Article Type : Research Article
Authors : Chrysanthakopoulos NA and Vazintari V
Keywords : Classic Hodgkin’s Lymphoma; Periodontal dsease; Risk factors; Adults
Introduction:
Hodgkin’s Lymphoma (HL) is a lymphoma type which affects the lymphatic system.
Lymphomas are often divided into HLs and non-Hodgkin Lymphomas, whereas two
distinct types have also been defined, Classic HL (CHL), and Nodular
Lymphocyte-Predominant HL (NLPHL). The aim of the present research was to
estimate the possible role of conventional Periodontal Disease (PD) indices,
number of missing teeth and the risk of developing CHL.
Methods:
This retrospective case-control study was consisted of 98 individuals suffering
from CHL and 196 matching healthy ones, who were recruited from one Dental and
two Medical private practices, clinically examined and completed a
self-administered health questionnaire. The clinical variables assessed the
periodontal condition for CHL patients and healthy individuals concerned
Probing Pocket Depth (PPD), Clinical Attachment Loss (CAL), Gingival Index
(GI), and number of missing teeth. Statistical analysis was conducted using
Univariate and Logistic Regression models adjusted for possible confounders.
Results:
Male individuals (p= 0.018, OR= 1.976) with a CHL family history (p= 0.000,OR=
6.366), having an EBV infection history (p=0.022, OR=2.366), with worse PPD(p=
0.043, OR= 1.416), and worse CAL (p=0.033, OR=1.477), were statistically
significantly associated with the risk of CHL developing, compared to healthy
individuals, after controlling for smoking, educational and socio-economic
status.
Conclusion:
The current research suggested positive associations of male’s individuals with
CHL family history, EBV infection history, deeper periodontal pockets, and
mode-rate/severe attachment loss, with CHL development.
Hodgkin
lymphoma (HL), also known as Hodgkin disease, is an infrequent monoclonal
lymphoid neoplasm which is divided into two distinct categories, Classical
Hodgkin Lymphoma (CHL) and Nodular Lymphocyte-Predominant Hodgkin Lymphoma
(NLP-HL) [1]. CHL represents approximately 95% of all HL cases, and it is
further subdivided into four subtypes, Lymphocyte-Rich (LRHL), Nodular
Sclerosis (NSHL), Mixed Cellularity (MCHL), and Lymphocyte-Depleted (LDHL). Its
histological presentation con-sisted of dispersed large mononuclear Hodgkin and
multinucleated Reed-Sternberg cells on a non-neoplastic inflammatory cells
background, and characteristic neoplastic cells are frequently surrounded by T
lymphocytes [2]. The incidence of CHL subtypes is nodular sclerosis classical
Hodgkin lymphoma (70%), mixed cellularity classical HL (25%), lymphocyte-rich
classical Hodgkin lymphoma (5%), and lymphocyte-depleted classical HL (less
than 1%). NLPHL accounts for approximately 5% of Hodgkin lymphoma in general
[1]. The tumor usually affects young adults, and males, with an estimated
incidence rate of 2.6 cases per 100,000 individuals, and represents 11% of all
lymphoma cases diagnosed in the United States. It affects ages between 20 to 40
years old, whereas another peak from age 55 years and older, has been recorded
[2,3]. The most common subtype in young adults is Nodular sclerosis Hodgkin
lymphoma, whereas mixed cellularity Hodgkin lymphoma seems to affect older
individuals [1]. HL is one of the most common hematological malignancies of
unknown etiology, how-ever possible risk factors concern male gender, low
socio-economic status SES), HL fa-mily history, Epstein-Barr (EBV) and Human
Immunodeficiency Virus (HIV) infections, auto-immune diseases, and
immuno-suppression, and occupational exposure to atmospheric pollutants [1-3].
