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.

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.

Impact of substage and histologic type in stage I ovarian carcinoma survival: a multicenter retrospective observational study.

OBJECTIVE: This international study aimed to investigate the impact of substage, histological type and other prognostic factors on long-term survival for stage I ovarian carcinoma. METHODS: Our study was a retrospective multicenter cohort study that included patients with the International Federation of Gynecology and Obstetrics (FIGO) stage I (IA-IC3) ovarian carcinoma treated at four European referral centers in Germany and Italy. Using Kaplan-Meier survival curves we compared overall and disease-free survival between the different stage I groups. RESULTS: A total of 1115 patients were included. Of these, 48.4% (n=540) were in stage IA, 6.6% (n=73) stage IB, and 45% (n=502) stage IC, of the latter substage IC1, 54% (n=271), substage IC2, 31.5% (n=158), and substage IC3, 14.5% (n=73). Five-year overall and disease-free survival rates for the entire cohort were 94% and 86%, respectively, with no difference between stage IA and IB. However, there was a significantly better overall and disease-free survival for stage IA as compared with stage IC (p=0.007 and p<0.001, respectively). Multivariate analysis revealed incomplete/fertility-sparing staging (HR 1.95; 95% CI 1.27 to 2.99, and HR 3.54; 95% CI 1.83 to 6.86, respectively), and stage IC (HR 2.47; 95% CI 1.63 to 3.75) as independent risk factors for inferior disease-free survival, while low-grade endometrioid (HR 0.42; 95% CI 0.25 to 0.72) and low-grade mucinous (HR 0.17; 95% CI 0.06 to 0.44) histology had superior disease-free survival. Considering overall survival, stage IC (HR 2.41; 95% CI 1.45 to 4.01) and older age (HR 2.41; 95% CI 1.46 to 3.95) were independent risk factors. CONCLUSION: Although stage I ovarian carcinoma exhibited excellent outcomes, the prognosis of patients with stage IA differs significantly compared with stage IC. Sub-optimal staging as an indicator for quality of care, and tumor biology defined by histology (low-grade endometrioid/mucinous) independently impact disease-free survival.

COVID-19 free oncologic surgical hub: The experience of reallocation of a gynecologic oncology unit during pandemic outbreak.

INTRODUCTION: During the SARS-CoV-2 pandemic, the majority of healthcare resources of the affected Italian regions were allocated to COVID-19 patients. Due to lack of resources and high risk of death, most cancer patients have been shifted to non-surgical treatments. The following reports our experience of a Gynaecologic Oncology Unit's reallocation of resources in a COVID-19 free surgical oncologic hub in order to guarantee standard quality of surgical activities. MATERIALS AND METHODS: This is a prospective observational study performed in the Gynaecologic Oncology Unit, on the outcomes of the reallocation of surgical activities outside the University Hospital of Bologna, Italy, during the Italian lockdown period. Here, we described our COVID-19 free surgical oncologic pathway, in terms of lifestyle restrictions, COVID-19 screening measures, and patient clinical, surgical and follow up outcomes. RESULTS: During the lockdown period (March 9th - May 4th, 2020), 83 patients were scheduled for oncological surgery, 51 patients underwent surgery. Compared to pre-COVID period, we performed the same activities: number of cases scheduled for surgery, type of surgery and surgical and oncological results. No cases of COVID-19 infection were recorded in operated patients and in medical staff. Patients were compliant and well accepted the lifestyle restrictions and reorganization of the care. CONCLUSIONSONCLUSIONS: Our experience showed that the prioritization of oncological surgical care and the allocation of resources during a pandemic in COVID-19 free surgical hubs is an appropriate choice to guarantee oncological protocols.

Palliative treatment with electrochemotherapy in recurrent or metastatic vaginal cancer.

