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Annals of Oncology 12:525-533, 2001
© 2001 European Society for Medical Oncology


research-article

c-erbB-2 oncoprotein overexpression identifies a subgroup of estrogen receptor positive (ER+) breast cancer patients with poor prognosis

A. E. Pinto1,, S. André1, T. Pereira1, S. Nóbrega2 and J. Soares1

1Departamento de Patologia Morfologica e Centro de Investigacão de Patobiologia Molecular do Instituto Portugués de Oncologia de Francisco Gentil Portugal
2Registo Oncologico Regional (ROR-Sul) do Instituto Portugues de Oncologia de Francisco Gentil, Centro de Lisboa Portugal

Correspondence to: A E Pinto, MD, Departamento de Patologia Morfológica, Instituto Português de Oncologia Francisco Gentil, Rua Prof Lima Basto, 1099-023 Lisboa Codex, Portugal

Purpose To investigate the predictive value of c-erbB-2 oncoprotein expression as compared with established histopathological and cytometric indicators of disease evolution in breast carcinoma

Patients and methods A short-term retrospective study was conducted on a series of 306 breast cancer patients Classic prognostic factors included tumour size, nodal involvement, histological grading, and hormone receptor status. Flow cytometric DNA ploidy and S-phase fraction (SPF) were also assessed. A Cox proportional hazards regression model was used for multivariate statistical analysis

Results c-erbB-2 overexpression was present in 43 out of 295 (14 6%) tumours, and showed a statistically significant correlation with high histological grade, DNA aneuploidy, high SPF and lack of estrogen receptors (ER) Univariate analysis revealed its association with worse disease-free survival (DFS) and overall survival (OS) The combined evaluation of c-erbB-2 with ploidy and SPF defines a variable (P + S + c) that showed a significant correlation with disease outcome By multivariate analysis, only nodal status (P < 0 001) and P + S + c subgrouping (group 2 P = 0 002, group 3 P = 0 001) in relation to DFS, and nodal status (P = 0 001) and DNA ploidy (P = 0 006) in relation to OS, retained independent prognostic significance Subset analyses showed that cytometric parameters, P + S + c subgrouping and hormone receptors were significantly correlated with disease outcome in node-positive patients, whereas in node-negative subgroup no prognostic indicators were found c-erbB-2 overexpression exhibited a trend in node-positive breast cancer (DFS P = 0 068, OS. P = 0.086), and significant correlation with poor clinical evolution in ER positive patients (DFS P = 0 015, OS P = 0 004), mostly receiving tamoxifen

Conclusions c-erbB-2 is an independent prognostic indicator of DFS when evaluated in conjunction with ploidy and SPF It also seems to predict response to tamoxifen therapy, by identifying a subgroup of ER positive (ER+) breast cancer patients with poor prognosis

breast carcinoma, c-erbB-2 expression, immunohistochemistry, prognosis, therapy response prediction


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