Proteomic Studies of Pediatric Medulloblastoma Tumors with 17p Deletion

被引:17
作者
Anagnostopoulos, Athanasios K. [1 ,2 ]
Papathanassiou, Chrissa [2 ]
Karamolegou, Kalliopi [2 ]
Anastasiadou, Ema [3 ,4 ]
Dimas, Konstantinos S. [5 ]
Kontos, Harry [6 ]
Koutsopoulos, Anastasios [7 ]
Prodromou, Neofytos [8 ]
Tzortzatou-Stathopoulou, Fotini [2 ]
Tsangaris, George Th [1 ]
机构
[1] Acad Athens, Biomed Res Fdn, Ctr Basic Res 2, Prote Res Unit, Athens 11527, Greece
[2] Univ Athens, Aghia Sophia Childrens Hosp, Dept Pediat 1, Hematol Oncol Unit, Athens 11527, Greece
[3] Acad Athens, Biomed Res Fdn, Dept Genet, Athens 11527, Greece
[4] Acad Athens, Biomed Res Fdn, Gene Therapy Unit, Athens 11527, Greece
[5] Univ Thessaly, Sch Med, Div Pharmacol, Larisa 41221, Greece
[6] Genomed Mol Diagnost Lab, Piraeus 18537, Greece
[7] Democritus Univ Thrace, Sch Med, Univ Hosp Alexandroupolis, Dept Pathol, Thrace 68100, Greece
[8] Aghia Sophia Childrens Hosp, Dept Neurosurg, Athens 11527, Greece
关键词
protemics; pediatirc brain tumaros; medulloblastoma; 17p deletion; surgical specimen; PRIMITIVE NEUROECTODERMAL TUMORS; GROWTH-FACTOR; HUMAN GLIOMA; SPARC; BRAIN; CHILDHOOD; PATHWAY; PROTEIN; ABNORMALITIES; MTOR;
D O I
10.1021/pr501219f
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
CNS tumors are the leading cause of cancer-related death in children. Medulloblastoma is the commonest pediatric CNS malignancy, wherein, despite multimodal therapy with surgery, radiation, and chemotherapy, 5 year survival rates merely approach 60%. Until present, gene expression and cytogenetic studies have produced contradicting findings regarding the molecular background of the specific disease. Through integration of genomics, bioinformatics, and proteomics, the current study aims to shed light at the proteomic-related molecular events responsible for MBL pathophysiology, as well as to provide molecular/protein/pathway answers concerning tumor-onset. Experiments were performed on tissues collected at surgery. With 17p loss being the commonest chromosomal aberrance observed in our sample set, array-CGH were employed to first distinguish for 17p-positive cases. 2-DE coupled to mass spectrometry identification exposed the MBL-specific protein profile. Protein profiles of malignant tissues were compared against profiles of normal cerebellar tissues, and quantitative protein differences were determined. Bioinformatics, functional and database analyses, characterization, and subnetwork profiling generated information on MBL protein interactions. Key molecules of the PI3K/mTOR signaling network were identified via the techniques applied herein. Among the findings IGF2, PI3K, Rictor, MAPKAP1, S6K1, 4EBP1, and ELF4A, as part of the IGF network (implicating PI3K/mTOR), were founded to be deregulated.
引用
收藏
页码:1076 / 1088
页数:13
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