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A blood-based gene expression and signaling pathway analysis to differentiate between high and low grade gliomas
- Source :
- Oncology Reports
- Publication Year :
- 2016
-
Abstract
- The aims of the present study were to undertake gene expression profiling of the blood of glioma patients to determine key genetic components of signaling pathways and to develop a panel of genes that could be used as a potential blood-based biomarker to differentiate between high and low grade gliomas, non-gliomas and control samples. In this study, blood samples were obtained from glioma patients, non-glioma and control subjects. Ten samples each were obtained from patients with high and low grade tumours, respectively, ten samples from non-glioma patients and twenty samples from control subjects. Total RNA was isolated from each sample after which first and second strand synthesis was performed. The resulting cRNA was then hybridized with the Agilent Whole Human Genome (4x44K) microarray chip according to the manufacturer's instructions. Universal Human Reference RNA and samples were labeled with Cy3 CTP and Cy5 CTP, respectively. Microarray data were analyzed by the Agilent Gene Spring 12.1V software using stringent criteria which included at least a 2-fold difference in gene expression between samples. Statistical analysis was performed using the unpaired Student's t-test with a p
- Subjects :
- 0301 basic medicine
Adult
Male
signaling pathway
Cancer Research
Microarray
Biology
Polymerase Chain Reaction
Transcriptome
03 medical and health sciences
0302 clinical medicine
blood
Gene expression
Humans
Digital polymerase chain reaction
Gene
Aged
Oligonucleotide Array Sequence Analysis
Regulation of gene expression
Principal Component Analysis
Microarray analysis techniques
Brain Neoplasms
Gene Expression Profiling
Reproducibility of Results
General Medicine
Glioma
Articles
Middle Aged
Molecular biology
Gene expression profiling
Gene Expression Regulation, Neoplastic
030104 developmental biology
Oncology
gene expression
biomarker
Female
030217 neurology & neurosurgery
Signal Transduction
Subjects
Details
- ISSN :
- 17912431
- Volume :
- 37
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Oncology reports
- Accession number :
- edsair.doi.dedup.....a54067587a1df0eea7a6c188a8c0c7e8