Positive feedback and angiogenesis in tumor growth control

被引:0
作者
Michelson S. [1 ]
Leith J.T. [2 ]
机构
[1] Res. Support and Info. Services, Roche Bioscience, Palo Alto, CA 94303
[2] Radiobiology Laboratories, Brown University, Box G-B004, Providence
关键词
Vascular Endothelial Growth Factor; Phase Plane; Tumor Growth Control; Angiogenic Signal; Proliferate Compartment;
D O I
10.1007/BF02462002
中图分类号
学科分类号
摘要
In vivo tumor growth data from experiments performed in our laboratory suggest that basic fibroblast growth factor (bFGF) and vascular endothelial growth factor (VEGF) are angiogenic signals emerging from an up-regulated genetic message in the proliferating rim of a solid tumor in response to tumor-wide hypoxia. If these signals are generated in response to unfavorable environmental conditions, i.e. a decrease in oxygen tension, then the tumor may play an active role in manipulating its own environment. We have idealized this type of adaptive behavior in our mathematical model via a parameter which represents the carrying capacity of the host for the tumor. If that model parameter is held constant, then environmental control is limited to tumor shape and mitogenic signal processing. However, if we assume that the response of the local stroma to these signals is an increase in the host's ability to support an ever larger tumor, then our models describe a positive feedback control system. In this paper, we generalize our previous results to a model including a carrying capacity which depends on the size of the proliferating compartment in the tumor. Specific functional forms for the carrying capacity are discussed. Stability criteria of the system and steady state conditions for these candidate functions are analyzed. The dynamics needed to generate stable tumor growth, including countervailing negative feedback signals, are discussed in detail with respect to both their mathematical and biological properties.
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页码:233 / 254
页数:21
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共 36 条
[1]  
Adam J.A., Megalakis S.A., Diffusion regulated growth characteristics of the spherical prevascular carcinoma, Bull. Math. Biol., 52, pp. 549-582, (1990)
[2]  
Bajzer Z., Vuk-Pavlovic S., Quantitative aspects of autocrine regulation in tumors, Crit. Rev. Oncogenesis, 2, pp. 53-73, (1990)
[3]  
Byrne H.M., Chaplain M.A.J., Mathematical models for tumour angiogenesis: Numerical simulations and nonlinear wave solutions, Bull. Math. Biol., 57, pp. 461-486, (1995)
[4]  
Ciampi A., Kates L., Buick R., Kruikov Y., Till J.E., Multi-type Galton-Watson process as a model for proliferating human tumour cell populations derived from stem cells: Estimation of the stem cell self-renewal probabilities in human ovarian carcinomas, Cell Tissue Kinet., 19, pp. 129-140, (1986)
[5]  
Day R.S., A branching process model for heterogeneous cell populations, Math. Biosci., 78, pp. 73-90, (1986)
[6]  
Goustin A.S., Loef E.B., Shipley G.D., Moses H.L., Growth factors and cancer, Cancer Res., 46, pp. 1015-1029, (1986)
[7]  
Gyllenberg M., Webb G.F., Quiescence As An Explanation of Gompertzian Tumor Growth, (1989)
[8]  
Heppner G.H., Tumor heterogeneity, Cancer Res., 44, pp. 2259-2265, (1984)
[9]  
Kendal W.S., Gompertzian growth as a consequence of tumor heterogeneity, Math Biosci., 73, pp. 103-107, (1985)
[10]  
Keski-Oja J., Postlethwaite A.E., Moses H.L., Transforming growth factors in the regulation of malignant cell growth and invasion, Cancer Investigations, 6, pp. 705-724, (1988)