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.

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.

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.

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.

Definitive chemoradiation in vulvar squamous cell carcinoma: outcome and toxicity from an observational multicenter Italian study on vulvar cancer (OLDLADY 1.1).

BACKGROUND: Vulvar carcinoma is a rather uncommon gynecological malignancy affecting elderly women and the treatment of loco-regional advanced carcinoma of the vulva (LAVC) is a challenge for both gynecologic and radiation oncologists. Definitive chemoradiation (CRT) is the treatment of choice, but with disappointing results. In this multicenter study (OLDLADY-1.1), several institutions have combined their retrospective data on LAVC patients to produce a real-world dataset aimed at collecting data on efficacy and safety of CRT. METHODS: The primary study end-point was 2-year-local control (LC), secondary end-points were 2-year-metastasis free-survival (MFS), 2-year-overall survival (OS) and the rate and severity of acute and late toxicities. Participating centers were required to fill data sets including age, stage, histology, grading as well as technical/dosimetric details of CRT. Data about response, local and regional recurrence, acute and late toxicities, follow-up and outcome measures were also collected. The toxicity was a posteriori documented through the Common Terminology Criteria for Adverse Events version 5 scale. RESULTS: Retrospective analysis was performed on 65 patients with primary or recurrent LAVC treated at five different radiation oncology institutions covering 11-year time interval (February 2010-November 2021). Median age at diagnosis was 72 years (range 32-89). With a median follow-up of 19 months (range 1-114 months), 2-year actuarial LC, MFS and OS rate were 43.2%, 84.9% and 59.7%, respectively. In 29 patients (44%), CRT was temporarily stopped (median 5 days, range 1-53 days) due to toxicity. The treatment interruption was statistically significant at univariate analysis of factors predicting LC (p: 0.05) and OS rate (p: 0.011), and it was confirmed at the multivariate analysis for LC rate (p: 0.032). In terms of toxicity profile, no G4 event was recorded. Most adverse events were reported as grade 1 or 2. Only 14 acute G3 toxicities, all cutaneous, and 7 late G3 events (3 genitourinary, 3 cutaneous, and 1 vaginal stenosis) were recorded. CONCLUSION: In the context of CRT for LAVC, the present study reports encouraging results even if there is clearly room for further improvements, in terms of both treatment outcomes, toxicity and treatment interruption management.

Sentinel-node biopsy in apparent early stage ovarian cancer: final results of a prospective multicentre study (SELLY).

AIM: To evaluate the sensitivity and specificity of sentinel-lymph-node mapping compared with the gold standard of systematic lymphadenectomy in detecting lymph node metastasis in apparent early stage ovarian cancer. METHODS: Multicenter, prospective, phase II trial, conducted in seven centers from March 2018 to July 2022. Patients with presumed stage I-II epithelial ovarian cancer planned for surgical staging were eligible. Patients received injection of indocyanine green in the infundibulo-pelvic and, when feasible, utero-ovarian ligaments and sentinel lymph node biopsy followed by pelvic and para-aortic lymphadenectomy was performed. Histopathological examination of all nodes was performed including ultra-staging protocol for the sentinel lymph node. RESULTS: 174 patients were enrolled and 169 (97.1 %) received study interventions. 99 (58.6 %) patients had successful mapping of at least one sentinel lymph node and 15 (15.1 %) of them had positive nodes. Of these, 11 of 15 (73.3 %) had a correct identification of the disease in the sentinel lymph node; 7 of 11 (63.6 %) required ultra-staging protocol to detect nodal metastasis. Four (26.7 %) patients with node-positive disease had a negative sentinel-lymph-node (sensitivity 73.3 % and specificity 100.0 %). CONCLUSIONS: In a multicenter setting, identifying sentinel-lymph nodes in apparent early stage epithelial ovarian cancer did not reach the expected sensitivity: 1 of 4 patients might have metastatic lymphatic disease unrecognized by sentinel-lymph-node biopsy. Nevertheless, 35.0 % of node positive patients was identified only thanks to ultra-staging protocol on sentinel-lymph-nodes.

