Cytogenetic Damage Induced by Radioiodine Therapy: A Follow-Up Case Study.

The risk of toxicity attributable to radioiodine therapy (RIT) remains a subject of ongoing research, with a whole-body dose of 2 Gy proposed as a safe limit. This article evaluates the RIT-induced cytogenetic damage in two rare differentiated thyroid cancer (DTC) cases, including the first follow-up study of a pediatric DTC patient. Chromosome damage in the patient's peripheral blood lymphocytes (PBL) was examined using conventional metaphase assay, painting of chromosomes 2, 4, and 12 (FISH), and multiplex fluorescence in situ hybridization (mFISH). Patient 1 (female, 1.6 y.o.) received four RIT courses over 1.1 years. Patient 2 (female, 49 y.o.) received 12 courses over 6.4 years, the last two of which were examined. Blood samples were collected before and 3-4 days after the treatment. Chromosome aberrations (CA) analyzed by conventional and FISH methods were converted to a whole-body dose accounting for the dose rate effect. The mFISH method showed an increase in total aberrant cell frequency following each RIT course, while cells carrying unstable aberrations predominated in the yield. The proportion of cells containing stable CA associated with long-term cytogenetic risk remained mostly unchanged during follow-up for both patients. A one-time administration of RIT was safe, as the threshold of 2 Gy for the whole-body dose was not exceeded. The risk of side effects projected from RIT-attributable cytogenetic damage was low, suggesting a good long-term prognosis. In rare cases, such as the ones reviewed in this study, individual planning based on cytogenetic biodosimetry is strongly recommended.

Cytogenetic biodosimetry and dose-rate effect after radioiodine therapy for thyroid cancer.

This study set out to investigate chromosomal damage in peripheral blood lymphocytes of thyroid cancer patients receiving 131I for thyroid remnant ablation or treatment of metastatic disease. The observed chromosomal damage was further converted to the estimates of whole-body dose to project the adverse side effects. Chromosomal aberration analysis was performed in 24 patients treated for the first time or after multiple courses. Blood samples were collected before treatment and 3 or 4 days after administration of 2-4 GBq of 131I. Both conventional cytogenetic and chromosome 2, 4 and 12 painting assays were used. To account for dose-rate effect, a dose-protraction factor was applied to calculate the whole-body dose. The mean dose was 0.62 Gy (95% CI: 0.44-0.77 Gy) in the subgroup of patients treated one time and 0.67 Gy (95% CI: 0.03-1.00 Gy) in re-treated patients. These dose estimates are about 1.7-fold higher than those disregarding the effect of exposure duration. In re-treated patients, the neglected dose-rate effect can result in underestimation of the cumulative whole-body dose by the factor ranging from 2.6 to 6.8. Elevated frequency of chromosomal aberrations observed in re-treated patients before radioiodine therapy allows estimation of a cumulative dose received from all previous treatments.

Cytogenetic effects of radioiodine therapy: a 20-year follow-up study.

The purpose of this study was to compare cytogenetic data in a patient before and after treatment with radioiodine to evaluate the assays in the context of biological dosimetry. We studied a 34-year-old male patient who underwent a total thyroidectomy followed by ablation therapy with (131)I (19.28 GBq) for a papillary thyroid carcinoma. The patient provided blood samples before treatment and then serial samples at monthly intervals during the first year period and quarterly intervals for 5 years and finally 20 years after treatment. A micronucleus assay, dicentric assay, FISH method and G-banding were used to detect and measure DNA damage in circulating peripheral blood lymphocytes of the patient. The results showed that radiation-induced cytogenetic effects persisted for many years after treatment as shown by elevated micronuclei and chromosome aberrations as a result of exposure to (131)I. At 5 years after treatment, the micronucleus count was tenfold higher than the pre-exposure frequency. Shortly after the treatment, micronucleus counts produced a dose estimate of 0.47 ± 0.09 Gy. The dose to the patient evaluated retrospectively using FISH-measured translocations was 0.70 ± 0.16 Gy. Overall, our results show that the micronucleus assay is a retrospective biomarker of low-dose radiation exposure. However, this method is not able to determine local dose to the target tissue which in this case was any residual thyroid cells plus metastases of thyroidal origin.

The response of tissue-equivalent proportional counters to heavy ions.

