Literature DB >> 31772037

Eradicating Metastatic Cancer and the Eco-Evolutionary Dynamics of Anthropocene Extinctions.

Robert A Gatenby1,2, Yael Artzy-Randrup3, Tamir Epstein4, Damon R Reed5, Joel S Brown4.   

Abstract

Curative therapy for metastatic cancers is equivalent to causing extinction of a large, heterogeneous, and geographically dispersed population. Although eradication of dinosaurs is a dramatic example of extinction dynamics, similar application of massive eco-evolutionary force in cancer treatment is typically limited by host toxicity. Here, we investigate the evolutionary dynamics of Anthropocene species extinctions as an alternative model for curative cancer therapy. Human activities can produce extinctions of large, diverse, and geographically distributed populations. The extinction of a species typically follows a pattern in which initial demographic and ecological insults reduce the size and heterogeneity of the population. The surviving individuals, with decreased genetic diversity and often fragmented ecology, are then vulnerable to small stochastic perturbations that further reduce the population until extinction is inevitable. We hypothesize large, diverse, and disseminated cancer populations can be eradicated using similar evolutionary dynamics. Initial therapy is applied to reduce population size and diversity and followed by new treatments to exploit the eco-evolutionary vulnerability of small and/or declining populations. Mathematical models and computer simulations demonstrate initial reductive treatment followed immediately by demographic and ecological perturbations, similar to the empirically derived treatment of pediatric acute lymphocytic leukemia, can consistently achieve curative outcomes in nonpediatric cancers. SIGNIFICANCE: Anthropocene extinctions suggest a strategy for eradicating metastatic cancers in which initial therapy, by reducing the size and diversity of the population, renders it vulnerable to extinction by rapidly applied additional perturbations. ©2019 American Association for Cancer Research.

Entities:  

Mesh:

Year:  2019        PMID: 31772037     DOI: 10.1158/0008-5472.CAN-19-1941

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  10 in total

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Review 2.  The Contribution of Evolutionary Game Theory to Understanding and Treating Cancer.

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Review 3.  Integrating evolutionary dynamics into cancer therapy.

Authors:  Robert A Gatenby; Joel S Brown
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4.  Optimal control to reach eco-evolutionary stability in metastatic castrate-resistant prostate cancer.

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Journal:  PLoS One       Date:  2020-12-08       Impact factor: 3.240

Review 5.  Novel evolutionary dynamics of small populations in breast cancer adjuvant and neoadjuvant therapy.

Authors:  Yael Artzy-Randrup; Tamir Epstein; Joel S Brown; Ricardo L B Costa; Brian J Czerniecki; Robert A Gatenby
Journal:  NPJ Breast Cancer       Date:  2021-03-11

6.  A Proposed Trial Design for the Treatment of Widely Metastatic Ewing Sarcoma Inspired by Evolutionary Dynamics.

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Review 7.  A 2022 Update on Extensive Stage Small-Cell Lung Cancer (SCLC).

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Review 8.  Does Cancer Biology Rely on Parrondo's Principles?

Authors:  Jean-Pascal Capp; Aurora M Nedelcu; Antoine M Dujon; Benjamin Roche; Francesco Catania; Beata Ujvari; Catherine Alix-Panabières; Frédéric Thomas
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9.  Special Collection on Ecological and Evolutionary Approaches to Cancer Control: Cancer Finds a Conceptual Home.

Authors:  Christopher J Whelan; Robert A Gatenby
Journal:  Cancer Control       Date:  2020 Jan-Dec       Impact factor: 3.302

10.  Insights From the Ecology of Information to Cancer Control.

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Journal:  Cancer Control       Date:  2020 Jul-Aug       Impact factor: 3.302

  10 in total

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