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BMC Cancer

, 8:261

First Online: 16 September 2008Received: 07 April 2008Accepted: 16 September 2008DOI: 10.1186-1471-2407-8-261

Cite this article as: Liu, J., Li, X., Dong, GL. et al. BMC Cancer 2008 8: 261. doi:10.1186-1471-2407-8-261

Abstract

BackgroundThe S100 protein family comprises 22 members whose protein sequences encompass at least one EF-hand Ca binding motif. They were involved in the regulation of a number of cellular processes such as cell cycle progression and differentiation. However, the expression status of S100 family members in gastric cancer was not known yet.

MethodsCombined with analysis of series analysis of gene expression, virtual Northern blot and microarray data, the expression levels of S100 family members in normal and malignant stomach tissues were systematically investigated. The expression of S100A3 was further evaluated by quantitative RT-PCR.

ResultsAt least 5 S100 genes were found to be upregulated in gastric cance by in silico analysis. Among them, four genes, including S100A2, S100A4, S100A7 and S100A10, were reported to overexpressed in gastric cancer previously. The expression of S100A3 in eighty patients of gastric cancer was further examined. The results showed that the mean expression levels of S100A3 in gastric cancer tissues were 2.5 times as high as in adjacent non-tumorous tissues. S100A3 expression was correlated with tumor differentiation and TNM Tumor-Node-Metastasis stage of gastric cancer, which was relatively highly expressed in poorly differentiated and advanced gastric cancer tissues P < 0.05.

ConclusionTo our knowledge this is the first report of systematic evaluation of S100 gene expressions in gastric cancers by multiple in silico analysis. The results indicated that overexpression of S100 gene family members were characteristics of gastric cancers and S100A3 might play important roles in differentiation and progression of gastric cancer.

AbbreviationsSAGESerial Analysis of Gene Expression

ESTExpressed Sequence Tag

CGAPCancer Genome Anatomy Project

GEOGene Expression Omnibus

RT-PCRReverse Transcription Polymerase Chain Reaction.

Ji Liu, Xue Li, Guang-Long Dong contributed equally to this work.

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Autor: Ji Liu - Xue Li - Guang-Long Dong - Hong-Wei Zhang - Dong-Li Chen - Jian-Jun Du - Jian-Yong Zheng - Ji-Peng Li - Wei-Zhong

Fuente: https://link.springer.com/







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