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Stefano Bonassi

Publications and source records attributed to Stefano Bonassi.

33 records · Page 2Linked to original sources

Comparison of DNA adduct levels in nasal mucosa, lymphocytes and bronchial mucosa of cigarette smokers and interaction with metabolic gene polymorphisms.

The recent introduction of biomarkers in population studies of lung cancer has improved the traditional epidemiological approach, especially in the detection of high risk groups. Many inhalable carcinogens form DNA adducts, an initial event in lung carcinogenesis, and therefore the identification of easily accessible sources of DNA for population studies is considered a leading priority in the field. In this study we compared the frequency of DNA adducts in samples from nasal brushing, bronchial biopsy and peripheral blood lymphocytes (PBL) in a group of 55 subjects, both smokers and non-smokers, undergoing bronchoscopy for diagnostic purposes. Polymorphisms in the CYP1A1, GSTM1 and GSTT1 genes were also evaluated. The level of DNA adducts measured by (32)P-labelling assay in nasal mucosa (10(8) relative adduct level, mean +/- SD 1.10 +/- 0.66) was higher than in bronchial mucosa (0.82 +/- 0.36) and in PBL (0.54 +/- 0.39, P < 0.01). DNA adducts measured in nasal mucosa and in PBL were correlated with those in bronchial mucosa (P < 0.01 and P < 0.05, respectively). DNA adducts in smokers were significantly increased in both nasal mucosa and PBL, with a significant dose-response linear trend (P < 0.05). No significant effect on DNA adduction of the genetic polymorphisms investigated was found. Nasal mucosa brushing proved to be a suitable procedure for the (32)P-labelling assay and its use in population studies should be further explored.

Aged↗

Impact of types of lymphocyte chromosomal aberrations on human cancer risk: results from Nordic and Italian cohorts.

The frequency of cells with structural chromosomal aberrations (CAs) in peripheral blood lymphocytes is the first genotoxicity biomarker that has shown an association with cancer risk. CAs are usually divided into chromosome-type (CSAs) and chromatid-type aberrations (CTAs), with different mechanisms of formation. From a mechanistic point of view, it is of interest to clarify whether the cancer predictivity of CAs is different with respect to CSAs and CTAs. We report here cancer risk for cytogenetically tested, healthy subjects with respect to frequency of CAs, CSAs, and CTAs in peripheral blood lymphocytes, using Nordic (1981 subjects with CA data, 1871 subjects with CSA/CTA data) and Italian (1573 subjects with CA data, 877 subjects with CTA/CSA data) cohorts, with a median follow-up of 17 years. High levels of CAs at test were clearly associated with increased total cancer incidence in the Nordic cohorts and increased total cancer mortality in the Italian cohort. In the Nordic cohorts, significantly elevated cancer risks were observed for subjects with both high CSAs and high CTAs at test, and these variables showed equally strong cancer predictivity. The results of the Italian cohort did not indicate any clear-cut difference in cancer predictivity between the CSA and CTA biomarkers. There was no significant effect modification by age at test, gender, country, or time since test. The results suggest that both DNA double-strand breaks and other initial DNA lesions responsible for CSAs and CTAs are associated with cancer risk.

Chromatids↗

Detection of MYCN amplification and chromosome 1p36 loss in neuroblastoma by cDNA microarray comparative genomic hybridization.

BACKGROUND: In the last decade, microarray technology has been extensively used to evaluate gene expression profiles and genome imbalances. We have developed a microarray-based comparative genomic hybridization (CGH) approach to identify MYCN gene amplification and 1p36 chromosome loss, two markers of tumor aggressiveness in neuroblastoma. AIM: The aim was to use microarray CGH technology to detect the two major prognostic markers for neuroblastoma, MYCN amplification and 1p36 chromosome deletion, in neuroblastoma patients and, therefore, confirm the usefulness of this approach in this cancer. METHODS: DNA was purified from 16 tumors containing at least 90% malignant neuroblasts and collected at the onset of disease. Pooled fluorescent-labeled reference and neuroblastoma tumor genomic DNA was hybridized to epoxide-coated glass slides on laboratory-made complementary DNA microarray. The microarray contained cDNA mapped at the 1p36.33-36.1 chromosomal region and MYCN gene. cDNA from the 2q33-q34 and 12p13 chromosomes was used as a control and Arabidopsis thaliana DNA was spotted to control unspecific hybridization. Fluorescence in situ hybridization analysis was also performed to validate results from the microarray CGH. RESULTS: Both MYCN amplification and 1p36 chromosome deletion were detected by microarray CGH. The sensitivity and specificity for 1p36 loss detection were 66.7% and 90.0%, respectively. The method had a sensitivity of 66.7% and specificity of 90.9% to detect MYCN amplification. DISCUSSION: Our results demonstrated that the microarray CGH can be efficiently applied to study DNA gain and loss of specific chromosome regions.

