DocumentCode :
667219
Title :
Experimental model construction and validation of the ErbB signaling pathway
Author :
Kalantzaki, K. ; Koumakis, L. ; Bei, E.S. ; Zervakis, M. ; Potamias, G. ; Kafetzopoulos, Dimitris
Author_Institution :
Dept. of Electron. & Comput. Eng., TUC, Chania, Greece
fYear :
2013
fDate :
10-13 Nov. 2013
Firstpage :
1
Lastpage :
4
Abstract :
The importance of ErbB receptor signaling in breast cancer is consistent with its functional role in normal development of mammary gland. The study of the ErbB signaling network and its bidirectional cross-talk with hormonal receptors, such as estrogen receptor (ER) encloses information about the molecular mechanisms on breast cancer evolution, progression and endocrine resistance. With this analysis we attempt to examine the differences in activation/inhibition of intracellular signaling molecules within ErbB signaling cascade on ER+ and ER-breast cancer patients. With the proposed framework we model the genetic interactions in the ErbB signaling pathway directly from expression data as Gaussian approximations and compare them with the KEGG canonical ErbB pathway in order to identify significant molecular deformations characterizing the studied population. The results indicate a distinct profile of activation/inhibition between the two ER populations and highlight the primary role of PI3K/Akt pathway in breast cancer progression and targeted treatment strategies.
Keywords :
Gaussian distribution; cancer; cellular biophysics; enzymes; genetics; molecular biophysics; patient treatment; ErbB receptor signaling; ErbB signaling cascade; ErbB signaling network; ErbB signaling pathway; Gaussian approximation; PI3K-Akt pathway; bidirectional cross-talk; breast cancer progression; endocrine resistance; estrogen receptor-breast cancer patients; experimental model construction; genetic interactions; hormonal receptors; intracellular signaling molecules; mammary gland; molecular deformation; molecular mechanism; Breast cancer; Erbium; Gene expression; Mathematical model; Sociology; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Bioinformatics and Bioengineering (BIBE), 2013 IEEE 13th International Conference on
Conference_Location :
Chania
Type :
conf
DOI :
10.1109/BIBE.2013.6701557
Filename :
6701557
Link To Document :
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