Published online Mar 21, 2018. doi: 10.3748/wjg.v24.i11.1206
Peer-review started: December 10, 2017
First decision: December 21, 2017
Revised: December 25, 2017
Accepted: January 16, 2018
Article in press: January 16, 2018
Published online: March 21, 2018
Processing time: 97 Days and 2 Hours
Increasing studies have reported that microRNAs (miRNAs) play an important role in the development and progression of cancers, including gastric cancer (GC). Furthermore, miRNAs can also act as accurate biomarkers in diagnosis and prognosis prediction. In this study, we found that a three-miRNA signature could be used for predicting the prognosis of GC patients and multiple miRNAs together acting as biomarkers may have a stronger reliability in survival prediction.
The worldwide incidence and mortality rates of GC are fairly high. Most of GC patients have been in the advanced stage when diagnosed and endure a poor prognosis. Identifying accurate biomarkers in predicting prognosis of patients is an urgent issue to be solved, so that patients could have an individualized treatment and an improvement in prognosis.
We aimed to identify multiple miRNAs for predicting the prognosis of patients with gastric cancer. In the present study, we found that a three-miRNA (miR-145-3p, miR-125b-5p, and miR-99a-5p) signature could be used for predicting the prognosis of patients with gastric cancer. This objective could be applied to clinical practice and have a guidance role in improving the prognosis of patients with gastric cancer.
We obtained the differentially expressed miRNAs by analyzing a microarray dataset from the Gene Expression Omnibus database with the limma package in R. The Kaplan-Meier method and log-rank test were used for describing the survival curve. The target genes of the three miRNAs (miR-145-3p, miR-125b-5p, and miR-99a-5p) were predicted with the online tools of TargetScan, miRDB, miRWalk, and DIANA. Venn plot was performed to obtain the common target genes from these four online tools. Enrichment analysis was conducted on the consensus genes using the FunRich tool.
In the present study, we found that a three-miRNA (miR-145-3p, miR-125b-5p, and miR-99a-5p) signature could be used for predicting the prognosis of patients with gastric cancer. Multiple miRNAs together acting as prognosis-related biomarkers may have a stronger reliability and this finding could be useful in clinical treatment according to gastric cancer patients with different prognoses. However, the role of miR-145-3p in the tumorigenesis and progression of gastric cancer remains unclear. Thus, this problem remains to be solved in our future study.
Our study identified that the three miRNAs (miR-145-3p, miR-125b-5p, and miR-99a-5p) were up-regulated in gastric cancer patients by analyzing a microarray dataset. Besides, the novel three-miRNA signature could be used for predicting the prognosis of patients with gastric cancer. Multiple miRNAs together acting as prognosis-related biomarkers may have a stronger reliability, so that our finding could be useful in clinical treatment according to gastric cancer patients with different prognoses.
This study provides us with a new insight that multiple miRNAs can be together used for predicting the prognosis of patients with gastric cancer. In order to further confirm the prognostic value of the three-miRNA signature, our future research may focus on exploring the relation between miR-145-3p and gastric cancer.