期刊
RADIATION AND ENVIRONMENTAL BIOPHYSICS
卷 48, 期 3, 页码 275-286出版社
SPRINGER
DOI: 10.1007/s00411-009-0231-2
关键词
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资金
- National Cancer Institute [5T32-CA009529]
- Department Of Energy [DE-FG02-03ER63668]
- National Institutes of Health [CA78496, P41 EB002033-09, P01 CA-49062]
- National Aeronautics and Space Administration [03-OBPR-07-00590065]
- National Aeronautics and Space Administration NSCOR [NNJ04HJ12G/NNJ06HA28G]
As the number of cancer survivors grows, prediction of radiotherapy-induced second cancer risks becomes increasingly important. Because the latency period for solid tumors is long, the risks of recently introduced radiotherapy protocols are not yet directly measurable. In the accompanying article, we presented a new biologically based mathematical model, which, in principle, can estimate second cancer risks for any protocol. The novelty of the model is that it integrates, into a single formalism, mechanistic analyses of pre-malignant cell dynamics on two different time scales: short-term during radiotherapy and recovery; long-term during the entire life span. Here, we apply the model to nine solid cancer types (stomach, lung, colon, rectal, pancreatic, bladder, breast, central nervous system, and thyroid) using data on radiotherapy-induced second malignancies, on Japanese atomic bomb survivors, and on background US cancer incidence. Potentially, the model can be incorporated into radiotherapy treatment planning algorithms, adding second cancer risk as an optimization criterion.
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