Next Article in Journal
Lipoproteins Are Potent Activators of Nuclear Factor Kappa B in Mammary Epithelial Cells and Virulence Factors in Mycoplasma bovis Mastitis
Previous Article in Journal
Is the Illegal Trade of Glass Eels (Anguilla anguilla) Increasing the Spread of Disease? A Case of EVEX
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Microorganisms
Volume 10
Issue 11
10.3390/microorganisms10112206
microorganisms-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Oral Microbiota and Tumor—A New Perspective of Tumor Pathogenesis

by
Simin Li
1,†,
Mingxin He
1,†,
Yumeng Lei
1,†,
Yang Liu
2,
Xinquan Li
1,
Xiaochen Xiang
1,
Qingming Wu
1 and
Qiang Wang
1,*
1
Institute of Infection, Immunology and Tumor Microenvironment, Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Medical College, Wuhan University of Science and Technology, Wuhan 430065, China
2
Wuhan Asia General Hospital Affiliated to Wuhan University of Science and Technology, Wuhan 430065, China
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Microorganisms 2022, 10(11), 2206; https://doi.org/10.3390/microorganisms10112206
Submission received: 22 September 2022 / Revised: 18 October 2022 / Accepted: 31 October 2022 / Published: 8 November 2022
(This article belongs to the Section Medical Microbiology)
Browse Figure
Review Reports Versions Notes

Abstract

:
Microorganisms have long been known to play key roles in the initiation and development of tumors. The oral microbiota and tumorigenesis have been linked in epidemiological research relating to molecular pathology. Notably, some bacteria can impact distal tumors by their gastrointestinal or blood-borne transmission under pathological circumstances. Certain bacteria drive tumorigenesis and progression through direct or indirect immune system actions. This review systemically discusses the recent advances in the field of oral microecology and tumor, including the oncogenic role of oral microbial abnormalities and various potential carcinogenesis mechanisms (excessive inflammatory response, host immunosuppression, anti-apoptotic activity, and carcinogen secretion) to introduce future directions for effective tumor prevention.

1. Introduction

In recent years, increasing studies have shown a direct link between the gut microbiota and the development of various human diseases. They may reduce the effectiveness of drugs [1], affect the development and behavior of the host’s brain [2], and play an important role in tumor occurrence, progression, and treatment [3]. The oral microbiota is the second most complex microbiota in the human body, besides the gut microbiota. It can also impact health and has been associated with oral inflammation, local and systemic diseases, and cancer. Disturbances in the diversity and ratios of species within the oral microbiota lead to dysbiosis and an increased risk of associated diseases, including periodontitis [4].
The common oral microbiota, also known as symbiotic bacteria, causes no discomfort to the body nor is it beneficial. Streptococcus dentisani is a common inhabitant of the oral microbiota, worldwide, which inhibits the growth of pathogens through the production of bacteriocins [5]. Members that can cause infection in the host are called oral pathogens (e.g., Prevotella, Selenomonas, and Atopobium) [6]. Selenomonas may cause serious human diseases including bacteremia [7], and they are associated with asthma severity [8]. In addition, certain members, called opportunistic pathogens, are not pathogenic under normal conditions but can cause disease under specific conditions such as by decreasing the host’s immune defenses or dysbiosis. Several oral taxa, especially Porphyromonas gingivalis (P. gingivalis) and Fusobacterium nucleatum (F. nucleatum), have been shown to have carcinogenic potential through several diverse mechanisms [9]. Accordingly, this review is focused on elucidating the relationship between oral microbiota and tumors (Figure 1).

2. Systemic Involvement of Oral Microecology

An eclectic and diverse assemblage of microbiota inhabits different sites within the oral cavity, and more than 700 bacterial species or phylotypes have been identified [10,11]. The oral cavity has several distinct microbial habitats, including the subgingival plaque, supragingival plaque, buccal mucosa, keratinized gingiva, saliva, hard palate, tongue, and tonsil [12]. The previous study analyzed the tongue dorsum, hard palate, and several different parts of the oral cavity and saliva with or without rinsing in 20 healthy subjects, and it demonstrated that no significant differences were seen between the study participants [13]. Therefore, the saliva microbiota and oral wash microbiota, including other bacterial components in the oral cavity, show long-term stability, which can reflect the oral microbiota to a certain extent [14]. The microorganisms that are detected in saliva may be diagnostic markers for many diseases, so saliva can provide a ‘window’ to explore personal health [15]. Likewise, an oral wash can be used to provide a sample to analyze the oral microbiota characteristics [16].
Oral pathogens spread to distant organs through oral and maxillofacial blood circulation or participate in systemic circulation through the gastrointestinal tract [17]. The imbalance of the oral microecology is not only associated with oral diseases, but it is also confirmed to be related to the occurrence and development of several systemic diseases such as cardiovascular diseases [18], respiratory diseases [19], immune system diseases [20], metabolic diseases [21], and even nervous system diseases [22]. At the same time, oral pathogens play an important role in cancer development such as in colorectal cancer [23]. Subsequent studies should provide a deeper and more comprehensive understanding of the oral microecology based on the changes in the oral microbiota (including changes in abundance and diversity) in diseased and healthy states.

3. Dysregulated Oral Microbiota Poses a Challenge to the Immune System

Oral microbiota maintains a dynamic symbiotic relationship of dependence and constraint with the host’s immunity. It is well established that microbial communities can form a natural barrier with colonization resistance (including the production of adhesions, lectins, amylases, mucins, etc.) which can resist the colonization and establishment of exogenous microorganisms [24]. Willems et al. argued that Candida albicans (C. albicans) might decrease the cariogenic potential of a Gram-positive bacterium such as Streptococcus pyogenes by increasing the pH within mixed biofilms [25]. The common microbiota members, such as Staphylococcus epidermidis, can also inhibit the formation of Staphylococcus aureus biofilm [26].
An interspecific interaction may affect their ability to adhere to and invade epithelial cells. For example, Streptococcus sanguinis can affect the biofilm formation and the expression of the pathogenic genes spaP, gtfB, and gbpB in Streptococcus mutans [27]. Treponema denticola can form pores within the biofilms and facilitate the flow of nutrients to pathogenic bacteria such as P. gingivalis [28]. Overall, the invading pathogens can affect the mechanism of the epithelial barrier function by manipulating the barrier-associated genes or proteins to adhere and subsequently, internalize or by directly disrupting the connections to provide access to the underlying tissue [29,30]. Representative pathogens include F. nucleatum, Bacteroides forsythus, and Aggregatibacter actinomycetemcomitans (A. actinomycetemcomitans). These members possess potent virulence factors, including lipopolysaccharide (LPS) and metalloproteinases (MMPs), which facilitate their entry into the underlying tissues and stimulate the release of proinflammatory cytokines [31].
The variability in the relative abundance, structural composition and space of different bacterial species may, to some extent, transform highly organized biofilm communities from a fragile symbiotic state to an imbalanced one. In the case of a disbalance (dysbiosis), the leakage of these microbial products negatively affects the immune system, including by activating the extracellular matrix degradation pathway and destroying the immune-related signal pathways, thereby contributing to a chronic proinflammatory state or cancer [32,33,34]. The selection and enrichment of pathogenic bacteria, such as K. aerogenesa, potentially enhance the local or distal destructive inflammatory responses by activating inflammasome-mediated IL-1 signaling in macrophages [35]. Infection by opportunistic pathogens such as P. gingivalis and A. actinomycetemcomitans can induce a differentiated production of cytokines and bacterial products, including IL-1, IL-6, IL-8, and TNF-α [36].
Restoring the oral microecology from an imbalanced state to a normal state for oral diseases and even oral mucositis that is induced by chemoradiotherapy has not yet been reported. There is a distinctive predominant bacterial flora of the healthy oral cavity that is highly diverse and is different from that of oral diseases. Aas J A et al. detected 141 different representative bacterial taxa in the oral cavity of healthy people [10]. However, when these bacteria lose their colonization advantage, the oral microbiome transforms into a dysbiotic state, including a PH imbalance and symbiotic biofilms dysbiosis, which may accelerate the pathological processes of numerous diseases by serving as a storeroom for opportunistic pathogens [37]. More importantly, studies have shown that invasive pathogens can use specific pathways such as the T6SS gene cluster to protect their ecological niche and maintain colonization [38]. However, there is still a lack of research on how to recover dysfunctional oral microbiota.

4. Is the Oral Microbiota a Cause or a Consequence of Tumorigenesis?

The imbalance, colonization, and translocation of the oral microbiota are likely to be important influences on the progression of tumors in situ or distantly [39,40]. Oral anaerobes are potentially pathogenic, particularly F. nucleatum and P. gingivalis, which are closely associated with various types of tumors [41,42]. Some aerobic bacteria, such as Parvimonas, are also associated with tumorigenesis [43]. An imbalance in the overall bacterial community (change of diversity metrics) is involved in the development of tumors, which is mainly based on chronic inflammation and immunosuppressive. The changes in the abundance of individual bacterial species, particularly Peptostreptococcus, Prevotella, and Parvimonas, can also induce chronic inflammation. These bacteria cause the up-regulation of numerous cytokines (IL-1β, IL-6, IL-17, IL-23, TNF-α, etc.) and inflammatory mediators (matrix metalloproteinases MMP-8 and MMP-9) [44,45]. Identifying the relationship between the tumors and the oral microecology in a complex biological environment is essential and urgently needs to be achieved.
In addition, tumor progression may be driven by interactions between the host’s immune system and the microbial metabolites (in the case of lactate and dietary tryptophan metabolites, for example). Lactate can recruit and induce immunosuppressive cell types, such as regulatory T cells, tumor-associated macrophages, and myeloid-derived suppressor cells, thereby suppressing the anti-tumor immune responses [46]. Metabolites of dietary tryptophan activate the aryl hydrocarbon receptor in myeloid cells, promoting an immune-suppressive tumor microenvironment and facilitating pancreatic ductal adenocarcinoma growth [47].
Furthermore, there are multiple ways for cancer cells to evade detection and destruction by the immune system during tumor development, namely immune evasion. Carcinogens produced by microbiota contribute to the immune escape of tumors by interfering with the recognition ability of the immune cells and depleting T cells [48]. Certain oral microbiota and their metabolites have tumor-promoting properties, while the tumor microenvironment contributes to the colonization of the microbiota. In conclusion, oral microbiota has attracted reasonable attention for its involvement in tumor progression. More studies are needed to provide evidence to support that oral microbial therapy could offer a striking clinical benefit for cancer patients.

4.1. Oral Cancer and Oral Microbiota

Oral cancer is one of the most common malignancies of the head and neck, of which more than 90% are oral squamous cell carcinomas (OSCC) [49]. Poor oral hygiene and chronic inflammation alter specific microbiota, which together with their metabolites, are risk factors for the development and progression of oral cancer [50]. In particular, biological dysbiosis in the oral cavity of patients with periodontitis may lead to potentially malignant mucosal lesions in the oral cavity, thereby promoting the development and progression of cancer [51,52].
Researchers have used a bioinformatics analysis to note significant differences in the abundance and diversity of oral microbiota in the cancer patient group compared to those in the healthy group [53]. In terms of oral microbiota distribution, the ratios of dominant bacteria Staphylococcus and Rothia were significantly higher in the cancer group than they were in the control group [54]. Furthermore, the saliva having direct contact with the oral cancer lesions makes it a more specific and potentially sensitive screening tool, whereas more than 100 salivary biomarkers (DNA, RNA, mRNA, and protein markers) have already been identified, including cytokines (IL-8, IL-1b, TNF-α), defensin-1, P53, Cyfra 21-1, tissue polypeptide-specific antigen, dual-specificity phosphatase, spermidine/spermineN1-acetyltransferase, profilin, cofilin-1, transferrin, and many more [49]. These studies suggest that colonization by specific microbiota might be important for the development and prognosis of oral cancer (Table 1).
The relationship between some single species-specific microorganisms such as pathogens and cancer has been investigated. For instance, Staphylococcus aureus, a pathogen which is prevalent in oral cancer, can also activate the COX-2/PGE 2 pathway in human oral keratinocytes (HOK) cells and play a role in tumor progression [58]. Polymicrobial interactions of C. albicans with other members of the oral microbiome have been reported to enhance the malignant phenotype of oral cancer cells, such as the attachment to extracellular matrix molecules (ECM) and epithelial–mesenchymal transition (EMT) [59]. One possible mechanism is that C. albicans could create ideal conditions for pathogens to survive and colonize, and this co-infection might lead to more severe pathogenicity and drug resistance [60]. On the other hand, The presence of C. albicans increased the production of extracellular polysaccharides (EPS) and the coexistence of EPS with Candida albicans induced the expression of Streptococcus pyogenes virulence genes (e.g., gtfB, fabM) [61,62].
The metabolic propensity of the oral microbiota further reveals the mechanisms of oral carcinogenesis. The most abundant microbial metabolic pathways in the tumor tissues of oral cancer patients were those related to fatty-acid biosynthesis, carbon metabolism, and amino acid metabolism [53]. For instance, a Pseudomonas gingivalis infection significantly increases the level of free fatty acids in the tongue and serum of mice, thereby altering the fatty acid profile, exacerbating the disruption of fatty acid metabolism, and ultimately promoting the development of oral cancer [63].

