RESUMO
Herein, miRNA candidates relevant to mycosis fungoides were investigated to provide data on the molecular mechanisms underlying the pathogenesis of the disease. The miRNA expression profile of skin biopsies from patients with tumor stage MF (tMF) and normal donors was compared using miRNA microarrays. Overall, 154 miRNAs were found differentially expressed between tMF and the control cohort with the majority of them being up-regulated (57 %). Among the upregulated miRNAs, miR-3177, miR-514b-3p, miR-1267, and miR-1282 were exclusively detected in 70 % of tMF. Additional upregulated miRNAs included miR-34a, miR-29a, let-7a*, and miR-210, while miR-200c* was identified among the downregulated ones. Quantitative real-time polymerase chain reaction was used to further investigate the expression profiles of miR-34a and miR-29a and validated the overexpression of miR-34a. Enrichment studies revealed that the target genes of the differentially expressed miRNAs were important in several cancer-related signaling pathways. The overlapping relationship of the target genes among tMF, Sezary syndrome, and atopic dermatitis revealed several common and disease-specific genes. Collectively, our study modulated miR-34a as a candidate oncogenic molecule and miR-29a as a putative tumor suppressor highlighting their promising potential in the molecular pathogenesis of tMF.
Assuntos
Biomarcadores Tumorais/genética , Regulação Neoplásica da Expressão Gênica , MicroRNAs/genética , Micose Fungoide/genética , Neoplasias Cutâneas/genética , Estudos de Casos e Controles , Análise por Conglomerados , Estudos de Coortes , Feminino , Seguimentos , Perfilação da Expressão Gênica , Humanos , Masculino , Micose Fungoide/patologia , Gradação de Tumores , Estadiamento de Neoplasias , Prognóstico , Reação em Cadeia da Polimerase Via Transcriptase Reversa , Neoplasias Cutâneas/patologiaRESUMO
Idiopathic Pulmonary Fibrosis (IPF) is a rare disease of the respiratory system in which the lungs stiffen and get scarred, resulting in breathing weakness and eventually leading to death. Drug repurposing is a process that provides evidence for existing drugs that may also be effective in different diseases. In this study, we present a computational pipeline having as input a number of gene expression datasets from early and advanced stages of IPF and as output lists of repurposed drugs ranked with a novel composite score. We have devised and used a scoring formula in order to rank the repurposed drugs, consolidating the standard repurposing score with structural, functional and side effects' scores for each drug per stage of IPF. The whole pipeline involves the selection of proper gene expression datasets, data preprocessing and statistical analysis, selection of the most important genes related to the disease, analysis of biological pathways, investigation of related molecular mechanisms, identification of fibrosis-related microRNAs, drug repurposing, structural and literature-based analysis of the repurposed drugs.