Dataset Information

The Influence of Genetic Variability on the Risk of Developing Malignant Mesothelioma.

ABSTRACT: Background:Malignant mesothelioma is a rare cancer with poor outcome, associated with asbestos exposure. Reactive oxygen species may play an important role in the mechanism of carcinogenesis; therefore, genetic variability in antioxidative defence may modify an individual's susceptibility to this cancer. This study investigated the influence of functional polymorphisms of NQO1, CAT, SOD2 and hOGG1 genes, gene-gene interactions and gene-environment interactions on malignant mesothelioma risk. Patients and methods:In total, 150 cases with malignant mesothelioma and 122 controls with no asbestos-related disease were genotyped for NQO1, CAT, SOD2 and hOGG1 polymorphisms. Results:The risk of malignant mesothelioma increased with smoking, odds ratio (OR) 9.30 [95% confidence interval (CI): 4.83-17.98] and slightly with age, OR 1.10 (95% CI: 1.08-1.14). Medium and high asbestos exposures represented 7-times higher risk of malignant mesothelioma compared to low exposure, OR 7.05 (95% CI 3.59-13.83). NQO1 rs1800566 was significantly associated with increased malignant mesothelioma risk, OR 1.73 (95% CI 1.02-2.96). Although there was no independent association between either CAT rs1001179 or hOGG1 rs1052133 polymorphism and malignant mesothelioma, interaction between both polymorphisms showed a protective effect, ORint 0.27 (95% CI 0.10-0.77). Conclusions:Our findings suggest a role of both genetic variability in antioxidative defence and repair as well as the impact of gene-gene interactions in the development of malignant mesothelioma. The results of this study could add to our understanding of pathogenesis of malignant mesothelioma and contribute to prevention and earlier diagnosis of this aggressive cancer.

SUBMITTER: Franko A

PROVIDER: S-EPMC5839088 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

The Influence of Genetic Variability on the Risk of Developing Malignant Mesothelioma.

Franko Alenka A Kotnik Nika N Goricar Katja K Kovac Viljem V Dodic-Fikfak Metoda M Dolzan Vita V

Radiology and oncology 20180124 1

<h4>Background</h4>Malignant mesothelioma is a rare cancer with poor outcome, associated with asbestos exposure. Reactive oxygen species may play an important role in the mechanism of carcinogenesis; therefore, genetic variability in antioxidative defence may modify an individual's susceptibility to this cancer. This study investigated the influence of functional polymorphisms of <i>NQO1</i>, <i>CAT</i>, <i>SOD2</i> and <i>hOGG1</i> genes, gene-gene interactions and gene-environment interactions ...[more]

PMID: 29520212

Similar Datasets

Project description:Malignant mesothelioma is associated with the exposure to asbestos fibers. Recent discovery of the BAP1 cancer syndrome, a Mendelian disorder with high-penetrance autosomal dominant inheritance fostered the genotyping for nucleotide-level or larger structural alteration of germline DNA. Inherited heterozygous mutations of the BAP1 gene increase the susceptibility to carcinogenic fibers, leading to a concept of gene x environment interaction (GxE) as a pathogenetic mechanism of mesothelioma. Several studies on cohorts of unselected patients with mesothelioma or on familial/early-onset cohorts of mesothelioma cases converged on BAP1 as the more frequent germline mutated gene, followed by other genes involved in DNA repair and homologous recombination. Evidence has been emerging that patients with mesothelioma carrying germline mutations of BAP1 and of other genes, such as those involved in DNA repair and tumor suppressor genes, have better prognosis and higher chemosensitivity when compared with patients with germline wildtype Bap1. We report here a germline genomic analysis targeted 22 genes in a cohort of 101 Japanese patients irrespective of asbestos exposure, age at diagnosis, or personal or family history of cancer. By comparing the results with the Human Genetic Variation Database (HGVD) and the Genome Aggregation Database (gnomAD) we selected rare germline variants with a Combined Annotation Dependent Depletion (CADD) >20. We show here that 31 of 101 subjects were carrying 25 rare variants in 14 genes, neither reported in the HGVD nor in the gnomAD database for 14/25 variants. Besides pathogenic variants of BAP1, rare missense variants were found in genes encoding lysine-specific histone methyltransferase SETD2 and SETDB1 and genes encoding subunits of the mSWI/SNF chromatin remodeling complex. The complete scenario of the genetic background consisting of pathogenic germline variants required for the predisposition and GxE for pathogenesis of mesothelioma appears complex, and further large-scale studies are warranted.

Project description:Malignant pleural mesothelioma (MPM) is a rare and aggressive neoplasm. Patients are usually diagnosed when current treatments have limited benefits, highlighting the need for noninvasive tests aimed at an MPM risk assessment tool that might improve life expectancy. Three hundred asbestos-exposed subjects (163 MPM cases and 137 cancer-free controls), from the same geographical region in Italy, were recruited. The evaluation of asbestos exposure was conducted considering the frequency, the duration and the intensity of occupational, environmental and domestic exposure. A genome-wide methylation array was performed to identify novel blood DNA methylation (DNAm) markers of MPM. Multiple regression analyses adjusting for potential confounding factors and interaction between asbestos exposure and DNAm on the MPM odds ratio were applied. Epigenome-wide analysis (EWAS) revealed 12 single-CpGs associated with the disease. Two of these showed high statistical power (99%) and effect size (>0.05) after false discovery rate (FDR) multiple comparison corrections: (i) cg03546163 in FKBP5, significantly hypomethylated in cases (Mean Difference in beta values (MD) = -0.09, 95% CI = -0.12|-0.06, p = 1.2 × 10-7), and (ii) cg06633438 in MLLT1, statistically hypermethylated in cases (MD = 0.07, 95% CI = 0.04|0.10, p = 1.0 × 10-6). Based on the interaction analysis, asbestos exposure and epigenetic profile together may improve MPM risk assessment. Above-median asbestos exposure and hypomethylation of cg03546163 in FKBP5 (OR = 20.84, 95% CI = 8.71|53.96, p = 5.5 × 10-11) and hypermethylation of cg06633438 in MLLT1 (OR = 11.71, 95% CI = 4.97|29.64, p = 5.9 × 10-8) genes compared to below-median asbestos exposure and hyper/hypomethylation of single-CpG DNAm, respectively. Receiver Operation Characteristics (ROC) for Case-Control Discrimination showed a significant increase in MPM discrimination when DNAm information was added in the model (baseline model, BM: asbestos exposure, age, gender and white blood cells); area under the curve, AUC = 0.75; BM + cg03546163 at FKBP5. AUC = 0.89, 2.1 × 10-7; BM + cg06633438 at MLLT1. AUC = 0.89, 6.3 × 10-8. Validation and replication procedures, considering independent sample size and a different DNAm analysis technique, confirmed the observed associations. Our results suggest the potential application of DNAm profiles in blood to develop noninvasive tests for MPM risk assessment in asbestos-exposed subjects.

Dataset Information

The Influence of Genetic Variability on the Risk of Developing Malignant Mesothelioma.

Publications

The Influence of Genetic Variability on the Risk of Developing Malignant Mesothelioma.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets