Ovarian cancer mortality and industrial pollution

García‐Pérez, Javier; Lope, Virginia; López‐Abente, Gonzalo; González-Sánchez, Mario; Fernández-Navarro, Pablo

doi:10.1016/j.envpol.2015.05.024

Cited by 34 publications

(23 citation statements)

References 37 publications

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“…In the U.S., a positive correlation between state-level ovarian cancer incidence rates and pulp and paper manufacturing has been reported by Schwartz and Sahmoun (2014) [27]. A similar relationship was reported for geographic regions in Spain [22]. …”

Section: Introductionsupporting

confidence: 64%

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Ovarian Cancer Incidence in the U.S. and Toxic Emissions from Pulp and Paper Plants: A Geospatial Analysis

Hanchette

Zhang

Schwartz

2018

IJERPH

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Ovarian cancer is the fifth leading cause of female cancer mortality in the U.S. and accounts for five percent of all cancer deaths among women. No environmental risk factors for ovarian cancer have been confirmed. We previously reported that ovarian cancer incidence rates at the state level were significantly correlated with the extent of pulp and paper manufacturing. We evaluated that association using county-level data and advanced geospatial methods. Specifically, we investigated the relationship of spatial patterns of ovarian cancer incidence rates with toxic emissions from pulp and paper facilities using data from the Environmental Protection Agency’s Toxic Release Inventory (TRI). Geospatial analysis identified clusters of counties with high ovarian cancer incidence rates in south-central Iowa, Wisconsin, New York, Pennsylvania, Alabama, and Georgia. A bivariate local indicator of spatial autocorrelation (LISA) analysis confirmed that counties with high ovarian cancer rates were associated with counties with large numbers of pulp and paper mills. Regression analysis of state level data indicated a positive correlation between ovarian cancer and water pollutant emissions. A similar relationship was identified from the analysis of county-level data. These data support a possible role of water-borne pollutants from pulp and paper mills in the etiology of ovarian cancer.

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Section: Introductionsupporting

confidence: 64%

“…Ovarian cancer has been associated with industrial pollution in ecological studies [22], and there is evidence that occupational exposure among pulp and paper mill employees increases the risk [23,24]. A Norwegian study found a (not significantly elevated) odds ratio of 2.02 for exposure to asbestos [25].…”

Section: Introductionmentioning

confidence: 99%

Ovarian Cancer Incidence in the U.S. and Toxic Emissions from Pulp and Paper Plants: A Geospatial Analysis

Hanchette

Zhang

Schwartz

2018

IJERPH

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“…Recent examples of applications using the R-INLA package for statistical analysis, include disease mapping (Schrödle and Held, 2011b,a;Ugarte et al, 2014Ugarte et al, , 2016Papoila et al, 2014;Goicoa et al, 2016;, age-period-cohort models (Riebler and Held, 2016), evolution of the Ebola virus (Santermans et al, 2016), studies of relationship between access to housing, health and well-being in cities (Kandt et al, 2016), study of the prevalence and correlates of intimate partner violence against men in Africa (Tsiko, 2015), search for evidence of gene expression heterosis (Niemi et al, 2015), analysis of traffic pollution and hospital admissions in London (Halonen et al, 2016), early transcriptome changes in maize primary root tissues in response to moderate water deficit conditions by RNA-Sequencing (Opitz et al, 2016), performance of inbred and hybrid genotypes in plant breeding and genetics (Lithio and Nettleton, 2015), a study of Norwegian emergency wards (Goth et al, 2014), effects of measurement errors (Kröger et al, 2016;Muff and Keller, 2015), network meta-analysis (Sauter and Held, 2015), time-series analysis of genotyped human campylobacteriosis cases from the Manawatu region of New Zealand (Friedrich et al, 2016), modeling of parrotfish habitats (Roos et al, 2015b), Bayesian outbreak detection (Salmon et al, 2015), studies of long-term trends in the number of Monarch butterflies (Crewe and Mccracken, 2015), long-term effects on hospital admission and mortality of road traffic noise (Halonen et al, 2015), spatio-temporal dynamics of brain tumours (Iulian et al, 2015), ovarian cancer mortality (García-Pérez et al, 2015), the effect of preferential sampling on phylodynamic inference (Karcher et al, 2016), analysis of the impact of climate change on abundance trends in central Europe (Bowler et al, 2015), investigation of drinking patterns in US Counties from 2002 to 2012 …”

Section: Introductionmentioning

confidence: 99%

Bayesian Computing with INLA: A Review

Rue

Riebler

Sørbye

et al. 2017

Annu. Rev. Stat. Appl.