Can the Modified Frailty Index (mFI) Predict Intraoperative and Postoperative Complications in Older Women with Endometrial Cancer Undergoing Laparoscopic or Robotic Surgery? A Multicenter Observational Study.

BACKGROUND: This study aims to evaluate the strength of the association between frailty and intraoperative/postoperative complications in patients undergoing minimally invasive surgery (MIS) for endometrial cancer. METHODS: In this retrospective observational multicenter cohort study, frailty was defined beforehand by a modified frailty index (mFI) score of ≥3. Multiple logistic regressions were performed to investigate possible preoperative predictors-including frailty, age, and body mass index-of intraoperative and early (within 30 days from surgery) or delayed (beyond 30 days from surgery) postoperative complications. RESULTS: The study involved 577 women, of whom 6.9% (n = 40) were frail with an mFI ≥ 3, while 93.1% (n = 537) were non-frail with an mFI of 0-2. Frail women had a significantly higher rate of intraoperative complications (7.5% vs. 1.7%, p = 0.01), with odds 4.54 times greater (95% CI: 1.18-17.60, p = 0.028). There were no differences in the rate of early postoperative complications (15% vs. 6.9%, p = 0.06) and delayed postoperative complications (2.5% vs. 3.9%, p = 0.65) for frail versus non-frail patients. The odds of early postoperative complications increased by 0.7% (95% CI: 1.00-1.15) for every one-unit increase in age (p = 0.032). CONCLUSIONS: Frailty was associated with a significantly higher risk of intraoperative complications in older women undergoing MIS for endometrial cancer. Likewise, increasing age was an independent predictor of early postoperative complications. Our findings support the practice of assessing frailty before surgery to optimize perioperative management in this patient population.

Pressurized intraperitoneal aerosol chemotherapy (PIPAC) with cisplatin and doxorubicin in patients with ovarian cancer: A systematic review.

BACKGROUND: PIPAC consists in delivering normothermic chemotherapy solution directly into the peritoneal cavity as an aerosol under pressure. Currently PIPAC is considered as a palliative treatment for patients suffering from non-resectable peritoneal carcinomatosis. We performed a SR to assess tolerance and response of this novel method among patient with OC. METHODS: We searched electronic database PubMed, Embase, Web of Science, Clinical Trials.gov. We only included clinical studies reporting PIPAC with cisplatin and doxorubicin in patients with ovarian cancer. RESULTS: This systematic review included 4 studies. In 3 studies all patients were pretreated with cytoreductive surgery, in 1 study surgery was performed in 8/34 (23 %) patients. Mean PCI at first PIPAC procedure ranged from 16.3 to 19.6. All studies reported the proportion of patients with ascites at the first PIPAC with a pooled rate of 48,3 %. Pooled rate of CTCAE Grade 3 toxicity calculated on the total number of PIPAC was 6 % and Grade 4 was 0.9 %. One study reported two cases of small bowel perforation related or potentially related to PIPAC. On study reported a cumulative survival after 400 days of 62 % and a mean actuarial survival time of all patients who underwent PIPAC of 442 days. In another study the mean time to progression was 144 days (95 % CI 122-168 days). CONCLUSION: This systematic review demonstrated that PIPAC with cisplatin and doxorubicin appear to have a good safety profile with low toxicity and encouraging trend in terms of overall survival.

Decoding the Complexity of Systemic Inflammation Predictors in Locally Advanced Cervical Cancer, with Hemoglobin as the Hidden Key (the ESTHER Study).

Locally advanced cervical cancer (LACC) is treated with concurrent chemoradiation (CRT). Predictive models could improve the outcome through treatment personalization. Several factors influence prognosis in LACC, but the role of systemic inflammation indices (IIs) is unclear. This study aims to assess the correlation between IIs and prognosis in a large patient cohort considering several clinical data. We retrospectively analyzed pretreatment IIs (NLR, PLR, MLR, SII, LLR, COP-NLR, APRI, ALRI, SIRI, and ANRI) in 173 LACC patients. Patient, tumor, and treatment characteristics were also considered. Univariate and multivariate Cox's regressions were conducted to assess associations between IIs and clinical factors with local control (LC), distant metastasis-free survival (DMFS), disease-free survival (DFS), and overall survival (OS). Univariate analysis showed significant correlations between age, HB levels, tumor stage, FIGO stage, and CRT dose with survival outcomes. Specific pretreatment IIs (NLR, PLR, APRI, ANRI, and COP-NLR) demonstrated associations only with LC. The multivariate analysis confirmed Hb levels, CRT dose, and age as significant predictors of OS, while no II was correlated with any clinical outcome. The study findings contradict some prior research on IIs in LACC, emphasizing the need for comprehensive assessments of potential confounding variables.

