| Literature DB >> 32440192 |
Lina Elsalem1, Ahmad A Jum'ah2, Mahmoud A Alfaqih3, Osama Aloudat4.
Abstract
The microbiota has an essential role in the pathogenesis of many gastrointestinal diseases including cancer. This effect is mediated through different mechanisms such as damaging DNA, activation of oncogenic pathways, production of carcinogenic metabolites, stimulation of chronic inflammation, and inhibition of antitumor immunity. Recently, the concept of "pharmacomicrobiomics" has emerged as a new field concerned with exploring the interplay between drugs and microbes. Mounting evidence indicates that the microbiota and their metabolites have a major impact on the pharmacodynamics and therapeutic responses toward anticancer drugs including conventional chemotherapy and molecular-targeted therapeutics. In addition, microbiota appears as an attractive target for cancer prevention and treatment. In this review, we discuss the role of bacterial microbiota in the pathogenesis of different cancer types affecting the gastrointestinal tract system. We also scrutinize the evidence regarding the role of microbiota in anticancer drug responses. Further, we discuss the use of probiotics, fecal microbiota transplantation, and antibiotics, either alone or in combination with anticancer drugs for prevention and treatment of gastrointestinal tract cancers.Entities:
Keywords: antibiotics; cancer treatment; dysbiosis; microbiome; prevention; probiotics
Year: 2020 PMID: 32440192 PMCID: PMC7211962 DOI: 10.2147/CEG.S243337
Source DB: PubMed Journal: Clin Exp Gastroenterol ISSN: 1178-7023
Figure 1Most common bacterial microbiota associated with GIT cancers. Microbiota detected in cancer tissues (A), fecal samples (B), or bile secretions (C) from patients with GIT cancers.
Abbreviations: CRC, colorectal carcinoma; DLBCL, diffuse large B cell lymphoma; E. coli, Escherichia coli; E. faecalis, Enterococcus faecalis; ETBF, enterotoxigenic Bacteroides fragilis; F. nucleatum, Fusobacterium nucleatum; GBC, gallbladder carcinoma; GIT, gastrointestinal; HCC, hepatocellular carcinoma; H. Pylori, Helicobacter Pylori; MALT, mucosa-associated lymphoid tissue; OSCC, oral squamous cell carcinoma; PDAC, pancreatic ductal adenocarcinoma; P. gingivalis, Porphyromonas gingivalis; S. anginosus, Streptococcus anginosus; S. gallolytucis, Streptococcus gallolytucis; S. sanguinis, Streptococcus sanguinis; S. Typhi, Salmonella Typhi; SCC, squamous cell carcinoma; spp., species.
GIT Cancers and Microbiota
| Study | Source of Samples | Microbiota | Findings |
|---|---|---|---|
| OSCC | |||
| Nagy et al | Tissues | Higher in OSCC vs adjacent healthy mucosa | |
| Katz et al | Tissues | Higher in gingival SCC vs normal gingiva | |
| Tateda et al | Gingival smears | High in HNSCC | |
| Sasaki et al | Tissues/plaque | High in OSCC tissues and dental plaque | |
| Mager et al | Saliva | Higher in OSCC patients vs healthy controls | |
| Pushalkar et al | Saliva | Higher in OSCC vs healthy controls | |
| Lower in OSCC vs healthy controls | |||
| Schmidt et al | Tissues | Lower in OSCC vs contra-lateral normal | |
| Chang et al | Tissues/plaque | High in OSCC, paracancerous and subgingival plaque vs normal tissues | |
| Esophageal Cancer | |||
| Narikiyo et al | Tissues/saliva | High in esophageal cancer and normal tissues from patients vs saliva from healthy controls | |
| Zaidi et al | Tissues | High in Barrett’s esophagus and EAC vs adjacent normal, dysplasia, and GERD within patients | |
| Nasrollahzadeh et al | Tissues | High in gastric corpus of esophageal cancer vs normal esophagus | |
| Chen et al | Saliva | Lower in ESCC vs healthy controls | |
| Gao et al | Tissues | High in ESSC, adjacent mucosal vs healthy controls | |
| Peters et al | Mouthwash samples | High in EAC | |
| Meng et al | Saliva | High in ESCC vs healthy controls | |
| Yamamura et al | Tissues | Higher in ESCC vs normal controls and significantly linked to shorter survival time | |
| Gastric Cancer | |||
| Nomura et al | Serum IgG Ab | Higher in GC vs normal controls | |
| Kikuchi et al | Serum CagA Ab | ||
| Bartchewsky et al | Tissues | CagA, VacA virulence factors are higher in GC vs chronic gastritis, | |
| Correa et al | HPE | HPE (patients with multifocal nonmetaplastic atrophy and/or intestinal metaplasia, precancerous lesions) interferes with the precancerous process and increases the rate of regression of precursor lesions | |
| Chen et al | HPE | HPE was linked to reduced risk, when the lesions were non-atrophic or atrophic gastritis but not in intestinal metaplastic or dysplastic lesions | |