593

478

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The key operation in Bayesian inference, is to compute high-dimensional integrals. An old approximate technique is the Laplace method or approximation, which dates back to PierreSimon Laplace (1774). This simple idea approximates the integrand with a second order Taylor expansion around the mode and computes the integral analytically. By developing a nested version of this classical idea, combined with modern numerical techniques for sparse matrices, we obtain the approach of Integrated Nested Laplace Approximations (INLA) to do approximate Bayesian inference for latent Gaussian models (LGMs).LGMs represent an important model-abstraction for Bayesian inference and include a large proportion of the statistical models used today. In this review, we will discuss the reasons for the success of the INLA-approach, the R-INLA package, why it is so accurate, why the approximations are very quick to compute and why LGMs make such a useful concept for Bayesian computing.

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“…Age, family history of ovarian cancer, infertility, environmental ionizing radiation, and asbestos are key known factors that cause this cancer, and there is limited evidence that the personal use of pesticides by women also has a relationship with this cancer. 6,7 At present, the primary treatments of ovarian cancer are cytoreductive surgery and platinum-based chemotherapies, but the prognosis is still poor because the conrmed diagnosis is usually at a terminal stage. 8,9 So, new and potentially effective treatments for ovarian cancer are in urgent demand.…”

Section: -5mentioning

confidence: 99%

Enhancing the anti-ovarian cancer activity of quercetin using a self-assembling micelle and thermosensitive hydrogel drug delivery system

Wang

et al. 2018

RSC Adv.

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Ovarian cancer, as one of the killers that threaten women's health, has been studied extensively. As a natural bioflavonoid with prospective effects, quercetin is highly recognized for its anti-cancer applications.However, one of the major challenges that quercetin faces is its poor water solubility, instability in physiological media, and subsequent poor bioavailability. Thus, optimizing the ideal drug delivery options is necessary to facilitate the harnessing of the maximum benefits from quercetin. In this study, a quercetin-loaded thermosensitive injectable hydrogel system (Qu-M-hydrogel composites) was constructed based on nanotechnology. Quercetin was encapsulated into MPEG-PCL (with a high drug loading of 7% and minor particle size of 32 nm) and then added into the blank thermosensitive hydrogel Pluronic F-127. The Qu-M-hydrogel composites showed a much slower release than Qu-M in vivo.Moreover, the cytotoxicity, apoptosis induction, and anti-tumor effects of the Qu-M-hydrogel composites on the abdominal SKOV-3 ovarian cancer mouse models were investigated in vivo. Compared with other groups, the Qu-M-hydrogel composites exhibited improved apoptosis induction and cell growth inhibition effects and in vivo trials showed a better balance between the anti-tumor efficacy in the Qu-M-hydrogel composite group than in other groups at an equal drug dose. In conclusion, the prepared Qu-M-hydrogel composites enhanced the anti-tumor activity by providing a high local quercetin concentration, sustained and stable drug release, extended drug retention inside the tumor, and low toxicity to normal tissues. The Qu-M-hydrogel composites might have great potential for clinical application in anti-ovarian cancer activity.

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Ovarian cancer mortality and industrial pollution

Cited by 34 publications

References 37 publications

Ovarian Cancer Incidence in the U.S. and Toxic Emissions from Pulp and Paper Plants: A Geospatial Analysis

Ovarian Cancer Incidence in the U.S. and Toxic Emissions from Pulp and Paper Plants: A Geospatial Analysis

Bayesian Computing with INLA: A Review

Enhancing the anti-ovarian cancer activity of quercetin using a self-assembling micelle and thermosensitive hydrogel drug delivery system

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