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Bull Cancer. 2014 Jun;101 Suppl 1:S18-21. doi: 10.1684/bdc.2014.1973.

[Biological network modelling and precision medicine in oncology].

[Article in French]

Author information

1
Institut Curie, 26 rue d'Ulm, 75248 Paris, France, INSERM U900, 75248 Paris, France, Mines ParisTech, 77300 Fontainebleau, France.
2
Institut Curie, 26 rue d'Ulm, 75248 Paris, France, INSERM U900, 75248 Paris, France, Mines ParisTech, 77300 Fontainebleau, France, Ecole Normale Supérieure, IBENS, 46 rue d'Ulm, Paris, France, CNRS UMR8197, 75005 Paris, France, INSERM U1024, 75005 Paris, France, Present address : Clinical Operational Research Unit, University College London, London, UK.
3
Institut Curie, 26 rue d'Ulm, 75248 Paris, France, INSERM U900, 75248 Paris, France, Mines ParisTech, 77300 Fontainebleau, France, CNRS UMR144, 75248 Paris, France.

Abstract

Precision medicine in oncology is becoming reality thanks to the next-generation sequencing of tumours and the development of targeted inhibitors enabling tailored therapies. Many clinical trials base their strategy on the identification of mutations to deliver the targeted inhibitor that counteract supposedly the effect of a mutated gene. Recent results have shown that this gene-centered strategy can be successful, but can also fall short in stopping progression. This is due to the many compensation mechanisms, cross-talks and feedback loops that enable the tumoral cell to escape treatment. Taking into account the regulatory network is necessary to establish which inhibitor or combination of inhibitors would achieve the best therapeutic results. Mathematical modelling of biological networks, together with high-quality pathway databases collecting our knowledge of the molecular circuitry of normal and tumoral cells, hold the hopes of an enhanced future for precision medicine in oncology.

KEYWORDS:

molecular profiles of tumour; network-based genomic analysis; pathway databases; systems biology; targeted inhibitor

PMID:
24966078
DOI:
10.1684/bdc.2014.1973
[Indexed for MEDLINE]

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