2010
DOI: 10.1186/bcr2721
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DNA methylation epigenotypes in breast cancer molecular subtypes

Abstract: IntroductionIdentification of gene expression-based breast cancer subtypes is considered a critical means of prognostication. Genetic mutations along with epigenetic alterations contribute to gene-expression changes occurring in breast cancer. So far, these epigenetic contributions to sporadic breast cancer subtypes have not been well characterized, and only a limited understanding exists of the epigenetic mechanisms affected in those particular breast cancer subtypes. The present study was undertaken to disse… Show more

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Cited by 159 publications
(143 citation statements)
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“…Recent studies using array-based methylation analysis have confirmed that the molecular subtypes of breast cancer have subtype-specific methylation profiles. [18][19][20][21] Holm et al 19 demonstrated differences in the methylation profiles of luminal A, luminal B, and basal-like breast cancers, with luminal B and basal-like breast cancers being most and least frequently methylated, respectively. In our study, the number of CpG island loci methylated was highest in the luminal-HER2 subtype and lowest in the basal-like subtype.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Recent studies using array-based methylation analysis have confirmed that the molecular subtypes of breast cancer have subtype-specific methylation profiles. [18][19][20][21] Holm et al 19 demonstrated differences in the methylation profiles of luminal A, luminal B, and basal-like breast cancers, with luminal B and basal-like breast cancers being most and least frequently methylated, respectively. In our study, the number of CpG island loci methylated was highest in the luminal-HER2 subtype and lowest in the basal-like subtype.…”
Section: Discussionmentioning
confidence: 99%
“…[14][15][16][17] Array-based comprehensive DNA methylation profiling has shown that breast cancer molecular subtypes have their own methylation profiles. [18][19][20][21] Moreover, these different methylation profiles were evident throughout the CpG islands of the genome, not limited to functional genes. 20 Kamalakaran et al 20 reported that the methylation patterns of differentially methylated genes in luminal A tumors were similar to those identified in CD24 þ luminal epithelial cells, and those in basal-like tumors resembled those of CD44 þ breast progenitor cells, suggesting that the methylation patterns of the breast cancer subtypes reflect the methylation patterns of their cells of origin.…”
mentioning
confidence: 98%
“…To characterize the vast amount of DNA methylation data generated, comprehensive functional approaches have been initiated and novel tumor suppressor genes and pathways as well as biomarkers for early detection and prognosis prediction of cancer have been discovered. [2][3][4][5][6][7][8][9][10][11] Neurofilament heavy polypeptide (NEFH) has been identified as a candidate DNA hypermethylated gene within the functional breast cancer hypermethylome, a comprehensive approach to define genome-wide functional methylation changes in breast cancer that is based on whole transcriptome expression arrays on breast cancer cell lines after pharmacological inhibition of DNA methylation. 6 NEFH encodes the neurofilament heavy polypeptide and assembles along with neurofilament medium polypeptide (NEFM) and neurofilament light polypeptide (NEFL) into 10 nm filamentous structures known as neurofilaments.…”
Section: Introductionmentioning
confidence: 99%
“…25,33,34 In common with previous reports and across multiple genes, these analyses confirmed and reinforced the array-derived data. 34,35,36 These analyses also showed that for the majority of regions investigated, methylation extended to include contiguous promoter-associated CpG sites. On the basis of previous reports from our own and other groups, 37,38 we employed stringent criteria (b-value differences 0.4) to identify differentially methylated genes across multiple CpG sites; such criteria are more consistently associated with bona fide changes in methylation, and are more likely to show associations with gene expression.…”
Section: Discussionmentioning
confidence: 75%