miRNA levels are associated with body mass index in endometrial cancer and may have implications for therapy.

Endometrial cancer (EC) is the most prevalent gynecological cancer in high-income countries. Its incidence is skyrocketing due to the increase in risk factors such as obesity, which represents a true pandemic. This study aimed to evaluate microRNA (miRNA) expression in obesity-related EC to identify potential associations between this specific cancer type and obesity. miRNA levels were analyzed in 84 EC patients stratified based on body mass index (BMI; ≥30 or <30) and nine noncancer women with obesity. The data were further tested in The Cancer Genome Atlas (TCGA) cohort, including 384 EC patients, 235 with BMI ≥30 and 149 with BMI <30. Prediction of miRNA targets and analysis of their expression were also performed to identify the potential epigenetic networks involved in obesity modulation. In the EC cohort, BMI ≥30 was significantly associated with 11 deregulated miRNAs. The topmost deregulated miRNAs were first analyzed in 84 EC samples by single miRNA assay and then tested in the TCGA dataset. This independent validation provided further confirmation about the significant difference of three miRNAs (miR-199a-5p, miR-449a, miR-449b-5p) in normal-weight EC patients versus EC patients with obesity, resulting significantly higher expressed in the latter. Moreover, the three miRNAs were significantly correlated with grade, histological type, and overall survival. Analysis of their target genes revealed that these miRNAs may regulate obesity-related pathways. In conclusion, we identified specific miRNAs associated with BMI that are potentially involved in modulating obesity-related pathways and that may provide novel implications for the clinical management of obese EC patients.

SENECA study: staging endometrial cancer based on molecular classification.

OBJECTIVE: Management of endometrial cancer is advancing, with accurate staging crucial for guiding treatment decisions. Understanding sentinel lymph node (SLN) involvement rates across molecular subgroups is essential. To evaluate SLN involvement in early-stage (International Federation of Gynecology and Obstetrics 2009 I-II) endometrial cancer, considering molecular subtypes and new European Society of Gynaecological Oncology (ESGO) risk classification. METHODS: The SENECA study retrospectively reviewed data from 2139 women with stage I-II endometrial cancer across 66 centers in 16 countries. Patients underwent surgery with SLN assessment following ESGO guidelines between January 2021 and December 2022. Molecular analysis was performed on pre-operative biopsies or hysterectomy specimens. RESULTS: Among the 2139 patients, the molecular subgroups were as follows: 272 (12.7%) p53 abnormal (p53abn, 1191 (55.7%) non-specific molecular profile (NSMP), 581 (27.2%) mismatch repair deficient (MMRd), 95 (4.4%) POLE mutated (POLE-mut). Tracer diffusion was detected in, at least one side, in 97.2% of the cases; with a bilateral diffusion observed in 82.7% of the cases. By ultrastaging (90.7% of the cases) or one-step nucleic acid amplification (198 (9.3%) of the cases), 205 patients were identified with affected sentinel lymph nodes, representing 9.6% of the sample. Of these, 139 (67.8%) had low-volume metastases (including micrometastases, 42.9%; and isolated tumor cells, 24.9%) while 66 (32.2%) had macrometastases. Significant differences in SLN involvement were observed between molecular subtypes, with p53abn and MMRd groups having the highest rates (12.50% and 12.40%, respectively) compared with NSMP (7.80%) and POLE-mut (6.30%), (p=0.004); (p53abn, OR=1.69 (95% CI 1.11 to 2.56), p=0.014; MMRd, OR=1.67 (95% CI 1.21 to 2.31), p=0.002). Differences were also noted among ESGO risk groups (2.84% for low-risk patients, 6.62% for intermediate-risk patients, 21.63% for high-intermediate risk patients, and 22.51% for high-risk patients; p<0.001). CONCLUSIONS: Our study reveals significant differences in SLN involvement among patients with early-stage endometrial cancer based on molecular subtypes. This underscores the importance of considering molecular characteristics for accurate staging and optimal management decisions.

Combined Robotic and Vaginal Surgery for Pelvic Exenteration due to Vaginal Sarcoma Relapse in an Obese Woman.