4.2. Gastric Cancer and Oral Microbiota

Gastric cancer (GC) is a major health problem in many countries with high incidence and mortality rates [64]. Other than the host factors (genetics and age), the environmental factors including microbial infections have been shown to contribute to gastric carcinogenesis [65]. In recent years, studies on the relevance of oral microecology to GC have been increasing, and these have revealed that the oral microbiota may play an important role in GC and precancerous stages (Table 2).
As a note of interest, the similarities between the gastric and oral microecology can be observed in cohort studies [66,67,69]. Oral symbionts including Parvimonas, Eikenella, Prevotella-2, Slackia, Selenomonas, Bergeyella, and Capnocytophaga have been identified with high relative abundances in the gastric mucosa of GC patients [65]. The translocation and diffusion of the oral microbiota may induce the occurrence and progression of GC through distal effects. As an early warning and a preventive indicator of precancerous lesions and GC, Helicobacter pylori (H. pylori) is not only present in the stomach of patients with GC, but it can also be detected in the oral cavity [68,74]. H. pylori could affect the retention and colonization of the oral microbiota by inducing the production of salivary mucin MUC5 B and MUC7 [75].
One possible mechanism for the involvement of the oral microbiota in carcinogenesis is the enrichment of pro-inflammatory oral bacterial species. GC patients’ saliva and gastric mucosa are enriched with Corynebacterium, which is increasingly reported as an emerging opportunistic pathogen in cancer, hematological malignancy, and in critically ill patients [66]. Fusobacterium species have also received a lot of attention due to their pro-inflammatory nature, with TLR4 and autophagy playing very important roles in the inflammation that they induce [73]. Furthermore, Campylobacter concisus which is enriched in the tongues of patients with gastritis could induce the expression of cytokines and chemokines such as TNF, IL-1β, and IL-10 [71].
Another possible mechanism for the involvement of the oral microbiota in carcinogenesis is the abnormal enrichment of bacterial metabolites, which are direct-acting carcinogens, and these could persist stably in the gastrointestinal tract. Studies have shown that acid-producing bacteria and carbohydrate metabolic pathways were more abundant in patients with GC, which results in the significant formation of short-chain fatty acids (SCFA) and lactate [73]. Lactate, as a source of energy for tumor cells, was able to induce the cellular glycolytic pathways, increase the ATP supply, enhance inflammation, and activate tumor angiogenesis [76,77]. However, it is not clear why in some cases these bacterial metabolites present inhibitory effects in inflammatory responses and cancer development [78,79,80], whereas in others, they have the opposite effect [81,82]. The fact that different concentrations of them are enriched in the host and different molecular mechanisms are activated on various types of cells might partly explain these contradictions. Meanwhile, the salivary microbiota of GC patients is involved in the upregulation of the isoleucine and valine biosynthetic pathways [66]. Purines could regulate the immune cell responses and cytokine release, contributing to the tumor microenvironment [68]. In addition, a decreased abundance of hexitol metabolism-related microbial gene families and metabolic pathways and an increased abundance of microbial TCA cycles II and VII were associated with an increased GC risk [72]. The oral microbiota including Streptococcus salivarius, Streptococcus retardans, and Streptococcus mucosus may produce alcohol dehydrogenase (ADH), which metabolizes ethanol into carcinogenic acetaldehyde [83].
Of great attention is the nitrosamine hypothesis of gastric carcinogenesis [84,85]. Studies have shown that when they are compared with those of the non-cancer group, the metabolic enzymes related to denitrification, including nitrate reductase and nitrous oxide reductase, were enriched in the gastric microbiota of the cancer group. Most microorganisms in the stomach are considered to come from the external environment, particularly the oral cavity. The oral microbiota can enter the stomach through saliva and cause pathological changes in the corresponding areas [86]. The accumulation of nitrogenous compounds such as nitrates and nitrites in the stomach increases the risk of GC and promotes the malignant transformation of cells in the stomach [68]. Studies have also revealed a low relative abundance of Haemophilus parainfluenzae and Nitrospirae in GC patients. These are both nitrate-reducing bacteria that convert nitrate to nitrite or nitric oxide (NO) for their absorption through the oral vasculature or to be swallowed into the gastrointestinal system. The accumulation of N-nitroso compounds in the gastrointestinal tract may increase the cancer risk [66]. These findings support that there are complex causal relationships between the salivary microbiota and the gastric tumor formation.

4.3. Colorectal Cancer and Oral Microbiota

Colorectal cancer (CRC) is a common malignant tumor of the gastrointestinal tract with an increasing incidence in the last decade [87,88,89]. The causes of CRC are complex and include a variety of factors such as high-fat and low-fiber dietary habits and obesity [90]. In recent years, mounting evidence supports the link between the oral microbiota and CRC (Table 3), with persistent periodontal inflammation exacerbating the development of CRC [91].
F. nucleatum is a well-known pro-inflammatory, aggressive anaerobic oral pathogen that is capable of participating in the progression of CRC [44,101]. The outer membrane protein Fap2 is known to mediate bacterial enrichment in CRC by binding to tumor-expressed Gal-GalNAc. The adhesin FadA promotes E-cadherin/β-catenin signaling and prevents immune attacks by binding its bacterial protein Fap2 to the inhibitory immune receptor TIGIT on NK and T cells [98,102,103]. F. nucleatum host-cell binding and invasion induces the IL-8 and CXCL1 secretion that drives CRC cell migration [9]. Furthermore, F. nucleatum can also bind to CEACAM1 to evade an immune attack and generate a pro-inflammatory microenvironment by recruiting tumor-infiltrating immune cells [104,105]. Hong et al. showed that F. nucleatum targets lncRNA ENO1-IT1 to promote glycolysis and oncogenesis in colorectal cancer [106]. Therefore, targeted therapies such as targeting the ENO1 pathway may have implications for the treatment of CRC patients with elevated F. nucleatum levels. These results raise the possibility that the oral microbiome may play an important role in CRC etiology.
Notably, Carolina et al. found a high similarity between the F. nucleatum strains that were found in tumor tissues and saliva from CRC patients, highlighting the oral origin of them and strengthening the hypothesis of an oral-driven dysbiosis of intestinal ecology in CRC [107]. Subsequently, by analysis of the stool samples from 252 healthy and advanced CRC subjects, a significant increase in the relative abundance of the species of oral-derived microbiota, including but not limited to Peptostreptococcus stomatis, Parvimonas micra, Gemella morbillorum, and F. nucleatum, was found in the gut of CRC patients [95]. To determine the mechanism by which oral bacteria diffuse into the gut, Bolei Li et al. observed the bacterial colonization of the gastrointestinal tract by transplanting human saliva into germ-free (GF) mice [108]. On these bases, the mechanisms of transfer of the oral microbiota in the pathogenesis of CRC have been proposed: (i) The transmission of the oral bacteria to the intestinal environment through continuous swallowing. The oral bacteria that are capable of resisting the harsh acidic gastric environment can maintain their viability through this pathway [107]. The most representative one is P. gingivalis, a characteristic contributing to its migration to the distal tissues, thereby altering the composition and functional capacity of the residual microbiota in the pathological gut [44]. (ii) The spread of the oral bacteria into the intestinal environment via the bloodstream (bacteremia) or a lymphatic route. During oral cleaning, a tooth extraction and bacteremia, the gingival epithelium breaks down or becomes more permeable, whereby the oral microbiota may spread directly to the distal area through the bloodstream [109]. During chronic periodontitis, the circulatory system appears to be the most efficient way for F. nucleatum to reach the colorectum [110,111]. (iii) The altered intestinal environment encourages the invasion and colonization of the oral bacteria in the gut [112]. The invasion of oral microbiota inevitably results in the instability of the commensal microbiota and facilitates the colonization of it by oral opportunistic pathogens [44]. Of these, Prevotella intermedia was thought to cooperate with other oral pathogens to colonize the colon and persist as a population, forming an inflammatory microenvironment that may promote the development of CRC [97].
The oral microbiota reaches the intestinal mucosal sites and negatively affects CRC through immunosuppressive and toxic effects. On the one hand, the intestinal translocation of the oral bacteria may cause intestinal mucosal damage. The metabolic profile of the oral bacteria in the colon is characterized by the glycolytic and proteolytic metabolism, which is capable of degrading mucin and extracellular matrix in the colon, leading to the infiltration of the mucus layer and the invasion of the mucosa through disruption of the epithelial junctions [107]. In addition, the oral members of the gut microbiota were also able to metabolize tryptophan into various derivatives (tryptamine, indole, and fecal odorant) that modulate the immune response of the colonic epithelium by binding to the aryl hydrocarbon receptor (AhR) [44]. Among them, specific bacterial species with tumor-promoting properties may activate the inflammasome and NF-κB cascade pathway and induce DNA damage in the intestinal epithelium, thereby promoting CRC [111]. On the other hand, various carcinogenic metabolites, reactive oxygen species, and polyamines which are synthesized by members of the oral microbiota may also be causative factors [107]. For example, oral-derived bacteria such as A. actinomycetemcomitans, F. nucleatum, P. intermedia, and P. gingivalis could produce volatile sulfur compounds (VSCs), including hydrogen sulfide (H2S), which have a toxic and inflammatory potential even at low concentrations [113]. Peptostreptococcus anaerobius can also increase the cholesterol production and the cell proliferation in a reactive oxygen-dependent manner, thereby promoting colon cancer formation [114].
The oral microbiota of CRC patients is unique and predictive, so testing the oral microbiota may provide new directions for the prevention and screening of CRC [115]. Burkhardt et al. used a combination of oral and fecal microbiota to test for CRC with higher specificity (95%) and sensitivity (88%) than the commonly used Fecal Immuno-Test (FIT) can, suggesting that the information from the oral microbiota could potentially improve the performance of current diagnostic tests [98]. Particularly promising is its high sensitivity (88%) for detecting colorectal adenomas because of the importance of the early detection of colonic disease for cancer prognosis and treatment [98].

