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. 2014 Sep 24;16:441. doi: 10.1186/s13058-014-0441-7

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© Barrio-Real et al.; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

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Analysis of PREX1 methylation and mRNA expression in the TCGA dataset. Panel A . P-REX1 mRNA expression (left) and promoter methylation (right) in breast tumors and normal breast tissue (*** = P <0.0001). Panel B . P-REX1 mRNA expression (left) and promoter methylation (right) across different breast cancer subtypes (*, P <0.05; **, P <0.01; ***, P <0.001). Panel C . Inverse correlation between P-REX1 mRNA levels and PREX1 methylation in different subtypes of breast tumors and normal breast tissue (Spearman rho = -0.55, P <0.0001). Panel D . P-REX1 mRNA expression (left) and promoter methylation (right) in normal tissue, estrogen receptor (ER)-positive and ER-negative breast tumors (***, P <0.0001). Panel E . Correlation analysis between P-REX1 and ER-alpha expression in different subtypes of human breast tumors and normal breast samples (Spearman rho =0.85, P <0.0001). TCGA, The Cancer Genome Atlas.