| Literature DB >> 35565269 |
Raghad Khalid Al-Ishaq1, Lenka Koklesova2, Peter Kubatka3, Dietrich Büsselberg1.
Abstract
Gastrointestinal cancer (GI) is a global health disease with a huge burden on a patient's physical and psychological aspects of life and on health care providers. It is associated with multiple disease related challenges which can alter the patient's quality of life and well-being. GI cancer development is influenced by multiple factors such as diet, infection, environment, and genetics. Although activating immune pathways and components during cancer is critical for the host's survival, cancerous cells can target those pathways to escape and survive. As the gut microbiome influences the development and function of the immune system, research is conducted to investigate the gut microbiome-immune interactions, the underlying mechanisms, and how they reduce the risk of GI cancer. This review addresses and summarizes the current knowledge on the major immune cells and gut microbiome interactions. Additionally, it highlights the underlying mechanisms of immune dysregulation caused by gut microbiota on four major cancerous pathways, inflammation, cellular proliferation, apoptosis, and metastasis. Overall, gut-immune interactions might be a key to understanding GI cancer development, but further research is needed for more detailed clarification.Entities:
Keywords: anti-cancer; colorectal cancer; gastrointestinal cancer; gut microbiome; immune system; immune–gut interaction
Year: 2022 PMID: 35565269 PMCID: PMC9101278 DOI: 10.3390/cancers14092140
Source DB: PubMed Journal: Cancers (Basel) ISSN: 2072-6694 Impact factor: 6.575
Figure 1Schematic illustration of regional diversity of the microbiome along the GI tract. The figure is divided into different regions of the GI tract and highlights the microbial concentration ranges, common phylum and genus, relative abundance [27], and immune regulations specific to each region. “Created with BioRender.com”.
Figure 2Summary of the most reported gut microbiome and immune interactions. While the left side of the figure illustrates the influence of segmented filamentous bacteria (SFB) and antimicrobial peptides (AMP) on the host immune system through the activation of Th17 and MyD88 signaling, respectively, the right section of the figure highlights the role of dietary fibers and short chain fatty acids (SCFA) on T cells expression. The role of bacterial antigens on the production of IgA dimer is shown in the middle part of the figure. “Created with BioRender.com”.
Representative microbial–immune interactions and their underlying anticancer effects.
| Targeted Cancer Pathway | Type of Cancer (s) | Microbial Species | Targeted Metabolites/ | Targeted Immune Cells/ | Site of Interaction | Mechanism of Action | Methods of Testing | Model Used | References | |
|---|---|---|---|---|---|---|---|---|---|---|
| In Vivo | In Vitro | |||||||||
| Inflammation | Colon cancer | Short-chain fatty acids (SCFA) | IL-18 | Colon |
SCFA receptors (GPR43, GPR41) promote barrier immunity Suppress bacterial invasion Regulate T-cell response in the intestine (TH17) Promote the expression of intestinal tight junction proteins | Quantitative reverse transcription PCR |
C57BL/6 mice Apc Min/+ mice | [ | ||
| Colon tumorigenesis |
| Not specified | CD8 T cells | Colon |
Gut dysbiosis promote tumorigenesis via CD8-independent mechanisms Presence of specific bacterial populations Gut dysbiosis promotes T cell exhaustion which reduces anti-tumor immunity | 16S rRNA sequencing |
SPF WT1 mice Cd8 mice | [ | ||
| Colon cancer | Mix of enteric flora from fecal samples | Compound K | IL-8 | Colon |
Compound K exerts an anti-proliferative effect on colon cancer Compound K actively inhibited the cellular growth of colon cancer Compound K significantly induced apoptosis Compound K significantly reduced the production of IL-8 at 20 μM Compound K exerts significant anti-inflammatory effects on colon cancer at low concentration | Flow cytometry |
HCT-116 HT-19 | [ | ||
| Colon cancer | Segmented filamentous | FAM3D (cytokine like family) a gut secreted protein | CD3 T cells | Colon |
