| Literature DB >> 34588004 |
Shuai Yuan1, Cheng Fang1, Wei-Dong Leng2, Lan Wu3, Bing-Hui Li1,4, Xing-Huan Wang5,6, Hailiang Hu7,8, Xian-Tao Zeng9,10.
Abstract
Periodontitis has been proposed as a novel risk factor of genitourinary cancers: although periodontitis and genitourinary cancers are two totally distinct types of disorders, epidemiological and clinical studies, have established associations between them. Dysbiosis of oral microbiota has already been established as a major factor contributing to periodontitis. Recent emerging epidemiological evidence and the detection of oral microbiota in genitourinary organs indicate the presence of an oral-genitourinary axis and oral microbiota may be involved in the pathogenesis of genitourinary cancers. Therefore, oral microbiota provides the bridge between periodontitis and genitourinary cancers. We have carried out this narrative review which summarizes epidemiological studies exploring the association between periodontitis and genitourinary cancers. We have also highlighted the current evidence demonstrating the capacity of oral microbiota to regulate almost all hallmarks of cancer, and proposed the potential mechanisms of oral microbiota in the development of genitourinary cancers.Entities:
Keywords: Kidney neoplasms; Oral microbiota; Oral-genitourinary axis; Periodontitis; Prostatic neoplasms; Urinary bladder neoplasms; Urogenital neoplasms
Mesh:
Year: 2021 PMID: 34588004 PMCID: PMC8480014 DOI: 10.1186/s40779-021-00344-1
Source DB: PubMed Journal: Mil Med Res ISSN: 2054-9369
Epidemiological studies exploring the associations between periodontitis and genitourinary cancers
| Author (year) | PD criteria | Cases N (M/F) | Controls N (M/F) | Results |
|---|---|---|---|---|
| Michaud et al. (2016) [ | Self-reported periodontitis according to bone loss and teeth number [ | Periodontitis: 1945 (M: 1945) | Without PD: 17,988 (M: 17,988) | (1) No significant association between periodontitis and PCa risk ( (2) No significant association between tooth loss and PCa risk ( |
| Dizdar et al. (2017) [ | CDC/AAP case definition [ | M/S periodontitis: 129 (M: 129) | TNCR 2013 data | M/S periodontitis had higher risk of PCa ( |
| Kim et al. (2020) [ | CDC/AAP case definition [ | CP: 60,772 (M: 60,772) | Without PD: 60,468 (M: 60,468) | CP significantly increased the risk of PCa ( |
| Güven et al. (2019) [ | AAP classification [ | PD: 2151 (M: 2151) | TNCR 2013 data | PD significantly increased the risk of PCa ( |
| Lee et al. (2017) [ | CDC/AAP case definition [ | PD: 531 (M: 531) | Without PD: 403 (M: 403) | PD significantly increased the risk of PCa ( |
| Arora et al. (2010) [ | Self-reported PD according to tooth mobility [ | PD: 457 (M: 457) | Without PD: 5515 (M: 5515) | PD significantly increased the risk of PCa ( |
| Hujoel et al. (2003) [ | Gingival inflammation, periodontal pockets, firmness of tooth | Periodontitis: 1085 (M: 1085) Gingivitis: 1021 (M: 1021) | Without PD: 1242 (M: 1242) | Periodontitis was positively associated with PCa ( |
| Hiraki et al. (2008) [ | Self-reported tooth loss | Pca: 136 (M: 136) | Without cancer: 5398 (M: 5398) | Tooth loss was inversely associated with PCa ( |
| Michaud et al. (2008) [ | Self-reported PD according to bone loss and teeth number [ | PD: 7863 (M: 7863) | Without PD: 40,512 (M: 40,512) | (1) No significant association was observed between PD and advanced PCa risk ( (2) Tooth loss was inversely correlated with advanced PCa ( |
| Hwang et al. (2014) [ | NR | PD with treatment: 19,226 (M: 19,226) | PD with no treatment: 38,452 (M: 38,452) | The risks of PCa were significantly higher in the PD with treatment ( |
| Wen et al. (2014) [ | NR | Periodontitis: 26,288 (M: 26,288) | Gingivitis: 47,522 (M: 47,522) | The incidence rate of PCa was not elevated in the periodontitis cohort than in the gingivitis cohort ( |
| Michaud et al. (2018) [ | CDC/AAP case definition [ | Periodontitis: 2252 (M: 2252) | Without Periodontitis: (M: 535) | No significant association was observed between SP and PCa risk ( |
| Michaud et al. (2016) [ | Self-reported periodontitis according to bone loss and teeth number [ | Periodontitis: 1945 (M: 1945) | Without PD: 17,988 (M: 17,988) | (1) Periodontitis increased the risk of bladder cancer ( (2) Advanced periodontitis significantly increased the risk of bladder cancer ( |
| Arora et al. (2010) [ | Self-reported PD according to Tooth mobility [ | PD: 908 (M: 457/F:451) | Without PD: 12,592 (M: 5515/F: 7077) | PD slightly increased the risk of bladder cancer ( |
| Michaud et al. (2008) [ | Self-reported PD according to bone loss and teeth number [ | PD: 7863 (M: 7863) | Without PD: 40,512 (M: 40,512) | PD slightly increased the risk of bladder cancer ( |
