Vignesh Ramachandran SMART Summer Research Program

Slides:



Advertisements
Similar presentations
 2013 Genentech USA, Inc. All rights reserved. Disclosure/Disclaimer The Molecular Basis of Gliomas slide presentation is not an independent educational.
Advertisements

MiRNA-drug resistance mechanisms Summary Hypothesis: The interplay between miRNAs, signaling pathways and epigenetic and genetic alterations are responsible.
 MicroRNAs (miRNAs) are a class of small RNA molecules, about ~21 nucleotide (nt) long.  MicroRNA are small non coding RNAs (ncRNAs) that regulate.
Retinoic Acid Receptor Alpha and Acute Promyelocytic Leukemia Nidhi Thapar April 1, 2004.
Genetic and Molecular Epidemiology
Malignant Melanoma and CDKN2A
CELLULAR BIOLOGY IN BREAST CANCER JESSE ELLMAN MD SEPT 2010 CLINICAL ASSISTANT PROFESSOR DEPT OB GYN AND WOMENS HEALTH WE MAY BE ENTERING A NEW PHASE.
Tumor genetics Minna Thullberg
Advanced Cancer Topics Journal Review 4/16/2009 AD.
The aim of my research is to establish a relation among diseases, physiological processes and the action of small molecules like mithramycin Our goal.
Co-supervisor: Prof Richard Lock
FUNCTIONAL GENOMICS REVEAL THAT THE SERINE SYNTHESIS PATHWAY IS ESSENTIAL IN BREAST CANCER Introduction: Tim Butler Spellman Lab.
Acknowledgement of funding Regulator of G-protein signaling 5 blunts cellular viability mediated by a stabilized lysophosphatidic acid analogue (2S-OMPT)
Computational biology of cancer cell pathways Modelling of cancer cell function and response to therapy.
Functional interactions between calmodulin and estrogen receptor-α
SP Cancer Metastasis Summary Hypothesis: We hypothesize that miRNAs regulate breast cancer cell invasiveness and metastasis by synergistically targeting.
Determining the Effect of Triclosan on the Growth of Cancer Cells Lydia Alf and Winnifred Bryant Ph. D. Department of Biology University of Wisconsin,
The Role and Mechanism of PPAR  in the Transcriptional Regulation of its Target Genes Jinlu Cai 1, Henry L. Keen 2,Thomas L. Casavant 3,4,5, and Curt.
© 2005 Prentice Hall Inc. / A Pearson Education Company / Upper Saddle River, New Jersey Lung Cancer and Gefitinib  Lung cancer statistics in the.
Biochemistry Sixth Edition Chapter 31 The Control of Gene Expression Part II: Eukaryotes (cis vs. trans) Copyright © 2007 by W. H. Freeman and Company.
Relationship Between STAT3 Inhibition and the Presence of p53 on Cyclin D1 Gene Expression in Human Breast Cancer Cell Lines Introduction STAT3 and p53.
Retinoic Acid Receptor α Acute Promyelocytic Leukemia Michi Nair.
Targeting of reactive oxygen species can be a potential therapeutic strategy for cancer treatment Ying-Ray Lee 1, San-Yuan Chen 2, and Hau-Ren Chen 3 1.
Estrogen-Regulated Genes Predict Survival in Hormone Receptor–Positive Breast Cancers J Clin Oncol 24: Daniel S. Oh, Melissa A. Troester,
RA and HDACi synergistically induce colon cancer cell apoptosis via RARβ and Nur77 upregulation and nuclear export Thinh Chau, Ying Hu, Yu-Jui Yvonne Wan.
Samsung Genome Institute Samsung Medical Center
Training Set Clinicopathological parameters of the training set
Novel Transcription Factor Inhibitor as Treatment for Epithelial Cell Cancers John Bushweller, Department of Molecular Physiology and Biological Physics,
Estrogen receptor-α directly regulates the hypoxia inducible factor 1 pathway associated with antiestrogen response in breast cancer PNAS (49)
Epithelial-to-Mesenchymal Transitions Circulating Tumor Cells
A B C ErbB3 protein levels ERBB3 mRNA levels P = P = 0.716
Monica Britton, Ph.D. Sr. Bioinformatics Analyst June 2016 Workshop
The Mammosphere- Use of 3D tumor models to study Breast Cancer
Figure 2. DNA methylation mediated MORT gene silencing is linked to luminal, receptor positive breast cancers. (A) MORT expression level plotted versus.
Table of Contents Section 1 Control of Gene Expression
Epithelial-to-Mesenchymal Transitions Circulating Tumor Cells
Epithelial-to-Mesenchymal Transitions Circulating Tumor Cells
A model of the interaction of a steroid, S (eg, cortisol), and its receptor, R, and the subsequent events in a target cell. The steroid is present in the.
Supplementary Figure 1: Clinical parameters of the breast tumor samples used for the study. IDC = Invasive ductal carcinoma and ILC= Invasive Lobular.
Multimodal Assessment of Estrogen Receptor mRNA Profiles to Quantify Estrogen Pathway Activity in Breast Tumors  Anita Muthukaruppan, Annette Lasham,
Peyton Rous discovered a virus that causes cancer in chickens
Figure S1. DCYTB expression is higher in ER+ than ER- patients
A Functional Map of Oncogenic States for Breast Cancer
detection using ECL kit
Structural Bioinformatics in Drug Discovery
Epithelial-to-Mesenchymal Transitions Circulating Tumor Cells
Group IIa secretory phospholipase expression correlates with group IIa secretory phospholipase inhibition–mediated cell death in K-ras mutant lung cancer.
Loyola Marymount University
Transcriptional Signature of Histone Deacetylases in Breast cancer
Figure 2 Oestrogen receptor signalling pathways
Targeted Therapies in Melanoma: Translational Research at Its Finest
Selective estrogen receptor modulation
Volume 13, Issue 5, Pages (March 2004)
Review Warm-Up What is the Central Dogma?
Transcriptional Addiction in Cancer
Epigenetics modification
Volume 5, Issue 6, Pages (June 2004)
Volume 19, Issue 8, Pages (August 2011)
Loyola Marymount University
Factors that Mediate and Modulate Androgen Action
Smoothing Out Drug Resistance
Altered Caspase-8 Expression
Loyola Marymount University
Loyola Marymount University
Loyola Marymount University
Figure 1. Identification of differentially expressed messenger RNAs (mRNAs) in the The Cancer Genome Atlas (TCGA) BRCA database. (A) Heat map of the log2-fold.
EGFR and cetuximab sensitivity of SCCUAT
VC KX-01 Total Src p-Y416 Src Supplementary Figure S1. KX-01 at low dose inhibited phosphorylation of Src in MDA-MB-231 xenografts.
The Role of TIPE2 Protein in Invasive Breast Carcinoma
Schematic representation of signaling pathways associated with cannabinoid receptor activation induced by its agonists. Schematic representation of signaling.
Presentation transcript:

