Comprehensive analysis of prognosis‐related methylated sites in breast carcinoma

Abstract Background Breast carcinoma has become a nonnegligible public health problem in China with its increasing incidence and mortality in woman. As a early event regulating tumorigenesis and development, DNA methylation became one of the focuses of current carcinoma researches on potential diagn...

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Main Authors: Jia Li, Xinzheng Li
Format: Article
Language:English
Published: Wiley 2020-04-01
Series:Molecular Genetics & Genomic Medicine
Subjects:
Online Access:https://doi.org/10.1002/mgg3.1161
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spelling doaj-8199d4e4e8134bc4af87100ca9d95ec52020-11-25T02:38:16ZengWileyMolecular Genetics & Genomic Medicine2324-92692020-04-0184n/an/a10.1002/mgg3.1161Comprehensive analysis of prognosis‐related methylated sites in breast carcinomaJia Li0Xinzheng Li1Department of Breast Surgery Shanxi Provincial Cancer Hospital Taiyuan P.R. ChinaDepartment of Breast Surgery Shanxi Provincial Cancer Hospital Taiyuan P.R. ChinaAbstract Background Breast carcinoma has become a nonnegligible public health problem in China with its increasing incidence and mortality in woman. As a early event regulating tumorigenesis and development, DNA methylation became one of the focuses of current carcinoma researches on potential diagnostic and therapeutic targets. Methods In this study, we comprehensively analyzed the gene expression data and DNA methylation data of breast carcinoma and adjacent normal tissues samples in the Gene Expression Omnibus database. Influences of tumor stage, adjuvant therapy, hormone therapy, and chemotherapy on CpG methylation level were explored by linear regression analysis. Correlations between methylation and gene expression levels were determined by spearman rank correlation analysis. Log‐rank test was applied for determining significance of associations between CpG sites methylation level and breast cancer patients' Kaplan–Meier survival. Results A total of 229 CpG sites were found to be significantly associated with tumor stage or treatment, and eight of which were potential markers that affect the survival of breast carcinoma and negatively correlated with their genes' expression levels. Conclusions We reported eight CpG sites as potential breast cancer prognosis signatures through comprehensively analyzed gene expression and DNA methylation datasets, and excluding influences of tumor stage and treatment. This should be helpful for breast cancer early diagnosis and treatment.https://doi.org/10.1002/mgg3.1161breast carcinomaCpG islandDNA methylationprognosis
collection DOAJ
language English
format Article
sources DOAJ
author Jia Li
Xinzheng Li
spellingShingle Jia Li
Xinzheng Li
Comprehensive analysis of prognosis‐related methylated sites in breast carcinoma
Molecular Genetics & Genomic Medicine
breast carcinoma
CpG island
DNA methylation
prognosis
author_facet Jia Li
Xinzheng Li
author_sort Jia Li
title Comprehensive analysis of prognosis‐related methylated sites in breast carcinoma
title_short Comprehensive analysis of prognosis‐related methylated sites in breast carcinoma
title_full Comprehensive analysis of prognosis‐related methylated sites in breast carcinoma
title_fullStr Comprehensive analysis of prognosis‐related methylated sites in breast carcinoma
title_full_unstemmed Comprehensive analysis of prognosis‐related methylated sites in breast carcinoma
title_sort comprehensive analysis of prognosis‐related methylated sites in breast carcinoma
publisher Wiley
series Molecular Genetics & Genomic Medicine
issn 2324-9269
publishDate 2020-04-01
description Abstract Background Breast carcinoma has become a nonnegligible public health problem in China with its increasing incidence and mortality in woman. As a early event regulating tumorigenesis and development, DNA methylation became one of the focuses of current carcinoma researches on potential diagnostic and therapeutic targets. Methods In this study, we comprehensively analyzed the gene expression data and DNA methylation data of breast carcinoma and adjacent normal tissues samples in the Gene Expression Omnibus database. Influences of tumor stage, adjuvant therapy, hormone therapy, and chemotherapy on CpG methylation level were explored by linear regression analysis. Correlations between methylation and gene expression levels were determined by spearman rank correlation analysis. Log‐rank test was applied for determining significance of associations between CpG sites methylation level and breast cancer patients' Kaplan–Meier survival. Results A total of 229 CpG sites were found to be significantly associated with tumor stage or treatment, and eight of which were potential markers that affect the survival of breast carcinoma and negatively correlated with their genes' expression levels. Conclusions We reported eight CpG sites as potential breast cancer prognosis signatures through comprehensively analyzed gene expression and DNA methylation datasets, and excluding influences of tumor stage and treatment. This should be helpful for breast cancer early diagnosis and treatment.
topic breast carcinoma
CpG island
DNA methylation
prognosis
url https://doi.org/10.1002/mgg3.1161
work_keys_str_mv AT jiali comprehensiveanalysisofprognosisrelatedmethylatedsitesinbreastcarcinoma
AT xinzhengli comprehensiveanalysisofprognosisrelatedmethylatedsitesinbreastcarcinoma
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