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Immunophenotyping of male breast cancer
Authors:Robert Kornegoor  Anoek H J Verschuur‐Maes  Horst Buerger  Marieke C Hogenes  Peter C de Bruin  Joost J Oudejans  Bernd Hinrichs  Paul J van Diest
Institution:1. Department of Pathology, University Medical Centre Utrecht, Utrecht, The Netherlands;2. Institute of Pathology, Paderborn, Germany;3. Laboratory for Pathology East Netherlands, Enschede;4. Department of Pathology, St Antonius Hospital, Nieuwegein;5. Department of Pathology, Diakonessenhuis, Utrecht, The Netherlands;6. Centre of Pathology and Cytodiagnostic, Cologne, Germany
Abstract:Kornegoor R, Verschuur‐Maes A H J, Buerger H, Hogenes M C, de Bruin P C, Oudejans J J, Hinrichs B & van Diest P J
(2012) Histopathology
Immunophenotyping of male breast cancer Aims: Male breast cancer is a rare disease, and knowledge of carcinogenesis is limited. Conflicting results, based on small series, have been reported for clinically relevant biomarkers. Methods and results: One hundred and thirty‐four cases of male breast cancer were immunohistochemically stained on tissue microarrays for oestrogen receptor (ER), progesterone receptor (PR), androgen receptor, human epidermal growth factor receptor 2 (HER2), BRST2, cyclin D1, bcl‐2, p53, p16, p21, Ki67, cytokeratin (CK) 5/6, CK14, and epidermal growth factor receptor. Data were correlated with clinicopathological features and patient outcome. High mitotic count and high grade were correlated with high Ki67, HER2 amplification/overexpression, p53 accumulation, high p21 expression, low PR expression, and low bcl‐2 expression. PR negativity (P = 0.009) and p53 accumulation (P = 0.042) were correlated with decreased 5‐year survival and were independent markers for patient outcome in Cox regression. In unsupervised hierarchical clustering, four groups were identified that were correlated with distinctive clinicopathological features. The hormone negative/ER‐positive/high‐grade cluster was significantly associated with decreased survival (P = 0.011) and was an independent prognostic factor in Cox regression. Conclusions: Several tissue biomarkers are associated with an aggressive phenotype in male breast cancer. PR and p53 are the most promising individual prognostic markers. On the basis of immunophenotype, four distinctive and prognostically relevant male breast cancer groups were identified, indicating that protein expression profiling may be clinically useful in male breast cancer.
Keywords:breast cancer  immunohistochemistry  male  prognosis  unsupervised hierarchical clustering
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