Abstract:
:Co-expression networks may provide insights into the patterns of molecular interactions that underlie cellular processes. To obtain a better understanding of miRNA expression patterns in gastric adenocarcinoma and to provide markers that can be associated with histopathological findings, we performed weighted gene correlation network analysis (WGCNA) and compare it with a supervised analysis. Integrative analysis of target predictions and miRNA expression profiles in gastric cancer samples was also performed. WGCNA identified a module of co-expressed miRNAs that were associated with histological traits and tumor condition. Hub genes were identified based on statistical analysis and network centrality. The miRNAs 100, let-7c, 125b and 99a stood out for their association with the diffuse histological subtype. The 181 miRNA family and miRNA 21 highlighted for their association with the tumoral phenotype. The integrated analysis of miRNA and gene expression profiles showed the let-7 miRNA family playing a central role in the regulatory relationships.
journal_name
Genomicsjournal_title
Genomicsauthors
Yepes S,López R,Andrade RE,Rodriguez-Urrego PA,López-Kleine L,Torres MMdoi
10.1016/j.ygeno.2016.07.002subject
Has Abstractpub_date
2016-08-01 00:00:00pages
93-101issue
2eissn
0888-7543issn
1089-8646pii
S0888-7543(16)30071-4journal_volume
108pub_type
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