Cargando…
A DNA methylation-based test for esophageal cancer detection
BACKGROUND: Esophageal cancer (ECa) is the 7th most incident cancer and the 6th leading cause of cancer-related death. Most patients are diagnosed with locally advanced or metastatic disease, enduring poor survival. Biomarkers enabling early cancer detection may improve patient management, treatment...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691099/ https://www.ncbi.nlm.nih.gov/pubmed/33292587 http://dx.doi.org/10.1186/s40364-020-00248-7 |
_version_ | 1783614217058779136 |
---|---|
author | Salta, Sofia Macedo-Silva, Catarina Miranda-Gonçalves, Vera Lopes, Nair Gigliano, Davide Guimarães, Rita Farinha, Mónica Sousa, Olga Henrique, Rui Jerónimo, Carmen |
author_facet | Salta, Sofia Macedo-Silva, Catarina Miranda-Gonçalves, Vera Lopes, Nair Gigliano, Davide Guimarães, Rita Farinha, Mónica Sousa, Olga Henrique, Rui Jerónimo, Carmen |
author_sort | Salta, Sofia |
collection | PubMed |
description | BACKGROUND: Esophageal cancer (ECa) is the 7th most incident cancer and the 6th leading cause of cancer-related death. Most patients are diagnosed with locally advanced or metastatic disease, enduring poor survival. Biomarkers enabling early cancer detection may improve patient management, treatment effectiveness, and survival, are urgently needed. In this context, epigenetic-based biomarkers such as DNA methylation are potential candidates. METHODS: Herein, we sought to identify and validate DNA methylation-based biomarkers for early detection and prediction of response to therapy in ECa patients. Promoter methylation levels were assessed in a series of treatment-naïve ECa, post-neoadjuvant treatment ECa, and normal esophagus tissues, using quantitative methylation-specific PCR for COL14A1, GPX3, and ZNF569. RESULTS: ZNF569 methylation (ZNF569me) levels significantly differed between ECa and normal samples (p < 0.001). Moreover, COL14A1 methylation (COL14A1me) and GPX3 methylation (GPX3me) levels discriminated adenocarcinomas and squamous cell carcinomas, respectively, from normal samples (p = 0.002 and p = 0.009, respectively). COL14A1me & ZNF569me accurately identified adenocarcinomas (82.29%) whereas GPX3me & ZNF569me identified squamous cell carcinomas with 81.73% accuracy. Furthermore, ZNF569me and GPX3me levels significantly differed between normal and pre-treated ECa. CONCLUSION: The biomarker potential of a specific panel of methylated genes for ECa was confirmed. These might prove useful for early detection and might allow for the identification of minimal residual disease after adjuvant therapy. |
format | Online Article Text |
id | pubmed-7691099 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-76910992020-11-30 A DNA methylation-based test for esophageal cancer detection Salta, Sofia Macedo-Silva, Catarina Miranda-Gonçalves, Vera Lopes, Nair Gigliano, Davide Guimarães, Rita Farinha, Mónica Sousa, Olga Henrique, Rui Jerónimo, Carmen Biomark Res Research BACKGROUND: Esophageal cancer (ECa) is the 7th most incident cancer and the 6th leading cause of cancer-related death. Most patients are diagnosed with locally advanced or metastatic disease, enduring poor survival. Biomarkers enabling early cancer detection may improve patient management, treatment effectiveness, and survival, are urgently needed. In this context, epigenetic-based biomarkers such as DNA methylation are potential candidates. METHODS: Herein, we sought to identify and validate DNA methylation-based biomarkers for early detection and prediction of response to therapy in ECa patients. Promoter methylation levels were assessed in a series of treatment-naïve ECa, post-neoadjuvant treatment ECa, and normal esophagus tissues, using quantitative methylation-specific PCR for COL14A1, GPX3, and ZNF569. RESULTS: ZNF569 methylation (ZNF569me) levels significantly differed between ECa and normal samples (p < 0.001). Moreover, COL14A1 methylation (COL14A1me) and GPX3 methylation (GPX3me) levels discriminated adenocarcinomas and squamous cell carcinomas, respectively, from normal samples (p = 0.002 and p = 0.009, respectively). COL14A1me & ZNF569me accurately identified adenocarcinomas (82.29%) whereas GPX3me & ZNF569me identified squamous cell carcinomas with 81.73% accuracy. Furthermore, ZNF569me and GPX3me levels significantly differed between normal and pre-treated ECa. CONCLUSION: The biomarker potential of a specific panel of methylated genes for ECa was confirmed. These might prove useful for early detection and might allow for the identification of minimal residual disease after adjuvant therapy. BioMed Central 2020-11-25 /pmc/articles/PMC7691099/ /pubmed/33292587 http://dx.doi.org/10.1186/s40364-020-00248-7 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Salta, Sofia Macedo-Silva, Catarina Miranda-Gonçalves, Vera Lopes, Nair Gigliano, Davide Guimarães, Rita Farinha, Mónica Sousa, Olga Henrique, Rui Jerónimo, Carmen A DNA methylation-based test for esophageal cancer detection |
title | A DNA methylation-based test for esophageal cancer detection |
title_full | A DNA methylation-based test for esophageal cancer detection |
title_fullStr | A DNA methylation-based test for esophageal cancer detection |
title_full_unstemmed | A DNA methylation-based test for esophageal cancer detection |
title_short | A DNA methylation-based test for esophageal cancer detection |
title_sort | dna methylation-based test for esophageal cancer detection |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7691099/ https://www.ncbi.nlm.nih.gov/pubmed/33292587 http://dx.doi.org/10.1186/s40364-020-00248-7 |
work_keys_str_mv | AT saltasofia adnamethylationbasedtestforesophagealcancerdetection AT macedosilvacatarina adnamethylationbasedtestforesophagealcancerdetection AT mirandagoncalvesvera adnamethylationbasedtestforesophagealcancerdetection AT lopesnair adnamethylationbasedtestforesophagealcancerdetection AT giglianodavide adnamethylationbasedtestforesophagealcancerdetection AT guimaraesrita adnamethylationbasedtestforesophagealcancerdetection AT farinhamonica adnamethylationbasedtestforesophagealcancerdetection AT sousaolga adnamethylationbasedtestforesophagealcancerdetection AT henriquerui adnamethylationbasedtestforesophagealcancerdetection AT jeronimocarmen adnamethylationbasedtestforesophagealcancerdetection AT saltasofia dnamethylationbasedtestforesophagealcancerdetection AT macedosilvacatarina dnamethylationbasedtestforesophagealcancerdetection AT mirandagoncalvesvera dnamethylationbasedtestforesophagealcancerdetection AT lopesnair dnamethylationbasedtestforesophagealcancerdetection AT giglianodavide dnamethylationbasedtestforesophagealcancerdetection AT guimaraesrita dnamethylationbasedtestforesophagealcancerdetection AT farinhamonica dnamethylationbasedtestforesophagealcancerdetection AT sousaolga dnamethylationbasedtestforesophagealcancerdetection AT henriquerui dnamethylationbasedtestforesophagealcancerdetection AT jeronimocarmen dnamethylationbasedtestforesophagealcancerdetection |