ABSTRACT
INTRODUCTION: Proteomics is increasingly employed in both neurological and oncological research, and applied widely in every area of neuroscience research including brain cancer. Astrocytomas are the most common glioma and can occur in most parts of the brain and occasionally in the spinal cord. Patients with high‑grade astrocytomas have a life expectancy of <1 year even after surgery, chemotherapy, and radiotherapy. MATERIALS AND METHODS: We extracted proteins from tumors and normal brain tissues and then evaluated the protein purity by Bradford test and spectrophotometry method. In this study, we separated proteins by the two‑dimensional (2DG) gel electrophoresis method, and the spots were analyzed and compared using statistical data. RESULTS: On each analytical 2D gel, an average of 800 spots was observed. In this study, 164 spots exhibited up‑regulation of expression level, whereas the remaining 179 spots decreased in astrocytoma tumor relative to normal tissue. Results demonstrate that functional clustering and principal component analysis (PCA) has considerable merits in aiding the interpretation of proteomic data. Proteomics is a powerful tool in identifying multiple proteins that are altered following a neuropharmacological intervention in a disease of the central nervous system (CNS). CONCLUSION: 2‑D gel and cluster analysis have important roles in the diagnostic management of astrocytoma patients, providing insight into tumor biology. The application of proteomics to CNS research has invariably been very successful in yielding large amounts of data.