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Network-based analysis of prostate cancer cell lines reveals novel marker gene candidates associated with radioresistance and patient relapse
by Michael Seifert, Claudia Peitzsch, Ielizaveta Gorodetska, Caroline B örner, Barbara Klink, Anna Dubrovska Radiation therapy is an important and effective treatment option for prostate cancer, but high-risk patients are prone to relapse due to radioresistance of cancer cells. Molecular mechanisms that contribute to radioresistance are not fully understood. Novel computational strategies are needed to i dentify radioresistance driver genes from hundreds of gene copy number alterations. We developed a network-based approach based on lasso regression in combination with network propagation for the analysis of prostate can...
Source: PLoS Computational Biology - November 3, 2019 Category: Biology Authors: Michael Seifert Source Type: research

Application of bifurcation theory and siRNA-based control signal to restore the proper response of cancer cells to DNA damage
Publication date: 7 November 2016 Source:Journal of Theoretical Biology, Volume 408 Author(s): Emilia Kozłowska, Krzysztof Puszynski Many diseases with a genetic background such as some types of cancer are caused by damage in the p53 signaling pathway. The damage changes the system dynamics providing cancer cells with resistance to therapy such as radiation therapy. The change can be observed as the difference in bifurcation diagrams and equilibria type and location between normal and damaged cells, and summarized as the changes of the mathematical model parameters and following changes of the eigenvalues of Jacobian mat...
Source: Journal of Theoretical Biology - August 23, 2016 Category: Biology Source Type: research