Article
Novel agents for the prevention of breast cancer: targeting transcription factors and signal transduction pathways.
Breast Center, Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, Texas, USA.
Journal of Mammary Gland Biology and Neoplasia (impact factor:
6.74).
02/2003;
8(1):45-73.
pp.45-73
Source: PubMed
-
Citations (0)
- Cited In (3)
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Article: The Role of Master Regulators in the Metabolic/ Transcriptional Coupling in Breast Carcinomas
[show abstract] [hide abstract]
ABSTRACT: Metabolic transformations have been reported as involved in neoplasms survival. This suggests a role of metabolic pathways as potential cancer pharmacological targets. Modulating tumor's energy production pathways may become a substantial research area for cancer treatment. The significant role of metabolic deregulation as inducing transcriptional instabilities and consequently whole-system failure, is thus of foremost importance. By using a data integration approach that combines experimental evidence for high-throughput genome wide gene expression, a non-equilibrium thermodynamics analysis, nonlinear correlation networks as well as database mining, we were able to outline the role that transcription factors MEF2C and MNDA may have as main master regulators in primary breast cancer phenomenology, as well as the possible interrelationship between malignancy and metabolic dysfunction. The present findings are supported by the analysis of 1191 whole genome gene expression experiments, as well as probabilistic inference of gene regulatory networks, and non-equilibrium thermodynamics of such data. Other evidence sources include pathway enrichment and gene set enrichment analyses, as well as motif comparison with a comprehensive gene regulatory network (of homologue genes) in Arabidopsis thaliana. Our key finding is that the non-equilibrium free energies provide a realistic description of transcription factor activation that when supplemented with gene regulatory networks made us able to find deregulated pathways. These analyses also suggest a novel potential role of transcription factor energetics at the onset of primary tumor development. Results are important in the molecular systems biology of cancer field, since deregulation and coupling mechanisms between metabolic activity and transcriptional regulation can be better understood by taking into account the way that master regulators respond to physicochemical constraints imposed by different phenotypic conditions. Citation: Baca-Ló pez K, Mayorga M, Hidalgo-Miranda A, Gutiérrez-Nájera N, Hernández-Lemus E (2012) The Role of Master Regulators in the Metabolic/ Transcriptional Coupling in Breast Carcinomas. PLoS ONE 7(8): e42678. Copyright: ß 2012 Baca-Ló pez et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: The authors gratefully acknowledge support by grant: PIUTE10-92 El Instituto de Ciencia y Tecnología del Distrito Federal (ICyT-DF) [Contract 281-2010], as well as federal funding from the National Institute of Genomic Medicine (Mexico). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing Interests: The authors have declared that no competing interests exist.PLoS ONE 08/2012; 7(8). · 4.09 Impact Factor -
Chapter: Breast Cancer from Molecular Point of View: Pathogenesis and Biomarkers
12/2011; , ISBN: 978-953-307-766-6 -
Article: The role of master regulators in the metabolic/transcriptional coupling in breast carcinomas.
[show abstract] [hide abstract]
ABSTRACT: Metabolic transformations have been reported as involved in neoplasms survival. This suggests a role of metabolic pathways as potential cancer pharmacological targets. Modulating tumor's energy production pathways may become a substantial research area for cancer treatment. The significant role of metabolic deregulation as inducing transcriptional instabilities and consequently whole-system failure, is thus of foremost importance. By using a data integration approach that combines experimental evidence for high-throughput genome wide gene expression, a non-equilibrium thermodynamics analysis, nonlinear correlation networks as well as database mining, we were able to outline the role that transcription factors MEF2C and MNDA may have as main master regulators in primary breast cancer phenomenology, as well as the possible interrelationship between malignancy and metabolic dysfunction. The present findings are supported by the analysis of 1191 whole genome gene expression experiments, as well as probabilistic inference of gene regulatory networks, and non-equilibrium thermodynamics of such data. Other evidence sources include pathway enrichment and gene set enrichment analyses, as well as motif comparison with a comprehensive gene regulatory network (of homologue genes) in Arabidopsis thaliana. Our key finding is that the non-equilibrium free energies provide a realistic description of transcription factor activation that when supplemented with gene regulatory networks made us able to find deregulated pathways. These analyses also suggest a novel potential role of transcription factor energetics at the onset of primary tumor development. Results are important in the molecular systems biology of cancer field, since deregulation and coupling mechanisms between metabolic activity and transcriptional regulation can be better understood by taking into account the way that master regulators respond to physicochemical constraints imposed by different phenotypic conditions.PLoS ONE 01/2012; 7(8):e42678. · 4.09 Impact Factor
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Keywords
abnormal amplification
breast cancer development
breast cancer incidence
breast tumorigenesis
cancer preventive therapy
clinical trials
cyclooxygenase 2
estrogen receptor
future chemopreventive drugs
growth signals
mammary gland tumorigenesis
mammary tumorigenesis
Multiple alterations
newly-developed synthetic
novel signal transduction inhibitors
promising novel agents
Receptor selective retinoids
signal transducers
signal transduction pathways
tumor suppressor genes