J Cancer 2020; 11(16):4716-4723. doi:10.7150/jca.45369

Research Paper

Chronic Periodontal Disease increases risk for Prostate Cancer in Elderly individuals in South Korea: a Retrospective Nationwide Population-based Cohort Study

Do-hyung Kim, Seong-Nyum Jeong, Jae-Hong Lee Corresponding address

Department of Periodontology, Daejeon Dental Hospital, Institute of Wonkwang Dental Research, Wonkwang University College of Dentistry, Daejeon, Korea.

This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
Citation:
Kim Dh, Jeong SN, Lee JH. Chronic Periodontal Disease increases risk for Prostate Cancer in Elderly individuals in South Korea: a Retrospective Nationwide Population-based Cohort Study. J Cancer 2020; 11(16):4716-4723. doi:10.7150/jca.45369. Available from http://www.jcancer.org/v11p4716.htm

File import instruction

Abstract

Objectives: The association between prostate cancer (PC) and chronic periodontal disease (PD) has been evaluated in previous studies, but results have been inconsistent. This study aimed to determine whether the presence of chronic PD in old age increases the risk of PC using data in the large-scale elderly cohort.

Materials and Methods: This nationwide population-based cohort study examined data of 121,240 South Korean individuals aged ≥ 60 years from the National Health Insurance Service-Elderly Cohort database who completed a national program between 2002 and 2015. For a maximum 10 years' observation period, patients with incident PC with chronic PD compared with those without chronic PD were retrospectively tracked, and Cox proportional hazard ratios and 95% confidence intervals (CIs) were calculated, adjusted for potential confounding factors, including age, household income, insurance status, Charlson Comorbidity Index, hypertension, diabetes mellitus, cerebral infarction, angina pectoris, myocardial infarction, prostatitis, smoking status, daily smoking, alcohol intake habits, one-time alcohol intake, and regular exercise.

Results: The overall incidence of PC with chronic PD in 10 years was 3.0% (n = 2,063). In the multivariate Cox analysis with adjustment for confounding factors, chronic PD was associated with a 24% higher risk of PC (95% CI = 1.16-1.32, P < 0.001).

Conclusion: Our results suggest that chronic PD is significantly and positively associated with PC. Larger and better-controlled studies are needed to strengthen this evidence of association and explain the underlying biological mechanisms.

Keywords: Cohort studies, periodontal disease, periodontitis, prostate cancer, risk factors

Introduction

Prostate cancer (PC) is one of the most common age-related malignancies in men worldwide and accounts for 20% of new male cancers in the United States in 2019 [1]. The rate of deaths from PC is decreasing annually but accounts for 9.8% of deaths from male cancer since 2018 and PC is still a common and significant cause of morbidity and mortality in elderly men [1,2]. In contrast, in 2016, PC was the fourth most common cancer in South Korea after stomach, lung, and colon cancers, with a total of 11,800 cases, accounting for 9.8% of all male cancers [3]. Especially, recently in South Korea, PC has increased incidence by a greater margin than any other male cancer [3].

Although PC is an extremely popular cancer in elderly men, various factors are intricately intertwined with each other, so the primary cause is still controversial [4,5]. Congenital factors, such as genetic abnormalities, are closely related to PC, but acquired environments, such as old age and obesity, are also considered important risk factors [6]. Additionally, chronic inflammation is also known to play a decisive role in the initiation, promotion, malignant conversion, invasion, and metastasis of cancer, and the evidence that chronic inflammation is the cause of PC has been reported by epidemiological or pathological studies [7-10].

Chronic periodontal disease (PD) is a representative and typical bacterial and inflammatory disease developing within the oral cavity that results in alveolar bone loss and subsequent loss of teeth for a relatively long period [11,12]. Several risk factors might be responsible for chronic PD, especially smoking, obesity, and diabetes mellitus, which are also major risk factors or risk indicators for chronic PC [13].

Recently, several studies have carefully reported that PC and chronic PD are closely related and correlated with underlying chronic inflammatory processes [14-16]. It is clear that the risk of PC and chronic PD increases with age, and it is considered that patients with chronic PD are more likely to develop PC, but studies are limited. Therefore, this study aimed to determine whether the presence of chronic PD in old age increases the risk of PC using the large-scale elderly cohort database in South Korea.