4.4. Pancreatic Cancer and Oral Microbiota

The incidence and mortality of pancreatic cancer (PC) (including non-ductal tumors, pancreatic ductal adenocarcinoma (PDAC) and its classical precursor lesions) have been on the rise, worldwide [116,117]. It has been found in many epidemiological surveys that poor oral health can lead to an increased risk of PC [17]. A meta-analysis showed an overall positive association between periodontitis and pancreatic cancer, even after adjusting for the common risk factors [118].
The mechanism of the link between oral disease and PC is unclear, but it may be related to alterations in the oral microbiome. Several cohort studies have reported associations among oral health, periodontitis (PD), and PC risk, and increased levels of antibodies associated with oral microbiota are associated with a higher risk of PC (Table 4). Both cohort studies by Céline Tiffon et al. and Ai-Lin Wei et al. showed that the saliva microbiota can distinguish between normal and cancer patients as well as being a promising non-invasive diagnostic tool for PDAC [119,120]. Similarly, Lu et al. demonstrated a significant increase in the microbiome diversity in the tongue coat of PHC patients [121].
Interestingly, the conventional view is that the pancreas is a sterile organ, yet in the cancer setting, there is a distinctly specific microbiota in the pancreatic capsule fluid samples which overlaps with the oral microbiota [126,127]. Gaiser et al. observed the coexistence and enrichment of the oral bacterial taxa including F. nucleatum and Granulicatella adiacens in the cyst fluid of IPMN with high-grade dysplasia [118]. In addition, the study of Alkharaan et al. showed that circulating antibodies against commensal oral bacteria appeared to be elevated in the PC patients [125]. Therefore, the oral microbiota may metastasize and colonize the PC through blood circulation, causing alterations to the tumor microenvironment [17]. The researchers speculate that, on the one hand, the hypoxic and immunosuppressive nature of the pancreatic tumor microenvironment supports the preferential growth of oral anaerobic bacteria [118]. On the other hand, the similarity in function that is shared between the pancreas and the salivary glands may also create a biological environment that attracts similar microorganisms [119].
The systemic transmission of dysregulated oral microorganisms and their toxins may modulate the signaling pathways and metabolic pathways, which contributes to the risk of PC. Gnanasekaran et al. demonstrated that intracellular P. gingivalis promotes the tumorigenic behavior of pancreatic cancer cells by the activation of the Akt signaling cascade [128]. Bacterial metabolites (short-chain fatty acids, secondary bile acids, polyamines, indole derivatives, etc.) could also play an important role in microbiome-driven pancreatic adenocarcinoma [129]. Thus, the oral microbiota may serve as a potential biomarker for pancreatic cancer detection to identify high-risk individuals for pancreatic cancer initiation, progression, or poor prognosis and improve our understanding of its pathogenesis [130].

4.5. Lung Cancer and Oral Microbiota

Lung cancer is one of the malignant tumors with the fastest increase in morbidity and mortality, posing a great threat to human health and life [131]. It is well known that smoking is a major risk factor for lung cancer. Studies have shown that the alpha diversity in smokers in the buccal mucosa is significantly lower than it is in nonsmokers, and the relative abundance of different taxa was significantly different due to their smoking status [132].
Recently, it has been found that the oral microbiota has a potential role in lung cancer (Table 5). Mi Young Lim et al. compared the oral microbiota of patients with lung cancer to a healthy control group, and they found that there were significant differences in the structure of the oral microbiota; the Shannon diversity index was significantly lower [133]. The risk of lung cancer was negatively correlated with the α diversity of the oral microbiota, and the abundance of some specific taxa can be used as potential biomarkers [134]. Another large prospective study on the oral microbiome and lung cancer also demonstrated that multiple oral microbial measures were associated with lung cancer risk, especially in squamous cell carcinoma and smokers [135].
Moreover, common oral microbiota members can usually be detected in the lower respiratory tract of lung cancer patients. By investigating the infection of P. gingivalis in lung cancer tissues, Liu et al. proposed that long-term smoking and alcohol consumption would cause a bad oral environment and increase the risk of P. gingivalis infection, and then, P. gingivalis infection will promote the malignant progression of lung cancer [137]. The enrichment of oral bacteria Veillonella parvula may relate to the up-regulation of the carcinogenic pathways (such as IL-17, PI3K, MAPK, and ERK pathways) and the activation of the checkpoint inhibitor markers, thereby affecting tumor progression and prognosis [136]. More research should be carried out to explore the possibility of this potential targeted therapy.

4.6. Breast Cancer and Oral Microbiota

The incidence of breast cancer (BC) is increasing year after year, ranking first in the incidence of female cancer [138]. A meta-analysis shows that periodontal disease may be a potential risk factor for women suffering from breast cancer [139]. Many oral microbial metrics were strongly associated with breast cancer and nonmalignant breast diseases [140]. It is proved that F. nucleatum can bind to Fap2 in breast cancer tissue in a dependent manner, inhibit the accumulation of tumor-infiltrating T cells, and promote the growth and metastasis of tumors, which can be offset by an antibiotic treatment. Therefore, targeting F. nucleatum or Fap2 may be beneficial in the clinical treatment of breast cancer [141]. The further exploration of the effect of bacteria on breast cancer will provide new ideas for the diagnosis and treatment of breast cancer.

5. Conclusions

More and more evidence has indicated that there is a close relationship between the oral microbiota and tumor occurrence including in oral cancer, gastric cancer, colorectal cancer, pancreatic cancer, lung cancer, and breast cancer. There are three possible mechanisms of action of the oral microbiota in the pathogenesis of tumors [23]. Firstly, oral microbiota dysbiosis leads to chronic inflammation in which the inflammatory mediators that are produced induce or promote cell proliferation, mutation, oncogene activation, and angiogenesis [142]. For example, oral streptococci may be involved in the formation of certain reactive oxygen species (ROS), which induce apoptosis and tissue damage by damaging the nucleic acids, proteins, and lipids [143]. Secondly, oral microbiota dysbiosis may affect the metabolic pathways of host cells and promote tumorigenesis by affecting cell proliferation, cytoskeletal rearrangement, NF-κB activation, and the inhibition of apoptosis [144]. Thirdly, oral microbiota dysbiosis produces some oncogenic substances (e.g., the bacteria convert ethanol to acetaldehyde—a recognized carcinogen) and induces the malignant transformation of cells [145].
Certain oral microbial species can be observed in the saliva, subgingival plaque, mucosal tissue, tumor surface and intratumoral tissue, thus interring that oral microbiota may reach distal sites through different pathways to promote the tumorigenic process. Hematogenous spread is a possible acute incision route of oral pathogens during tooth extraction or trauma, particularly in patients with periodontitis who have high levels of periodontal pathogens, as transient bacteremia accompanies routine oral hygiene practices [128]. In addition, the osseo-enamel junction may also be a pathway for microbial invasion into chronic oral hygiene. Park Do-Young et al. suggested that the gingival sulcus (GS) and the junctional epithelium (JE) are the weakest point for microbes to invade the human body, where oral pathogens can settle for life and infiltrate the blood vessels and circulate throughout the body [146]. Gastrointestinal spread is another important route. The ecological invasion of the gut by the oral microbiota has a significant impact on digestive health. Among these, P. gingivalis has been shown to cause the dysbiosis of the intestinal microbiota, impairing the mucosal barrier function and leading to the spread of intestinal bacteria to the liver [108]. Overall, since the oral bacteria are actively participating in the induction of gut microbiota dysbiosis and tumor proliferation, targeting the microbiota to modulate the immune response reveals new avenues for cancer immunotherapy.
Interestingly, with the maturation of fecal transplantation techniques and their clinical application, a small number of dental researchers have hypothetically proposed oral microbiota transplantation (OMT). OMT may represent a cost-effective approach and can better reach the hard-to-reach, high-risk populations. However, based on the current state of knowledge, clinical recommendations for the use of OMT cannot be provided at this time. It is essential to better understand the retention of the transplanted oral biofilm while maintaining the natural balance between the resident oral microbiota and the host’s immune response [17].
At present, the early diagnosis of tumors, especially the early diagnosis of asymptomatic tumors, is receiving increasing attention. Traditional tumor detection methods all have various limitations, making it difficult to perform the large-scale screening of early-stage tumors [147]. Therefore, the early screening of susceptible people through non-invasive methods has become a hot topic in current tumor diagnosis research. As a valuable, non-invasive and easy-to-collect diagnostic tool, saliva holds great promise for biomarker research and development, health and disease monitoring and personalized medicine [148]. Salivary exosomes can transport tumor-specific contents to different parts of the body, including the salivary glands, resulting in the presence of disease-recognition markers in the saliva [149]. Zhou et al. reported the results of saliva testing in 47 patients with oral squamous cell carcinoma and showed that the average diagnostic accuracy based on oral microbiota was over 90% [55]. Huang’s cohort study [66] and Sun’s cohort study [69] both demonstrated the accuracy and sensitivity of using saliva microbiota to screen for GC (AUC of 91% and 97%, respectively). These studies suggest that the detection of oral microbiota is conducive to more accurate large-scale, low-cost screening of early-stage tumors and has promising applications [150,151].
Is it time to pay attention to the oral microbiota with insight into its therapeutic effect for cancer therapy? Oral microbiomes should continue to be explored in future trials to establish the scientific and clinical basis for tumor prevention and amelioration. To fully understand the relationship between pathogenic microorganisms and disease, future experiments could focus on the mechanisms of pathogen involvement in tumorigenesis by testing the response of human cells to living or heat-killed bacteria, or even to purified bacteriocin at the molecular level. Advances in the identification of biomarkers to personalize the treatment based on the patient’s unique microbiota and immunity profile will advance the treatment of tumors. A new era of oral microbiome research will benefit cancer patients.

Author Contributions

Q.W. (Qiang Wang) organized the writing of this review. S.L., M.H., Y.L. (Yumeng Lei), Y.L. (Yang Liu), X.L., X.X. and Q.W. (Qingming Wu) divided the remaining tasks of writing. All authors have read and agreed to the published version of the manuscript.

Funding

This project was financially supported by the Scientific Research and Innovation Fund of Wuhan Asia General Hospital (Project No. 2022KYCX1-A04); 2020 General Planning Fund Project for Humanities and Social Sciences of the Ministry of Education, China (Project No. 20YJA880053); Key research project of philosophy and social sciences of Hubei Provincial Department of Education in 2020 (Project No. 20D026); WUST National Defence Pre-research Foundation, China (Project No. GF202003); Hubei Province Key Laboratory of Occupational Hazard Identification and Control, Wuhan University of Science and Technology (Project No. OHIC2020G05).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

This study has not involved humans.

Data Availability Statement

Not applicable.