OBJECTIVE: Vaginal metastases are very rare events with a poor prognosis. To improve the quality of life, local treatments should be considered. The aim of this study was to evaluate the role of electrochemotherapy as palliative treatment in vaginal cancer not amenable to standard treatments due to poor performance status, previous treatments, or advanced disease. METHODS: This is a prospective observational study on patients diagnosed with vaginal cancer and treated from January 2017 to December 2018 with palliative electrochemotherapy. We collected data on patients with vaginal cancer treated by electrochemotherapy with the aim of local control. Data regarding electrochemotherapy, hospital stay, adverse events, and patient outcomes were analyzed. Intravenous bleomycin was injected as a bolus in 2-3 min at a dose of 15 000 UI/m2 and electrical pulses started 8 min after chemotherapy. Electrochemotherapy response was defined according to the Response Evaluation Criteria in Solid Tumors. RESULTS: Five patients with vaginal recurrence (two squamous, two melanomas, and one leiomyosarcoma) and one with vaginal metastasis from intestinal adenocarcinoma received one treatment and two patients were re-treated. Imaging reported nodal metastasis (inguinal or pelvic) in two patients, distant metastases in two, and both node and distant metastasis in two patients, respectively. Response Evaluation Criteria in Solid Tumors showed a complete response in one patient, partial response in three patients, stable disease in one patient, and progressive disease in one patient, with an overall response rate of 67% and a clinical benefit rate (complete response, partial response, stable disease) of 83%. Two patients were re-treated and had a new response (partial response and stable disease, respectively). At last follow-up, two patients had died of the disease, two were alive with stable disease, one was alive with progressive disease, and one was alive without disease. Median post-electrochemotherapy overall survival was 12.9 months (range 1.6-26.9) and 1-year overall survival was 66.7%. CONCLUSIONS: This preliminary experience showed a tumor response or stabilization in 83% of patients requiring palliative management for vaginal cancer. Further studies are needed to evaluate treatment outcome in larger and prospective series.

Working Principle and Performance of a Scalable Gravimetric System for the Monitoring of Access to Public Places.

Here, we propose a novel application of a low-cost robust gravimetric system for public place access monitoring purposes. The proposed solution is intended to be exploited in a multi-sensor scenario, where heterogeneous information, coming from different sources (e.g., metal detectors and surveillance cameras), are collected in a central data fusion unit to obtain a more detailed and accurate evaluation of notable events. Specifically, the word "notable" refers essentially to two event categories: the first category is represented by irregular events, corresponding typically to multiple people passing together through a security gate; the second category includes some event subsets, whose notification can be interesting for assistance provision (in the case of people with disabilities), or for statistical analysis. The employed gravimetric sensor, compared to other devices existing in the literature, exhibits a simple scalable robust structure, made up of an array of rigid steel plates, each laid on four load cells. We developed a tailored hardware and software to individually acquire the load cell signals, and to post-process the data to formulate a classification of the notable events. The results are encouraging, showing a remarkable detectability of irregularities (95.3% of all the test cases) and a satisfactory identification of the other event types.

A New Pressure Guided Management Tool for Epidural Space Detection: Feasibility Assessment on a Simulator.

The detection of epidural space is usually performed by the technique of loss of resistance (LOR) without technological support, although there are few commercial options. We sought to design and develop a new noninvasive system able to detect the LOR without any changes to the conventional procedure. It allows detecting the LOR by a custom made algorithm. The system provides a visual and acoustic feedback when the LOR is detected. We optimized the detection algorithm and investigated the performance of the system during experiments on a custom simulator. During the experiments performed by 10 anesthetists and 10 trainees, the pressure exerted on the syringe plunger was monitored using the custom-made system. Each participant performed four experiments using the system on the simulator. The performance of the system in LOR detection was evaluated comparing the feedback activation and the breaches of the last layer of the simulator. Moreover, each participant filled out a questionnaire to assess how the procedure with the simulator mimics the clinical scenario. A higher questionnaire score corresponds to a more realistic condition (0 = not real, 5 = extremely real). Results showed that the LOR was detected in 74 of the 80 trials (92.5% of the cases); the anesthetists obtained better results than trainees: 97.5 versus 87.5%. The questionnaires showed that all the participants found the trial realistic (score ≥3); anesthetists found it more realistic than trainees (4.2 ± 0.78 vs. 3.8 ± 0.78, mean ± SD). In summary, the proposed system successfully detected the LOR in the large part of the trials. The participants found the trials realistic. A higher success rate was observed in the anesthetists group.

