Title |
A model of estrogen-related gene expression reveals non-linear effects in transcriptional response to tamoxifen
|
---|---|
Published in |
BMC Systems Biology, November 2012
|
DOI | 10.1186/1752-0509-6-138 |
Pubmed ID | |
Authors |
Galina Lebedeva, Azusa Yamaguchi, Simon P Langdon, Kenneth Macleod, David J Harrison |
Abstract |
Estrogen receptors alpha (ER) are implicated in many types of female cancers, and are the common target for anti-cancer therapy using selective estrogen receptor modulators (SERMs, such as tamoxifen). However, cell-type specific and patient-to-patient variability in response to SERMs (from suppression to stimulation of cancer growth), as well as frequent emergence of drug resistance, represents a serious problem. The molecular processes behind mixed effects of SERMs remain poorly understood, and this strongly motivates application of systems approaches. In this work, we aimed to establish a mathematical model of ER-dependent gene expression to explore potential mechanisms underlying the variable actions of SERMs. |
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