Dataset Information

Periodontal Disease, Tooth Loss, and Cancer Risk.

ABSTRACT: Periodontal disease, which includes gingivitis and periodontitis, is highly prevalent in adults and disease severity increases with age. The relationship between periodontal disease and oral cancer has been examined for several decades, but there is increasing interest in the link between periodontal disease and overall cancer risk, with systemic inflammation serving as the main focus for biological plausibility. Numerous case-control studies have addressed the role of oral health in head and neck cancer, and several cohort studies have examined associations with other types of cancers over the past decade. For this review, we included studies that were identified from either 11 published reviews on this topic or an updated literature search on PubMed (between 2011 and July 2016). A total of 50 studies from 46 publications were included in this review. Meta-analyses were conducted on cohort and case-control studies separately when at least 4 studies could be included to determine summary estimates of the risk of cancer in relation to 1) periodontal disease or 2) tooth number (a surrogate marker of periodontal disease) with adjustment for smoking. Existing data provide support for a positive association between periodontal disease and risk of oral, lung, and pancreatic cancers; however, additional prospective studies are needed to better inform on the strength of these associations and to determine whether other cancers are associated with periodontal disease. Future studies should include sufficiently large sample sizes, improved measurements for periodontal disease, and thorough adjustment for smoking and other risk factors.

SUBMITTER: Michaud DS

PROVIDER: S-EPMC5868279 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Periodontal Disease, Tooth Loss, and Cancer Risk.

Michaud Dominique S DS Fu Zhuxuan Z Shi Jian J Chung Mei M

Epidemiologic reviews 20170101 1

Periodontal disease, which includes gingivitis and periodontitis, is highly prevalent in adults and disease severity increases with age. The relationship between periodontal disease and oral cancer has been examined for several decades, but there is increasing interest in the link between periodontal disease and overall cancer risk, with systemic inflammation serving as the main focus for biological plausibility. Numerous case-control studies have addressed the role of oral health in head and ne ...[more]

PMID: 28449041

Similar Datasets

Project description:BACKGROUND:Current periodontal disease taxonomies have limited utility for predicting disease progression and tooth loss; in fact, tooth loss itself can undermine precise person-level periodontal disease classifications. To overcome this limitation, the current group recently introduced a novel patient stratification system using latent class analyses of clinical parameters, including patterns of missing teeth. This investigation sought to determine the clinical utility of the Periodontal Profile Classes and Tooth Profile Classes (PPC/TPC) taxonomy for risk assessment, specifically for predicting periodontal disease progression and incident tooth loss. METHODS:The analytic sample comprised 4,682 adult participants of two prospective cohort studies (Dental Atherosclerosis Risk in Communities Study and Piedmont Dental Study) with information on periodontal disease progression and incident tooth loss. The PPC/TPC taxonomy includes seven distinct PPCs (person-level disease pattern and severity) and seven TPCs (tooth-level disease). Logistic regression modeling was used to estimate relative risks (RR) and 95% confidence intervals (CI) for the association of these latent classes with disease progression and incident tooth loss, adjusting for examination center, race, sex, age, diabetes, and smoking. To obtain personalized outcome propensities, risk estimates associated with each participant's PPC and TPC were combined into person-level composite risk scores (Index of Periodontal Risk [IPR]). RESULTS:Individuals in two PPCs (PPC-G: Severe Disease and PPC-D: Tooth Loss) had the highest tooth loss risk (RR = 3.6; 95% CI = 2.6 to 5.0 and RR = 3.8; 95% CI = 2.9 to 5.1, respectively). PPC-G also had the highest risk for periodontitis progression (RR = 5.7; 95% CI = 2.2 to 14.7). Personalized IPR scores were positively associated with both periodontitis progression and tooth loss. CONCLUSIONS:These findings, upon additional validation, suggest that the periodontal/tooth profile classes and the derived personalized propensity scores provide clinical periodontal definitions that reflect disease patterns in the population and offer a useful system for patient stratification that is predictive for disease progression and tooth loss.