Materials and Methods

Source of data

The study analyses used the National Health Insurance Service-Elderly Cohort (NHIS-EC) database in South Korea, which was established by the NHIS (NHIS sharing service, https://nhiss.nhis.or.kr) to assess the risk and prognostic factors of geriatric disease. In this database, 10% of elderly participants, who were selected from approximately 5.5 million of elderly individuals aged ≥ 60 years who are eligible for national health insurance and medical benefits, are included. Data from 2002 to 2015 (14 years), including sociodemographic information, records of medical history and health examination, and information on nursing institutions and long-term care services, were entered in a retrospective cohort form that does not contain personally identifiable or sensitive medical information.

This study conformed to the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) guidelines for reporting observational cohort studies (www.strobe-statement.org) and was approved by the Institutional Review Board of Daejeon Dental Hospital, Wonkwang University (approval no. W2003/001-001). The requirement for written informed consent was waived by the NHIS (REQ0000034029).

Study population

We selected the elderly population from those who were included in the NHIS-EC database between January 2002 and December 2005 (n = 558,147). We identified eligible participants (n = 121,240) after excluding (1) female (n = 327,565), (2) those who had missing general and oral health examinations (n = 109,918), and (3) those who had a previous history of cancer or new cancer diagnosis or death between 2002 and 2005 (n = 322). Then, included participants were classified into a group with chronic PD (n = 60,772) and group without chronic PD (n = 60,468) and followed up for PC diagnosed until December 31, 2015 (Figure 1).

Definitions

The chronic PD diagnosis was based on the K052-K056 codes of the Korean Classification of Disease 7th revision (KCD-7), corresponding to codes of the International Classification of Disease 10th revision (ICD-10), according to criteria of the Centers for Disease Control and Prevention/American Academy of Periodontology [17,18]. During the oral health examination, chronic PD was assessed and scored based on measurements of clinical periodontal parameters, including bleeding on probing, probing depth, clinical attachment level, and periodontal tooth loss [19]. Moreover, to confirm chronic PD, the participants were limited to those diagnosed with chronic PD at least twice during the oral health examination between 2002 and 2005. The primary endpoint was the newly diagnosed PC in 10 years from 2006 to 2015, which was defined using the KCD-7 code C61, corresponding to ICD-10 code C61, by medical oncologists or urologists.

Covariates

Sociodemographic information, general and oral health examinations, and self-reported questionnaires were used to collect data at the time of enrollment for the following potential variables regarded as risk factors or indicators for PC and included as covariates in the univariable and multivariable analyses: age (two groups: those aged 60-69 years and those aged ≥ 70 years), household income (five groups: those divided into five quintiles based on the insurance fee imposed on each household, with the Medical Aid Program [MAP] group classified into the first quintile), insurance status (three groups: those in the MAP and those in the NHIS groups [self-employed and employees]), Charlson Comorbidity Index (CCI, three groups: those divided into three scores and a brief description of the terms related to CCI is provided in Supplementary Material 1), hypertension (KCD-7 codes I10 and I15, corresponding to ICD-10 codes I10 and I15), diabetes mellitus (KCD-7 codes E10-E14, corresponding to ICD-10 codes E10-E14), cerebral infarction (KCD-7 codes I63-I66, corresponding to ICD-10 codes I63-I66), angina pectoris (KCD-7 codes I20, corresponding to ICD-10 codes I20), myocardial infarction (KCD-7 codes I21 and I22, corresponding to ICD-10 codes I21 and I22), prostatitis (KCD-7 code N41, corresponding to ICD-10 code N41), smoking status and number of cigarettes per day, alcohol intake habit and amount of alcohol intake at a time, and regular exercise per week.

Statistical analysis

Categorical data were shown as frequencies and percentages. Cohort-related variables, including sociodemographic factors (age, household income, and insurance status), comorbidities (CCI, hypertension, diabetes mellitus, cerebral infarction, angina pectoris, myocardial infarction, and prostatitis), self-reported questionnaire (smoking status, daily smoking, alcohol intake habits, one-time alcohol intake, and regular exercise), were analyzed using the Pearson chi-square test. Hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated via statistical analysis using Cox proportional-hazards regression models after adjusting for sociodemographic factors, comorbidities, and self-reported questionnaire outcomes. The cumulative incidence of PC with and without chronic PD was estimated using the Kaplan-Meier method and compared using the log-rank test. All statistical analyses were conducted using the Statistical Analysis System software version 9.4 (SAS Institute, Cary, NC, USA) and R version 3.5.3 (The R Foundation for Statistical Computing, Vienna, Austria). Statistical significance was considered at two-sided P-value <0.05.