Prognosis depends on several prognostic factors, such as disease stage. The
5-year overall survival (OS) in stage 1 or 2a is approximately 90%, whereas
stage 4 disease has a 5year OS of approximately 60% [4]. PD and mainly the
severe type, periodontitis, is a chronic inflammatory disease which affects
supporting tissues of tooth, and is responsible for bacterial infection of
gingival tissue and surrounding bone structure tissues of teeth [5]. PD as a
chronic inflammatory reaction to the dental plaque pathogenic bacteria [6] might
lead to systemic inflammation, by increased several inflammatory biomarkers
levels in blood circulation, such as IL-6, C-reactive protein (CRP) [7] among
patients with periodontitis. The Global Burden of Disease (GBD) Study 2019
recorded approximately 1.1 billion cases of severe periodontitis in 2019, a
number that has nearly doubled since 1990 [8]. PD has also been associated with
diverse diseases, such as diabetes mellitus (DM) [9], cardiovascular diseases
(CVD) [10], rheumatoid arthritis [11], and several types of cancer [12-16], due
to possible shared factors [9,13,16,17]. In the last few decades, it has become
growingly essential to investigate the relationship between PD and various
types of cancer, as it has been associated with a total cancer and certain
location-specific cancers elevated risk [17,18]. The association between
inflammation and cancer development was suggested by R. Virchow, in 1863 when,
following the observation of leukocytes in neoplastic tissues, hypothesized
that chronic inflammation could contribute to the tumorigenic process. In the
following years, several reports proposed a strong association between chronic
inflammation and increased susceptibility to malignant transformation and
cancer development. It was estimated that up to 20% of all tumors arise from
conditions of persistent inflammatory response such as chronic infections or
autoimmune diseases [19]. However, controversial results have been reported,
even after controlling for potential confounders such as smoking status, SES,
etc. In contrast to the mentioned articles, no previous studies have
investigated the possible role of PD as a risk factor for CHL development.
Previous studies have examined the possible role of PD and risk of
hematopoietic cancers, and found strong and/or marginally significantly
associations with an increased risk of developing hematopoietic malignancies,
such as Non Hodgkin Lym-phoma (NHL), leukemias, and Multiple Myelomas (MMs) but
no with CHL [18,20-29].The mechanism for the mentioned association remains to
be elucidate, however, possible mechanisms by which periodontitis increases the
cancer risk are inflammation mediators which enter the blood circulation,
pathogen invasion into the blood circulation, and host’s Immuno-suppression
[30,31]. Periodontal bacteria could potentially translocate extra orally in
saliva via ingestion, and could infect esophagus [32] or colonic tissues [33],
or by aspiration could locate in the respiratory tract [34]. Periodontal
bacteria have been identified in lung aspirates [34], lymph nodes [35],
arteries [36], precancerous colon [37], gastric [38] lesions, and colorectal
[39] and esophageal cancers [40], and may promote a proper microenvironment
which can facilitate cancer progression [33,37, 41]. A recent study has focused
into the molecular mechanisms which links periodontitis with hematologic
diseases [42], and highlights the role of proteomic changes in PD patients and
their systemic effects, as it emphasizes how proteins implicated in
inflammation, immune response, and tissue regeneration are differentially
expressed in PD, potentially impacting hematologic health. Proteomic analysis
has detected that chronic periodontitis induces systemic inflammation
characterized by elevated levels of proinflammatory cytokines such as IL-6 and
CRP, as already mentioned. These inflammatory markers can affect hematopoiesis,
resulting in alterations in blood cell production and function, which are
crucial in patients with hematologic diseases like anemia and leukemia. Similar
recent studies reported that some viruses such as human papilloma, cytomegalic-
virus and Epstein Barr present in periodontal pockets and in dental plaque
[35,43] are implicated in oral cancer etiology. Epstein - Barr virus (EBV) is
considered to be associated with Burkitt lymphoma, HL, nasopharyngeal
carcinoma, and gastric cancer. No previous prospective or retrospective
epidemiological studies have been carried out in Greece for investigating the
possible association between PD indices, number of missing teeth and risk of
CHL development. The aim of the present case-control research was to explore
the possible association between PD variables, number of missing teeth and risk
of CHL development in a sample of Greek adult population.
