2016
DOI: 10.1007/s10549-016-4004-8
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Integrated analysis of gene expression and methylation profiles of 48 candidate genes in breast cancer patients

Abstract: Our results demonstrated the complex correlation and the possible regulatory mechanisms between DNA methylation and gene expression. Integration analysis of methylation and expression of candidate genes could improve performance in breast cancer prediction. These findings would contribute to molecular characterization and identification of biomarkers for potential clinical applications.

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Cited by 33 publications
(26 citation statements)
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“…AKT1 showed significant difference of expression between tumor and normal tissue in TCGA but with higher expression in tumor. The discrepancy observed here is most likely related to the differences in detection methods, stage or type of breast tumor, and even the differences in race or ethnicity [36]. …”
Section: Discussionmentioning
confidence: 99%
“…AKT1 showed significant difference of expression between tumor and normal tissue in TCGA but with higher expression in tumor. The discrepancy observed here is most likely related to the differences in detection methods, stage or type of breast tumor, and even the differences in race or ethnicity [36]. …”
Section: Discussionmentioning
confidence: 99%
“…In addition to the 29 genes we studied here, 6 more telomere related genes ( CTC1, MRE11, TRF2, UPF, TIN2 , and TNKS2 ) were beyond the online software's parameters for promoter methylation primer design and were excluded from the study. The other two crucial genes TERT and WRN have been studied in our previous methylation and expression analysis [40, 41]. To our knowledge, this is the first comprehensive study of methylation on a large number (29) of telomere related genes in a relative large number of samples (184 breast cancer patients).…”
Section: Discussionmentioning
confidence: 99%
“…However lately, a more complex pattern has been reported that gene expression and methylation may be both positively and negatively correlated [41, 51]. Clinically relevant aberrant methylation may serve as a potential biomarker which is not always linked with changes in gene expression [52].…”
Section: Discussionmentioning
confidence: 99%
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