SETIL: Italian multicentric epidemiological case-control study on risk factors for childhood leukaemia, non hodgkin lymphoma and neuroblastoma: study population and prevalence of risk factors in Italy.

BACKGROUND: Aetiology of childhood leukaemia and childhood neoplasm is poorly understood. Information on the prevalence of risk factors in the childhood population is limited. SETIL is a population based case-control study on childhood leukaemia, conducted with two companion studies on non-Hodgkin Lymphoma (NHL) and neuroblastoma. The study relies on questionnaire interviews and 50 Hz magnetic field (ELF-MF) indoor measurements. This paper discusses the SETIL study design and includes descriptive information. METHODS: The study was carried out in 14 Italian regions (78.3% of Italian population aged 0-10). It included leukaemia, NHL and neuroblastoma cases incident in 0-10 year olds in 1998-2001, registered by the Italian Association of Paediatric Haematology and Oncology (AIEOP) (accrual over 95% of estimated incidence). Two controls for each leukaemia case were randomly sampled from the Local Health Authorities rolls, matched by gender, birthdate and residence. The same controls were used in NHL and neuroblastoma studies. Parents were interviewed at home on: physical agents (ELF-MF and ionizing radiation), chemicals (smoking, solvents, traffic, insecticides), occupation, medical and personal history of children and parents, infectious diseases, immunizations and associated factors. Occupational exposure was collected using job specific modules. ELF-MF was measured in the main rooms (spot measurement) and close to child's bed (48 hours measurement). RESULTS: The study included: 683 leukaemia cases (87% ALL, 13% AnLL), 97 NHL, 155 neuroblastomas, and 1044 controls. CONCLUSIONS: SETIL represents a data source on exposure of Italian children to a broad array of potential carcinogenic factors.

[Statistical analysis of the incidence of some cancers in the province of Taranto 1999-2001]. / Analisi statistica dell'incidenza di alcune patologie tumorali nella provincia di Taranto 1999-2001.

OBJECTIVE: to estimate the spatial distribution of risk, in order to assess its correlation to environmental pollution exposure around the large production facilities located in the Taranto area, and to identify high risk areas not previously reported. SETTING: Italy, Taranto province (581,508 inhabitants). DESIGN: incidence data in 29 municipalities of the Taranto province were extracted from the Jonico Salentino Cancer Registry (RTJS) for the following cancer sites: lung (ICDX C33-C34); pleura, pleuric mesothelioma (ICDX C45.0); bladder, malignancies only (ICDX C67); brain (ICDX C70-72); non-Hodgkin lymphoma (ICDX C82-85, C96); leukaemia (ICDX C91-5). Age standardized incidence rates for the whole province were computed. High-level risk areas were classified using a Poisson model, computing area-specific p-values associated to the null hypothesis of no increased risk (i.e. relative risk equal to 1). A hierarchical spatial Bayesian model was estimated to strengthen results: specifically two additional variance components, accounting for relative risk spatial autocorrelation and excess heterogeneity respectively, were considered in the model specification. Bayesian mapping of disease incidence allows for the drawing of regularized (smoothed) maps. To adjust for the effect of socio-economic deprivation, a five-variable index was introduced into the model as an ecological covariate. RESULTS: an increased risk of lung, pleura and bladder cancer was observed among male residents in the city of Taranto (respectively: SIR 1.24, p-value < 0.01; SIR: 2.21, p-value < 0.01; SIR 1.28, p-value < 0.01). For non-Hodgkin lymphoma, a significant value was observed in the city of Taranto for males (SIR 1.46, p-value < 0.01), as well as in the neighbouring area of Pulsano for females (SIR 3.88, p-value < 0.01). An unexpected increased risk of brain cancer was found in both sexe risk (especially among males) of lung, pleura and bladder cancer is likely related to the chemical pollutants and asbestos, due to the presence of many industries and shipyards in the city of Taranto.

[Assessment of occupational exposure to PAH in coke-oven workers of Taranto steel plant through biological monitoring]. / Valutazione dell'esposizione professionale a IPA in lavoratori della cokeria dello stabilimento siderugico di Taranto mediante monitoraggio biologico.

OBJECTIVE: This study aims at evaluating the occupational exposure to polycyclic aromatic hydrocarbons (PAH) through biological monitoring and at investigating the influence of selected genetic polymorphisms on the levels of internal dose biomarker. DESIGN: A cross-sectional study has been conducted on the basis of biological measurements in order to evaluate the levels of PAH exposure. SETTING: PAH exposure assessment has been carried out in a coke-oven of one of the largest European steel plants (ILVA, Taranto), in the context of the program of medical surveillance carried in collaboration with the ILVA Occupational Health Service. PARTICIPANTS: 355 coke-oven workers exposed to PAH were enrolled from the 3 batteries of the coke oven plant. Maintenance workers and industrial cleaners were included. MAIN OUTCOME MEASURES: The measurement of urinary levels of 1-hydroxypyrene (1-OHP) as biomarker of internal dose has been carried out, as well as the evaluation of metabolic polymorphisms of the cytochrome P450 1A1 (CYP1A1), glutathione S-transferases mu (GSTM1) and theta (GSTT1) as biomarkers of susceptibility. RESULTS: The median value of urinary 1-OHP was 1,05 microMol/Molcreat. The difference between the groups was statistically significant, with the highest value observed in the maintenance group (median 1,71, range 0,06-14,69 microMol/Molcreat). It is remarkable that 25% of the workers exceeded the proposed benchmark guideline value of2,3 microMol/Molcreat. No statistical difference was found in relation to smoking habits. Workers with GSTT1 null genotype had higher 1-OHP levels than those with wild type (p = 0,06). CONCLUSIONS: The levels of biomarker of internal dose reflect a critical exposure to PAH in the coke-oven plant. Further observations are needed to better investigate the role of GSTT1 on the 1-OHP levels.