 Figure 1 

CONSORT flowchart showing the study cohort enrollment process.

J Cancer Image (Click on the image to enlarge.)
 Table 1 

Baseline characteristics of the study population included in the National Health Insurance Service-Elderly Cohort according to the presence and absence of chronic periodontal disease (PD)

VariablesParticipants with chronic PD (n, %)Participants without chronic PD (n, %)Pa
Total60,772(100.0)60,468(100.0)
Sociodemographics
Age group (years)
60-6949,822(82.0)42,001(69.5)< 0.001
≥ 7010,950(18.0)18,467(30.5)
Household incomeb
First quintile9,550(15.7)11,063(18.3)< 0.001
Second quintile8,052(13.2)9,949(16.5)
Third quintile9,799(16.1)10,284(17.0)
Fourth quintile13,785(22.7)13,288(22.0)
Fifth quintile19,586(32.2)15,884(26.3)
Insurance status
MAP198(0.3)351(0.6)< 0.001
NHIS (self-employed)35,658(58.7)32,797(54.2)
NHIS (employees)24,916(41.0)27,320(45.2)
Comorbidity
CCI
031,378(51.6)32,811(54.3)< 0.001
115,484(25.5)14,454(23.9)
≥ 213,910(22.9)13,203(21.8)
Hypertension
Yes40,660(66.9)37,308(61.7)< 0.001
No20,112(33.1)23,160(38.3)
Diabetes mellitus
Yes22,761(37.5)18,472(30.5)< 0.001
No38,011(62.5)41,996(69.5)
Cerebral infarction
Yes12,879(21.2)13,216(21.9)< 0.001
No47,893(78.8)47,252(78.1)
Angina pectoris
Yes2,553(4.2)2,439(4.0)0.004
No58,219(95.8)58,029(96.0)
Myocardial infarction
Yes12,321(20.3)9,296(15.4)< 0.001
No48,451(79.7)51,172(84.6)
Prostatitis
Yes7,144(11.8)5,157(8.5)< 0.001
No53,628(88.2)55,311(91.5)
Self-reported questionnaire
Smoking status
Yes17,907(29.5)19,557(32.3)< 0.001
No42,865(70.5)40,911(67.7)
Daily smoking
< 20 cigarettes15,129(84.5)16,799(85.9)< 0.001
≥ 20 cigarettes2,778(15.5)2,758(14.1)
Alcohol intake habits
No drinking30,304(49.9)32,071(53.0)< 0.001
1-4 times/week23,588(38.8)20,087(33.2)
Almost daily6,880(11.3)8,310(13.7)
One-time alcohol intake
< 1 bottle of beer (360 mL)27,095(88.9)25,254(88.9)0.992
≥ 1 bottle of beer (360 mL)3,373(11.1)3,143(11.1)
Regular exercise
No32,457(53.4)39,529(65.4)< 0.001
1-4 times/week17,623(29.0)12,431(20.6)
≥ 5 times/week10,692(17.6)8,508(14.1)

MAP, Medical Aid Program; NHIS, National Health Insurance Service; CCI, Charlson Comorbidity Index.

aP-values were obtained using the Pearson chi-square test.

bDivided into five quintiles based on the insurance fee imposed on each household, with the MAP group classified into the first quintile.

Results

Baseline characteristics of the study population

Table 1 shows the baseline characteristics of the study population according to the presence and absence of chronic PD. Participants with chronic PD were more likely to have comorbidities, such as hypertension (66.9%), diabetes mellitus (37.5%), angina pectoris (4.2%), myocardial infarction (20.3%), and prostatitis (11.8%), and less likely to smoke (29.5%) and perform regular physical activity (53.4%) compared with those without chronic PD.

Cumulative incidence of PC

Table 2 shows the cumulative incidence of PC during the follow-up period after diagnosis of chronic PD. During the study period, of participants with chronic PD (n = 2,063), 1,487 (72.1%) had hypertension, 827 (40.1%) had diabetes mellitus, 490 (23.8%) had cerebral infarction, 83 (4.0%) had angina pectoris, 560 (27.1%) had myocardial infarction, and 465 (22.5%) had prostatitis. In contrast, in those without chronic PD (n = 1,559), 1,033 (66.3%) had hypertension, 553 (35.5%) had diabetes mellitus, 331 (21.2%) had cerebral infarction, 66 (4.2%) had angina pectoris, 303 (19.4%) had myocardial infarction, and 307 (19.7%) had prostatitis.

