TY - JOUR
T1 - Tumour heterogeneity and the evolutionary trade-offs of cancer
AU - Hausser, Jean
AU - Alon, Uri
N1 - The authors thank R. Shouval and members of U.A. and J. Joyce’s labs for feedback on the manuscript. This work was supported by the Minerva foundation. U.A. is the incumbent of the Abisch-Frenkel Professorial Chair and acknowledges funding by BSF-NSF-NIH-CRCNS. J.H. acknowledges the support of the Swiss National Science Foundation (#177868), the Swedish Research Council and the Swedish Cancer Society. The authors contributed equally to all aspects of the article.
PY - 2020/4/1
Y1 - 2020/4/1
N2 - This Perspective discusses the theory of multi-task evolution in cancer, which can contribute to understanding tumour diversity. It introduces the concept of generalist and specialist tumours in the contexts of driver mutations and discusses the potential applications to interpret intratumour heterogeneity.Tumours vary in gene expression programmes and genetic alterations. Understanding this diversity and its biological meaning requires a theoretical framework, which could in turn guide the development of more accurate prognosis and therapy. Here, we review the theory of multi-task evolution of cancer, which is based upon the premise that tumours evolve in the host and face selection trade-offs between multiple biological functions. This theory can help identify the major biological tasks that cancer cells perform and the trade-offs between these tasks. It introduces the concept of specialist tumours, which focus on one task, and generalist tumours, which perform several tasks. Specialist tumours are suggested to be sensitive to therapy targeting their main task. Driver mutations tune gene expression towards specific tasks in a tissue-dependent manner and thus help to determine whether a tumour is specialist or generalist. We discuss potential applications of the theory of multi-task evolution to interpret the spatial organization of tumours and intratumour heterogeneity.
AB - This Perspective discusses the theory of multi-task evolution in cancer, which can contribute to understanding tumour diversity. It introduces the concept of generalist and specialist tumours in the contexts of driver mutations and discusses the potential applications to interpret intratumour heterogeneity.Tumours vary in gene expression programmes and genetic alterations. Understanding this diversity and its biological meaning requires a theoretical framework, which could in turn guide the development of more accurate prognosis and therapy. Here, we review the theory of multi-task evolution of cancer, which is based upon the premise that tumours evolve in the host and face selection trade-offs between multiple biological functions. This theory can help identify the major biological tasks that cancer cells perform and the trade-offs between these tasks. It introduces the concept of specialist tumours, which focus on one task, and generalist tumours, which perform several tasks. Specialist tumours are suggested to be sensitive to therapy targeting their main task. Driver mutations tune gene expression towards specific tasks in a tissue-dependent manner and thus help to determine whether a tumour is specialist or generalist. We discuss potential applications of the theory of multi-task evolution to interpret the spatial organization of tumours and intratumour heterogeneity.
UR - http://www.scopus.com/inward/record.url?scp=85082561929&partnerID=8YFLogxK
U2 - https://doi.org/10.1038/s41568-020-0241-6
DO - https://doi.org/10.1038/s41568-020-0241-6
M3 - مقالة مرجعية
SN - 1474-175X
VL - 20
SP - 247
EP - 257
JO - Nature Reviews Cancer
JF - Nature Reviews Cancer
IS - 4
ER -