Palliative electro-chemotherapy in elderly patients with vulvar cancer: A phase II trial.

OBJECTIVE: The primary endpoint of this trial was to assess clinical response (cCR) of squamocellular vulvar cancer (V-SCC) in elderly patients treated with electro-chemotherapy (ECT). Secondary endpoints were symptoms relief and local tumor control. METHODS: A phase II study was designed and elderly patients with V-SCC unfit for other treatments were treated. Response Evaluation Criteria in Solid Tumors (RECIST criteria) were applied to evaluate tumor response. Quality of life (QoL) was evaluated by visual analogue score (VAS) for pain and four items of vulvar cancer subscale (VCS), of functional assessment of vulvar cancer therapy (FACT-V) [16], before, one month after the procedure and during follow-up. RESULTS: Median age was 85 years (range 66-96 years). One month after treatment complete response was observed in 13 patients (52%), partial response in 7 (28%), stable disease in 3 (12%), and progressive disease in 2 (8%). Local tumor control at 1 and 6 months was 91% and 53%, respectively. Symptom free survival at 1 and 6 months was 78% and 40%, respectively, with significant reduction of pain (P < 0.01). One-year overall survival was 34%. CONCLUSIONS: Our study showed that ECT produces high response rate with significant reduction of pain and improvement of local symptoms.

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.

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.

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.

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.

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.

Emerging Role of MicroRNAs in the Therapeutic Response in Cervical Cancer: A Systematic Review.

Cervical cancer is a common female cancer, with nearly 600,000 cases and more than 300,000 deaths worldwide every year. From a clinical point of view, surgery plays a key role in early cancer management, whereas advanced stages are treated with chemotherapy and/or radiation as adjuvant therapies. Nevertheless, predicting the degree of cancer response to chemotherapy or radiation therapy at diagnosis in order to personalize the clinical approach represents the biggest challenge in locally advanced cancers. The feasibility of such predictive models has been repeatedly assessed using histopathological factors, imaging and nuclear methods, tissue and fluid scans, however with poor results. In this context, the identification of novel potential biomarkers remains an unmet clinical need, and microRNAs (miRNAs) represent an interesting opportunity. With this in mind, the aim of this systematic review was to map the current literature on tumor and circulating miRNAs identified as significantly associated with the therapeutic response in cervical cancer; finally, a perspective point of view sheds light on the challenges ahead in this tumor. Systematic Review Registration: PROSPERO (CRD42021277980).

Quality of Life with Vulvar Carcinoma Treated with Palliative Electrochemotherapy: The ELECHTRA (ELEctroCHemoTherapy vulvaR cAncer) Study.

The ELECHTRA (ELEctroChemoTherapy vulvaR cAncer) project was conceived to collect data on palliative electrochemotherapy (ECT) in vulvar cancer (VC) assessing patients' outcomes (response and survival) and impact on quality of life (QoL). After reporting outcome data in 2019, here, we present the results on QoL. A multicenter prospective observational study was conducted on patients with VC refractory or not amenable to standard therapies undergoing palliative ECT as per clinical practice. The following questionnaires were administered before and after ECT (two and four months later, early and late follow-up): visual analog pain scale (VAS), EuroQol 5-Dimension 5-Level (EQ-5D-L5) and Functional Assessment of Cancer Therapy-Vulva cancer (FACT-V). Analyses were conducted on both the whole study population and by subgroups (clinical response after ECT and site, number and size of lesions). Questionnaires from 55 patients were evaluated. Compared to the baseline (6.1 ± 2.1), the VAS was significantly reduced at early (4.3 ± 2.5) and late follow-up (4.6 ± 2.8) (p < 0.0001). The FACT-V score improved significantly at early (9.6 ± 4.0) (p < 0.0001) and late follow-up (8.9 ± 4.1) (p < 0.0054) as compared to the baseline (7.1 ± 3.6). No EQ-5D-5L statistically significant changes were observed. Subgroup analyses showed worse QoL in patients with stable or progressive disease, posterior site and multiple or larger than 3 cm nodules. This is the first study reporting improved QoL in VC patients after palliative ECT. Based on these results, ECT in VC should be considered an effective option based on the favorable outcomes both in terms of response and QoL.

