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Epigenetic Control of Tamoxifen Resistant Breast Cancer Kristin Williams Arcaro Lab Thesis Resarch June 25, 2012 Kristin Williams Arcaro Lab Thesis Resarch June 25, 2012
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Parent cell line Estrogen Receptor Positive Bind estrogen Non-invasive Rounded morphology Express luminal cytokeratins Majority of cells in G0/G1 phase MCF-7TMX2-28 Single clone from MCF-7 cells cultured in Tamoxifen for 6 months Estrogen Receptor Negative (both protein and mRNA) Triple-negative (ER, PR, HER2) Migratory & Invasive Similar cellular morphology to MCF-7 Express basal and luminal cytokeratins Display altered cell cycle from MCF-7 with the majority of the cells in S & G2/M phase TMX2-11 Single clone from MCF-7 cells cultured in Tamoxifen for 6 months Estrogen Receptor Positive Bind estrogen ~1.5- fold more than MCF-7 Non-invasive Cellular morphology similar to MCF-7 Unknown cytokeratin expression Cell cycle analysis preliminary data similar to MCF-7
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✦ Objective: Further understand the role that epigenetics, specifically promoter methylation, plays in antiestrogen resistant breast cancer ✦ Goal: Determine the extent to which DNA methylation contributes to antiestrogen resistance through use of tamoxifen-resistant and -sensitive cell lines and breast tumor tissue samples
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✦ Hypothesis: Methylation of genes involved in cell cycle control, DNA repair, apoptosis, and cell survival plays a role in acquired anti-estrogen resistance
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Overview of Study Design Aim 1 ✦ Identify signaling pathways that are differentially methylated in tamoxifen-sensitive and tamoxifen-selected ER-positive and ER-negative cell cultures and confirm by pyrosequencing. Aim 2 ✦ Determine if combined treatment with methylase/demethylase and an antiestrogen reverses the methylation alterations and hormone-resistance of tamoxifen-selected ER-positive and ER-negative cell lines. Aim 3 ✦ Determine whether genes differentially methylated in tamoxifen-resistant cells are similarly methylated in vivo.
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HumanMethylation450 Study Design ✦ What pathways involved in tamoxifen resistance are altered by promoter methylation?
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Multidimensional Scaling Shows Methylation Changes (Arbitrary Units) ✦ Uses differences in raw Beta values of 1000 most variable CpG sites as a similarity measure ✦ MDS plot is a way of visualizing relationship between samples based on the similarity measure ✦ Differences in epigenomic profiles
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Dendrogram Mimics Findings in MDS Plot ✦ Shows greatest similarity between MCF-7 and Estrogen treated MCF-7 ✦ TMX2-11 is more similar to MCF-7 than TMX2-28
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MCF-7 vs. TMX2-11 MCF-7 AVG Beta TMX2-11AVG Beta
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MCF-7 vs. TMX2-28 MCF-7 AVG Beta TMX2-28 AVG Beta
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What has been done so far: ✦ In TamR lines, filtered for CpG sites that had >2 fold change, >0.2 average Beta value and detection p-value <0.01. ✦ 4,091 CpG sites TMX2-11 ✦ 33,748 CpG sites TMX2-28 ✦ Also filtered for <-2 fold change, <0.2 average Beta value and detection p-value <0.01. ✦ 2,591 CpG sites TMX2-11 ✦ 5,244 CpG sites TMX2-28 Selected for TMX lines for all filters
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What needs to be done: ✦ Ensure data are filtered correctly ✦ Better method of data selection? ✦ Run genes represented by CpG sites in filtered data through pathway analysis program ✦ Estrogen responsive genes filtered out? ✦ Determine interesting/promising genes differentially methylated between TMX lines and MCF-7 ✦ Design and run pyrosequencing assays on selected genes
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MCF-7 vs. Estradiol (E 2 ) treated MCF-7 MCF-7 AVG Beta E 2 treated MCF-7 AVG Beta Cells were treated for 14 days with 10 -10 M Estradiol
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MCF-7 TMX2-11 TMX2-28 Promoter region
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