Skip to main content
Log in

Immune surveillance and neoplasia—1 a minimal mathematical model

  • Published:
Bulletin of Mathematical Biology Aims and scope Submit manuscript

Abstract

A deterministic predator-prey model is presented for describing the dynamics of a solid tumor in the presence of a specifically reactive lymphocyte population which is stimulated by, and antagonistic to, the tumor. The qualitative behavior of the solutions is developed and briefly compared to the results of transplantation experiments. Although the model is primitive, it leads to predictions that are in general agreement with observation and intuitive expectations. In particular, it is found that: (1) very low levels of transplanted tumor will not survive in the recipient. (2) At somewhat higher levels, tumor growth will be uncontrolled in the syngeneic recipient. However, immune intervention if early enough, can lead to control and elimination of the tumor. (3) At still higher levels of transplanted tumor, no amount of immune intervention will be effective in controlling the tumor. (4) If the recipients immune system is suppressed prior to transplantation, or is debilitated for any reason, the chance that the tumor will grow increases. (5) If the recipients immune system is stimulated prior to transplantation, the chance of tumor survival decreases. (6) The survival of the tumor is much more sensitive to changes in tumor parameters (for example, antigenicity) than in lymphocyte parameters. In addition it makes the unintuitive prediction that (7) There areisolated instances under which anincrease in the number of lymphocytes canincrease the chance of tumor survival.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Literature

  • Allison, A. C. 1970. “Tumor Development following Immunosuppression.”Proc. R. Soc. Med.,63, 1077–1088.

    Google Scholar 

  • Armitage, P. and R. Doll. 1961. “Stochastic Models for Carcinogenesis.”Proc. of the Fourth Berkeley Symposium on Mathl. Statist. and Probability,4, pp. 19–38. Berkeley: University of California Press.

    Google Scholar 

  • Bell, G. I. 1973. “Predator Prey Equations Stimulating and Immune Response.”Mathl. Biosci.,16, 291–314.

    Article  MATH  Google Scholar 

  • Burnet, F. M. 1970. “The Concept of Immunological Surveillance.”Prog. exp. Tumor Res..,13, 1–23.

    Google Scholar 

  • —, 1971. “Immunological Surveillance in Neoplasia.”Transplant Res.,7, 3–25.

    Google Scholar 

  • Davis, B. D., R. Dulbecco, H. N. Eisen, H. S. Ginsberg, W. B. Wood and M. McCarty, 1974. InMicrobiology, ch. 14–21. New York: Harper and Row.

    Google Scholar 

  • DeLisi C. 1976. “Immunological Reactions to Malignancies: Some Additional Sources of Complexity.” InMathemathical Aspects of Environmental Epidemiology, Ed. A. Wittemore, in press.

  • Good, R. A. and J. Finstad. 1969. “Essential Relationship Between the Lymphoid System, Immunity and Malignancy.”Natn. Cancer Inst. Monogr.,31, 41–58.

    Google Scholar 

  • Minorsky, N. 1962.Nonlinear Oscillations. New York: Van Nostrand.

    MATH  Google Scholar 

  • Neyman, J. and E. L. Scott. 1967. “Statistical Aspects of the problem of carcinogeneisis. InProc. Fifth Berkeley Symposium on Mathl. Statist. and Probability,4, 745–776.

  • Prehn, R. T. 1971. “Prospectives in Oncogenesis: Does immunity stimulate or inhibit neoplasia?”J. Reticuloendothel. Soc.,10, 1–18.

    Google Scholar 

  • Smith, R. T. and M. Lamdy. 1970.Immune Surveillance, New York: Academic Press.

    Google Scholar 

  • Takeda, K. 1969.Immunology of Cancer, Sapporo, Japan: Hokkaido Univ. Press.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

DeLisi, C., Rescigno, A. Immune surveillance and neoplasia—1 a minimal mathematical model. Bltn Mathcal Biology 39, 201–221 (1977). https://doi.org/10.1007/BF02462859

Download citation

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02462859

Keywords

Navigation