Diego M. Marzese, Dave S. B. Hoon, Kelly K. Chong, Francisco E

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Presentation transcript:

DNA Methylation Index and Methylation Profile of Invasive Ductal Breast Tumors  Diego M. Marzese, Dave S.B. Hoon, Kelly K. Chong, Francisco E. Gago, Javier I. Orozco, Olga M. Tello, Laura M. Vargas-Roig, María Roqué  The Journal of Molecular Diagnostics  Volume 14, Issue 6, Pages 613-622 (November 2012) DOI: 10.1016/j.jmoldx.2012.07.001 Copyright © 2012 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

Figure 1 Statistical distances between epigenetic signatures of IDCs. A: Sample distance matrix generated using MultiExperiment Viewer MeV software. The two-color scale indicates the scaled Manhattan distance between the epigenetic signatures of 70 IDCs. Absolute identity (M-dist = 0) is shown white; the greatest distance (M-dist = 1) is shown in black; intermediate distances are shown in shades of gray. B: Epigenetic signatures of two IDCs (cases 43 and 48) with the minimal Manhattan distance. Black squares indicate methylated regions; white squares indicate unmethylated regions. The Journal of Molecular Diagnostics 2012 14, 613-622DOI: (10.1016/j.jmoldx.2012.07.001) Copyright © 2012 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

Figure 2 Frequency distribution of the presence of methylation (defined as dosage ratio ≥8%) for each of 49 analyzed CpG islands among 70 IDCs. The Journal of Molecular Diagnostics 2012 14, 613-622DOI: (10.1016/j.jmoldx.2012.07.001) Copyright © 2012 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

Figure 3 Unsupervised hierarchical cluster analysis of the epigenetic signature of 70 IDCs using the information from 17 genes. The heat map was generated using MultiExperiment Viewer MeV software. A bootstrap value of ≥65% was considered to define a cluster. Red indicates methylated status, green indicates unmethylated status. The Journal of Molecular Diagnostics 2012 14, 613-622DOI: (10.1016/j.jmoldx.2012.07.001) Copyright © 2012 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

Figure 4 Relations between epigenetic alterations and prognostic factors. SAM analysis for methylation of each gene and histological grade (A), proliferation rate (B), and lymph node metastasis (C). Percentage of patients with methylation of TP73 versus histological grade and proliferation rate (D), and with methylation of RARB versus lymph node status (E). Distribution of the number of methylated genes within histological grade (F) and proliferation rate (G). Data are expressed as mean proportion ± SEM (D–E) or as minimum, lower quartile, median, upper quartile, and maximum (F and G). The Journal of Molecular Diagnostics 2012 14, 613-622DOI: (10.1016/j.jmoldx.2012.07.001) Copyright © 2012 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions

Figure 5 Kaplan-Meier curves show the distribution of DFS grouped by patients with MI ≤ 6 versus MI > 6 (A) and OS grouped by patients with MI ≤ 6 versus MI > 6 (B). The Journal of Molecular Diagnostics 2012 14, 613-622DOI: (10.1016/j.jmoldx.2012.07.001) Copyright © 2012 American Society for Investigative Pathology and the Association for Molecular Pathology Terms and Conditions