Mutagen sensitivity and the repair process of the lymphocytes in the Werner syndrome

In this study, we analyzed the cell cycle kinetics, the radiosensitivity, the repair process and the induction of sister chromatid exchanges in lymphocytes from the Werner's syndrome. When compared to a normal population, no statistical significant differences were observed for the cell cycle kinetics and the radiosensitivity. However, differences exist with respect to the repair process and lymphocytes from the Werner's syndrome are much more sensitive to the induction of SCE's.     

Mutations in the BRCA1 gene: implications of inter-population differences for predicting the risk of radiation-induced breast cancers

The effects of cancer predisposition and increased tumorigenic radiosensitivity of the predisposed genotypes on radiation cancer risks (in the general population and in sisters and first cousins of affected probands) are studied using an autosomal dominant model of cancer predisposition and radiosensitivity. The model assumes that the predisposing alleles, which confer enhanced tumorigenic radiosensitivity, are incompletely penetrant. In addition, the model also allows for sporadic cancers, unrelated to the predisposing locus. The predictions of the model are illustrated using current estimates of BRCA1 mutant gene frequencies; the estimates of the strength of predisposition and radiosensitivity differentials used are based on animal and human studies. It is shown that, unless both the strength of predisposition and radiosensitivity differential are large (say, > 100-fold in comparison with normal homozygotes), (i) the effect of risk heterogeneity on cancer risk is marginal; (ii) dose-dependent radiation effect remains virtually the same as in a homogeneous irradiated population that has no predisposed subgroups; (iii) for the same radiation dose, relatives of affected probands show an enhancement of cancer risks; and (iv) most extra cancers in relatives can be attributed to radiosensitivity differentials. This simple model can give an upper bound of the effect of risk heterogeneity on radiation-induced breast cancer risks even when the cumulative breast cancer risk is age-dependent. Further, our model predicts that the benefits of mammography outweigh the risks.     

The interpretation of exponential dose-effect curves

This paper deals with the following question: Which distributions of radiosensitivity in a population can lead to an exponential survival curve? The problem is solved exactly, with statistical fluctuations in dose fully accounted for. It is shown that only an exponential distribution of sensitivities can give rise to an exponential survival curve.     

Identification of a multihit model for nonhomogeneous cell population]

A generalized multihit-multitarget model for a nonhomogeneous, with respect to radiosensitivity, population of irradiated cells is presented. The least squares and the maximum likelihood estimation of the model parameters is given. The estimates quality is evaluated by the computer-based study. The results obtained show the possibility of the parametric identification of cell radiosensitivity distribution according to the "dose-response" data.     

The generation and characterization of a radiation-resistant model system to study radioresistance in human breast cancer cells.

To systematically study the selection of radioresistant cells in clinically advanced breast cancer, a model system was generated by treating MDA-MB231 breast cancer cells with fractionated gamma radiation. A clonogenic assay of the surviving cell populations showed that 2-6 Gy per fraction resulted in a rapid selection of radioresistant populations, within three to five fractions. Irradiation with additional fractions after this initial increase did not increase the radioresistance of the surviving population significantly. Doses of 0.5 and 8 Gy per fraction were not effective in selecting radioresistant cells. To further determine the cause of the changes in radiosensitivity, 15 clones were isolated from the cell populations treated with 40 or 60 Gy with 2 or 4 Gy per fraction, respectively, and were analyzed for radiosensitivity. The average D(10) for these clones was 6.75 +/- 0.36 Gy, which was higher than that for the parental cell population (D(10) = 6.0 +/- 0.2 Gy). The operation of cell cycle checkpoints and the doubling time were similar for both the nonirradiated parental population and the isolated radioresistant subclones. In contrast, a decrease in the apoptotic potential was correlated (r = 0.7, P < 0.01) with increased survival after irradiation, suggesting that apoptosis is an important factor in determining radioresistance under our experimental conditions. We also isolated several subclones from the nonirradiated parental cell population and analyzed them to determine their radiosensitivity after fractionated irradiation. Ten fractions of 4 Gy (40 Gy in total) did not result in a significant increase in the radioresistance of these subclones compared to the irradiated cell populations. The possible mechanisms of the increased radioresistance after fractionated irradiation are discussed.     

