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Predictive values of hCG clearance for risk of methotrexate resistance in low-risk gestational trophoblastic neoplasias.
- Source :
-
Annals of oncology : official journal of the European Society for Medical Oncology [Ann Oncol] 2010 Aug; Vol. 21 (8), pp. 1643-1650. Date of Electronic Publication: 2010 Feb 12. - Publication Year :
- 2010
-
Abstract
- Background: Early identification of patients at high risk for chemoresistance among those treated with methotrexate (MTX) for low-risk gestational trophoblastic neoplasia (GTN) is needed. We modeled human chorionic gonadotropin (hCG) decline during MTX therapy using a kinetic population approach to calculate individual hCG clearance (CL(hCG)) and assessed the predictive value of CL(hCG) for MTX resistance.<br />Patients and Methods: A total of 154 patients with low-risk GTN treated with 8-day MTX regimen were retrospectively studied. NONMEM was used to model hCG decrease equations between day 0 and day 40 of chemotherapy. Receiver operating characteristic curve analysis defined the best CL(hCG) threshold. Univariate/multivariate survival analyses determined the predictive value of CL(hCG) and compared it with published predictive factors.<br />Results: A monoexponential equation best modeled hCG decrease: hCG(t) = 3900 x e(-0.149 x t). Median CL(hCG) was 0.57 l/day (quartiles: 0.37-0.74). Only choriocarcinoma pathology [yes versus no: hazard ratio (HR) = 6.01; 95% confidence interval (CI) 2.2-16.6; P < 0.001] and unfavorable CL(hCG) quartile (< or =0.37 versus >0.37 l/day: HR = 6.75; 95% CI 2.7-16.8; P < 0.001) were significant independent predictive factors of MTX resistance risk.<br />Conclusion: In the second largest cohort of low-risk GTN patients reported to date, choriocarcinoma pathology and CL(hCG) < or =0.37 l/day were major independent predictive factors for MTX resistance risk.
Details
- Language :
- English
- ISSN :
- 1569-8041
- Volume :
- 21
- Issue :
- 8
- Database :
- MEDLINE
- Journal :
- Annals of oncology : official journal of the European Society for Medical Oncology
- Publication Type :
- Academic Journal
- Accession number :
- 20154304
- Full Text :
- https://doi.org/10.1093/annonc/mdq033