Risk of PC

Table 3 shows the univariable and multivariable analyses, with adjustment for sociodemographic factors, comorbidities, smoking, alcohol consumption, and physical activity. The results of the multivariable analysis indicated that the incidence of PC was significantly positively correlated with older age (≥ 70 years, adjusted HR 1.37, 95% CI 1.27-1.48, P < 0.001), higher household incomes (fourth and fifth quintiles, adjusted HR 1.21, 95% CI 1.08-1.35, P < 0.001 and adjusted HR 1.28, 95% CI 1.15-1.42, P < 0.001, respectively), higher CCI score (> 2, adjusted HR 1.19, 95% CI 1.10-1.29, P < 0.001), hypertension (adjusted HR 1.13, 95% CI 1.05-1.22, P = 0.001), diabetes mellitus (adjusted HR 1.08, 95% CI 1.00-1.16, P = 0.041), angina pectoris (adjusted HR 1.24, 95% CI 1.14-1.34, P < 0.001), prostatitis (adjusted HR 1.92, 95% CI 1.77-2.08, P < 0.001), and current smoking (adjusted HR 1.24, 95% CI 1.14-1.33, P < 0.001).

Association of PD with incidence of PC

In the initial study population, 3,622 participants were diagnosed with PC during the follow-up period, and a higher risk of PC incidence was observed in the group with chronic PD than in the group without chronic PD (unadjusted HR 1.31, 95% CI 1.23-1.40, P < 0.001; adjusted HR 1.24, 95% CI 1.16-1.32, P < 0.001). The Kaplan-Meier curve also showed the risk of incident PC in the groups with and without chronic PD (Figure 2).

Discussion

In this study, the proportion of PCs among cancers in elderly men was 13.9%, which is similar to that in the World Health Organization GLOBOCAN database that reported 15% of PCs among all male cancers, and these results are also highly consistent with the increase in PC incidence and prevalence at older ages.[6] Our study, which was conducted on 121,240 men aged ≥ 60 years, showed that the incidence of PC with chronic PD in 10 years was 3.0%, and adjusted HR for developing a new PC was 1.24 (95% CI 1.16-1.32, P < 0.001) [15].

Despite the growing interest in oral health and improvement of oral hygiene and dental services, the incidence and prevalence of chronic PD have been consistently increasing as society ages [20]. In 2018, PD was the second most common disease in the outpatient hospital care in South Korea, and about 30.1% (15.6 million individuals) of its current population has already received treatment. Previously, chronic PD was defined as a localized and chronic inflammatory response caused by specific anaerobic bacteria in the periodontal pocket, such as Porphyromonas gingivalis, Tannerella forsythia, Treponema denticola, and Aggregatibacter actinomycetemcomitans. However, recently, clinical and pathological evidence that chronic PD is closely related to chronic and progressive systemic inflammatory diseases, including cardiovascular disease, diabetes mellitus, rheumatoid arthritis, and osteoporosis, has steadily emerged [21-23].

Recent studies have reported that chronic PD affects the development and/or progression of several types of cancer, including oral and oropharyngeal cancer [16,24]. Especially with the exception of orofacial cancer, after adjusting for known risk factors, such as age, sex, and smoking, chronic PD was statistically significantly associated with an increased risk of pancreatic cancer (Michaud et al., HR 1.64, 95% CI 1.19-2.26; Chang et al., HR 1.55, 95% CI 1.02-2.33; Maisonneuve et al., HR 1.74, 95% CI 1.41-2.15) [25-27].

 Figure 2 

Kaplan-Meier analysis showing the cumulative incidence rates of prostate cancer with and without chronic periodontal disease during the follow-up periods. The risk of incident prostate cancer with chronic periodontal disease was higher and significantly different from that of prostate cancer without chronic periodontal disease (P < 0.001).

