Literature DB >> 8496982

p53 as an independent prognostic marker in lymph node-negative breast cancer patients.

R Silvestrini1, E Benini, M G Daidone, S Veneroni, P Boracchi, V Cappelletti, G Di Fronzo, U Veronesi.   

Abstract

BACKGROUND: At present, most decisions concerning the use of adjuvant therapy in lymph node-negative breast cancer patients are made on the basis of traditional factors such as tumor size, nodal status, and histopathologic features. However, prognostic factors are being investigated that could identify high-risk groups and that could better address treatment efforts for those patients. Identification of more accurate prognostic markers, such as the expression of the mutant p53 protein encoded by the p53 (also known as TP53) tumor suppressor gene, that are reproducible, easily assessable, and independent in predicting clinical outcome would have a beneficial impact on cancer treatment decisions.
PURPOSE: Our purpose was to analyze the predictive relevance of mutant p53 protein expression on 6-year relapse-free and overall survival in node-negative breast cancer patients in relation to menopausal status, tumor size, cell kinetics, and estrogen receptor status.
METHODS: Expression of mutant p53 protein was detected by an immunohistochemical technique using a 1:50 dilution of PAb1801 monoclonal antibody on paraffin-embedded tumor specimens obtained from 256 axillary lymph node-negative breast cancer patients, with long-term follow-up (median, 72 months). The [3H]thymidine labeling index, a measure of cell kinetics, was evaluated on histologic sections after fresh tumor tissue was labeled with [3H]thymidine. Estrogen receptor status was determined by the dextran-coated charcoal absorption technique. Statistical comparisons were made for levels of p53 protein expression, [3H]thymidine labeling index, estrogen receptor status, tumor size, and menopausal status with respect to 6-year relapse-free survival and overall survival.
RESULTS: Overexpression of the p53 protein, defined as the presence of more than 5% positive cells, was detected in 113 (44%) of 256 tumors. Odds ratios (ORs) for multiple regression analysis of 6-year relapse-free survival were significantly higher for p53 (OR = 3.24; 95% confidence limits [CL] = 2.01-5.23) and [3H]thymidine labeling index (OR = 1.92; 95% CL = 1.19-3.12), both of which appeared to be the most relevant indicators of relapse, than for tumor size (OR = 1.49; 95% CL = 0.94-2.38) and estrogen receptor status (OR = 0.91; 95% CL = 0.55-1.51). Overexpression was found to be unrelated to menopausal status.
CONCLUSIONS: Immunohistochemically detected p53 overexpression is an independent marker for shortened 6-year relapse-free and overall survival in node-negative patients with resectable breast cancers. Based on these findings, p53 overexpression should be used with other established prognostic factors, such as [3H]thymidine labeling index and estrogen receptor status, to further refine the prognostic assessment of node-negative breast cancer.

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Year:  1993        PMID: 8496982     DOI: 10.1093/jnci/85.12.965

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


  47 in total

1.  Higher Level of P-glycoprotein Expression in Human Breast Cancer Cells after Radiation Therapy.

Authors: 
Journal:  Breast Cancer       Date:  1995-10-31       Impact factor: 4.239

2.  Prognostic and Predictive Factors for Breast Cancer.

Authors: 
Journal:  Breast Cancer       Date:  1995-10-31       Impact factor: 4.239

3.  Possible Relation of p53 and mdm-2 Oncoprotein Expression in Thyroid Carcinoma: A Molecular-Pathological and Immunohistochemical Study on Paraffin-Embedded Tissue.

Authors:  Kurt W. Schmid; Agnes Bankfalvi; Swantja Mucke; Dietmar Ofner; Kristina Riehemann; Soren Schroder; Andrea Stucker; Martin Totsch; Barbara Dockhorn-Dworniczak
Journal:  Endocr Pathol       Date:  1996       Impact factor: 3.943

4.  Optimal timing of adjuvant treatment in patients with early breast cancer.

Authors:  Necati Alkis; Ayse G Durnali; Ulku Y Arslan; Murat Kocer; Fatih O Onder; Saadet Tokluoglu; Gokhan Celenkoglu; Sadik Muallaoglu; Gungor Utkan; Arife Ulas; Kadri Altundag
Journal:  Med Oncol       Date:  2010-05-15       Impact factor: 3.064

5.  Biological indices in the assessment of breast cancer.

Authors:  A S Leong; A K Lee
Journal:  Clin Mol Pathol       Date:  1995-10

Review 6.  Prognostic factors in node-negative breast cancer: a review of studies with sample size more than 200 and follow-up more than 5 years.

Authors:  Attiqa N Mirza; Nadeem Q Mirza; Georges Vlastos; S Eva Singletary
Journal:  Ann Surg       Date:  2002-01       Impact factor: 12.969

7.  The important prognostic value of Ki-67 expression as determined by image analysis in breast cancer.

Authors:  T Pietiläinen; P Lipponen; S Aaltomaa; M Eskelinen; V M Kosma; K Syrjänen
Journal:  J Cancer Res Clin Oncol       Date:  1996       Impact factor: 4.553

Review 8.  The p53 tumor suppressor gene in breast cancer.

Authors:  R M Elledge; D C Allred
Journal:  Breast Cancer Res Treat       Date:  1994       Impact factor: 4.872

Review 9.  Integration of risk factors to allow patient selection for adjuvant systemic therapy in lymph node-negative breast cancer patients.

Authors:  W C Wood
Journal:  World J Surg       Date:  1994 Jan-Feb       Impact factor: 3.352

10.  Prognostic value of p53 in breast invasive ductal carcinoma: an immunohistochemical study on 942 cases.

Authors:  G MacGrogan; F Bonichon; I de Mascarel; M Trojani; M Durand; A Avril; J M Coindre
Journal:  Breast Cancer Res Treat       Date:  1995       Impact factor: 4.872

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