Ten-year follow-up study of long-term outcomes after conservative surgery for early-stage ovarian cancer

Int J Gynaecol Obstet. 2020 Aug;150(2):169-176. doi: 10.1002/ijgo.13199. Epub 2020 Jun 3.

Abstract

Objective: To evaluate long-term outcomes after surgery for apparent early-stage ovarian cancer (OC).

Methods: Retrospective analysis of women who underwent staging surgery for apparent early-stage OC at a single center in Milan, Italy, from 1990 to 2008, and had a follow-up longer than 10 years (living women with no recurrence). Univariate and multivariate analyses and propensity score matching were carried out.

Results: Overall, 182 women underwent radical (n=148, 81.3%) or conservative (n=34, 18.7%) procedures for early-stage OC. Ten-year disease-free and overall survival were 82.9% (n=151) and 87.9% (n=160), respectively. Conservative or radical surgery had similar disease-free (log-rank test, P=0.783) and overall (log-rank test, P=0.783) survival. These data were confirmed after the application of propensity score matching. High-risk features correlated with non-significant worse disease-free survival (P=0.080). In the high-risk group (≥Grade 3 or ≥ Stage IC), type of surgical approach (conservative vs radical) did not affect survival (hazard ratio, 0.81; 95% confidence interval, 0.18-3.56; P=0.781).

Conclusion: Women with early-stage OC had encouraging long-term survival. The presence of high-risk disease had detrimental effects on survival, regardless of surgical approach. High-risk disease should not be considered a contraindication to conservative surgery.

Keywords: Conservative; Fertility sparing; Ovarian cancer; Staging surgery; Survival.

MeSH terms

  • Adult
  • Case-Control Studies
  • Conservative Treatment / methods
  • Conservative Treatment / mortality*
  • Disease-Free Survival*
  • Female
  • Follow-Up Studies
  • Humans
  • Italy
  • Middle Aged
  • Neoplasm Recurrence, Local / epidemiology
  • Neoplasm Staging / methods
  • Ovarian Neoplasms / mortality
  • Ovarian Neoplasms / surgery*
  • Propensity Score
  • Proportional Hazards Models
  • Retrospective Studies