Cargando…

A novel DNA methylation panel accurately detects colorectal cancer independently of molecular pathway

BACKGROUND: Colorectal cancer (CRC) is one of the most incident cancers, associated with significant morbidity and mortality, and usually classified into three main molecular pathways: chromosomal instability, microsatellite instability (MSI) and CpG island methylator phenotype (CIMP). Currently, av...

Descripción completa

Detalles Bibliográficos
Autores principales: Freitas, Micaela, Ferreira, Fábio, Carvalho, Sónia, Silva, Fernanda, Lopes, Paula, Antunes, Luís, Salta, Sofia, Diniz, Francisca, Santos, Lúcio Lara, Videira, José Flávio, Henrique, Rui, Jerónimo, Carmen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6389195/
https://www.ncbi.nlm.nih.gov/pubmed/29486770
http://dx.doi.org/10.1186/s12967-018-1415-9
_version_ 1783397913130434560
author Freitas, Micaela
Ferreira, Fábio
Carvalho, Sónia
Silva, Fernanda
Lopes, Paula
Antunes, Luís
Salta, Sofia
Diniz, Francisca
Santos, Lúcio Lara
Videira, José Flávio
Henrique, Rui
Jerónimo, Carmen
author_facet Freitas, Micaela
Ferreira, Fábio
Carvalho, Sónia
Silva, Fernanda
Lopes, Paula
Antunes, Luís
Salta, Sofia
Diniz, Francisca
Santos, Lúcio Lara
Videira, José Flávio
Henrique, Rui
Jerónimo, Carmen
author_sort Freitas, Micaela
collection PubMed
description BACKGROUND: Colorectal cancer (CRC) is one of the most incident cancers, associated with significant morbidity and mortality, and usually classified into three main molecular pathways: chromosomal instability, microsatellite instability (MSI) and CpG island methylator phenotype (CIMP). Currently, available screening methods are either costly or of limited specificity, impairing global implementation. More cost-effective strategies, including DNA methylation-based tests, might prove advantageous. Although some are already available, its performance is suboptimal, entailing the need for better candidate biomarkers. Herein, we tested whether combined use of APC, IGF2, MGMT, RASSF1A, and SEPT9 promoter methylation might accurately detect CRC irrespective of molecular subtype. METHODS: Selected genes were validated using formalin-fixed paraffin-embedded tissues from 214 CRC and 50 non-malignant colorectal mucosae (CRN). Promoter methylation levels were assessed using real-time quantitative methylation-specific PCR. MSI and CIMP status were determined. Molecular data were correlated with standard clinicopathological features. Diagnostic and prognostic performances were evaluated by receiver operator characteristics curve and survival analyses, respectively. RESULTS: Except for IGF2, promoter methylation levels were significantly higher in CRC compared to CRN. A three-gene panel (MGMT, RASSF1A, SEPT9) identified malignancy with 96.6% sensitivity, 74.0% specificity and 91.5 positive predictive value (area under the curve: 0.97), independently of tumor location, stage, and molecular pathway. CONCLUSIONS: Combined promoter methylation analysis of MGMT/RASSF1A/SEPT9 displays a better performance than currently available epigenetic-based biomarkers for CRC, providing the basis for the development of a non-invasive assay to detect CRC irrespective of the molecular pathway. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12967-018-1415-9) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-6389195
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-63891952019-03-19 A novel DNA methylation panel accurately detects colorectal cancer independently of molecular pathway Freitas, Micaela Ferreira, Fábio Carvalho, Sónia Silva, Fernanda Lopes, Paula Antunes, Luís Salta, Sofia Diniz, Francisca Santos, Lúcio Lara Videira, José Flávio Henrique, Rui Jerónimo, Carmen J Transl Med Research BACKGROUND: Colorectal cancer (CRC) is one of the most incident cancers, associated with significant morbidity and mortality, and usually classified into three main molecular pathways: chromosomal instability, microsatellite instability (MSI) and CpG island methylator phenotype (CIMP). Currently, available screening methods are either costly or of limited specificity, impairing global implementation. More cost-effective strategies, including DNA methylation-based tests, might prove advantageous. Although some are already available, its performance is suboptimal, entailing the need for better candidate biomarkers. Herein, we tested whether combined use of APC, IGF2, MGMT, RASSF1A, and SEPT9 promoter methylation might accurately detect CRC irrespective of molecular subtype. METHODS: Selected genes were validated using formalin-fixed paraffin-embedded tissues from 214 CRC and 50 non-malignant colorectal mucosae (CRN). Promoter methylation levels were assessed using real-time quantitative methylation-specific PCR. MSI and CIMP status were determined. Molecular data were correlated with standard clinicopathological features. Diagnostic and prognostic performances were evaluated by receiver operator characteristics curve and survival analyses, respectively. RESULTS: Except for IGF2, promoter methylation levels were significantly higher in CRC compared to CRN. A three-gene panel (MGMT, RASSF1A, SEPT9) identified malignancy with 96.6% sensitivity, 74.0% specificity and 91.5 positive predictive value (area under the curve: 0.97), independently of tumor location, stage, and molecular pathway. CONCLUSIONS: Combined promoter methylation analysis of MGMT/RASSF1A/SEPT9 displays a better performance than currently available epigenetic-based biomarkers for CRC, providing the basis for the development of a non-invasive assay to detect CRC irrespective of the molecular pathway. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12967-018-1415-9) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-27 /pmc/articles/PMC6389195/ /pubmed/29486770 http://dx.doi.org/10.1186/s12967-018-1415-9 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Freitas, Micaela
Ferreira, Fábio
Carvalho, Sónia
Silva, Fernanda
Lopes, Paula
Antunes, Luís
Salta, Sofia
Diniz, Francisca
Santos, Lúcio Lara
Videira, José Flávio
Henrique, Rui
Jerónimo, Carmen
A novel DNA methylation panel accurately detects colorectal cancer independently of molecular pathway
title A novel DNA methylation panel accurately detects colorectal cancer independently of molecular pathway
title_full A novel DNA methylation panel accurately detects colorectal cancer independently of molecular pathway
title_fullStr A novel DNA methylation panel accurately detects colorectal cancer independently of molecular pathway
title_full_unstemmed A novel DNA methylation panel accurately detects colorectal cancer independently of molecular pathway
title_short A novel DNA methylation panel accurately detects colorectal cancer independently of molecular pathway
title_sort novel dna methylation panel accurately detects colorectal cancer independently of molecular pathway
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6389195/
https://www.ncbi.nlm.nih.gov/pubmed/29486770
http://dx.doi.org/10.1186/s12967-018-1415-9
work_keys_str_mv AT freitasmicaela anoveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway
AT ferreirafabio anoveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway
AT carvalhosonia anoveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway
AT silvafernanda anoveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway
AT lopespaula anoveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway
AT antunesluis anoveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway
AT saltasofia anoveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway
AT dinizfrancisca anoveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway
AT santosluciolara anoveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway
AT videirajoseflavio anoveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway
AT henriquerui anoveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway
AT jeronimocarmen anoveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway
AT freitasmicaela noveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway
AT ferreirafabio noveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway
AT carvalhosonia noveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway
AT silvafernanda noveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway
AT lopespaula noveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway
AT antunesluis noveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway
AT saltasofia noveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway
AT dinizfrancisca noveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway
AT santosluciolara noveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway
AT videirajoseflavio noveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway
AT henriquerui noveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway
AT jeronimocarmen noveldnamethylationpanelaccuratelydetectscolorectalcancerindependentlyofmolecularpathway