Cargando…

New DNA Methylation Signals for Malignant Pleural Mesothelioma Risk Assessment

SIMPLE SUMMARY: Our study investigated DNA methylation differences in easily accessible white blood cells (WBCs) between malignant pleural mesothelioma (MPM) cases and asbestos-exposed cancer-free controls. A multiple regression model highlighted that the methylation level of two single CpGs (cg0354...

Descripción completa

Detalles Bibliográficos
Autores principales: Cugliari, Giovanni, Allione, Alessandra, Russo, Alessia, Catalano, Chiara, Casalone, Elisabetta, Guarrera, Simonetta, Grosso, Federica, Ferrante, Daniela, Sculco, Marika, La Vecchia, Marta, Pirazzini, Chiara, Libener, Roberta, Mirabelli, Dario, Magnani, Corrado, Dianzani, Irma, Matullo, Giuseppe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199167/
https://www.ncbi.nlm.nih.gov/pubmed/34071989
http://dx.doi.org/10.3390/cancers13112636
_version_ 1783707312762912768
author Cugliari, Giovanni
Allione, Alessandra
Russo, Alessia
Catalano, Chiara
Casalone, Elisabetta
Guarrera, Simonetta
Grosso, Federica
Ferrante, Daniela
Sculco, Marika
La Vecchia, Marta
Pirazzini, Chiara
Libener, Roberta
Mirabelli, Dario
Magnani, Corrado
Dianzani, Irma
Matullo, Giuseppe
author_facet Cugliari, Giovanni
Allione, Alessandra
Russo, Alessia
Catalano, Chiara
Casalone, Elisabetta
Guarrera, Simonetta
Grosso, Federica
Ferrante, Daniela
Sculco, Marika
La Vecchia, Marta
Pirazzini, Chiara
Libener, Roberta
Mirabelli, Dario
Magnani, Corrado
Dianzani, Irma
Matullo, Giuseppe
author_sort Cugliari, Giovanni
collection PubMed
description SIMPLE SUMMARY: Our study investigated DNA methylation differences in easily accessible white blood cells (WBCs) between malignant pleural mesothelioma (MPM) cases and asbestos-exposed cancer-free controls. A multiple regression model highlighted that the methylation level of two single CpGs (cg03546163 in FKBP5 and cg06633438 in MLLT1) are independent MPM markers. The epigenetic changes at the FKBP5 and MLLT1 genes were robustly associated with MPM in asbestos-exposed subjects. Interaction analyses showed that MPM cases and cancer-free controls showed DNAm differences which may be linked to asbestos exposure. ABSTRACT: 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.
format Online
Article
Text
id pubmed-8199167
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-81991672021-06-14 New DNA Methylation Signals for Malignant Pleural Mesothelioma Risk Assessment Cugliari, Giovanni Allione, Alessandra Russo, Alessia Catalano, Chiara Casalone, Elisabetta Guarrera, Simonetta Grosso, Federica Ferrante, Daniela Sculco, Marika La Vecchia, Marta Pirazzini, Chiara Libener, Roberta Mirabelli, Dario Magnani, Corrado Dianzani, Irma Matullo, Giuseppe Cancers (Basel) Article SIMPLE SUMMARY: Our study investigated DNA methylation differences in easily accessible white blood cells (WBCs) between malignant pleural mesothelioma (MPM) cases and asbestos-exposed cancer-free controls. A multiple regression model highlighted that the methylation level of two single CpGs (cg03546163 in FKBP5 and cg06633438 in MLLT1) are independent MPM markers. The epigenetic changes at the FKBP5 and MLLT1 genes were robustly associated with MPM in asbestos-exposed subjects. Interaction analyses showed that MPM cases and cancer-free controls showed DNAm differences which may be linked to asbestos exposure. ABSTRACT: 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. MDPI 2021-05-27 /pmc/articles/PMC8199167/ /pubmed/34071989 http://dx.doi.org/10.3390/cancers13112636 Text en © 2021 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
Cugliari, Giovanni
Allione, Alessandra
Russo, Alessia
Catalano, Chiara
Casalone, Elisabetta
Guarrera, Simonetta
Grosso, Federica
Ferrante, Daniela
Sculco, Marika
La Vecchia, Marta
Pirazzini, Chiara
Libener, Roberta
Mirabelli, Dario
Magnani, Corrado
Dianzani, Irma
Matullo, Giuseppe
New DNA Methylation Signals for Malignant Pleural Mesothelioma Risk Assessment
title New DNA Methylation Signals for Malignant Pleural Mesothelioma Risk Assessment
title_full New DNA Methylation Signals for Malignant Pleural Mesothelioma Risk Assessment
title_fullStr New DNA Methylation Signals for Malignant Pleural Mesothelioma Risk Assessment
title_full_unstemmed New DNA Methylation Signals for Malignant Pleural Mesothelioma Risk Assessment
title_short New DNA Methylation Signals for Malignant Pleural Mesothelioma Risk Assessment
title_sort new dna methylation signals for malignant pleural mesothelioma risk assessment
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8199167/
https://www.ncbi.nlm.nih.gov/pubmed/34071989
http://dx.doi.org/10.3390/cancers13112636
work_keys_str_mv AT cugliarigiovanni newdnamethylationsignalsformalignantpleuralmesotheliomariskassessment
AT allionealessandra newdnamethylationsignalsformalignantpleuralmesotheliomariskassessment
AT russoalessia newdnamethylationsignalsformalignantpleuralmesotheliomariskassessment
AT catalanochiara newdnamethylationsignalsformalignantpleuralmesotheliomariskassessment
AT casaloneelisabetta newdnamethylationsignalsformalignantpleuralmesotheliomariskassessment
AT guarrerasimonetta newdnamethylationsignalsformalignantpleuralmesotheliomariskassessment
AT grossofederica newdnamethylationsignalsformalignantpleuralmesotheliomariskassessment
AT ferrantedaniela newdnamethylationsignalsformalignantpleuralmesotheliomariskassessment
AT sculcomarika newdnamethylationsignalsformalignantpleuralmesotheliomariskassessment
AT lavecchiamarta newdnamethylationsignalsformalignantpleuralmesotheliomariskassessment
AT pirazzinichiara newdnamethylationsignalsformalignantpleuralmesotheliomariskassessment
AT libenerroberta newdnamethylationsignalsformalignantpleuralmesotheliomariskassessment
AT mirabellidario newdnamethylationsignalsformalignantpleuralmesotheliomariskassessment
AT magnanicorrado newdnamethylationsignalsformalignantpleuralmesotheliomariskassessment
AT dianzaniirma newdnamethylationsignalsformalignantpleuralmesotheliomariskassessment
AT matullogiuseppe newdnamethylationsignalsformalignantpleuralmesotheliomariskassessment