Lymph node staging in grade 1-2 endometrioid ovarian carcinoma apparently confined to the ovary: Is it worth?

OBJECTIVE: The aim of this study was to assess the disease-free survival (DFS) and overall survival (OS) of patients with grade 1-2 endometrioid ovarian carcinoma apparently confined to the ovary, according to surgical staging. METHODS: Multicenter, retrospective, observational cohort study. Patients with endometrioid ovarian carcinoma, surgical procedure performed between May 1985 and December 2019, stage pT1 N0/N1/Nx, grade 1-2 were included. Patients were stratified according to lymphadenectomy (defined as removal of any lymph node versus no lymph node assessment), and subgroup analyses according to tumor grade were performed. Kaplan-Meier curves and cox regression analyses were used to perform survival analyses. RESULTS: 298 patients were included. 199 (66.8 %) patients underwent lymph node assessment. Of these, 166 (83.4 %) had unilateral/bilateral pelvic and para-aortic/caval lymphadenectomy. Eleven (5.5 %) patients of those who underwent lymph node assessment showed pathologic metastatic lymph nodes (FIGO stage IIIA1). Twenty-seven patients (9.1 %) had synchronous endometrioid endometrial cancer. After a median follow up of 45 months (95 %CI:37.5-52.5), 5-year DFS and OS of the entire cohort were 89.8 % and 96.2 %, respectively. Age ≤ 51 years (HR=0.24, 95 %CI:0.06-0.91; p = 0.036) and performance of lymphadenectomy (HR=0.25, 95 %CI: 0.07-0.82; p = 0.022) represented independent protective factors toward risk of death. Patients undergoing lymphadenectomy had better 5-year DFS and OS compared to those not receiving lymphadenectomy, 92.0 % versus 85.6 % (p = 0.016) and 97.7 % versus 92.8 % (p = 0.013), respectively. This result was confirmed after exclusion of node-positive patients. When stratifying according to tumor grade (node-positive excluded), patients with grade 2 who underwent lymphadenectomy had better 5-year DFS and OS than those without lymphadenectomy (93.0 % versus 83.1 %, p = 0.040 % and 96.5 % versus 90.6 %, p = 0.037, respectively). CONCLUSION: Staging lymphadenectomy in grade 2 endometrioid ovarian carcinoma patients was associated with improved DFS and OS. Grade 1 and grade 2 might be considered as two different entities, which could benefit from different approach in terms of surgical staging. Prospective studies, including molecular profiles are needed to confirm the survival drivers in this rare setting.

A Radiomic-Based Machine Learning Model Predicts Endometrial Cancer Recurrence Using Preoperative CT Radiomic Features: A Pilot Study.

BACKGROUND: Current prognostic models lack the use of pre-operative CT images to predict recurrence in endometrial cancer (EC) patients. Our study aimed to investigate the potential of radiomic features extracted from pre-surgical CT scans to accurately predict disease-free survival (DFS) among EC patients. METHODS: Contrast-Enhanced CT (CE-CT) scans from 81 EC cases were used to extract the radiomic features from semi-automatically contoured volumes of interest. We employed a 10-fold cross-validation approach with a 6:4 training to test set and utilized data augmentation and balancing techniques. Univariate analysis was applied for feature reduction leading to the development of three distinct machine learning (ML) models for the prediction of DFS: LASSO-Cox, CoxBoost and Random Forest (RFsrc). RESULTS: In the training set, the ML models demonstrated AUCs ranging from 0.92 to 0.93, sensitivities from 0.96 to 1.00 and specificities from 0.77 to 0.89. In the test set, AUCs ranged from 0.86 to 0.90, sensitivities from 0.89 to 1.00 and specificities from 0.73 to 0.90. Patients classified as having a high recurrence risk prediction by ML models exhibited significantly worse DSF (p-value < 0.001) across all models. CONCLUSIONS: Our findings demonstrate the potential of radiomics in predicting EC recurrence. While further validation studies are needed, our results underscore the promising role of radiomics in forecasting EC outcomes.