On the response of a cell population to low-dose irradiation

The cell composition of a population of human blood lymphocytes was studied after irradiation at doses of 5 cGy, 1.0 Gy and 5 cGy + 1.0 Gy and the use of a cytokinesis block. The frequencies of uni-, bi- and multinucleate lymphocytes with and without micronuclei (MN) were taken into account. By the standard criterion the frequency of binucleate lymphocytes with MN among binucleate lymphocytes--the donors were characterized as follows: in with reduction of radiosensitivity after irradiation with 5 cGy + 1.0 Gy as compared to the values of radiosensitivity after irradiation with 1.0 Gy only (an adaptive response, AR); in with no change of radiosensitivity after exposure to these doses (no AR); and with an increased ofradiosensitivity after exposure to these doses (syndrome of increased radiosensitivity, IRS). It was found that upon exposure to 1.0 Gy and 5 cGy + 1.0 Gy in some donors with AR, without AR and with IRS the total numbers of damaged cells in the population and the number of binucleate cells with MN were equal. This result calls in question the involvement of the repair mechanism in the alteration of radiosensitivity of lymphocytes in these donors. It was also observed that in the same donors a simultaneous increase (or a decrease in the case of IRS) of the portion of undamaged binucleate cells in the population took place. Our results demonstrate the existence of a new, populational, mechanism involved in the alteration of radiosensitivity after exposure to the adaptive and challenge doses.     

New Statistical Tests of Neutrality for DNA Samples from a Population

The purpose of this paper is to develop statistical tests of the neutral model of evolution against a class of alternative models with the common characteristic of having an excess of mutations that occurred a long time ago or a reduction of recent mutations compared to the neutral model. This class of population genetics models include models for structured populations, models with decreasing effective population size and models of selection and mutation balance. Four statistical tests were proposed in this paper for DNA samples from a population. Two of these tests, one new and another a modification of an existing test, are based on EWENS'' sampling formula, and the other two new tests make use of the frequencies of mutations of various classes. Using simulated samples and regression analyses, the critical values of these tests can be computed from regression equations. This approach for computing the critical values of a test was found to be appropriate and quite effective. We examined the powers of these four tests using simulated samples from structured populations, populations with linearly decreasing sizes and models of selection and mutation balance and found that they are more powerful than existing statistical tests of the neutral model of evolution.     

Radiosensibilité individuelle et risque aux faibles doses médicales

Individual radiosensitivity to high doses of ionizing radiations has been known for a long time by radiation oncologists. It is responsible for the side effects and complications of radiation therapy in the absence of errors in dose delivery. Immunofluorescence techniques have lowered by a factor 100 the threshold of detection of DNA double-strand breaks, to the level of 1 mGy. The effects of a simple radiography, e.g. a mammography, can be measured. Thus the phenomenon of individual radiosensitivity at low-doses has been assessed in mammary epithelium cell cultures exposed in the conditions of mammography. The mechanisms of individual radiosensitivity are linked to abnormalities of DNA damage signalling and repair. This suggests a link between cancer proneness and radiosensitivity. Individual radiosensitivity has a prevalence of 5 to 15% in the population. Thus, it is a key phenomenon to take into account in public health and in future recommendations of the radioprotection system.     

Image analysis of DNA content and nuclear morphometry for predicting radiosensitivity of nasopharyngeal carcinoma

OBJECTIVE: To investigate the relationship among nuclear DNA content, nuclear morphology, clinical response, and radiosensitivity in nasopharyngeal carcinoma (NPC) and the suitability of image cytometric analysis of DNA content and nuclear morphology for predicting radiosensitivity of NPC prior to radiotherapy. STUDY DESIGN: Nuclear DNA content and morphology features were detected by image cytometric analysis in 51 biopsy specimens of NPC prior to radiotherapy. The radiotherapeutic effect experienced by the NPC patients was classified as CR (complete response [i.e., complete tumor disappearance]) and PR (partial response [i.e., residual tumor]) according to pathologic analysis of tumor specimens after completion of the scheduled treatment. RESULTS: The mean DNA index; the percentage of cells with the DNA pattern of 2C, 5C, aneuploidy respectively; the mean nuclear area; the mean nuclear perimeter and the mean nuclear diameter in the CR group were significantly higher than they were in the PR group. CONCLUSION: DNA content and nuclear morphometry by image cytometric analysis were significantly correlated with patient outcome and radiosensitivity of NPC. Other measurements of more biomarkers for predicting the radiosensitivity of NPC await further study.     

