由Marek Kimmel（赖斯大学）教授编辑的嘉宾，新系列类似地与进化与癌症交织在一起的方式相似，并突出了自2010年以来随后几年取得的进展。

A message from the series’ Editor

“Mathematical modelling of evolution of cancer has undergone a further transformation in recent years. Laboratory techniques, which were revolutionary six years ago, are now gradually becoming routine. As an example,The Cancer Genome Atlascontains data on individual tumours which would be impossible to obtain without progress in sequencing. Subsampling of different locations in tumours and sequencing DNA from the samples has become a practical method of establishing heterogeneity. Similarly, cell barcoding and single-cell sequencing aids our understanding of the heterogeneity of cancer clones.

New data is now confronted with theoretical approaches that make it possible to infer the events of carcinogenesis and cancer progression with increased accuracy. This progress also allows us to better understand the relationship of heterogeneity and treatment outcomes”.

What’s new

The new series launches this week with five articles concerning the evolution of cancer cell populations, interactions between tissue structures and carcinogenesis and the impact of cancer heterogeneity on optimal therapies:

• Should tissue structure suppress or amplify selection to minimize cancer risk?
  Laura Hindersin, Benjamin Werner, David Dingli and Arne Traulsen
• Optimal Treatment and Stochastic Modeling of Heterogeneous Tumors
  Hamidreza Badri & Kevin Leder
• Tracking the evolution of cancer cell populations through the mathematical lens of phenotype-structured equations
  Tommaso Lorenzi, Rebecca H Chisholm and Jean Clairambault
• Primary and metastatic tumor dormancy as a result of population heterogeneity
  Irina Kareva
• The role of cell location and spatial gradients in the evolutionary dynamics of colon and intestinal crypts
  Leili Shahriyari, Natalia L Komarova and Alexandra Jilkine

Coming up

In the coming months we also look forward to expanding the series to include new articles discussing the emergence of heterogeneity in acute leukaemia, multilayer spatial evolutionary games and personalized treatment strategies incorporating evolutionary dynamics.

As previously emphasized by Professor Kimmel, both a qualitative and quantitative understanding of cancer is a necessary condition for engineering effective approaches to treatment. Taken together, we hope the articles published in this thematic series will help shed light on the substantial progress being made by cancer researchers and mathematical modellers alike.

All articles in the series can be readhereand further research will be added in the coming months.