Literature DB >> 12006527

Prognostic impact of TP53 mutations and P53 protein overexpression in supratentorial WHO grade II astrocytomas and oligoastrocytomas.

Aurelia Peraud1, Friedrich W Kreth, Otmar D Wiestler, Paul Kleihues, Hans-Jürgen Reulen.   

Abstract

PURPOSE: The purpose of this study was to analyze retrospectively timing, frequency, and prognostic impact of TP53 mutations and P53 protein accumulation in supratentorial WHO grade II astrocytomas and oligoastrocytomas of adult patients. EXPERIMENTAL
DESIGN: We included 159 consecutively treated patients (1991-1998), and each tumor was screened for TP53 mutations and P53 protein overexpression. Prognostic evaluation was performed with the multivariate proportional hazards model.
RESULTS: TP53 mutations (P53 protein overexpression) were detected in 49% (47%) of all tumors with a preference for the gemistocytic subtype (P < 0.05). The TP53 status of the primary tumor was predictive for the status of the recurrent tumor, and tumor recurrence/progression was associated with an increase of P53 immunopositive cells in 68% of the investigated tumors. Univariately, gemistocytic subtype and presence of TP53 mutation (but not P53 accumulation) were unfavorable predictors for progression-free survival (P < 0.05); multivariately, only the gemistocytic subtype remained unfavorable influence (P = 0.04). No overall prognostic impact of the TP53 status on survival and time to malignancy was observed (P < 0.05). Five nongemistocytic tumors with a codon 175 TP53 mutation exhibited a significantly worse prognosis as compared with those with any other mutational sites (5-year progression-free survival: 0%; 5-year malignant transformation: 100%; P < 0.001).
CONCLUSIONS: TP53 mutations are frequent and early events in the pathogenesis of WHO grade II astrocytomas/oligoastrocytomas, and most of the univariately detected overall prognostic impact of the TP53 status must be related to the influence of the gemistocytic subtype. In nongemistocytic astrocytomas, a hot spot codon 175 TP53 mutation indicates a worse prognosis in terms of time to progression and malignancy.

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Year:  2002        PMID: 12006527

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   12.531


  23 in total

1.  High-resolution melting effectively pre-screens for TP53 mutations before direct sequencing in patients with diffuse glioma.

Authors:  Kiyotaka Saito; Kiyotaka Yokogami; Kazunari Maekawa; Yuichiro Sato; Shinji Yamashita; Fumitaka Matsumoto; Asako Mizuguchi; Hideo Takeshima
Journal:  Hum Cell       Date:  2021-01-17       Impact factor: 4.174

2.  A better surgical resectability of WHO grade II gliomas is independent of favorable molecular markers.

Authors:  Dominik Cordier; Catherine Gozé; Sabine Schädelin; Valérie Rigau; Luigi Mariani; Hugues Duffau
Journal:  J Neurooncol       Date:  2014-09-28       Impact factor: 4.130

3.  1P19Q loss but not IDH1 mutations influences WHO grade II gliomas spontaneous growth.

Authors:  Catherine Gozé; Charlotte Bezzina; Eric Gozé; Valérie Rigau; Thierry Maudelonde; Luc Bauchet; Hugues Duffau
Journal:  J Neurooncol       Date:  2012-03-06       Impact factor: 4.130

4.  Clinicopathologic characteristics of brain tumors are associated with the presence and patterns of TP53 mutations: evidence from the IARC TP53 Database.

Authors:  Lyubov E Salnikova
Journal:  Neuromolecular Med       Date:  2014-01-31       Impact factor: 3.843

Review 5.  P53 immunoexpression as a prognostic marker for human astrocytomas: a meta-analysis and review of the literature.

Authors:  Georgia Levidou; Elias El-Habr; Angelica A Saetta; Christine Bamias; Klea Katsouyanni; Klea Katsougiannis; Efstratios Patsouris; Penelope Korkolopoulou
Journal:  J Neurooncol       Date:  2010-05-12       Impact factor: 4.130

6.  High frequency of temperature-sensitive mutants of p53 in glioblastoma.

Authors:  Jana Smardova; Kvetoslava Liskova; Barbora Ravcukova; Lenka Kubiczkova; Sabina Sevcikova; Jaroslav Michalek; Miluse Svitakova; Vaclav Vybihal; Leos Kren; Jan Smarda
Journal:  Pathol Oncol Res       Date:  2013-03-28       Impact factor: 3.201

Review 7.  Pathology and molecular genetics of astrocytic gliomas.

Authors:  Guido Reifenberger; Vincent Peter Collins
Journal:  J Mol Med (Berl)       Date:  2004-10       Impact factor: 4.599

8.  Detection of P53 mutations in different cancer types is improved by cDNA sequencing.

Authors:  Sylwester Piaskowski; Izabela Zawlik; Malgorzata Szybka; Dominika Kulczycka-Wojdala; Ewelina Stoczynska-Fidelus; Michal Bienkowski; Tadeusz Robak; Renata Kusinska; Dorota Jesionek-Kupnicka; Radzislaw Kordek; Piotr Rieske; Pawel P Liberski
Journal:  Oncol Lett       Date:  2010-07-01       Impact factor: 2.967

9.  Low-grade gliomas in older patients: a retrospective analysis of prognostic factors.

Authors:  Nader Pouratian; Melike Mut; Jay Jagannathan; M Beatriz Lopes; Mark E Shaffrey; David Schiff
Journal:  J Neurooncol       Date:  2008-08-06       Impact factor: 4.130

10.  Mapping p53 mutations in low-grade glioma: a voxel-based neuroimaging analysis.

Authors:  Y Y Wang; T Zhang; S W Li; T Y Qian; X Fan; X X Peng; J Ma; L Wang; T Jiang
Journal:  AJNR Am J Neuroradiol       Date:  2014-08-07       Impact factor: 3.825

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