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#241 Improving endometrial cancer assessment by combining the new technique of GENomic profiling with surgical extra uterine disease assessment (EUGENIE). Results of the first 90 enrolled patients
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  1. Rita Trozzi1,2,
  2. Luigi Congedo1,2,
  3. Emanuele Perrone1,
  4. Camilla Nero1,2,
  5. Emilia Palmieri1,2,
  6. Aniello Foresta1,2,
  7. Jenneke C Kasius3,
  8. Johanna Pijnenborg4,
  9. Thaïs Baert5,
  10. Annouschka Laenen6,
  11. Anne-Sophie Van Rompuy7,8,
  12. Ignacio Zapardiel9,
  13. Giuseppe Vizzielli10,11,
  14. Jure Knez12,
  15. Giovanni Scambia1,2,
  16. Francesco Fanfani1,2 and
  17. Frédéric Amant5,13
  1. 1Department of Women, Children and Public Health Sciences, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Rome, Italy
  2. 2Facoltà di Medicina e Chirurgia, Università Cattolica del Sacro Cuore, Rome, Italy
  3. 3Department of Gynecological Oncology, Amsterdam University Medical Centres, Centre for Gynecological Oncology Amsterdam (CGOA), 22660 1100 DD, Amsterdam, The Netherlands
  4. 4Department of Obstetrics and Gynecology, Radboudumc, Nijmegen, The Netherlands
  5. 5Division of Gynecologic Oncology; Department of Obstetrics and gynecology, KU Leuven University Hospitals Leuven, Leuven, Belgium
  6. 6Leuven Biostatistics and Statistical Bioinformatics Centre (L-BioStat), KULeuven, Leuven, Belgium
  7. 7Department of Pathology, University Hospitals Leuven, Leuven, Belgium
  8. 8Laboratory of Translational Cell and Tissue Research, Department of Imaging and Pathology, KU Leuven – University of Leuven, Leuven, Belgium
  9. 9Gynecologic Oncology Unit, La Paz University Hospital, Madrid, Spain
  10. 10Department of Medical Area (DAME), University of Udine, Udine, Italy
  11. 11Clinic of Obstetrics and Gynecology, Udine, Italy
  12. 12Department for Gynaecological Oncology, University Medical Centre Maribor, Maribor, Slovenia
  13. 13Center for Gynaecologic Oncology, Netherlands Cancer Institute, Amsterdam, The Netherlands

Abstract

Introduction/Background The molecular classification of endometrial cancer (EC) has been shown to surpass histological subtyping and grading and more efficiently predict prognosis. However, molecular classification has not affected our surgical approach and only a few studies investigated the relationship between the four molecular subgroups and the tumor spread beyond the uterus. We aim to improve the current risk classification system by integrating the disease stage into the molecular classification.

Methodology EUGENIE is a prospective multicentre study aiming to include 1000 EC patients. Besides the standard surgical procedures, sentinel/lymphadenectomy, peritoneal biopsies, and omentectomy/omental biopsies will be performed in all the enrolled patients. EUGENIE is currently recruiting patients in UZ Leuven Belgium; Fondazione Policlinico Gemelli IRCCS, Italy, and University Medical Centre, Maribor, Slovenia

Results At the data cut-off of 31/07/23, 170 patients have been enrolled but the histological and molecular data are available for 90 patients (table 1). Among them, 19 (21%) were advanced stages (2009 FIGO stage III or IV), where 11 EC cases were known as such before surgery. Instead, as a result of the EUGENIE procedures, 8 out of 79 (10%) apparent early stage cases were upstaged because of previously undetected metastases. Regarding the advanced cases, lymph nodes metastases were detected in all 4 molecular subgroups (mismatch repair deficiency, MMRd; Non specified molecular profile, NSMP; POLE mutated; p53 aberrant, p53abn), while transperitoneal spread was observed only in MMRd, p53abn and NSMP EC. Remarkably, 22,5% of NSMP EC showed positive pelvic lymph nodes.

Abstract #241 Table 1

Conclusion Our preliminary results show that EUGENIE is feasible and reveal possible different spread patterns for the 4 different molecular groups of EC. The final results are expected in 2028 and may guide surgical staging and adjuvant treatment for each molecular type

Disclosures The authors declare no disclosures.

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