Vizzielli, Giuseppe

Introduction: Endometrial carcinoma (EC) is the most prevalent gynecological cancer. It is characterized by a clinical, pathological, and prognostic trajectory that has become inextricably linked to the disease’s molecular profile. Therefore, it is imperative to examine its relevance across all facets associated with the disease. Methods: This is a single-center retrospective study to assess tumor molecular profile concordance between EC diagnosis and recurrence. All patients who underwent hysterectomy for EC between 2016 and 2020 were included. Results: In total, 221 cases of EC were collected. In total, 18 recurrences were found. In two cases, there was a molecular classification (MC) change: an MMR-deficient endometrioid EC shifted to a “multiple classifier” subtype. The second, an NSMP subtype, at second recurrence revealed a switched MC to an aberrant mutated p53 profile. This discordance rate was non-significant in our cohort. However, considering the lack of evidence, it opens new insights to be revealed. Conclusions: This is the first study focusing on the discordance rate of MCs in EC relapses compared to the initial diagnosis. Future large-scale retrospective and prospective multicenter studies are essential for exploring this aspect.

Background and Objectives: Robotic-assisted laparoscopy (RS) has been widely adopted for the management of endometrial cancer (EC) due to favorable perioperative outcomes, especially in the context of obesity, which is an established risk factor for EC. This study retrospectively evaluated the perioperative outcomes of RS versus conventional laparoscopy (LS) in treating EC and atypical endometrial hyperplasia (AH). Methods: Between November 2021 and October 2023, 138 patients with AH or EC underwent surgery at the Clinic of Obstetric and Gynecological—Azienda Sanitaria Universitaria Friuli Centrale, Udine. All patients had total hysterectomy with bilateral salpingo-oophorectomy, with or without lymphadenectomy or sentinel lymph node biopsy. The study included 62 patients treated with LS and 62 with RS. Results: The median BMI was higher in the RS group (35.5 vs. 24 kg/m2, p = 0.001). There was no significant difference in operative time between the laparoscopic group and the robotic console time (median 130 vs. 130 min, p = 0.131). No significant differences were found in terms of blood loss, conversion to laparotomy, intraoperative complications, hospital stay, or early postoperative complications between the two groups. Conclusions: Our data confirm the feasibility of robotic surgery in obese patients, allowing surgical results comparable to those of laparoscopy in normal-weight patients.

Purpose of review Endometrial cancer is the most common gynecologic malignancy and sentinel lymphnode biopsy is accepted as a valid alternative to lymphadenectomy for staging purposes. Recently, sentinel node biopsy has been also extended to high-risk disease where risk of nodal involvement is higher. Recent findings Our review focuses on the definition of high-risk disease and how there are different concepts of high-risk in the scientific community. While the sensitivity of sentinel node biopsy has been established and accepted in lower risk endometrial cancers, only in recent years retrospective and prospective evidence has been published. Ultrastaging allows to identify more nodal disease that would normally be overlooked by traditional staging, allowing proper adjuvant therapy to be administered. The longstanding question of whether lymphadenectomy in high-risk settings is a therapeutic or a staging procedure remains open. Retrospective data, however, show that oncologic outcomes are not compromised by sentinel node biopsy. Summary Sentinel node biopsy is a valid alternative to traditional, more extensive nodal staging: with the addition of ultrastaging, it has more sensitivity than lymphadenectomy with less surgical morbidity. Ongoing trials will definitively establish if oncological outcomes are affected by sentinel node biopsy, but retrospective data are encouraging.