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Polymorphisms in DNA Repair and Xenobiotic Biotransformation Enzyme Genes and Lung Cancer Risk in Coal Mine Workers

Background: Currently coal mining employs over 7 million miners globally. This occupational setting is associated with exposure to dust particles, heavy metals, polycyclic aromatic hydrocarbons and radioactive radon, significantly increasing the risk of lung cancer (LC). The susceptibility for LC is...

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Autores principales: Minina, Varvara, Timofeeva, Anna, Torgunakova, Anastasya, Soboleva, Olga, Bakanova, Marina, Savchenko, Yana, Voronina, Elena, Glushkov, Andrey, Prosekov, Alexander, Fucic, Aleksandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874498/
https://www.ncbi.nlm.nih.gov/pubmed/35207542
http://dx.doi.org/10.3390/life12020255
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author Minina, Varvara
Timofeeva, Anna
Torgunakova, Anastasya
Soboleva, Olga
Bakanova, Marina
Savchenko, Yana
Voronina, Elena
Glushkov, Andrey
Prosekov, Alexander
Fucic, Aleksandra
author_facet Minina, Varvara
Timofeeva, Anna
Torgunakova, Anastasya
Soboleva, Olga
Bakanova, Marina
Savchenko, Yana
Voronina, Elena
Glushkov, Andrey
Prosekov, Alexander
Fucic, Aleksandra
author_sort Minina, Varvara
collection PubMed
description Background: Currently coal mining employs over 7 million miners globally. This occupational setting is associated with exposure to dust particles, heavy metals, polycyclic aromatic hydrocarbons and radioactive radon, significantly increasing the risk of lung cancer (LC). The susceptibility for LC is modified by genetic variations in xenobiotic detoxification and DNA repair capacity. The aim of this study was to investigate the association between GSTM1 (deletion), APEX1 (rs1130409), XPD (rs13181) and NBS1 (rs1805794) gene polymorphisms and LC risk in patients who worked in coal mines. Methods: The study included 639 residents of the coal region of Western Siberia (Kemerovo region, Russia): 395 underground miners and 244 healthy men who do not work in industrial enterprises. Genotyping was performed using real-time and allele-specific PCR. Results: The results show that polymorphisms of APEX1 (recessive model: OR(adj) = 1.87; CI 95%: 1.01–3.48) and XPD (log additive model: OR(adj) = 2.25; CI 95%: 1.59–3.19) genes were associated with increased LC risk. GSTM1 large deletion l was linked with decreased risk of LC formation (OR(adj) = 0.59, CI 95%: 0.36–0.98). The multifactor dimensionality reduction method for 3-loci model of gene–gene interactions showed that the GSTM1 (large deletion)—APEX1 (rs1130409)—XPD (rs13181) model was related with a risk of LC development. Conclusions: The results of this study highlight an association between gene polymorphism combinations and LC risks in coal mine workers.
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spelling pubmed-88744982022-02-26 Polymorphisms in DNA Repair and Xenobiotic Biotransformation Enzyme Genes and Lung Cancer Risk in Coal Mine Workers Minina, Varvara Timofeeva, Anna Torgunakova, Anastasya Soboleva, Olga Bakanova, Marina Savchenko, Yana Voronina, Elena Glushkov, Andrey Prosekov, Alexander Fucic, Aleksandra Life (Basel) Article Background: Currently coal mining employs over 7 million miners globally. This occupational setting is associated with exposure to dust particles, heavy metals, polycyclic aromatic hydrocarbons and radioactive radon, significantly increasing the risk of lung cancer (LC). The susceptibility for LC is modified by genetic variations in xenobiotic detoxification and DNA repair capacity. The aim of this study was to investigate the association between GSTM1 (deletion), APEX1 (rs1130409), XPD (rs13181) and NBS1 (rs1805794) gene polymorphisms and LC risk in patients who worked in coal mines. Methods: The study included 639 residents of the coal region of Western Siberia (Kemerovo region, Russia): 395 underground miners and 244 healthy men who do not work in industrial enterprises. Genotyping was performed using real-time and allele-specific PCR. Results: The results show that polymorphisms of APEX1 (recessive model: OR(adj) = 1.87; CI 95%: 1.01–3.48) and XPD (log additive model: OR(adj) = 2.25; CI 95%: 1.59–3.19) genes were associated with increased LC risk. GSTM1 large deletion l was linked with decreased risk of LC formation (OR(adj) = 0.59, CI 95%: 0.36–0.98). The multifactor dimensionality reduction method for 3-loci model of gene–gene interactions showed that the GSTM1 (large deletion)—APEX1 (rs1130409)—XPD (rs13181) model was related with a risk of LC development. Conclusions: The results of this study highlight an association between gene polymorphism combinations and LC risks in coal mine workers. MDPI 2022-02-09 /pmc/articles/PMC8874498/ /pubmed/35207542 http://dx.doi.org/10.3390/life12020255 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Minina, Varvara
Timofeeva, Anna
Torgunakova, Anastasya
Soboleva, Olga
Bakanova, Marina
Savchenko, Yana
Voronina, Elena
Glushkov, Andrey
Prosekov, Alexander
Fucic, Aleksandra
Polymorphisms in DNA Repair and Xenobiotic Biotransformation Enzyme Genes and Lung Cancer Risk in Coal Mine Workers
title Polymorphisms in DNA Repair and Xenobiotic Biotransformation Enzyme Genes and Lung Cancer Risk in Coal Mine Workers
title_full Polymorphisms in DNA Repair and Xenobiotic Biotransformation Enzyme Genes and Lung Cancer Risk in Coal Mine Workers
title_fullStr Polymorphisms in DNA Repair and Xenobiotic Biotransformation Enzyme Genes and Lung Cancer Risk in Coal Mine Workers
title_full_unstemmed Polymorphisms in DNA Repair and Xenobiotic Biotransformation Enzyme Genes and Lung Cancer Risk in Coal Mine Workers
title_short Polymorphisms in DNA Repair and Xenobiotic Biotransformation Enzyme Genes and Lung Cancer Risk in Coal Mine Workers
title_sort polymorphisms in dna repair and xenobiotic biotransformation enzyme genes and lung cancer risk in coal mine workers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8874498/
https://www.ncbi.nlm.nih.gov/pubmed/35207542
http://dx.doi.org/10.3390/life12020255
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