Residence in Proximity of an Iron Foundry and Risk of Lung Cancer in the Municipality of Trieste, Italy, 1995–2009

Bidoli, Ettore; Barbone, Fabio; Collarile, Paolo; Valent, Francesca; Zanier, Loris; Daris, Fulvio; Gini, Andrea; Birri, Silvia; Serraino, Diego

doi:10.3390/ijerph120809025

Cited by 7 publications

(13 citation statements)

References 20 publications

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“…Fourth, we assumed the residential location of the participants as a proxy of individual exposure. Our study population was relatively stable, with nearly 93% of the FVG population living in their area of residence for more than 15 years 30 .…”

Section: Discussionmentioning

confidence: 98%

Risk factors for territorial spreading of SARS-CoV-2 in North-eastern Italy

Bidoli

Toffolutti

Zotto³

et al. 2022

Sci Rep

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The impact of specific risk factors for SARS-CoV-2 infection spread was investigated among the 215 municipalities in north-eastern Italy. SARS-CoV-2 incidence was gathered fortnightly since April 1, 2020 (21 consecutive periods) to depict three indicators of virus spreading from hierarchical Bayesian maps. Eight explanatory features of the municipalities were obtained from official databases (urbanicity, population density, active population on total, hosting schools or nursing homes, proportion of commuting workers or students, and percent of > 75 years population on total). Multivariate Odds Ratios (ORs), and corresponding 95% Confidence Intervals (CIs), quantified the associations between municipality features and virus spreading. The municipalities hosting nursing homes showed an excess of positive tested cases (OR = 2.61, ever versus never, 95% CI 1.37;4.98), and displayed repeated significant excesses: OR = 5.43, 3–4 times versus 0 (95% CI 1.98;14.87) and OR = 6.10, > 5 times versus 0 (95% CI 1.60;23.30). Municipalities with an active population > 50% were linked to a unique statistical excess of cases (OR = 3.06, 1 time versus 0, 95% CI 1.43;6.57) and were inversely related to repeated statistically significant excesses (OR = 0.25, > 5 times versus 0; 95% CI 0.06;0.98). We highlighted specific municipality features that give clues about SARS-CoV-2 prevention.

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Section: Discussionmentioning

confidence: 98%

Risk factors for territorial spreading of SARS-CoV-2 in North-eastern Italy

Bidoli

Toffolutti

Zotto³

et al. 2022

Sci Rep

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“…In this study we obtained the structure of the residential population (by sex, age in quinquennia, and calendar year) using the same methodology applied in our previous investigation [ 12 ]. In the study area, 96.3% of residential addresses, extracted from regional healthcare population database between 1995 and 2009, were geocoded.…”

Section: Methodsmentioning

confidence: 99%

“…We calculated annual percent change (APC) [ 20 , 21 ] of incidence rates using Joinpoint software, for the whole 1995–2009 period in both sexes and by the two age groups (<75 and ≥75 years) according to tertile of exposures. Statistical significance ( p < 0.05) of annual APC was calculated using a Student’s t-distribution [ 12 , 20 , 21 ].…”

Section: Methodsmentioning

confidence: 99%

Residence in Proximity of a Coal-Oil-Fired Thermal Power Plant and Risk of Lung and Bladder Cancer in North-Eastern Italy. A Population-Based Study: 1995–2009

Collarile

Bidoli

Barbone

et al. 2017

IJERPH

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This study investigated the risk of lung and bladder cancers in people residing in proximity of a coal-oil-fired thermal power plant in an area of north-eastern Italy, covered by a population-based cancer registry. Incidence rate ratios (IRR) by sex, age, and histology were computed according to tertiles of residential exposure to benzene, nitrogen dioxide (NO 2 ), particular matter, and sulfur dioxide (SO 2 ) among 1076 incident cases of lung and 650 cases of bladder cancers. In men of all ages and in women under 75 years of age, no significant associations were observed. Conversely, in women aged ≥75 years significantly increased risks of lung and bladder cancers were related to high exposure to benzene (IRR for highest vs. lowest tertile: 2.00 for lung cancer and 1.94 for bladder cancer) and NO 2 (IRR: 1.72 for lung cancer; and 1.94 for bladder cancer). In these women, a 1.71-fold higher risk of lung cancer was also related to a high exposure to SO 2 . Acknowledging the limitations of our study, in particular that we did not have information regarding cigarette smoking habits, the findings of this study indicate that air pollution exposure may have had a role with regard to the risk of lung and bladder cancers limited to women aged ≥75 years. Such increased risk warrants further analytical investigations.

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“…This previous study provided insight for the development of lung cancer caused by PM pollution; it was hypothesized that a nearby iron foundry may influence the physical condition of local residents. Another study demonstrated that men (aged <75 years), but not women, residing within 800 m of the iron foundry coke oven had a high lung cancer risk (110).…”

Section: Iron and Various Cancersmentioning

confidence: 99%

Iron metabolism and its contribution to cancer (Review)

et al. 2019

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Iron is an essential element for biological processes. Iron homeostasis is regulated through several mechanisms, from absorption by enterocytes to recycling by macrophages and storage in hepatocytes. Iron has dual properties, which may facilitate tumor growth or cell death. Cancer cells exhibit an increased dependence on iron compared with normal cells. Macrophages potentially deliver iron to cancer cells, resulting in tumor promotion. Mitochondria utilize cellular iron to synthesize cofactors, including heme and iron sulfur clusters. The latter is composed of essential enzymes involved in DNA synthesis and repair, oxidation-reduction reactions, and other cellular processes. However, highly increased iron concentrations result in cell death through membrane lipid peroxidation, termed ferroptosis. Ferroptosis, an emerging pathway for cancer treatment, is similar to pyroptosis, apoptosis and necroptosis. In the present review, previous studies on the physiology of iron metabolism and its role in cancer are summarized. Additionally, the significance of iron regulation, and the association between iron homeostasis and carcinogenic mechanisms are discussed. Contents 1. Introduction 2. Iron absorption 3. Iron distribution and excretion 4. Iron and various cancers 5. Mechanisms of iron-mediated proliferation of tumor cells 6. Ferroptosis: Iron-dependent cancer cell death 7. Conclusions

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Residence in Proximity of an Iron Foundry and Risk of Lung Cancer in the Municipality of Trieste, Italy, 1995–2009

Cited by 7 publications

References 20 publications

Risk factors for territorial spreading of SARS-CoV-2 in North-eastern Italy

Risk factors for territorial spreading of SARS-CoV-2 in North-eastern Italy

Residence in Proximity of a Coal-Oil-Fired Thermal Power Plant and Risk of Lung and Bladder Cancer in North-Eastern Italy. A Population-Based Study: 1995–2009

Iron metabolism and its contribution to cancer (Review)

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