A unique four-hub protein cluster associates to glioblastoma progression

• Published in: PloS one Vol. 9; no. 7; p. e103030
• Main Authors: Simeone, Pasquale, Trerotola, Marco, Urbanella, Andrea, Lattanzio, Rossano, Ciavardelli, Domenico, Di Giuseppe, Fabrizio, Eleuterio, Enrica, Sulpizio, Marilisa, Eusebi, Vincenzo, Pession, Annalisa, Piantelli, Mauro, Alberti, Saverio
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 22.07.2014; Public Library of Science (PLoS)
• Subjects: Aging; Biology and Life Sciences; Biomarkers, Tumor - analysis; Biomarkers, Tumor - metabolism; Brain; Brain - metabolism; Brain - pathology; Brain cancer; Brain Neoplasms - metabolism; Brain Neoplasms - pathology; Brain research; Brain tumors; c-Myc protein; Cell cycle; Classification; Cluster Analysis; Clustering; Crosstalk; Diagnostic systems; Discriminant analysis; Electrophoresis, Gel, Two-Dimensional; Epidermal growth factor receptors; Evaluation; Gene expression; Glioblastoma; Glioblastomas; Glioma; Glioma - metabolism; Glioma - pathology; Heterogeneity; Histopathology; Humans; Huntingtin; Identification; Immunohistochemistry; Mass Spectrometry; Mass spectroscopy; Medical treatment; Medicine; Medicine and Health Sciences; Multivariate Analysis; Mutation; Myc protein; Nervous system; Network hubs; p53 Protein; Pathogenesis; Pathology; Principal components analysis; Protein Interaction Maps; Proteins; Proteome - analysis; Proteome - metabolism; Proteomics; Proteomics - methods; Science; Signal Transduction; Signaling; Tumor proteins; Tumors; Two dimensional analysis; Western blotting; United States > US; Italy

Gliomas are the most frequent brain tumors. Among them, glioblastomas are malignant and largely resistant to available treatments. Histopathology is the gold standard for classification and grading of brain tumors. However, brain tumor heterogeneity is remarkable and histopathology procedures for gl...