Study
Design and Sample Size Determination Study size determination was evaluated
according to CHL prevalence and the EPI-TOOLS guidelines
(https://epitools.ausvet.com.au) [44] defined with 95% Confidence Interval (CI)
and desired power 0.8. That procedure led to a study size of 294 individuals,
160 males and 134 females aged 20-65 years, 98 suffered from CHL-cases and 196
healthy individuals -controls, who recruited from two medical and a dental
private practice between March 2024 and October 2025. CHL patients and healthy
participants were undergone an oral clinical examination, and completed an
administered medical and dental health questionnaire. The World Health
Organization (WHO) recommendations for evaluating periodontal condition
incidence were used for estimating age group [45].
To
be eligible, CHL patients and healthy individuals, should not have been given
any periodontal conservative or surgical treatment in the last six months, or
prescribed for systemic glucocorticoids or immunosuppression agents or systemic
antibiotic regimens within the previous six months, and they should also have
more than 20 teeth and suffering from periodontitis (stage I to IV) [46]. From
the study protocol were excluded those who suffered from systemic diseases or
disorders such as diabetes mellitus (DM), cardiovascular disease (CVD), acute
pulmonary diseases, or any other type of malignancies as those conditions could
possibly influence oral and periodontal tissues [47] and could lead to biased
secondary associations. Cases and controls were selected from the same friendly
and collegial environment, were resident of the same city, and were presented
to routine health follow-up at the mentioned practices. Members of the same
family were excluded from both groups. In an effort to eliminate potential
selection biases, healthy individuals were matched for age and smoking habits,
as those variables [48] are essential risk factors for periodontitis, and may
act as co-variates [49]. The mentioned preconditions were established the
initial diagnosis of HL can only be made by performing a lymph node biopsy.
Fine needle aspiration (FNA) or core needle biopsies are inadequate because the
architecture of the lymph node is extremely important for an accurate
diagnosis. CHL is a unique malignancy in that the tumor cells constitute the
cellular population minority and an inadequate biopsy may fail to include
malignant cells in the specimen. To confirm the diagnosis, it is necessary to
reveal the malignant reed Sternberg cell, which is of follicu-Lar center b-cell
origin, within the appropriate cellular environment of normal reactive
Lymphocytes, eosinophils and histiocytes [50]. Advanced stages chl patients
under medical treatment (chemotherapy, radiation theraPy, immunotherapy or
targeted therapy), and hospital patients were excluded from the Study protocol.
Cases
and controls completed a modified Medical Questionnaire [47] by Minnesota
Dental School. The collected data concerned the medical/dental history and
epidemiology parameters, such as age, gender, smoking status, SE, and
educational status, and parameters which could be considered as risk factors
for CHL development, such as a CHL family history, previous infection by EBV,
presence or absence of auto-immune disease [1-3]. Several auto-immune
conditions have been strongly associated with HL development, including
rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), sarcoidosis, and
immune thrombocytopenic purpura (ITP) [51]. For the treatment of the
above-mentioned diseases systemic glucocorticoids or immuno-suppression agents
are prescribed, however the protocol included individuals who appeared CHL
within six months after initial diagnosis of those auto-immune diseases. Cases
