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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Changlin Fu Zhou Tan Rui Liu Shiying Hao Zhen Li Pei Chen Taichang Jang Merchant, M. Whitin, J.C. Wang, O. Minyi Guo Cohen, H.J. Recht, L. Ling, X.B. |
| Copyright Year | 2014 |
| Description | Author affiliation: Stanford Univ., Stanford, CA, USA (Zhou Tan; Rui Liu; Shiying Hao; Zhen Li; Pei Chen; Taichang Jang; Merchant, M.; Whitin, J.C.; Wang, O.; Cohen, H.J.; Recht, L.; Ling, X.B.) || Shanghai Jiao Tong Univ., Shanghai, China (Changlin Fu; Minyi Guo) |
| Abstract | To get a better understanding of the ongoing in situ environmental changes preceding the brain tumorigenesis, we assessed cerebrospinal fluid (CSF) proteome profile changes in a glioma rat model in which brain tumor invariably develop after a single in utero exposure to the neurocarcinogen ethylnitrosourea (ENU). Computationally, the CSF proteome profile dynamics during the tumorigenesis can be modeled as non-smooth or even abrupt state changes. Such brain tumor environment transition analysis, correlating the CSF composition changes with the development of early cellular hyperplasia, can reveal the pathogenesis process at network level during a time before the image detection of the tumors. In this controlled rat model study, matched ENU and salineexposed rats' CSF proteomics changes were quantified at approximately 30, 60, 90, 120, 150 days of age (P30, P60, P90, P120, P150). We applied our transition-based network entropy (TNE) method to compute the CSF proteome changes in the ENU rat model and test the hypothesis of the critical transition state prior to impending hyperplasia. Our analysis identified a dynamic driver network (DDN) of CSF proteins related with the emerging tumorigenesis progressing from the non-hyperplasia state. The DDN associated leading network CSF proteins can allow the early detection of such dynamics before the catastrophic shift to the clear clinical landmarks in gliomas. An improved understanding of the critical transition state (P60) during the brain tumor progression can provide the scientific groundwork to device novel therapeutics preventing tumor formation. |
| Starting Page | 168 |
| Ending Page | 175 |
| File Size | 1106517 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781479956692 |
| DOI | 10.1109/BIBM.2014.6999147 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-11-02 |
| Publisher Place | UK |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | tumorigenesis progressing network entropy Proteomics Markov processes Bifurcation Brain modeling Entropy Eigenvalues and eigenfunctions dynamical driver biomarker (DDN) transition state critical transition Tumors |
| Content Type | Text |
| Resource Type | Article |
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