Literature DB >> 12124823

Influence of p53 mutations on prognosis of patients with glioblastoma.

Shoji Shiraishi1, Kenji Tada, Hideo Nakamura, Keishi Makino, Masato Kochi, Hideyuki Saya, Jun-ichi Kuratsu, Yukitaka Ushio.   

Abstract

BACKGROUND: The influence of p53 mutations on the biology of astrocytic tumors is controversial. p53 is thought to be inactivated in the early stage of gliomagenesis; however, what role its inactivation plays in the malignancy of gliomas remains unknown. To understand the significance of p53 inactivation, the authors identified the locus of p53 gene mutation in glioma samples at different stages of progression and studied the correlation between the mutation and clinical behavior.
METHODS: Samples from newly diagnosed gliomas, including pure and mixed astrocytomas, were analyzed for p53 mutations using a yeast functional assay. To determine the locus of the gene mutations, DNA sequencing was performed.
RESULTS: The incidence of p53 mutations was higher in anaplastic astrocytomas (AA, 48%) than glioblastomas (GBM, 31%). There was no significant difference in the average ages of GBM patients with and without p53 mutations (54.9 years +/- 2.3 and 53.2 years +/- 4.6, respectively). In GBM patients, the mutation did not affect progression free survival or overall survival. Astrocytomas and GBM differed in the distribution of p53 mutation loci.
CONCLUSIONS: The p53 gene mutation does not markedly affect the survival of GBM patients. The difference in the location of p53 mutations between AA and GBM suggests that in gliomas, the p53 mutation may contribute not only to tumorigenesis (as an early event) but also to progression to malignancy (as a late event). Copyright 2002 American Cancer Society.DOI 10.1002/cncr.10677

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Year:  2002        PMID: 12124823     DOI: 10.1002/cncr.10677

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  32 in total

1.  Detailed characterization of alterations of chromosomes 7, 9, and 10 in glioblastomas as assessed by single-nucleotide polymorphism arrays.

Authors:  Inês Crespo; Ana Luísa Vital; Ana Belen Nieto; Olinda Rebelo; Hermínio Tão; Maria Celeste Lopes; Catarina Resende Oliveira; Pim J French; Alberto Orfao; María Dolores Tabernero
Journal:  J Mol Diagn       Date:  2011-08-30       Impact factor: 5.568

Review 2.  Prognostic value of p53 alterations in human osteosarcoma: a meta analysis.

Authors:  Dong Yao; Guo-Hong Cai; Jing Chen; Rui Ling; Sheng-Xi Wu; Yong-Ping Li
Journal:  Int J Clin Exp Pathol       Date:  2014-09-15

3.  CD133 and BMI1 expressions and its prognostic role in primary glioblastoma.

Authors:  M K Sibin; C H Lavanya; Dhananjaya I Bhat; Narasinga Rao; N Geethashree; W Vibhuti; G K Chetan
Journal:  J Genet       Date:  2015-12       Impact factor: 1.166

4.  Prognostic significance of the immunohistochemical index of survivin in glioma: a comparative study with the MIB-1 index.

Authors:  Masaki Uematsu; Ikuroh Ohsawa; Toshiyuki Aokage; Kiyomi Nishimaki; Kouji Matsumoto; Hiroshi Takahashi; Sadamitsu Asoh; Akira Teramoto; Shigeo Ohta
Journal:  J Neurooncol       Date:  2005-05       Impact factor: 4.130

5.  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

6.  TP53 gain-of-function mutation promotes inflammation in glioblastoma.

Authors:  Seok Won Ham; Hee-Young Jeon; Xiong Jin; Eun-Jung Kim; Jun-Kyum Kim; Yong Jae Shin; Yeri Lee; Se Hoon Kim; Seon Yong Lee; Sunyoung Seo; Min Gi Park; Hye-Mi Kim; Do-Hyun Nam; Hyunggee Kim
Journal:  Cell Death Differ       Date:  2018-05-21       Impact factor: 15.828

Review 7.  Treatment of Glioblastoma in the Elderly.

Authors:  Rebecca A Harrison; John F de Groot
Journal:  Drugs Aging       Date:  2018-08       Impact factor: 3.923

8.  Inferring network structure in non-normal and mixed discrete-continuous genomic data.

Authors:  Anindya Bhadra; Arvind Rao; Veerabhadran Baladandayuthapani
Journal:  Biometrics       Date:  2017-04-24       Impact factor: 2.571

9.  Thymoquinone induces telomere shortening, DNA damage and apoptosis in human glioblastoma cells.

Authors:  Resham Lal Gurung; Shi Ni Lim; Aik Kia Khaw; Jasmine Fen Fen Soon; Kirthan Shenoy; Safiyya Mohamed Ali; Manikandan Jayapal; Swaminathan Sethu; Rajamanickam Baskar; M Prakash Hande
Journal:  PLoS One       Date:  2010-08-12       Impact factor: 3.240

10.  The Added Prognostic Value of Preoperative Dynamic Contrast-Enhanced MRI Histogram Analysis in Patients with Glioblastoma: Analysis of Overall and Progression-Free Survival.

Authors:  Y S Choi; D W Kim; S-K Lee; J H Chang; S-G Kang; E H Kim; S H Kim; T H Rim; S S Ahn
Journal:  AJNR Am J Neuroradiol       Date:  2015-09-03       Impact factor: 3.825

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