Page 186 - 20dynamics of cancer
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CARCINOGENS                                                 171

                              discrimination, it does provide a good point of departure for figuring
                              out how to construct informative comparative tests. I delay discussion
                              of tests until later in this chapter.

                              CARCINOGENS AFFECT SOME STAGES BUT NOT OTHERS
                                Suppose, as discussed above, that a carcinogen increases the rate of
                              transition between stages to u(1 + bd), where d is dosage and b trans-
                              lates dose level into an increment in transition rate. If, for certain stages
                              in progression, moderate to large doses significantly increase the tran-
                              sition rate, then bd is much larger than one, and the transition rate
                              becomes u(1 + bd) ≈ ubd. For other stages not much affected by the
                              carcinogen, bd is small, and u(1 + bd) ≈ u.
                                If a large increase in transition rate occurs for r of the stages, and
                              the carcinogen has little effect on the other n − r transitions, then as I
                              showed in Eq. (9.3) above,
                                                                 r
                                                                   n
                                                      CI (τ) ≈ cd τ ,
                                                                                           r
                              with the cumulative incidence rate rising as the rth power of dose, d ,
                                                           n
                              and the nth power of duration, τ .
                                This explanation easily fits any case in which incidence increases ex-
                              ponentially with dosage and duration. However, the mathematics of
                              curves provides no reason to believe that the number of steps affected
                              by carcinogens can be inferred by measuring the empirical fit to the
                              exponent on dosage.

                              THE MATHEMATICS OF CURVES: CARCINOGENS AFFECT ALL STAGES
                                Consider the most famous dose-response study: smoking among Brit-
                              ish doctors. Figure 9.1 shows the fit given by Doll and Peto (1978), in
                              which the highest exponent of dose is two. From that fit, many authors
                              have stated that lung cancer depends on the second power of dose, and
                              thus the carcinogens in cigarette smoke affect only two stages in lung
                              cancer progression. Against that explanation, the dashed curve in Fig-
                              ure 9.1 illustrates my calculation that a nearly equivalent fit for incidence
                              can be obtained with a higher power of dose, in this case proportional
                                          5
                              to (1 + d/46) .
                                The fact that one can fit a higher power of dose to those lung cancer
                              data certainly does not mean that the carcinogens in cigarette smoke
                              affect five stages of carcinogenesis rather than two. It does mean that
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