| Literature DB >> 33823861 |
Maryam Ranjbar1, Rasoul Salehi2,3, Shaghayegh Haghjooy Javanmard1, Laleh Rafiee1, Habibollah Faraji4, Sima Jafarpor3, Gordon A Ferns5, Majid Ghayour-Mobarhan6, Mostafa Manian7, Reza Nedaeinia8.
Abstract
Colorectal cancer (CRC) is the third most common cause of cancer globally and the fourth attributable cause of mortality and morbidity due to cancer. An emerging factor contributing to CRC is the gut microbiota and the cellular changes associated with it. Further insights on this may help in the prevention, diagnosis and new therapeutic approaches to colorectal cancer. In most cases of CRC, genetic factors appear to contribute less to its aetiology than environmental and epigenetic factors; therefore, it may be important to investigate these environmental factors, their effects, and the mechanisms that may contribute to this cancer. The gut microbiota has recently been highlighted as a potential risk factor that may affect the structural components of the tumor microenvironment, as well as free radical and enzymatic metabolites directly, or indirectly. Many studies have reported changes in the gut microbiota of patients with colorectal cancer. What is controversial is whether the cancer is the cause or consequence of the change in the microbiota. There is strong evidence supporting both possibilities. The presence of Fusobacterium nucleatum in human colorectal specimens has been demonstrated by RNA-sequencing. F. nucleatum has been shown to express high levels of virulence factors such as FadA, Fap2 and MORN2 proteins. Our review of the published data suggest that F. nucleatum may be a prognostic biomarker of CRC risk, and hence raises the potential of antibiotic treatment of F. nucleatum for the prevention of CRC.Entities:
Keywords: Colorectal cancer; Dysbiosis signature; F. nucleatum; Gut microbiota
Year: 2021 PMID: 33823861 PMCID: PMC8025348 DOI: 10.1186/s12935-021-01886-z
Source DB: PubMed Journal: Cancer Cell Int ISSN: 1475-2867 Impact factor: 6.429
Characteristics of included studies that examine F. nucleatum in colorectal cancer patient
| Authors | Year | Country | Details of study | Sample type (n) | Detection method | Main findings |
|---|---|---|---|---|---|---|
| Haruki et al. [ | 2020 | Boston, USA | Analysis of Fn status in tumor tissue and evaluation autophagic activity of tumor cells by analysis SQSTM1, BECN1, and MAP1LC3 expression | Tissue (724) | qPCR | Fn was detected in 14% colorectal cancer cases High and intermediate expression of BECN1 gene in colorectal cancer tissue were inversely associated with the amount of Fn that suggested possible role of autophagy (Ptrend < 0.001) and the expression of SQSTM1 and MAP1LC3 in tumors were not significantly associated with the level of Fn (Ptrend > 0.06) No significant association was observed between the expression of BECN1, MAP1LC3, and SQSTM1 and patient survival (Ptrend > 0.10) |
| Okita et al. [ | 2020 | USA | Assessment whether | Tissue (304) CRC Japan (174) | qPCR | There are a significant association between microsatellite instability-high (MSI-H) and L/E and the amount of |
| Chen et al. [ | 2020 | China | Investigation the relationship between | Fecal (49) Tissue (83) | qPCR | There was a significant relationship between Fn infection and CRC metastasis so CRC patients with lymph nodes metastasis have high level of |
| Chen et al. [ | 2020 | China | Assessment | Tissue (62) | FISH | |
| Abed et al. [ | 2020 | USA | Evaluation of | Saliva (7) | qPCR Immunofluorescence Hemagglutination Assay | Oral microbial are the source of CRC-fusobacteria Hematogenous fusobacteria were more successful in CRC colonization than gavaged ones in the MC38 and CT26 mouse orthotropic CRC models |
| Chen et al. [ | 2019 | China | Investigation the relationship between F nucleatum and microsatellite instability status, clinicopathological features and its prognostic effect in CRC patient (stages II–III) | FFPE (91) | qPCR | No significant relationship was observed between F nucleatum species (OR: 2.094, 95% CI [1.178–8.122], P = 0.032) and MSI status (OR 2.243, 95% CI 1.136–5.865, P = 0.039) were independent prognostic factors in CRC patient |
| Feng et al. [ | 2019 | China | Analysis of genes and miRNAs involved in the progression of | Tissues (15) | miRNA microarray Human Transcriptome Array | miR-4717 and miR-4474 were significantly up-regulated in the tumor tissue compared to the normal in response to Bioinformatic analysis revealed that CREB-binding protein (CREBBP) is the primary aberrantly expressed gene in Real-time RT-PCR analysis showed that miR-4474/4717 was upregulated while CREBBP was downregulated in CRC patients with CREBBP was introduced as a novel target of miR-4474/4717 |