Optimal number of neoadjuvant chemotherapy cycles prior to interval debulking surgery in advanced epithelial ovarian cancer: a systematic review and meta-analysis of progression-free survival and overall survival.

OBJECTIVE: Neoadjuvant chemotherapy (NACT) represents a treatment option in patients with advanced epithelial ovarian cancer (AEOC) who are not good candidates for primary debulking surgery. Usually, 3 cycles of chemotherapy before surgery have been considered the best option for patient survival, although quite often some patients receive more than 3 cycles. The aim of this systematic review and meta-analysis was to identify the optimal number of NACT cycles reporting better survival in AEOC patients. METHODS: PubMed, Cochrane Library, and Scopus were searched for original articles that analyzed the relationship between the number of chemotherapy cycles and clinical outcomes in AEOC patients before interval debulking surgery (IDS). The main outcomes were progression-free survival (PFS) and overall survival (OS). RESULTS: A total of 22 studies comprising 7,005 patients diagnosed with AEOC were included in our analysis. In terms of survival, the reviewed studies dividing the patients in ≤3 NACT cycles vs. >3, showed a trend for a decrease in PFS and a significant reduction in OS with an increasing number of cycles, while a difference in both PFS and OS was revealed if early IDS included patients with 4 NACT cycles. These results should be interpreted with caution due to the complex characteristics of AEOC patients. CONCLUSION: In conclusion, our review and meta-analysis revealed that there is not enough evidence to determine the optimal number of NACT treatments before surgery. Further research in the form of well-designed randomized controlled trials is necessary to address this issue. TRIAL REGISTRATION: PROSPERO Identifier: CRD42022334959.

Classical Prognostic Factors Predict Prognosis Better than Inflammatory Indices in Locally Advanced Cervical Cancer: Results of a Comprehensive Observational Study including Tumor-, Patient-, and Treatment-Related Data (ESTHER Study).

Systemic inflammation indices were found to be correlated with therapeutic outcome in several cancers. This study retrospectively analyzes the predictive role of a broad range of systemic inflammatory markers in patients with locally advanced cervical cancer (LACC) including patient-, tumor-, and treatment-related potential prognostic factors. All patients underwent definitive chemoradiation and pretreatment values of several inflammatory indices (neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio, monocyte/lymphocyte ratio, systemic immune inflammation index (SII), leukocyte/lymphocyte ratio, combination of platelet count and NLR, aspartate aminotransferase/platelet ratio index, aspartate aminotransferase/lymphocyte ratio index, systemic inflammatory response index, and aspartate transaminase/neutrophil ratio index) were calculated. Their correlation with local control (LC), distant metastasis-free (DMFS), disease-free (DFS), and overall survival (OS) was analyzed. One hundred and seventy-three patients were included. At multivariable analysis significant correlations were recorded among clinical outcomes and older age, advanced FIGO stage, lower hemoglobin levels, larger tumor size, and higher body mass index values. The multivariate analysis showed only the significant correlation between higher SII values and lower DMFS rates (p < 0.01). Our analysis showed no significant correlation between indices and DSF or OS. Further studies are needed to clarify the role of inflammation indices as candidates for inclusion in predictive models in this clinical setting.

Post-operative residual disease and number of cycles of neoadjuvant chemotherapy in advanced epithelial ovarian carcinoma.

