Literature DB >> 26039340

Identification of novel gene targets and putative regulators of arsenic-associated DNA methylation in human urothelial cells and bladder cancer.

Julia E Rager1, Sloane K Tilley1, Samantha E Tulenko1, Lisa Smeester1, Paul D Ray1,2, Andrew Yosim1, Jenna M Currier2, María C Ishida3, Maria Del Carmen González-Horta3, Blanca Sánchez-Ramírez3, Lourdes Ballinas-Casarrubias3, Daniela S Gutiérrez-Torres3, Zuzana Drobná4, Luz M Del Razo5, Gonzalo G García-Vargas6, William Y Kim7, Yi-Hui Zhou, Fred A Wright, Miroslav Stýblo2,4, Rebecca C Fry1,2.   

Abstract

There is strong epidemiologic evidence linking chronic exposure to inorganic arsenic (iAs) to myriad adverse health effects, including cancer of the bladder. We set out to identify DNA methylation patterns associated with arsenic and its metabolites in exfoliated urothelial cells (EUCs) that originate primarily from the urinary bladder, one of the targets of arsenic-induced carcinogenesis. Genome-wide, gene-specific promoter DNA methylation levels were assessed in EUCs from 46 residents of Chihuahua, Mexico, and the relationship was examined between promoter methylation profiles and the intracellular concentrations of total arsenic and arsenic species. A set of 49 differentially methylated genes was identified with increased promoter methylation associated with EUC tAs, iAs, and/or monomethylated As (MMAs) enriched for their roles in metabolic disease and cancer. Notably, no genes had differential methylation associated with EUC dimethylated As (DMAs), suggesting that DMAs may influence DNA methylation-mediated urothelial cell responses to a lesser extent than iAs or MMAs. Further analysis showed that 22 of the 49 arsenic-associated genes (45%) are also differentially methylated in bladder cancer tissue identified using The Cancer Genome Atlas repository. Both the arsenic- and cancer-associated genes are enriched for the binding sites of common transcription factors known to play roles in carcinogenesis, demonstrating a novel potential mechanistic link between iAs exposure and bladder cancer.

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Year:  2015        PMID: 26039340      PMCID: PMC4748849          DOI: 10.1021/tx500393y

Source DB:  PubMed          Journal:  Chem Res Toxicol        ISSN: 0893-228X            Impact factor:   3.739


  50 in total

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2.  USP7 attenuates hepatic gluconeogenesis through modulation of FoxO1 gene promoter occupancy.

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3.  Prenatal arsenic exposure and shifts in the newborn proteome: interindividual differences in tumor necrosis factor (TNF)-responsive signaling.

Authors:  Kathryn A Bailey; Jessica Laine; Julia E Rager; Elizabeth Sebastian; Andrew Olshan; Lisa Smeester; Zuzana Drobná; Miroslav Styblo; Marisela Rubio-Andrade; Gonzalo García-Vargas; Rebecca C Fry
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Journal:  Toxicol In Vitro       Date:  2010-05-24       Impact factor: 3.500

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6.  Prenatal arsenic exposure and the epigenome: altered microRNAs associated with innate and adaptive immune signaling in newborn cord blood.

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Journal:  Epigenetics       Date:  2015       Impact factor: 4.528

2.  Health effects of arsenic exposure in Latin America: An overview of the past eight years of research.

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3.  Integrative exposomic, transcriptomic, epigenomic analyses of human placental samples links understudied chemicals to preeclampsia.

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6.  Sex-Dependent effects of developmental arsenic exposure on methylation capacity and methylation regulation of the glucocorticoid receptor system in the embryonic mouse brain.

Authors:  Andrea M Allan; Alexander K Hafez; Matthew T Labrecque; Elizabeth R Solomon; M Nabil Shaikh; Xianyun Zheng; Abdulmehdi Ali
Journal:  Toxicol Rep       Date:  2015-10

7.  Arsenic exposure in Indo Gangetic plains of Bihar causing increased cancer risk.

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8.  Comparing the Predictivity of Human Placental Gene, microRNA, and CpG Methylation Signatures in Relation to Perinatal Outcomes.

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9.  Genome-wide measures of DNA methylation in peripheral blood and the risk of urothelial cell carcinoma: a prospective nested case-control study.

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Journal:  Br J Cancer       Date:  2016-08-04       Impact factor: 7.640

10.  Environment and bladder cancer: molecular analysis by interaction networks.

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