Page 170 - 20dynamics of cancer
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GENETICS OF PROGRESSION                                     155


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                              Figure 8.6  Survival of wild-type TRAMP mice versus Pten heterozygous TRAMP
                              mice that have one Pten allele knocked out. Kwabi-Addo et al. (2001) ascribed
                              death in all 63 mice shown in these plots to either a large primary tumor or
                              to metastatic disease. Survival plots of this sort are often called Kaplan-Meier
                              plots.

                                Lab studies rarely analyze the quantitative patterns of cancer onset
                              in the way that I did in the previous sections. Instead, the analysis typ-
                              ically emphasizes the qualitative pattern of whether certain combina-
                              tions of mutations cause earlier or later cancer onset than do other
                              combinations. For example, Figure 8.6 compares the survival of two
                              mouse strains (Kwabi-Addo et al. 2001). One strain has the TRAMP geno-
                              type that predisposes mice to develop prostate cancer. The other strain
                              carries the same genes that predispose to prostate cancer, but also is
                              heterozygous at the Pten locus, with one allele knocked out. Pten mu-
                              tations are common in many cancers, including cancers of the prostate.
                              The figure shows that the Pten heterozygotes progress more rapidly to
                              cancer.
                                Experimenters usually plot results from these studies as the fraction
                              of mice surviving to a particular age, as in Figure 8.6. In this section,
                              I show how to transform such data into age-specific rates of cancer in-
                              cidence, allowing comparison of relative rates for different treatments.
                              This transformation to age-specific rates allows one to test particular
                              hypotheses about the dynamics of cancer onset with the limited sample
                              sizes typical of lab studies. I illustrate the method by analyzing the age
                              of cancer onset in different DNA mismatch repair genotypes (Frank et al.
                              2005).
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