Literature DB >> 11748971

Multivariate analysis of the prognostic significance of DNA-ploidy and S-phase fraction in ovarian cancer determined by flow cytometry following detection of cytokeratin-labeled tumor cells.

Rainer Kimmig1, Pauline Wimberger, Peter Hillemanns, Thomas Kapsner, Claudia Caspari, Hermann Hepp.   

Abstract

OBJECTIVE: The outcome of patients with advanced ovarian cancer is poor despite aggressive therapy including surgery and multiagent chemotherapy. Valid prognostic factors are necessary to estimate the course of the disease and to define biologically similar subgroups for analysis of therapeutic efficacy.
METHODS: This study is the first published prospective study concerning the prognostic significance of DNA-ploidy and S-phase fraction in ovarian cancer following enrichment of tumor cells by cytokeratin labeling. Epithelial cells were labeled by FITC-conjugated cytokeratin antibody (CK 5, 6, 8, and 17) prior to flow cytometric cell cycle analysis in 129 fresh specimens of primary ovarian cancer.
RESULTS: Recurrence-free survival of patients with DNA-diploid primary ovarian cancer was significantly better compared to that of patients with DNA-aneuploid tumors in univariate analysis (47% vs 18%, P = 0.01). The tumor-dependent overall survival of patients with DNA-diploid tumors was 57% compared to 30% with DNA-aneuploid tumors (P = 0.04). In FIGO stage III ovarian cancer DNA-ploidy, optimized by cytokeratin gating for tumor cells, achieved independent prognostic significance. No significance was found for S-phase fraction. However, despite convincing methodological advantages in the detection of DNA-aneuploid subpopulations the clinical significance of cytokeratin gating of epithelial cells was only marginal.
CONCLUSION: DNA-ploidy has been shown to be as powerful or even more so in comparison to postoperative residual tumor in multivariate analysis for predicting clinical outcome in advanced ovarian cancer. Thus, determination of DNA-ploidy should be introduced to currently recruiting phase III studies for therapy of ovarian cancer for better definition of prognostic subgroups.

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Year:  2002        PMID: 11748971     DOI: 10.1006/gyno.2001.6440

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  4 in total

1.  DNA ploidy, nuclear size, proliferation index and DNA-hypomethylation in ovarian cancer.

Authors:  Alain G Zeimet; Heidi Fiegl; Georg Goebel; Francis Kopp; Claude Allasia; Daniel Reimer; Ilona Steppan; Elisabeth Mueller-Holzner; Melanie Ehrlich; Christian Marth
Journal:  Gynecol Oncol       Date:  2011-01-20       Impact factor: 5.482

2.  Distinct patterns of structural and numerical chromosomal instability characterize sporadic ovarian cancer.

Authors:  Jane Bayani; Jana Paderova; Joan Murphy; Barry Rosen; Maria Zielenska; Jeremy A Squire
Journal:  Neoplasia       Date:  2008-10       Impact factor: 5.715

3.  DNA Cytometry and Nuclear Morphometry in Ovarian Benign, Borderline and Malignant Tumors.

Authors:  Amina A Gamal El Din; Manal A Badawi; Shereen E Abdel Aal; Nihad A Ibrahim; Fatma A Morsy; Nermeen M Shaffie
Journal:  Open Access Maced J Med Sci       Date:  2015-10-01

4.  DNA ploidy and S-phase fraction analysis in peritoneal carcinomatosis from ovarian cancer: correlation with clinical pathological factors and response to chemotherapy.

Authors:  Silvia Carloni; Giulia Gallerani; Anna Tesei; Emanuela Scarpi; Giorgio Maria Verdecchia; Salvatore Virzì; Francesco Fabbri; Chiara Arienti
Journal:  Onco Targets Ther       Date:  2017-09-20       Impact factor: 4.147

  4 in total

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