J Cancer Image (Click on the image to enlarge.)
 Table 2 

Cumulative incidence of prostate cancer in participants with and without chronic PD

VariablesCumulative incidence of prostate cancer at 10 yearsPa
Participants with chronic PD (n,%)Participants without chronic PD (n,%)
Total2,063(100.0)1,559(100.0)
Sociodemographics
Age group (years)
60-691,533(74.3)978(62.7)< 0.001
≥ 70530(25.7)581(37.3)
Household income
First quintile236(11.4)284(18.2)< 0.001
Second quintile227(11.0)192(12.3)
Third quintile303(14.7)226(14.5)
Fourth quintile489(23.7)360(23.1)
Fifth quintile808(39.2)497(31.9)
Insurance status
MAP7(0.3)13(0.8)0.021
NHIS (self-employed)1,224(59.3)871(55.9)
NHIS (employees)832(40.3)675(43.3)
Comorbidity
CCI
0907(44.0)775(49.7)0.001
1506(24.5)364(23.3)
≥ 2650(31.5)420(26.9)
Hypertension
Yes1,487(72.1)1,033(66.3)< 0.001
No576(27.9)526(33.7)
Diabetes mellitus
Yes827(40.1)553(35.5)0.004
No1,236(59.9)1,006(64.5)
Cerebral infarction
Yes490(23.8)331(21.2)0.072
No1,573(76.2)1,228(78.8)
Angina pectoris
Yes83(4.0)66(4.2)0.752
No1,980(96.0)1,493(95.8)
Myocardial infarction
Yes560(27.1)303(19.4)< 0.001
No1,503(72.9)1,256(80.6)
Prostatitis
Yes465(22.5)307(19.7)0.038
No1,598(77.5)1,252(80.3)
Self-reported questionnaire
Smoking status
Yes1,061(51.4)632(40.5)< 0.001
No1,002(48.6)927(59.5)
Daily smoking
< 20 cigarettes871(82.1)554(87.7)0.023
≥ 20 cigarettes190(17.9)78(12.3)
Alcohol intake habits
No drinking1,137(55.1)914(58.6)< 0.001
1-4 times/week753(36.5)478(30.7)
Almost daily173(8.4)167(10.7)
One-time alcohol intake
< 1 bottle of beer (360 mL)822(88.8)580(89.9)0.468
≥ 1 bottle of beer (360 mL)104(11.2)65(10.1)
Regular exercise
No1,587(76.9)1,154(74.0)< 0.001
1-4 times/week377(18.3)181(11.6)
≥ 5 times/week99(4.8)224(14.4)

aP-values were obtained using the Pearson chi-square test.

In contrast, few studies have reported positive associations between PC and chronic PD [15,28]. In our previous study on 187,934 adult men aged ≥ 40 using data from a South Korean nationwide population based on the NHIS-Health Examinee Cohort, the incidence of PC with chronic PD in 12 years was 0.5%, and adjusted HR for developing a new PC within 12 years was 1.14 (95% CI 1.01-1.31, P = 0.042) [15]. Another epidemiological cohort study using the Turkish National Cancer Registry database also found that men aged ≥ 35 years with PD were at high risk for developing PC in a follow-up of 12 years (standardized incidence rates 3.75, 95% CI 0.95-10.21, P = 0.014) [28].

 Table 3 

Univariable and multivariable Cox proportional hazards regression analyses for factors potentially affecting the development of prostate cancer

Univariable analysisMultivariable analysis
VariablesHR95% CIPHR95% CIP
Sociodemographics
Age group (reference: 60-69 years)
≥ 701.321.23-1.41<0.0011.371.27-1.48< 0.001
Household income (reference: first quintile)
Second quintile0.950.83-1.080.4020.990.87-1.130.855
Third quintile1.050.93-1.180.4681.060.94-1.200.362
Fourth quintile1.231.10-1.37<0.0011.211.08-1.35< 0.001
Fifth quintile1.401.27-1.55<0.0011.281.15-1.42< 0.001
Insurance status (reference: MAP)
NHIS (self-employed)0.770.49-1.190.2370.620.39-0.960.034
NHIS (employees)0.730.47-1.140.1680.620.39-0.970.036
Comorbidity
CCI (reference: score 0)
11.091.00-1.180.0511.030.95-1.120.441
≥ 21.301.20-1.40<0.0011.191.10-1.29< 0.001
Hypertension (reference: no)1.231.14-1.32<0.0011.131.05-1.220.001
Diabetes mellitus (reference: no)1.151.08-1.23<0.0011.081.00-1.160.041
Cerebral infarction (reference: no)1.030.95-1.110.4440.940.87-1.020.114
Angina pectoris (reference: no)1.351.25-1.46<0.0011.241.14-1.34< 0.001
Myocardial infarction (reference: no)0.980.83-1.150.7870.800.68-0.950.010
Prostatitis (reference: no)2.071.91-2.25<0.0011.921.77-2.08< 0.001
Self-reported questionnaire
Smoking status (reference: no)1.321.22-1.42<0.0011.241.14-1.33< 0.001
Daily smoking (reference: <20 cigarettes)1.181.08-1.29<0.0011.080.98-1.180.109
Alcohol intake habits (reference: no drinking)
1-4 times/week0.880.82-0.95<0.0010.920.86-1.000.036
Almost daily0.700.63-0.79<0.0010.840.74-0.950.004
One-time alcohol intake (reference: <1 bottle)0.870.75-1.020.0761.050.90-1.240.522
Regular exercise (reference: no)
1-4 times/week0.760.70-0.81<0.0010.860.79-0.93< 0.001
≥ 5 times/week0.840.71-1.000.0531.080.90-1.300.428