| Butt et al. [ | 2019 | Europe | Assessment whether antibody responses to | EPIC cohort: serum (485) | Multiplex serology method | No significant association was observed between antibody against |
| Guven et al. [ | 2019 | Turkey | Examination the quantities of three CRC related bacteria such as | Saliva (71) | qPCR | No significant results was observed in ROC curve analyses for |
| Tunsjø et al. [ | 2019 | Norway | Investigation the levels of | Stool and mucosa (72) | qPCR | Levels of |
| Kunzmann et al. [ | 2019 | Czech Republic | Evaluation of | Tissues (190) | qRT-PCR | High levels of Fn was associated with poorer overall survival (HR 1.68, 95% CI 1.02–2.77, P = 0.04) |
| Zhang et al. [ | 2019 | China | Assessment whether high expression of BIRC3 induced by | FFPE (94) | qPCR | There was a significant correlation between high level of |
| Lee et al. [ | 2018 | Korea | Investigation the association between | FFPE and Tissue (246) | qPCR | High levels of Fn was associated with poorer overall survival in metastatic CRC (P = 0.042) Mutation rate of AMER1 (P = 0.030), ATM (P = 0.008), and TGF-b pathway (P = 0.020) were associated with high amount of |
| Yamaoka et al. [ | 2018 | Japan | Measuring absolute copy numbers of | Tissue (100) | droplet digital PCR | Fn copy number (median) was 1.6 copies/ng DNA in CRC and 0.4 copies/ng DNA in normal group (P = 0.0046) |
| Hamada et al. [ | 2018 | USA | Assessment the association of | NHS and HPFS Cohorts: Tissue (1041) | qPCR | Negative association was observed between |
| Chen et al. [ | 2018 | China | Evaluation the association between the presence of | Tissue (138) | IHC, FISH, Immuno-fluorescence | CD4+ T-cell density and TOX expression were higher in Negative correlation was observed between |
| Liu et al. [ | 2018 | USA | Examination inflammatory diet intakes in relation to incidence of colorectal cancer subtypes in response to | NHS and HPFS Cohorts: (951) | qPCR | Increased risk of There was a significant associated between proximal |
| Guo et al. [ | 2018 | China | Measuring the relative the quantities of | Stool Cohort I. CRC (215), BCD (178), NGC (100), 156 HCs Cohort II. CRC (152), 102 HCs | qPCR 16S rDNA sequencing | The sensitivity of 84.6% and specificity of 92.3% for in detecting CRC was calculated in the microbial ratio of |
| Proença et al. [ | 2018 | Brazil | Examination the effect of | Tissue sample CRC (43) CRA (27) | qPCR | Positive correlations were observed between Negative correlation were observed between The abundance of |
| Chen et al. [ | 2017 | China | Assessment the association between β-catenin nuclear accumulation and | Tissue 98 | FISH | No significant association was observed between The frequency of TLR4, PAK1 and nuclear β-catenin proteins were higher in Fn-positive than Fn-negative CRCs (P < 0.05) |
| Yan et al. [ | 2017 | China | Analysis the levels of Fn and its prognostic significance in human CRC (stage III/IV) and normal tissues | Tissues (280) | qPCR | Fn level is significantly higher in CRC tissues than in adjacent normal tissues (P < 0.001) High level of Fn was significantly correlated with lymph node metastasis status (P = 0.008), tumor invasion (P = 0.015), and distant metastasis (P = 0.020). Fn level was significantly correlated with the expression of E-cadherin (r = − 0.301, P < 0.001), N-cadherin N-cadherin (r = 0.377, P < 0.001), and Nanog (r = 0.362, P < 0.001) Patients with low level of Fn had a significantly better cancer-specific survival (CSS) and disease-free survival (DFS) than those with high Fn level (CSS, P < 0.001; DFS, P < 0.001) |
| Suehiro et al. [ | 2017 | Japan | Developing a method for | Feces: CIS (19) CRC (158) | ddPCR | Droplet digital PCR has high sensitivity for detection of |
| Ye et al. [ | 2017 | Texas | Identification the specific | Tissue (25) | qPCR Cytokine panel assay, ELISA | |
| Yu et al. [ | 2017 | China | Investigation the contribution of gut microbiota to chemoresistance in CRC patients | Cohort 1: Tissue (31) Cohort 2: FFPE (92) Cohort 3: FFPE (173) | qPCR | |
| Mehta et al. [ | 2017 | USA | Assessment the associations of prudent and Western diets with colorectal cancer risk in response to | NHS and HPFS Cohorts: (137,217) | qPCR | The association between prudent diet and colorectal cancer risk significantly differed in Significant inverse correlation was observed between Prudent diet score and |
| Amitay et al. [ | 2017 | Germany | Examination the presence and relative abundance of | Stool (500) | 16S rRNA gene analysis | |
| Mima et al. [ | 2016 | USA | Measuring the amount of | FFPE (1102) | qPCR | |