Acknowledgments

This thesis would not have been possible without the consistent and valuable references provided by our supervisor, whose insightful guidance and enthusiastic encouragement in shaping this thesis have gained our deepest gratitude.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Klünemann, M.; Andrejev, S.; Blasche, S.; Mateus, A.; Phapale, P.; Devendran, S.; Vappiani, J.; Simon, B.; Scott, T.A.; Kafkia, E.; et al. Bioaccumulation of therapeutic drugs by human gut bacteria. Nature 2021, 597, 533–538. [Google Scholar] [CrossRef]
  2. Wu, W.L.; Adame, M.D.; Liou, C.W.; Barlow, J.T.; Lai, T.T.; Sharon, G.; Schretter, C.E.; Needham, B.D.; Wang, M.I.; Tang, W.; et al. Microbiota regulate social behaviour via stress response neurons in the brain. Nature 2021, 595, 409–414. [Google Scholar] [CrossRef]
  3. Rizvi, Z.A.; Dalal, R.; Sadhu, S.; Kumar, Y.; Kumar, S.; Gupta, S.K.; Tripathy, M.R.; Rathore, D.K.; Awasthi, A. High-salt diet mediates interplay between NK cells and gut microbiota to induce potent tumor immunity. Sci. Adv. 2021, 7, eabg5016. [Google Scholar] [CrossRef]
  4. Tuominen, H.; Rautava, J. Oral Microbiota and Cancer Development. Pathobiology 2021, 88, 116–126. [Google Scholar] [CrossRef]
  5. López-Santacruz, H.D.; López-López, A.; Revilla-Guarinos, A.; Camelo-Castillo, A.; Esparza-Villalpando, V.; Mira, A.; Aranda-Romo, S. Streptococcus dentisani is a common inhabitant of the oral microbiota worldwide and is found at higher levels in caries-free individuals. Int. Microbiol. 2021, 24, 619–629. [Google Scholar] [CrossRef]
  6. Kong, J.; Zhang, G.; Xia, K.; Diao, C.; Yang, X.; Zuo, X.; Li, Y.; Liang, X. Tooth brushing using toothpaste containing theaflavins reduces the oral pathogenic bacteria in healthy adults. 3 Biotech 2021, 11, 150. [Google Scholar] [CrossRef]
  7. Pomeroy, C.; Shanholtzer, C.J.; Peterson, L.R. Selenomonas bacteraemia—Case report and review of the literature. J. Infect. 1987, 15, 237–242. [Google Scholar] [CrossRef]
  8. Kim, Y.C.; Choi, S.; Sohn, K.H.; Bang, J.Y.; Kim, Y.; Jung, J.W.; Kim, H.Y.; Park, J.; Kim, K.; Kang, M.G.; et al. Selenomonas: A marker of asthma severity with the potential therapeutic effect. Allergy 2022, 77, 317–320. [Google Scholar] [CrossRef]
  9. Casasanta, M.A.; Yoo, C.C.; Udayasuryan, B.; Sanders, B.E.; Umaña, A.; Zhang, Y.; Peng, H.; Duncan, A.J.; Wang, Y.; Li, L.; et al. Fusobacterium nucleatum host-cell binding and invasion induces IL-8 and CXCL1 secretion that drives colorectal cancer cell migration. Sci. Signal. 2020, 13, eaba9157. [Google Scholar] [CrossRef]
  10. Aas, J.A.; Paster, B.J.; Stokes, L.N.; Olsen, I.; Dewhirst, F.E. Defining the normal bacterial flora of the oral cavity. J. Clin. Microbiol. 2005, 43, 5721–5732. [Google Scholar] [CrossRef]
  11. Bai, H.; Yang, J.; Meng, S.; Liu, C. Oral Microbiota-Driven Cell Migration in Carcinogenesis and Metastasis. Front. Cell. Infect. Microbiol. 2022, 12, 864479. [Google Scholar] [CrossRef] [PubMed]
  12. Park, S.Y.; Hwang, B.O.; Lim, M.; Ok, S.H.; Lee, S.K.; Chun, K.S.; Park, K.K.; Hu, Y.; Chung, W.Y.; Song, N.Y. Oral-Gut Microbiome Axis in Gastrointestinal Disease and Cancer. Cancers 2021, 13, 2124. [Google Scholar] [CrossRef]
  13. Seidel, C.L.; Gerlach, R.G.; Wiedemann, P.; Weider, M.; Rodrian, G.; Hader, M.; Frey, B.; Gaipl, U.S.; Bozec, A.; Cieplik, F.; et al. Defining Metaniches in the Oral Cavity According to Their Microbial Composition and Cytokine Profile. Int. J. Mol. Sci. 2020, 21, 8218. [Google Scholar] [CrossRef]
  14. Chen, H.; Xie, H.; Shao, D.; Chen, L.; Chen, S.; Wang, L.; Han, X. Oral Microbiota, a Potential Determinant for the Treatment Efficacy of Gastric Helicobacter pylori Eradication in Humans. Pol. J. Microbiol. 2022, 71, 227–239. [Google Scholar] [CrossRef] [PubMed]
  15. Lee, W.H.; Chen, H.M.; Yang, S.F.; Liang, C.; Peng, C.Y.; Lin, F.M.; Tsai, L.L.; Wu, B.C.; Hsin, C.H.; Chuang, C.Y.; et al. Bacterial alterations in salivary microbiota and their association in oral cancer. Sci. Rep. 2017, 7, 16540. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Durack, J.; Christian, L.S.; Nariya, S.; Gonzalez, J.; Bhakta, N.R.; Ansel, K.M.; Beigelman, A.; Castro, M.; Dyer, A.M.; Israel, E.; et al. Distinct associations of sputum and oral microbiota with atopic, immunologic, and clinical features in mild asthma. J. Allergy Clin. Immunol. 2020, 146, 1016–1026. [Google Scholar] [CrossRef]
  17. Mohammed, H.; Varoni, E.M.; Cochis, A.; Cordaro, M.; Gallenzi, P.; Patini, R.; Staderini, E.; Lajolo, C.; Rimondini, L.; Rocchetti, V. Oral Dysbiosis in Pancreatic Cancer and Liver Cirrhosis: A Review of the Literature. Biomedicines 2018, 6, 115. [Google Scholar] [CrossRef] [Green Version]
  18. Jiménez, C.; Garrido, M.; Pussinen, P.; Bordagaray, M.J.; Fernández, A.; Vega, C.; Chaparro, A.; Hoare, A.; Hernández, M. Systemic burden and cardiovascular risk to Porphyromonas species in apical periodontitis. Clin. Oral Investig. 2021, 26, 993–1001. [Google Scholar] [CrossRef]
  19. Liu, Z.; Zhang, T.; Wu, K.; Li, Z.; Chen, X.; Jiang, S.; Du, L.; Lu, S.; Lin, C.; Wu, J.; et al. Metagenomic Analysis Reveals a Possible Association Between Respiratory Infection and Periodontitis. Genom. Proteom. Bioinform. 2021, 16, 252–261. [Google Scholar] [CrossRef]
  20. Bregaint, S.; Boyer, E.; Fong, S.B.; Meuric, V.; Bonnaure-Mallet, M.; Jolivet-Gougeon, A. Porphyromonas gingivalis outside the oral cavity. Odontology 2021, 110, 1–19. [Google Scholar] [CrossRef]
  21. Si, J.; Lee, C.; Ko, G. Oral Microbiota: Microbial Biomarkers of Metabolic Syndrome Independent of Host Genetic Factors. Front. Cell. Infect. Microbiol. 2017, 7, 516. [Google Scholar] [CrossRef] [Green Version]
  22. Ribeiro, A.S.; Silva, D.A.; Silva, F.P.; Santos, G.C.; Campos, L.M.; Oliveira, L.V.; Santos, D.A. Epidemiology and phospholipase activity of oral Candida SPP. Among patients with central nervous system diseases before and after dental cleaning procedure. Braz. J. Microbiol. 2010, 41, 19–23. [Google Scholar] [CrossRef] [Green Version]
  23. Karpiński, T.M. Role of Oral Microbiota in Cancer Development. Microorganisms 2019, 7, 20. [Google Scholar] [CrossRef] [Green Version]
  24. He, X.; McLean, J.S.; Guo, L.; Lux, R.; Shi, W. The social structure of microbial community involved in colonization resistance. ISME J. 2014, 8, 564–574. [Google Scholar] [CrossRef] [Green Version]
  25. Willems, H.M.; Kos, K.; Jabra-Rizk, M.A.; Krom, B.P. Candida albicans in oral biofilms could prevent caries. Pathog. Dis. 2016, 74, ftw039. [Google Scholar] [CrossRef] [Green Version]
  26. Iwase, T.; Uehara, Y.; Shinji, H.; Tajima, A.; Seo, H.; Takada, K.; Agata, T.; Mizunoe, Y. Staphylococcus epidermidis Esp inhibits Staphylococcus aureus biofilm formation and nasal colonization. Nature 2010, 465, 346–349. [Google Scholar] [CrossRef]
  27. Wen, Z.T.; Yates, D.; Ahn, S.J.; Burne, R.A. Biofilm formation and virulence expression by Streptococcus mutans are altered when grown in dual-species model. BMC Microbiol. 2010, 10, 111. [Google Scholar] [CrossRef] [Green Version]
  28. Howard, K.C.; Gonzalez, O.A.; Garneau-Tsodikova, S. Porphyromonas gingivalis: Where do we stand in our battle against this oral pathogen? RSC Med. Chem. 2021, 12, 666–704. [Google Scholar] [CrossRef]
  29. Abdulkareem, A.A.; Shelton, R.M.; Landini, G.; Cooper, P.R.; Milward, M.R. Periodontal pathogens promote epithelial-mesenchymal transition in oral squamous carcinoma cells in vitro. Cell Adhes. Migr. 2018, 12, 127–137. [Google Scholar] [CrossRef] [Green Version]
  30. Abdulkareem, A.A.; Shelton, R.M.; Landini, G.; Cooper, P.R.; Milward, M.R. Potential role of periodontal pathogens in compromising epithelial barrier function by inducing epithelial-mesenchymal transition. J. Periodontal Res. 2018, 53, 565–574. [Google Scholar] [CrossRef]
  31. Brock, M.; Bahammam, S.; Sima, C. The Relationships Among Periodontitis, Pneumonia and COVID-19. Front. Oral Health 2021, 2, 801815. [Google Scholar] [CrossRef] [PubMed]
  32. Diaz, P.I.; Hoare, A.; Hong, B.Y. Subgingival Microbiome Shifts and Community Dynamics in Periodontal Diseases. J. Calif. Dent. Assoc. 2016, 44, 421–435. [Google Scholar] [PubMed]
  33. Radstake, T. Extraintestinal translocation of microbes and tissue specificity in rheumatic musculoskeletal disease (RMD): Its more than a gut feeling. Ann. Rheum. Dis. 2018, 77, 1702–1704. [Google Scholar] [CrossRef] [PubMed]
  34. Yang, W.; Cong, Y. Gut microbiota-derived metabolites in the regulation of host immune responses and immune-related inflammatory diseases. Cell. Mol. Immunol. 2021, 18, 866–877. [Google Scholar] [CrossRef] [PubMed]
  35. Kitamoto, S.; Nagao-Kitamoto, H.; Jiao, Y.; Gillilland, M.G., 3rd; Hayashi, A.; Imai, J.; Sugihara, K.; Miyoshi, M.; Brazil, J.C.; Kuffa, P.; et al. The Intermucosal Connection between the Mouth and Gut in Commensal Pathobiont-Driven Colitis. Cell 2020, 182, 447–462.e414. [Google Scholar] [CrossRef]
  36. Groeger, S.; Meyle, J. Oral Mucosal Epithelial Cells. Front. Immunol. 2019, 10, 208. [Google Scholar] [CrossRef] [Green Version]
  37. Tuganbaev, T.; Yoshida, K.; Honda, K. The effects of oral microbiota on health. Science 2022, 376, 934–936. [Google Scholar] [CrossRef]
  38. Serapio-Palacios, A.; Woodward, S.E.; Vogt, S.L.; Deng, W.; Creus-Cuadros, A.; Huus, K.E.; Cirstea, M.; Gerrie, M.; Barcik, W.; Yu, H.; et al. Type VI secretion systems of pathogenic and commensal bacteria mediate niche occupancy in the gut. Cell Rep. 2022, 39, 110731. [Google Scholar] [CrossRef]
  39. Fan, X.; Alekseyenko, A.V.; Wu, J.; Peters, B.A.; Jacobs, E.J.; Gapstur, S.M.; Purdue, M.P.; Abnet, C.C.; Stolzenberg-Solomon, R.; Miller, G.; et al. Human oral microbiome and prospective risk for pancreatic cancer: A population-based nested case-control study. Gut 2018, 67, 120–127. [Google Scholar] [CrossRef] [Green Version]
  40. Mascitti, M.; Togni, L.; Troiano, G.; Caponio, V.C.A.; Gissi, D.B.; Montebugnoli, L.; Procaccini, M.; Lo Muzio, L.; Santarelli, A. Beyond Head and Neck Cancer: The Relationship Between Oral Microbiota and Tumour Development in Distant Organs. Front. Cell. Infect. Microbiol. 2019, 9, 232. [Google Scholar] [CrossRef]
