Fertility-sparing approach in endometrioid grade II endometrial cancer: the role of molecular classification

Giorgio Bogani1, Luigi De Vitis2, Andrea Mariani3

  • 1Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Department of Gynecologic Oncology, Milan, Italy.

Abstract

Insights

Fertility-sparing treatment for grade II endometrioid endometrial cancer yielded low pregnancy rates, with less than 10% achieving term birth. Molecular classification did not predict treatment response in this study.

Area of Science:

  • Gynecologic Oncology
  • Reproductive Medicine
  • Molecular Pathology

Background:

  • Endometrioid endometrial cancer (EEC) grade II presents treatment challenges, particularly for patients desiring fertility preservation.
  • Fertility-sparing approaches (FSA) are considered, but their efficacy and patient selection require further investigation.

Purpose of the Study:

  • To evaluate the utility of molecular classification in selecting patients with grade II EEC for FSA.
  • To assess pregnancy outcomes and treatment response in patients undergoing FSA for grade II EEC.

Main Methods:

  • Retrospective multi-institutional study of 23 patients with grade II EEC undergoing FSA using a levonorgestrel intrauterine device.
  • Surrogate molecular classification categorized patients into POLE-mutated, mismatch repair deficient/microsatellite instability high, p53 abnormal, or no specific molecular profile groups.
  • Outcomes assessed included response rates, pregnancy achievement, disease progression, and need for hysterectomy.

Main Results:

  • Only 3 out of 7 women attempting pregnancy achieved live births (2 term), representing less than 10% of all patients.
  • Molecular classification did not correlate with 6-month or best response rates (p = .080 and p = .366, respectively).
  • High rates of disease progression (43.4%) and subsequent hysterectomy (82.6%) were observed.

Conclusions:

  • Fertility-sparing treatment for grade II EEC results in low term pregnancy rates.
  • Current molecular classification methods did not demonstrate predictive value for treatment response in this cohort.
  • Further research through collaborative registries is essential to refine patient selection for FSA.