FAM3D deficiency impaired mucosal barrier function by reducing acidic mucins expression. This leads to the expansion of potential pathogens such as Deferribacteraceae and Muribaculaceae. Absence of this molecule lead to increased low-level inflammation | Immunofluorescent staining | - C57BL/6 mice | [ | ||
| Colon cancer |
| Gpr109a | IL-17 | Colon |
Gpr109a suppresses IL-23 production by dendritic cells IL-23 plays a role in the induction of inflammatory bowel disease Gpr109a inhibits the production of microbiota-induced inflammatory cytokines | Antibody treatment | - C57BL/6 mice | [ | ||
| Colon cancer |
| TGF-β | NF-β | Colon |
Disruptions in the TGF-β signaling can cause tumorigenesis if combined with Helicobacter hepaticus Deficiency in TGF-β leads to a decrease in butyrate production which can promote tumor formation and inflammation | DNA/RNA sequencing | - Smad3 mice | [ | ||
| Colon cancer |
| IL-23 produced from dendritic cells | IL-1A | Colon |
IL-23 level increased in colon cancer, and it correlates strongly with pro-inflammatory cytokines IL-23 has a direct impact on epithelial barrier permeability IL-23 is highly expressed in colon tumor samples IL-23 triggers an inflammatory pathway through the Th17 expansion | Cell proliferation assays | - F344 rats |
Caco2 HCT116 | [ | |
| Colon cancer | LRP5/6-β-catenin-IL-10 signaling axis | TNF-α | Colon |
LRP5/6 signaling plays a role in suppressing colitis-associated tumor Deficiency of LRP5/6 resulted in a marked increase in p38 MAPK activation, which is critical for the expression of inflammatory factors LRP5/6 deficient mice displayed a higher level of CD4+ cells producing IL-17A compared to wild type mice Deletion of LRP5/6 in CD11c+ APCs resulted in lower levels of IL-22 production | Antibiotic treatment |
C57BL/6 mice CD11c-cre mice | [ | |||
| Colon cancer | Not specified | TLR-4 | Dual oxidase 2 (DUOX2) | Colon |
The level of TLR4, DUOX2, and NOX1 was upregulated in colon cancer cells Gut microbiota activate TLR-4, which stimulates ROS production through Duox2 even after the inflammation is treated Activation of TLR4 and DUOX2 increases the production of H2O2, which promotes tumor initiation | Cell viability assays |
Villin-TLR4 mice C57Bl/6 mice | [ | ||
| Colon cancer |
| Short chain fatty acids (SCFA) | NOD-like receptor family | Colon |
Intestinal secretory immunoglobulin A (sIgA) expression was decreased in the mice receiving fecal samples from colorectal cancer patients Real-time PCR results showed an upregulation in the expression of pro-inflammatory cytokines such as NLRP3, TNF-α, and IL-1β. Gut microbiota from colorectal cancer patients enhanced the activation of Wnt signaling pathway | Fecal microbiota transplant | - C57BL/6J mice | - Fecal samples | [ | |
| Cellular Proliferation | Colon cancer |
| microRNA-31 | CD3 T cells | Colon |
F. nucleatum arrested human T-cells in the G1 phase of the cell cycle F. nucleatum expanded myeloid-derived immune cells, which can inhibit T-cells proliferation MicroRNA-31 (miR-31) expression was significantly upregulated in cancer which can be associated with a poor prognosis | Quantitative PCR | - Colorectal carcinoma tissues from patients | [ | |
| Colon cancer |
| YYFZBJS (traditional Chinese herbs) | CD4 T cells | Colon |
YYFZBJS reduced tumor multiplicity and numbers in the CRC mouse model YYFZBJS treatment changed the composition of bacterial taxa in the colon YYFZBJS induced multiple inflammatory pathways such as Treg/Th17 signaling leading to a significant expression of IL-6, IL-10, IL-17 YYFZBJS inhibited cellular proliferation through Enterotoxigenic Bacteroides fragilis primed T-regulatory cells | Quantitative PCR | - ApcMin/+ mice |
HCT116 cells MC-38 cells | [ | |
| Colitis-associated colon cancer (CAC) | Not specified | TLR-4 | TNF-a | Colon carcinoma |
During the inflammatory phase of colon cancer, TLR-4 was upregulated in colonic tissues, which promoted tumor development Blocking TLR-4 with TAK-242 reduced the release of TNF-a and IL-1b | Cytokine Quantification | - BALB/c mice | - CT26 cells | [ | |
