Secondary surgery with intraoperative chemohyperthermia in recurrent ovarian adenocarcinoma.

Abstract

5075 Background: Optimal treatment of peritoneal recurrences in ovarian cancer is debating with second line chemotherapies. We proposed association of secondary surgery with heated intraperitoneal per operative chemotherapy (HIPEC). The aim of study is to determine prognostic factors in a single center cohort. Methods: Retrospective study of consecutive 169 patients with peritoneal recurrence from ovarian cancer were performed to evaluate HIPEC and to identify prognostic factors. Peritoneal Cancer Index (PCI) assess tumor load and completeness cytoreductive score (CCS) were used to give quality of resection CCS0 (no visible tumor), CCS1 (persistent diffuse lesions < 2.5mm), CCS2 (2.5mm <CC2< 25mm) and over CCS3 status. HIPEC is performed with platinum based regimen. Endpoint was survival. Cox's regression model was used for multivariate survival analysis and extending Cox model for modelling survival data. Results: We have operated on 197 procedures (HIPEC) in 169 patients from 2000 to 2011. Mean age was 58 years old range [28-75]. Median PCI was 10. After completion of resection, allocation of CCS was CCS0=120, CCS1=70, CCS2 & CCS3 =7. Procedure related mortality was 1% and morbidity 21%, mean length of hospital stay was 17 days range [7-51]. 3 and 5 years overall survival were respectively 64.7% and 37.4 %. Median survival was 47.6 months and the median disease free survival was 20 months. PCI >10 (even if complete resection performed) and CCS2&3 were worse prognostic factors (HR respectively = 2.64 IC 95% [1.29-5.36] and = 3.31 IC 95 % [1.55-7.08]). Modelling of these factors, is very strong to predict risk of death over the 2 first years after HIPEC. Conclusions: The chemo-hyperthermia is a standardized and reproducible feasible method. Less extensive disease and the quality of cytoreduction remain an independent factor of better outcome. To date HIPEC allows to reach the longest median time survival in peritoneal recurrent ovarian cancer. Modelling survival data is useful to know the risk of dying.