title: Identification of recurrence-related genes by integrating microRNA and             gene expression profiling of gastric cancer.
abstract: We previously analyzed the microRNA (miRNA) expression pattern in gastric             cancer with and without recurrence and obtained 17 differentially expressed miRNAs             with potential to predict recurrence risk for GC patients. In the present study,             we aimed to investigate recurrence-related genes which may be regulated by the             differentially expressed miRNAs identified in our prior research. Three different             miRNA target gene databases (miRanda, TargetScan and PicTar) were used for searching             the potential genes regulated by miRNAs. A combination was performed between miRNA             target genes and recurrence-related gene expression profiling. Three bioinformatics             algorithms (PAM, SVM and RF) were used to feature recurrence-related gene selection.             In addition, we validated the expression levels of the genes in GC patients using             real-time PCR. A total of 3,263 genes were identified as potential targets of             17 miRNAs. We identified 2,736 differential expressed genes using the SAM method             based on 22K oligo microarray data which included 7 recurrence and 4 without recurrence             GC samples. Combining the target genes regulated by miRNAs and the differentially             expressed genes between recurrence and non-recurrence groups, we identified 228             differential genes for further study. Finally, we identified HNRPA0 and PRDM4             as risk biomarkers of GC patients, which were regulated by hsa-miR‑194 and hsa-miR-373,             respectively. Our data indicated that HNRPA0 and PRDM4 may be involved in the             recurrence process of GC and have potential to act as new prognostic biomarkers             in predicting recurrence risk for gastric cancer patients.
authors.affiliation: Department of Digestive Diseases, Wuhan General Hospital of Guangzhou Command, Wuchang, Wuhan 430070, PR China.
authors.forename: Zhi
authors.initials: Z
authors.lastname: Yan
authors.forename: Yimin
authors.initials: Y
authors.lastname: Xiong
authors.forename: Weitian
authors.initials: W
authors.lastname: Xu
authors.forename: Min
authors.initials: M
authors.lastname: Li
authors.forename: Yi
authors.initials: Y
authors.lastname: Cheng
authors.forename: Fang
authors.initials: F
authors.lastname: Chen
authors.forename: Shifang
authors.initials: S
authors.lastname: Ding
authors.forename: Hualin
authors.initials: H
authors.lastname: Xu
authors.forename: Guorong
authors.initials: G
authors.lastname: Zheng
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D016000:Cluster Analysis; D005260:Female; D020869:Gene Expression Profiling; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D008297:Male; D035683:MicroRNAs / Q000235:genetics*; D008875:Middle Aged; D009367:Neoplasm Staging; D012372:ROC Curve; D012008:Recurrence; D015203:Reproducibility of Results; D013274:Stomach Neoplasms / Q000235:genetics*
chemical_list: D035683:MicroRNAs