| Wen et al. (2014) [ | NR | Periodontitis: 57,591 (M: 26,288/F: 25,503) | Gingivitis: 96,375 (M: 47,522/F: 45,583) | The incidence rate of bladder cancer was not elevated in the periodontitis cohort than in the gingivitis cohort ( |
| Oh et al. (2020) [ | Self-reported PD according to bone loss and teeth number [ | PD: 89,170 PYs (M: 89,170 PYs) | Without PD: 354,997 PYs (M: 354,997 PYs) | PD increased the risk of invasive bladder cancer ( |
| Nwizu et al. (2017) [ | Self-reported PD [ | PD: 17,103 (F: 17,103) | Without PD: 48,766 (F: 48,766) | PD slightly increased the risk of bladder cancer ( |
| Michaud et al. (2016) [ | Self-reported periodontitis according to bone loss and teeth number [ | Periodontitis: 1945 (M: 1945) | Without PD: 17,988 (M: 17,988) | No association between periodontitis and the risk of kidney cancer ( |
| Michaud et al. (2008) [ | Self-reported PD according to bone loss and teeth number [ | PD: 7863 (M: 7863) | Without PD: 40,512 (M: 40,512) | PD significantly increased risk of kidney cancer ( |
| Wen et al. (2014) [ | NR | Periodontitis: 57,591 (M: 26,288/F: 25,503) | Gingivitis: 96,375 (M: 47,522/F: 45,583) | The incidence rate of kidney cancer was not elevated in the periodontitis cohort than in the gingivitis cohort ( |
| Nwizu et al. (2017) [ | Self-reported PD [ | PD: 17,103 (F: 17,103) | Without PD: 48,766 (F: 48,766) | PD slightly increased the risk of kidney cancer ( |
AAP American Academy of Periodontology, CDC centers for disease control, CP chronic periodontitis, CI confidence interval, F female, HR Hazard ratio, M male, M/S moderate to severe, N number, NR not reported, OR Odds ratio, PCa prostate cancer, PD periodontal disease, PYs person-years, SIR standardized incidence rates, SP severe periodontitis, TNCR Turkish National Cancer Registry
Fig. 1Oral microbiota in periodontal health (left) and disease (right). The predominant bacteria identified by Human Microbiome project or NGS-based studies in periodontal health (left) and periodontal disease (right) are shown in the figure. F. nucleatum acts as a mutualist in healthy periodontal tissue. In periodontitis, F. nucleatum turns into an opportunistic pathogen and functions as a bridge organism to bind P. gingivalis through the fusobacterial adhesins RadD, Fap2 and FomA. NGS next-generation sequencing
Fig. 2Main effects of individual members of the oral microbiota on hallmarks of cancer. Selected examples of oral microbiota and their molecular mechanisms are shown to be modulating each of the cancer hallmarks, including sustaining proliferative signaling (a), evading growth suppressors (b), resisting cell death (c), enabling replicative immortality (d), activating invasion and metastasis (e), reprogramming of energy metabolism (f), promoting genome instability (g), inducing angiogenesis (h), inducing tumor-promoting inflammation (i), and evading immune destruction (j). DSBs double-strand breaks, ERK extracellular regulated protein kinases, F. nucleatum Fusobacterium nucleatum, HS hydrogen sulfide, LPS lipopolysaccharide, miR-21 MicroRNA 21, MMP-9 matrix metalloproteinase-9, MSI microsatellite instability, OMP outer membrane protein, OMVs outer membrane vesicles, OXPHOS oxidative phosphorylation, P. gingivalis Porphyromonas gingivalis, PAD peptidyl arginine deaminase, PI3K phosphatidylinositol 3-kinase, Sp1 specificity protein 1, TCF transcription factor, TERT telomerase reverse transcriptase, TIGIT T cell immunoglobulin and immunoreceptor tyrosine-based inhibitory motif domain, TLR4 toll-like receptor 4, VEGF-A vascular endothelial growth factor-A
Fig. 3Potential molecular mechanisms by which oral microbiota promote genitourinary cancers. a Oral bacteria, bacterial metabolites, and inflammatory factors enter into human blood. b Oral bacteria, bacterial metabolites, and inflammatory are delivered via blood vessels. c Oral bacteria may colonize the urinary system through blood vessel. Subsequently, the structural components of bacteria (e.g., LPS, FadA) and bacterial metabolites (e.g., gingipains) promote the development of bladder, prostate and kidney cancer. Meanwhile, the long-term presence of inflammatory cells and inflammatory molecules in the systemic circulation is associated with the early formation of primary epithelial tumors in bladder, kidney, and prostate cancers, and promote the excessive proliferation, invasiveness, and angiogenesis of cancer cells. A. actinomycetemcomitans Aggregatibacter actinomycetemcomitans, F. nucleatum Fusobacterium nucleatum, P. gingivalis Porphyromonas gingivalis