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Investigating the age-specific cancer rates in relation to radiation exposure, challenging common views on cancer risk and analyzing mutation accumulation over time. This study reveals how cancer rates change with age and radiation exposure, shedding light on the complex interplay between mutations and carcinogenesis.
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Age-Time Patterns of Radiation-Related Cancer Risk Donald A. Pierce Dale L. Preston RERF Hiroshima Michael Vaeth Aarhus University Denmark
Genesis of Considerations Here • Initially, most thought an single exposure would cause a “wave” of excess cancer, vanishing after 20 years or so • But by about 1985, we found that age-specific cancer rates were elevated for most or all of lifetime • Why should this be? Insufficient attention was given to the implications, for both radiation-related cancer and carcinogenesis in general
1980’s and Still-Common Viewof the Relative Risk (ERR is the % increase in age-specific cancer rate)
But the Current Understanding is More as Shown Here Much of so-called exposure-age effect was due to variation with attained age
Reasons Why ERR Should Look Like This Considering malignancy of a cell as due to accumulated mutations, suppose as a substantial idealization that: • The spontaneous rate of the next mutation in a cell depends arbitrarily on its mutational status, but not otherwise on age • A brief radiation exposure causes mutations, i. e. momentarily increasing all relevant mutation rates by a factor
Implication of This • Cancer rate following exposure to dose d is • Aside from the idealized assumptions, this describes remarkably well the actual radiation cancer risks for A-bomb survivors • The age increase is about 2-3 days per mSv
Simplest Evaluation of the Age-Increment Description The age increment removes the most basic evidence of a radiation effect on cancer rates
Same Results by Exposure Age Effect seen here is birth cohort variation in background cancer rates
Implications for Relative Risk • The relation involves no assumption regarding some number of required mutations • But for whatever reason, during most of life natural cancer rates take form • Thus the RR could be expected to take form ERR
Age-Change Result vs Description Theoretical result has no exposure age effect, an important issue with a variety of explanations
Several Refinements Will Explainthe Modest Age-at-Exposure Effect • Slight improvement in characterizing birth cohort variations in background rates • Allowing that part of the birth cohort effect acts additively with radiation • Modest increase at young ages of mutation rates per unit time
Effect of Slightly Higher Mutation Rates at Young Ages Solid: predicted Dashed: observed Mutation rate variation
More Immediate Effects • Those results are for well after end of exposure (following latent period between malignant cell and cancer) • Exposure could cause final required mutation and allowing for this we have (but with latent period smoothing) • This added factor can be important
Implications for Radiation & Cancer • In this way of thinking, radiation does not “induce” cancers, but contributes to the natural process • can explain very simply why naturally why risk persists for lifetime, but ERR decreases with age • The “cancer age increase” interpretation can be useful, for analysis and communication • Suggests substantial commonality between radiation-induced and spontaneous mutations
Implications for Carcinogenesis in General of any Multi-Mutation Model • Accumulation of required mutations probably begins at a very early age • Very large numbers of cells would acquire the first several mutations, and thus this would be quite stable from person-to-person • Most of the person-to-person variation would be due to the long waiting time for the final one or two of required mutations
You Can Find Two Papers on This At http://home.att.ne.jp/apple/pierce/