BACKGROUND: The optimal number of neoadjuvant chemotherapy cycles in patients with advanced ovarian cancer is still disputed. OBJECTIVE: To evaluate the impact of the number of neoadjuvant chemotherapy cycles and role of optimal cytoreduction on the prognosis of patients with advanced ovarian cancer. METHODS: Clinical and pathological details were examined. Patients were evaluated combining the number of cycles of neoadjuvant chemotherapy-namely, 'interval debulking surgery' after up to four neoadjuvant chemotherapy cycles, and 'delayed debulking surgery' after more than four cycles of therapy. RESULTS: A total of 286 patients were included in the study. Complete cytoreduction with no residual peritoneal disease (CC0) was achieved in 74 (74%) patients with interval debulking surgery and 124 (66.7%) patients with delayed interval debulking. Of those with residual disease, there were 26/88 (29.5%) patients in the interval debulking surgery group and 62/88 (70.5%) patients in the delayed debulking surgery group. Comparison of patients with delayed debulking-CC0 and interval debulking-CC0 showed no difference in progression-free survival (p=0.3) or overall survival (p=0.4), while significantly worse outcomes were observed in patients with interval debulking-CC1 (p=0.02 and p=0.04, respectively). Specifically, patients with interval debulking-CC1 had an approximately 67% increased risk of disease progression (p=0.04; HR=2.01 (95% CI 1.04 to 4.18)) and a 69% higher risk of death than patients with delayed debulking-CC0 (p=0.03; HR=2.34 (95% CI 1.11 to 4.67)). CONCLUSION: Increasing the number of neoadjuvant chemotherapy cycles does not worsen patient outcomes if complete resection is achieved. Nevertheless, additional prospective trials are necessary to establish the optimum number of neoadjuvant chemotherapy cycles.

Office intrauterine morcellation for retained products of conception.

OBJECTIVE: Proposing hysteroscopic morcellation (HM) as a surgical-therapeutic approach in the treatment of retained products of conception (RPOC) to prevent intrauterine adhesions (IUAs). DESIGN: Prospective analysis. SETTING: A teaching and university hospital. PATIENTS: Women with RPOC. INTERVENTIONS: Office -HM with 'Truclear 5 C'. MATERIAL AND METHODS: Twenty-two consecutive patients presenting with trophoblastic residue retention after miscarriage and interruption of pregnancy or placenta remnants after cesarean section or delivery were enrolled. These women underwent office-HM with 'Truclear 5 C'. Primary outcomes were median time and rate of hospitalization. The quality of the specimen was also analyzed. A hysteroscopic second look for IUAs was performed. RESULTS: Mean procedure time was six minutes (SD ± 5). Tissue samples had a mean collection size 2.5 cm3+0.9. 38% of the samples had spotting or abnormal vaginal discharge. Dilatation of the cervical canal was not performed in any case. Second-look hysteroscopy did not show any de novo IUAs in any of the enrolled patients. CONCLUSIONS: In the hysteroscopic treatment of RPOC, HM is a valid choice in an office setting without the use of cervical dilatation. Removal of RPOC was uneventful in all cases, simple and carried out faster without any adverse outcomes.

Prognostic Impact of Pathologic Features in Molecular Subgroups of Endometrial Carcinoma.

The molecular characterization of endometrial carcinoma (EC) has recently been included in the ESGO/ESTRO/ESP guidelines. The study aims to evaluate the impact of integrated molecular and pathologic risk stratification in the clinical practice and the relevance of pathologic parameters in predicting prognosis in each EC molecular subgroup. ECs were classified using immunohistochemistry and next-generation sequencing into the four molecular classes: POLE mutant (POLE), mismatch repair deficient (MMRd), p53 mutant (p53abn), and no specific molecular profile (NSMP). According to the WHO algorithm, 219 ECs were subdivided into the following molecular subgroups: 7.8% POLE, 31% MMRd, 21% p53abn, 40.2% NSMP. Molecular classes as well as ESGO/ESTRO/ESP 2020 risk groups were statistically correlated with disease-free survival. Considering the impact of histopathologic features in each molecular class, stage was found to be the strongest prognostic factor in MMRd ECs, whereas in the p53abn subgroup, only lymph node status was associated with recurrent disease. Interestingly, in the NSMP tumor, several histopathologic features were correlated with recurrence: histotype, grade, stage, tumor necrosis, and substantial lymphovascular space invasion. Considering early-stage NSMP ECs, substantial lymphovascular space invasion was the only independent prognostic factor. Our study supports the prognostic importance of EC molecular classification and demonstrated the essential role of histopathologic assessment in patients' management.