Electrochemotherapy in Vulvar Cancer and Cisplatin Combined with Electroporation. Systematic Review and In Vitro Studies.

Electrochemotherapy (ECT) is an emerging treatment for solid tumors and an attractive research field due to its clinical results. This therapy represents an alternative local treatment to the standard ones and is based on the tumor-directed delivery of non-ablative electrical pulses to maximize the action of specific cytotoxic drugs such as cisplatin (CSP) and bleomycin (BLM) and to promote cancer cell death. Nowadays, ECT is mainly recommended as palliative treatment. However, it can be applied to a wide range of superficial cancers, having an impact in preventing or delaying tumor progression and therefore in improving quality of life. In addition, during the natural history of the tumor, early ECT may improve patient outcomes. Our group has extensive clinical and research experience on ECT in vulvar tumors in the palliative setting, with 70% overall response rate. So far, in most studies, ECT was based on BLM. However, the potential of CSP in this setting seems interesting due to some theoretical advantages. The purpose of this report is to: (i) compare the efficacy of CSP and BLM-based ECT through a systematic literature review; (ii) report the results of our studies on CSP-resistant squamous cell tumors cell lines and the possibility to overcome chemoresistance using ECT; (iii) discuss the future ECT role in gynecological tumors and in particular in vulvar carcinoma.

Classification Systems of Endometrial Cancer: A Comparative Study about Old and New.

Endometrial cancer is the most common gynecological malignancy of the female reproductive organs. Historically it was divided into type I and type II, until 2013 when the Cancer Genome Atlas molecular classification was proposed. Here, we applied the different classification types on our endometrial cancer patient cohort in order to identify the most predictive one. We enrolled 117 endometrial cancer patients available for the study and collected the following parameters: age, body mass index, stage, menopause, Lynch syndrome status, parity, hypertension, type of localization of the lesion at hysteroscopy, type of surgery and complications, and presence of metachronous or synchronous tumors. The tumors were classified according to the European Society for Medical Oncology, Proactive Molecular Risk Classifier for Endometrial Cancer, Post-Operative Radiation Therapy in Endometrial Carcinoma, and Cancer Genome Atlas classification schemes. Our data confirmed that European Society for Medical Oncology risk was the strongest predictor of prognosis in our cohort. The parameters correlated with poor prognosis were the histotype, FIGO stage, and grade. Our study cohort shows that risk stratification should be based on the integration of histologic, clinical, and molecular parameters.

Identification of miR-499a-5p as a Potential Novel Biomarker for Risk Stratification in Endometrial Cancer.

