Modeling the stem cell hypothesis: Investigating the effects of cancer stem cells and TGF-β on tumor growth

Math Biosci Eng. 2019 Aug 7;16(6):7177-7194. doi: 10.3934/mbe.2019360.

Abstract

We propose a mathematical model to describe the interaction of cancer stem cells, tumor cells, and the immune system in order to better understand tumor growth in the presence of cancer stem cells. We consider the system in two scenarios: with no-treatment and with a chemotherapy treatment regimen. We develop a system of differential equations, fit the parameters to experimental data, and perform sensitivity and stability analysis. The model simulations show that the tumor cells grow as predicted with no-treatment and that with chemotherapy, which targets only the tumor cells, the cancer will eventually relapse. As chemotherapy does not target the cancer stem cells, we conclude that the tumor cells recover due to the presence of cancer stem cells.

Keywords: cancer stem cell; chemotherapy; mathematical model; mathematical oncology; transforming growth factor.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Animals
  • Antineoplastic Agents / pharmacology
  • CD8-Positive T-Lymphocytes / cytology
  • Calibration
  • Drug Administration Schedule
  • Fluorouracil / pharmacology
  • Gene Expression Regulation, Neoplastic*
  • Humans
  • Mice
  • Models, Biological
  • Neoplasm Recurrence, Local
  • Neoplasms / drug therapy*
  • Neoplasms / pathology
  • Neoplastic Stem Cells / metabolism*
  • Reproducibility of Results
  • Transforming Growth Factor beta / metabolism*
  • Treatment Outcome

Substances

  • Antineoplastic Agents
  • Transforming Growth Factor beta
  • Fluorouracil