Literature DB >> 32709536

A multivariate analysis of the prognostic impact of tumor burden, surgical timing and complexity after complete cytoreduction for advanced ovarian cancer.

Martina Aida Angeles1, Agnieszka Rychlik2, Bastien Cabarrou3, Emanuela Spagnolo4, Frédéric Guyon2, Asunción Pérez-Benavente5, Antonio Gil-Moreno5, Jaime Siegrist4, Denis Querleu2, Eliane Mery6, Laurence Gladieff7, Alicia Hernández4, Gwénaël Ferron8, Alejandra Martinez9.   

Abstract

OBJECTIVE: To assess the survival benefit of primary debulking surgery (PDS) compared to interval debulking surgery (IDS) after complete cytoreduction (CC-0) or cytoreduction to minimal residual disease (CC-1) in advanced ovarian cancer. Secondary objective was to evaluate the effect of tumor load and surgical complexity on patients' survival.
METHODS: A retrospective multicentric study was designed, including patients with IIIC-IV FIGO stage ovarian cancer who underwent PDS or IDS with CC-0 or CC-1 from January 2008 to December 2015 in four high-volume institutions. Patients were classified in three groups: PDS, IDS after 3-4 cycles of neoadjuvant chemotherapy (NACT), and IDS after 6 cycles. Disease-free survival (DFS) and overall survival (OS) were estimated. Univariable and multivariable analyses were conducted.
RESULTS: We included 549 patients, 175 (31.9%) underwent PDS, 224 (40.8%) had IDS after 3-4 cycles of NACT, and 150 (27.3%) underwent IDS after 6 cycles. Median DFS in PDS, IDS at 3-4 cycles and IDS at 6 cycles were 23.0 months (95%CI = [20.0-29.3]), 18.0 months (95%CI = [15.9-20.0]) and 17.1 months (95%CI = [15.0-20.9]), respectively; p < .001. Median OS were 84.0 months (95%CI = [68.3-111.0]), 50.7 months (95%CI = [44.6-59.5]) and 47.5 months (95%CI = [39.3-52.9]), respectively; p < .001. In multivariable analysis, high peritoneal cancer index score and NACT were negatively associated to DFS and OS. Surgical complexity and CC-1 were negatively associated to DFS.
CONCLUSION: PDS offered a survival gain of almost three years compared to IDS in patients with minimal or no residual disease after surgery. PDS should remain the standard of care for advanced ovarian cancer.
Copyright © 2020. Published by Elsevier Inc.

Entities:  

Keywords:  Advanced epithelial ovarian cancer; Interval debulking surgery; Neoadjuvant chemotherapy; Peritoneal cancer index; Primary debulking surgery; Ultraradical surgery

Mesh:

Year:  2020        PMID: 32709536     DOI: 10.1016/j.ygyno.2020.06.495

Source DB:  PubMed          Journal:  Gynecol Oncol        ISSN: 0090-8258            Impact factor:   5.482


  4 in total

1.  Timing of surgery in patients with partial response or stable disease after neoadjuvant chemotherapy for advanced ovarian cancer.

Authors:  Roni Nitecki; Nicole D Fleming; Bryan M Fellman; Larissa A Meyer; Anil K Sood; Karen H Lu; J Alejandro Rauh-Hain
Journal:  Gynecol Oncol       Date:  2021-04-16       Impact factor: 5.304

2.  Effect of tumor burden and radical surgery on survival difference between upfront, early interval or delayed cytoreductive surgery in ovarian cancer.

Authors:  Martina Aida Angeles; Bastien Cabarrou; Antonio Gil-Moreno; Asunción Pérez-Benavente; Emanuela Spagnolo; Agnieszka Rychlik; Carlos Martínez-Gómez; Frédéric Guyon; Ignacio Zapardiel; Denis Querleu; Claire Illac; Federico Migliorelli; Sarah Bétrian; Gwénaël Ferron; Alicia Hernández; Alejandra Martinez
Journal:  J Gynecol Oncol       Date:  2021-08-13       Impact factor: 4.401

3.  Adherence to French and ESGO Quality Indicators in Ovarian Cancer Surgery: An Ad-Hoc Analysis from the Prospective Multicentric CURSOC Study.

Authors:  Martinez Alejandra; Witold Gertych; Christophe Pomel; Gwenael Ferron; Amelie Lusque; Martina Aida Angeles; Eric Lambaudie; Roman Rouzier; Naoual Bakrin; Francois Golfier; Olivier Glehen; Michel Canis; Nicolas Bourdel; Nicolas Pouget; Pierre-Emmanuel Colombo; Frédéric Guyon; Jacques Meurette; Denis Querleu
Journal:  Cancers (Basel)       Date:  2021-03-30       Impact factor: 6.639

4.  Feature Selection is Critical for 2-Year Prognosis in Advanced Stage High Grade Serous Ovarian Cancer by Using Machine Learning.

Authors:  Alexandros Laios; Angeliki Katsenou; Yong Sheng Tan; Racheal Johnson; Mohamed Otify; Angelika Kaufmann; Sarika Munot; Amudha Thangavelu; Richard Hutson; Tim Broadhead; Georgios Theophilou; David Nugent; Diederick De Jong
Journal:  Cancer Control       Date:  2021 Jan-Dec       Impact factor: 3.302

  4 in total

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