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J Transl Med. 2018 Aug 2;16(1):216. doi: 10.1186/s12967-018-1582-8.

Regulatory network of circRNA-miRNA-mRNA contributes to the histological classification and disease progression in gastric cancer.

Cheng J1,2,3, Zhuo H1,2,3, Xu M1,2,3, Wang L1,2, Xu H1,2, Peng J1,2, Hou J1,2,3, Lin L1,2,3, Cai J4,5,6,7.

Author information

1
Department of Gastrointestinal Surgery, Zhongshan Hospital, Xiamen University, Xiamen, 361004, Fujian, China.
2
Institute of Gastrointestinal Oncology, Medical College of Xiamen University, Xiamen, 361004, Fujian, China.
3
Xiamen Municipal Key Laboratory of Gastrointestinal Oncology, Xiamen, 361004, Fujian, China.
4
Department of Gastrointestinal Surgery, Zhongshan Hospital, Xiamen University, Xiamen, 361004, Fujian, China. jianchunfh2@sina.com.
5
Institute of Gastrointestinal Oncology, Medical College of Xiamen University, Xiamen, 361004, Fujian, China. jianchunfh2@sina.com.
6
Xiamen Municipal Key Laboratory of Gastrointestinal Oncology, Xiamen, 361004, Fujian, China. jianchunfh2@sina.com.
7
Union Hospital, Fujian Medical University, Fuzhou, 350001, Fujian, China. jianchunfh2@sina.com.

Abstract

BACKGROUND:

Little has been known about the role of non-coding RNA regulatory network in the patterns of growth and invasiveness of gastric cancer (GC) development.

METHODS:

MicroRNAs (miRNAs) microarray was used to screen differential miRNA expression profiles in Ming's classification. The significant differential expressions of representative miRNAs and their interacting circular RNA (circRNA) were confirmed in GC cell line and 63 pairs of GC samples. Then, a circRNA/miRNA network was constructed by bioinformatics approaches to identify molecular pathways. Finally, we explored the clinical value of the common targets in the pathway by using receiver operating characteristic curve and survival analysis.

RESULTS:

Significantly differential expressed miRNAs were found in two pathological types of GC. Both of miR-124 and miR-29b were consistently down-regulated in GC. CircHIPK3 could play a negative regulatory role on miR-124/miR-29b expression and associated with T stage and Ming's classification in GC. The bioinformatics analyses showed that targets expression of circHIPK3-miR-124/miR-29b axes in cancer-related pathways was able to predict the status of GC and associated with individual survival time.

CONCLUSIONS:

The targets of circHIPK3-miR-124/miR-29b axes involved in the progression of GC. CircHIPK3 could take part in the proliferation process of GC cell and may be potential biomarker in histological classification of GC.

KEYWORDS:

Ming’s classification; ROC curve; Stomach neoplasm; circRNA; miR-124; miR-29b

PMID:
30068360
PMCID:
PMC6071397
DOI:
10.1186/s12967-018-1582-8
[Indexed for MEDLINE]
Free PMC Article

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