  41. Wang, X.; Jia, Y.; Wen, L.; Mu, W.; Wu, X.; Liu, T.; Liu, X.; Fang, J.; Luan, Y.; Chen, P.; et al. Porphyromonas gingivalis Promotes Colorectal Carcinoma by Activating the Hematopoietic NLRP3 Inflammasome. Cancer Res. 2021, 81, 2745–2759. [Google Scholar] [CrossRef]
  42. Yang, Y.; Jobin, C. Far reach of Fusobacterium nucleatum in cancer metastasis. Gut 2020, 70, 1427–1429. [Google Scholar] [CrossRef]
  43. Sun, J.; Tang, Q.; Yu, S.; Xie, M.; Xie, Y.; Chen, G.; Chen, L. Role of the oral microbiota in cancer evolution and progression. Cancer Med. 2020, 9, 6306–6321. [Google Scholar] [CrossRef]
  44. Koliarakis, I.; Messaritakis, I.; Nikolouzakis, T.K.; Hamilos, G.; Souglakos, J.; Tsiaoussis, J. Oral Bacteria and Intestinal Dysbiosis in Colorectal Cancer. Int. J. Mol. Sci. 2019, 20, 4146. [Google Scholar] [CrossRef] [Green Version]
  45. Zhao, X.; Liu, J.; Zhang, C.; Yu, N.; Lu, Z.; Zhang, S.; Li, Y.; Li, Q.; Liu, J.; Liu, D.; et al. Porphyromonas gingivalis exacerbates ulcerative colitis via Porphyromonas gingivalis peptidylarginine deiminase. Int. J. Oral Sci. 2021, 13, 31. [Google Scholar] [CrossRef]
  46. Hayes, C.; Donohoe, C.L.; Davern, M.; Donlon, N.E. The oncogenic and clinical implications of lactate induced immunosuppression in the tumour microenvironment. Cancer Lett. 2021, 500, 75–86. [Google Scholar] [CrossRef]
  47. Frankel, T.L.; Pasca di Magliano, M. Immune sensing of microbial metabolites: Action at the tumor. Immunity 2022, 55, 192–194. [Google Scholar] [CrossRef]
  48. Vinasco, K.; Mitchell, H.M.; Kaakoush, N.O.; Castaño-Rodríguez, N. Microbial carcinogenesis: Lactic acid bacteria in gastric cancer. Biochim. Biophys. Acta Rev. Cancer 2019, 1872, 188309. [Google Scholar] [CrossRef]
  49. Khurshid, Z.; Zafar, M.S.; Khan, R.S.; Najeeb, S.; Slowey, P.D.; Rehman, I.U. Role of Salivary Biomarkers in Oral Cancer Detection. Adv. Clin. Chem. 2018, 86, 23–70. [Google Scholar] [CrossRef]
  50. Chattopadhyay, I.; Verma, M.; Panda, M. Role of Oral Microbiome Signatures in Diagnosis and Prognosis of Oral Cancer. Technol. Cancer Res. Treat. 2019, 18, 1533033819867354. [Google Scholar] [CrossRef]
  51. Amer, A.; Galvin, S.; Healy, C.M.; Moran, G.P. The Microbiome of Potentially Malignant Oral Leukoplakia Exhibits Enrichment for Fusobacterium, Leptotrichia, Campylobacter, and Rothia Species. Front. Microbiol. 2017, 8, 2391. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  52. He, Y.; Gong, D.; Shi, C.; Shao, F.; Shi, J.; Fei, J. Dysbiosis of oral buccal mucosa microbiota in patients with oral lichen planus. Oral Dis. 2017, 23, 674–682. [Google Scholar] [CrossRef] [PubMed]
  53. Gopinath, D.; Menon, R.K.; Wie, C.C.; Banerjee, M.; Panda, S.; Mandal, D.; Behera, P.K.; Roychoudhury, S.; Kheur, S.; Botelho, M.G.; et al. Differences in the bacteriome of swab, saliva, and tissue biopsies in oral cancer. Sci. Rep. 2021, 11, 1181. [Google Scholar] [CrossRef]
  54. Guo, N.; Zhou, L.X.; Meng, N.; Shi, Y.P. Associations of oral and intestinal florae and serum inflammatory factors with pathogenesis of oral cancer. Eur. Rev. Med. Pharmacol. Sci. 2020, 24, 11090–11095. [Google Scholar] [CrossRef] [PubMed]
  55. Zhou, X.; Hao, Y.; Peng, X.; Li, B.; Han, Q.; Ren, B.; Li, M.; Li, L.; Li, Y.; Cheng, G.; et al. The Clinical Potential of Oral Microbiota as a Screening Tool for Oral Squamous Cell Carcinomas. Front. Cell. Infect. Microbiol. 2021, 11, 728933. [Google Scholar] [CrossRef] [PubMed]
  56. Al-Hebshi, N.N.; Nasher, A.T.; Idris, A.M.; Chen, T. Robust species taxonomy assignment algorithm for 16S rRNA NGS reads: Application to oral carcinoma samples. J. Oral Microbiol. 2015, 7, 28934. [Google Scholar] [CrossRef] [Green Version]
  57. Rai, A.K.; Panda, M.; Das, A.K.; Rahman, T.; Das, R.; Das, K.; Sarma, A.; Kataki, A.C.; Chattopadhyay, I. Dysbiosis of salivary microbiome and cytokines influence oral squamous cell carcinoma through inflammation. Arch. Microbiol. 2021, 203, 137–152. [Google Scholar] [CrossRef]
  58. Wang, Y.; Liu, S.; Li, B.; Jiang, Y.; Zhou, X.; Chen, J.; Li, M.; Ren, B.; Peng, X.; Zhou, X.; et al. Staphylococcus aureus induces COX-2-dependent proliferation and malignant transformation in oral keratinocytes. J. Oral Microbiol. 2019, 11, 1643205. [Google Scholar] [CrossRef] [Green Version]
  59. Arzmi, M.H.; Dashper, S.; McCullough, M. Polymicrobial interactions of Candida albicans and its role in oral carcinogenesis. J. Oral Pathol. Med. 2019, 48, 546–551. [Google Scholar] [CrossRef]
  60. Zhou, Y.; Cheng, L.; Lei, Y.L.; Ren, B.; Zhou, X. The Interactions Between Candida albicans and Mucosal Immunity. Front. Microbiol. 2021, 12, 652725. [Google Scholar] [CrossRef]
  61. Falsetta, M.L.; Klein, M.I.; Colonne, P.M.; Scott-Anne, K.; Gregoire, S.; Pai, C.H.; Gonzalez-Begne, M.; Watson, G.; Krysan, D.J.; Bowen, W.H.; et al. Symbiotic relationship between Streptococcus mutans and Candida albicans synergizes virulence of plaque biofilms in vivo. Infect. Immun. 2014, 82, 1968–1981. [Google Scholar] [CrossRef] [Green Version]
  62. Janus, M.M.; Crielaard, W.; Volgenant, C.M.; van der Veen, M.H.; Brandt, B.W.; Krom, B.P. Candida albicans alters the bacterial microbiome of early in vitro oral biofilms. J. Oral Microbiol. 2017, 9, 1270613. [Google Scholar] [CrossRef] [Green Version]
  63. Wu, J.S.; Zheng, M.; Zhang, M.; Pang, X.; Li, L.; Wang, S.S.; Yang, X.; Wu, J.B.; Tang, Y.J.; Tang, Y.L.; et al. Porphyromonas gingivalis Promotes 4-Nitroquinoline-1-Oxide-Induced Oral Carcinogenesis with an Alteration of Fatty Acid Metabolism. Front. Microbiol. 2018, 9, 2081. [Google Scholar] [CrossRef] [Green Version]
  64. Wang, Y.C.; Lu, S.; Zhou, X.J.; Yang, L.; Liu, P.; Zhang, L.; Hu, Y.; Dong, X.Z. miR-1273h-5p suppresses CXCL12 expression and inhibits gastric cancer cell invasion and metastasis. Open Med. 2022, 17, 930–946. [Google Scholar] [CrossRef]
  65. Zhang, X.; Li, C.; Cao, W.; Zhang, Z. Alterations of Gastric Microbiota in Gastric Cancer and Precancerous Stages. Front. Cell. Infect. Microbiol. 2021, 11, 559148. [Google Scholar] [CrossRef]
  66. Huang, K.; Gao, X.; Wu, L.; Yan, B.; Wang, Z.; Zhang, X.; Peng, L.; Yu, J.; Sun, G.; Yang, Y. Salivary Microbiota for Gastric Cancer Prediction: An Exploratory Study. Front. Cell. Infect. Microbiol. 2021, 11, 640309. [Google Scholar] [CrossRef]
  67. Coker, O.O.; Dai, Z.; Nie, Y.; Zhao, G.; Cao, L.; Nakatsu, G.; Wu, W.K.; Wong, S.H.; Chen, Z.; Sung, J.J.Y.; et al. Mucosal microbiome dysbiosis in gastric carcinogenesis. Gut 2018, 67, 1024–1032. [Google Scholar] [CrossRef]
  68. Chen, X.H.; Wang, A.; Chu, A.N.; Gong, Y.H.; Yuan, Y. Mucosa-Associated Microbiota in Gastric Cancer Tissues Compared with Non-cancer Tissues. Front. Microbiol. 2019, 10, 1261. [Google Scholar] [CrossRef] [Green Version]
  69. Sun, J.H.; Li, X.L.; Yin, J.; Li, Y.H.; Hou, B.X.; Zhang, Z. A screening method for gastric cancer by oral microbiome detection. Oncol. Rep. 2018, 39, 2217–2224. [Google Scholar] [CrossRef]
  70. Wu, J.; Xu, S.; Xiang, C.; Cao, Q.; Li, Q.; Huang, J.; Shi, L.; Zhang, J.; Zhan, Z. Tongue Coating Microbiota Community and Risk Effect on Gastric Cancer. J. Cancer 2018, 9, 4039–4048. [Google Scholar] [CrossRef]
  71. Cui, J.; Cui, H.; Yang, M.; Du, S.; Li, J.; Li, Y.; Liu, L.; Zhang, X.; Li, S. Tongue coating microbiome as a potential biomarker for gastritis including precancerous cascade. Protein Cell 2019, 10, 496–509. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  72. Yang, Y.; Long, J.; Wang, C.; Blot, W.J.; Pei, Z.; Shu, X.; Wu, F.; Rothman, N.; Wu, J.; Lan, Q.; et al. Prospective study of oral microbiome and gastric cancer risk among Asian, African American and European American populations. Int. J. Cancer 2022, 150, 916–927. [Google Scholar] [CrossRef] [PubMed]
  73. Castaño-Rodríguez, N.; Goh, K.L.; Fock, K.M.; Mitchell, H.M.; Kaakoush, N.O. Dysbiosis of the microbiome in gastric carcinogenesis. Sci. Rep. 2017, 7, 15957. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  74. Yee, J.K.C. Are the view of Helicobacter pylori colonized in the oral cavity an illusion? Exp. Mol. Med. 2017, 49, e397. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  75. Silva, D.G.; Stevens, R.H.; Macedo, J.M.; Hirata, R.; Pinto, A.C.; Alves, L.M.; Veerman, E.C.; Tinoco, E.M. Higher levels of salivary MUC5B and MUC7 in individuals with gastric diseases who harbor Helicobacter pylori. Arch. Oral Biol. 2009, 54, 86–90. [Google Scholar] [CrossRef] [PubMed]
  76. Doherty, J.R.; Cleveland, J.L. Targeting lactate metabolism for cancer therapeutics. J. Clin. Investig. 2013, 123, 3685–3692. [Google Scholar] [CrossRef]
  77. Lee, H.; Woo, S.M.; Jang, H.; Kang, M.; Kim, S.Y. Cancer depends on fatty acids for ATP production: A possible link between cancer and obesity. Semin. Cancer Biol. 2022, 86, 347–357. [Google Scholar] [CrossRef]
  78. Singh, N.; Gurav, A.; Sivaprakasam, S.; Brady, E.; Padia, R.; Shi, H.; Thangaraju, M.; Prasad, P.D.; Manicassamy, S.; Munn, D.H.; et al. Activation of Gpr109a, receptor for niacin and the commensal metabolite butyrate, suppresses colonic inflammation and carcinogenesis. Immunity 2014, 40, 128–139. [Google Scholar] [CrossRef] [Green Version]
  79. Mirzaei, R.; Dehkhodaie, E.; Bouzari, B.; Rahimi, M.; Gholestani, A.; Hosseini-Fard, S.R.; Keyvani, H.; Teimoori, A.; Karampoor, S. Dual role of microbiota-derived short-chain fatty acids on host and pathogen. Biomed. Pharm. 2022, 145, 112352. [Google Scholar] [CrossRef]
  80. Yao, Y.; Cai, X.; Fei, W.; Ye, Y.; Zhao, M.; Zheng, C. The role of short-chain fatty acids in immunity, inflammation and metabolism. Crit. Rev. Food Sci. Nutr. 2022, 62, 1–12. [Google Scholar] [CrossRef]
  81. Kim, M.H.; Kang, S.G.; Park, J.H.; Yanagisawa, M.; Kim, C.H. Short-chain fatty acids activate GPR41 and GPR43 on intestinal epithelial cells to promote inflammatory responses in mice. Gastroenterology 2013, 145, 396–406.e391-310. [Google Scholar] [CrossRef]
