Integrated miRNA-risk gene-pathway pair network analysis provides prognostic biomarkers for gastric cancer.
OBJECTIVE
This study aimed to identify molecular prognostic biomarkers for gastric cancer.


METHODS
mRNA and miRNA expression profiles of eligible gastric cancer and control samples were downloaded from Gene Expression Omnibus to screen the differentially expressed genes (DEGs) and differentially expressed miRNAs (DEmiRs), using MetaDE and limma packages, respectively. Target genes of the DEmiRs were also collected from both predictive and experimentally validated target databases of miRNAs. The overlapping genes between selected targets and DEGs were identified as risk genes, followed by functional enrichment analysis. Human pathways and their corresponding genes were downloaded from the Kyoto Encyclopedia of Genes and Genomes (KEGG) database for the expression analysis of each pathway in gastric cancer samples. Next, co-pathway pairs were selected according to the Pearson correlation coefficients. Finally, the co-pathway pairs, miRNA-target pairs, and risk gene-pathway pairs were merged into a complex interaction network, the most important nodes (miRNAs/target genes/co-pathway pairs) of which were selected by calculating their degrees.


RESULTS
Totally, 1,260 DEGs and 144 DEmiRs were identified. There were 336 risk genes found in the 9,572 miRNA-target pairs. Judging from the pathway expression files, 45 co-pathway pairs were screened out. There were 1,389 interactive pairs and 480 nodes in the integrated network. Among all nodes in the network, focal adhesion/extracellular matrix-receptor interaction pathways, CALM2, miR-19b, and miR-181b were the hub nodes with higher degrees.


CONCLUSIONS
CALM2, hsa-miR-19b, and hsa-miR-181b might be used as potential prognostic targets for gastric cancer.
Department of General Surgery, Changhai Hospital, Second Military Medical University, Shanghai, People's Republic of China.
Hui
H
Cai
Department of Medical Administration, Changhai Hospital, Second Military Medical University, Shanghai, People's Republic of China.
Jiping
J
Xu
Department of Epidemiology, Research Institute for Medicine of Nanjing Command, Nanjing, People's Republic of China.
Yifang
Y
Han
Department of General Surgery, Changhai Hospital, Second Military Medical University, Shanghai, People's Republic of China.
Zhengmao
Z
Lu
Department of General Surgery, Changhai Hospital, Second Military Medical University, Shanghai, People's Republic of China.
Ting
T
Han
Department of Epidemiology, Changhai Hospital, Second Military Medical University, Shanghai, People's Republic of China.
Yibo
Y
Ding
Department of General Surgery, Changhai Hospital, Second Military Medical University, Shanghai, People's Republic of China.
Liye
L
Ma
co-pathway pairs; dysfunction; gastric cancer; integrated network; miRNA targets