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Thesis . 2010
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Transcription factors PROX1 and p53 in cancer development

Authors: Elsir, Tamador;

Transcription factors PROX1 and p53 in cancer development

Abstract

The majority of malignant brain tumors in adults are astrocytic gliomas. These are classified into four malignancy grades according to the World Health Organization (WHO) criteria, including grade I pilocytic astrocytoma, grade II astrocytoma, grade III anaplastic astrocytoma and grade IV glioblastoma. Understanding the underlying molecular defects of these tumors gives us the possibility to design new effective therapies. PROX1 is a transcription factor that has an important role in the developmental process of various organs during embryogenesis, including the central nervous system. In paper I we examined a group of 56 paraffin embedded astrocytic brain tumors for their expression of PROX1. We found that the number of PROX1+ cells was correlated to high tumor grade. We concluded that PROX1 maybe used as a diagnostic tool distinguishing between grade III, IV tumors and grade II astrocytomas. This finding led us to investigate PROX1 s prognostic and predictive value in grade II tumors, because these tumors have a highly unpredictable course of progression to a more malignant grade, which hinders the clinicians choice of treatment. In paper II we studied the expression levels of PROX1 in 128 grade II astrocytic brain tumors and found that it is a highly dependable, predictive factor for short term survival in patients with astrocytic gliomas but not for oligodendrogliomas. We propose that in the future PROX1 maybe used in the clinical routine as a biomarker to help in prediction of prognosis for astrocytic brain tumors. In order to understand why PROX1 is up regulated in these tumors, we determined its expression in different established glioma cell lines, to serve as a tool for the functional studies of the protein (paper III). A hallmark of glioblastoma is mutations in the p53 tumor suppressor gene. p53 is also frequently mutated in other tumors including those from lung, breast and skin. In paper IV we used a mouse skin model, p53QS-val135/QS-val135 (p53QS), to examine the importance of p53 transcriptional ...

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570, Thesis, 610

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selected citations
These citations are derived from selected sources.
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!
0
Average
Average
Average
Green
Related to Research communities
Cancer Research