The paper presents a theoretical model for the response of a tissue-equivalent proportional counter (TEPC) irradiated with charged particles. Heavy ions and iron ions in particular constitute a significant part of radiation in space. TEPCs are used for all space shuttle and International Space Station (ISS) missions to estimate the dose and radiation quality (in terms of lineal energy) inside spacecraft. The response of the tissue-equivalent proportional counters shows distortions at the wall/cavity interface. In this paper, we present microdosimetric investigation using Monte Carlo track structure calculations to simulate the response of a TEPC to charged particles of various LET (1 MeV protons, 2.4 MeV alpha particles, 46 MeV/nucleon 20Ne, 55 MeV/nucleon 20Ne, 45 MeV/nucleon 40Ar, and 1.05 GeV/nucleon 56Fe). Data are presented for energy lost and energy absorbed in the counter cavity and wall. The model calculations are in good agreement with the results of Rademacher et al. (Radiat. Res. 149, 387-389, 1998), including the study of the interface between the wall and the sensitive region of the counter. It is shown that the anomalous response observed at large event sizes in the experiment is due to an enhanced entry of secondary electrons from the wall into the gas cavity.

Biophysical model of the radiation-induced bystander effect.

PURPOSE: To construct a quantitative model of the radiation-induced bystander effect based on diffusion-type spreading of bystander signal communication between the hit and non-hit cells. Cell inactivation and induced oncogenic transformation by broad- and microbeam irradiation systems are considered. MATERIALS AND METHODS: The biophysical model ByStander Diffusion Modelling (BSDM) postulates that the oncogenic bystander response observed in non-hit cells originates from specific signals received from inactivated cells. The bystander signals are assumed to be protein-like molecules spreading in the culture media by Brownian motion. The bystander signals are assumed to switch cells into a state of cell death (apoptotic/mitotic/necrosis) or induced oncogenic transformation modes. RESULTS: The bystander cell survival observed after treatment with the irradiated conditioned medium (ICM) using the broad-beam and the microbeam irradiation modalities were analysed and interpreted in the framework of the BSDM model. The model predictions for cell inactivation and induced oncogenic transformation frequencies agree well with observed data from micro and broad-beam experiments. In the case of irradiation with constant fraction of cells, transformation frequency for the bystander effect increases with increasing radiation dose. CONCLUSIONS: Bystander modelling based on diffusion of signals is in good agreement with experimental cell survival data and induced oncogenic transformation frequencies. The data confirm the protein-like nature of the bystander signal. Linear extrapolation of the cell response to low doses of radiation might underestimate carcinogenic risk, for example for domestic radon hazards, if the contribution from the bystander effect is neglected. The BSDM predicts that the bystander effect cannot be interpreted solely as a low-dose effect phenomenon. It is shown that the bystander component of radiation response can increase with dose and be observed at high doses as well as at low doses. The validity of this conclusion is supported by analysis of experimental results from high-linear energy transfer microbeam experiments.

A theoretical approach to the role and critical issues associated with bystander effect in risk estimation.

This paper presents a quantitative biophysical model of the radiation-induced bystander effect. The principle aim of the bystander model is to establish whether bystander signal can be associated with low molecular weight factors that are transmitted by diffusion type processes in the medium surrounding the recipient cells. Cell inactivation and induced oncogenic transformation by microbeam and broadbeam irradiation systems were considered. The biophysical model postulates that the oncogenic bystander response observed in non-hit cells originates from specific signals received from inactivated cells. The bystander signals are assumed to be protein-like molecules spreading in the culture media by Brownian motion. The bystander signals are assumed to switch cells into a state of cell death (apoptotic/mitotic/necrosis) or induced oncogenic transformation modes. The bystander cell survival observed after treatment with the irradiated conditioned medium using broadbeam and the microbeam irradiation modalities were analysed and interpreted in the framework of the Bystander Diffusion Model (BSDM). The model predictions for cell inactivation and induced oncogenic transformation frequencies agree well with observed data from microbeam and broadbeam experiments. In the case of irradiation with constant fraction of cells, transformation frequency for the bystander effect increases with increasing radiation dose. The BSDM predicts that the bystander effect cannot be interpreted solely as a low-dose effect phenomenon. It is shown that the bystander component of radiation response can increase with dose and can be observed at high doses as well as low doses. The validity of this conclusion is supported by analysis of experimental results from high-LET microbeam experiments.

Computer modelling of radiation-induced bystander effect.

Radiation-induced genomic instability and bystander effects are now well established consequences of exposure of living cells to ionising radiation. It has been observed that cells not directly hit by radiation tracks may still exhibit radiation effects. We present a quantitative modelling of the radiation-induced bystander effect based on a diffusion model of spreading the bystander signal. The model assumes the bystander factor to be aprotein of low molecular weight, given out by the hit cell, diffusing in the medium and reacting with non-hit cells. The model calculations successfully predict the results of cell survival in an irradiated conditioned medium. The model predicts the shape of dose-effect relationship for cell survival and oncogenic transformation induced by broad-beam and micro-beam irradiation by alpha-particles.