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Classifying the evolutionary and ecological features of neoplasms

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TLDR
A framework for classifying tumours is proposed that holds promise for enabling clinicians to personalize optimal interventions based on the evolvability of the patient's tumour, and the Evo- and Eco-indices provide a common lexicon for communicating about how neoplasms change in response to interventions.
Abstract
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.

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A framework for advancing our understanding of cancer-associated fibroblasts

TL;DR: This Consensus Statement issues a call to action for all cancer researchers to standardize assays and report metadata in studies of cancer-associated fibroblasts to advance the understanding of this important cell type in the tumour microenvironment.
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Turning foes to friends: targeting cancer-associated fibroblasts

TL;DR: The progress made to date and the remaining challenges in bringing CAF-targeted therapies to the clinic are highlighted and the relevant translational advances and potential therapeutic strategies that target CAFs for cancer treatment are highlighted.
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Targeting the tumour stroma to improve cancer therapy

TL;DR: An overview of the advances in understanding the complex cancer cell–tumour stroma interactions is provided and how this knowledge can result in more effective therapeutic strategies, which might ultimately improve patient outcomes are discussed.
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Tumor Angiogenesis: Therapeutic Implications

TL;DR: This new capillary growth is even more vigorous and continuous than a similar outgrowth of capillary sprouts observed in 2016 and is likely to be accompanied by neovascularization.
Journal ArticleDOI

Genetic distance between populations

TL;DR: If enough data are available, genetic distance between any pair of organisms can be measured in terms of D, and this measure is applicable to any kind of organism without regard to ploidy or mating scheme.
Journal ArticleDOI

Signatures of mutational processes in human cancer

Ludmil B. Alexandrov, +84 more
- 22 Aug 2013 - 
TL;DR: It is shown that hypermutation localized to small genomic regions, ‘kataegis’, is found in many cancer types, and this results reveal the diversity of mutational processes underlying the development of cancer.
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How has the classification system for cancer evolved over time and what factors have influenced these changes?

The paper proposes a framework for classifying tumors based on evolutionary and ecological factors, but does not discuss the evolution of the classification system over time or the factors that have influenced these changes.