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network rewiring,adaptive resistance and combating strategies in breast cancer

Cancer Drug Resistance 2019年第4期2卷 1106-1126页

作者： Constance Gaya Cremers Lan K.Nguyen Department of Biochemistry and Molecular Biology School of Biomedical SciencesMonash UniversityClaytonVictoria 3800Australia Biomedicine Discovery Institute Monash UniversityClaytonVictoria 3800Australia

Resistance to targeted anti-cancer drugs is a complex phenomenon and a major challenge in cancer *** is becoming increasingly evident that a form of acquired drug resistance known as“adaptive resistance”is a common cause of treatment failure and patient relapse in many *** classical resistance mechanisms that are acquired via genomic alterations,adaptive resistance is instead driven by non-genomic changes involving rapid and dynamic rewiring of signalling and/or transcriptional networks following therapy,enabled by complex pathway crosstalk and feedback *** network rewiring allows tumour cells to adapt to the drug treatment,circumvent the initial drug challenge and continue to survive in the presence of the *** its great clinical importance,adaptive resistance remains largely under-studied and poorly *** review is focused on recent findings which provide new insights into the mechanisms underlying adaptive resistance in breast cancer,highlighting how breast tumour cells rewire intracellular signalling pathways to overcome the stress of initial targeted *** particular,we investigate adaptive resistance to targeted inhibition of two major oncogenic signalling axes frequently dysregulated in breast cancer,the PI3K-AKT-mTOR and RAS-MAPK signalling pathways;and discuss potential combination treatment strategies that overcome such *** addition,we highlight application of quantitative and computational modelling as a novel integrative and powerful approach to gain network-level understanding of network rewiring,and rationally identify and prioritise effective drug combinations.

关键词： network rewiring adaptive resistance PI3K signalling MAPK signalling breast cancer mathematical modelling systems analysis

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Enhancing the synchronizability of networks by rewiring based on tabu search and a local greedy algorithm

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Chinese Physics B 2011年第12期20卷 490-497页

作者：杨翠丽鄧榤生 Department of Electronic Engineering City University of Hong Kong

By considering the eigenratio of the Laplacian matrix as the synchronizability measure, this paper presents an efficient method to enhance the synchronizability of undirected and unweighted networks via rewiring. The rewiring method combines the use of tabu search and a local greedy algorithm so that an effective search of solutions can be achieved. As demonstrated in the simulation results, the performance of the proposed approach outperforms the existing methods for a large variety of initial networks, both in terms of speed and quality of solutions.

关键词： synchronizability network rewiring tabu search local greedy complex networks

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