| Gastric MALT Lymphoma | |||
| Wotherspoon et al | Tissues | Expression in most investigated samples Gastric MALT lymphoma | |
| Parsonnet et al | Serum | Higher | |
| Stolte et al | HPE | Complete remission in 80% of low grade stage E1 lymphomas patients | |
| Gastric DLBCL | |||
| Morgner et al | HPE | HPE led to complete remission in 7/8 patients with DLBCL. | |
| Kuo et al | HPE | HPE led to complete pathological response in most of DLBCL cases | |
| Kuo et al | CagA | CagA detected in gastric DLBCL and is associated with | |
| Chen et al | HPE/long-term follow-up | No tumor recurrence was observed in DLBCL (MALT) after more than 5 years in complete responders | |
| CRC | |||
| Klein et al | Fecal sample | Higher in colon cancer vs controls | |
| Abdulamir et al | Feces, mucosa of colorectum, and colorectal tissues | High in CRC tissues vs healthy controls | |
| Sobhani et al | Fecal sample | Bacteroides/ | Higher in CRC patients vs controls |
| Wang et al | Fecal sample | Higher in CRC patients vs controls | |
| Lower level | |||
| Purcell et al | Mucosal tissue | ETBF | Higher in early-stage lesions |
| Boleij et al | Mucosal tissues | ETBF | Higher in CRC patients vs controls |
| Maddocks et al | Tissues | Higher in CRC vs normal colonic mucosa of CRC patients | |
| Buc et al | Tissues | Cnf and Cdt higher in CRC vs diverticulosis | |
| Bundgaard-Nielsen et al | Tissues | Higher in CRC and diverticular vs adenoma | |
| Amitay et al | Fecal samples | Higher in CRC vs advanced adenomas, non-advanced adenomas and normal controls | |
| Balamurugan et al | Fecal samples | Higher in CRC vs normal controls | |
| Rokkas et al | CRC/adenomas vs healthy controls | Positive association between | |
| Teimoorian et al | Serum | ||
| Marchesi et al | Tissues | Higher in cancer, vs healthy tissues within CRC patients | |
| Lower in CRC tissues | |||
| Shah et al | CRC vs adjacent tissues/fecal samples | Higher in CRC | |
| Lower in CRC vs tumor-adjacent tissues/fecal samples from same cases | |||
| HCC | |||
| Zhang et al | Fecal/cecal samples | Lower in rat model of (DEN) induced HCC | |
| Higher level | |||
| Yoshimoto et al | Fecal sample | High in genetically or (HFD)-induced obesity in mice model. | |
| Xie et al | Fecal sample | High in mice model mimics the development of steatosis and subsequent progression to NASH and HCC. Correlated with LPS levels and the pathophysiological features | |
| Fox et al | Liver tumors | Intestinal colonization was sufficient to promote aflatoxin- and HCV transgene-induced HCC in exposed mice | |
| Huang et al | Tissues | Higher in HCC vs controls | |
| Dore et al | Tissues | VacA and CagA higher level in HCC | |
| Lu et al | Tongue coat | Higher in HCC vs healthy controls | |
| Grat et al | Fecal samples | Higher in HCC in cirrhosis/HCC vs cirrhosis only | |
| Ponziani et al | Fecal samples | Higher in NAFLD-cirrhosis/HCC vs NAFLD-cirrhosis | |
| Pancreatic Cancer | |||
| Raderer et al | Blood samples | Twofold increase in risk in infected patients with pancreatic carcinoma vs controls | |
| Stolzenberg-Solomon et al | Serum level of Abs of | Smoker men, seropositive males for antibodies or CagA+ strains had increased risk for pancreatic cancer compared with seronegative. | |
| Michaud et al | Blood samples/Abs | Twofold increase in risk of pancreatic cancer in patients with high | |
| Mitsuhashi et al | Tissues | Found in 8.8% of PDAC tissues | |
| Gaida et al | Tissues/cell lines | Enhanced the expression of ABCB1 in PDAC and promoted cell invasion and metastasis | |
| Gallbladder Cancer | |||
| Nagaraja et al | Chronic | ||
| Caygill et all | Long-term typhoid carriage | Chronic typhoid carriers have an almost 167-fold higher risk of GBC | |
| Shukla et al | Culture/ | Eightfold more risk of GBC in culture-positive typhoid carriers than non-carriers | |
| Yakoob et al | Bile/GB tissues | Higher in chronic cholecystitis and GBC | |
| Parajuli et al | GB tissues | Higher in GBC vs chronic cholecystitis | |
| Murata et al | GB tissues | Higher in GBC, bile duct cancer vs cholecystolithiasis | |
| Fallone et al | Bile | Not detected in patients diagnosed with gallstones or hepato-biliary malignancies | |
| Csendes et al | Bile | Higher in GBC, gallstones vs controls | |
| Roa et al | Bile | Higher in GBC vs controls, | |
| Tsuchiya et al | Bile | High in GBC, | |
Note: Plain rows represent clinical studies, rows highlighted with pink represent meta-analysis/systematic reviews and rows highlighted with blue represent in vivo studies.
