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Non-Targeted Effects and the Dose Response for Heavy Ion Tumorigenesis

Non-Targeted Effects and the Dose Response for Heavy Ion Tumorigenesis L.J. Chappell and F.A. Cucinotta USRA and NASA JSC

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Non-Targeted Effects and the Dose Response for Heavy Ion Tumorigenesis

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  1. Non-Targeted Effects and the Dose Response for Heavy Ion Tumorigenesis L.J. Chappell and F.A. Cucinotta USRA and NASA JSC • Hypothesis: The heavy ion dose-response for Harderian gland tumors in mice reveals linear and non-linear components representative of targeted DNA damage and non-targeted effects (NTE). Statistical analysis can be used to design new studies of the optimal number of mice and dose level to validate the NTE model. • Methods: The Harderian Gland data of Alpen et al. was re-analyzed using non-linear least square regression to simultaneously fit dose response curves for 7 ions with LET’s ranging from 0.4 to 950 keV/micron. Model ranking was performed using the adjusted R2 ratio, the Akaike information criteria (AIC) and Bayesian information criterion (BIC) (Schwarz). Power analysis was then used to consider the design of new experiments to detect NTE at low dose for a variety of radiation qualities and different background tumor incidences. • Research Description: • Uncertainty Reduction • Discovery/Description Chappell and Cucinotta, Non-Targeted Effects...

  2. Results The NTE model provides an improved fit over the TE model suggesting NTE dominate at low Fluence (<one ion traverses a cell nucleus) and large RBE at low dose Experimental design to detect a NTE was optimal with 4 doses equally spaced below a maximal dose where “bending” due to cell sterilization was < 2%. Ex. at 100 keV/micron (0.03, 0.065, 0.13, 0.26 Gy) Table: Sensitivity to detect NTE with 80% power to the background %-Prevalence (P0). **Sample sizes needed are smaller when results from several ions combined Chappell and Cucinotta, Non-Targeted Effects...

  3. Blue Bullets (Progress) • Applying a NTE model motivated by the dose response observed for bystander effects and genomic instability in cell culture, we show that the NTE model provides a superior fit to the dose response for tumors in mice based on several model ranking tests. These results add important empirical evidence in support of the NTE model based on in vivo data for tumor responses. • We were able to fit models for the LET dependence of tumors over a broad range from protons to heavy ions and describe a dose dependent RBE applicable to low dose exposures. • Power analysis based on the Harderian gland data suggest the optimal number of mice to be studied for future dose response experiments and suggest sample size reductions will occur when results for several radiation qualities are combined into a single model. Chappell and Cucinotta, Non-Targeted Effects...

  4. Red Bullets(Gaps in Progress and Knowledge) • The relative contribution to cancer risks from targeted effects and non-targeted effects remains elusive with too few experiments designed to test the shape of the dose response at low doses (<0.3 Gy) applicable to space missions. • Only a few murine model tumors have been studied with only a few ion types. The paucity of data limits the building and testing of models of cancer risk from space radiation. • The usage of human cell culture models in 2D or 3D is needed to support the applicability of murine models to human risk prediction, however much work remains in making the necessary connections. Of importance is the need for more expansive data set on radiation quality at a variety of low doses to understand the shape of the dose response for cancer processes induced by heavy ions. Chappell and Cucinotta, Non-Targeted Effects...

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