Literature DB >> 21677677

Dynamic modelling of oestrogen signalling and cell fate in breast cancer cells.

John J Tyson1, William T Baumann, Chun Chen, Anael Verdugo, Iman Tavassoly, Yue Wang, Louis M Weiner, Robert Clarke.   

Abstract

Cancers of the breast and other tissues arise from aberrant decision-making by cells regarding their survival or death, proliferation or quiescence, damage repair or bypass. These decisions are made by molecular signalling networks that process information from outside and from within the breast cancer cell and initiate responses that determine the cell's survival and reproduction. Because the molecular logic of these circuits is difficult to comprehend by intuitive reasoning alone, we present some preliminary mathematical models of the basic decision circuits in breast cancer cells that may aid our understanding of their susceptibility or resistance to endocrine therapy.

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Year:  2011        PMID: 21677677      PMCID: PMC3294292          DOI: 10.1038/nrc3081

Source DB:  PubMed          Journal:  Nat Rev Cancer        ISSN: 1474-175X            Impact factor:   60.716


  109 in total

Review 1.  Deciphering antihormone-induced compensatory mechanisms in breast cancer and their therapeutic implications.

Authors:  J M W Gee; V E Shaw; S E Hiscox; R A McClelland; N K Rushmere; R I Nicholson
Journal:  Endocr Relat Cancer       Date:  2006-12       Impact factor: 5.678

2.  Rationalizing translation attenuation in the network architecture of the unfolded protein response.

Authors:  Ala Trusina; Feroz R Papa; Chao Tang
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-15       Impact factor: 11.205

3.  Distinct mechanisms act in concert to mediate cell cycle arrest.

Authors:  Jared E Toettcher; Alexander Loewer; Gerard J Ostheimer; Michael B Yaffe; Bruce Tidor; Galit Lahav
Journal:  Proc Natl Acad Sci U S A       Date:  2009-01-12       Impact factor: 11.205

4.  Evaluating bistability of Bax activation switch.

Authors:  Tingzhe Sun; Xuzhu Lin; Yinna Wei; Yichen Xu; Pingping Shen
Journal:  FEBS Lett       Date:  2010-01-22       Impact factor: 4.124

5.  Effective tamoxifen therapy of breast cancer involves both antiproliferative and pro-apoptotic changes.

Authors:  D A Cameron; J C Keen; J M Dixon; C Bellamy; A Hanby; T J Anderson; W R Miller
Journal:  Eur J Cancer       Date:  2000-05       Impact factor: 9.162

6.  MCF-7 breast cancer cells overexpressing transfected c-erbB-2 have an in vitro growth advantage in estrogen-depleted conditions and reduced estrogen-dependence and tamoxifen-sensitivity in vivo.

Authors:  Y Liu; D el-Ashry; D Chen; I Y Ding; F G Kern
Journal:  Breast Cancer Res Treat       Date:  1995-05       Impact factor: 4.872

7.  A dynamical systems model for combinatorial cancer therapy enhances oncolytic adenovirus efficacy by MEK-inhibition.

Authors:  Neda Bagheri; Marisa Shiina; Douglas A Lauffenburger; W Michael Korn
Journal:  PLoS Comput Biol       Date:  2011-02-17       Impact factor: 4.475

8.  Network modeling links breast cancer susceptibility and centrosome dysfunction.

Authors:  Miguel Angel Pujana; Jing-Dong J Han; Lea M Starita; Kristen N Stevens; Muneesh Tewari; Jin Sook Ahn; Gad Rennert; Víctor Moreno; Tomas Kirchhoff; Bert Gold; Volker Assmann; Wael M Elshamy; Jean-François Rual; Douglas Levine; Laura S Rozek; Rebecca S Gelman; Kristin C Gunsalus; Roger A Greenberg; Bijan Sobhian; Nicolas Bertin; Kavitha Venkatesan; Nono Ayivi-Guedehoussou; Xavier Solé; Pilar Hernández; Conxi Lázaro; Katherine L Nathanson; Barbara L Weber; Michael E Cusick; David E Hill; Kenneth Offit; David M Livingston; Stephen B Gruber; Jeffrey D Parvin; Marc Vidal
Journal:  Nat Genet       Date:  2007-10-07       Impact factor: 38.330

Review 9.  Regulation mechanisms and signaling pathways of autophagy.