INTRODUCTION: The Cancer Genome Atlas (TCGA) project identified four distinct prognostic groups in endometrial cancer (EC), among which two are correlated with an intermediate prognosis: the MisMatch Repair-deficient (MMRd) and the No Specific Molecular Profile (NSMP) groups. The two groups represent a heterogeneous subset of patients frequently harboring CTNNB1 alterations with distinctive clinicopathologic features. The study aimed to evaluate the miRNA expression in ECs to identify potential biomarkers of prognosis. METHODS: We analyzed miRNA expression in 72 ECs classified as MMRd or NSMP including 15 ECs with CTNNB1 mutations. In the discovery step, miRNA expression was evaluated in 30 cases through TaqMan miRNA arrays. Subsequently, four miRNAs were validated in the total cohort of ECs. The data were further tested in the TCGA cohort, and correlations with overall survival (OS) and progression-free interval (PFI) were evaluated. RESULTS: miR-499a-3p and miR-499a-5p resulted to be overexpressed in CTNNB1 mutant EC patients at intermediate risk. Similarly, in the TCGA cohort, miR-499a-3p and miR-499a-5p were differentially expressed between CTNNB1 mutant and wild-type patients (p < 0.0001). NSMP patients with low miR-499a-5p expression showed longer OS (p = 0.03, log-rank test). By combining miR-499a-3p or -5p expression levels with the CTNNB1 status, ECs with CTNNB1 mutation and lower miR-499a-5p expression showed better OS compared with the other subgroups (p = 0.03, log-rank test), among the NSMP patients. Moreover, in a multivariate analysis, combination of wild type CTNNB1 status and high miR-499a-5p expression was indipendently associated with high risk of death [HR (95%CI): 3.53 (1.1-10.5), p = 0.02]. CONCLUSION: Our results suggest that the combination of CTNNB1 status and miR-499a-5p allows a better stratification of NSMP patients and could promote a personalization of the treatment in intermediate-risk patients.

Predictive Role of MRI and 18F FDG PET Response to Concurrent Chemoradiation in T2b Cervical Cancer on Clinical Outcome: A Retrospective Single Center Study.

Tumor response in locally advanced cervical cancer (LACC) is generally evaluated with MRI and PET, but this strategy is not supported by the literature. Therefore, we compared the diagnostic performance of these two techniques in the response evaluation to concurrent chemoradiotherapy (CCRT) in LACC. Patients with cervical cancer (CC) stage T2b treated with CCRT and submitted to MRI and PET/CT before and after treatment were enrolled in the study. All clinical, pathological, therapeutic, radiologic and follow-up data were collected and examined. The radiological response was analyzed and compared to the follow-up data. Data of 40 patients with LACC were analyzed. Agreement between MRI and PET/CT in the evaluation response to therapy was observed in 31/40 (77.5%) of cases. The agreement between MRI, PET/CT and follow-up data showed a Cohen kappa coefficient of 0.59 (95% CI = 0.267-0.913) and of 0.84 (95% CI = 0.636-1.00), respectively. Considering the evaluation of primary tumor response, PET/CT was correct in 97.5% of cases, and MRI in 92.5% of cases; no false negative cases were observed. These results suggest the use of PET/CT as a unique diagnostic imaging tool after CCRT, to correctly assess residual and progression disease.

Results of a Phase I-II Study on Laser Therapy for Vaginal Side Effects after Radiotherapy for Cancer of Uterine Cervix or Endometrium.

Women who have previously received radiotherapy (RT) for gynecologic cancer often suffer from vaginal fibrosis and stenosis. The success of "non-ablative" laser therapy for postmenopausal vaginal atrophy has led to the idea of testing the laser in patients submitted to RT. In this prospective observational study, we selected patients who underwent pelvic RT followed by vaginal laser treatment. We scheduled three treatment sessions (at T0-T1-T2) and three controls (at T1-T2-T3) one month apart. The follow-up (at T4) was carried out six months after the last treatment. Vaginal Health Index (VHI) and vaginal length were evaluated. Sexual function was assessed through Female Sexual Function Index (FSFI). Overall, 43 patients with severe vaginal shortening, atrophy and stenosis was enrolled and treated with intravaginal non-ablative CO2 laser. We observed a progressive increase in vaginal length of 9% (p = 0.03) at T2 and 28% (p < 0.0001) at T3; effects were maintained at T4 (p < 0.0001). After the first application VHI showed a significant improvement of 57% at T3 (p < 0.0001). The results were maintained at T4 (p < 0.0001). No changes were found in FSFI. All procedures were well tolerated. In conclusion, laser therapy improved vaginal length and VHI in women undergoing pelvic RT; prospective studies are needed.