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Modeling CA-125 During Neoadjuvant Chemotherapy for Predicting Optimal Cytoreduction and Relapse Risk in Ovarian Cancer.
- Source :
-
Anticancer research [Anticancer Res] 2017 Dec; Vol. 37 (12), pp. 6879-6886. - Publication Year :
- 2017
-
Abstract
- Aim: To investigate the prognostic value of modeled CA-125 kinetic parameters regarding surgery outcomes and time to second-line chemotherapy in a population of ovarian cancer patients treated with neoadjuvant chemotherapy followed by interval cytoreduction.<br />Patients and Methods: This retrospective study included consecutive patients with FIGO stage IIIc/IV ovarian cancer treated between 2006 and 2014. We characterized CA-125 kinetics and identified modeled kinetic parameters.<br />Results: Fifty four patients were included. KELIM (modeled CA-125 elimination rate constant) was an independent predictive parameter of optimal cytoreduction (OR=0.18; 95% CI=0.04-0.69; p=0.02). In the optimal cytoreduction population (40 patients, 74.1%), E <subscript>50</subscript> (concentration producing 50% of the maximum chemotherapy effect) was a significant prognostic parameter regarding time to second-line chemotherapy (HR=0.38; 95% CI=0.173-0.854; p=0.019).<br />Conclusion: We identified CA-125 modeled kinetic parameters during neoadjuvant chemotherapy harboring potential predictive values regarding the likelihood of optimal cytoreduction, along with time to second-line chemotherapy in optimally-cytoreduced patients.<br /> (Copyright© 2017, International Institute of Anticancer Research (Dr. George J. Delinasios), All rights reserved.)
- Subjects :
- Adult
Aged
Aged, 80 and over
Female
Humans
Kaplan-Meier Estimate
Kinetics
Middle Aged
Neoadjuvant Therapy
Neoplasm Recurrence, Local
Ovarian Neoplasms drug therapy
Prognosis
Risk Factors
CA-125 Antigen analysis
Cytoreduction Surgical Procedures methods
Ovarian Neoplasms metabolism
Ovarian Neoplasms surgery
Subjects
Details
- Language :
- English
- ISSN :
- 1791-7530
- Volume :
- 37
- Issue :
- 12
- Database :
- MEDLINE
- Journal :
- Anticancer research
- Publication Type :
- Academic Journal
- Accession number :
- 29187468
- Full Text :
- https://doi.org/10.21873/anticanres.12150