| Title |
Fusobacterium nucleatum as a prognostic marker of colorectal cancer in a Japanese population
|
|---|---|
| Published in |
Journal of Gastroenterology, August 2017
|
| DOI | 10.1007/s00535-017-1382-6 |
| Pubmed ID | |
| Authors |
Yuko Yamaoka, Yutaka Suehiro, Shinichi Hashimoto, Tomomi Hoshida, Michiyo Fujimoto, Michiya Watanabe, Daiki Imanaga, Kouhei Sakai, Toshihiko Matsumoto, Mitsuaki Nishioka, Taro Takami, Nobuaki Suzuki, Shoichi Hazama, Hiroaki Nagano, Isao Sakaida, Takahiro Yamasaki |
| Abstract |
Accumulating evidence shows an overabundance of Fusobacterium nucleatum in colorectal tumor tissues. However, the correlation between the absolute copy number of F. nucleatum in colorectal cancer tissues and colorectal cancer progression is unclear from previous reports. Therefore, we performed a study to compare the abundance of F. nucleatum in colorectal tissues with clinicopathologic and molecular features of colorectal cancer. We collected 100 colorectal cancer tissues and 72 matched normal-appearing mucosal tissues. Absolute copy numbers of F. nucleatum were measured by droplet digital PCR. The detection rates of F. nucleatum were 63.9% (46/72) in normal-appearing mucosal tissues and 75.0% (75/100) in CRC tissue samples. The median copy number of F. nucleatum was 0.4/ng DNA in the normal-appearing colorectal mucosa in patients with colorectal cancer and 1.9/ng DNA in the colorectal cancer tissues (P = 0.0031). F. nucleatum copy numbers in stage IV colorectal cancer tissues were significantly higher than those in the normal-appearing mucosa in patients with colorectal cancer (P = 0.0016). The abundance of F. nucleatum in colorectal cancer tissues correlated with tumor size and KRAS mutation and was significantly associated with shorter overall survival times; this trend was notable in the patients with stage IV colorectal cancer. Focusing on normal-appearing mucosa in the patients with colorectal cancer, the F. nucleatum copy number was significantly higher in the patients with stage IV rather than stages I-III. These results suggest that determining F. nucleatum levels may help predict clinical outcomes in colorectal cancer patients. Further confirmatory studies using independent datasets are required to confirm our findings. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 88 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 17% |
| Student > Ph. D. Student | 13 | 15% |
| Student > Doctoral Student | 7 | 8% |
| Student > Bachelor | 7 | 8% |
| Student > Master | 5 | 6% |
| Other | 15 | 17% |
| Unknown | 26 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 27% |
| Biochemistry, Genetics and Molecular Biology | 12 | 14% |
| Immunology and Microbiology | 8 | 9% |
| Agricultural and Biological Sciences | 4 | 5% |
| Unspecified | 3 | 3% |
| Other | 6 | 7% |
| Unknown | 31 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 August 2017.
All research outputs
#18,569,430
of 22,999,744 outputs
Outputs from Journal of Gastroenterology
#856
of 1,101 outputs
Outputs of similar age
#244,734
of 319,206 outputs
Outputs of similar age from Journal of Gastroenterology
#13
of 18 outputs
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