Cargando…

A DNA methylation signature to improve survival prediction of gastric cancer

BACKGROUND: The current Union International Committee on Cancer or the American Joint Committee on Cancer TNM stage system has shown valuable but insufficient estimation for subsets of gastric cancer and prediction for prognosis patients. Thus, there is an urgent need to identify diagnostic, prognos...

Descripción completa

Detalles Bibliográficos
Autores principales: Peng, Yaojun, Wu, Qiyan, Wang, Lingxiong, Wang, Huan, Yin, Fan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6972030/
https://www.ncbi.nlm.nih.gov/pubmed/31959204
http://dx.doi.org/10.1186/s13148-020-0807-x
_version_ 1783489838879604736
author Peng, Yaojun
Wu, Qiyan
Wang, Lingxiong
Wang, Huan
Yin, Fan
author_facet Peng, Yaojun
Wu, Qiyan
Wang, Lingxiong
Wang, Huan
Yin, Fan
author_sort Peng, Yaojun
collection PubMed
description BACKGROUND: The current Union International Committee on Cancer or the American Joint Committee on Cancer TNM stage system has shown valuable but insufficient estimation for subsets of gastric cancer and prediction for prognosis patients. Thus, there is an urgent need to identify diagnostic, prognostic, and predictive biomarkers to improve patients’ outcomes. Our aim was to perform an integrative analysis on publicly available datasets to identify epigenetic changes that may play key role in the initiation and progression of gastric cancer, based on which we set to develop a DNA methylation signature to improve survival prediction of gastric cancer. RESULTS: A total of 340 methylation-related differentially expression genes (mrDEGs) were screened in gastric cancer patients from The Cancer Genome Atlas (TCGA) project. Pathway enrichment analysis revealed that they were involved in the biological process related to initiation and progression of gastric cancer. Based on the mrDEGs identified, we developed a DNA methylation signature consisting of ten gene members (SCNN1B, NFE2L3, CLDN2, RBPMS2, JPH2, GBP6, COL4A5, SMKR1, PPP1R14A, and ARL4D) according to their methylation β value. This innovative DNA methylation signature was associated with cancer recurrence, while it showed independence of cancer recurrence and TNM stage for survival prediction. Combination of this DNA methylation signature and TNM stage improved overall survival prediction in the receiver operating characteristic analysis. We also verified that two individual genes (PPP1R14A and SCNN1B) of the identified prognostic signature were regulated by promoter region methylation in a panel of gastric cell lines. CONCLUSIONS: This study presents a powerful DNA methylation signature by performing analyses integrating multi-source data including transcriptome, methylome, and clinical outcome of gastric cancer patients from TCGA. The identified DNA methylation signature may be used to refine the current prognostic model and facilitate further stratification of patients in the future clinical trials. Further experimental studies are warranted to unveil the regulatory mechanism and functional role of all the individual genes of the DNA methylation signature. Also, clinical investigations in large GC patient cohorts are greatly needed to validate our findings.
format Online
Article
Text
id pubmed-6972030
institution National Center for Biotechnology Information
language English
publishDate 2020
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-69720302020-01-27 A DNA methylation signature to improve survival prediction of gastric cancer Peng, Yaojun Wu, Qiyan Wang, Lingxiong Wang, Huan Yin, Fan Clin Epigenetics Research BACKGROUND: The current Union International Committee on Cancer or the American Joint Committee on Cancer TNM stage system has shown valuable but insufficient estimation for subsets of gastric cancer and prediction for prognosis patients. Thus, there is an urgent need to identify diagnostic, prognostic, and predictive biomarkers to improve patients’ outcomes. Our aim was to perform an integrative analysis on publicly available datasets to identify epigenetic changes that may play key role in the initiation and progression of gastric cancer, based on which we set to develop a DNA methylation signature to improve survival prediction of gastric cancer. RESULTS: A total of 340 methylation-related differentially expression genes (mrDEGs) were screened in gastric cancer patients from The Cancer Genome Atlas (TCGA) project. Pathway enrichment analysis revealed that they were involved in the biological process related to initiation and progression of gastric cancer. Based on the mrDEGs identified, we developed a DNA methylation signature consisting of ten gene members (SCNN1B, NFE2L3, CLDN2, RBPMS2, JPH2, GBP6, COL4A5, SMKR1, PPP1R14A, and ARL4D) according to their methylation β value. This innovative DNA methylation signature was associated with cancer recurrence, while it showed independence of cancer recurrence and TNM stage for survival prediction. Combination of this DNA methylation signature and TNM stage improved overall survival prediction in the receiver operating characteristic analysis. We also verified that two individual genes (PPP1R14A and SCNN1B) of the identified prognostic signature were regulated by promoter region methylation in a panel of gastric cell lines. CONCLUSIONS: This study presents a powerful DNA methylation signature by performing analyses integrating multi-source data including transcriptome, methylome, and clinical outcome of gastric cancer patients from TCGA. The identified DNA methylation signature may be used to refine the current prognostic model and facilitate further stratification of patients in the future clinical trials. Further experimental studies are warranted to unveil the regulatory mechanism and functional role of all the individual genes of the DNA methylation signature. Also, clinical investigations in large GC patient cohorts are greatly needed to validate our findings. BioMed Central 2020-01-20 /pmc/articles/PMC6972030/ /pubmed/31959204 http://dx.doi.org/10.1186/s13148-020-0807-x Text en © The Author(s). 2020 Open Access This 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
Peng, Yaojun
Wu, Qiyan
Wang, Lingxiong
Wang, Huan
Yin, Fan
A DNA methylation signature to improve survival prediction of gastric cancer
title A DNA methylation signature to improve survival prediction of gastric cancer
title_full A DNA methylation signature to improve survival prediction of gastric cancer
title_fullStr A DNA methylation signature to improve survival prediction of gastric cancer
title_full_unstemmed A DNA methylation signature to improve survival prediction of gastric cancer
title_short A DNA methylation signature to improve survival prediction of gastric cancer
title_sort dna methylation signature to improve survival prediction of gastric cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6972030/
https://www.ncbi.nlm.nih.gov/pubmed/31959204
http://dx.doi.org/10.1186/s13148-020-0807-x
work_keys_str_mv AT pengyaojun adnamethylationsignaturetoimprovesurvivalpredictionofgastriccancer
AT wuqiyan adnamethylationsignaturetoimprovesurvivalpredictionofgastriccancer
AT wanglingxiong adnamethylationsignaturetoimprovesurvivalpredictionofgastriccancer
AT wanghuan adnamethylationsignaturetoimprovesurvivalpredictionofgastriccancer
AT yinfan adnamethylationsignaturetoimprovesurvivalpredictionofgastriccancer
AT pengyaojun dnamethylationsignaturetoimprovesurvivalpredictionofgastriccancer
AT wuqiyan dnamethylationsignaturetoimprovesurvivalpredictionofgastriccancer
AT wanglingxiong dnamethylationsignaturetoimprovesurvivalpredictionofgastriccancer
AT wanghuan dnamethylationsignaturetoimprovesurvivalpredictionofgastriccancer
AT yinfan dnamethylationsignaturetoimprovesurvivalpredictionofgastriccancer