UPA Perpustakaan Universitas Jember

A network modeling approach to elucidate drug resistance mechanisms and predict combinatorial drug treatments in breast cancer

ZANUDO 1.2.3,Jorge Gómez Tejeda - Personal Name
SCALTRITI 4.5,Maurizio - Personal Name
ALBERT 1.6,Réka - Personal Name

Background: Mechanistic models of within-cell signal transduction networks can explain how these networks integrate internal and external inputs to give rise to the appropriate cellular response. These models can be fruitfully used in cancer cells, whose aberrant decision-making regarding their survival or death, proliferation or quiescence can be connected to errors in the state of nodes or edges of the signal transduction network.
Results: Here we present a comprehensive network, and discrete dynamic model, of signal transduction in ER+ breast cancer based on the literature of ER+, HER2+, and PIK3CA-mutant breast cancers. The network model recapitulates known resistance mechanisms to PI3K inhibitors and suggests other possibilities for resistance. The model also reveals known and novel combinatorial interventions that are more effective than PI3K inhibition alone.
Conclusions: The use of a logic-based, discrete dynamic model enables the identification of results that are mainly due to the organization of the signaling network, and those that also depend on the kinetics of individual events. Network-based models such as this will play an increasing role in the rational design of high-order therapeutic combinations.

EB00000003150K Available

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E-Jurnal

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Combination therapy
Breast cancer,
Signal transduction networks,
Network model,
Dynamic model,
Resistance,

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Jorge Gomez Tejeda Zanudo 1.2.3, Maurizio Scaltriti 4.5, Reka Albert 1.6

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NPP. 3509212D1000001

A network modeling approach to elucidate drug resistance mechanisms and predict combinatorial drug treatments in breast cancer

ZANUDO 1.2.3*,Jorge Gómez Tejeda - Personal NameSCALTRITI 4.5,Maurizio - Personal NameALBERT 1.6*,Réka - Personal Name

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ZANUDO 1.2.3,Jorge Gómez Tejeda - Personal Name
SCALTRITI 4.5,Maurizio - Personal Name
ALBERT 1.6,Réka - Personal Name