and controls’ age was classified as 20-30, 31-40, 41-50, 51-60, 61+,
educational status as elementary level and graduated from University/College,
socio-economic status as ? 1,000 and > 1,000 €/ month, and cigarette smoking
status was classified as never (individuals who smoked < 100 cigarettes
during their lifetime), and former (individuals Who smoked at least 100
cigarettes in their lifetime and reported that they now smoke “not at
all”)/current smokers (individuals who smoked at least 100 cigarettes in their
life time and reported they now smoke “every day” or “some days”). The
periodontal examinations were performed in a dental clinic using a Williams
(with a controlled force of 0.2N (DB764R, Aesculapius AG &Co. KG)
periodontal probe, mouth mirror, and dental light source. Third molars and
remain roots were excluded from scoring. The oral and dental examination
concerned the periodontal health condition and focused on probing pocket depth
(PPD), clinical attachment loss (CAL), and gingival index (GI). All PD indices
were assessed at four sites per tooth (mesiolingual, mesiobuccally,
dentilingual, and distobuccally) in all quadrants and the worst values of the
indices recorded to the nearest 1.0 mm, and coded as dichotomous variables. PPD
was classified as PPD stage I [maximum PPD ? 4.0 mm] and stage II-IV [PPD ? 4.0
- ? 6.0 mm] [46], CAL severity was classified as mild, 1-2.0 mm of attachment
loss and moderate/severe, ?3.0 mm of attachment loss [52]. Gingival inflammation
severity was coded as follows: score 0: gingival tissue normal situation and/or
mild gingival inflammation, which corresponds to Loe and Silness [53]
classification as score 0 and 1, respectively, and -score 1: moderate/severe
gingival inflammation which corresponds to the mentioned classification as
score 2 and 3, respectively. The number of missing teeth was coded as none,
1-4, 5-10, >10 missing teeth [54]. For establishment of the intra-examiner
variance the same was examined a randomly selected sample of 60 (20%) patients
and healthy individuals, by the same Dental Surgeon after three weeks, and no
differences were observed after the clinical examination (Cohen’s Kappa =
0.98). No oral hygiene instructions were given to the participants during the
period of three weeks.
In
Greece only experimental studies, such as clinical trials, etc. must be
approved by Authorities, such as Health Ministry, Health Organizations, etc.
The present research was a retrospective case-control study and was not
reviewed and approved by the mentioned Authorities. The individuals who agreed
to take part in the present research study obtained an informed consent form.
A
univariate model was applied for estimating the association between the
independent variables investigated and the risk of CHL development. Categorical
data were presented as frequencies and percentages. Socio-demographic factors
(age, SE and educational status), comorbidities (family history of CHL,
previous infection by EB virus, presence/ absence of auto-immune disease),
self-reported variables (smoking habits), were analyzed using the mentioned
model. A multivariate logistic regression model was applied (Enter, and
Stepwise step) to assess the possible associations among the indices
investigated, after adjustment for possible confounders. Unadjusted and
adjusted Odds Ratios (OR’s), and 95% CI (Confidence Interval) were also
assessed. Statistical analysis was performed using SPSS statistical package
(SPSS PC20.0, SPSS, Inc., Chicago, IL, USA), and a p value less than 5% (p<
0.05) was deemed to be statistically significant.
Table 1: Univariate analysis of cases and controls regarding each independent variable examined.
