scholarly journals CpG island shore methylation regulates caveolin-1 expression in breast cancer

Oncogene ◽  
2012 ◽  
Vol 32 (38) ◽  
pp. 4519-4528 ◽  
Author(s):  
X Rao ◽  
J Evans ◽  
H Chae ◽  
J Pilrose ◽  
S Kim ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cpg Island ◽  
Caveolin 1 ◽  
Island Shore

Abstract 5013: CpG island shore methylation regulates caveolin-1 expression in breast cancer

2012 ◽  
Author(s):  
Xi Rao ◽  
Jared Evans ◽  
Heejoon Chae ◽  
Sun Kim ◽  
Yunlong Liu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cpg Island ◽  
Caveolin 1 ◽  
Island Shore

Hyper-methylation of the upstream CpG island shore is a likely mechanism of GPER1 silencing in breast cancer cells

Gene ◽  
2017 ◽  
Vol 614 ◽  
pp. 65-73 ◽  
Author(s):  
Mohan C. Manjegowda ◽  
Paridhi Singhal Gupta ◽  
Anil M. Limaye
Keyword(s):  
Breast Cancer ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Cpg Island ◽  
Island Shore

Maternal anxiety and depression in pregnancy and DNA methylation of the NR3C1 glucocorticoid receptor gene

Epigenomics ◽  
2020 ◽  
Author(s):  
Alexandra E Dereix ◽  
Rachel Ledyard ◽  
Allyson M Redhunt ◽  
Tessa R Bloomquist ◽  
Kasey JM Brennan ◽  
...  
Keyword(s):  
Dna Methylation ◽  
Depressive Symptoms ◽  
Trait Anxiety ◽  
Cpg Island ◽  
Depression Scale ◽  
Maternal Anxiety ◽  
Anxiety And Depression ◽  
Pregnancy Anxiety ◽  
Glucocorticoid Receptor Gene ◽  
Island Shore

Aim: To quantify associations of anxiety and depression during pregnancy with differential cord blood DNA methylation of the glucorticoid receptor ( NR3C1). Materials & methods: Pregnancy anxiety, trait anxiety and depressive symptoms were collected using the Pregnancy Related Anxiety Scale, State-Trait Anxiety Index and Edinburgh Postnatal Depression Scale, respectively. NR3C1 methylation was determined at four methylation sites. Results: DNA methylation of CpG 1 in the NR3C1 CpG island shore was higher in infants born to women with high pregnancy anxiety (β 2.54, 95% CI: 0.49–4.58) and trait anxiety (β 1.68, 95% CI: 0.14–3.22). No significant association was found between depressive symptoms and NR3C1 methylation. Conclusion: We found that maternal anxiety was associated with increased NR3C1 CpG island shore methylation.

scholarly journals Gamma-Normal-Gamma Mixture Model for Detecting Differentially Methylated Loci in Three Breast Cancer Cell Lines

2007 ◽  
Vol 3 ◽  
pp. 117693510700300 ◽  
Author(s):  
Abbas Khalili ◽  
Dustin Potter ◽  
Pearlly Yan ◽  
Lang Li ◽  
Joe Gray ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Mixture Model ◽  
Cell Lines ◽  
Cancer Cell ◽  
Breast Cancer Cell ◽  
Goodness Of Fit ◽  
Cpg Island ◽  
Cancer Cell Lines ◽  
Breast Cancer Cell Lines ◽  
Methylation Profiling

With state-of-the-art microarray technologies now available for whole genome CpG island (CGI) methylation profiling, there is a need to develop statistical models that are specifically geared toward the analysis of such data. In this article, we propose a Gamma-Normal-Gamma (GNG) mixture model for describing three groups of CGI loci: hypomethylated, undifferentiated, and hypermethylated, from a single methylation microarray. This model was applied to study the methylation signatures of three breast cancer cell lines: MCF7, T47D, and MDAMB361. Biologically interesting and interpretable results are obtained, which highlights the heterogeneity nature of the three cell lines. This underlies the premise for the need of analyzing each of the microarray slides individually as opposed to pooling them together for a single analysis. Our comparisons with the fitted densities from the Normal-Uniform (NU) mixture model in the literature proposed for gene expression analysis show an improved goodness of fit of the GNG model over the NU model. Although the GNG model was proposed in the context of single-slide methylation analysis, it can be readily adapted to analyze multi-slide methylation data as well as other types of microarray data.

Caveolin-1 Mediates Inflammatory Breast Cancer Cell Invasion via the Akt1 Pathway and RhoC GTPase

2017 ◽  
Vol 118 (5) ◽  
pp. 1273-1273 ◽  
Author(s):  
Madhura Joglekar ◽  
Weam O. Elbazanti ◽  
Matthew D. Weitzman ◽  
Heather L. Lehman ◽  
Kenneth L. van Golen
Keyword(s):  
Breast Cancer ◽  
Cancer Cell ◽  
Breast Cancer Cell ◽  
Inflammatory Breast Cancer ◽  
Cell Invasion ◽  
Cancer Cell Invasion ◽  
Breast Cancer Cell Invasion ◽  
Caveolin 1 ◽  
Rhoc Gtpase ◽  
Inflammatory Breast Cancer Cell

scholarly journals Caveolin-1 is a prognostic marker and suppresses the proliferation of breast cancer

2021 ◽  
Vol 10 (8) ◽  
pp. 3797-3810
Author(s):  
Liping Ren ◽  
Peijuan Zhou ◽  
Huajia Wu ◽  
Yuqi Liang ◽  
Rui Xu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Prognostic Marker ◽  
Caveolin 1
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