| Literature DB >> 32737964 |
Qun Deng1, Changjian Wang2, Kailin Yu3, Yahui Wang1, Qinyan Yang2, Jingjing Zhang1, Xiaoping Xu4.
Abstract
BACKGROUND An increasing number of studies have demonstrated that Streptococcus bovis and its concomitant inflammatory factors concentrate in the intestine in colorectal cancer (CRC). However, the molecular mechanism of S. bovis on colorectal tumorigenesis remains unclear. This study aimed to explore the role of S. bovis in carcinogenesis and its potential mechanism in CRC of mice orally pretreated with S. bovis. MATERIAL AND METHODS The colons of experimental mice were collected and evaluated for the extent of neoplasm. In addition, comparative feces DNA sequencing was adopted to verify the abundance change of S. bovis during the progression of CRC in patients. RESULTS The results of this study found that S. bovis is more likely to be present at higher levels in patients with progressive colorectal carcinoma compared to those adenoma patients and healthy volunteers (P<0.05). Pretreatment with S. bovis aggravated tumor formation in mice, resulting in more substantial and a higher number of tumor nodes (P<0.05). A cytokine expression pattern with increased levels of IL-6, Scyb1, Ptgs2, IL-1ß, TNF, and Ccl2 was detected in S. bovis pretreated CRC mice (all P<0.05). Furthermore, S. bovis recruited myeloid cells, especially CD11b⁺TLR-4⁺ cells, which could promote pro-tumor immunity in the tumor microenvironment (P<0.05). CONCLUSIONS Collectively, our study indicates that S. bovis may induce a suppressive immunity that is conducive to CRC by recruiting tumor-infiltrating CD11b⁺TLR-4⁺ cells. In conclusion, S. bovis contributes to colorectal tumorigenesis via recruiting CD11b⁺TLR-4⁺ cells.Entities:
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Year: 2020 PMID: 32737964 PMCID: PMC7418781 DOI: 10.12659/MSM.921886
Source DB: PubMed Journal: Med Sci Monit ISSN: 1234-1010
Figure 1Streptococcus bovis are enriched in colorectal carcinoma patients. Abundance of S. bovis in feces from healthy subjects (n=20), patients with colorectal adenomas (n=30), and CRC (n=32). *** P<0.001.
Figure 2Streptococcus bovis accelerates tumor development of CRC in vivo. (A) Weight changes during the strains pretreatment. (B) Colorectal morphology for tumor nodes (black arrows indicate the diameter is larger than 1 mm). (C) Comparison between the Model group (n=12) and the S. bovis group (n=12). (D) Hematoxylin and eosin stained sections of colons in these 3 groups at the 53rd day. * P<0.05, ** P<0.01.
Figure 3Streptococcus bovis contribute to the development of CRC by recruiting TLR-4+CD11b+ cells. (A) Relative mRNA expression of IL-6, Scyb, Ptgs2, IL-1β, TNF, and Ccl2 (Model group n=12; S. bovis group, n=12). (B) The gating methods with density plots for intratumoral myeloid cells. (C) Percentage and count of colonic TLR-4+CD11b+ cells (Control group, n=8; Model group, n=12; S. bovis group, n=12). * P<0.05, ** P<0.01.
Relationship between abundance of Streptococcus bovis and clinicopathological characteristics of CRC patients.
| N | Abundance of | P value | ||
|---|---|---|---|---|
| Low (16) | High (16) | |||
| Gender | ||||
| Male | 18 | 11 | 7 | 0.154 |
| Female | 14 | 5 | 9 | |
| Age (years) | ||||
| ≥60 | 19 | 8 | 11 | 0.280 |
| <60 | 13 | 8 | 5 | |
| Tumor size | ||||
| ≥4 cm | 12 | 3 | 9 | 0.028 |
| <4 cm | 20 | 13 | 7 | |
| TNM | ||||
| I–II | 14 | 10 | 4 | 0.033 |
| III | 18 | 6 | 12 | |
| Lymph node metastasis | ||||
| No | 17 | 11 | 6 | 0.077 |
| Yes | 15 | 5 | 10 | |
| Tumor site | 0.404 | |||
| Transverse colon | 7 | 5 | 2 | |
| Descending colon | 8 | 4 | 4 | |
| Rectum | 17 | 7 | 10 | |
Data are analyzed by chi-square test.
P<0.05 represents statistical difference.
The primers for genes detected by real-time polymerase chain reaction.
| Gene | Forward primer (5′-3′) | Reverse primer (5′-3′) |
|---|---|---|
| AACGCGAAGAACCTTACCAG | GAGTGCCCAACTGAATGATG | |
| Total bacterial DNA | GCAGGCCTAACACATGCAAGTC | CTGCTGCCTCCCGTAGGAGT |
| GAPDH | CCCTTCATTGACCTCAACTACA | ATGACAAGCTTCCCGTTCTC |
The tumor burden of each animal in Figure 2.
| Model group (n=8) | |||||||
|---|---|---|---|---|---|---|---|
| Mouse No. | Tumor number/mouse | Diameter (mm) | Tumor number (≥3 mm)/mouse | Mouse No. | Tumor number/mouse | Diameter (mm) | Tumor number (≥3 mm)/mouse |
| 1 | 12 | 3 | 6 | 1 | 7 | 3 | 4 |
| 2 | 11 | 3 | 5 | 2 | 7 | 3 | 2 |
| 3 | 10 | 3 | 4 | 3 | 6 | 3 | 1 |
| 4 | 9 | 3 | 4 | 4 | 5 | 2 | 0 |
| 5 | 8 | 3 | 3 | 5 | 5 | 1 | 0 |
| 6 | 8 | 3 | 2 | 6 | 4 | 1 | 0 |
| 7 | 7 | 3 | 1 | 7 | 3 | 1 | 0 |
| 8 | 7 | 2 | 0 | 8 | 3 | 1 | 0 |
| 9 | 7 | 1 | 0 | ||||
| 10 | 6 | 1 | 0 | ||||
| 11 | 6 | 1 | 0 | ||||
| 12 | 6 | 1 | 0 | ||||
Tumor number/mouse: the count of tumor node in each mouse; Diameter (mm): the size of the largest tumor node in each mouse. Tumor number (≥3 mm)/mouse: the count of tumor node which is larger than 3 mm in each mouse.