Abstract
RELEVANCE OF IN VITRO ASSAYS
The
ADAPTIVE RESPONSE
The ability of a low dose of radiation, say 1 to 100 mGy, to ameliorate the effect of a subsequent high radiation dose, say several Gy, is well described for a variety of
SUPPRESSIVE EFFECTS OF LOW DOSES OF LOW-LET RADIATION FOR NEOPLASTIC TRANSFORMATION IN VITRO
Azzam et al. (1996) demonstrated that low doses of 1, 10, and 100 mGy of Co-60 gamma irradiation suppressed the transformation frequency of C3H 10T1/2 cells to levels less than that seen spontaneously. This was subsequently verified for a dose of 10 mGy of Cs-137 gamma radiation in the human hybrid cell assay (Redpath and Antoniono 1998). Full dose-response curves were then developed for a series of low-LET sources including Cs-137 gamma rays, 60 kVp x-rays, 28 kVp x-rays and 232 MeV protons (Redpath et al. 2001, Redpath et al. 2003b, Ko et al. 2004, Elmore et al. 2005, Ko et al. 2006). These dose-response curves were J-shaped, and consistently demonstrated suppression at low doses with thresholds between 100 and 200 mGy. These data have now been combined for analysis. It is realized that while all the data are for low-LET radiation sources, they are for sources of different energy that potentially have different biological effectiveness. However, even given this limitation, it was felt worthwhile to do a combined analysis to see if the low dose-suppression seen in individual studies still holds when that data are combined. Since these experiments were performed over a period of years using different batches of serum, and since serum batch is well known to influence background frequency, this combination had to be done for two groups separated by level (‘low’ and ‘high’) of spontaneous background frequencies. Details of these analyses are shown in Tables 1 and 2 and the corresponding dose-response curves are shown in Figure 1. As is shown, the combined data clearly show a hormetic effect with J-shaped curves for both ‘low’ and ‘high’ background frequencies. The most significant suppression was apparent for the lowest dose cohort (<10 mGy) for both groups and the threshold was between 100 and 200 mGy for both groups. It is of importance to note that the suppressive effect of low doses of low-LET radiation on neoplastic transformation
Summary of low background experiments to date on the effect of low doses of low-LET radiation on the neoplastic transformation of HeLa x skin fibroblast hybrid cells.
Paper 1 = Redpath and Antoniono, 1998; Paper 2 = Redpath et al., 2001; Paper 3 = Redpath et al., 2003; Paper 4 = Ko et al., 2006.
Summary of high backround experiments to date on the effect of low doses of low-LET radiation on the neoplastic transformation of HeLa x skin fibroblast hybrid cells.
Paper 5 = Ko et al., 2004; Paper 6 = Elmore et al., 2005.

Neoplastic transformation frequency as a function of low-LET radiation dose: An analysis of combined data from several independent studies using the human hybrid cell assay. The analyses are stratified by level of spontaneous background into two groups (“low” and high”). For further detail see Tables 1 and 2.
Mechanistic studies indicate that multiple mechanisms are likely involved in a dose-dependent fashion. These include the upregulation of DNA repair, and the hyper-radiosensitivity to radiation-induced cell death of a transformation prone subpopulation (Pant et al. 2003; Redpath, Short et al. 2003a).
Mathematical modeling of our neoplastic transformation data has invoked the concept of protective apoptosis-mediated (PAM) death of cells destined to become neoplastically transformed to account for the protective effect against neoplastic transformation seen at low doses (Schoellenberger et al. 2002, Scott et al. 2003, Scott 2005)
Bystander effects due to factors excreted into the extracellular medium do not appear to play a role in this assay although bystander effects as a consequence of gap junction intracellular communication may do so in a way which partially offsets effects due to an adaptive response (Ko et al. 2006). Recent low dose-rate studies (Elmore et al 2006) have shown that the suppressive effects still exist at low doses and the threshold dose is increased as the dose-rate is decreased.
IN VIVO RESPONSES AT LOW DOSES
Dose-response curves consistent with a threshold effect have also been found in animal studies (Ullrich and Storer 1979) and low doses have been found to increase the latency period for tumor formation in both normal and cancer prone mice (Mitchel et al. 1999; Mitchel et al. 2003). Low dose-rate studies in animals also strongly support the possibility of dose thresholds (Ullrich and Storer 1979). Recent studies have implicated immune activation in the suppression of cancer induction in mice by chronic low dose-rate irradiation (Ina and Sakai 2005a, Ina et al. 2005). In addition, chronic low dose-rate irradiation has been shown to prolong the lifespan of mice genetically engineered to be susceptible to multiple severe diseases, again through immunological activation (Ina and Sakai 2005b).
COMPARISON WITH EPIDEMIOLOGIC FINDINGS
Dose-response curves for radiation induced cancer in adult humans can often be equally well fitted with a threshold, a linear-quadratic or a linear model emphasizing the difficulty in assessing what is really happening at low doses (≤ 100 mSv) from epidemiologic data. Furthermore, when analyses are performed on incidence of (or mortality from) all solid cancers, as is often the case for A-bomb survivors, the variability of response in terms of individual tumor types is obscured. For example, Preston et al. (2003) have shown differences in mortality risk estimates for a variety of radiation-induced cancers. While the data for radiation-induced leukemia in the A-bomb survivors can be fit with a no-threshold model, it is also not possible to rule out the existence of a threshold in the range of 100 mSv (Little and Muirhead 1998). Indeed, the low-dose data from this study are very suggestive of a J-shaped, hormetic-type, dose-response (see UNSCEAR 2000). The same is true for radiation-induced breast cancer in humans. The paper on the pooled analysis of eight cohorts for radiation effects on breast cancer risks represents a valuable compilation of data for high and low dose-rate exposure (Preston et al. 2002). For doses <100 mGy delivered at high dose-rates, the relative risks trend, although not significantly so, to values <1. This is even more apparent for low dose-rate exposures where the relative risks are <1 even for exposures in dose cohorts up to 1000 mGy. Indeed, in one of the original papers on the low-dose cohorts the authors state that “it was the contribution of subjects with breast doses >1 Gy that produced a positive association between dose and subsequent breast cancer risk” (Lundell et al. 1996). This is but one illustration of a general concern that while epidemiologic data can often be fit to a linear no-threshold (LNT) model, such fitting is often heavily driven by the high dose data points and this can tend to obscure what is happening at low doses.
We have previously observed that relative risks for leukemia and breast cancer incidence and mortality agree well with those determined by our