Cell Nucleus↗

Applying new biotechnologies to the study of occupational cancer--a workshop summary.

As high-throughput technologies in genomics, transcriptomics, and proteomics evolve, questions arise about their use in the assessment of occupational cancers. To address these questions, the National Institute for Occupational Safety and Health, the National Cancer Institute, the National Institute of Environmental Health Sciences, and the American Chemistry Council sponsored a workshop 8-9 May 2002 in Washington, DC. The workshop brought together 80 international specialists whose objective was to identify the means for best exploiting new technologies to enhance methods for laboratory investigation, epidemiologic evaluation, risk assessment, and prevention of occupational cancer. The workshop focused on identifying and interpreting markers for early biologic effect and inherited modifiers of risk.

Biomarkers↗

Intra- and inter-laboratory variation in the scoring of micronuclei and nucleoplasmic bridges in binucleated human lymphocytes. Results of an international slide-scoring exercise by the HUMN project.

One of the objectives of the HUman MicroNucleus (HUMN) project is to identify the methodological variables that have an important impact on micronucleus (MN) or micronucleated (MNed) cell frequencies measured in human lymphocytes using the cytokinesis-block micronucleus assay. In a previous study we had shown that the scoring criteria used were likely to be an important variable. To determine the extent of residual variation when laboratories scored cells from the same cultures using the same set of standard scoring criteria, an inter-laboratory slide-scoring exercise was performed among 34 laboratories from 21 countries with a total of 51 slide scorers involved. The results of this study show that even under these optimized conditions there is a great variation in the MN frequency or MNed cell frequency obtained by individual laboratories and scorers. All laboratories ranked correctly the MNed cell frequency in cells from cultures that were unirradiated, or exposed to 1 or 2Gy of gamma rays. The study also estimated that the intra-scorer median coefficient of variation for duplicate MNed cell frequency scores is 29% for unexposed cultures and 14 and 11% for cells exposed to 1 and 2Gy, respectively. These values can be used as a standard for quality or acceptability of data in future studies. Using a Poisson regression model it was estimated that radiation dose explained 67% of the variance, while staining method, cell sample, laboratory, and covariance explained 0.6, 0.3, 6.5, and 25.6% of the variance, respectively, leaving only 3.1% of the variance unexplained. As part of this exercise, nucleoplasmic bridges were also estimated by the laboratories; however, inexperience in the use of this biomarker of chromosome rearrangement was reflected in the much greater heterogeneity in the data and the unexplained variation estimated by the Poisson model. The results of these studies indicate clearly that even after standardizing culture and scoring conditions it will be necessary to calibrate scorers and laboratories if MN, MNed cell and nucleoplasmic bridge frequencies are to be reliably compared among laboratories and among populations.

Analysis of Variance↗

Micronuclei frequency in children exposed to environmental mutagens: a review.

Cytogenetic monitoring has been traditionally used for the surveillance of populations exposed to genotoxic agents. In recent years sensitivity problems emerged in surveys of populations exposed to low levels of mutagens, and therefore alternative approaches have been explored. Biomonitoring studies in children are a promising field, since because of evident differences in the uptake, metabolism, distribution and excretion of mutagens this population seems to be more susceptible than adults. Further, the effect of major confounders such as cigarettes smoking, occupation, life-style, and dietary factors plays a minor role. Among cytogenetic assays, the micronucleus assay (MN) has several advantages and is increasingly used. A review was then carried out to synthesize the published data on the occurrence of MN in children and adolescents (age range 0-18 years), and to assess the impact of genotoxic exposure on MN frequency. Overall, 20 papers from international literature and 8 Russian papers were included. An effect of age was found within this age range, while the influence of gender on MN frequency was irrelevant. These results were confirmed by the re-analysis of data for 448 children selected from the HUMN database. An effect of chronic and infectious diseases on MN levels has been reported by various authors. Most studies describing the effect of exposure to genotoxic agents (ionizing radiation, chemicals, drugs, environmental tobacco smoke) found an increase of MN in exposed children. The limited number of published papers indicates that the conduct of properly designed studies on the effect of environmental pollutants in children may be difficult. This review confirmed the usefulness of MN assay in biomonitoring studies conducted in children, revealing that in many circumstances investigating children increases the sensitivity of the study, even with low dose exposures.

