Literature DB >> 7514027

p53 immunohistochemical analysis in breast cancer with four monoclonal antibodies: comparison of staining and PCR-SSCP results.

J Jacquemier1, J P Molès, F Penault-Llorca, J Adélaide, M Torrente, P Viens, D Birnbaum, C Theillet.   

Abstract

The expression of p53 protein was examined in a series of 136 primary breast carcinomas, 106 of which were analysed with a panel of four monoclonal antibodies (MAbs 1801, 240, DO7 and DO1). p53 expression was detected with at least one antibody in 40 tumours (38%), whereas only 15 tumours (14%) were positive with all four antibodies. Some variability in the immunostaining could be observed depending on the antibody used. This was noticeable both for the number of positive cells within a section and for the intensity of staining. We therefore selected a panel of 17 tumour sections (nine were highly positive, three with medium to low staining and five with low to negative staining), which we analysed by polymerase chain reaction-single-strand conformation polymorphism analysis (PCR-SSCP) for the presence of a p53 mutation at the molecular level. Mutations were identified in 15 cases. Therefore the proportion of p53-stained cells does not seem to be an exact representation of the number of cancer cells bearing a mutation within a tumour. A statistically significant correlation was observed between p53 expression, regardless of the number of positive antibodies, and grade III disease (P < 0.0001), oestrogen (P < 0.0001) or progesterone receptor negativity (P = 0.0061), increased Ki 67 index (P = 0.0018), epidermal growth factor receptor (EGFR) positivity (P = 0.0076) and aneuploidy (P = 0.037). No correlation was observed with tumour size or lymph node involvement. In univariate analysis p53 expression was not correlated with disease-free survival, in contrast to the classical prognostic parameters, which were statistically correlated. In this series p53 expression was not a marker of early recurrence.

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Year:  1994        PMID: 7514027      PMCID: PMC1968919          DOI: 10.1038/bjc.1994.164

Source DB:  PubMed          Journal:  Br J Cancer        ISSN: 0007-0920            Impact factor:   7.640


  31 in total

1.  Mutant p53, EGF receptor and c-erbB-2 expression in human breast cancer.

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2.  p53 mutations occur in aggressive breast cancer.

Authors:  R Mazars; L Spinardi; M BenCheikh; J Simony-Lafontaine; P Jeanteur; C Theillet
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3.  p53 and c-erbB-2 protein expression in breast carcinomas. An immunohistochemical study including correlations with receptor status, proliferation markers, and clinical stage in human breast cancer.

Authors:  M Barbareschi; E Leonardi; F A Mauri; G Serio; P Dalla Palma
Journal:  Am J Clin Pathol       Date:  1992-10       Impact factor: 2.493

4.  Association of overexpression of tumor suppressor protein p53 with rapid cell proliferation and poor prognosis in node-negative breast cancer patients.

Authors:  J Isola; T Visakorpi; K Holli; O P Kallioniemi
Journal:  J Natl Cancer Inst       Date:  1992-07-15       Impact factor: 13.506

5.  Aberrant expression of the p53 oncoprotein is a common feature of a wide spectrum of human malignancies.

Authors:  J Bártek; J Bártková; B Vojtĕsek; Z Stasková; J Lukás; A Rejthar; J Kovarík; C A Midgley; J V Gannon; D P Lane
Journal:  Oncogene       Date:  1991-09       Impact factor: 9.867

6.  Constant denaturant gel electrophoresis as a rapid screening technique for p53 mutations.

Authors:  A L Børresen; E Hovig; B Smith-Sørensen; D Malkin; S Lystad; T I Andersen; J M Nesland; K J Isselbacher; S H Friend
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7.  p53 allele losses, mutations and expression in breast cancer and their relationship to clinico-pathological parameters.

Authors:  A M Thompson; T J Anderson; A Condie; J Prosser; U Chetty; D C Carter; H J Evans; C M Steel
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Authors:  C Caron de Fromentel; T Soussi
Journal:  Genes Chromosomes Cancer       Date:  1992-01       Impact factor: 5.006

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Journal:  J Natl Cancer Inst       Date:  1992-06-03       Impact factor: 13.506

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Journal:  Br J Cancer       Date:  1992-09       Impact factor: 7.640

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  20 in total

Review 1.  Molecular genetic analysis in the pathologic evaluation of solid tumors: theory and practice.

Authors:  D W Visscher; F H Sarkar; J D Crissman
Journal:  J Clin Lab Anal       Date:  1997       Impact factor: 2.352

2.  Mutant p53 potentiates the oncogenic effects of insulin by inhibiting the tumor suppressor DAB2IP.

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3.  Analysis of p53 mutation and cyclin D1 expression in breast tumors.

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4.  Abnormal expression and mutation of p53 in cervical cancer--a study at protein, RNA and DNA levels.

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Journal:  Genitourin Med       Date:  1997-02

5.  p53 gene mutations and expression of p53 and mdm2 proteins in invasive breast carcinoma. A comparative analysis with clinico-pathological factors.

Authors:  T Günther; R Schneider-Stock; J Rys; A Niezabitowski; A Roessner
Journal:  J Cancer Res Clin Oncol       Date:  1997       Impact factor: 4.553

6.  p53 expression measured by flow cytometry. A comparison of three monoclonal antibodies and the relationship with grade and DNA ploidy in breast cancer.

Authors:  I Brotherick; B K Shenton; W K Cowan; B Angus; C H Horne; M J Higgs; T W Lennard
Journal:  Cancer Immunol Immunother       Date:  1995-09       Impact factor: 6.968

7.  Prognostic value of CD117 in cancer: a meta-analysis.

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8.  Expression of p53 protein related to the presence of human papillomavirus infection in precancer lesions of the larynx.

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Journal:  Am J Pathol       Date:  1995-03       Impact factor: 4.307

9.  Clinical Validation of BCT Scores With Prognostic Factors in Hormone Receptor-positive, HER2-negative Early Breast Cancer.

Authors:  Jeeyeon Lee; Won Hwa Kim; Ji-Young Park; Ho Yong Park; Jin Hyang Jung; Wan Wook Kim; Chan Sub Park; Ryu Kyung Lee; Jee Young Park; Yee Soo Chae; Soo Jung Lee; Hye Jung Kim
Journal:  In Vivo       Date:  2019 Nov-Dec       Impact factor: 2.155

10.  Modest effect of p53, EGFR and HER-2/neu on prognosis in epithelial ovarian cancer: a meta-analysis.

Authors:  P de Graeff; A P G Crijns; S de Jong; M Boezen; W J Post; E G E de Vries; A G J van der Zee; G H de Bock
Journal:  Br J Cancer       Date:  2009-06-09       Impact factor: 7.640

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