STUDY OBJECTIVE: Pelvic exenteration (PE) is an aggressive surgical procedure that implies a large hard-to-fill pelvic defect. Different reconstruction techniques were proposed to improve abdominal organ support and reduce complications (infections, pelvic organs herniation, vaginal stump dehiscence, bowel prolapse and obstruction) [1], with conflicting results [2]. Because of young age and survival greater than 50% at 5 years in patients with no residual tumor after surgery [3], a new approach with better clinical results to pelvic reconstruction is needed. DESIGN: The aim of this surgical film is to present an unusual presentation of vaginal sarcoma, successfully managed with a minimally invasive approach, and to illustrate our contextual multilayer technique of pelvic reconstruction using a combination of pedicled omental flap (POF) and human acellular dermal matrix (HADM). SETTING: Tertiary level academic hospital. A 42-year-old obese patient with recurrent and symptomatic myxoid leiomyosarcoma, previously underwent vaginal-assisted laparoscopic surgery at a primary care center for the removal of a vaginal swelling. INTERVENTIONS: The multidisciplinary board determined anterior PE as the optimal therapeutic approach. Given the patient's body mass index (33 kg/m2), young age, and the favorable outcomes of robotic surgery in obese patients compared with other approaches [3,4], we proposed a combined robotic and vaginal surgery for both exenteration and reconstructive procedures [5]. During surgery, we initially explored the abdominal cavity to exclude macroscopic metastasis, followed by anterior PE. Urinary diversion was achieved with a Bricker ileal conduit by means of an ileoileal laterolateral anastomosis and an uretero-ileo-cutaneostomy. The pelvic dead space was partially filled with a POF on the left gastroepiploic artery. Subsequently, the pelvic defect was covered by a 15 × 10 mm HADM inlay inserted circumferentially at the pelvic brim, fixed with a barbed thread suture on residual pelvic structures. The final pathology confirmed the recurrence of myxoid leiomyosarcoma and indicated tumor-free resection margins. The intraoperative and postoperative periods were uneventful. The patient was discharged 14 days after surgery and underwent adjuvant doxorubicin- and dacarbazine-based chemotherapy, which was initiated 45 days after the surgery. Currently the patient is asymptomatic and disease free at the sixth month of follow-up. CONCLUSION: Robotic PE proves to be a feasible technique in obese patients, reducing postoperative hospital stay and complications. The contextual pelvic floor reconstruction with a POF and HADM supports abdominal viscera, diminishing interorgan adhesions and bowel prolapse. VIDEO ABSTRACT.

Laser Therapy in Heavily Treated Oncological Patients Improves Vaginal Health Parameters.

This study aimed to investigate the efficacy and duration of multiple non-ablative intravaginal CO2 laser (V-lase®) cycles in breast cancer patients, gynecological and other pelvic cancers previously subjected to multiple oncological treatments. This prospective study enrolled women under the age of 65 years who reported vaginal symptoms. Data on the Vaginal Health Index (VHI), vaginal length (VL), vaginal pain measured using a Visual Analog Scale (VAS), and the Female Sexual Function Index (FSFI) were collected at baseline and before each laser application, and at subsequent follow-up visits. A total of 170 laser applications were performed on 113 women with various types of cancer. Most patients (57.5%) had received radiotherapy-based treatments before receiving laser treatment. Vaginal health parameters and sexual function improved significantly with each laser application. However, a temporary decline in these improvements occurred during the intervals between cycles. Such worsening was reversed with the subsequent cycle in all groups of patients, irrespective of the type of oncological treatments they had undergone. Multiple course vaginal laser therapy showed promising results as a potential treatment for vaginal atrophy in heavily treated gynecological and breast cancer patients, necessitating further research to determine the optimal time interval between cycles to ensure sustained positive effects.

Machine Learning Applied to Pre-Operative Computed-Tomography-Based Radiomic Features Can Accurately Differentiate Uterine Leiomyoma from Leiomyosarcoma: A Pilot Study.

BACKGROUND: The accurate discrimination of uterine leiomyosarcomas and leiomyomas in a pre-operative setting remains a current challenge. To date, the diagnosis is made by a pathologist on the excised tumor. The aim of this study was to develop a machine learning algorithm using radiomic data extracted from contrast-enhanced computed tomography (CECT) images that could accurately distinguish leiomyosarcomas from leiomyomas. METHODS: Pre-operative CECT images from patients submitted to surgery with a histological diagnosis of leiomyoma or leiomyosarcoma were used for the region of interest identification and radiomic feature extraction. Feature extraction was conducted using the PyRadiomics library, and three feature selection methods combined with the general linear model (GLM), random forest (RF), and support vector machine (SVM) classifiers were built, trained, and tested for the binary classification task (malignant vs. benign). In parallel, radiologists assessed the diagnosis with or without clinical data. RESULTS: A total of 30 patients with leiomyosarcoma (mean age 59 years) and 35 patients with leiomyoma (mean age 48 years) were included in the study, comprising 30 and 51 lesions, respectively. Out of nine machine learning models, the three feature selection methods combined with the GLM and RF classifiers showed good performances, with predicted area under the curve (AUC), sensitivity, and specificity ranging from 0.78 to 0.97, from 0.78 to 1.00, and from 0.67 to 0.93, respectively, when compared to the results obtained from experienced radiologists when blinded to the clinical profile (AUC = 0.73 95%CI = 0.62-0.84), as well as when the clinical data were consulted (AUC = 0.75 95%CI = 0.65-0.85). CONCLUSIONS: CECT images integrated with radiomics have great potential in differentiating uterine leiomyomas from leiomyosarcomas. Such a tool can be used to mitigate the risks of eventual surgical spread in the case of leiomyosarcoma and allow for safer fertility-sparing treatment in patients with benign uterine lesions.