Factors predicting BRCA1/2 pathogenic variants in patients with ovarian cancer: a systematic review with meta-analysis.

AIM: To provide accurate figures of the frequency of specific clinical features in ovarian cancer (OC) associated with germline BRCA1/2 pathogenic variants and to define their relevance in predicting the presence of a germline pathogenic variant in these genes. METHODS: A systematic review of papers published from 1995 to February 2022 was performed according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. Data from eligible papers were synthesised through meta-analysis. RESULTS: Thirty-seven papers were reviewed, including a total of 12 886 patients with OC. Among BRCA carriers, 86.4% displayed serous type, 83.3% high grade (G3), 83.7% FIGO (The International Federation of Gynecology and Obstetrics) stage III/IV, 39.7% age at diagnosis ≤50 years and 18.1% personal breast cancer history, while the frequency of these features in non-carriers resulted significantly lower (p<0.001). The meta-analysis showed that the strongest predictor of BRCA1/2 pathogenic variants was a personal breast cancer history (OR 5.21, 95% CI 4.02 to 6.55, compared with no previous breast cancer), followed by high grade (OR 2.47, 95% CI 1.97 to 3.10, compared with low/intermediate grade), serous histotype (OR 2.33, 95% CI 2.07 to 2.64, compared with other histotypes), advanced (III/IV) FIGO stage (OR 1.89, 95% CI 1.67 to 2.15, compared with stage I/II) and age at diagnosis ≤50 years (OR 1.20, 95% CI 1.01 to 1.42, compared with >50 years). CONCLUSION: The results of this meta-analysis provide data on features increasing the prior probability of finding BRCA1/2 pathogenic variants that may prove helpful in counselling patients and prioritising testing. PROSPERO REGISTRATION NUMBER: CRD42021271815.

Integrated clinicopathologic and molecular analysis of endometrial carcinoma: Prognostic impact of the new ESGO-ESTRO-ESP endometrial cancer risk classification and proposal of histopathologic algorithm for its implementation in clinical practice.

Introduction: The European Society of Gynecologic Oncology/European Society of Radiation Therapy and Oncology/European Society of Pathology (ESGO/ESTRO/ESP) committee recently proposed a new risk stratification system for endometrial carcinoma (EC) patients that incorporates clinicopathologic and molecular features. The aim of the study is to compare the new ESGO/ESTRO/ESP risk classification system with the previous 2016 recommendations, evaluating the impact of molecular classification and defining a new algorithm for selecting cases for molecular analysis to assign the appropriate risk class. Methods: The cohort included 211 consecutive EC patients. Immunohistochemistry and next-generation sequencing were used to assign molecular subgroups of EC: POLE mutant (POLE), mismatch repair deficient (MMRd), p53 mutant (p53abn), and no specific molecular profile (NSMP). Results: Immuno-molecular analysis was successful in all cases, identifying the four molecular subgroups: 7.6% POLE, 32.2% MMRd, 20.9% p53abn, and 39.3% NSMP. The recent 2020 guidelines showed a 32.7% risk group change compared with the previous 2016 classification system: the reassignment is due to POLE mutations, abnormal p53 expression, and a better definition of lymphovascular space invasion. The 2020 system assigns more patients to lower-risk groups (42.2%) than the 2016 recommendation (25.6%). Considering the 2020 risk classification system that includes the difference between "unknown molecular classification" and "known," the integration of molecular subgroups allowed 6.6% of patients to be recategorized into a different risk class. In addition, the use of the proposed algorithm based on histopathologic parameters would have resulted in a 62.6% reduction in molecular analysis, compared to applying molecular classification to all patients. Conclusion: Application of the new 2020 risk classification integrating clinicopathologic and molecular parameters provided more accurate identification of low-and high-risk patients, potentially allowing a more specific selection of patients for post-operative adjuvant therapy. The proposed histopathologic algorithm significantly decreases the number of tests needed and could be a promising tool for cost reduction without compromising prognostic stratification.