Metabolic syndrome, endocrine disruptors and prostate cancer associations: biochemical and pathophysiological evidences

Quagliariello, Vincenzo; Rossetti, Sabrina; Cavaliere, Carla; Palo, R. Di; Lamantia, Elvira; Castaldo, Luigi; Nocerino, Flavia; Ametrano, Gianluca; Cappuccio, Francesca; Malzone, Gabriella; Montanari, Micaela; Vanacore, Daniela; Romano, Francesco Jacopo; Piscitelli, Raffaele; Iovane, Gelsomina; Pepe, Maria Filomena; Berretta, Massimiliano; D’Aniello, Carmine; Perdonà, Sisto; Muto, Paolo; Botti, Gerardo; Ciliberto, Gennaro; Veneziani, Bianca Maria; Falco, Francesco De; Maiolino, Piera; Caraglia, Michele; Montella, Maurizio; Iaffaioli, Rosario Vincenzo

doi:10.18632/oncotarget.16725

Cited by 49 publications

(42 citation statements)

References 86 publications

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“…Recent studies showed a convincing association between metabolic syndrome, as aggregation of three or more metabolic disorders, and certain types of cancer, including prostate [28] and breast [29]. Interestingly, we did not find a clear relationship between the number of MRFs and cancer risk in men.…”

Section: Clustering Patterns In Mencontrasting

confidence: 90%

Sex-specific clustering of metabolic risk factors and cancer risk: a longitudinal study in Iran

2020

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Background: Cancer is a major cause of death in low-and middle-income countries. A large number of studies have shown that some of the metabolic risk factors (MRFs) tend to cluster in individuals. We examined the synergistic effects of multiple MRFs and cancer risk among Iranian adults. Methods: Among 8593 (3929 men) participants aged ≥ 30 years, the self-organizing map (SOM) was applied to clustering of four MRFs including high fasting plasma glucose (HFPG), high total cholesterol (HTC), high systolic blood pressure (HSBP), and high body mass index (HBMI). The Cox proportional hazards model was used to investigate the association between clusters with cancer incidence during a median of 14.0 years of follow-up. Results: During the study period, 265 new cases of cancer were identified among participants at risk. The incidence density rate was 2.5 per 1000 person years in total population. About 32 and 40% of men and women, respectively, had three or four MRFs. We identified seven clusters of MRFs in both men and women. In both genders, MRFs were clustered in those with older age. Further, inverse associations were found between current smoking in men, and education level and passive smoking in women and clustering of MRFs. In men, a cluster with 100% HSBP and HBMI had the highest risk for overall cancer. While, among women, a cluster with 100% HFPG and 93% HBMI yielded the highest risk for cancer. The risk was decreased when HBMI accompanied by HTC. Conclusions: Clustering patterns may reflect underlying link between MRFs and cancer and could potentially facilitate tailored health promotion interventions.

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Section: Clustering Patterns In Mencontrasting

confidence: 90%

Sex-specific clustering of metabolic risk factors and cancer risk: a longitudinal study in Iran

2020

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“…Recent studies showed a convincing association between metabolic syndrome, as aggregation of 3 or more metabolic disorders, and certain types of cancer, including prostate (27) and breast (28).…”

Section: Clustering Patterns In Menmentioning

confidence: 99%

Clustering of metabolic risk factors and cancer risk: a Self-Organizing Map approach

Ramezankhani

Azizi

Hadaegh

2019

Preprint

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Background: We examined the synergistic effects of multiple metabolic risk factors (MRFs) and cancer risk among Iranian adults. Methods: Among 8593 (3929 men) participants aged ≥30 years, the Self-organizing map (SOM) was applied to clustering of four MRFs including high fasting plasma glucose (HFPG), high total cholesterol (HTC), high systolic blood pressure (HSBP) and high body mass index (HBMI). The Cox proportional hazards model was used to investigate the association between clusters with cancer incidence during a median of 14.0 years. Results: About 32 and 40% of men and women, respectively, had three or four MRFs. We identified seven clusters of MRFs in both men and women. In both genders, MRFs were clustered in those with older age. Further, inverse associations were found between smoking in men and education level in women and clustering of MRFs. In men, a cluster with 100% HSBP and HBMI had the highest risk for overall cancer. While, among women, a cluster with 100% HFPG and 93% HBMI yielded the highest risk for cancer. The risk was decreased when HBMI accompanied by HTC. Conclusions: Clustering patterns may reflect underlying link between MRFs and cancer and could potentially facilitate tailored health promotion interventions.

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“…Cadmium, cobalt, mercury, chlorinated organic, lead, and others components commonly cause the diseases. [12][13][14][15][16][17][18][19][20][21][22] In addition to general health, water pollution also affects dental disease and the oral cavity. Oral health is known as an integral part of overall health.…”

Section: Effects Of Water Pollution On Dental and Oral Diseasesmentioning

confidence: 99%

The benefits of information system of water pollution at Bedadung river towards oral and dental health of the community

Ernanda¹,

Hamzah²,

Setyowati³

et al. 2018

J Dentomaxillofac Sci

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Objective: The purpose of creating the river water pollution information systems related to oral and dental health community is to facilitate the analysis of diseases caused by water pollution. Material and Methods: The environment-based health management information system based on GIS is based on real data of Bedadung River-Jember Regency, East Java, Indonesia includes the location of the dumping points, photo dumping points, the area of garbage accumulation and tooth and mouth disorders that arise due to contamination of river water, which is associated with community dental and oral health data that taken by survey.Results: Through the environmental health information system information can be displayed about the environment and the dental and oral status of the population around the Bedadung river. Conclusion: The use of the environment-based health management information system is very important to help support the government's decision to prevent the spread and severity of community diseases caused by river water pollution, reduce morbidity and mortality and reduce the burden of government financing to treat diseases and disability integrated in an integrated manner.Keywords: Water pollution, Bedadung river, Oral and health community, Environment-based health management information system Cite this Article: Ernanda H, Hamzah Z, Setyowati DI, Handayani ATW, Indriana T. 2018. The benefits of information system of water pollution at Bedadung river towards oral and dental health of the community. Journal of Dentomaxillofacial Science 3(2): 91-95.

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Metabolic syndrome, endocrine disruptors and prostate cancer associations: biochemical and pathophysiological evidences

Cited by 49 publications

References 86 publications

Sex-specific clustering of metabolic risk factors and cancer risk: a longitudinal study in Iran

Sex-specific clustering of metabolic risk factors and cancer risk: a longitudinal study in Iran

Clustering of metabolic risk factors and cancer risk: a Self-Organizing Map approach

The benefits of information system of water pollution at Bedadung river towards oral and dental health of the community

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