| Literature DB >> 31334107 |
Seul A Lee1, Fang Liu1, Stephen M Riordan2, Cheok S Lee3,4,5,6, Li Zhang1.
Abstract
Colorectal cancer (CRC) is the third most prevalent cancer and second in terms of mortality. Emerging evidence from recent studies suggests a potential role of Fusobacterium nucleatum in the development of CRC. In this article, we review studies from different geographical regions examining the association between F. nucleatum and CRC, the detection methods and the tumorigenic mechanisms. Furthermore, we discuss the potential clinical impact of F. nucleatum in CRC and suggest future study directions.Entities:
Keywords: CRC; F. nucleatum; Fusobacterium nucleatum; colorectal cancer; tumorigenic mechanisms
Year: 2019 PMID: 31334107 PMCID: PMC6618585 DOI: 10.3389/fonc.2019.00566
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 6.244
Figure 1The phylogenetic tree generated based on 16S rRNA sequences of Fusobacterium species. The phylogenetic tree was generated using the maximum likelihood method. Bootstrap values were generated from 1,000 replicates and values of more than 70 were indicated. Escherichia coli MG1655 was included as an out group. Updated Fusobacterium species from previous subspecies are indicated by asterisks (*) (6). The 16S rRNA sequences of Fusobacterium species and Escherichia coli MG1655 were obtained from the National Center Biotechnology Information database.
Studies examining the association between Fusobacterium nucleatum and CRC using colorectal tissues and fecal samples.
| Yan et al. ( | China | CRC (280), adjacent normal tissues (280) | • | Quantitative reverse transcription PCR using |
| Li et al. ( | China | CRC (101), adjacent normal tissues (101) | •The median abundance of | Fluorescent quantitative PCR using primer and probe sequences for |
| Wei et al. ( | China | CRC (180), adjacent normal tissues (180) | • | Sequencing of V4 region of bacterial 16S rRNA gene |
| Yu et al. ( | China | Cohort 1: CRC with recurrence (16), CRC without recurrence (15) Cohort 2: CRC with recurrence (48), CRC without recurrence (44) Cohort 3: CRC with recurrence (87), CRC without recurrence (86) | •In cohort 1, | Sequencing using 16S rRNA gene and quantitative real-time PCR using primers specific for |
| Liang et al. ( | China | Cohort 1: CRC (170), healthy controls (200)Cohort 2: CRC (33), healthy controls (36) | •The median abundance of | Duplex quantitative PCR targeting 16S rRNA gene (TaqMan method) |
| Wong et al. ( | China | CRC (104), advanced adenoma (103) and healthy controls (102) | •In comparison to healthy controls, patients with CRC had a significantly higher abundance of | Species specific quantitative real-time PCR (SYBR Green method) |
| Yamaoka et al. ( | Japan | CRC (100), matched normal mucosa (72) | •The detection rates of | Droplet digital PCR using primer targeting |
| Ito et al. ( | Japan | CRC (511), premalignant lesions: serrated lesions (343) and non-serrated adenomas (122) | • | Quantitative PCR using primer specific for |
| Suehiro et al. ( | Japan | CRC stage I to IV (158), colorectal advanced adenoma/carcinoma | •The median copy numbers of | Droplet digital PCR using sequences of the |
| Flanagan et al. ( | Ireland, Czech Republic and Germany (European cohorts) | CRC (122), matched normal controls (122) | •In all three European cohorts, the abundance of | Quantitative real-time PCR using primers specific for |
| Bundgaard-Nielsen et al. ( | Denmark | CRC (99), paired normal controls (99), CRA (96) and diverticular disease of the colon (104) | • | Quantitative real-time PCR using primers specific for |
| Eklöf et al. ( | Sweden | CRC (39), dysplasia (134), controls (66) | •The abundance of | Quantitative real-time PCR using a FAM-labeled probe specific for |
| Russo et al. ( | Italy | CRC (10), healthy controls (10) | •No significant difference between stool samples of healthy subjects of CRC patients was observed. However, it was found that | Quantitative real-time PCR using species-specific primers targeting 16S rRNA sequence |
| Castellarin et al. ( | Canada | CRC (99), matched normal (99) | •RNA-Seq showed that | RNA-Seq; quantitative PCR using primer/probe targeting |
| Mima et al. ( | United States | CRC (598), adjacent non-tumor tissues (558) | • | Quantitative PCR using primer targeting the |
| Mima et al. ( | United States | CRC (1102) | • | Quantitative PCR using primer targeting the |
| Proença et al. ( | Brazil | CRC (43), adjacent normal tissue (N-CRC 43), CRA (27), matched adjacent normal tissue (N-CRA 27) | •A significant increase in bacterial DNA was found for both CRA and CRC tissues compared to the respective normal adjacent tissues ( | Quantitative real-time PCR using |
| Fukugaiti et al. ( | Brazil | CRC (7), healthy controls (10) | •The level of | Quantitative real-time PCR using species-specific primers (SYBR Green method) |
For studies from each country, studies using CRC tissues were listed first, followed by studies using fecal samples. CRC, colorectal cancer; CRA, colorectal adenoma; CIS, carcinoma in situ; RQ, relative quantification.
Figure 2Tumorigenic mechanisms of Fusobacterium nucleatum in colorectal cancer. Studies have suggested the following tumorigenic mechanisms of F. nucleatum in colorectal cancer (CRC). (1) Increase in tumor cell proliferation: F. nucleatum increases the expression of oncogenes such as c-Myc and Cyclin D1 and microRNA-21, directly promoting tumor growth. (2) Suppression of the anti-tumor activity of natural killer (NK) and T cells: The activity of NK cells and T cells are suppressed by F. nucleatum through interaction with the T cell immunoglobulin and ITIM domain (TIGIT) receptor expressed on NK cells and T cells, binding and activating the carcinoembryonic antigen-related cell adhesion molecule (CEACAM) 1, arresting T cells at G1 phase and increasing the infiltration of myeloid-derived suppressor cells. (3) Generation of pro-inflammatory microenvironment: F. nucleatum induces pro-inflammatory cytokines production by cancer cells and immune cells. (4) Promotion of chemoresistance: F. nucleatum promotes chemoresistance to 5-fuorouracil (5-FU) by up-regulating baculoviral inhibitor of apoptosis protein repeat 3 (BIRC3) in CRC cells via Toll-like receptor 4 (TLR4)/Nuclear factor-kappa B (NF-κB) pathway, which results in inhibition of cancer cell apoptosis and reduced chemosensitivity to 5-FU. F. nucleatum also promotes chemoresistance by modulating autophagy. CRC cells infected with F. nucleatum activate the TLR4 and MYD88 innate immune signaling pathway, causing the loss of microRNAs miR-18a and miR-4802, and up-regulating autophagy elements, ULK1 and ATG7, which ultimately leads to inhibition of cancer cell apoptosis.