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Clinical significance and biological roles of cyclins in gastric cancer

Authors Zhang HP, Li SY, Wang JP, Lin J

Received 20 April 2018

Accepted for publication 11 June 2018

Published 9 October 2018 Volume 2018:11 Pages 6673—6685

DOI https://doi.org/10.2147/OTT.S171716

Checked for plagiarism Yes

Review by Single-blind

Peer reviewers approved by Dr Andrew Yee

Peer reviewer comments 2

Editor who approved publication: Dr Federico Perche


Hai-Ping Zhang,1 Shu-Yu Li,2 Jian-Ping Wang,1 Jun Lin1

1Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan City, Hubei Province 430071, China; 2Department of Gastroenterology, Zhongshan Hospital of Hubei Province, Wuhan City, Hubei Province 430071, China

Background and aim: Cyclins have been reported to be overexpressed with poor prognosis in several human cancers. However, limited numbers of studies evaluated the expressions and prognostic roles of cyclins in gastric cancer (GC). We aim to evaluate the expressions and prognostic roles of cyclins. Also, further efforts were made to explore biological function of the differentially expressed cyclins.
Methods: Cyclins expressions were analyzed by Oncomine and The Cancer Genome Atlas datasets, and the prognostic roles of cyclins in GC patients were investigated by the Kaplan–Meier Plotter database. Then, a comprehensive PubMed literature search was performed to identify expression and prognosis of cyclins in GC. Biological functions of the differentially expressed cyclins were explored through Enrich R platform, and KEGG and transcription factor were analyzed.
Results: The expression levels of CCNA2 (cyclin A2), CCNB1 (cyclin B1), CCNB2 (cyclin B2), and CCNE1 (cyclin E1) mRNAs were identified to be significantly higher in GC tissues than in normal tissues in both Oncomine and The Cancer Genome Atlas datasets. High expressions of CCNA2, CCNB1, and CCNB2 mRNAs were identified to be related with poor overall survival in Kaplan–Meier Plotter dataset. Evidence from clinical studies showed that CCNB1 was related with overall survival in GC patients. Cyclins were associated with several biological pathways, including cell cycle, p53 signaling pathway, FoxO signaling pathway, viral carcinogenesis, and AMPK signaling pathway. Enrichment analysis also showed that cyclins interacted with some certain transcription factors, such as FOXM1, SIN3A, NFYA, and E2F4.
Conclusion: Based on our results, high expressions of cyclins were related with poor prognosis in GC patients. The above information might be useful for better understanding the clinical and biological roles of cyclins mRNA and guiding individualized treatments for GC patients.

Keywords: gastric cancer, cyclins, expression, prognosis, biological function

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