  82. Matsushita, M.; Fujita, K.; Hayashi, T.; Kayama, H.; Motooka, D.; Hase, H.; Jingushi, K.; Yamamichi, G.; Yumiba, S.; Tomiyama, E.; et al. Gut Microbiota-Derived Short-Chain Fatty Acids Promote Prostate Cancer Growth via IGF1 Signaling. Cancer Res. 2021, 81, 4014–4026. [Google Scholar] [CrossRef]
  83. Moritani, K.; Takeshita, T.; Shibata, Y.; Ninomiya, T.; Kiyohara, Y.; Yamashita, Y. Acetaldehyde production by major oral microbes. Oral Dis. 2015, 21, 748–754. [Google Scholar] [CrossRef]
  84. Engstrand, L.; Graham, D.Y. Microbiome and Gastric Cancer. Dig. Dis. Sci. 2020, 65, 865–873. [Google Scholar] [CrossRef] [Green Version]
  85. Wang, Z.; Gao, X.; Zeng, R.; Wu, Q.; Sun, H.; Wu, W.; Zhang, X.; Sun, G.; Yan, B.; Wu, L.; et al. Changes of the Gastric Mucosal Microbiome Associated With Histological Stages of Gastric Carcinogenesis. Front. Microbiol. 2020, 11, 997. [Google Scholar] [CrossRef]
  86. Han, Y.W.; Wang, X. Mobile microbiome: Oral bacteria in extra-oral infections and inflammation. J. Dent. Res. 2013, 92, 485–491. [Google Scholar] [CrossRef] [Green Version]
  87. The global, regional, and national burden of colorectal cancer and its attributable risk factors in 195 countries and territories, 1990-2017: A systematic analysis for the Global Burden of Disease Study 2017. Lancet Gastroenterol. Hepatol. 2019, 4, 913–933. [CrossRef] [Green Version]
  88. Bray, F.; Ferlay, J.; Soerjomataram, I.; Siegel, R.L.; Torre, L.A.; Jemal, A. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J. Clin. 2018, 68, 394–424. [Google Scholar] [CrossRef] [Green Version]
  89. Zhang, X.; Liu, T.; Huang, J.; He, J. PICALM exerts a role in promoting CRC progression through ERK/MAPK signaling pathway. Cancer Cell Int. 2022, 22, 178. [Google Scholar] [CrossRef]
  90. Kaźmierczak-Siedlecka, K.; Dvořák, A.; Folwarski, M.; Daca, A.; Przewłócka, K.; Makarewicz, W. Fungal Gut Microbiota Dysbiosis and Its Role in Colorectal, Oral, and Pancreatic Carcinogenesis. Cancers 2020, 12, 1326. [Google Scholar] [CrossRef]
  91. Di Spirito, F.; Toti, P.; Pilone, V.; Carinci, F.; Lauritano, D.; Sbordone, L. The Association between Periodontitis and Human Colorectal Cancer: Genetic and Pathogenic Linkage. Life 2020, 10, 211. [Google Scholar] [CrossRef] [PubMed]
  92. Momen-Heravi, F.; Babic, A.; Tworoger, S.S.; Zhang, L.; Wu, K.; Smith-Warner, S.A.; Ogino, S.; Chan, A.T.; Meyerhardt, J.; Giovannucci, E.; et al. Periodontal disease, tooth loss and colorectal cancer risk: Results from the Nurses’ Health Study. Int. J. Cancer 2017, 140, 646–652. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  93. Wang, Y.; Zhang, Y.; Qian, Y.; Xie, Y.H.; Jiang, S.S.; Kang, Z.R.; Chen, Y.X.; Chen, Z.F.; Fang, J.Y. Alterations in the oral and gut microbiome of colorectal cancer patients and association with host clinical factors. Int. J. Cancer 2021, 149, 925–935. [Google Scholar] [CrossRef] [PubMed]
  94. Ray, K. Gut microbiota: Oral microbiome could provide clues to CRC. Nat. Rev. Gastroenterol. Hepatol. 2017, 14, 690. [Google Scholar] [CrossRef] [PubMed]
  95. Loftus, M.; Hassouneh, S.A.; Yooseph, S. Bacterial community structure alterations within the colorectal cancer gut microbiome. BMC Microbiol. 2021, 21, 98. [Google Scholar] [CrossRef] [PubMed]
  96. Komiya, Y.; Shimomura, Y.; Higurashi, T.; Sugi, Y.; Arimoto, J.; Umezawa, S.; Uchiyama, S.; Matsumoto, M.; Nakajima, A. Patients with colorectal cancer have identical strains of Fusobacterium nucleatum in their colorectal cancer and oral cavity. Gut 2019, 68, 1335–1337. [Google Scholar] [CrossRef] [Green Version]
  97. Yang, Y.; Cai, Q.; Shu, X.O.; Steinwandel, M.D.; Blot, W.J.; Zheng, W.; Long, J. Prospective study of oral microbiome and colorectal cancer risk in low-income and African American populations. Int. J. Cancer 2019, 144, 2381–2389. [Google Scholar] [CrossRef]
  98. Flemer, B.; Warren, R.D.; Barrett, M.P.; Cisek, K.; Das, A.; Jeffery, I.B.; Hurley, E.; O’Riordain, M.; Shanahan, F.; O’Toole, P.W. The oral microbiota in colorectal cancer is distinctive and predictive. Gut 2018, 67, 1454–1463. [Google Scholar] [CrossRef] [Green Version]
  99. Flemer, B.; Lynch, D.B.; Brown, J.M.; Jeffery, I.B.; Ryan, F.J.; Claesson, M.J.; O’Riordain, M.; Shanahan, F.; O’Toole, P.W. Tumour-associated and non-tumour-associated microbiota in colorectal cancer. Gut 2017, 66, 633–643. [Google Scholar] [CrossRef]
  100. Hale, V.L.; Chen, J.; Johnson, S.; Harrington, S.C.; Yab, T.C.; Smyrk, T.C.; Nelson, H.; Boardman, L.A.; Druliner, B.R.; Levin, T.R.; et al. Shifts in the Fecal Microbiota Associated with Adenomatous Polyps. Cancer Epidemiol. Biomark. Prev. 2017, 26, 85–94. [Google Scholar] [CrossRef]
  101. Yu, M.R.; Kim, H.J.; Park, H.R. Fusobacterium nucleatum Accelerates the Progression of Colitis-Associated Colorectal Cancer by Promoting EMT. Cancers 2020, 12, 2728. [Google Scholar] [CrossRef]
  102. Gur, C.; Ibrahim, Y.; Isaacson, B.; Yamin, R.; Abed, J.; Gamliel, M.; Enk, J.; Bar-On, Y.; Stanietsky-Kaynan, N.; Coppenhagen-Glazer, S.; et al. Binding of the Fap2 protein of Fusobacterium nucleatum to human inhibitory receptor TIGIT protects tumors from immune cell attack. Immunity 2015, 42, 344–355. [Google Scholar] [CrossRef] [Green Version]
  103. Rubinstein, M.R.; Wang, X.; Liu, W.; Hao, Y.; Cai, G.; Han, Y.W. Fusobacterium nucleatum promotes colorectal carcinogenesis by modulating E-cadherin/β-catenin signaling via its FadA adhesin. Cell Host Microbe 2013, 14, 195–206. [Google Scholar] [CrossRef] [Green Version]
  104. Gur, C.; Maalouf, N.; Shhadeh, A.; Berhani, O.; Singer, B.B.; Bachrach, G.; Mandelboim, O. Fusobacterium nucleatum supresses anti-tumor immunity by activating CEACAM1. Oncoimmunology 2019, 8, e1581531. [Google Scholar] [CrossRef] [Green Version]
  105. Kudo, Y.; Tada, H.; Fujiwara, N.; Tada, Y.; Tsunematsu, T.; Miyake, Y.; Ishimaru, N. Oral environment and cancer. Genes Environ. 2016, 38, 13. [Google Scholar] [CrossRef] [Green Version]
  106. Hong, J.; Guo, F.; Lu, S.Y.; Shen, C.; Ma, D.; Zhang, X.; Xie, Y.; Yan, T.; Yu, T.; Sun, T.; et al. F. nucleatum targets lncRNA ENO1-IT1 to promote glycolysis and oncogenesis in colorectal cancer. Gut 2021, 70, 2123–2137. [Google Scholar] [CrossRef]
  107. Cueva, C.; Silva, M.; Pinillos, I.; Bartolomé, B.; Moreno-Arribas, M.V. Interplay between Dietary Polyphenols and Oral and Gut Microbiota in the Development of Colorectal Cancer. Nutrients 2020, 12, 625. [Google Scholar] [CrossRef] [Green Version]
  108. Li, B.; Ge, Y.; Cheng, L.; Zeng, B.; Yu, J.; Peng, X.; Zhao, J.; Li, W.; Ren, B.; Li, M.; et al. Oral bacteria colonize and compete with gut microbiota in gnotobiotic mice. Int. J. Oral Sci. 2019, 11, 10. [Google Scholar] [CrossRef] [Green Version]
  109. Narengaowa; Kong, W.; Lan, F.; Awan, U.F.; Qing, H.; Ni, J. The Oral-Gut-Brain AXIS: The Influence of Microbes in Alzheimer’s Disease. Front. Cell. Neurosci. 2021, 15, 633735. [Google Scholar] [CrossRef]
  110. Bullman, S.; Pedamallu, C.S.; Sicinska, E.; Clancy, T.E.; Zhang, X.; Cai, D.; Neuberg, D.; Huang, K.; Guevara, F.; Nelson, T.; et al. Analysis of Fusobacterium persistence and antibiotic response in colorectal cancer. Science 2017, 358, 1443–1448. [Google Scholar] [CrossRef]
  111. Mo, S.; Ru, H.; Huang, M.; Cheng, L.; Mo, X.; Yan, L. Oral-Intestinal Microbiota in Colorectal Cancer: Inflammation and Immunosuppression. J. Inflamm. Res. 2022, 15, 747–759. [Google Scholar] [CrossRef] [PubMed]
  112. Kuraji, R.; Sekino, S.; Kapila, Y.; Numabe, Y. Periodontal disease-related nonalcoholic fatty liver disease and nonalcoholic steatohepatitis: An emerging concept of oral-liver axis. Periodontol 2000 2021, 87, 204–240. [Google Scholar] [CrossRef] [PubMed]
  113. Milella, L. The Negative Effects of Volatile Sulphur Compounds. J. Vet. Dent. 2015, 32, 99–102. [Google Scholar] [CrossRef] [PubMed]
  114. Li, J.; Zhang, A.H.; Wu, F.F.; Wang, X.J. Alterations in the Gut Microbiota and Their Metabolites in Colorectal Cancer: Recent Progress and Future Prospects. Front. Oncol. 2022, 12, 841552. [Google Scholar] [CrossRef] [PubMed]
  115. Villéger, R.; Lopès, A.; Veziant, J.; Gagnière, J.; Barnich, N.; Billard, E.; Boucher, D.; Bonnet, M. Microbial markers in colorectal cancer detection and/or prognosis. World J. Gastroenterol. 2018, 24, 2327–2347. [Google Scholar] [CrossRef] [PubMed]
  116. Wong, M.C.S.; Jiang, J.Y.; Liang, M.; Fang, Y.; Yeung, M.S.; Sung, J.J.Y. Global temporal patterns of pancreatic cancer and association with socioeconomic development. Sci. Rep. 2017, 7, 3165. [Google Scholar] [CrossRef]
  117. Zhou, Q.; Tao, X.; Xia, S.; Guo, F.; Pan, C.; Xiang, H.; Shang, D. T Lymphocytes: A Promising Immunotherapeutic Target for Pancreatitis and Pancreatic Cancer? Front. Oncol. 2020, 10, 382. [Google Scholar] [CrossRef] [Green Version]
  118. Gaiser, R.A.; Halimi, A.; Alkharaan, H.; Lu, L.; Davanian, H.; Healy, K.; Hugerth, L.W.; Ateeb, Z.; Valente, R.; Fernández Moro, C.; et al. Enrichment of oral microbiota in early cystic precursors to invasive pancreatic cancer. Gut 2019, 68, 2186–2194. [Google Scholar] [CrossRef] [Green Version]
  119. Tiffon, C. Defining Parallels between the Salivary Glands and Pancreas to Better Understand Pancreatic Carcinogenesis. Biomedicines 2020, 8, 178. [Google Scholar] [CrossRef]
  120. Wei, A.L.; Li, M.; Li, G.Q.; Wang, X.; Hu, W.M.; Li, Z.L.; Yuan, J.; Liu, H.Y.; Zhou, L.L.; Li, K.; et al. Oral microbiome and pancreatic cancer. World J. Gastroenterol. 2020, 26, 7679–7692. [Google Scholar] [CrossRef]
  121. Lu, H.; Ren, Z.; Li, A.; Li, J.; Xu, S.; Zhang, H.; Jiang, J.; Yang, J.; Luo, Q.; Zhou, K.; et al. Tongue coating microbiome data distinguish patients with pancreatic head cancer from healthy controls. J. Oral Microbiol. 2019, 11, 1563409. [Google Scholar] [CrossRef]
  122. Olson, S.H.; Satagopan, J.; Xu, Y.; Ling, L.; Leong, S.; Orlow, I.; Saldia, A.; Li, P.; Nunes, P.; Madonia, V.; et al. The oral microbiota in patients with pancreatic cancer, patients with IPMNs, and controls: A pilot study. Cancer Causes Control 2017, 28, 959–969. [Google Scholar] [CrossRef]
