Literature DB >> 7734292

Prognostic significance of p53 overexpression in primary breast cancer; a novel luminometric immunoassay applicable on steroid receptor cytosols.

A Borg1, J Lennerstrand, M Stenmark-Askmalm, M Fernö, A Brisfors, A Ohrvik, O Stål, D Killander, D Lane, J Brundell.   

Abstract

A novel quantitative luminometric immunoassay (LIA) has been developed for the measurement of wild-type and mutant p53 protein in extracts from breast tumour tissue. The LIA was found to yield reliable estimates of p53 expression in cytosol samples routinely prepared for steroid receptor analysis as compared with results obtained with immunohistochemical analysis. The LIA was evaluated on 205 primary breast tumour cytosols prepared for steroid receptor analysis and stored frozen at -80 degrees C for 6-8 years, p53 protein being detected in 65% of the samples (range 0.01-23 ng mg-1 protein). Using an arbitrary cut-off value of 0.15 ng mg-1 protein, 30% of the tumours were classified as manifesting p53 overexpression. Significant and independent correlations were found to exist between p53 overexpression and shorter disease-free (P < 0.001) and overall survival (P = 0.039) at a median duration of follow-up of 50 months. p53 overexpression was related to low oestrogen receptor content and high proliferation rate (S-phase fraction). No relationship was found to tumour size or the presence of lymph node metastasis. Three tumours possessed an extremely high p53 content (> 10 ng mg-1 protein), all of which were of medullary or high-grade ductal type, oestrogen and progesterone receptor negative, DNA non-diploid, had S-phase fractions of > 22% and recurred within 1-2 years. In summary, a new sensitive and quantitative LIA suitable for routine analysis of p53 protein in steroid receptor cytosol preparations from breast tumours has been developed to confirm the prognostic importance of p53 protein accumulation in human breast cancer.

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Year:  1995        PMID: 7734292      PMCID: PMC2033772          DOI: 10.1038/bjc.1995.195

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


  19 in total

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Authors:  W L McGuire
Journal:  J Natl Cancer Inst       Date:  1991-02-06       Impact factor: 13.506

2.  Statistical evaluation of cell kinetic data from DNA flow cytometry (FCM) by the EM algorithm.

Authors:  B Baldetorp; M Dalberg; U Holst; G Lindgren
Journal:  Cytometry       Date:  1989-11

Review 3.  The p53 tumour suppressor gene.

Authors:  A J Levine; J Momand; C A Finlay
Journal:  Nature       Date:  1991-06-06       Impact factor: 49.962

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

5.  P53 expression in breast cancer.

Authors:  G Cattoretti; F Rilke; S Andreola; L D'Amato; D Delia
Journal:  Int J Cancer       Date:  1988-02-15       Impact factor: 7.396

6.  Maintenance of p53 alterations throughout breast cancer progression.

Authors:  A M Davidoff; B J Kerns; J D Iglehart; J R Marks
Journal:  Cancer Res       Date:  1991-05-15       Impact factor: 12.701

7.  Improved method for assay of estradiol and progesterone receptors with special reference to breast cancer.

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Authors:  C A Midgley; C J Fisher; J Bártek; B Vojtĕsek; D Lane; D M Barnes
Journal:  J Cell Sci       Date:  1992-01       Impact factor: 5.285

9.  Flow cytometry in primary breast cancer: improving the prognostic value of the fraction of cells in the S-phase by optimal categorisation of cut-off levels.

Authors:  H Sigurdsson; B Baldetorp; A Borg; M Dalberg; M Fernö; D Killander; H Olsson; J Ranstam
Journal:  Br J Cancer       Date:  1990-11       Impact factor: 7.640

10.  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

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  10 in total

Review 1.  Apoptosis: molecular mechanisms and implications for cancer chemotherapy.

Authors:  H J Guchelaar; A Vermes; I Vermes; C Haanen
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Review 2.  Prognosis and prediction of response in breast cancer: the current role of the main biological markers.

Authors:  A Ravaioli; L Bagli; A Zucchini; F Monti
Journal:  Cell Prolif       Date:  1998 Jun-Aug       Impact factor: 6.831

Review 3.  P53, apoptosis, and breast cancer.

Authors:  D M Barnes; R S Camplejohn
Journal:  J Mammary Gland Biol Neoplasia       Date:  1996-04       Impact factor: 2.673

4.  Allelic imbalance at chromosome 17p13.3 (YNZ22) in breast cancer is independent of p53 mutation or p53 overexpression and is associated with poor prognosis at medium-term follow-up.

Authors:  A M Thompson; D N Crichton; R A Elton; M F Clay; U Chetty; C M Steel
Journal:  Br J Cancer       Date:  1998-03       Impact factor: 7.640

5.  p53 protein and its messenger ribonucleic acid in human adrenal tumors.

Authors:  V Adleff; K Rácz; M Tóth; I Varga; A Bezzegh; E Gláz
Journal:  J Endocrinol Invest       Date:  1998-12       Impact factor: 4.256

6.  Prognostic significance of p53-expression in colorectal carcinoma as measured by a luminometric immunoassay.

Authors:  Oliver Lotter; Amro Amr; Farouk Safi
Journal:  Ger Med Sci       Date:  2010-10-08

7.  TP53 mutation analyses on breast carcinomas: a study of paraffin-embedded archival material.

Authors:  S Gretarsdottir; L Tryggvadottir; J G Jonasson; H Sigurdsson; K Olafsdottir; B A Agnarsson; H Ogmundsdottir; J E Eyfjörd
Journal:  Br J Cancer       Date:  1996-08       Impact factor: 7.640

8.  Enhanced prediction of breast cancer prognosis by evaluating expression of p53 and prostate-specific antigen in combination.

Authors:  H Yu; M A Levesque; G M Clark; E P Diamandis
Journal:  Br J Cancer       Date:  1999-10       Impact factor: 7.640

9.  Prognostic value of uPA and p53 accumulation measured by quantitative biochemical assays in 1245 primary breast cancer patients: a multicentre study.

Authors:  P Broët; F Spyratos; S Romain; V Quillien; A Daver; G Ricolleau; A Rallet; C Toulas; B Asselain
Journal:  Br J Cancer       Date:  1999-05       Impact factor: 7.640

10.  Prognostic significance of bcl-2 expression in leiomyosarcoma of the uterus.

Authors:  Y L Zhai; T Nikaido; T Toki; A Shiozawa; A Orii; S Fujii
Journal:  Br J Cancer       Date:  1999-07       Impact factor: 7.640

  10 in total

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