Sarcopenic Obesity in Cervical Carcinoma: A Strong and Independent Prognostic Factor beyond the Conventional Predictors (ESTHER Study-AFRAID Project).

Locally advanced cervical cancer represents a significant treatment challenge. Body composition parameters such as body mass index, sarcopenia, and sarcopenic obesity, defined by sarcopenia and BMI ≥ 30 kg/m2, have been identified as potential prognostic factors, yet their overall impact remains underexplored. This study assessed the relationship between these anthropometric parameters alongside clinical prognostic factors on the prognosis of 173 cervical cancer patients. Survival outcomes in terms of local control (LC), distant metastasis-free survival (DMFS), disease-free survival (DFS), and overall survival (OS) were analyzed using Kaplan regression methods-Meier and Cox. Older age, lower hemoglobin levels, higher FIGO (International Federation of Gynecology and Obstetrics) stages, and lower total radiation doses were significantly associated with worse outcomes. Univariate analysis showed a significant correlation between BMI and the outcomes examined, revealing that normal-weight patients show higher survival rates, which was not confirmed by the multivariate analysis. Sarcopenia was not correlated with any of the outcomes considered, while sarcopenic obesity was identified as an independent negative predictor of DFS (HR: 5.289, 95% CI: 1.298-21.546, p = 0.020) and OS (HR: 2.645, 95% CI: 1.275-5.488, p = 0.009). This study highlights the potential of sarcopenic obesity as an independent predictor of clinical outcomes. These results support their inclusion in prognostic assessments and treatment planning for patients with advanced cervical cancer.

Sentinel node mapping in high-intermediate and high-risk endometrial cancer: Analysis of 5-year oncologic outcomes.

OBJECTIVE: To assess 5-year oncologic outcomes of apparent early-stage high-intermediate and high-risk endometrial cancer undergoing sentinel node mapping versus systematic lymphadenectomy. METHODS: This is a multi-institutional retrospective, propensity-matched study evaluating data of high-intermediate and high-risk endometrial cancer (according to ESGO/ESTRO/ESP guidelines) undergoing sentinel node mapping versus systematic pelvic lymphadenectomy (with and without para-aortic lymphadenectomy). Survival outcomes were assessed using Kaplan-Meier and Cox proportional hazard methods. RESULTS: Overall, the charts of 242 patients with high-intermediate and high-risk endometrial cancer were retrieved. Data on 73 (30.1%) patients undergoing hysterectomy plus sentinel node mapping were analyzed. Forty-two (57.5%) and 31 (42.5%) patients were classified in the high-intermediate and high-risk groups, respectively. Unilateral sentinel node mapping was achieved in all patients. Bilateral mapping was achieved in 67 (91.7%) patients. Three (4.1%) patients had site-specific lymphadenectomy (two pelvic areas only and one pelvic plus para-aortic area), while adjunctive nodal dissection was omitted in the hemipelvis of the other three (4.1%) patients. Sentinel nodes were detected in the para-aortic area in eight (10.9%) patients. Twenty-four (32.8%) patients were diagnosed with nodal disease. A propensity-score matching was used to compare the aforementioned group of patients undergoing sentinel node mapping with a group of patients undergoing lymphadenectomy. Seventy patient pairs were selected (70 having sentinel node mapping vs. 70 having lymphadenectomy). Patients undergoing sentinel node mapping experienced similar 5-year disease-free survival (HR: 1.233; 95%CI: 0.6217 to 2.444; p = 0.547, log-rank test) and 5-year overall survival (HR: 1.505; 95%CI: 0.6752 to 3.355; p = 0.256, log-rank test) than patients undergoing lymphadenectomy. CONCLUSIONS: Sentinel node mapping does not negatively impact 5-year outcomes of high-intermediate and high-risk endometrial cancer. Further prospective studies are warranted.