Abstract
Metastatic seeding of distant organs can occur in the very early stages of primary tumor development. Once seeded, these micrometastases may enter a dormant phase that can last decades. Curiously, the surgical removal of the primary tumor can stimulate the accelerated growth of distant metastases, a phenomenon known as metastatic blow-up. Recent clinical evidence has shown that the immune response can have strong tumor promoting effects. In this work, we investigate if the pro-tumor effects of the immune response can have a significant contribution to metastatic dormancy and metastatic blow-up. We develop an ordinary differential equation model of the immune-mediated theory of metastasis. We include both anti- and pro-tumor immune effects, in addition to the experimentally observed phenomenon of tumor-induced immune cell phenotypic plasticity. Using geometric singular perturbation analysis, we derive a rather simple model that captures the main processes and, at the same time, can be fully analyzed. Literature-derived parameter estimates are obtained, and model robustness is demonstrated through a time dependent sensitivity analysis. We determine conditions under which the parameterized model can successfully explain both metastatic dormancy and blow-up. The results confirm the significant active role of the immune system in the metastatic process. Numerical simulations suggest a novel measure to predict the occurrence of future metastatic blow-up in addition to new potential avenues for treatment of clinically undetectable micrometastases.
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Acknowledgements
We would like to thank the referees for their helpful detailed comments. AR gratefully acknowledges support from an Alberta Innovates Graduate Student Scholarship. TH is supported by an NSERC Discovery Grant.
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Appendix
Appendix
Here we prove Proposition 3 and provide additional details concerning the parameter sensitivity analysis reported in Fig. 4. We begin by proving Proposition 3.
Proof
Consider \((u,x(u), y(u))\in {\mathcal {M}}\). We compute the derivatives \(x_{u}(u)\) and \(y_{u}(u)\). We begin with \(x_{u}\):
The sign of \(x_{u}\) depends entirely on the sign of
With the choices we made for \(\lambda (u)\) and ed(u), we arrive at the following chain of equivalent conditions:
The roots to the above quadratic are given by
This gives distinct, real roots (assuming that \(a_{1}b_{1}\ne 0\)) with at least one of them negative. If \(u_{+} > 0\), then we see that \(x_{u} > 0\) for \(u < u_{+}\) and negative otherwise. If \(u_{+} < 0\), then we simply have \(x_{u} < 0\) for all non-negative u.
Next, we consider \(y_{u}\). We show simply that \(y_{u}\) is non-negative, as
The final inequality results from the fact that \((\psi + ed(u)x(u))f'(u) \ge 0\) since f is increasing (A1). Now, we can use the expressions for x(u) and \(x_{u}\), as well as our choice of \(ed(u) = \chi u\) to arrive at
The sign of this expression depends only on the sign of the term
By assumption (A2), the denominator is always negative, and therefore the sign of the above expression is determined by the sign of its numerator. With the choices for ed(u) and \(\lambda (u)\) from Sect. 2.3, the numerator simplifies to
Using the fact that \(a_{1}-\omega < 0\) (A2) guarantees that the quadratic is negative for all \(u \ge 0\), and therefore \(y_{u}(u) \ge 0\) for all \(u \ge 0\). \(\square \)
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Rhodes, A., Hillen, T. Implications of immune-mediated metastatic growth on metastatic dormancy, blow-up, early detection, and treatment. J. Math. Biol. 81, 799–843 (2020). https://doi.org/10.1007/s00285-020-01521-x
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DOI: https://doi.org/10.1007/s00285-020-01521-x
Keywords
- Mathematical oncology
- Cancer modeling
- Metastasis
- Dormancy
- Geometric singular perturbation analysis
- Ordinary differential equations