|
Variables |
Cases No % |
Controls No
% |
p-value |
Odds Ratio and 95% Confidence Interval |
|
Gender Males Females |
58 (59.2) 40 (40.8) |
102 (52.0) 94 (48.0) |
0.246
|
1.336 (0.818-2.183) |
|
Age 20-30 31-40 41-50 51-60 >61 |
25 (25.5) 17 (17.3) 12 (12.2) 24 (24.5) 20 (20.4) |
35 (17.9) 37 (18.9) 40 (20.4) 54 (27.6) 30 (15.3) |
0.227 |
______ |
|
Socio-economic
status Low High |
55 (56.1) 43 (43.9) |
88 (44.9) 108 (55.1) |
0.069 |
1.570
(0.963-2.558) |
|
Education
level Low High |
53 (54.1) 45 (45.9)
|
99 (50.5) 97 (49.5) |
0.813 |
1.088
(0.543-2.178) |
|
Auto-immune
disease
Absence
Presence |
86 (87.8) 12 (12.2) |
171 (87.2) 25 (12.8.) |
0.901 |
1.048
(0.502-2.188)
|
|
CHL family
history Absence Presence |
61 (62.2) 37 (37.8) |
55 (28.1) 141 (71.9) |
0.000* |
4.227
(2.529-7.064) |
|
Cigarette
Smoking Never Previous/Current |
35 (35.7) 63 (64.3) |
90 (45.9) 106 (54.1) |
0.095 |
1.528
(0.927-2.519)
|
|
Previous
EBV infection Absence Presence |
40 (40.8) 58 (59.2) |
115 (58.7) 81 (41.3) |
0.004* |
2.059
(1.257-3.371) |
|
Probing pocket
depth (PPD) ? 4.00 mm ? 4.0 - ? 6.0 mm |
38 (38.8) 60 (61.2) |
105 (53.6) 91 (46.4) |
0.017* |
0.549
(0.335-0.889) |
|
Clinical
Attachment Loss (CAL) Absence/Mild: 1.00-2.00 mm Moderate/Severe: ? 3.0 mm
|
33 (33.7) 65 (66.3) |
101 (51.5) 95 (48.5) |
0.004* |
0.478
(0.288-0.790)
|
|
Gingival Index
(GI) Absence/Mild Inflammation Moderate/Severe
Inflammation |
48 (49.0) 50 (51.0) |
104 (53.1) 92 (46.9) |
0.509 |
1.178
(0.725-1.913) |
|
Tooth Loss None 1-4 Teeth 5-10 Teeth > 10 Teeth |
12 (12.2) 37 (37.8) 29 (29.6) 20 (20.4) |
19
(9.7) 65 (33.2) 68 (34.7) 44 (22.4) |
0.696 |
______ |
|
* p-value :
statistically significant |
||||
Table 2: Presentation of association between potentially risk factors and BGC according to Enter (first step-1a) and Wald (laststep 8a) method of multivariate logistic regression analysis model.
|
Variables in the Equation |
|||||||||
|
|
B |
S.E. |
Wald |
df |
Sig. |
Exp(B) |
95% C.I.for EXP(B) |
||
|
Lower |
Upper |
||||||||
|
Step 1a |
Gender |
,669 |
,294 |
5,192 |
1 |
,023* |
1,952 |
1,098 |
3,470 |
|
Age.groups |
,011 |
,100 |
,012 |
1 |
,913 |
,989 |
,813 |
1,204 |
|
|
EB.history.inf |
,495 |
,303 |
3,699 |
1 |
,062* |
1,884 |
1,120 |
2,288 |
|
|
HL.family.hist |
1,724 |
,321 |
28,897 |
1 |
,000* |
5,605 |
2,990 |
10,509 |
|
|
Autoimm.dis |
,109 |
,297 |
,134 |
1 |
,714 |
1,073 |
,363 |
1,851 |
|
|
Socioecom.stat |
-,066 |
,286 |
,054 |
1 |
,817 |
,936 |
,534 |
1,641 |
|
|
Educ.level |
-,258 |
,294 |
,771 |
1 |
,380 |
,772 |
,434 |
1,375 |
|
|
Cigar.smok |
,348 |
,229 |
1,243 |
1 |
,122 |
1,115 |
1,623 |
1,997 |
|
|
Prob.Poc.Depth |
,604 |
,301 |
4,030 |
1 |
,045* |
1,829 |