Child↗

Implementation of a molecular epidemiology approach to human pleural malignant mesothelioma.

The carcinogenic effect of asbestos has been reported in the literature since 40 years, and early studies describing the epidemic occurrence of malignant mesothelioma (MM) in asbestos workers, have become a paradigm of occupational cancer research. Research on MM was abandoned for many years since MM was considered as an asbestos-related disease, interesting only from a perspective of disease control and preventive policies. The introduction of new biological endpoints in the epidemiological studies has boosted research in the field, providing new tools for the study of emerging priority in cancer research and in public health. This approach, known as molecular epidemiology has a great potential in the study of MM, contributing to the understanding of susceptibility factors, to the evaluation of cancer risk in people occupationally or environmentally exposed to carcinogens, and to the enhancement of diagnosis and therapy. A comprehensive approach based on the use of banks of biological samples is presented and its advantages discussed here. The application of innovative endpoints, such as oncoproteins in biologic fluids, genetic polimorphisms, or gene function is discussed, and relevant literature reviewed.

Asbestos↗

Effect of smoking habit on the frequency of micronuclei in human lymphocytes: results from the Human MicroNucleus project.

The effect of tobacco smoking on the frequency of micronuclei (MN) in human lymphocytes has been the object of many population studies. In most reports, the results were unexpectedly negative, and in many instances smokers had lower frequencies of MN than non-smokers. A pooled re-analysis of 24 databases from the HUMN international collaborative project has been performed with the aim of understanding the impact of smoking habits on MN frequency. The complete database included 5710 subjects, with 3501 non-smokers, 1409 current smokers, and 800 former smokers, among subjects in occupational and environmental surveys. The overall result of the re-analysis confirmed the small decrease of MN frequencies in current smokers (frequency ratio (FR) = 0.97, 95% confidence interval (CI) = 0.93-1.01) and in former smokers (FR = 0.96, 95% CI = 0.91-1.01), when compared to non-smokers. MN frequency was not influenced by the number of cigarettes smoked per day among subjects occupationally exposed to genotoxic agents, whereas a typical U-shaped curve is observed for non-exposed smokers, showing a significant increase of MN frequency in individuals smoking 30 cigarettes or more per day (FR = 1.59, 95% CI = 1.35-1.88). This analysis confirmed that smokers do not experience an overall increase in MN frequency, although when the interaction with occupational exposure is taken into account, heavy smokers were the only group showing a significant increase in genotoxic damage as measured by the micronucleus assay in lymphocytes. From these results some general recommendations for the design of biomonitoring studies involving smokers can be formulated. Quantitative data about smoking habit should always be collected because, in the absence of such data, the simple comparison of smokers versus non-smokers could be misleading. The sub-group of heavy smokers (> or =30 cigarettes per day) should be specifically evaluated whenever it is large enough to satisfy statistical requirements. The presence of an interaction between smoking habit and occupational exposure to genotoxic agents should be always tested.

Adult↗

Pooled analysis of epidemiological studies involving biological markers.

Pooled analysis is a method frequently used in epidemiology when individual studies are too small to allow any definite conclusion. Several guidelines have been published on pooling of classical epidemiological studies, but no information is available on pooling of studies involving biological markers. We have used information of two recently started pooled analyses, one on cytogenetic damage, the other on genetic susceptibility to environmental carcinogens, in order to make inferences on the applicability of a pooled analysis to molecular epidemiological studies. Issues in pooling data from epidemiological studies involving molecular markers are described here, including the choice of study design, planning and conducting of the study, data request, collection and storage, and costs. Some practical indications on the conduct of a pooled analysis in molecular epidemiology is given.

Biomarkers↗

Micronucleus frequency is increased in peripheral blood lymphocytes of nuclear power plant workers.

Nuclear power plant workers are exposed to ionizing radiation at relatively low doses and for prolonged periods of time. To investigate the extent of genetic damage in these workers, a group of 133 nuclear power plant workers and 39 healthy controls were compared using the cytokinesis-block micronucleus assay. The frequency of micronuclei was significantly increased in peripheral lymphocytes of nuclear power plant workers (20.5 +/- 9.7% compared to 13.7 +/- 5.9%). A significant dose-response relationship was observed between micronucleus (MN) frequency and both the accumulated dose and the duration of employment (P < 0.01 for both variables after adjusting for age, gender and cigarette smoking) with an evident leveling off for exposures over 200 mSv. Accumulated dose and duration of employment were significantly correlated but exerted independent effects on MN frequency. For non-occupational parameters, age was significantly associated with the frequency of micronuclei, while gender was not. Smoking habit showed no overall effect, whereas increased chromosome damage was evident in smokers of more than 20 cigarettes per day. In conclusion, a dose-related association between MN frequency and exposure to ionizing radiation was evident in nuclear power plant workers, encouraging the application of the cytokinesis-block micronucleus assay in biomonitoring studies of human populations with prolonged exposure to ionizing radiation.

