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International Journal of Oncology
Article . 2010 . Peer-reviewed
Data sources: Crossref
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Abrogation of p53 function leads to metastatic transcriptome networks that typify tumor progression in human breast cancer xenografts

Authors: D'Assoro AB; Leontovich A; Amato A; Ayers Ringler JR; Quatraro C; Hafner K; Jenkins RB; +5 Authors

Abrogation of p53 function leads to metastatic transcriptome networks that typify tumor progression in human breast cancer xenografts

Abstract

Development of chromosomal instability (CIN) and consequent phenotypic heterogeneity represent common events during breast cancer progression. Breast carcinomas harboring extensive chromosomal aberrations display a more aggressive behavior characterized by chemoresistance and the propensity to give rise to distant metastases. The tumor suppressor p53 plays a key role in the maintenance of chromosomal stability and tissue homeostasis through activation of cell cycle checkpoints following DNA damage and control of centrosome duplication that ensures equal chromosome segregation during cell division. Furthermore, p53 suppresses CD44 expression and the acquisition of stem cell-like properties responsible for epithelial to mesenchymal transition (EMT) and metastasis. In this study we employed MCF-7 breast cancer cells with endogenous wild-type p53, an engineered MCF-7 variant (vMCF-7(DNP53)) overexpressing a dominant negative p53val135 mutant, and cells re-cultured from vMCF-7(DNP53) tumor xenografts. We carried out an integrative transcriptome and cytogenetic analysis to characterize the mechanistic linkage between loss of p53 function, EMT and consequent establishment of invasive gene signatures during breast cancer progression. We demonstrate that abrogation of p53 function drives the early transcriptome changes responsible for cell proliferation, EMT and survival, while further transcriptome changes that occur during in vivo tumor progression are mechanistically linked to the development of CIN leading to a more invasive and metastatic breast cancer phenotype. Here we identified distinct novel non-canonical transcriptome networks involved in cell proliferation, EMT, chemoresistance and invasion that arise following abrogation of p53 function in vitro and development of CIN in vivo. These studies also have important translational implications since some of the nodal genes identified here are 'druggable' making them appropriate molecular targets for the treatment of breast carcinomas displaying mutant p53, EMT, CIN and high metastatic potential.

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Keywords

Epithelial-Mesenchymal Transition, Gene Expression Profiling, Blotting, Western, Transplantation, Heterologous, Mice, Nude, Breast Neoplasms, Microarray Analysis, Breast cancer; Centrosome amplification; Chromosomal instability; Epithelial mysenchymal transition; Invasive gene networks; Tumor cell heterogeneity; Tumor progression, Gene Expression Regulation, Neoplastic, Mice, Microscopy, Fluorescence, Drug Resistance, Neoplasm, Cell Line, Tumor, Disease Progression, Animals, Humans, Female, Neoplasm Invasiveness, Tumor Suppressor Protein p53, Signal Transduction

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    12
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
12
Average
Average
Top 10%
Green
bronze
Related to Research communities
Cancer Research