1,214 |
2,297 |
|
|
Clin.Att.Loss |
,664 |
,312 |
4,527 |
1 |
,043* |
1,942 |
1,154 |
2,579 |
|
|
Ging.Index |
,229 |
,307 |
,556 |
1 |
,456 |
1,257 |
,689 |
2,296 |
|
|
Numb.Miss.Teeth |
,255 |
,159 |
2,586 |
1 |
,108 |
,775 |
,568 |
1,057 |
|
|
Constant |
1,955 |
,552 |
12,547 |
1 |
,000 |
,141 |
|
|
|
|
Step 8a |
Gender |
,681 |
,288 |
5,581 |
1 |
,018* |
1,976 |
1,123 |
3,477 |
|
EB.history.inf |
,669 |
,292 |
5,259 |
1 |
,022* |
2,366 |
1,512 |
3,501 |
|
|
HL.family.hist |
1,851 |
,301 |
37,929 |
1 |
,000* |
6,366 |
3,532 |
11,473 |
|
|
Prob.Poc.Depth |
,597 |
,295 |
4,080 |
1 |
,043* |
1,416 |
1,118 |
2,241 |
|
|
Clin.Att.Loss |
,630 |
,296 |
4,526 |
1 |
,033* |
1,477 |
1,251 |
2,353 |
|
|
Constant |
2,254 |
,378 |
35,626 |
1 |
,000 |
,105 |
|
|
|
|
a. Variable(s) entered on step 1: gender, age.groups, EB.history.inf,
HL.family.hist, Autoimm.dis,
Socioecom.stat, Educ.level, cigar.smok, Prob.Poc.Depth, Clin.Att.Loss,
Ging.Index, Numb. Miss. Teeth. |
|||||||||
|
* p-value : statistically significant |
|||||||||
The
mean age of the study sample was 49 ± 2.1 years. Cases consisted of the main
type of HL, CHL, as the second type, NLPHL represented an extremely low size.
Moreover, regarding the auto-immune diseases of the sample, 37 individuals, 12
cases, and 25 controls appeared such diseases. Eight individuals who suffered
from CHL appeared RA, three SLE, and one sarcoidosis, whereas the number of
those without CHL were 14, seven, and four, respectively. Table 1 displays the
outcomes after application of Univariate analysis, and showed that the presence
of a CHL family history, previous EBV infection, deeper periodontal pockets
(PPD), and moderate/severe attachment loss (CAL) were statistically
significantly associated with risk for CH development. Table 1 also shows
Unadjusted OR’s and 95% CI for each variable analyzed. After application of the
first step (step 1a -Enter method) of the regression model it was found that,
except the mentioned variables, male gender was significantly associated with
risk of CHL appearance (Table 2). Table 2 also presents Adjusted OR’s and 95%
CI for each variable examined. The final step (step 8a – Wald method) of
multivariate regression analysis model method showed (Table 2) that males
(p=0.018, OR=1.976, 95% CI= 1.123-3.477), previous EBV infection (p=0.022, OR=
2.366, 95% CI=1.512-3.501), CHL family history (p=0.000, OR=6.366, 95% CI=
3.532-1.473), deeper periodontal pockets (p= 0.043, OR=1.416, 95% CI= 1.118-2.241),
and moderate/severe attachment loss (p= 0.033, OR= 1.477, 95% CI= 1.251-2.353),
were statistically significantly associated with risk for developing CHL, after
adjusting for known confounders.