Identifying compounds that inhibit the transcription factor GATA3 in MCF-7 breast cancer cells Vignesh Ramachandran SMART Summer Research Program Department of Molecular and Cellular Biology Baylor College of Medicine

Breast cancer facts Breast cancer is the 2nd leading cause of cancer death in women, exceeded only by lung cancer1 An estimated 1.7 million new breast cancer cases occurred worldwide among women in 20122 Breast cancer accounted for 521,000 deaths worldwide in 20123 American Cancer Society Susan G. Komen World Health Organization

ER+ breast cancers are the most common types Subtype  These tumors tend to be   Prevalence (approximate)  Luminal A ER+ and/or PR+, HER2-, low Ki67 40% Luminal B ER+ and/or PR+, HER2+ (or HER2- with high Ki67) 20% Triple negative/basal-like ER-, PR-, HER2- 15-20% HER2 type ER-, PR-, HER2+ 10-15% ER+ breast cancers are defined by being positive for and driven by ERα provides a means to find targeted treatments, which typically have less harmful side effects than traditional chemotherapy ERα interacts with the transcription factor GATA3 Table obtained from: Susan G. Komen

GATA3 mRNA levels correlate with that of ERα GATA-3 binds to two cis-regulatory elements located within the ERα gene, and this is required for RNA polymerase II recruitment to ERα promoters. Reciprocally, ERα directly stimulates the transcription of the GATA-3 gene, indicating that these two factors are involved in a positive cross-regulatory loop GATA3 participates with ERα (ESR1) in a complex, positive cross-regulatory loop that drives tumor growth4 Table constructed in: cBioPortal for Cancer Genomics Dataset: Breast Invasive Carcinoma (TCGA, Nature 2012) 4. Brown et al. (2007)

GATA3 mutations and mRNA levels correlate with ERα mRNA levels GATA3 mutated ESR1 mutated Both mutated Neither mutated ESR1, mRNA expression (microarray) Graph constructed in: cBioPortal for Cancer Genomics Dataset: Breast Invasive Carcinoma (TCGA, Nature 2012) GATA3, mRNA expression (microarray)

GATA3 mutations are driver mutations in breast cancers Cross-cancer alteration summary for GATA3 (69 studies / 1 genes) Red – Amplification Green – Mutation Blue – Deletion Grey – Multiple alterations Graph obtained from: cBioPortal for Cancer Genomics Dataset: Breast Invasive Carcinoma (TCGA, Nature 2012)

