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Three meta-analyses define a set of commonly overexpressed genes from microarray datasets on astrocytomas
- Source :
- Molecular neurobiology. 47(1)
- Publication Year :
- 2012
-
Abstract
- Glioma is one of the most common tumors of the central nervous system, and one of its main types is astrocytoma. Microarray technology has been widely used to explore the molecular mechanism of cancer. It is universally accepted that meta-analysis considerably improves the statistical robustness of results, particularly in clinical research. To obtain the maximum reliability, we used three different meta-analyses to integrate the four microarray datasets, GSE16011, GSE4290, GSE2223, and GSE19728 (local), and defined the common differentially expressed genes (DEGs) in astrocytomas compared with normal brain tissue. Four DEGs, PCNA, CDC2, CDK2 and CCNB2, which are components of the cell cycle pathway, were chosen for Real-Time Polymerase Chain Reaction (RT-PCR) and immunohistochemistry validation. PCNA is similar to the P53 gene and has been widely implicated in various cancers including gliomas. Therefore, the expression status of PCNA in our study was considered as a reference to test our whole experimental scheme, and the results indicate that our methodology is valid. Although a few studies have reported the overexpression of the CDC2, CDK2 and CCNB2 genes in glioma cell lines, we are the first to identify the statuses of these genes in human astrocytoma tissues at the mRNA and protein levels. The results of the gene validations strongly suggested that the genes play an important role in astrocytomas and could potentially be valuable in the diagnosis and treatment of astrocytoma.
- Subjects :
- Adult
Microarray
Adolescent
Neuroscience (miscellaneous)
Computational biology
Biology
Astrocytoma
Bioinformatics
Cellular and Molecular Neuroscience
Glioma
Gene expression
Databases, Genetic
medicine
Humans
Gene
Oligonucleotide Array Sequence Analysis
Regulation of gene expression
Brain Neoplasms
Reverse Transcriptase Polymerase Chain Reaction
Gene Expression Profiling
Cell Cycle
Reproducibility of Results
Middle Aged
medicine.disease
Immunohistochemistry
Gene expression profiling
Gene Expression Regulation, Neoplastic
Neurology
Gene chip analysis
Genes, Neoplasm
Signal Transduction
Subjects
Details
- ISSN :
- 15591182
- Volume :
- 47
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Molecular neurobiology
- Accession number :
- edsair.doi.dedup.....b5d6ded47c492e8a5b40cf35d34b67dd