Positive feedback and angiogenesis in tumor growth control.

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.

[1]  J. Leith,et al.  Secretion rates and levels of vascular endothelial growth factor in clone A or HCT‐8 human colon tumour cells as a function of oxygen concentration , 1995, Cell proliferation.

[2]  J A Adam,et al.  Diffusion regulated growth characteristics of a spherical prevascular carcinoma. , 1990, Bulletin of mathematical biology.

[3]  J. Leith,et al.  Growth factors and growth control of heterogeneous cell populations. , 1993, Bulletin of mathematical biology.

[4]  J. Leith,et al.  Tumor radiocurability: relationship to intrinsic tumor heterogeneity and to the tumor bed effect. , 1990, Invasion & metastasis.

[5]  M. Sporn,et al.  Type beta transforming growth factor: a bifunctional regulator of cellular growth. , 1985, Proceedings of the National Academy of Sciences of the United States of America.

[6]  S. Piantadosi,et al.  A model of growth with first-order birth and death rates. , 1985, Computers and biomedical research, an international journal.

[7]  E. Trucco,et al.  Mathematical models for cellular systems. The von foerster equation. Part II , 1965 .

[8]  Z Bajzer,et al.  Modeling autostimulation of growth in multicellular tumor spheroids. , 1991, International journal of bio-medical computing.

[9]  J. Leith,et al.  Dormancy, regression, and recurrence: towards a unifying theory of tumor growth control. , 1994, Journal of theoretical biology.

[10]  M Gyllenberg,et al.  Quiescence as an explanation of Gompertzian tumor growth. , 1989, Growth, development, and aging : GDA.

[11]  S. Rockwell Effect of host age on the transplantation, growth, and radiation response of EMT6 tumors. , 1981, Cancer research.

[12]  J. Leith,et al.  Comparison of basic fibroblast growth factor levels in clone A human colon cancer cells in vitro with levels in xenografted tumours. , 1995, British Journal of Cancer.

[13]  Robert Rosen Feedforwards and global system failure: a general mechanism for senescence. , 1978, Journal of theoretical biology.

[14]  J. Leith,et al.  Levels of selected growth factors in viable and necrotic regions of xenografted HCT‐8 human colon tumours , 1995, Cell proliferation.

[15]  Lars Holmgren,et al.  Angiostatin: A novel angiogenesis inhibitor that mediates the suppression of metastases by a lewis lung carcinoma , 1994, Cell.

[16]  W. Kendal,et al.  Gompertzian growth as a consequence of tumor heterogeneity , 1985 .

[17]  J. Leith,et al.  Autocrine and paracrine growth factors in tumor growth: a mathematical model. , 1991, Bulletin of mathematical biology.

[18]  I. N. Katz,et al.  Stochastic processes for solid tumor kinetics II. Diffusion-regulated growth , 1974 .

[19]  L Kates,et al.  Multi‐Type Galton‐Watson Process As A Model For Proliferating Human Tumour Cell Populations Derived From Stem Cells: Estimation of Stem Cell Self‐Renewal Probabilities In Human Ovarian Carcinomas , 1986, Cell and tissue kinetics.

[20]  Anita B. Roberts,et al.  Autocrine growth factors and cancer , 1985, Nature.

[21]  H. Moses,et al.  Induction of c-sis mRNA and activity similar to platelet-derived growth factor by transforming growth factor beta: a proposed model for indirect mitogenesis involving autocrine activity. , 1986, Proceedings of the National Academy of Sciences of the United States of America.

[22]  F. Stohlman,et al.  The kinetics of cellular proliferation , 1961 .

[23]  H. Moses,et al.  Transforming growth factors in the regulation of malignant cell growth and invasion. , 1988, Cancer investigation.

[24]  M. Sporn,et al.  Autocrine secretion and malignant transformation of cells. , 1980, The New England journal of medicine.

[25]  G. Papa,et al.  Modification of the volumetric growth responses and steady-state hypoxic fractions of xenografted DLD-2 human colon carcinomas by administration of basic fibroblast growth factor or suramin. , 1992, British Journal of Cancer.

[26]  James P. Freyer,et al.  Tumor growthin vivo and as multicellular spheroids compared by mathematical models , 1994, Bulletin of mathematical biology.

[27]  H. Moses,et al.  Growth factors and cancer. , 1986, Cancer research.

[28]  Roger S. Day,et al.  A branching-process model for heterogeneous cell populations , 1986 .

[29]  Z Bajzer,et al.  Quantitative aspects of autocrine regulation in tumors. , 1990, Critical reviews in oncogenesis.

[30]  Miljenko Marušić,et al.  PREDICTION POWER OF MATHEMATICAL MODELS FOR TUMOR GROWTH , 1993 .

[31]  J. Mead,et al.  Transforming growth factor alpha may be a physiological regulator of liver regeneration by means of an autocrine mechanism. , 1989, Proceedings of the National Academy of Sciences of the United States of America.

[32]  H. M. Byrne,et al.  Mathematical models for tumour angiogenesis: Numerical simulations and nonlinear wave solutions , 1995 .

[33]  I. N. Katz,et al.  Stochastic processes for solid tumor kinetics I. surface-regulated growth☆ , 1974 .

[34]  Vinay G. Vaidya,et al.  An application of the non-linear bifurcation theory to tumor growth modeling. , 1991, International journal of bio-medical computing.