HR, hazard ratio; CI, confidence interval.

Multivariate regression analysis adjusted for age, household income, insurance status, CCI, hypertension, diabetes mellitus, cerebral infarction, angina pectoris, myocardial infarction, prostatitis, smoking status, daily smoking, alcohol intake habits, one-time alcohol intake, and regular exercise.

Dysbiosis of the oral microbiota, bacteria-induced immune evasion and dysregulation, modulation of various signaling pathways, and subsequent inhibition of apoptosis and activation of cell proliferation in patients with chronic PD have all been proposed as pro-tumorigenic mechanisms [29-31]. Moreover, some genes (particularly CDKN2B) that are significantly and consistently related with cancer are also associated with PD, which suggests shared genetic susceptibility between the two diseases [28].

Activated inflammatory cells, including neutrophils, macrophages, and dendritic cells, secrete pro-inflammatory and pro-growth substances, such as tumor necrosis factor (TNF)-α, cytokines, chemokines, matrix metalloproteases, and pro-angiogenic molecules. These cells also produce reactive oxygen and nitrogen species, which can induce DNA damage in epithelial cells and produce an environment for both initiation and promotion of carcinogenesis at local and distant sites [32-34]. Periodontal pathogens might promote cancer development through invasion of blood vessels, bacteremia, and subclinical infection in distant sites [28].

Among the comorbidities investigated in this study, prostatitis was found to have the closest relationship with PC (crude HR 2.07, 95% CI 1.91-2.25, P < 0.001; adjusted HR 1.92, 95% CI 1.77-2.08, P < 0.001). Patients with moderate-to-severe prostatitis and chronic PD were found to have higher prostate-specific antigen levels, which are used to track response to androgen deprivation therapy (ADT) for PC [35]. Famili et al. found that men with PC undergoing ADT were more likely to have PD than men not undergoing ADT [36]. Both PD and prostatitis result in cytokine imbalance toward increased pro-inflammatory cytokines, such as interleukine (IL)-6, IL-8, IL-18, TNF-α, and C-reactive protein, and decreased anti-inflammatory cytokines [37]. Additionally, major clinical parameters of PD, especially clinical attachment level, were significantly worse in patients with moderate-to-severe prostatitis [35,37]. Considering the similarity in the etiopathogenesis of prostatitis and PD, it is possible that there is a pathological link between them; however, further studies are necessary to draw a conclusion.

The present study has several limitations. First, since all patients with cancer are required to register in the National Cancer Registration and Statistics system, the diagnostic accuracy of PC is highly reliable, while it is difficult to guarantee the diagnostic accuracy of chronic PD due to the nature of this study. Therefore, to increase the diagnostic reliability of chronic PD, diagnosis should be made twice using clinical parameters of the oral health examination, and all participants who did not undergo oral health examination were excluded. Second, because the current NHIS-EC database does not provide information on the stage and grade of PC, it is difficult to confirm the association between the progression or severity of PC and chronic PD. Third, due to the study design, it is hard to distinguish whether PD and PC have a causative relationship or they share the same susceptibility. Finally, since this study has been analyzed retrospectively only for those who have undergone general and oral health examinations, selection bias could occur fundamentally.

Conclusion

Despite the abovementioned limitations, this is the first study that used NHIS-based elderly cohort data from South Korea, and the results demonstrated a positive and significant association between PC and chronic PD. The retrospective nature of this study limits the conclusiveness of our findings. Therefore, large better controlled studies are warranted to strengthen this evidence of association and help elucidate the underlying biological mechanisms.