Project description:In this review we critically summarize the evidence base and the progress to date regarding the genomic basis of periodontal disease and tooth morbidity (ie, dental caries and tooth loss), and discuss future applications and research directions in the context of precision oral health and care. Evidence for these oral/dental traits from genome-wide association studies first emerged less than a decade ago. Basic and translational research activities in this domain are now under way by multiple groups around the world. Key departure points in the oral health genomics discourse are: (a) some heritable variation exists for periodontal and dental diseases; (b) the environmental component (eg, social determinants of health and behavioral risk factors) has a major influence on the population distribution but probably interacts with factors of innate susceptibility at the person-level; (c) sizeable, multi-ethnic, well-characterized samples or cohorts with high-quality measures on oral health outcomes and genomics information are required to make decisive discoveries; (d) challenges remain in the measurement of oral health and disease, with current periodontitis and dental caries traits capturing only a part of the health-disease continuum, and are little or not informed by the underlying biology; (e) the substantial individual heterogeneity that exists in the clinical presentation and lifetime trajectory of oral disease can be identified and leveraged in a precision medicine framework or, if unappreciated, can hamper translational efforts. In this review we discuss how composite or biologically informed traits may offer improvements over clinically defined ones for the genomic interrogation of oral diseases. We demonstrate the utility of the results of genome-wide association studies for the development and testing of a genetic risk score for severe periodontitis. We conclude that exciting opportunities lie ahead for improvements in the oral health of individual patients and populations via advances in our understanding of the genomic basis of oral health and disease. The pace of new discoveries and their equitable translation to practice will largely depend on investments in the education and training of the oral health care workforce, basic and population research, and sustained collaborative efforts..

Project description:BackgroundVitamin D is hypothesized to reduce risk for tooth loss via its influence on bone health, inflammation, and the immune response. The association between plasma 25-hydroxyvitamin D [25(OH)D] concentrations and prevalence and 5-year incidence of tooth loss in a cohort of postmenopausal females was examined.MethodsParticipants underwent oral examinations at study baseline (1997 to 2000) and follow-up (2002 to 2005) to determine the number of missing teeth and 5-year incidence of tooth loss, respectively. At both visits, females self-reported reasons for each missing tooth. At baseline, 152 females reported no history of tooth loss, and 628 were categorized as reporting a history of tooth loss as a result of periodontal disease (n = 70) or caries (n = 558) (total n = 780). At follow-up, 96, 376, 48, and 328 females were categorized into the aforementioned categories related to tooth loss (total n = 472). Logistic regression was used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) for tooth loss by category of baseline 25(OH)D (nmol/L) concentrations. Models were adjusted for age, income, smoking status, frequency of dental visits, waist circumference, and recreational physical activity. P value for trend was estimated using continuous concentrations of 25(OH)D.ResultsAmong females with 25(OH)D ≥50 (adequate vitamin D status) compared to <50 nmol/L (deficient/inadequate), the adjusted ORs were 1.24 (95% CI = 0.82 to 1.87), P-trend = <0.05 for the history (prevalence) of tooth loss resulting from periodontal disease or caries and 1.07 (95% CI = 0.62 to 1.85), P-trend = 0.11 for the incidence of tooth loss resulting from periodontal disease or caries. No statistically significant association was observed between 25(OH)D and the history or incidence of tooth loss caused by periodontal disease. An increased odds of the history of tooth loss attributable to caries was observed with increasing concentrations of 25(OH)D (P-trend = <0.05) but was not confirmed in prospective analyses.ConclusionIn this cohort of postmenopausal females, the data do not support an association between vitamin D status and tooth loss.

Dataset Information

Periodontal Disease, Tooth Loss, and Cancer Risk.

Publications

Periodontal Disease, Tooth Loss, and Cancer Risk.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets