Publication date: October 2017
Source:European Journal of Cancer, Volume 84
Author(s): D.P. Modest, I. Ricard, S. Stintzing, L. Fischer von Weikersthal, T. Decker, A. Kiani, U. Vehling-Kaiser, S.-E. Al-Batran, T. Heintges, C. Kahl, G. Seipelt, F. Kullmann, W. Scheithauer, M. Moehler, C.B. Westphalen, J.W. Holch, J.C. von Einem, S. Held, V. Heinemann
BackgroundWe explored the impacts of sequential application of various treatment lines on survival kinetics. Therefore, differences in overall survival (OS) observed in FIRE-3 were investigated in the context of time and exposure to applied treatment.Patients and methodsOS analyses (stratified by treatment with FOLFIRI plus either cetuximab or bevacizumab) were performed according to time intervals as well as using a Cox model to define changes of hazard ratio (HR) over time.ResultsThe fraction of patients with systemic treatment and time on treatment markedly decreases over treatment lines and time. OS evaluation by a Cox model indicated a trend towards a non-proportional hazard between treatment arms (P = 0.12/P = 0.09 for KRAS–intention-to-treat (ITT)/all-RAS wild-type populations, respectively). To improve the fit of the model, a change-point (point of curve separation) was estimated at 22.6 months (day 687) after randomisation. The HR between the two arms before 22.6 months was not significantly different from one. However, markedly different survival kinetics in favour of the cetuximab arm were apparent after the change-point (KRAS-ITT: P = 0.0018; HR, 0.60 [95% confidence interval [CI], 0.44–0.83] and RAS: P = 0.0006; HR, 0.51 [95% CI, 0.35–0.75]).ConclusionThe differences in OS favouring the cetuximab arm become apparent about 22.6 months after randomisation, indicating that only those patients who survive 22.6 months after randomisation benefit from the superiority of the cetuximab arm. When OS curves separate, only few patients receive active systemic treatment in short courses, suggesting that earlier treatment effects are responsible for later kinetics of survival curves.
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