Supplementary Material

Attachment

Supplementary figures and tables.

Acknowledgements

The used NHIS-HEALS data (NHIS-2020-2-082) were supplied by the NHIS. The authors declare that they have no potential conflicts of interest with the NHIS or financial disclosures to report. This work was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIT) (No. 2019R1A2C1083978) and Wonkwang University in 2020.

Competing Interests

The authors have declared that no competing interest exists.

References

1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2019. CA Cancer J Clin. 2019;69(1):7-34

2. Mohler JL, Antonarakis ES, Armstrong AJ, D'Amico AV, Davis BJ, Dorff T. et al. Prostate Cancer, Version 2.2019, NCCN Clinical Practice Guidelines in Oncology. J Natl Compr Canc Netw. 2019;17(5):479-505

3. Jung KW, Won YJ, Kong HJ, Lee ES. Prediction of Cancer Incidence and Mortality in Korea, 2018. Cancer Res Treat. 2018;50(2):317-23

4. Hsing AW, Chokkalingam AP. Prostate cancer epidemiology. Front Biosci. 2006;11:1388-413

5. Witte JS. Prostate cancer genomics: towards a new understanding. Nat Rev Genet. 2009;10(2):77-82

6. Torre LA, Bray F, Siegel RL, Ferlay J, Lortet-Tieulent J, Jemal A. Global cancer statistics, 2012. CA Cancer J Clin. 2015;65(2):87-108

7. Mantovani A, Allavena P, Sica A, Balkwill F. Cancer-related inflammation. Nature. 2008;454(7203):436-44

8. Grivennikov SI, Greten FR, Karin M. Immunity, inflammation, and cancer. Cell. 2010;140(6):883-99

9. DeMarzo AM, Nelson WG, Isaacs WB, Epstein JI. Pathological and molecular aspects of prostate cancer. Lancet. 2003;361(9361):955-64

10. Gurel B, Lucia MS, Thompson IM Jr, Goodman PJ, Tangen CM, Kristal AR. et al. Chronic inflammation in benign prostate tissue is associated with high-grade prostate cancer in the placebo arm of the prostate cancer prevention trial. Cancer Epidemiol Biomarkers Prev. 2014;23(5):847-56

11. Lee JH, Oh JY, Choi JK, Kim YT, Park YS, Jeong SN. et al. Trends in the incidence of tooth extraction due to periodontal disease: results of a 12-year longitudinal cohort study in South Korea. J Periodontal Implant Sci. 2017;47(5):264-72

12. Kim YT, Choi JK, Kim DH, Jeong SN, Lee JH. Association between health status and tooth loss in Korean adults: longitudinal results from the National Health Insurance Service-Health Examinee Cohort, 2002-2015. J Periodontal Implant Sci. 2019;49(3):158-70

13. Gong Z, Neuhouser ML, Goodman PJ, Albanes D, Chi C, Hsing AW. et al. Obesity, diabetes, and risk of prostate cancer: results from the prostate cancer prevention trial. Cancer Epidemiol Biomarkers Prev. 2006;15(10):1977-83

14. Palapattu GS, Sutcliffe S, Bastian PJ, Platz EA, De Marzo AM, Isaacs WB. et al. Prostate carcinogenesis and inflammation: emerging insights. Carcinogenesis. 2005;26(7):1170-81

15. Lee JH, Kweon HH, Choi JK, Kim YT, Choi SH. Association between Periodontal disease and Prostate cancer: Results of a 12-year Longitudinal Cohort Study in South Korea. J Cancer. 2017;8(15):2959-65

16. Fitzpatrick SG, Katz J. The association between periodontal disease and cancer: a review of the literature. J Dent. 2010;38(2):83-95

17. Armitage GC. Development of a classification system for periodontal diseases and conditions. Ann Periodontol. 1999;4(1):1-6

18. Page RC, Eke PI. Case definitions for use in population - Based surveillance of periodontitis. J Periodontol. 2007;78(7):1387-99

19. Kingman A, Albandar JM. Methodological aspects of epidemiological studies of periodontal diseases. Periodontol 2000. 2002;29:11-30

20. Lee JH, Lee JS, Choi JK, Kweon HI, Kim YT, Choi SH. National dental policies and socio-demographic factors affecting changes in the incidence of periodontal treatments in Korean: A nationwide population-based retrospective cohort study from 2002-2013. BMC Oral Health. 2016;16(1):118

