| Registro completo |
| Provedor de dados: |
Genet. Mol. Biol.
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| País: |
Brazil
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| Título: |
Combination of meta-analysis and graph clustering to identify prognostic markers of ESCC
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| Autores: |
Gao,Hongyun
Wang,Lishan
Cui,Shitao
Wang,Mingsong
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| Data: |
2012-01-01
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| Ano: |
2012
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| Palavras-chave: |
Esophageal squamous cell carcinoma
Meta-analysis
Graph clustering
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| Resumo: |
Esophageal squamous cell carcinoma (ESCC) is one of the most malignant gastrointestinal cancers and occurs at a high frequency rate in China and other Asian countries. Recently, several molecular markers were identified for predicting ESCC. Notwithstanding, additional prognostic markers, with a clear understanding of their underlying roles, are still required. Through bioinformatics, a graph-clustering method by DPClus was used to detect co-expressed modules. The aim was to identify a set of discriminating genes that could be used for predicting ESCC through graph-clustering and GO-term analysis. The results showed that CXCL12, CYP2C9, TGM3, MAL, S100A9, EMP-1 and SPRR3 were highly associated with ESCC development. In our study, all their predicted roles were in line with previous reports, whereby the assumption that a combination of meta-analysis, graph-clustering and GO-term analysis is effective for both identifying differentially expressed genes, and reflecting on their functions in ESCC.
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| Tipo: |
Info:eu-repo/semantics/article
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| Idioma: |
Inglês
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| Identificador: |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1415-47572012000300021
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| Editor: |
Sociedade Brasileira de Genética
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| Relação: |
10.1590/S1415-47572012000300021
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| Formato: |
text/html
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| Fonte: |
Genetics and Molecular Biology v.35 n.2 2012
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| Direitos: |
info:eu-repo/semantics/openAccess
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