Adult↗

High incidence of childhood type 1 diabetes in Liguria, Italy, from 1989 to 1998.

OBJECTIVE: Assessing updated incidence of type 1 diabetes in 0- to 14-year-old children in Liguria, a Northwest region of Italy. RESEARCH DESIGN AND METHODS: Incident cases were recorded prospectively from 1989 to 1998. Incidence rates (IRs) were standardized to the 1999 world population using the direct method. The independent effect of sex, age, residence, and calendar year was estimated with Poisson regression model. The degree of ascertainment was calculated in accordance to capture/recapture method. RESULTS: During 10 full calendar years, 219 new cases of type 1 diabetes in children were diagnosed in Liguria. The standardized IR over the 10-year period was 12.56 cases per 100,000 per year (95% CI 11.0-14.3). The sex-specific IR among men and women was 14.15 and 10.88, respectively. The age-specific IR was higher in the 10- to 14-year-old age-group (15.01/100,000) than in 0- to 4-year-old age-group (9.01/100,000) and in the 5- to 9-year-old age-group (13.03/100,000). CONCLUSIONS: The IR of type 1 diabetes in Liguria is among the highest in Southern Europe and approaches IRs of Northern European countries. In particular it is much higher than those reported in the surrounding Italian regions except for Sardinia. Therefore, the geographical distribution of type 1 diabetes does not seem to reflect the simple North-South gradient reported in several previous works.

Adolescent↗

Biomarkers in molecular epidemiology studies for health risk prediction.

The field of molecular epidemiology is very promising, as sophisticated techniques are being developed to address etiology, genetic susceptibility and mechanisms for induction of disease. The use of biomarkers plays a key role in these investigations because the information can be used to predict the development of disease and to implement disease prevention programs. However, as emphasized by Frederica P. Perera, the field is strewn with studies either that failed to use validated biomarkers or whose designs did not adequately consider the biology of the endpoints, and the availability of validated biomarkers of health risk is still limited. In this review, we have briefly described the usefulness of certain biomarkers for the documentation of exposure and early biological effects, with special concern for the prediction of cancer. An emphasis is placed on understanding the biological and health significance of biomarkers. By building reliable biomarker databases, a promising future is the integration of information from the genome programs to expand the scientific frontiers on etiology, health risk prediction and prevention of environmental disease.

Biomarkers↗

Methodological issues in pooled analysis of biomarker studies.

The number of epidemiological studies involving biological markers has dramatically increased in the last years. These studies are generally small sized and this feature has called attention to the need to summarize the individual results, while waiting for the completion of larger studies, designed to answer questions that have been raised by preliminary studies. We describe here some of the methodological issues related to pooling data of biomarker studies, taking advantage of the experience accumulated by conducting two pooled analyses, one of studies of metabolic gene polymorphisms and cancer, the other on cytogenetic damage. Topics that are considered are: data standardization, population selection and bias, statistical analysis, ethical issues. Pooled analysis seems to provide a relevant improvement over meta-analysis in molecular epidemiology studies, though more research on methodology is needed.

Bias↗

Human population studies with cytogenetic biomarkers: review of the literature and future prospectives.

Cytogenetic biomarkers are by far the most frequently used endpoints in human population studies. Their sensitivity for measuring exposure to genotoxic agents and their role as early predictors of cancer risk have contributed to this success. In this article, we present an overview of the last 25 years of population studies with cytogenetic biomarkers, describing the evolution of this research and addressing the most promising innovations for the future. The evaluation has been restricted to the most popular assays, i.e., chromosomal aberrations (CAs) and micronucleus (MN), which are considered to be causally related to early stages of chronic diseases, especially cancer, and may therefore play a major role in prevention. An extensive literature search covering the period 1 January 1980 to 31 December 2003 was performed using the Medline/PubMed database. A total of 833 population studies using CAs and 434 using matched MN inclusion criteria were included in the analysis. We report the distribution of selected papers by year of publication, country, language, agents investigated, and methods employed. The state of the art and future prospects regarding cytogenetic techniques and epidemiologic and statistical methods are discussed. The role of susceptibility and its potential impact on genotoxic damage are discussed with special attention to the effect of major genetic polymorphisms on the baseline frequency of CAs and micronuclei.

Chromosome Aberrations↗