An organizational approach for the assessment of DNA adduct data in risk assessment: case studies for aflatoxin B1, tamoxifen and vinyl chloride.

The framework analysis previously presented for using DNA adduct information in the risk assessment of chemical carcinogens was applied in a series of case studies which place the adduct information into context with the key events in carcinogenesis to determine whether they could be used to support a mutagenic mode of action (MOA) for the examined chemicals. Three data-rich chemicals, aflatoxin B1 (AFB1), tamoxifen (Tam) and vinyl chloride (VCl) were selected for this exercise. These chemicals were selected because they are known human carcinogens and have different characteristics: AFB1 forms a unique adduct and human exposure is through contaminated foods; Tam is a pharmaceutical given to women so that the dose and duration of exposure are known, forms unique adducts in rodents, and has both estrogenic and genotoxic properties; and VCl, to which there is industrial exposure, forms a number of adducts that are identical to endogenous adducts found in unexposed people. All three chemicals produce liver tumors in rats. AFB1 and VCl also produce liver tumors in humans, but Tam induces human uterine tumors, only. To support a mutagenic MOA, the chemical-induced adducts must be characterized, shown to be pro-mutagenic, be present in the tumor target tissue, and produce mutations of the class found in the tumor. The adducts formed by AFB1 and VCl support a mutagenic MOA for their carcinogenicity. However, the data available for Tam shows a mutagenic MOA for liver tumors in rats, but its carcinogenicity in humans is most likely via a different MOA.

Creating context for the use of DNA adduct data in cancer risk assessment: II. Overview of methods of identification and quantitation of DNA damage.

The formation of deoxyribonucleic acid (DNA) adducts can have important and adverse consequences for cellular and whole organism function. Available methods for identification of DNA damage and quantification of adducts are reviewed. Analyses can be performed on various samples including tissues, isolated cells, and intact or hydrolyzed (digested) DNA from a variety of biological samples of interest for monitoring in humans. Sensitivity and specificity are considered key factors for selecting the type of method for assessing DNA perturbation. The amount of DNA needed for analysis is dependent upon the method and ranges widely, from <1 microg to 3 mg. The methods discussed include the Comet assay, the ligation-mediated polymerase reaction, histochemical and immunologic methods, radiolabeled ((14)C- and (3)H-) binding, (32)P-postlabeling, and methods dependent on gas chromatography (GC) or high-performance liquid chromatography (HPLC) with detection by electron capture, electrochemical detection, single or tandem mass spectrometry, or accelerator mass spectrometry. Sensitivity is ranked, and ranges from approximately 1 adduct in 10(4) to 10(12) nucleotides. A brief overview of oxidatively generated DNA damage is also presented. Assay limitations are discussed along with issues that may have impact on the reliability of results, such as sample collection, processing, and storage. Although certain methodologies are mature, improving technology will continue to enhance the specificity and sensitivity of adduct analysis. Because limited guidance and recommendations exist for adduct analysis, this effort supports the HESI Committee goal of developing a framework for use of DNA adduct data in risk assessment.

Demonstration of a radiation-induced bystander effect for low dose low LET beta-particles.

Radiation-induced bystander mutagenesis at a relatively low dose range was investigated using low LET beta-particles in a three-dimensional cell culture model. CHO cells were labeled with 0, 0.5, 1.0 or 5.0 muCi tritiated thymidine ((3)HdTTP) for 12 h and subsequently incubated with A(L) cells for 24 h at 11 degrees C. The cell mixture was centrifuged to produce a spheroid of 4 x 10(6) cells of which there was five times more A(L) than CHO cells. The short-range beta-particles emitted by (3)HdTTP result in self-irradiation of labeled CHO cells, thus biological effects on neighboring A(L) cells can be attributed to the bystander response. To evaluate such response, non-labeled bystander A(L) cells were isolated from among labeled CHO cells and studied independently for survival and mutagenesis. Treatment of CHO cells with (3)HdTTP resulted in a dose-dependent increase in bystander mutation incidence among neighboring A(L) cells compared to controls. In addition, multiplex PCR analysis revealed the types of mutants to be significantly different from those of spontaneous origin. These data provide evidence that low dose low LET radiation can induce bystander mutagenesis in a three-dimensional model. The results of this study will address the relevant issues of actual target size and radiation quality, and are likely to have a significant impact on our current understanding of radiation risk assessment.

Assessment of low linear energy transfer radiation-induced bystander mutagenesis in a three-dimensional culture model.

A three-dimensional cell culture model composed of human-hamster hybrid (A(L)) and Chinese hamster ovary (CHO) cells in multicellular clusters was used to investigate low linear energy transfer (LET) radiation-induced bystander genotoxicity. CHO cells were mixed with A(L) cells in a 1:5 ratio and briefly centrifuged to produce a spheroid of 4 x 10(6) cells. CHO cells were labeled with tritiated thymidine ([3H]dTTP) for 12 hours and subsequently incubated with A(L) cells for 24 hours at 11 degrees C. The short-range beta-particles emitted by [3H]dTTP result in self-irradiation of labeled CHO cells; thus, biological effects on neighboring A(L) cells can be attributed to the bystander response. Nonlabeled bystander A(L) cells were isolated from among labeled CHO cells by using a magnetic separation technique. Treatment of CHO cells with 100 microCi [3H]dTTP resulted in a 14-fold increase in bystander mutation incidence among neighboring A(L) cells compared with controls. Multiplex PCR analysis revealed the types of mutants to be significantly different from those of spontaneous origin. The free radical scavenger DMSO or the gap junction inhibitor Lindane within the clusters significantly reduced the mutation incidence. The use of A(L) cells that are dominant negative for connexin 43 and lack gap junction formation produced a complete attenuation of the bystander mutagenic response. These data provide evidence that low LET radiation can induce bystander mutagenesis in a three-dimensional model and that reactive oxygen species and intercellular communication may have a modulating role. The results of this study will address the relevant issues of actual target size and radiation quality and are likely to have a significant effect on our current understanding of radiation risk assessment.

Genotoxicity in the eyes of bystander cells.

The controversial use of a linear, no threshold extrapolation model for low dose risk assessment has become even more so in light of the recent reports on the bystander phenomenon. The answer to the question as to which of the two phenomena, bystander versus adaptive response, is more important has practical implication in terms of low dose radiation risk assessment. In this review, genotoxicity is used as an endpoint to introduce the two phenomena, provide some insight into the mechanisms of bystander effect and to bridge the two low dose phenomena which operate in opposite directions: the bystander effect tends to exaggerate the effect at low doses, by communicating damage from hit to non-hit cells whereas the adaptive response confers resistance to a subsequent challenging dose by an initial low priming dose.