2010
DOI: 10.1073/pnas.1017001108
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Inactivation of p53 in breast cancers correlates with stem cell transcriptional signatures

Abstract: Breast cancer comprises a heterogeneous set of diseases distinguishable from one another by pathologic presentation and molecular signatures. However, each breast cancer subtype is also heterogeneous. Some of the heterogeneity may be attributable to genetic instability, but recent data emphasize that developmental plasticity may also contribute. The p53 tumor suppressor could constitute a nodal control point underlying both sources of heterogeneity because it is frequently inactivated during malignant progress… Show more

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Cited by 146 publications
(143 citation statements)
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References 39 publications
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“…They showed that there is an overlap between the ESC and iPSC signatures and p53 mutant tumors, whereas expression of the PRC2 signature is enhanced in breast tumors with a wild-type p53 gene. Thus, these expression signatures defined subsets of breast or lung cancers that reflected both the mutation profiles and clinical outcomes (4). A similar result was independently obtained in liver cancers with p53 mutations and a poor outcome (5).…”
supporting
confidence: 68%
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“…They showed that there is an overlap between the ESC and iPSC signatures and p53 mutant tumors, whereas expression of the PRC2 signature is enhanced in breast tumors with a wild-type p53 gene. Thus, these expression signatures defined subsets of breast or lung cancers that reflected both the mutation profiles and clinical outcomes (4). A similar result was independently obtained in liver cancers with p53 mutations and a poor outcome (5).…”
supporting
confidence: 68%
“…They demonstrated that this ESC signature predominantly corresponded to the subclass of breast tumors termed the basal or triple-negative tumors and to the Her-2 positive tumors. Mizuno et al (4) confirmed this observation and further demonstrated that tumors with the ESC signature almost always had p53 mutations or an inactive p53 function. These are typically tumors with poor clinical outcome, commonly associated with relapse and high mortality.…”
mentioning
confidence: 77%
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“…The enrichment of specific gene signatures per patient was performed using a GSEA-like algorithm as described previously using a Kolgomorov-Smirnov test for normality. 5,24 The C3 motif gene set was downloaded from the Molecular Signatures Database (MSigDB, http://software.broadinstitute. org/gsea/msigdb) and used for subsequent analyses of breast cancer patients and gene set enrichment analysis (GSEA).…”
Section: Analysis Of Breast Cancer Data Setsmentioning
confidence: 99%
“…loss was associated with poorly differentiated thyroid cancers (Fagin et al, 1993), breast cancer (de Cremoux et al, 1999;Kochhar et al, 2005;Miller et al, 2005;Mizuno et al, 2010) lung cancer (Junttila et al, 2010), hematopoetic system malignacies (Chylicki et al, 2000;Feinstein et al, 1992), collateral mutations of p53 and PTEN are the most common tumor suppressor aberrations in glioblastomas, which are poorly differentiated, developmentally plastic brain tumors derived from the neuronal stem/progenitor cells (Zheng et al, 2008). Deletion of the three RB family proteins triggers the reprogramming of MEFs to generate CSC-like cells ).…”
Section: Tumor Suppressor Loss Differentiation and Oncogenic Tranformentioning
confidence: 99%