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Expression of c-erbB-2, p53 and c-myc proteins in male breast carcinoma: Comparison with traditional prognostic factors and survival

Overview of attention for article published in Brazilian Journal of Medical and Biological Research, July 2001
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Title
Expression of c-erbB-2, p53 and c-myc proteins in male breast carcinoma: Comparison with traditional prognostic factors and survival
Published in
Brazilian Journal of Medical and Biological Research, July 2001
DOI 10.1590/s0100-879x2001000700008
Pubmed ID
Authors

M. Mourão Netto, A.F. Logullo, S. Nonogaki, R.R. Brentani, M.M. Brentani

Abstract

There are few data evaluating biological markers for men with breast cancer. The purpose of the present study was to analyze the expression of the oncogenes c-erbB-2 and c-myc and of the suppressor gene p53 by immunohistochemical techniques in archival paraffin-embedded tissue blocks of 48 male breast cancer patients, treated at the A.C. Camargo Cancer Hospital, São Paulo, SP, Brazil. The results were compared with clinicopathological prognostic features. Immunopositivity of c-erbB-2, p53 and c-myc was detected in 62.5, 16.7 and 20.8% of the cases analyzed, respectively. Estrogen and progesterone receptors were positive in 75 and 69% of the cases, respectively. Increasing staging was statistically associated with c-erbB-2 (P = 0.04) and weakly related to p53 positivity (P = 0.06). No significant correlation between specific survival rate (determined by the log rank test) and the molecular markers analyzed was found, whereas the number of compromised lymph nodes and advanced TNM (tumor, node, metastasis) staging were associated with diminished survival.

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Mendeley readers

The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Italy 1 4%
Unknown 23 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 25%
Student > Bachelor 4 17%
Researcher 3 13%
Student > Doctoral Student 2 8%
Professor > Associate Professor 2 8%
Other 4 17%
Unknown 3 13%
Readers by discipline Count As %
Medicine and Dentistry 14 58%
Nursing and Health Professions 2 8%
Agricultural and Biological Sciences 2 8%
Biochemistry, Genetics and Molecular Biology 1 4%
Arts and Humanities 1 4%
Other 1 4%
Unknown 3 13%