| Literature DB >> 35317317 |
Sofia C Tortora1, Vimal M Bodiwala1, Andrew Quinn1, Laura A Martello1, Shivakumar Vignesh2.
Abstract
Various studies have shown the interplay between the intestinal microbiome, environmental factors, and genetic changes in colorectal cancer (CRC) development. In this review, we highlight the various gut and oral microbiota associated with CRC and colorectal adenomas, and their proposed molecular mechanisms in relation to the processes of "the hallmarks of cancer", and differences in microbial diversity and abundance between race/ethnicity. Patients with CRC showed increased levels of Bacteroides, Prevotella, Escherichia coli, enterotoxigenic Bacteroides fragilis, Streptococcus gallolyticus, Enterococcus faecalis, Fusobacterium nucleatum (F. nucleatum) and Clostridium difficile. Higher levels of Bacteroides have been found in African American (AA) compared to Caucasian American (CA) patients. Pro-inflammatory bacteria such as F. nucleatum and Enterobacter species were significantly higher in AAs. Also, AA patients have been shown to have decreased microbial diversity compared to CA patients. Some studies have shown that using microbiome profiles in conjunction with certain risk factors such as age, race and body mass index may help predict healthy colon vs one with adenomas or carcinomas. Periodontitis is one of the most common bacterial infections in humans and is more prevalent in Non-Hispanic-Blacks as compared to Non-Hispanic Whites. This condition causes increased systemic inflammation, immune dysregulation, gut microbiota dysbiosis and thereby possibly influencing colorectal carcinogenesis. Periodontal-associated bacteria such as Fusobacterium, Prevotella, Bacteroides and Porphyromonas have been found in CRC tissues and in feces of CRC patients. Therefore, a deeper understanding of the association between oral and gastrointestinal bacterial profile, in addition to identifying prevalent bacteria in patients with CRC and the differences observed in ethnicity/race, may play a pivotal role in predicting incidence, prognosis, and lead to the development of new treatments. ©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.Entities:
Keywords: Colorectal cancer; Gut microbiome; Hallmarks of cancer; Oral microbiome; Racial/ethnic microbial diversity
Year: 2022 PMID: 35317317 PMCID: PMC8918999 DOI: 10.4251/wjgo.v14.i2.375
Source DB: PubMed Journal: World J Gastrointest Oncol
Gut and gastric microbiota associated with cancer development
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| FadA | Tumor-promoting inflammation | Expression of NF-κB and pro-inflammatory cytokines IL-6, 8, and 18 | HCT116 cells (expressing E-cadherin) | [ |
| Unknown | Tumor-promoting inflammation | Infiltration of specific myeloid cell subsets and an NF-κB proinflammatory signature (shared with human CRC tissue with a high Fusobacterium abundance) | Apc(Min/+) mice fed | [ | |
| Unknown | Tumor-promoting inflammation | TNF-α and IL-10 abundance | Rectal biopsies of adenoma cases compared to controls | [ | |
| Unknown | Tumor-promoting inflammation | Cytokine production, which is mediated by the p38 MAPK signaling but independent of TLRs, NOD-1, NOD-2 and NF-ĸB signaling | HEK293T cells, (which lack endogenous TLRs) | [ | |
| Fap2 | Avoiding immune destruction | Fap2 interacted with TIGIT, leading to the inhibition of NK cell cytotoxicity | Various BW cells | [ | |
| Unknown | Avoiding immune destruction | MicroRNA-21 increases the levels of IL-10 and prostaglandin E2, which suppress antitumor T-cell-mediated adaptive immunity | Colorectal carcinoma tissues (stages I-IV) from Japanese patients | [ | |
| Generation of formyl-methionyl-leucyl-phenylalanine and SCFAs from dietary amino acids | Deregulating cellular energetics | Chemoattract myeloid cells | ApcMin/+ mouse model of intestinal tumorigenesis | [ | |
| Adhesin FadA | Sustaining proliferative signaling | FadA binds to E-cadherin and activates β-catenin signaling | HCT116 cells (expressing E-cadherin) | [ | |
| Unknown | Genome instability and mutations | CpG island methylating phenotype (CIMP), microsatellite instability (MSI), and MLH1 hypermethylation | Colorectal carcinoma tissue | [ | |
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| Unknown | Tumor-promoting inflammation | Increase in the production of IL-8 in the colonic mucosa. Study suggests that bacteria act as a promoter of early preneoplastic lesions in the colon of rats | Male rats pre-treated with the carcinogen azoxymethane (AOM) | [ |
| Unknown | Tumor-promoting inflammation | Induce mRNA expression of proinflammatory cytokines, IL-1 | Colorectal mucosa and tumors of CRC patients with and without a history of | [ | |
| Wall extracted antigens (WEA) and whole bacteria | Sustaining proliferative signaling | MAPKs activation which up-regulate the expression of COX-2 | Human colonic epithelial Caco-2-cells | [ | |
