Workshop HTE (2017)

In this workshop, the speakers presented methods of mathematics and bioinformatics to record, analyse and predict the evolution of tumour cell populations, with respect to both their intrinsic phenotype and/or genetic heterogeneity and to their bidirectional communications with the surrounding stromal cell populations.

The potential impact on tumour heterogeneity investigation of continuous space and/or phenotype-structured mathematical models, of dynamic bioinformatic and biostatistic analyses on gene expression data, and of phylogenetic cancer studies were the main foci of the talks.

New insights from these presentations and discussions with the audience were expected to sketch the design of forthcoming innovative tracks in the biology of cancer and its therapeutics.


10h00-10h15   Introduction
10h15-11h15   Probabilistic/statistic models for inferring tumour heterogeneity and phylogeny - Gregory Nuel, CNRS, LPMA, UPMC, Sorbonne Universités
11h15-12h15   Mathematical modelling of tissue growth - Benoît Perthame, LJLL, UPMC, Sorbonne Universités
12h15-13h45   Lunch
13h45-14h45   Quantification of cancer evolutionary dynamics using multi-scale mathematical modelling of genomic data
- Trevor Graham, Queen Mary University of London, UK
14h45-15h45   Multi-scale modelling of cell-microenvironment interactions and cell competition during angiogenesis and tumour progression - Roeland Merks, CWI, NL
15h45-16h15   Break
16h15-17h15   Unravelling the impact of heterogeneity on tumour responses to treatment - Helen Byrne, Oxford, UK
17h15-18h00   Conclusion

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