| Nosho et al. [ | 2016 | Japan | Analysis of Fn status in DNA samples from formalin-fixed paraffin embedded (FFPE) tissues in CRC patient (stages I–IV) | Tissues (511) | qPCR | Fn positivity in the Japanese patient was 8.6% which was lower than that in United States cohort studies (13%) Similar to the United States studies, Fn positivity in Japanese colorectal cancers was significantly associated with microsatellite instability (MSI)-high status. Regarding the immune response in colorectal cancer, high levels of infiltrating T-cell subsets (i.e., CD3+, CD8+, CD45RO+, and FOXP3+ cells) have been associated with better patient prognosis |
| Li et al. [ | 2016 | China | Investigation the Fn abundance in tissues and its association with CRC | Tissues (101) | q-PCR FISH | Fn was over-represented in 87.1% of CRC tissues and Fn level is significantly higher in CRC tissues than in adjacent normal tissues (P < 0.001) |
| Mima et al. [ | 2016 | USA | Analysis of the association between | FFPE (1069) | qPCR | The level of |
| Wang et al. [ | 2016 | China | Measuring anti-Fn antibodies levels in CRC patients and evaluation of diagnostic value of serum anti-Fn antibodies in CRC patients | Stool (10) Serum (258) | PCR indirect whole-cell ELISA | Fn-infection can induce high level of anti-Fn antibodies in the serum of CRC patients Anti-Fn-IgA and -IgG were significantly higher in CRC patient than benign colon and control group (P < 0.001) Combination of anti-Fn-IgA with carcino-embryonic antigen (CEA) had diagnostic value CRC patient (Sen: 53.10%, Spe: 96.41%; AUC = 0.848) |
| Fukugaiti et al. [ | 2015 | Brazil | Evaluation the presence of oral and intestinal microorganisms in the fecal microbiota of CRC patients and controls | Stool (17) | qRT-PCR | They were detected significantly more |
| Mima et al. [ | 2015 | USA | Assessment the hypothesis that | NHS and HPFS Cohorts: FFPE (598) | qPCR Tissue microarray IHC | Negative association was observed between OR, 0.47; 95% CI [0.26 to 0.87]; Ptrend = 0.006) No significant association was observed between |
| Ito et al [ | 2015 | Japan | Investigation | FFPE (511) | qPCR | |
| Tahara et al | 2014 | Japan | Analysis of | Tissues (149) | q-PCR | Fn was detected in CRC tissues (74%) and the amount of Fusobacterial in normal tissue was 250-fold lower (mean) compared to CRC tissues Fn species in CRC group were associated with microsatellite instability (P = 0.018), CpG island methylator phenotype positivity (P = 0.001) and some genes: |
| Flanagan et al. [ | 2014 | Germany Czech Republic (CZ) | Evaluation of the potential of | Tissue Czech cohort (49) German cohort (45) Irish cohort (28) adenoma (52) Stool CRC (7) adenoma (24) | qPCR | No significant association was observed in the Low Fn levels was associated with longer overall survival time CRC patients (P = 0.008) No significant association was observed in the |
| McCoy et al. [ | 2013 | USA | Assess the abundance of Fusobacterium in the normal rectal mucosa of subjects with and without adenomas and Confirmatory Study in CRC | Tissue Adenoma (48) CRC (10) | qPCR, FISH pyrosequencing | No significant correlation was observed between adenoma size and Positive correlations were found between |
| Kostic AD et al. [ | 2013 | USA | Assessment of | Stool (56) and tissue (31) | qPCR FISH analysis | Fusobacterium spp was high in CRC patients (P < 1 × 10–5) and in the stool samples with adenomas as compared to control groups (P < 5 × 10–3) |
| Castellarin et al. [ | 2012 | Canada | Evaluation of the association inflammatory microorganisms with other gastrointestinal (GI) cancers | Tissue (99) | qPCR RNA-seq | Positive correlations were observed between |
Fig. 1PRISMA flowchart of study selection
Fig. 2The main mechanism of F. nucleatum pathogenesis in CRC is illustrated. The adhesion and invasion of FadA from F. nucleatum to epithelialand endothelial cells of human in pathway 1 can be observed while levels of inflammatory cytokine (IL-6, IL-8,IL-10, IL-18, TNF-α, and NF- κB) grow in a proinflammatory microenvironment which in turn leads to colorectal tumor progression; FadA interaction with E-cadherin in pathway 2 in epithelial cells leads to activating of β-catenin signaling, increasing NF-κB inflammatory gene expression and enhancing tumor cell proliferation. F.nucleatum-infected cells, on the other hand, enhance miRNA expression by Toll-like receptor activation and therefore miRNA release development. F.nucleatum in pathways 3 and 4 reduces the activity of human T cells in a micro-suppressor of the tumor immune system. The interaction between Fap2 from F.nucleatum and the human inhibitor receptor TIGIT in pathway 5 leads to the death of lymphocyte cells of human, resulting in a microenvironment of immunosuppression that increases the progression of CRC