In silico simulation of the effect of hypoxia on MCF-7 cell cycle kinetics under fractionated radiotherapy

The treatment outcome of a given fractionated radiotherapy scheme is affected by oxygen tension and cell cycle kinetics of the tumor population. Numerous experimental studies have supported the variability of radiosensitivity with cell cycle phase. Oxygen modulates the radiosensitivity through hypoxia-inducible factor (HIF) stabilization and oxygen fixation hypothesis (OFH) mechanism. In this study, an existing mathematical model describing cell cycle kinetics was modified to include the oxygen-dependent G1/S transition rate and radiation inactivation rate. The radiation inactivation rate used was derived from the linear-quadratic (LQ) model with dependence on oxygen enhancement ratio (OER), while the oxygen-dependent correction for the G1/S phase transition was obtained from numerically solving the ODE system of cyclin D-HIF dynamics at different oxygen tensions. The corresponding cell cycle phase fractions of aerated MCF-7 tumor population, and the resulting growth curve obtained from numerically solving the developed mathematical model were found to be comparable to experimental data. Two breast radiotherapy fractionation schemes were investigated using the mathematical model. Results show that hypoxia causes the tumor to be more predominated by the tumor subpopulation in the G1 phase and decrease the fractional contribution of the more radioresistant tumor cells in the S phase. However, the advantage provided by hypoxia in terms of cell cycle phase distribution is largely offset by the radioresistance developed through OFH. The delayed proliferation caused by severe hypoxia slightly improves the radiotherapy efficacy compared to that with mild hypoxia for a high overall treatment duration as demonstrated in the 40-Gy fractionation scheme.     

Simulation model for gynecologic specimen classification in a high-resolution prescreening system

Presentation is made of the design of a statistical model for the generation of "artificial specimens" to be used in the development and testing of a high-resolution prescreening system for gynecologic specimen classification. The model is based on two considerations: (1) the nature of the biologic material to be examined and (2) the system to be studied, which in this case is the FAZYTAN cervical prescreening system. Since gynecologic specimens that belong to the same clinical class (Papanicolaou group) have similar compositions of the different cytologic cell types, the simulation model presented is based on the close relationship between the degree of cancer suspiciousness expressed in the clinical diagnostic group and the composition of the cellular samples on a specimen. Statistically, the model considered here is based on an analysis of the single-cell classification (SCC) output process, taking the inherent system properties into account. The statistical information obtained by evaluating large sets of labelled cells is then used to produce artificially generated point distributions in the SCC decision space ("artificial specimens"), which can be used for examination of system reactions under controlled conditions. False-positive and false-negative error rates and system operation characteristics can be measured, and the effects of varying cell compositions as well as the relative performance of different specimen classifiers can be investigated. Although the "artificial specimens" thus created allow the investigation of system reactions with respect to a great variety of input processes, they cannot replace experiments on thousands of original specimens in order to measure system quality under realistic conditions.     

How well is the probability of tumor cure after fractionated irradiation described by Poisson statistics?

The probability of tumor cure in a homogeneous population of tumors exposed to fractionated radiotherapy was modeled using numerical simulations and compared with the predictions of Poisson statistics, assuming exact knowledge of the relevant tumor parameters (clonogen number, radiosensitivity, and growth kinetics). The results show that although Poisson statistics (based on exact knowledge of all parameters) accurately describes the probability of tumor cure when no proliferation occurs during treatment, it underestimates the cure rate when proliferation does occur. In practice, however, the inaccuracy is not likely to be more than about 10%. When the tumor parameters are unknown and are estimated by fitting an empirical Poisson model to tumor-cure data from a homogeneous population of proliferative tumors, the resulting estimates of tumor growth rate and radiosensitivity accurately reflect the true values, but the estimate of initial clonogen number is biased downward. A new formula that is more accurate than Poisson statistics in predicting the probability of tumor cure when proliferation occurs during treatment is discussed.     