Authors:  Congcong He; Daniel J Klionsky
Journal:  Annu Rev Genet       Date:  2009       Impact factor: 16.830

10.  Co-inhibition of BCL-W and BCL2 restores antiestrogen sensitivity through BECN1 and promotes an autophagy-associated necrosis.

Authors:  Anatasha C Crawford; Rebecca B Riggins; Ayesha N Shajahan; Alan Zwart; Robert Clarke
Journal:  PLoS One       Date:  2010-01-06       Impact factor: 3.240

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  85 in total

Review 1.  Systems biology: perspectives on multiscale modeling in research on endocrine-related cancers.

Authors:  Robert Clarke; John J Tyson; Ming Tan; William T Baumann; Lu Jin; Jianhua Xuan; Yue Wang
Journal:  Endocr Relat Cancer       Date:  2019-06       Impact factor: 5.678

2.  Modeling the estrogen receptor to growth factor receptor signaling switch in human breast cancer cells.

Authors:  Chun Chen; William T Baumann; Robert Clarke; John J Tyson
Journal:  FEBS Lett       Date:  2013-08-28       Impact factor: 4.124

3.  Post-transcriptional regulation of ERBB2 by miR26a/b and HuR confers resistance to tamoxifen in estrogen receptor-positive breast cancer cells.

Authors:  Sheng Tan; Keshuo Ding; Qing-Yun Chong; Junsong Zhao; Yuan Liu; Yunying Shao; Yuanyuan Zhang; Qing Yu; Zirui Xiong; Weijie Zhang; Min Zhang; Gaopeng Li; Xiaoni Li; Xiangjun Kong; Akhlaq Ahmad; Zhengsheng Wu; Qiang Wu; Xiaodong Zhao; Peter E Lobie; Tao Zhu
Journal:  J Biol Chem       Date:  2017-06-21       Impact factor: 5.157

4.  Estrogen receptor-α signaling and localization regulates autophagy and unfolded protein response activation in ER+ breast cancer.

Authors:  Katherine L Cook; Robert Clarke
Journal:  Receptors Clin Investig       Date:  2014

Review 5.  Endoplasmic reticulum stress, the unfolded protein response, autophagy, and the integrated regulation of breast cancer cell fate.

Authors:  Robert Clarke; Katherine L Cook; Rong Hu; Caroline O B Facey; Iman Tavassoly; Jessica L Schwartz; William T Baumann; John J Tyson; Jianhua Xuan; Yue Wang; Anni Wärri; Ayesha N Shajahan
Journal:  Cancer Res       Date:  2012-03-15       Impact factor: 12.701

6.  Antitumor effect of XCT790, an ERRα inverse agonist, on ERα-negative endometrial cancer cells.

Authors:  Tetsuya Kokabu; Taisuke Mori; Hiroshi Matsushima; Kaori Yoriki; Hisashi Kataoka; Yosuke Tarumi; Jo Kitawaki
Journal:  Cell Oncol (Dordr)       Date:  2019-01-31       Impact factor: 6.730

7.  Mathematical models of the transitions between endocrine therapy responsive and resistant states in breast cancer.

Authors:  Chun Chen; William T Baumann; Jianhua Xing; Lingling Xu; Robert Clarke; John J Tyson
Journal:  J R Soc Interface       Date:  2014-05-07       Impact factor: 4.118

8.  Antiestrogen Resistance and the Application of Systems Biology.

Authors:  Kerrie B Bouker; Yue Wang; Jianhua Xuan; Robert Clarke
Journal:  Drug Discov Today Dis Mech       Date:  2012-12-01

Review 9.  The dynamic control of signal transduction networks in cancer cells.

Authors:  Walter Kolch; Melinda Halasz; Marina Granovskaya; Boris N Kholodenko
Journal:  Nat Rev Cancer       Date:  2015-08-20       Impact factor: 60.716

10.  A kinetic model identifies phosphorylated estrogen receptor-α (ERα) as a critical regulator of ERα dynamics in breast cancer.

Authors:  Dan Tian; Natalia M Solodin; Prashant Rajbhandari; Kelsi Bjorklund; Elaine T Alarid; Pamela K Kreeger
Journal:  FASEB J       Date:  2015-02-03       Impact factor: 5.191

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