Literature DB >> 9155696

A novel quantitative immunoassay system for p53 using antibodies selected for optimum designation of p53 status.

M D Thomas1, G G McIntosh, J J Anderson, D M McKenna, A H Parr, R Johnstone, T W Lennard, C H Horne, B Angus.   

Abstract

AIM: To develop a highly sensitive and specific enzyme linked immunosorbent assay (ELISA) system for analysis of p53 protein in cancer lysates.
METHODS: The anti-p53 monoclonal antibodies DO7, 1801, BP53.12, and 421, and anti-p53 polyclonal antiserum CM1 were assessed by immunohistochemistry and western blot analysis to identify those most suitable for determining p53 status of cancer cells. Antibodies with desired characteristics were used to develop a non-competitive sandwich type ELISA system for analysis of p53 expression in cancer cytosols. Using the ELISA, p53 protein concentrations were measured in a small series of breast cancers, and the quantitative values compared with p53 immunohistochemical data of the same cancers.
RESULTS: DO7 and 1801 gave the most specific and reliable results on immunohistochemistry and western blot analysis. Using these two antibodies, a non-competitive sandwich type ELISA system was developed to analyse p53 quantitatively. Analysis of the breast cancer series showed a good correlation between immunohistochemistry and the ELISA-tumours were generally positive using both techniques. Discrepancies were noted however: some cancers were immunohistochemically negative but ELISA positive. One explanation for this may be that the ELISA is more sensitive than immunohistochemistry.
CONCLUSION: The p53 ELISA system is a non-competitive double monoclonal antibody sandwich method, using DO7 and 1801 which have been shown to be highly specific for p53 protein by immunohistochemistry and western blot analysis. The lower threshold of the assay is 0.1 ng/ml analyte in an enriched recombinant p53 preparation. As p53 is now regarded as a protein associated with prognosis in breast and other cancers, the assay may have clinical applications.

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Year:  1997        PMID: 9155696      PMCID: PMC499740          DOI: 10.1136/jcp.50.2.143

Source DB:  PubMed          Journal:  J Clin Pathol        ISSN: 0021-9746            Impact factor:   3.411


  12 in total

1.  Mutant conformation of p53. Precise epitope mapping using a filamentous phage epitope library.

Authors:  C W Stephen; D P Lane
Journal:  J Mol Biol       Date:  1992-06-05       Impact factor: 5.469

2.  Isolation of human-p53-specific monoclonal antibodies and their use in the studies of human p53 expression.

Authors:  L Banks; G Matlashewski; L Crawford
Journal:  Eur J Biochem       Date:  1986-09-15

3.  Mutations in the p53 gene occur in diverse human tumour types.

Authors:  J M Nigro; S J Baker; A C Preisinger; J M Jessup; R Hostetter; K Cleary; S H Bigner; N Davidson; S Baylin; P Devilee
Journal:  Nature       Date:  1989-12-07       Impact factor: 49.962

Review 4.  p53 mutations in human cancers.

Authors:  M Hollstein; D Sidransky; B Vogelstein; C C Harris
Journal:  Science       Date:  1991-07-05       Impact factor: 47.728

5.  Prognostic significance of p53 gene alterations in node-negative breast cancer.

Authors:  R M Elledge; S A Fuqua; G M Clark; P Pujol; D C Allred; W L McGuire
Journal:  Breast Cancer Res Treat       Date:  1993       Impact factor: 4.872

6.  Quantification of p53 protein in tumor cell lines, breast tissue extracts and serum with time-resolved immunofluorometry.

Authors:  S Hassapoglidou; E P Diamandis; D J Sutherland
Journal:  Oncogene       Date:  1993-06       Impact factor: 9.867

7.  Quantitative analysis of mutant p53 protein in breast tumor cytosols and study of its association with other biochemical prognostic indicators in breast cancer.

Authors:  M A Levesque; E P Diamandis; H Yu; D J Sutherland
Journal:  Breast Cancer Res Treat       Date:  1994       Impact factor: 4.872

8.  Nuclear p53 immunoreaction associated with poor prognosis of breast cancer.

Authors:  K Iwaya; H Tsuda; H Hiraide; K Tamaki; S Tamakuma; T Fukutomi; K Mukai; S Hirohashi
Journal:  Jpn J Cancer Res       Date:  1991-07

9.  Comparison between p53 staining in tissue sections and p53 proteins levels measured by an ELISA technique.

Authors:  B Vojtĕsek; C J Fisher; D M Barnes; D P Lane
Journal:  Br J Cancer       Date:  1993-06       Impact factor: 7.640

10.  p53 protein as a prognostic indicator in breast carcinoma: a comparison of four antibodies for immunohistochemistry.

Authors:  G M Horne; J J Anderson; D G Tiniakos; G G McIntosh; M D Thomas; B Angus; J A Henry; T W Lennard; C H Horne
Journal:  Br J Cancer       Date:  1996-01       Impact factor: 7.640

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  2 in total

1.  Nα-1, 3-Benzenedicarbonyl-Bis-(Amino Acid) and Dipeptide Candidates: Synthesis, Cytotoxic, Antimicrobial and Molecular Docking Investigation.

Authors:  Ahmed M Naglah; Gaber O Moustafa; Ahmed A Elhenawy; Marwa M Mounier; Heba El-Sayed; Mohamed A Al-Omar; Abdulrahman A Almehizia; Mashooq A Bhat
Journal:  Drug Des Devel Ther       Date:  2021-03-25       Impact factor: 4.162

2.  SERS-based nanobiosensing for ultrasensitive detection of the p53 tumor suppressor.

Authors:  Fabio Domenici; Anna Rita Bizzarri; Salvatore Cannistraro
Journal:  Int J Nanomedicine       Date:  2011-09-19
  2 in total

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