title: Co-expressed miRNAs in gastric adenocarcinoma.
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.
authors.affiliation: Facultad de Ciencias, Departamento de Ciencias Biológicas, Universidad de los Andes, Bogotá D.C., Colombia. Electronic address: sl.yepes233@uniandes.edu.co.
authors.forename: Sally
authors.initials: S
authors.lastname: Yepes
authors.affiliation: Facultad de Medicina, Universidad de los Andes, Bogotá D.C., Colombia; Departamento de Patología y Laboratorios, Hospital Universitario, Fundación Santa Fe de Bogotá, Bogotá D.C., Colombia.
authors.forename: Rocío
authors.initials: R
authors.lastname: López
authors.affiliation: Facultad de Medicina, Universidad de los Andes, Bogotá D.C., Colombia; Departamento de Patología y Laboratorios, Hospital Universitario, Fundación Santa Fe de Bogotá, Bogotá D.C., Colombia.
authors.forename: Rafael E
authors.initials: RE
authors.lastname: Andrade
authors.affiliation: Facultad de Medicina, Universidad de los Andes, Bogotá D.C., Colombia; Departamento de Patología y Laboratorios, Hospital Universitario, Fundación Santa Fe de Bogotá, Bogotá D.C., Colombia.
authors.forename: Paula A
authors.initials: PA
authors.lastname: Rodriguez-Urrego
authors.affiliation: Departamento de Estadística, Universidad Nacional de Colombia, Bogotá D.C., Colombia.
authors.forename: Liliana
authors.initials: L
authors.lastname: López-Kleine
authors.affiliation: Facultad de Ciencias, Departamento de Ciencias Biológicas, Universidad de los Andes, Bogotá D.C., Colombia.
authors.forename: Maria Mercedes
authors.initials: MM
authors.lastname: Torres
mesh_terms: D000230:Adenocarcinoma / Q000235:genetics* / Q000473:pathology; D014408:Biomarkers, Tumor / Q000235:genetics; D020869:Gene Expression Profiling / Q000379:methods*; D015972:Gene Expression Regulation, Neoplastic; D053263:Gene Regulatory Networks; D006801:Humans; D035683:MicroRNAs / Q000235:genetics*; D013274:Stomach Neoplasms / Q000235:genetics* / Q000473:pathology; D000069553:Supervised Machine Learning
chemical_list: D014408:Biomarkers, Tumor; D035683:MicroRNAs; C487931:mirnlet7 microRNA, human
keywords: Gastric adenocarcinoma; Node degree; WGCNA; miRNAs