was HNSCC incidence. Results The study included 236 HNSCC case participants with a mean (SD) age of 60.9 (9.5) years and 24.6% women during a mean of 5.1 (3.6) years of follow-up, and 485 matched control participants. Overall microbiome diversity at baseline was not related to subsequent HNSCC risk; however 13 oral bacterial species were found to be differentially associated with development of HNSCC. The species included the newly identified Prevotella salivae, Streptococcus sanguinis, and Leptotrichia species, as well as several species belonging to beta and gamma Proteobacteria. The red/orange periodontal pathogen complex was moderately associated with HNSCC risk (odds ratio, 1.06 per 1 SD; 95% CI, 1.00-1.12). A 1-SD increase in microbial risk score (created based on 22 bacteria) was associated with a 50% increase in HNSCC risk (multivariate odds ratio, 1.50; 95% CI, 1.21-1.85). No fungal taxa associated with HNSCC risk were identified. Conclusions and Relevance This case-control study yielded compelling evidence that oral bacteria are a risk factor for HNSCC development. The identified bacteria and bacterial complexes hold promise, along with other risk factors, to identify high-risk individuals for personalized prevention of HNSCC.
引用
收藏
页码:1537 / 1547
页数:11
相关论文
共 61 条
  • [1] The UNITE database for molecular identification of fungi - recent updates and future perspectives
    Abarenkov, Kessy
    Nilsson, R. Henrik
    Larsson, Karl-Henrik
    Alexander, Ian J.
    Eberhardt, Ursula
    Erland, Susanne
    Hoiland, Klaus
    Kjoller, Rasmus
    Larsson, Ellen
    Pennanen, Taina
    Sen, Robin
    Taylor, Andy F. S.
    Tedersoo, Leho
    Ursing, Bjorn M.
    Vralstad, Trude
    Liimatainen, Kare
    Peintner, Ursula
    Koljalg, Urmas
    [J]. NEW PHYTOLOGIST, 2010, 186 (02) : 281 - 285
  • [2] Current concepts in the pathogenesis of periodontitis: from symbiosis to dysbiosis
    Abdulkareem, Ali A.
    Al-Taweel, Firas B.
    Al-Sharqi, Ali J. B.
    Gul, Sarhang S.
    Sha, Aram
    Chapple, Iain L. C.
    [J]. JOURNAL OF ORAL MICROBIOLOGY, 2023, 15 (01)
  • [3] Associations of Oral α-, β-, and γ-Human Papillomavirus Types With Risk of Incident Head and Neck Cancer
    Agalliu, Ilir
    Gapstur, Susan
    Chen, Zigui
    Wang, Tao
    Anderson, Rebecca L.
    Teras, Lauren
    Kreimer, Aimee R.
    Hayes, Richard B.
    Freedman, Neal D.
    Burk, Robert D.
    [J]. JAMA ONCOLOGY, 2016, 2 (05) : 599 - 606
  • [4] Oral Candida colonization in oral cancer patients and its relationship with traditional risk factors of oral cancer: A matched case-control study
    Alnuaimi, Ali D.
    Wiesenfeld, David
    O'Brien-Simpson, Neil M.
    Reynolds, Eric C.
    McCullough, Michael J.
    [J]. ORAL ONCOLOGY, 2015, 51 (02) : 139 - 145
  • [5] BASIC LOCAL ALIGNMENT SEARCH TOOL
    ALTSCHUL, SF
    GISH, W
    MILLER, W
    MYERS, EW
    LIPMAN, DJ
    [J]. JOURNAL OF MOLECULAR BIOLOGY, 1990, 215 (03) : 403 - 410
  • [6] Anderson M. J., 2017, Wiley StatsRef: Statistics Reference Online, P1, DOI [10.1002/9781118445112.stat07841, DOI 10.1002/9781118445112.STAT07841]
  • [7] Compact graphical representation of phylogenetic data and metadata with GraPhlAn
    Asnicar, Francesco
    Weingart, George
    Tickle, Timothy L.
    Huttenhower, Curtis
    Segata, Nicola
    [J]. PEERJ, 2015, 3
  • [8] Temporal Stability of the Salivary Microbiota in Oral Health
    Belstrom, Daniel
    Holmstrup, Palle
    Bardow, Allan
    Kokaras, Alexis
    Fiehn, Nils-Erik
    Paster, Bruce J.
    [J]. PLOS ONE, 2016, 11 (01):
  • [9] Agreement between methods of measurement with multiple observations per individual
    Bland, J. Martin
    Altman, Douglas G.
    [J]. JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 2007, 17 (04) : 571 - 582
  • [10] Callahan BJ, 2016, NAT METHODS, V13, P581, DOI [10.1038/nmeth.3869, 10.1038/NMETH.3869]