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Eur J Med Res. 2017 Nov 29;22(1):51. doi: 10.1186/s40001-017-0294-5.

Novel circulating microRNAs expression profile in colon cancer: a pilot study.

Author information

1
The First Affiliated Hospital of Soochow University, Shizi Street #188, Suzhou, 215006, Jiangsu, People's Republic of China.
2
Suzhou Municipal Hospital, Suzhou Hospital Affiliated to Nanjing Medical University, Suzhou, 215002, Jiangsu, People's Republic of China.
3
The First Affiliated Hospital of Soochow University, Shizi Street #188, Suzhou, 215006, Jiangsu, People's Republic of China. weichangchen@126.com.

Abstract

PURPOSE:

To identify the expression profile of novel microRNAs (miRNAs) in colon cancer and evaluate their clinical applicability.

METHODS:

Differences in the expression of serum miRNAs in patients with colon cancer and healthy controls were identified using miRNA microarrays. Differentially expressed miRNAs were verified via real-time polymerase chain reaction (PCR) using sera from 50 patients with colon cancer and 44 healthy controls. These miRNAs were also verified in a double-blind validation experiment using sera from 30 patients with colon cancer, 30 patients with colonic polyps, and 30 healthy controls.

RESULTS:

Microarray hybridization revealed that 87 miRNAs were differentially expressed between the sera of patients with colon cancer and healthy controls. Among these miRNAs, 39 miRNAs were up-regulated, whereas 48 miRNAs were down-regulated. Verification of the expression of these miRNAs using real-time PCR revealed that the expression levels of miR-31, miR-141, miR-224-3p, miR-576-5p, and miR-4669 were significantly different between patients with colon cancer and healthy controls. Using these five miRNAs to construct a miRNA expression profile (or miRNA panel) will facilitate more effective diagnosis of colon cancer.

CONCLUSION:

Clinical analysis of miR-31, miR-141, miR-224-3p, miR-576-5p, and miR-4669 expression in patients with colon cancer may facilitate the diagnosis of colon cancer.

KEYWORDS:

Colon cancer; Genetic diagnosis; MicroRNA-gene microarray; Molecular marker expression profile

PMID:
29187262
PMCID:
PMC5707919
DOI:
10.1186/s40001-017-0294-5
[Indexed for MEDLINE]
Free PMC Article

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