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Items: 1 to 20 of 85

1.

On the role of cell signaling models in cancer research.

Ventura AC, Jackson TL, Merajver SD.

Cancer Res. 2009 Jan 15;69(2):400-2. doi: 10.1158/0008-5472.CAN-08-4422. Review.

2.

Modeling Signaling Networks to Advance New Cancer Therapies.

Saez-Rodriguez J, MacNamara A, Cook S.

Annu Rev Biomed Eng. 2015;17:143-63. doi: 10.1146/annurev-bioeng-071813-104927. Epub 2015 Aug 14. Review.

PMID:
26274601
3.

Signal transduction networks in cancer: quantitative parameters influence network topology.

Klinke DJ 2nd.

Cancer Res. 2010 Mar 1;70(5):1773-82. doi: 10.1158/0008-5472.CAN-09-3234. Epub 2010 Feb 23.

4.

The role of the microenvironment in tumor growth and invasion.

Kim Y, Stolarska MA, Othmer HG.

Prog Biophys Mol Biol. 2011 Aug;106(2):353-79. doi: 10.1016/j.pbiomolbio.2011.06.006. Epub 2011 Jun 28. Review.

5.

Cell death and life in cancer: mathematical modeling of cell fate decisions.

Zinovyev A, Fourquet S, Tournier L, Calzone L, Barillot E.

Adv Exp Med Biol. 2012;736:261-74. doi: 10.1007/978-1-4419-7210-1_15.

PMID:
22161334
6.

Cancer stem cell, niche and EGFR decide tumor development and treatment response: A bio-computational simulation study.

Zhu X, Zhou X, Lewis MT, Xia L, Wong S.

J Theor Biol. 2011 Jan 21;269(1):138-49. doi: 10.1016/j.jtbi.2010.10.016. Epub 2010 Oct 20.

7.

Targeting neuropilin-1 to inhibit VEGF signaling in cancer: Comparison of therapeutic approaches.

Mac Gabhann F, Popel AS.

PLoS Comput Biol. 2006 Dec 29;2(12):e180. Epub 2006 Nov 16.

8.

Computational approaches for modeling regulatory cellular networks.

Eungdamrong NJ, Iyengar R.

Trends Cell Biol. 2004 Dec;14(12):661-9. Review.

9.

Modeling of protein signaling networks in clinical proteomics.

Geho DH, Petricoin EF, Liotta LA, Araujo RP.

Cold Spring Harb Symp Quant Biol. 2005;70:517-24. Review.

PMID:
16869790
10.

Experimental and computational methods for the analysis and modeling of signaling networks.

Gherardini PF, Helmer-Citterich M.

N Biotechnol. 2013 Mar 25;30(3):327-32. doi: 10.1016/j.nbt.2012.11.007. Epub 2012 Nov 16. Review.

PMID:
23165097
11.

Focal adhesion signaling and therapy resistance in cancer.

Eke I, Cordes N.

Semin Cancer Biol. 2015 Apr;31:65-75. doi: 10.1016/j.semcancer.2014.07.009. Epub 2014 Aug 10. Review.

PMID:
25117005
12.

Simplistic pathways or complex networks?

Jørgensen C, Linding R.

Curr Opin Genet Dev. 2010 Feb;20(1):15-22. doi: 10.1016/j.gde.2009.12.003. Epub 2010 Jan 22. Review.

PMID:
20096559
13.

Apoptotic cell signaling in cancer progression and therapy.

Plati J, Bucur O, Khosravi-Far R.

Integr Biol (Camb). 2011 Apr;3(4):279-96. doi: 10.1039/c0ib00144a. Epub 2011 Feb 22. Review.

14.

p27: a barometer of signaling deregulation and potential predictor of response to targeted therapies.

Wander SA, Zhao D, Slingerland JM.

Clin Cancer Res. 2011 Jan 1;17(1):12-8. doi: 10.1158/1078-0432.CCR-10-0752. Epub 2010 Oct 21. Review.

15.

Mathematical modeling of tumor growth and treatment.

Enderling H, Chaplain MA.

Curr Pharm Des. 2014;20(30):4934-40. Review.

PMID:
24283955
16.

Functional Crosstalk Between WNT Signaling and Tyrosine Kinase Signaling in Cancer.

Anastas JN.

Semin Oncol. 2015 Dec;42(6):820-31. doi: 10.1053/j.seminoncol.2015.09.020. Epub 2015 Sep 21. Review.

PMID:
26615128
17.

Tissue Factor Noncoagulant Signaling: Mechanisms and Implications for Cell Migration and Apoptosis.

Åberg M, Eriksson O, Siegbahn A.

Semin Thromb Hemost. 2015 Oct;41(7):691-9. doi: 10.1055/s-0035-1564046. Epub 2015 Sep 29. Review.

PMID:
26418256
18.

PI3K keeps the balance between metabolism and cancer.

Braccini L, Ciraolo E, Martini M, Pirali T, Germena G, Rolfo K, Hirsch E.

Adv Biol Regul. 2012 Sep;52(3):389-405. doi: 10.1016/j.jbior.2012.04.002. Epub 2012 Apr 24. Review.

PMID:
22884032
19.

Adaptation and learning of molecular networks as a description of cancer development at the systems-level: potential use in anti-cancer therapies.

Gyurkó DM, Veres DV, Módos D, Lenti K, Korcsmáros T, Csermely P.

Semin Cancer Biol. 2013 Aug;23(4):262-9. doi: 10.1016/j.semcancer.2013.06.005. Epub 2013 Jun 21. Review.

PMID:
23796463
20.

Modeling of growth factor-receptor systems from molecular-level protein interaction networks to whole-body compartment models.

Wu FT, Stefanini MO, Mac Gabhann F, Popel AS.

Methods Enzymol. 2009;467:461-97. doi: 10.1016/S0076-6879(09)67018-X.

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