Abstract | PURPOSE: METHODS: Expression of EpCAM was determined by immunohistochemistry in an unselected cohort of 117 patients with OC. Univariable and multivariable Cox regression analyses adjusted for age, tumor stage, histological grading, histological subtype, postoperative tumor burden and completeness of chemotherapy were performed in order to determine the prognostic influence of EpCAM. The Kaplan-Meier method is used to estimate survival rates. RESULTS: Univariable Cox regression analysis showed that overexpression of EpCAM is associated with favorable prognosis in terms of progression-free survival (PFS) (p = 0.011) and disease-specific survival (DSS) (p = 0.003). In multivariable Cox regression analysis, overexpression of EpCAM retains its significance independent of established prognostic factors for longer PFS [hazard ratios (HR) 0.408, 95 % confidence interval (CI) 0.197-0.846, p = 0.003] but not for PFS (HR 0.666, 95 % CI 0.366-1.212, p = 0.183). Kaplan-Meier plots demonstrate an influence on 5-year PFS rates (0 vs. 27.6 %, p = 0.048) and DSS rates (11.8 vs. 54.0 %, p = 0.018). CONCLUSIONS: These findings support the hypothesis that the expression of EpCAM is associated with favorable prognosis in OC.
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Authors | Marco Johannes Battista, Cristina Cotarelo, Sina Jakobi, Joscha Steetskamp, Georgios Makris, Isabel Sicking, Veronika Weyer, Marcus Schmidt |
Journal | Journal of cancer research and clinical oncology
(J Cancer Res Clin Oncol)
Vol. 140
Issue 7
Pg. 1097-102
(Jul 2014)
ISSN: 1432-1335 [Electronic] Germany |
PMID | 24728493
(Publication Type: Journal Article)
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Chemical References |
- Antigens, Neoplasm
- Cell Adhesion Molecules
- EPCAM protein, human
- Epithelial Cell Adhesion Molecule
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Topics |
- Adenocarcinoma, Mucinous
(diagnosis, metabolism, mortality)
- Aged
- Antigens, Neoplasm
(metabolism)
- Cell Adhesion Molecules
(metabolism)
- Cohort Studies
- Cystadenocarcinoma, Serous
(diagnosis, metabolism, mortality)
- Epithelial Cell Adhesion Molecule
- Female
- Humans
- Middle Aged
- Ovarian Neoplasms
(diagnosis, metabolism, mortality)
- Prognosis
- Survival Analysis
- Up-Regulation
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