alexa Modelling the Evolutionary Trajectory of Metastatic Cancer Treated with Modified Adaptive Therapy | OMICS International| Abstract
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Journal of Cancer Science & Therapy
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  • Research Article   
  • J Cancer Sci Ther/Vol.11.9 269(2019),

Modelling the Evolutionary Trajectory of Metastatic Cancer Treated with Modified Adaptive Therapy

Daniel Mau, Joy Xu and Alexandra Neagu*
University of Toronto, University of Toronto Schools, Canada
*Corresponding Author : Alexandra Neagu, University of Toronto, University of Toronto Schools, Canada, Tel: +6478717224, Email: alex[email protected], [email protected]

Received Date: Aug 09, 2019 / Accepted Date: Sep 14, 2019 / Published Date: Sep 23, 2019


Although cancer is recognized as an evolutionary process, cancer research lacks focus regarding the disease’s evolutionary aspect. The focus of this study is on metastatic cancer as it is difficult to treat and control. COBWEB, an agent-based simulation software, was used to determine whether adaptive therapy could control the evolutionary trajectory of the tumor and reduce further metastasis in a patient. Initial results indicated that I. drug usage could serve as a selective pressure against aggressive and resistant cells in order to extrapolate selective advantages for the less aggressive cancerous cells and that II. primitive adaptive therapy, based on the oscillation of two drugs, could provide more control over metastasis rather than conventional treatments. Overall, further research is necessary to confirm whether adaptive therapy can increase median survival rates and the quality of life for patients with metastatic cancer.

Keywords: Adaptive therapy; Metastasis; Drug resistance; Cancer; Tumor

Citation: Mau D, Xu J, Neagu A (2019) Modelling the Evolutionary Trajectory of Metastatic Cancer Treated with Modified Adaptive Therapy. J Cancer Sci Ther 11: 266-271.

Copyright: © 2019 Mau D, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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