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2016 ; 9
(ä): 2975-86
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Integrated miRNA-risk gene-pathway pair network analysis provides prognostic
biomarkers for gastric cancer
#MMPMID27284247
Cai H
; Xu J
; Han Y
; Lu Z
; Han T
; Ding Y
; Ma L
Onco Targets Ther
2016[]; 9
(ä): 2975-86
PMID27284247
show ga
PURPOSE: 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. CONCLUSION: CALM2, hsa-miR-19b,
and hsa-miR-181b might be used as potential prognostic targets for gastric
cancer.