Classifying the evolutionary and ecological features of neoplasms.
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Date
2017-10-01Author
Maley, CC
Aktipis, A
Graham, TA
Sottoriva, A
Boddy, AM
Janiszewska, M
Silva, AS
Gerlinger, M
Yuan, Y
Pienta, KJ
Anderson, KS
Gatenby, R
Swanton, C
Posada, D
Wu, C-I
Schiffman, JD
Hwang, ES
Polyak, K
Anderson, ARA
Brown, JS
Greaves, M
Shibata, D
Type
Journal Article
Metadata
Show full item recordAbstract
Neoplasms change over time through a process of cell-level evolution, driven by genetic and epigenetic alterations. However, the ecology of the microenvironment of a neoplastic cell determines which changes provide adaptive benefits. There is widespread recognition of the importance of these evolutionary and ecological processes in cancer, but to date, no system has been proposed for drawing clinically relevant distinctions between how different tumours are evolving. On the basis of a consensus conference of experts in the fields of cancer evolution and cancer ecology, we propose a framework for classifying tumours that is based on four relevant components. These are the diversity of neoplastic cells (intratumoural heterogeneity) and changes over time in that diversity, which make up an evolutionary index (Evo-index), as well as the hazards to neoplastic cell survival and the resources available to neoplastic cells, which make up an ecological index (Eco-index). We review evidence demonstrating the importance of each of these factors and describe multiple methods that can be used to measure them. Development of this classification system holds promise for enabling clinicians to personalize optimal interventions based on the evolvability of the patient's tumour. The Evo- and Eco-indices provide a common lexicon for communicating about how neoplasms change in response to interventions, with potential implications for clinical trials, personalized medicine and basic cancer research.
Collections
Subject
Humans
Neoplasms
Reactive Oxygen Species
Antigens, Neoplasm
Gene Expression
Phenotype
Time Factors
Genetic Variation
Ecological and Environmental Phenomena
Biological Evolution
Tumor Microenvironment
Microbiota
Tumor Hypoxia
Research team
Biology of Childhood Leukaemia
Computational Pathology & Integrated Genomics
Translational Oncogenomics
Language
eng
Date accepted
2017-09-15
License start date
2017-10
Citation
Nature reviews. Cancer, 2017, 17 (10), pp. 605 - 619
Publisher
NATURE PUBLISHING GROUP