ArticleOncoTargets and therapy2016
Integrated miRNA-risk gene-pathway pair network analysis provides prognostic biomarkers for gastric cancer.
Article in OncoTargets and therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.
- miR-19 Is a Potential Clinical Biomarker for Gastrointestinal Malignancy: A Systematic Review and Meta-analysis.BioMed research international · 2020Pooled it
- Calmodulin 2 Facilitates Angiogenesis and Metastasis of Gastric CancerFrontiers in oncology · 2021Article
- Identification of prognostic biomarkers for malignant melanoma using microarray datasets.Oncology letters · 2019Article
- MicroRNA-598 inhibits the growth and maintenance of gastric cancer stem-like cells by down-regulating RRS1.Cell cycle (Georgetown, Tex.) · 2019Article
- lncRNA ATXN8OS promotes breast cancer by sequestering miR‑204.Molecular medicine reports · 2019Article
- Integrative analysis of promising molecular biomarkers and pathways for coronary artery disease using WGCNA and MetaDE methods.Molecular medicine reports · 2018Article
- Omics Approaches to Identify Potential Biomarkers of Inflammatory Diseases in the Focal Adhesion Complex.Genomics, proteomics & bioinformatics · 2017Review
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study aimed to identify molecular prognostic biomarkers for gastric cancer.
methodsmRNA 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.
resultsTotally, 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.
conclusionCALM2, hsa-miR-19b, and hsa-miR-181b might be used as potential prognostic targets for gastric cancer.
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