Literature-mining and bioinformatic analysis of androgen-independent prostate cancer-specific genes / 中华男科学杂志
National Journal of Andrology
; (12): 1102-1107, 2009.
Artigo
em Chinês
| WPRIM (Pacífico Ocidental)
| ID: wpr-252857
Biblioteca responsável:
WPRO
ABSTRACT
<p><b>OBJECTIVE</b>To compare the differences of the gene expressions in androgen-independent and androgen-dependent prostate cancer (ADPC), gain a deeper insight into the molecular mechanism of androgen-independent prostate cancer (AIPC), and find effective means for its clinical diagnosis and treatment.</p><p><b>METHODS</b>Eats of genes highly-associated with prostate cancer were obtained by mining PubMed with the FACTA tool, and the specifically expressed genes in AIPC were analyzed with a set of bioinformatic tools including GATHER, PANTHER, STRING and ToppGene.</p><p><b>RESULTS</b>A total of 128 genes specifically expressed in AIPC were identified, as compared with 23 that were specific to ADPC. Bioinformatic analysis showed the essential roles of AIPC-specific genes in such important biological processes as cell signal transduction, cell adhesion, apoptosis, oncogenesis, cell proliferation and cell differentiation.</p><p><b>CONCLUSION</b>Such genes as MMPJ, EGFR, MMP2, ADM, MIF, IGFBP3, 112, MET, BAD, RHOA, SPP1, EP300, SMAD3, RAE1, PTK2, and TGFB2 may play important roles in transforming ADPC into AIPC.</p>
Texto completo:
Disponível
Base de dados:
WPRIM (Pacífico Ocidental)
Assunto principal:
Neoplasias da Próstata
/
Expressão Gênica
/
Regulação Neoplásica da Expressão Gênica
/
Biologia Computacional
/
Genes Neoplásicos
/
Redes Reguladoras de Genes
/
Mineração de Dados
/
Genética
/
Antagonistas de Androgênios
/
Androgênios
Limite:
Humanos
/
Masculino
Idioma:
Chinês
Revista:
National Journal of Andrology
Ano de publicação:
2009
Tipo de documento:
Artigo