  123. Michaud, D.S.; Izard, J.; Wilhelm-Benartzi, C.S.; You, D.H.; Grote, V.A.; Tjønneland, A.; Dahm, C.C.; Overvad, K.; Jenab, M.; Fedirko, V.; et al. Plasma antibodies to oral bacteria and risk of pancreatic cancer in a large European prospective cohort study. Gut 2013, 62, 1764–1770. [Google Scholar] [CrossRef]
  124. Farrell, J.J.; Zhang, L.; Zhou, H.; Chia, D.; Elashoff, D.; Akin, D.; Paster, B.J.; Joshipura, K.; Wong, D.T. Variations of oral microbiota are associated with pancreatic diseases including pancreatic cancer. Gut 2012, 61, 582–588. [Google Scholar] [CrossRef]
  125. Alkharaan, H.; Lu, L.; Gabarrini, G.; Halimi, A.; Ateeb, Z.; Sobkowiak, M.J.; Davanian, H.; Fernández Moro, C.; Jansson, L.; Del Chiaro, M.; et al. Circulating and Salivary Antibodies to Fusobacterium nucleatum Are Associated with Cystic Pancreatic Neoplasm Malignancy. Front. Immunol. 2020, 11, 2003. [Google Scholar] [CrossRef]
  126. Dickson, I. Microbiome promotes pancreatic cancer. Nat. Rev. Gastroenterol. Hepatol. 2018, 15, 328. [Google Scholar] [CrossRef]
  127. Li, S.; Fuhler, G.M.; Bn, N.; Jose, T.; Bruno, M.J.; Peppelenbosch, M.P.; Konstantinov, S.R. Pancreatic cyst fluid harbors a unique microbiome. Microbiome 2017, 5, 147. [Google Scholar] [CrossRef]
  128. Gnanasekaran, J.; Binder Gallimidi, A.; Saba, E.; Pandi, K.; Eli Berchoer, L.; Hermano, E.; Angabo, S.; Makkawi, H.A.; Khashan, A.; Daoud, A.; et al. Intracellular Porphyromonas gingivalis Promotes the Tumorigenic Behavior of Pancreatic Carcinoma Cells. Cancers 2020, 12, 2331. [Google Scholar] [CrossRef]
  129. Kiss, B.; Mikó, E.; Sebő, É.; Toth, J.; Ujlaki, G.; Szabó, J.; Uray, K.; Bai, P.; Árkosy, P. Oncobiosis and Microbial Metabolite Signaling in Pancreatic Adenocarcinoma. Cancers 2020, 12, 1068. [Google Scholar] [CrossRef]
  130. Chen, J.; Domingue, J.C.; Sears, C.L. Microbiota dysbiosis in select human cancers: Evidence of association and causality. Semin. Immunol. 2017, 32, 25–34. [Google Scholar] [CrossRef]
  131. Wang, J.; Zhou, T.; Liu, Y.; Chen, S.; Yu, Z. Application of Nanoparticles in the Treatment of Lung Cancer with Emphasis on Receptors. Front. Pharmacol. 2021, 12, 781425. [Google Scholar] [CrossRef] [PubMed]
  132. Yu, G.; Phillips, S.; Gail, M.H.; Goedert, J.J.; Humphrys, M.S.; Ravel, J.; Ren, Y.; Caporaso, N.E. The effect of cigarette smoking on the oral and nasal microbiota. Microbiome 2017, 5, 3. [Google Scholar] [CrossRef] [Green Version]
  133. Lim, M.Y.; Hong, S.; Hwang, K.H.; Lim, E.J.; Han, J.Y.; Nam, Y.D. Diagnostic and prognostic potential of the oral and gut microbiome for lung adenocarcinoma. Clin. Transl. Med. 2021, 11, e508. [Google Scholar] [CrossRef] [PubMed]
  134. Hosgood, H.D.; Cai, Q.; Hua, X.; Long, J.; Shi, J.; Wan, Y.; Yang, Y.; Abnet, C.; Bassig, B.A.; Hu, W.; et al. Variation in oral microbiome is associated with future risk of lung cancer among never-smokers. Thorax 2021, 76, 256–263. [Google Scholar] [CrossRef] [PubMed]
  135. Vogtmann, E.; Hua, X.; Yu, G.; Purandare, V.; Hullings, A.G.; Shao, D.; Wan, Y.; Li, S.; Dagnall, C.L.; Jones, K.; et al. The oral microbiome and lung cancer risk: An analysis of 3 prospective cohort studies. J. Natl. Cancer Inst. 2022, 104, 299–310. [Google Scholar] [CrossRef] [PubMed]
  136. Tsay, J.J.; Wu, B.G.; Sulaiman, I.; Gershner, K.; Schluger, R.; Li, Y.; Yie, T.A.; Meyn, P.; Olsen, E.; Perez, L.; et al. Lower Airway Dysbiosis Affects Lung Cancer Progression. Cancer Discov. 2021, 11, 293–307. [Google Scholar] [CrossRef]
  137. Liu, Y.; Yuan, X.; Chen, K.; Zhou, F.; Yang, H.; Yang, H.; Qi, Y.; Kong, J.; Sun, W.; Gao, S. Clinical significance and prognostic value of Porphyromonas gingivalis infection in lung cancer. Transl. Oncol. 2021, 14, 100972. [Google Scholar] [CrossRef]
  138. Yan, C.; Luo, Z.; Lin, Z.; He, H.; Luo, Y.; Chen, J. Shear Wave Elastography-Assisted Ultrasound Breast Image Analysis and Identification of Abnormal Data. J. Healthc. Eng. 2022, 2022, 5499354. [Google Scholar] [CrossRef]
  139. Shao, J.; Wu, L.; Leng, W.D.; Fang, C.; Zhu, Y.J.; Jin, Y.H.; Zeng, X.T. Periodontal Disease and Breast Cancer: A Meta-Analysis of 1,73,162 Participants. Front. Oncol. 2018, 8, 601. [Google Scholar] [CrossRef] [Green Version]
  140. Wu, Z.; Byrd, D.A.; Wan, Y.; Ansong, D.; Clegg-Lamptey, J.N.; Wiafe-Addai, B.; Edusei, L.; Adjei, E.; Titiloye, N.; Dedey, F.; et al. The oral microbiome and breast cancer and nonmalignant breast disease, and its relationship with the fecal microbiome in the Ghana Breast Health Study. Int. J. Cancer 2022, 151, 1248–1260. [Google Scholar] [CrossRef]
  141. Parhi, L.; Alon-Maimon, T.; Sol, A.; Nejman, D.; Shhadeh, A.; Fainsod-Levi, T.; Yajuk, O.; Isaacson, B.; Abed, J.; Maalouf, N.; et al. Breast cancer colonization by Fusobacterium nucleatum accelerates tumor growth and metastatic progression. Nat. Commun. 2020, 11, 3259. [Google Scholar] [CrossRef]
  142. Snider, E.J.; Freedberg, D.E.; Abrams, J.A. Potential Role of the Microbiome in Barrett’s Esophagus and Esophageal Adenocarcinoma. Dig. Dis. Sci. 2016, 61, 2217–2225. [Google Scholar] [CrossRef] [Green Version]
  143. Park, O.J.; Kim, A.R.; So, Y.J.; Im, J.; Ji, H.J.; Ahn, K.B.; Seo, H.S.; Yun, C.H.; Han, S.H. Induction of Apoptotic Cell Death by Oral Streptococci in Human Periodontal Ligament Cells. Front. Microbiol. 2021, 12, 738047. [Google Scholar] [CrossRef] [PubMed]
  144. Inaba, H.; Sugita, H.; Kuboniwa, M.; Iwai, S.; Hamada, M.; Noda, T.; Morisaki, I.; Lamont, R.J.; Amano, A. Porphyromonas gingivalis promotes invasion of oral squamous cell carcinoma through induction of proMMP9 and its activation. Cell. Microbiol. 2014, 16, 131–145. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  145. Muto, M.; Hitomi, Y.; Ohtsu, A.; Shimada, H.; Kashiwase, Y.; Sasaki, H.; Yoshida, S.; Esumi, H. Acetaldehyde production by non-pathogenic Neisseria in human oral microflora: Implications for carcinogenesis in upper aerodigestive tract. Int. J. Cancer 2000, 88, 342–350. [Google Scholar] [CrossRef]
  146. Park, D.Y.; Park, J.Y.; Lee, D.; Hwang, I.; Kim, H.S. Leaky Gum: The Revisited Origin of Systemic Diseases. Cells 2022, 11, 1079. [Google Scholar] [CrossRef]
  147. Schiffman, J.D.; Fisher, P.G.; Gibbs, P. Early detection of cancer: Past, present, and future. Am. Soc. Clin. Oncol. Educ. Book 2015, 35, 57–65. [Google Scholar] [CrossRef] [Green Version]
  148. Nonaka, T.; Wong, D.T.W. Saliva-Exosomics in Cancer: Molecular Characterization of Cancer-Derived Exosomes in Saliva. Enzymes 2017, 42, 125–151. [Google Scholar] [CrossRef]
  149. Cheng, J.; Nonaka, T.; Wong, D.T.W. Salivary Exosomes as Nanocarriers for Cancer Biomarker Delivery. Materials 2019, 12, 654. [Google Scholar] [CrossRef] [Green Version]
  150. Bracci, P.M. Oral Health and the Oral Microbiome in Pancreatic Cancer: An Overview of Epidemiological Studies. Cancer J. 2017, 23, 310–314. [Google Scholar] [CrossRef]
  151. Pandya, G.; Kirtonia, A.; Singh, A.; Goel, A.; Mohan, C.D.; Rangappa, K.S.; Pandey, A.K.; Kapoor, S.; Tandon, S.; Sethi, G.; et al. A comprehensive review of the multifaceted role of the microbiota in human pancreatic carcinoma. Semin. Cancer Biol. 2021, 86, 682–692. [Google Scholar] [CrossRef] [PubMed]
Microorganisms 10 02206 g001 550
Figure 1. Oral Microbiota; Microbiota—metabolites and inflammatory markers in tumors of various sites. Locations are denoted by the following color code. IL: interleukin; SCFA: short-chain fatty acids; ROS: reactive oxygen species; TNF: tumor necrosis factor; CXCL: C-X-C motif chemokine; ↓: decreased level; ↑: increased level. Oral microbiota may be transmitted distally through the bloodstream and digestive tract. Figure 1 shows the changes in oral microbiota, microbial metabolic pathways, microbial metabolites, and inflammation and immune factors when the human body suffers from different kinds of tumors (oral cancer, gastric cancer, colorectal cancer, pancreatic cancer, and lung cancer).
Figure 1. Oral Microbiota; Microbiota—metabolites and inflammatory markers in tumors of various sites. Locations are denoted by the following color code. IL: interleukin; SCFA: short-chain fatty acids; ROS: reactive oxygen species; TNF: tumor necrosis factor; CXCL: C-X-C motif chemokine; ↓: decreased level; ↑: increased level. Oral microbiota may be transmitted distally through the bloodstream and digestive tract. Figure 1 shows the changes in oral microbiota, microbial metabolic pathways, microbial metabolites, and inflammation and immune factors when the human body suffers from different kinds of tumors (oral cancer, gastric cancer, colorectal cancer, pancreatic cancer, and lung cancer).
Microorganisms 10 02206 g001
Table
Table 1. Oral organisms associated with oral cancer.
Table 1. Oral organisms associated with oral cancer.
SubjectOrganisms (Oral Bacteria)Sample TypeReference
47 OSCC patients and 48 healthy individuals as
controls.		The proportions of Actinobacteria, Fusobacterium, Moraxella, Bacillus, and Veillonella species were higher in the disease group than they were in the control group.saliva, subgingival plaque, the tumor surface, tumor tissue samples[55]
60 OSCC patients and 120 gender and age-matched controls.The proportions of Prevotella oris, Neisseria flava, Neisseria
flavescens/subflava, F. nucleatum, Aggregatibacter segnis, Streptococcus mitis, and Fusobacterium periodontium were higher in the disease group than they were in the control group.		fresh OSCC
biopsies samples 		[56]
48 OSCC patients and 46 controls.The proportions of Prevotella, Campylobacter, Capnocytophaga,
Solobacteria, Peptostreptococcus, and Catonella were higher in the disease group than they were in the control group. 		whole mouth fluid (WMF) and swab samples[53]
Oral cancer patients (n = 50) and healthy subjects (n = 50).The proportions of Staphylococcus and Rothia were higher in the disease group than they were in the control group.swab samples[54]