The
last decades the association between PD, gingivitis and mainly periodontitis,
and cancer risk has been explored, leading in most cases in conflicting
outcomes. PD as a chronic inflammatory disease has been associated with diverse
systemic diseases and disorders [55-58]. A great amount of research studies has
investigated the association between oral health status and various types of
cancers. Most reported that periodontitis or the number of missing teeth were
associated with an increased risk of several cancers in diverse populations
[13,17,59-64]. However, those associations have little practical significance
as prevention indices [15], even though useful aspects have been provided on
the role of PD treatment in decreasing the risk of different types of cancers
[65]. The current report showed that conventional risk factors for CHL
development, such as age, SES, educational level, cigarette smoking, and
presence of auto-immune diseases were not significantly associated with and
increased risk for CHL appearance. Those observations were not in agreement
with the outcomes of previous researches, in which adolescents and young adults
[2,3,66], low SES and educational level [2,3,67], cigarette smoking [2,3,68],
and presence of diseases such as RA, SLE, sarcoidosis, and ITP [51,69-74], were
at a higher risk of CHL. Moreover, epidemiological parameters such as age, SES,
educational level, and smoking have been considered as confounders. Presence of
a CHL family history and history of previous EBV infection were found to be
statistically significantly associated with the risk of CHL development among
the indices investigated, findings which were in accordance with those from
previous reports [1,2,66]. The outcomes also showed that deep periodontal
pockets, expressed by PPD and moderate/severe attachment loss, expressed by CAL
were significantly associated with risk of developing CHL, findings that were
not confirmed by previous studies, as the available ones have investigated the
mentioned possible association for hematopoietic malignancies such as Acute
Myeloid (AM) and Lymphoblastic Leukemia (ALL), the Chronic ones (CML, CLL),
their diverse variants, and NHL. PPD is used for estimating PD severity [75],
as is a current disease inflammation status indicator [76], and CAL is a
critical index for estimating cumulative periodontal tissue destruction,
including previous PD attacks. The mentioned indices concern the chronic
inflammation long-term stages including the chronic inflammatory response
destructive signs [77]. Gingival inflammation, as expressed by GI and number of
missing teeth were also not statistically associated with risk of CHL
development, in the current study. Similarly, no previous studies have examined
the mentioned possible associations. GI reflects gingival inflammation
severity, nevertheless that index is not used regularly in epidemiological
studies regardless of that estimates the gingival tissues inflammatory load. A
specific role has been suggested for gingival inflammation as a risk factor for
diverse cancer types [78], whereas other researchers observed no relationships
[79,80]. Tooth loss is the advanced periodontitis final outcome. Previous
prospective studies have recorded an association between number of missing
teeth and the cancer risk in various locations [18, 80, 81]. Similarly,
case-control surveys, have recorded powerful links between tooth loss and
pancreatic [15], upper gastrointestinal [82], lung [83], gastric [84],
esophageal [85], oral [83], and ovarian [62] cancers.
The
mechanism which is implicated in cancer development in PD patients is still
remain unclear. An hypothesized role of immune-inflammatory mechanisms and
inflammation in both periodontitis and cancer has been suggested [18]. The
periopathogenic bacteria and their by-products associated with chronic
periodontitis can lead to chronic systemic inflammation [86,87] not only at the
oral tissue but even at distant locations [88]. That periodontal bacteria
accumulation has been detected at local or distant locations, are able to
infiltrate through infected periodontal tissues into the systemic circulation
and reach those distant locations [87], such as various organs and tissues,
lymph nodes [35], arteries [36,89] etc. At the target location, periodontal
pathogens may create an appropriate micro-environment which is able to
contribute to cancer progression [14,37,41]. Inflammation is a cancer hallmark
[90], and PD is an infectious process that induces chronic low?grade
inflammation and, persistent low?grade inflammation has been associated with
cancer initiation [19,91,92]. Inflammatory response can generate Reactive
Oxygen Species (ROS) and active intermediates producing oxidative/ nitrosative
stress, which may lead to DNA mutations, or they may affect the DNA repair
mechanisms [93]. The inflammatory cells may further contribute to the cells
damage by producing ROS, cytokines, chemokines, and arachidonic acid
metabolites. Those products recruit various inflammatory cells and maintain a
vicious cycle [93]. Periopathogenic bacteria such as Porphyromonas gingival is
and Aggregatibacter actinomycetemcomitans are anaerobic, gram?negative bacteria
which colonize sub gingival biofilms in periodontitis patients [94]. Those
bacteria produce and release enzymes which deconstruct the extra-cellular
matrix ingredients including collagen, process that leads to substrates
production which increase tissue invasion [95]. The released bacterial
endotoxins, enzymes, and metabolic by-products are toxic to tissues, may cause
direct damage to neighboring epithelial cells DNA, and they can induce
mutations in proto-oncogenes and tumor suppressor genes, or alterations in
molecular signaling pathways involved in cell survival, differentiation or
proliferation [96]. Oral bacteria may also induce carcinogenesis by
constitutively activating toll?like receptors (TLRs), such as TLR5 [95]. TLR5s
are present on the innate immune system cells surfaces, have been associated
with epithelial and cancer cells [97] and are implicated in proliferation,
inflammation, invasion, and anti-tumor immune responses evasion [98,99].
