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Cancer Biomark. 2013;13(5):367-75. doi: 10.3233/CBM-130367.

Identification of novel human glioblastoma-specific transcripts by serial analysis of gene expression data mining.

Author information

  • 1Department of Internal Medicine, College of Medicine, Hunan Normal University, Changsha, Hunan, China.
  • 2Institute of Modern Physics of Chinese Academy of Sciences, Lanzhou, Gansu, China.
  • 3Department of Statistics and Epidemiology, Public Health School, Central South University, Changsha, Hunan, China.

Abstract

BACKGROUND:

Glioblastoma multiforme (GBM) remains the most common and aggressive primary brain tumor in adults with a poor median survival, and molecular biomarkers for GBM pathogenesis are in need.

PURPOSE:

The objective of this study is to identify potential novel genes for GBM pathogenesis by gene expression data mining.

MATERIALS AND METHODS:

Available SAGE libraries of GBM, astrocytoma, and normal brain tissues were collected from the Cancer Genome Anatomy Project (CGAP). Significance analysis for microarray (SAM) and CGAP-SAGE-Genie-DGED were used to identify differentially expressed tags, and specific tags that were differentially expressed only in GBM were further selected. Tags to genes association was performed by CGAP-SAGE-Genie-SAV. Immunohistochemistry was used to investigate distribution and validate expression of the interested gene.

RESULTS:

Three genes were significantly differentially expressed just in brain. up-regulated expression of STAB1 and down-regulated expression of SH3GL2 and DNM3. Immunohistochemistry assay indicated that STAB1 mainly expressed in vascular endothelial cells and over-expressed in GBM samples compared to normal samples.

CONCLUSIONS:

Our study shows that data mining of public sources of gene expression is an effective way to identify novel tumor-associated genes, and this work may contribute to the identification of candidate genes for GBM angiogenesis.

KEYWORDS:

GBM; SAGE; STAB1; angiogenesis; astrocytoma; specific gene

PMID:
24440977
DOI:
10.3233/CBM-130367
[PubMed - indexed for MEDLINE]
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