Abstract
We explore the role of narratives of complex systems in anti-cancer drug design. We set out the value of narratives relating to cancer in promoting awareness of risky behaviour and in supporting decision-making regarding treatment options. We present cancer as a dysregulated, complex system that has emergent behaviours at multiple scales, and is governed by dynamical spatio-temporal processes. We show that this system changes structure and function in response to anti-cancer drugs, and explain that these changes are sufficiently complex to impede effective drug design. We pose what narrative might offer to support the process of drug design, providing an example of work done to date that might serve as a foundation for narrating complexity. We suggest ways of using this work combined with that of others to begin to consider narrating drug design.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Bach B, Kerracher N, Hall KW, Carpendale S, Kennedy J, Riche N (2016) Telling stories about dynamic networks with graph comics. In: Proceedings of the 2016 CHI conference on human factors in computing systems (CHI‘16). ACM Press. doi: https://doi.org/10.1145/2858036.2858387
Behar M, Barken D, Werner SL, Hoffmann A (2013) The dynamics of signaling as a pharmacological target. Cell 155:448–461
Bown J, Andrews PS, Deeni Y, Goltsov A, Idowu M, Polack FAC, Sampson ATS, Shovman M, Stepney S (2012) Engineering simulations for cancer systems biology. Curr Drug Targets 13(12):1560–1574
Bown JL, Shovman M, Robertson P, Boiko A, Goltsov A, Mullen P, Harrison DJ (2017) A signaling visualization toolkit to support rational design of combination therapies and biomarker discovery: SiViT. Oncotarget 8(18):29657–29667
Boy J, Detienne F, Fekete JD (2015) Storytelling in information visualizations: does it engage users to explore data? In: Proceedings of the 33rd annual ACM conference on human factors in computing systems. ACM Press, pp 1449–1458
Cancer Research UK (2016) http://www.cancerresearchuk.org/about-cancer/what-is-cancer. Accessed 3 Aug 16
Chandarlapaty S (2012) Negative feedback and adaptive resistance to the targeted therapy of cancer. Cancer Discov 2:311–319
Chong CR, Jänne PA (2013) The quest to overcome resistance to EGFR-targeted therapies in cancer. Nat Med 19:1389–1400
Cooper GM (2000) The cell: a molecular approach, 2nd edn. Sinauer Associates, Sunderland, MA
Coulter A, Entwistle VA, Eccles A, Ryan S, Shepperd S, Perera R (2015) Personalised care planning for adults with chronic or long-term health conditions. Cochrane Database Syst Rev 2015(3):CD010523. https://doi.org/10.1002/14651858.CD010523.pub2
Department of Health (2012) Long term conditions compendium of information, 3rd edn. https://www.gov.uk/government/publications/long-term-conditions-compendium-of-information-third-edition. Accessed 3 Aug 2016
Goltsov A, Faratian D, Langdon SP, Mullen P, Harrison DJ, Bown J (2012) Features of the reversible sensitivity-resistance transition in PI3K/PTEN/AKT signaling network after HER2 inhibition. Cell Signal 24:493–504
Goltsov A, Langdon SP, Goltsov G, Harrison DJ, Bown J (2014) Customizing the therapeutic response of signaling networks to promote antitumor responses by drug combinations. Front Oncol 4:13. https://doi.org/10.3389/fonc.2014.00013
Hanahan D, Weinberg RA (2000) The hallmarks of cancer. Cell 100:57–70
Hu H, Gotlsov A, Bown JL, Sims AH, Langdon SP, Harrison DJ, Faratian D (2013) Feedforward and feedback regulation of the MAPK and PI3K oscillatory circuit in breast cancer. Cell Signal 25(1):26–32
Jaalouk DE, Lammerding J (2009) Mechanotransduction gone awry. Nat Rev Mol Cell Biol 10:63–73. https://doi.org/10.1038/nrm2597
Janes KA, Lauffenburger DA (2013) Models of signalling networks – what cell biologists can gain from them and give to them. J Cell Sci 126:1913–1921
Janssen E, van Osch L, de Vries Lechner L (2013) The influence of narrative risk communication on feelings of cancer risk. Br J Health Psychol 18:407–419. https://doi.org/10.1111/j.2044-8287.2012.02098.x
Kholodenko BN (2015) Drug resistance resulting from kinase dimerization is rationalized by thermodynamic factors describing allosteric inhibitor effects. Cell Rep 12:1939–1949. https://doi.org/10.1016/j.celrep.2015.08.014
King’s Fund (2012) Time to think differently. Long term conditions and multimorbidity. http://www.kingsfund.org.uk/time-to-think-differently/trends/disease-and-disability/long-term-conditions-multi-morbidity#morbidity. Accessed 3 Aug 2016
Kreeger PK, Lauffenburger DA (2009) Cancer systems biology: a network modeling perspective. Carciogenesis 31(1):2–8
Lee MJ, Ye AS, Gardino AK, Heijnk AM, Sorger PK, MacBeath G, Yaffe MB (2012) Sequential application of anticancer drugs enhances cell death by rewiring apoptotic signaling networks. Cell 149:780–794
Lee B, Riche N, Isenberg P, Carpendale S (2015) More than telling a story: a closer look at the process of transforming data into visually shared stories. IEEE Comput Graph Appl 35(5):84–90
Medina-Franco JL, Giulianotti MA, Welmaker GS, Houghten RA (2013) Shifting from the single- to the multitarget paradigm in drug discovery. Drug Discov Today 18:495–501
Segel E, Heer J (2010) Narrative visualization: telling stories with data. IEEE Trans Vis Comput Graph 16(6):1139–1148
Shaffer VA, Hulsey L, Zikmund-Fisher BJ (2013) The effects of process-focused versus experience-focused narratives in a breast cancer treatment decision task. Patient Educ Couns 93(2):255–264
Singer CF, Köstler WJ, Hudelist G (2008) Predicting the efficacy of trastuzumab-based therapy in breast cancer: current standards and future strategies. Biochim Biophys Acta 1786(2):105–113
Stepney S, Welch PH, Andrews PS, Ritson CG (eds) (2011) Proceedings of the 2011 workshop on complex systems modelling and simulation, Paris, France, Aug 2011. Luniver Press
Stewart BW, Wild CP (2014) World cancer report. WHO Press, Geneva
United Nations General Assembly (2013) https://www.idf.org/sites/default/files/UN%20Secretary%20General%20Progress%20Report%20on%20NCDs%20Dec%202013.pdf. Accessed 3 Aug 2016
Wong E, Baur B, Quader S, Huang CH (2012) Biological network motif detection: principles and practice. Brief Bioinform 13(2):202–215. https://doi.org/10.1093/bib/bbr033
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2018 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Bown, J., Goltsov, A. (2018). Narratives for Drug Design. In: Walsh, R., Stepney, S. (eds) Narrating Complexity. Springer, Cham. https://doi.org/10.1007/978-3-319-64714-2_18
Download citation
DOI: https://doi.org/10.1007/978-3-319-64714-2_18
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-64712-8
Online ISBN: 978-3-319-64714-2
eBook Packages: Computer ScienceComputer Science (R0)