25 patients with OSCC and 24 healthy controls were recruited from Dr. B.
Borooah Cancer Institute (BBCI), Guwahati, Assam, India.		The proportions of P. melaninogenica, Streptococcus anginosus,
Veillonella parvula, Prevotella pallens, Porphyromonas endodontalis, Prevotella nanceiensis, Dialister sp., Campylobacter ureolyticus,
Fusobacterium sp., P. nigrescens, Neisseria bacilliformis, and
Peptostreptococcus anaerobius were higher in the disease group than they were in the control group.		samples of the whole saliva[57]
Patients presenting with OLK (n = 36, average age: 60.6). The proportions of Fusobacterium, Leptotrichia, Campylobacter, and Rothia were higher in the disease group than they were in the control group.swabs[51]
43 oral lichen planus
patients and 21 mucosal healthy volunteers.		The proportions of Fusobacterium, Leptotrichia, and Lautropia were
higher in the disease group than they were in the control group.		buccal scraping samples[52]
Table
Table 2. Oral organisms associated with gastric cancer (GC).
Table 2. Oral organisms associated with gastric cancer (GC).
SubjectOrganisms (Oral Bacteria)Sample TypeReference
293 patients included superficial gastritis (SG; n = 101), atrophic gastritis (AG; n = 93), and gastric cancer (GC; n = 99).The proportions of presumed proinflammatory taxa, including Corynebacterium and Streptococcus were higher in the disease group than they were in the control group.saliva sample[66]
81 cases including SG, AG,
intestinal metaplasia (IM) and GC from Xi’an, China.		Oral bacteria such as Peptostreptococcus stomatis, Streptococcus anginosus, Parvimonas micra, Slackia exigua and Dialister
pneumosintes were enriched in cancerous tissues.		gastric mucosal samples[67]
62 GC patients who underwent subtotal gastrectomy at The First Hospital of China Medical
University.		Oral bacteria such as Fusobacterium, Streptococcus,
Peptostreptococcus, and Prevotella were enriched in cancerous tissues.		gastric tissue samples[68]
37 individuals with GC and 13 controls.The proportions of Veillonella, Prevotella, Aggregatibacter, and Megasphaera increased were higher in the disease group than they were in the control group, while the proportions of Leptotrichia, Rothia, Capnocytophaga, Campylobacter, Tannerella and Granulicatella were lower.saliva and plaque samples[69]
57 newly diagnosed gastric
adenocarcinomas and 80 healthy controls.		The proportion of Firmicutes was higher in the disease group than it was in the control group, while the proportion of Bacteroidetes was lower.tongue coating sample[70]
78 gastritis patients and 50 healthy individuals.The proportion of Campylobacter concisus was higher in the
disease group than it was in the control group.		tongue-coating samples[71]
165 GC cases and 323 matched controls from Asian, African American, and European
American populations.		The proportions of Neisseria mucosa and Prevotella pleuritidis were higher in the disease group than they were in the control group, while the proportions of Mycoplasma orale and Eubacterium yurii were lower.pre-diagnostic
buccal samples		[72]
12 GC cases and 20 matched
controls (functional dyspepsia) in Singapore and Malaysia.		Oral bacteria such as Lactococcus, Veilonella, and Fusobacteriaceae (Fusobacterium and Leptotrichia) were enriched in cancerous
tissues.		antral gastric
biopsies		[73]
47 patients including SG, AG, gastric intraepithelial neoplasia (GIN), and GC.Oral bacteria such as Slackia, Selenomonas, Bergeyella and
Capnocytophaga were enriched in cancerous tissues.		gastric mucosal specimens[65]
Table
Table 3. Oral organisms associated with colorectal cancer (CRC).
Table 3. Oral organisms associated with colorectal cancer (CRC).
SubjectOrganisms (Oral Bacteria)Sample TypeReference
1165 cases with CRC and 739 cases for the periodontal bone loss. Oral bacteria such as Fusobacteria were enriched in stool samples of CRC patients.tissue sample[92]
Matching samples of unstimulated saliva, cancer tissues or biopsies and stools were collected from 30 CRC and 30 HC patients.The proportion of Salivary Firmicutes-to-Bacteroides ratio was higher in the disease group than it was in the control group.unstimulated saliva, cancer tissues, or biopsies and stool samples[93]
Individuals with either CRC (n = 99), colorectal polyps (n = 32) or healthy individuals as controls (n = 103).Oral bacteria such as Fusobacterium, Peptostreptococcus,
Porphyromonas, and Micromonas were enriched in the stool of patients with CRC or adenomas.		oral swabs, colonic mucosa, and stool samples[94]
252 healthy and advanced CRC
subjects.		Oral bacteria such as F. nucleatum, Peptostreptococcus
stomatis, Gemella morbillorum, and Parvimonas micra were enriched in fecal samples of CRC patients.		fecal sample[95]
Saliva samples from 14 CRC patients were collected.The proportion of F. nucleatum was higher in the disease group than it was in the control group.saliva samples [96]
Individuals including 231 incident CRC cases and 462 controls. The proportion of Bifidobacteriaceae was higher in the
disease group than it was in the control group. 		mouth rinse
samples		[97]
Populations including CRC (99
subjects), colorectal polyps (32), or
controls (103).		The proportions of Haemophilus, Micromonas, Prevotella,
Heterobacterium, Anaerobic, Neisseria, and Streptococcus were lower in the disease group than they were in the control group. 		oral swabs, colonic mucosal and stool samples[98]
Mucosal samples from 59 patients undergoing surgery for CRC, 21
individuals with polyps and 56 healthy controls.		Bacteroidetes Cluster 1 and Firmicutes Cluster 1 were reduced in fecal samples of CRC patients, whereas Bacteroidetes Cluster 2, Firmicutes Cluster 2, Pathogen Cluster and
Prevotella Cluster were enriched in them.		fecal and mucosal samples[99]
Fecal microbiota in patients with
adenomas (n = 233) and those without adenomas (n = 547) were analyzed.		Pro-inflammatory bacteria of the genera Biliophilus,
Desulfovibrio, Mogibacterium and various Bacteroidetes were enriched in fecal samples of CRC patients.		fecal sample[100]
Table
Table 4. Oral organisms associated with pancreatic cancer.
Table 4. Oral organisms associated with pancreatic cancer.
SchemeOrganisms (Oral Bacteria)Sample TypeReference
30 PHC patients and 25 healthy controls.The proportions of Firmicutes, Fusobacteria, and Actinobacteria were higher in the disease group than they were in the control group.tongue coat samples[121]
361 incident adenocarcinoma of pancreas and 371 matched controls.The proportions of P. gingivalis and A. actinomycetemcomitans were higher in the disease group than they were in the control group, while the
proportion of Leptotrichia was lower.		oral wash
samples		[39]
Forty newly diagnosed PDAC
patients, 39 IPMN patients, and 58 controls.		The proportions of Firmicutes and related taxa (Bacilli, Lactobacillales, Streptococcaceae, Streptococcus, and Streptococcus thermophilus) were higher in the disease group than they were in the control group.saliva samples[122]
405 pancreatic cancer cases and 416 matched controls.The proportion of antibodies against P. gingivalis ATTC 53978 was higher in the disease group than it was in the control group.blood samples[123]
10 resectable patients with
pancreatic cancer and 10 matched healthy controls.		The proportions of N. elongata and S. mitis were lower in the disease group than they were in the control group, while the proportion of G. adiacens was higher.saliva samples[124]
patients with pancreatic cancer (n = 41) and healthy individuals (n = 69).The proportions of Lactobacillales, Bacilli, Streptococcus, Firmicutes,
Actinomyces, Rothia, Leptotrichia, Lactobacillus, E. coli, and
Enterobacteriales were higher in the disease group than they were in the control group.		saliva samples[120]
patients with suspected PCN (n = 105).The proportion of F. nucleatum genome was higher in the disease group than it was in the control group.cyst fluid and peripheral blood liquid biopsies[118]
IPMN pancreatic cystic tumor
cases and controls.		The reactivity of salivary IgA to F. nucleatum and the Fap2 mimotope increased.paired plasma and saliva samples[125]
Table
Table 5. Oral organisms associated with respiratory tumors (lung cancer).
Table 5. Oral organisms associated with respiratory tumors (lung cancer).
SubjectOrganisms (Oral Bacteria)Sample TypeReference
Lung adenocarcinoma patients who did not smoke (cancer, n = 91) and healthy controls (control, n = 91).The proportion of Eillonella was higher in the disease group than it was in the control group, while the proportions of Mogibacterium,
Butyrivibrio, Variovorax, Ralstonia, Catonella, Bulleidia, and
Oribacterium were lower.		saliva[133]
Cases were subjects who were
diagnosed with incident lung cancer (n = 114) and with controls (n = 114).		The proportions of Bacilli class and Lactobacillales order were higher in the disease group than they were in the control group, while the
proportions of Spirochaetia and Bacteroidetes were lower.		mouth rinse samples[134]
148 subjects with lung nodules from the NYU Lung Cancer Biomarker Center.Oral bacteria such as Veillonella, Streptococcus, Prevotella, and
Haemophilus were enriched in LC.		lower
airway brushes		[136]
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Li, S.; He, M.; Lei, Y.; Liu, Y.; Li, X.; Xiang, X.; Wu, Q.; Wang, Q. Oral Microbiota and Tumor—A New Perspective of Tumor Pathogenesis. Microorganisms 2022, 10, 2206. https://doi.org/10.3390/microorganisms10112206

AMA Style

Li S, He M, Lei Y, Liu Y, Li X, Xiang X, Wu Q, Wang Q. Oral Microbiota and Tumor—A New Perspective of Tumor Pathogenesis. Microorganisms. 2022; 10(11):2206. https://doi.org/10.3390/microorganisms10112206

Chicago/Turabian Style

Li, Simin, Mingxin He, Yumeng Lei, Yang Liu, Xinquan Li, Xiaochen Xiang, Qingming Wu, and Qiang Wang. 2022. "Oral Microbiota and Tumor—A New Perspective of Tumor Pathogenesis" Microorganisms 10, no. 11: 2206. https://doi.org/10.3390/microorganisms10112206

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop