DocumentCode
3650211
Title
Integration of imaging and systems biology to study treatment of medulloblastoma
Author
Sean S. Wang;Olga C. Rodriguez;Ye Tian;Shaozhen Ye;Emanual Petricoin;Chris Albanese
Author_Institution
A. James Clark School of Engineering, University of Maryland, College Park, MD 20742
fYear
2012
Firstpage
22
Lastpage
25
Abstract
Medulloblastoma is a highly malignant childhood brain tumor and is often characterized by alterations in cell cycle regulatory pathways and genes. Using FDA-approved arsenic trioxide (ATO) treated ND2-SmoAl mouse model, we present an integrated imaging and systems biology approach to assess tumor responses to ATO and to uncover the complexity of therapeutic molecular biology. Kaplan-Meier survival and MRI tumor growth analyses established the effectiveness of ATO treatment. Differential analysis of protein data identified biologically plausible gene markers. Differential dependence network analyses further revealed novel rewiring “hubs” of biological networks triggered by ATO at systems level. Functional analyses on statistically significant networked molecular markers confirmed ATO´s role as an effective anti-proliferative and pro-apoptotic drug, in vivo.
Publisher
ieee
Conference_Titel
Genomic Signal Processing and Statistics, (GENSIPS), 2012 IEEE International Workshop on
ISSN
2150-3001
Print_ISBN
978-1-4673-5234-5
Type
conf
DOI
10.1109/GENSIPS.2012.6507717
Filename
6507717
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