Page 111 - 20dynamics of cancer
P. 111

6                        Theory I









                              To test hypotheses about how particular biochemical processes affect
                              cancer, we need quantitative predictions for how biochemical changes
                              alter the age of cancer onset. This chapter develops the quantitative
                              theory of progression dynamics.
                                The first section outlines my strategy for presentation. I divide each
                              quantitative analysis into a précis that gives the main points, a mathe-
                              matical presentation of the analytical details, and a set of conclusions.
                                The second section solves the basic model of multistage progression
                              dynamics. In that model, individuals progress through a series of stages
                              with the same constant transition rate from each stage to the next. That
                              model follows the classical analysis of multistage progression, leading
                              to the conclusion that a log-log plot of cancer incidence versus age is
                              approximately linear with a slope of n − 1, where n is the number of
                              rate-limiting steps in progression. The slope of n − 1 measures the ac-
                              celeration of cancer with age. I present an exact solution for the model,
                              which shows that, under some conditions, the incidence curve flattens
                              late in life and drops below the linear approximation, causing a late-life
                              decline in acceleration.
                                The third section analyzes parallel lines of progression within indi-
                              viduals. The models follow the stages of cells or tissue compartments,
                              in which different cells or compartments may be in different stages of
                              progression within the same tissue. The greater the number of indepen-
                              dent lines of progression, the slower progression must be in each line to
                              keep the overall incidence from rising to very high levels. The smaller
                              the number of lines, the more strongly acceleration tends to decline later
                              in life.
                                The fourth section discusses how incidence changes when the rates
                              of transition vary between different stages in progression. The greater
                              the variation in rates of transition, the more strongly the acceleration of
                              cancer tends to decline with advancing age.
                                The fifth section studies what happens when rates of transition vary
                              with age. Rates may increase with age if DNA repair capacity or other
                              checks on cell-cycle integrity decline with age. Alternatively, rates of
   106   107   108   109   110   111   112   113   114   115   116