Literature DB >> 10732868

p53 status in breast carcinomas revealed by FASAY correlates well with p53 protein accumulation determined by immunohistochemistry.

J Smardová1, V Vagunda, E Jandáková, M Vagundová, H Koukalová, J Kovarík, J Zaloudík.   

Abstract

The prognostic and predictive value of p53 mutation in breast cancer is still conflicting. The choice of the p53 status detection method may account for some discrepancies. In this pilot study we compared two differently-based methods for detection of p53 alteration in 32 breast carcinoma samples: the immunohistochemical method using Bp53, DO1 and DO11 monoclonal antibodies for analysis of the p53 protein accumulation in cell nuclei and the functional method FASAY. FASAY - functional analysis of the separated alleles in yeast - tests the capability of the human p53 to transactivate a reporter with a p53 binding site RGC driving the ADE2 gene in yeast. In our group the percentage of breast cancers with accumulated p53 protein was 50%, as well as percentage of mutant p53 scored by FASAY was 50%. Although the agreement of both methods, when comparing the results of individual patients was high (94%), our results show that immunohistochemistry does not reflect the p53 status quite exactly.

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Year:  1999        PMID: 10732868

Source DB:  PubMed          Journal:  Neoplasma        ISSN: 0028-2685            Impact factor:   2.575


  4 in total

1.  Determination of optimal conditions for analysis of p53 status in leukemic cells using functional analysis of separated alleles in yeast.

Authors:  Jana Smardová; Sárka Pavlová; Hana Koukalová
Journal:  Pathol Oncol Res       Date:  2003-02-11       Impact factor: 3.201

Review 2.  p53 functional assays: detecting p53 mutations in both the germline and in sporadic tumours.

Authors:  R S Camplejohn; J Rutherford
Journal:  Cell Prolif       Date:  2001-02       Impact factor: 6.831

3.  p53: a molecular marker for the detection of cancer.

Authors:  Mark T Boyd; Nikolina Vlatkovic
Journal:  Expert Opin Med Diagn       Date:  2008-09

4.  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

  4 in total

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