| Literature DB >> 15567937 |
Gilbert Spizzo1, Philip Went, Stephan Dirnhofer, Peter Obrist, Ronald Simon, Hanspeter Spichtin, Robert Maurer, Urs Metzger, Brida von Castelberg, Rahel Bart, Shanna Stopatschinskaya, Ossi Robert Köchli, Philip Haas, Friedrich Mross, Markus Zuber, Holger Dietrich, Susanne Bischoff, Martina Mirlacher, Guido Sauter, Guenther Gastl.
Abstract
Previous studies in small series of patients with invasive breast cancer suggested a prognostic value of Ep-CAM overexpression in primary tumor tissue. To corroborate these findings, we performed a retrospective analysis of Ep-CAM expression using a tissue microarray containing tissue specimens from a large patient set. Ep-CAM expression was evaluated by immunohistochemistry in breast cancer tissue from 1715 patients with documented raw survival data. High level Ep-CAM expression (overexpression) was found in 41.7% of tumor samples, low level expression was found in 48.0% and no expression in 10.3% of tumor samples. Ep-CAM expression predicted poor overall survival in this patient cohort (p < 0.0001). Overall survival decreased significantly with increasing Ep-CAM expression. However, in this patient sample Ep-CAM expression was not an independent prognostic marker by multivariate analysis. Subgroup analysis revealed that Ep-CAM expression was a prognostic marker in node-positive (p < 0.0001) but not in node-negative (p = 0.58) breast cancer patients. Intriguingly, Ep-CAM expression was predictive for a dismal prognosis in patients receiving adjuvant cytotoxic (p = 0.03) or hormonal therapy (p < 0.0001) but not in untreated patients (p = 0.41). In summary, this study provides strong evidence that expression of Ep-CAM is a powerful marker of poor prognosis in node-positive invasive breast carcinoma and a potential predictive marker of sensitivity to adjuvant hormonal and/or cytotoxic treatment modalities.Entities:
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Year: 2004 PMID: 15567937 DOI: 10.1023/B:BREA.0000036787.59816.01
Source DB: PubMed Journal: Breast Cancer Res Treat ISSN: 0167-6806 Impact factor: 4.872