Abbreviations: Ab, antibody; ABCB1, ATP-binding cassette sub-family B member 1; B, Bifidobacterium; C, Capnocytophaga; CagA, cytotoxin-associated gene A; Cdt; cytolethal distending toxin; Cnf, cytotoxic necrotizing factor; CRC, colorectal cancer; CYP450, Cytochrome P450 enzymes; DCA, deoxycholic acid; DEN, diethylnitrosamine; DLBCL, diffuse large B cell lymphoma; DMBA, dimethylbenz(a)anthracene; DMH, 1;2-dimethylhydrazine; E, Escherichia; Eҙ, Enterococcus; EAC, esophageal adenocarcinoma; ETBF, Enterotoxigenic Bacteroides fragilis; ESCC, esophageal squamous cell carcinoma; F, Fusobacterium; FAP, familial adenomatous polyposis; GB, gallbladder; GBC, gallbladder cancer; GC, gastric cancer; GERD, gastroesophageal reflux disorder; GIT, gastrointestinal tract; H, Helicobacter; HCC, Hepatocellular carcinoma, HCV, hepatitis C virus; HFD, high-fat diet; HNSCC, head and neck squamous cell carcinoma; HPE, H. Pylori eradication therapy; IgG, immunoglobulin G; L, Lactobacillus; LPS, Lipopolysaccharide; MALT, mucosa-associated lymphoid tissue; NAFLD, non-alcoholic fatty liver disease; NASH, nonalcoholic steatohepatitis; OSCC, oral squamous cell carcinoma; PDAC, pancreatic ductal adenocarcinoma; P, Porphyromonas; Pҙ, Prevotella; Pж, Pseudomonas; S, Streptococcus; Sҙ, Salmonella; SCC, squamous cell carcinoma; spp, species; T, Treponema; Tҙ, Tannerella; VacA, vacuolating cytotoxin A; vs, versus.
In vivo Studies and Clinical Trials of Probiotics Interventions in GIT Cancers: Gastric Cancer, CRC, and HCC
| Probiotic Strains | Model of Investigation | Findings |
|---|---|---|
| Gastric Cancer | ||
| Animal models | Inhibition of | |
| Clinical trial | Increase | |
| Clinical trial | Increase Reduction of adverse effects caused by | |
| Clinical trial | Increase | |
| Clinical trial | Increase | |
| Clinical trial | Reduction of adverse effects caused by | |
| CRC | ||
| VSL#3 | Mice model | Reduction of adenoma and adenocarcinoma formation. |
| VSL#3 | Rat model | Reduction of adverse effects caused by irinotecan (Weight loss, moderate and severe diarrhea). |
| KFRI342 | Rat model | Reduction of the development of colorectal preneoplastic lesions. Reduction of |
| Mice model | Inhibition of tumor induction by DMH. Reduction of colon tumor size and number. Inhibition of colonic mucosa cellular proliferation. | |
| Rat models | Downregulation of CYP450 expression and activity. | |
| Rat model | Inhibition of tumor induction by DMH. Rehabilitation of gut microbiota. | |
| VSL#3/inulin | Clinical trial | Inhibition of cell proliferation. Potentiation of detoxification capacity of pouch mucosal cells in FAP patients. |
| Clinical trial | Reduction of the bacterial enzymes β-glucosidase, and urease. | |
| Clinical trial | A deterioration of the intestinal environment in CRC patients. Improvement in intestinal environment. | |
| Clinical trial | Reduction of adverse effects caused by 5-FU (diarrhea). | |
| HCC | ||
| VSL#3 | Rat model | Inhibition of DEN-induced hepato-carcinogenesis. Reduction of LPS serum levels, number and size of HCC. |
| Prohep | Mice model | Reduction of tumor growth and size. Rehabilitation of fecal microbiota. Induction of the anti-inflammatory cytokine IL-10 and suppression of the secretion of the inflammatory cytokines IL-17, IL-6, and interferon (IFN)- γ. Reduction of the tumor populations of migratory Th17 cells. Differentiation of type 1 regulatory T cells in the gut and enhancement of T regulatory cell immune-response by bacteria-derived metabolites. Downregulation of proangiogenic genes. |
| Clinical trial | Reduction of the biologically effective dose of aflatoxin exposure and aflatoxin-DNA toxic adduct. | |
Abbreviations: B, Bifidobacterium; CRC, colorectal cancer; CYP450, Cytochrome P450 enzymes; DEN, diethylnitrosamine; DMH, 1,2-dimethylhydrazine; E, Escherichia; FAP, familial adenomatous polyposis; 5-FU, 5-Fluorouracil; H, Helicobacter; HCC, Hepatocellular carcinoma; IL, interleukin; L, Lactobacillus; LPS, Lipopolysaccharide; P, Propionibacterium; S, Streptococcus.