The strong prognostic value of KELIM, a model-based parameter from CA 125 kinetics in ovarian cancer Ovarian Cancer and Us OVARIAN CANCER and US Ovarian Cancer and Us

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Sunday, May 19, 2013

The strong prognostic value of KELIM, a model-based parameter from CA 125 kinetics in ovarian cancer



Abstract


Highlights

Mathematical modeling of CA-125 kinetics in ROC patients enables understanding of the CA-125 time-change components: cancer production, chemotherapy effect, elimination.
The contradictory surrogacy of GCIG-defined CA-125 response regarding progression free survival reported by Lee et al (JNCI 2011;103:1338) was confirmed.
The modeled CA-125 elimination rate KELIM, potentially assessable in routine, may have promising predictive value regarding progression free survival.

Background

Unexpected results were recently reported about the poor surrogacy of Gynecologic Cancer Intergroup (GCIG) defined CA-125 response in recurrent ovarian cancer (ROC) patients. Mathematical modeling may help describe CA-125 decline dynamically and discriminate prognostic kinetic parameters (technical info).

Methods

Data from CALYPSO phase III trial comparing 2 carboplatin-based regimens in ROC patients were analyzed. Based on population kinetic approach, serum [CA-125] concentration-time profiles during first 50 treatment days were fit to a semi-mechanistic model with following parameters: “d[CA-125]/dt = (KPROD * exp (BETA*t)) * Effect –KELIM*[CA-125]” with time, t; tumor growth rate, BETA; CA-125 tumor production rate, KPROD; CA-125 elimination rate, KELIM and K-dependent treatment indirect Effect. The predictive values of kinetic parameters were tested regarding progression-free survival (PFS) against other reported prognostic factors.

Results

Individual CA-125 kinetic profiles from 895 patients were modeled. Three kinetic parameters categorized by medians had predictive values using univariate analyses: K; KPROD and KELIM (all P<0.001). Using Cox multivariate analysis, 5 independent predictors of PFS remained significant: GCIG CA-125 response (favoring carboplatin-paclitaxel arm), treatment arm, platinum free-interval, measurable lesions and KELIM (HR = 0.53; 95% CI 0.45-0.61; P<0.001).

Conclusions

Mathematical modeling of CA-125 kinetics in ROC patients enables understanding of the time-change components during chemotherapy. The contradictory surrogacy of GCIG-defined CA-125 response was confirmed. The modeled CA-125 elimination rate KELIM, potentially assessable in routine, may have promising predictive value regarding PFS. Further validation of this predictive marker is warranted.


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Presentation during congress: This study was presented during 2011 ASCO Annual Meeting (Abstract 5065).

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