Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Expression data from DHT stimulation vs. control in LNCaP cells

ABSTRACT: Expression data from DHT stimulation vs. control in LNCaP cells LNCaP cells were maintained in phenol red-free RPMI supplemented with 10% charcoal/dextran stripped FCS for three days before stimulation with 100 nM dihydrotestosterone (DHT) for 48 hours

ORGANISM(S): Homo sapiens

SUBMITTER: Ben Wittner

PROVIDER: E-GEOD-14988 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

MYC regulation of a "poor-prognosis" metastatic cancer cell state.

Wolfer Anita A Wittner Ben S BS Irimia Daniel D Flavin Richard J RJ Lupien Mathieu M Gunawardane Ruwanthi N RN Meyer Clifford A CA Lightcap Eric S ES Tamayo Pablo P Mesirov Jill P JP Liu X Shirley XS Shioda Toshi T Toner Mehmet M Loda Massimo M Brown Myles M Brugge Joan S JS Ramaswamy Sridhar S

Proceedings of the National Academy of Sciences of the United States of America 20100204 8

Gene expression signatures are used in the clinic as prognostic tools to determine the risk of individual patients with localized breast tumors developing distant metastasis. We lack a clear understanding, however, of whether these correlative biomarkers link to a common biological network that regulates metastasis. We find that the c-MYC oncoprotein coordinately regulates the expression of 13 different "poor-outcome" cancer signatures. In addition, functional inactivation of MYC in human breast ...[more]

PMID: 20133671

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Project description:Multiple gene expression studies have demonstrated that breast cancer biological diversity is associated with distinct transcriptional programs. Transcription factors, because of their unique ability to coordinate the expression of multiple genes, are speculated to play a role in generating phenotypic plasticity associated with cancer progression including acquired drug resistance. Combinatorial libraries of artificial zinc-finger transcription factors (ZF-TFs) provide a robust means for inducing and understanding various functional components of the cancer phenotype. Herein, we utilized combinatorial ZF-TF library technology to better understand how breast cancer cells acquire resistance to a fulvestrant, a clinically important anti-endocrine therapeutic agent. We isolated six ZF-TF library members capable of inducing stable, long-term anti-endocrine drug-resistance in two independent estrogen receptor positive breast cancer cell lines. Comparative gene expression profile analysis of the ZF-TF-transduced breast cancer cell lines revealed a 72-gene cluster that constituted a common signature for the fulvestrant-resistance phenotype. Pathway enrichment-analysis of gene expression data revealed that the ZF-TF-induced fulvestrant resistance is associated with an estrogen receptor negative-like gene set and four unique myb-regulated gene sets. Furthermore, we identified a set of genes strongly expressed in the ZF-TF-induced fulvestrant-resistant cells that was correlated with a lower probability of distant metastasis-free or death-from-relapse-free survival of breast cancer patients. MCF7-R73 cells, a monoclonal MCF7 subline that is highly sensitive to fulvestrant-induced cytocidal activity, underwent retroviral transduction with the zinc finger transcription factor (ZF-TF) activator library or with a control plasmid encoding only the NF-kB p65 activation domain. Both populations of cells were enriched for transduced cells by selecting for growth in puromycin and for fulvestrant-resistant cells by selecting with 100 nM fulvestrant. After 6 weeks of continuous treatment with fulvestrant, hundreds of drug-resistant colonies emerged from the population of cells infected with the ZF-TF activator library. By contrast, as expected, the control MCF7cell line transduced by NF-kB p65-only underwent massive cell death resulting in the complete absence of resistant colonies. DNA encoding the zinc-finger arrays was rescued by PCR from genomic DNA of pooled fulvestrant-resistant cells. The sequences of the ZF-TFs were determined and 46 unique ZF-TF clones identified. These 46 unique ZF-TFs were re-cloned into the retroviral vector and converted into clonal virus stocks that were used to transduce MCF7-R73 cells. These 46 retrovirally transduced cell populations were then challenged with fulvestrant. As compared with the control MCF-238 cells, MCF7-R73 cells transduced with six unique ZF-TFs demonstrated survival and growth in the presence of 100nM fulvestrant.

Dataset Information

Expression data from DHT stimulation vs. control in LNCaP cells

Publications

MYC regulation of a "poor-prognosis" metastatic cancer cell state.

Similar Datasets

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