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Identification of Differentially Methylated Genes as Diagnostic and Prognostic Biomarkers of Breast Cancer by Xiao-hong Mao; Qiang Ye; Guo-bing Zhang; Jin-ying Jiang; Hong-ying Zhao; Yan-fei Shao; Zi-qi Ye; Zi-xue Xuan; Ping Huang is a Medicine article available to read on EtoBox.

What is Identification of Differentially Methylated Genes as Diagnostic and Prognostic Biomarkers of Breast Cancer about?

## Abstract ## Background Aberrant DNA methylation is significantly associated with breast cancer. ## Methods In this study, we aimed to determine novel methylation biomarkers using a bioinformatics analysis approach that could have clinical value for breast cancer diagnosis and prognosis. Firstly, differentially methylated DNA patterns were detected in breast cancer samples by comparing publicly available datasets (GSE72245 and GSE88883). Methylation levels in 7 selected methylation biomarkers were also estimated using the online tool UALCAN. Next, we evaluated the diagnostic value of these selected biomarkers in two independent cohorts, as well as in two mixed cohorts, through ROC curve analysis. Finally, prognostic value of the selected methylation biomarkers was evaluated breast cancer by the Kaplan-Meier plot analysis. ## Results In this study, a total of 23 significant differentially methylated sites, corresponding to 9 different genes, were identified in breast cancer datasets. Among the 9 identified genes, ADCY4, CPXM1, DNM3, GNG4, MAST1, mir129-2, PRDM14, and ZNF177 were hypermethylated. Importantly, individual value of each selected methylation gene was greater than 0.9,

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Author

Xiao-hong Mao; Qiang Ye; Guo-bing Zhang; Jin-ying Jiang; Hong-ying Zhao; Yan-fei Shao; Zi-qi Ye; Zi-xue Xuan; Ping Huang

Publisher

Springer Science and Business Media LLC

Published

2021

Language

EN

Field

Medicine (Health Sciences)