| Unknown | Inducing angiogenesis | Induce mRNA expression of angiogenic chemokine, IL-8 | Feces and colorectal tissue of CRC patients with and without a history of | [ | |
| WEA and whole bacteria | Inducing angiogenesis | Over-expression of COX-2 | Human colonic epithelial Caco-2-cells | [ | |
| Unknown | Resisting cell death | mRNA expression of proinflammatory cytokines, IL-1 and COX-2, as well as angiogenic chemokine, IL-8 | Feces and colorectal tissue of CRC patients with and without a history of | [ | |
| Unknown | Resisting cell death | Higher IL-8 mRNA and NF-κB mRNA in tumorous than non-tumorous tissue sections of adenoma and carcinoma. | Serum and tissue of CRC, CRA and healthy volunteers | [ | |
| WEA and whole bacteria | Resisting cell death | Over-expression of COX-2 | Human colonic epithelial Caco-2-cells | [ | |
| Enterotoxigenic |
| Tumor-promoting inflammation | Activation of STAT3 initiates a Th17 mucosal immune response | ApcMin/+ mouse model of intestinal tumorigenesis | [ |
| BFT | Sustaining proliferative signaling | E-cadherin cleavage then β-catenin nuclear signaling is expressed and induces c-Myc translation | HT29/C1 cells | [ | |
| BFT | Sustaining proliferative signaling | Induces E-cadherin cleavage, interleukin-8 secretion, and epithelial cell proliferation | Specific pathogen-free (SPF) C57BL/6J or germfree mice | [ | |
| BFT | Genome instability and mutations | NF-κB and mitogen-activated protein kinases (MAPKs) | HT29/C1 cells | [ | |
| BFT | Genome instability and mutations | SMO-dependent generation of ROS and induction of γ-H2A.x, a marker of DNA damage | HT29/c1 and T84 colonic epithelial cells | [ | |
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| Cyclo-modulins (CM) | Sustaining proliferative signaling | Increases in proliferating cell nuclear antigen (PCNA) mRNA levels | CEACAM-expressing mice | [ |
| Colibactin-producing (pks+) | Sustaining proliferative signaling | Accumulation of SUMO-conjugated p53 and production of hepatocyte growth factor (HGF) by targeting targets SENP1 (senescence-associated secretory phenotype) | AOM/IL-10-/- (azoxymethane/interleukin) mouse model | [ | |
| CM | Genome instability and mutations | genotoxin-encoding genes in mucosa | Analysis of mucosa of patients with CRC | [ | |
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| Unknown | Genome instability and mutations | Macrophage COX-2 is induced by superoxide and propagate genomic instability | Hybrid hamster cells [A(L)N] containing human chromosome 11 and a dual-chamber tissue culture model | [ |
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| Genome instability and mutations | Double-stranded DNA breaks, tetraploidy and chromosomal instability (CIN) | Primary murine colon epithelial cells growth as allografts in immunodeficient mice | [ | |
| Unknown | Genome instability and mutations | Epithelial cell DNA damage through the production of extracellular O2- | HT-29 intestinal epithelial cells and a rat intestinal colonization model | [ | |
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| cagA | Tumor-promoting inflammation | Upregulation of COX-2 and prostaglandin E2 | Analysis of serum IgG antibodies against | [ |
COX-2: Cyclooxygenase-2; H. pylori: Helicobacter pylori; CIN: Chromosomal instability; CRC: Colorectal cancer; HGF: Hepatocyte growth factor; BFT: Bacteroides fragilis toxin; CM: Cyclo-modulins; SATA3: Signal transducer and activator of transcription 3; MSI: Microsatellite instability; PCNA: Proliferating cell nuclear antigen; TLRs: Toll-like receptors; cagA: Cytotoxin-associated gene; S. gallolyticus: Streptococcus gallolyticus; S. bovis: Streptococcus bovis.
Figure 1Tumor-promoting inflammation. TLRs: Toll-like receptors; BFT: Bacteroides fragilis toxin; MAPK: Mitogen-activated protein kinase; ETBF: Enterotoxigenic Bacteroides fragilis; IL: Interleukin; TNF-α: Tumor necrosis factor α; COX-2: Cyclooxygenase-2; SATA3: Signal transducer and activator of transcription 3; Th17: T-helper-17.
Figure 2Avoiding immune destruction. TIGIT: T-cell immunoglobulin and ITIM domain; NK: Natural killer.
Figure 3Deregulating cellular energetics. SCFAs: Short chain fatty acids.
Figure 4Sustaining proliferative signaling.
Figure 5Resisting cell death. WEA: Wall extracted antigens; PGE2: Prostaglandin E2; IL: Interleukin; COX-2: Cyclooxygenase-2.
Figure 6Genome instability. Colibactin is a genotoxin associated with particular strains of Escherichia coli. Sulfidogenic bacteria referred to in this diagram are Fusobacterium, Desulfovibrio and Bilophila wadsworthia. ROS: Reactive oxygen species; RNS: Reactive nitrogen species; H2S: Hydrogen sulfide; CIN: Chromosomal instability; BFT: Bacteroides fragilis toxin; MSI: Microsatellite instability; MAPK: Mitogen-activated protein kinase; COX-2: Cyclooxygenase-2.