| Metastasis | Colon cancer | Not specified | Inflammasome pathway | IL-18 | Colon |
Mice deficient in Caspase-1- were susceptible to CRC liver metastasis Nlrp3 inflammasome is required to suppress CRC liver metastasis IL-18 is critical for inflammasome mediated CRC growth in the liver suppression through the modulation of NK cells | Quantitative Real-Time PCR | - C57BL6/J mice | [ | |
| Colon cancer |
|
| CD8 T cells | Colon |
The presence of F. nucleatum was associated with a lower CD8+ T cell density The presence of F. nucleatum was associated with a higher myeloid-derived suppressor cells densities (MDSC) F. nucleatum promotes the development of colonic neoplasia through the recruitment of MDSCs into the tumor | Immunohistochemical staining |
Patients undergoing chemotherapy ApcMin mouse | - Colorectal cancer liver metastases cells | [ | |
| Colon cancer |
| Sodium butyrate | IL-10 | Colon |
Sodium butyrate administration reduced Treg frequencies Sodium butyrate significantly increased the rate of natural killer T cells in the liver Sodium butyrate decreased IL-10 production while increasing the production of IL-17 in colorectal liver metastasis mice | Quantitative Real-Time PCR | - BALB/c mice | [ | ||
| Apoptosis | Colon cancer |
| Follicular helper T (TFH) cells | caspase-3 | Colon |
Ileal microbiota is critical for the activation of TFH cells The density of TFH cells correlated with ileal caspase-3 activation during ileal apoptosis, suggesting a potential anti-tumor activity Microbial structures such as bacterial RNA can trigger IL-1β-dependent differentiation of TFH cells. | Antibiotic treatment | - C57BL/6J mice |
Luminal content from proximal colon CT26 cells 4T1 cells | [ |
| Colon cancer |
| Fucoidan | β-catenin C-Myc | Colon tissues |
Treatment with fucoidan increased cellular apoptosis and decreased tumor incidence and mean weight Treatment with fucoidan decreased the expression of β-catenin C-Myc and CyclinD1 The level of NK cells, interferon-γ, IL-4, IL-10, and CD4 T cells were increased in the fucoidan treated models, while the levels of interleukin (IL)-17 and IL-23 were decreased | Flow cytometry | - Sprague–Dawley (SD) rats | [ | ||
| Colon cancer | Not specified | BCL-G (BCL2L14) | IFN-γ | Colon |
BCL-G S/L level was upregulated during Th1 cytokine-induced apoptosis through the synergetic regulation of IFN-γ and TNF-α. Both STAT1 and SWI/SNF-mediated chromatin remodeling played a role in the induction of BCL-G S/L level Despite these results, BCL-G was unessential for death in intestinal epithelial cells | Crystal violet staining |
HT-29 cells Colonic biopsy | [ | ||
Figure 3Schematic representation of the immune—gut interactions during GI cancer and how it influences the inflammatory responses. Due to gut dysbiosis, the low level of short chain fatty acids can lead to the activation of inflammatory pathway, the production of cytokines and chemokines and the activation of STAT3 and NF-kB signaling pathways. “Created with BioRender.com”.
Figure 4Schematic illustration of two pathways in which two bacteria Fusobacterium nucleatum and Holdemanella biformis facilitate cancer progression and cellular proliferation through FadA- E-cadherin interaction and short chain fatty acids (SCFA), respectively. (A) represent the proliferative example while (B) the anti-proliferative example. “Created with BioRender.com”.
Figure 5Summarizes the influence of Fusobacterium nucleatum on cancer metastasis either by targeting sugar residues Gal-GalNAc on cancerous cells or targeting receptors that are overexpressed on natural killer cells (NK). “Created with BioRender.com”.
Figure 6Illustrations of the role of short-chain fatty acids specifical butyrate on cellular apoptosis. The figure highlights the Gpr109a receptor and the pathways that lead to the reduction of mucosal tissue repair and Caspase 3 activation. “Created with BioRender.com”.
Figure 7Illustrations of the gut bacteria and their role in modulating the efficacy of the currently used anti-cancer drugs. The figure summarizes the influence of the reported bacteria on immunotherapy and chemotherapy treatments. “Created with BioRender.com”.