Competitive but Not Allosteric mTOR Kinase Inhibition Enhances Tumor Cell Radiosensitivity

The mechanistic target of rapamycin (mTOR) is a critical kinase in the regulation of gene translation and has been suggested as a potential target for radiosensitization. The goal of this study was to compare the radiosensitizing activities of the allosteric mTOR inhibitor rapamycin with that of the competitive mTOR inhibitor PP242. On the basis of immunoblot analyses, whereas rapamycin only partially inhibited mTOR complex 1 (mTORC1) activity and had no effect on mTOR complex 2 (mTORC2), PP242 inhibited the activity of both mTOR-containing complexes. Irradiation alone had no effect on mTORC1 or mTORC2 activity. Clonogenic survival was used to define the effects of the mTOR inhibitors on in vitro radiosensitivity. In the two tumor cell lines evaluated, PP242 treatment 1 hour before irradiation increased radiosensitivity, whereas rapamycin had no effect. Addition of PP242 after irradiation also enhanced the radiosensitivity of both tumor lines. To investigate the mechanism of radiosensitization, the induction and repair of DNA double-strand breaks were evaluated according yH2AX foci. PP242 exposure did not influence the initial level of yH2AX foci after irradiation but did significantly delay the dispersal of radiationinduced yH2AX foci. In contrast to the tumor cell lines, the radiosensitivity of a normal human fibroblast cell line was not influenced by PP242. Finally, PP242 administration to mice bearing U251 xenografts enhanced radiationinduced tumor growth delay. These results indicate that in a preclinical tumor model PP242 enhances tumor cell radiosensitivity both in vitro and in vivo and suggest that this effect involves an inhibition of DNA repair.     

More evidence for prediction model of radiosensitivity

With the development of precision medicine, searching for potential biomarkers plays a major role in personalized medicine. Therefore, how to predict radiosensitivity to improve radiotherapy is a burning question. The definition of radiosensitivity is complex. Radiosensitive gene/biomarker can be useful for predicting which patients would benefit from radiotherapy. The discovery of radiosensitivity biomarkers require multiple pieces of evidence. A prediction model of breast cancer radiosensitivity based on six genes was established. We had put forward some supplements on the basis of the present study. We found that there were no differences between high- and low-risk scores in the non-radiotherapy group. Patients who received radiotherapy had a significantly better overall survival than non-radiotherapy patients in the predicted low-risk score patients. Furthermore, there was no difference between radiotherapy group and non-radiotherapy group in the high-risk score group. Those results firmly supported the prediction model of radiosensitivity. In addition, building a radiosensitivity prediction model was systematically discussed. Genes of model could be screened by different methods, such as Cox regression analysis, Lasso Cox regression method, random forest algorithm and other methods. In the future, precision radiotherapy might depend on the combination of multi-omics data and high dimensional image data.     

Gender difference in smoking effect on chromosome sensitivity to gamma radiation in a healthy population

In the general population, there is variation in radiosensitivity associated with cancer risk. However, data on the role of epigenetic factors in the variation of radiosensitivity are scarce. Thus we investigated the effects of smoking and age on the radiosensitivity of human lymphocytes by measuring the frequency of chromosome aberrations after in vitro exposure to gamma rays in peripheral lymphocytes from 441 healthy subjects (18-95 years old). We analyzed the frequency of both spontaneous (baseline) and in vitro gamma-ray-induced (1.5 Gy) chromatid breaks in 50 well-spread metaphases per subject. The overall mean frequencies of spontaneous and induced breaks were 0.02 and 0.45 per cell, respectively. The mean frequency of induced breaks was significantly higher in men than in women (P = 0.03) but did not differ by age or ethnicity. Donors who had ever smoked showed a small but significantly increased frequency of induced breaks (mean = 0.47) compared to nonsmokers (mean = 0.41; P = 0.005). Further stratification and multivariate analyses revealed that the smoking effect was more pronounced in men than in women. These findings support a smoking effect on radiosensitivity in a healthy population, particularly in men. Therefore, when evaluating the association between radiosensitivity and susceptibility to smoking-related cancers, the effect of smoking should be taken into account.     

