title: Identification of miRNAs Expression Profile in Gastric Cancer Using Self-Organizing Maps (SOM).
abstract: In this paper, an unsupervised artificial neural network was implemented to identify the patters of specific signatures. The network was based on the differential expression of miRNAs (under or over expression) found in healthy or cancerous gastric tissues. Among the tissues analyzes, the neural network evaluated 514 miRNAs of gastric tissue that exhibited significant differential expression. The result suggested a specific expression signature nine miRNAs (hsa-mir-21, hsa-mir-29a, hsa-mir-29c, hsa-mir-148a, hsa-mir-141, hsa-let-7b, hsa-mir-31, hsa-mir-451, and hsa-mir-192), all with significant values (p-value < 0.01 and fold change > 5) that clustered the samples into two groups: healthy tissue and gastric cancer tissue. The results obtained "in silico" must be validated in a molecular biology laboratory; if confirmed, this method may be used in the future as a risk marker for gastric cancer development.
authors: Laboratório de Genética Humana e Médica, Universidade Federal do Pará, Belém, Pará, Brasil ; Instituto de Estudos Superiores da Amazônia, Belém, Pará, Brasil.
authors: Larissa Luz
authors: LL
authors: Gomes
authors: Laboratório de Genética Humana e Médica, Universidade Federal do Pará, Belém, Pará, Brasil ; Centro Universitário do Estado do Pará, Belém, Pará, Brasil.
authors: Fabiano Cordeiro
authors: FC
authors: Moreira
authors: Laboratório de Genética Humana e Médica, Universidade Federal do Pará, Belém, Pará, Brasil ; Universidade Federal Rural da Amazônia, Campus de Capanema, Pará, Brasil.
authors: Igor Guerreiro
authors: IG
authors: Hamoy
authors: Laboratório de Genética Humana e Médica, Universidade Federal do Pará, Belém, Pará, Brasil ; Núcleo de Pesquisa em Oncologia, Universidade Federal do Pará, Belém, Pará, Brasil.
authors: Sidney
authors: S
authors: Santos
authors: Núcleo de Pesquisa em Oncologia, Universidade Federal do Pará, Belém, Pará, Brasil ; Hospital Universitário João de Barros Barreto, Universidade Federal do Pará, Belém, PA, Brazil.
authors: Paulo
authors: P
authors: Assumpção
authors: Laboratory of High Performance Networks Planning, Federal University of Pará, Belém, Pará, Brazil.
authors: Adamo L
authors: AL
authors: Santana
authors: Laboratório de Genética Humana e Médica, Universidade Federal do Pará, Belém, Pará, Brasil ; Núcleo de Pesquisa em Oncologia, Universidade Federal do Pará, Belém, Pará, Brasil.
authors: Andrea
authors: A
authors: Ribeiro-Dos-Santos
keywords: Artificial Neural Network; Bioinformatics; Gastric Cancer; Risk Biomarker; miRNA