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TP53 codon 72 polymorphism may predict early tumour progression in paediatric pilocytic astrocytoma

Overview of attention for article published in Oncotarget, June 2016
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Article details
Title
TP53 codon 72 polymorphism may predict early tumour progression in paediatric pilocytic astrocytoma
Published in
Oncotarget, June 2016
DOI 10.18632/oncotarget.10295
Pubmed ID
Authors
Abstract

Pilocytic astrocytoma and ganglioglioma may occur in inaccessible or surgically difficult areas. In case of incomplete resection, the availability of biological predictors of tumour progression could be particularly important. To this end, an analysis of p53 codon 72 polymorphism and assessment of its role as prognostic marker were performed.The status of the p53 Arg72Pro polymorphism was evaluated by pyrosequencing method in a multicenter cohort of 170 paediatric patients. Genotype/phenotype associations were investigated either by means of bivariate or multivariate analyses.In the partially resected pilocytic astrocytomas, the Arg/Arg variant predicts early tumour progression (median survival time: 23.1 months) and is associated with poor event-free survival (p value = 0.0009). This finding remains true also in case of adjuvant therapies, with a 5-year event-free survival of 30.6% for cases with Arg/Arg variant vs. 78.7% for those with other genotypes. There is no association between ganglioglioma and the polymorphism.The assessment of Arg/Arg variant could improve the management of pilocytic astrocytoma. TP53 codon 72 analysis could distinguish low-risk cases, in which surgery could be conservative, from high-risk cases needing an aggressive surgery plan.

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The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Bachelor 4 20%
Researcher 3 15%
Student > Doctoral Student 2 10%
Student > Postgraduate 2 10%
Student > Master 1 5%
Other 0 0%
Unknown 8 40%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 3 15%
Agricultural and Biological Sciences 2 10%
Psychology 2 10%
Biochemistry, Genetics and Molecular Biology 1 5%
Immunology and Microbiology 1 5%
Other 1 5%
Unknown 10 50%