Initial slope of radiation survival curves is characteristic of the origin of primary and established cultures of human tumor cells and fibroblasts

The published survival curves of 110 human tumor cell lines and 147 nontransformed human fibroblast strains have been reanalyzed using three different statistical methods: the single hit multitarget model, the linear-quadratic model, and the mean inactivation dose. The 110 tumor cell lines were classified in two ways: (a) into three categories defined by clinical radiocurability criteria, and (b) into seven categories based on histopathology. The 147 fibroblast strains were divided into eight genetic groups. Differences in the radiosensitivities of both the tumor cell and fibroblast groups could be demonstrated only by parameters that describe the slopes of the initial part of the survival curves. The capacity of the survival level to identify significant differences between groups was dose dependent over the range 1 to 6 Gy. This relationship showed a bell-shaped curve with a maximum at 1.5 Gy for the tumor cell lines and 3 Gy for the fibroblasts. Values for intrinsic radiosensitivity for a number of groups of tumors have also been obtained by primary culture of tumor cells. These values are strictly comparable to those obtained by clonogenic methods. This confirms that intrinsic radiosensitivity is a determinant of the response of tumor cells to radiotherapy and suggests that tissue culture methods may be used as a predictive assay.     

Differential role of DNA-PKcs phosphorylations and kinase activity in radiosensitivity and chromosomal instability

The catalytic subunit of DNA-dependent protein kinase (DNA-PKcs) is the key functional element in the DNA-PK complex that drives nonhomologous end joining (NHEJ), the predominant DNA double-strand break (DSB) repair mechanism operating to rejoin such breaks in mammalian cells after exposure to ionizing radiation. It has been reported that DNA-PKcs phosphorylation and kinase activity are critical determinants of radiosensitivity, based on responses reported after irradiation of asynchronously dividing populations of various mutant cell lines. In the present study, the relative radiosensitivity to cell killing as well as chromosomal instability of 13 DNA-PKcs site-directed mutant cell lines (defective at phosphorylation sites or kinase activity) were examined after exposure of synchronized G(1) cells to (137)Cs γ rays. DNA-PKcs mutant cells defective in phosphorylation at multiple sites within the T2609 cluster or within the PI3K domain displayed extreme radiosensitivity. Cells defective at the S2056 cluster or T2609 single site alone were only mildly radiosensitive, but cells defective at even one site in both the S2056 and T2609 clusters were maximally radiosensitive. Thus a synergism between the capacity for phosphorylation at the S2056 and T2609 clusters was found to be critical for induction of radiosensitivity.     

Reproductive system and interaction with fauna in a Mediterranean Pyrophite shrub

The ULEX model, in its present state, involves the study of the biomass and the population of the shrub Ulex parviflorus Pourret, but while being a dynamic model, it is static in the sense that it does not imply the appearance of new specimens of this plant. As a complement to the ULEX model in its two dynamic and spatial aspects, and with the idea of extending the model, the authors have introduced from a biological and statistical point of view four characteristics of this species, flowering, pollination, fructification, taking special interest in the role played by the pollinators (bees) and dispersion of seeds.     

Is there a link between telomere maintenance and radiosensitivity?

Several recent studies point to the possibility that telomere maintenance may constitute a potential genetic marker of radiosensitivity. For example, the human diseases ataxia telangiectasia and Nijmegen breakage syndrome, which are characterized by clinical radiosensitivity, show alterations in telomere maintenance. In addition, Fanconi's anemia patients, who are characterized by mild cellular radiosensitivity and in some cases marked clinical radiosensitivity, have altered telomere maintenance. Similarly, a correlation between telomere maintenance and cellular radiosensitivity was reported in a group of breast cancer patients. Another study demonstrated that radiosensitivity may be more pronounced in human fibroblasts with short telomeres than in their counterparts with long telomeres. Several mouse models including mice deficient in Ku, DNA-PKcs (Prkdc), Parp and Atm, all of which are radiosensitive in vivo, show clear telomere alterations. The link between telomere maintenance and radiosensitivity is also apparent in mice genetically engineered to have dysfunctional telomeres. Finally, studies using non-mammalian model systems such as C. elegans and yeast point to the link between radiosensitivity and telomere maintenance. These results warrant further investigation to identify the extent to which these two phenotypes, namely radiosensitivity and telomere maintenance, are linked.