GATA3 mutations are heavily concentrated at the C-terminus Second zinc finger determines DNA binding affinity5 Heterozygosity for the truncating mutation (D336fs) in MCF-7 stabilizes and reduces turnover rate of mutant GATA3 through an undefined mechanism5 Figure obtained from: cBioPortal for Cancer Genomics, 5. Wade et al. (2014)

Hypotheses Tanespimycin, vorinostat, pioglitazone, GW8510, and bexarotene will inhibit GATA3 in MCF-7 cells Compounds that inhibit GATA3 will more effectively reduce cell viability if used in combination with compounds that hinder other cellular proteins implicated in breast cancer (ie. SRC-3 and ERα)

Use of UCSC Cancer Genome Browser GATA3 ESR1 FOXA1 SRC-3 MCF-7 Compounds RXR agonist - RXR act as ligand-dependent transcription factor that functions as heterodimer with retinoid acid receprtor (RAR) to modulate the transcriptional activity of retinoid receptor target genes associated with cell growth and differentiation Compound Function Vorinostat Histone deacetylase (HDAC) inhibitor Tanespimycin Heat shock protein 90 (Hsp90) inhibitor Pioglitazone Peroxisome proliferator-activated receptor gamma (PPAR-γ) agonist GW8510 Cyclin-dependent kinase (CDK) inhibitor Bexarotene Retinoid X receptor (RXR) agonist UCSC Cancer Genome Browser

Cell viability assays GW8510 Vorinostat Pioglitazone Tanespimycin Viable Cells (% of Control) Viable Cells (% of Control) nM (log 10) nM (log 10) Pioglitazone Tanespimycin Viable Cells (% of Control) Viable Cells (% of Control) nM (log 10) nM (log 10) Bexarotene Viable Cells (% of Control) nM (log 10)

Tanespimycin reduced GATA3 and SRC-3 DMSO __GW(nM)_ V (uM)___ D T(uM) DMSO 9.0 3.0 1.0 1.0 0.3 0.1 3.0 1 0.3 GATA3 24 hour treatment 0.35 0.54 0.89 1 0.46 0.60 0.72 1 Abbreviation Compound Name V Vorinostat T Tanespimycin P Pioglitazone GW GW8510 B Bexarotene SRC-3 GAPDH DMSO P(uM) DMSO B(uM) ___ DMSO 3.0 1.0 0.3 9.0 3.0 1.0 0.3 DMSO (D) - Vehicle SRC-3 GATA3 GAPDH

Tanespimycin and vorinostat reduced GATA3 and SRC-3 48 hour treatment DMSO V (uM)______ 0.04 0.2 1.0 2.5 DMSO P (uM)_____ DMSO 0.04 0.2 1.0 2.5 Abbreviation Compound Name V Vorinostat T Tanespimycin P Pioglitazone GW GW8510 B Bexarotene GATA3 1 0.75 0.45 0.21 0.24 1 1.04 0.91 0.42 0.38 SRC-3 GAPDH DMSO (D) - Vehicle DMSO B (uM) DMSO 10 2.0 0.4 0.08 T (uM) GW (nM)___ 2.5 1.0 0.2 0.04 10 5 2.5 GATA3 SRC-3 GAPDH

Combinational Treatment with Tamoxifen (4HT) and Bufalin Tamoxifen is an antagonist of the estrogen receptor via its active metabolite, 4-hydroxytamoxifen; shuts down ERα pathway Bufalin is a potent small-molecule inhibitor of SRC-3, which is implicated in cancer cell proliferation, invasion, and metastasis6 ; inhibit the potential SRC-3 alternative mechanism when the ERα pathway is cut off 6. O’Malley BW, et al. (2014)

Cell viability assays: T and V with Tamoxifen (4HT) or bufalin Viable Cells (% of Control) Combinational treatment with Tamoxifen or bufalin seem to demonstrate additive effects Synergistic effects do not seem evident Concentration of Tanespimycin Viable Cells (% of Control) Concentration of Vorinostat

Go back to hypothesis; restate + answer Future work + implications Summary Hypothesis: Tanespimycin, vorinostat, pioglitazone, GW8510, and bexarotene will inhibit GATA3 Tanespimycin and vorinostat inhibited GATA3 Hypothesis: Compounds that inhibit GATA3 more effective in combinational treatments Combinational treatment with Tamoxifen or bufalin were seemingly not synergistic (an additive effect was observed) Go back to hypothesis; restate + answer Future work + implications Slide thanking peeps Slide per point

Future Work and Implications Investigation of synergistic, combinational compound treatments Use of mouse models to study effectiveness of tanespimycin and vorinostat in vivo Tanespimycin and vorinostat are FDA-approved drugs; clinical trials can be conducted on patients with GATA3 mutations similar to that found in the MCF-7 cell line