21. Lee JH, Lee JS, Park JY, Choi JK, Kim DW, Kim YT. et al. Association of Lifestyle-Related Comorbidities With Periodontitis: A Nationwide Cohort Study in Korea. Medicine (Baltimore). 2015;94(37):e1567

22. Lee JH, Oh JY, Youk TM, Jeong SN, Kim YT, Choi SH. Association between periodontal disease and non-communicable diseases: A 12-year longitudinal health-examinee cohort study in South Korea. Medicine (Baltimore). 2017;96(26):e7398

23. Choi JK, Kim YT, Kweon HI, Park EC, Choi SH, Lee JH. Effect of periodontitis on the development of osteoporosis: results from a nationwide population-based cohort study (2003-2013). BMC Womens Health. 2017;17(1):77

24. Heikkila P, But A, Sorsa T, Haukka J. Periodontitis and cancer mortality: Register-based cohort study of 68,273 adults in 10-year follow-up. Int J Cancer. 2018;142(11):2244-53

25. Michaud DS, Joshipura K, Giovannucci E, Fuchs CS. A prospective study of periodontal disease and pancreatic cancer in US male health professionals. J Natl Cancer Inst. 2007;99(2):171-5

26. Chang JS, Tsai CR, Chen LT, Shan YS. Investigating the Association Between Periodontal Disease and Risk of Pancreatic Cancer. Pancreas. 2016;45(1):134-41

27. Maisonneuve P, Amar S, Lowenfels AB. Periodontal disease, edentulism, and pancreatic cancer: a meta-analysis. Ann Oncol. 2017;28(5):985-95

28. Dizdar O, Hayran M, Guven DC, Yilmaz TB, Taheri S, Akman AC. et al. Increased cancer risk in patients with periodontitis. Curr Med Res Opin. 2017;33(12):2195-200

29. Perera M, Al-Hebshi NN, Speicher DJ, Perera I, Johnson NW. Emerging role of bacteria in oral carcinogenesis: a review with special reference to perio-pathogenic bacteria. J Oral Microbiol. 2016;8:32762

30. Schmidt J, Jentsch H, Stingu CS, Sack U. General immune status and oral microbiology in patients with different forms of periodontitis and healthy control subjects. PLoS One. 2014;9(10):e109187

31. Cifcibasi E, Ciblak M, Kiran B, Badur S, Firatli E, Issever H. et al. The role of activated cytotoxic T cells in etiopathogenesis of periodontal disease: does it harm or does it heal?. Sci Rep. 2015;5:9262

32. Seymour GJ, Ford PJ, Cullinan MP, Leishman S, Yamazaki K. Relationship between periodontal infections and systemic disease. Clin Microbiol Infect. 2007;13(Suppl 4):3-10

33. Mai X, LaMonte MJ, Hovey KM, Freudenheim JL, Andrews CA, Genco RJ. et al. Periodontal disease severity and cancer risk in postmenopausal women: the Buffalo OsteoPerio Study. Cancer Causes Control. 2016;27(2):217-28

34. Javed F, Warnakulasuriya S. Is there a relationship between periodontal disease and oral cancer? A systematic review of currently available evidence. Crit Rev Oncol Hematol. 2016;97:197-205

35. Boyapati R, Swarna C, Devulapalli N, Sanivarapu S, Katuri KK, Kolaparthy L. Unveiling the Link between Prostatitis and Periodontitis. Contemp Clin Dent. 2018;9(4):524-9

36. Famili P, Cauley JA, Greenspan SL. The effect of androgen deprivation therapy on periodontal disease in men with prostate cancer. J Urol. 2007;177(3):921-4

37. Joshi N, Bissada NF, Bodner D, Maclennan GT, Narendran S, Jurevic R. et al. Association between periodontal disease and prostate-specific antigen levels in chronic prostatitis patients. J Periodontol. 2010;81(6):864-9

Author contact

Corresponding address Corresponding author: Jae-Hong Lee, PhD, Department of Periodontology, Daejeon Dental Hospital, Wonkwang University College of Dentistry, 77, Dunsan-ro, Seo-gu, Daejeon 35233, Korea, E-mail: ljaehongcom, Tel.: +82-42-3661114, Fax: +82-42-3661115.


Received 2020-2-26
Accepted 2020-5-17
Published 2020-5-25