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Variant Enrichment Analysis to Explore Pathways Disruption in a Necropsy Series of Asbestos-Exposed Shipyard Workers

The variant enrichment analysis (VEA), a recently developed bioinformatic workflow, has been shown to be a valuable tool for whole-exome sequencing data analysis, allowing finding differences between the number of genetic variants in a given pathway compared to a reference dataset. In a previous stu...

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Autores principales: Crovella, Sergio, Moura, Ronald Rodrigues, Brandão, Lucas, Vita, Francesca, Schneider, Manuela, Zanconati, Fabrizio, Finotto, Luigi, Zacchi, Paola, Zabucchi, Giuliano, Borelli, Violetta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654668/
https://www.ncbi.nlm.nih.gov/pubmed/36362413
http://dx.doi.org/10.3390/ijms232113628
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author Crovella, Sergio
Moura, Ronald Rodrigues
Brandão, Lucas
Vita, Francesca
Schneider, Manuela
Zanconati, Fabrizio
Finotto, Luigi
Zacchi, Paola
Zabucchi, Giuliano
Borelli, Violetta
author_facet Crovella, Sergio
Moura, Ronald Rodrigues
Brandão, Lucas
Vita, Francesca
Schneider, Manuela
Zanconati, Fabrizio
Finotto, Luigi
Zacchi, Paola
Zabucchi, Giuliano
Borelli, Violetta
author_sort Crovella, Sergio
collection PubMed
description The variant enrichment analysis (VEA), a recently developed bioinformatic workflow, has been shown to be a valuable tool for whole-exome sequencing data analysis, allowing finding differences between the number of genetic variants in a given pathway compared to a reference dataset. In a previous study, using VEA, we identified different pathway signatures associated with the development of pulmonary toxicities in mesothelioma patients treated with radical hemithoracic radiation therapy. Here, we used VEA to discover novel pathways altered in individuals exposed to asbestos who developed or not asbestos-related diseases (lung cancer or mesothelioma). A population-based autopsy study was designed in which asbestos exposure was evaluated and quantitated by investigating objective signs of exposure. We selected patients with similar exposure to asbestos. Formalin-fixed paraffin-embedded (FFPE) tissues were used as a source of DNA and whole-exome sequencing analysis was performed, running VEA to identify potentially disrupted pathways in individuals who developed thoracic cancers induced by asbestos exposure. By using VEA analysis, we confirmed the involvement of pathways considered as the main culprits for asbestos-induced carcinogenesis: oxidative stress and chromosome instability. Furthermore, we identified protective genetic assets preserving genome stability and susceptibility assets predisposing to a worst outcome.
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spelling pubmed-96546682022-11-15 Variant Enrichment Analysis to Explore Pathways Disruption in a Necropsy Series of Asbestos-Exposed Shipyard Workers Crovella, Sergio Moura, Ronald Rodrigues Brandão, Lucas Vita, Francesca Schneider, Manuela Zanconati, Fabrizio Finotto, Luigi Zacchi, Paola Zabucchi, Giuliano Borelli, Violetta Int J Mol Sci Article The variant enrichment analysis (VEA), a recently developed bioinformatic workflow, has been shown to be a valuable tool for whole-exome sequencing data analysis, allowing finding differences between the number of genetic variants in a given pathway compared to a reference dataset. In a previous study, using VEA, we identified different pathway signatures associated with the development of pulmonary toxicities in mesothelioma patients treated with radical hemithoracic radiation therapy. Here, we used VEA to discover novel pathways altered in individuals exposed to asbestos who developed or not asbestos-related diseases (lung cancer or mesothelioma). A population-based autopsy study was designed in which asbestos exposure was evaluated and quantitated by investigating objective signs of exposure. We selected patients with similar exposure to asbestos. Formalin-fixed paraffin-embedded (FFPE) tissues were used as a source of DNA and whole-exome sequencing analysis was performed, running VEA to identify potentially disrupted pathways in individuals who developed thoracic cancers induced by asbestos exposure. By using VEA analysis, we confirmed the involvement of pathways considered as the main culprits for asbestos-induced carcinogenesis: oxidative stress and chromosome instability. Furthermore, we identified protective genetic assets preserving genome stability and susceptibility assets predisposing to a worst outcome. MDPI 2022-11-07 /pmc/articles/PMC9654668/ /pubmed/36362413 http://dx.doi.org/10.3390/ijms232113628 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
Crovella, Sergio
Moura, Ronald Rodrigues
Brandão, Lucas
Vita, Francesca
Schneider, Manuela
Zanconati, Fabrizio
Finotto, Luigi
Zacchi, Paola
Zabucchi, Giuliano
Borelli, Violetta
Variant Enrichment Analysis to Explore Pathways Disruption in a Necropsy Series of Asbestos-Exposed Shipyard Workers
title Variant Enrichment Analysis to Explore Pathways Disruption in a Necropsy Series of Asbestos-Exposed Shipyard Workers
title_full Variant Enrichment Analysis to Explore Pathways Disruption in a Necropsy Series of Asbestos-Exposed Shipyard Workers
title_fullStr Variant Enrichment Analysis to Explore Pathways Disruption in a Necropsy Series of Asbestos-Exposed Shipyard Workers
title_full_unstemmed Variant Enrichment Analysis to Explore Pathways Disruption in a Necropsy Series of Asbestos-Exposed Shipyard Workers
title_short Variant Enrichment Analysis to Explore Pathways Disruption in a Necropsy Series of Asbestos-Exposed Shipyard Workers
title_sort variant enrichment analysis to explore pathways disruption in a necropsy series of asbestos-exposed shipyard workers
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9654668/
https://www.ncbi.nlm.nih.gov/pubmed/36362413
http://dx.doi.org/10.3390/ijms232113628
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