Literature DB >> 26174627

Aberrant DNA methylation impacts gene expression and prognosis in breast cancer subtypes.

Balázs Győrffy1,2,3, Giulia Bottai4, Thomas Fleischer5,6, Gyöngyi Munkácsy1, Jan Budczies7, Laura Paladini4, Anne-Lise Børresen-Dale5,6, Vessela N Kristensen5,6,8, Libero Santarpia4.   

Abstract

DNA methylation has a substantial impact on gene expression, affecting the prognosis of breast cancer (BC) patients dependent on molecular subtypes. In this study, we investigated the prognostic relevance of the expression of genes reported as aberrantly methylated, and the link between gene expression and DNA methylation in BC subtypes. The prognostic value of the expression of 144 aberrantly methylated genes was evaluated in ER+/HER2-, HER2+, and ER-/HER2- molecular BC subtypes, in a meta-analysis of two large transcriptomic cohorts of BC patients (n = 1,938 and n = 1,640). The correlation between gene expression and DNA methylation in distinct gene regions was also investigated in an independent dataset of 104 BCs. Survival and Pearson correlation analyses were computed for each gene separately. The expression of 48 genes was significantly associated with BC prognosis (p < 0.05), and 32 of these prognostic genes exhibited a direct expression-methylation correlation. The expression of several immune-related genes, including CD3D and HLA-A, was associated with both relapse-free survival (HR = 0.42, p = 3.5E-06; HR = 0.35, p = 1.7E-08) and overall survival (HR = 0.50, p = 5.5E-04; HR = 0.68, p = 4.5E-02) in ER-/HER2- BCs. On the overall, the distribution of both positive and negative expression-methylation correlation in distinct gene regions have different effects on gene expression and prognosis in BC subtypes. This large-scale meta-analysis allowed the identification of several genes consistently associated with prognosis, whose DNA methylation could represent a promising biomarker for prognostication and clinical stratification of patients with distinct BC subtypes.
© 2015 UICC.

Entities:  

Keywords:  DNA methylation biomarkers; breast cancer subtypes; gene expression; immune genes; prognosis

Mesh:

Substances:

Year:  2015        PMID: 26174627     DOI: 10.1002/ijc.29684

Source DB:  PubMed          Journal:  Int J Cancer        ISSN: 0020-7136            Impact factor:   7.396


  61 in total

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Journal:  Breast Cancer Res Treat       Date:  2016-03-05       Impact factor: 4.872

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Authors:  Chol-Hee Jung; Ee Ming Wong; Liesel M FitzGerald; JiHoon E Joo; Jodee A Gould; Vivien Vasic; Julie K Bassett; Neil O'Callaghan; Tim Nottle; John Pedersen; Graham G Giles; Melissa C Southey
Journal:  Lab Invest       Date:  2018-01-16       Impact factor: 5.662

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Journal:  Epigenetics       Date:  2019-01-31       Impact factor: 4.528

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9.  The association between RAPSN methylation in peripheral blood and breast cancer in the Chinese population.

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Journal:  J Hum Genet       Date:  2021-05-06       Impact factor: 3.172

10.  Identification of methylation-driven genes prognosis signature and immune microenvironment in uterus corpus endometrial cancer.

Authors:  JinHui Liu; ChengJian Ji; Yichun Wang; Cheng Zhang; HongJun Zhu
Journal:  Cancer Cell Int       Date:  2021-07-10       Impact factor: 5.722

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