Porphyromonas gingival is and Fusobacterium nucleatum can promote tumor
progression by activating TLRs on oral epithelial cells to up-regulate the
IL-6/STAT3 signaling pathway [100]. PD may also increase cancer risk through
the chronic release of inflammatory mediators or immune system dysregulation
[19, 101-103], or may affect carcinogenesis through the increased exposure to
carcinogenic nitrosamines [104]. Oral bacteria and nitrosamines generation is increased
in oral cavity in individuals with poor oral hygiene and PD [62]. Consequently,
anti-inflammation therapy in PD individuals reduces the systemic inflammation
biomarkers and may decrease subsequent cancer risk. On the contrary, Hwang, et
al. [65] recorded that anti-inflammation treatment did not reduce the lymphatic
and hematopoietic cancers risk. Tooth loss was found to be positively
associated with risk of certain cancers such as head and neck, esophageal, and
lung cancers [62], as mentioned. Moreover, a dose response meta-analysis
reported that each ten-tooth loss was associated with a 3% increase of risk of
hematopoietic cancer [105]. Periodontal bacteria may contribute to
carcinogenesis by influencing cell proliferation and activation of nuclear
factor NF-?B and inhibiting apoptosis [106]. PD plaque is in many cases not
under reasonable control, driving periodontal bacteria to disseminate and
accumulate in some locations of the human organism through the digestive or
respiratory tract, or endocrine system, contributing to cancer development
[107-109]. Oral bacteria in the blood circulation, particularly their
lipopolysaccharide component (LPS), can induce systemic inflammatory responses
[110]. Inflammatory mediators released from chronic PD, such as Il-6, tumor
necrosis factor-alpha (TNF-?), and prostaglandin E2 (PGE2), can escape through
damaged periodontal tissue pockets and produce systemic effects in the whole
organism [111]. Recent epidemiological studies have investigated the risk of
hematopoietic and lymphatic cancers in individuals with periodontitis
[18,30,112-115]. However, these studies resulted in contradictory outcomes.
Chronic periodontitis could lead to increased risks of hematological cancers
[112], and severe PD was associated with a two-fold higher risk of
hematological cancers, including leukemia and other hematological cancers
[113]. Michaud, et al. [18] confirmed such an association even after
controlling for smoking and other risk factors, as was observed that PD was
found to be statistically significant-ly associated with an increased risk of
hematopoietic cancers, whereas among never smokers, PD was associated with
statistically significantly increases in hematopoietic cancers. Similar
researches revealed no association between PD and hematopoietic malignancies,
such as leukemia’s and lymphatic cancers [30,114,115]. As shown, few previous
and recent reports have observed an increased risk of AML, ALL and other
hematopoietic malignancies development among individuals with PD however,
considerable limitations of those included inadequate sample sizes and
adjustment for potential confounders. The strengths and limitations of the
current research should be taken into account in interpretation of the observed
outcomes. Strengths of the study are the completeness of follow-up, the
well-characterized cohort which it was possible to examine both confounding and
interaction by known risk factors, in order to avoid secondary biased
associations. Another critical aspect is PD definition by oral clinical
examination and not by self-report, therefore no potential misclassification of
exposure to PD exists that may result in the underestimation of the association
examined. Another limitation is the possibility of confounding in estimates of
risk caused by additional unknown confounders.
The
present study showed that males with a family CHL history, a history of
previous EBV infection, with deep periodontal pockets (PPD), and
moderate/severe attachment loss (CAL) were significantly associated with an
increased risk of developing CHL.