Future of sentinel node biopsy in ovarian cancer.

PURPOSE OF REVIEW: The rationale on the use of sentinel lymph node (SLN) biopsy in the surgical staging of apparent early-stage ovarian cancer (OC) is supported by the fact that diagnostic and prognostic role of systematic staging lymphadenectomy has been determined but its therapeutic significance is still matter of controversy. Moreover, SLN biopsy represents an option to decrease intra- and postoperative morbidity. The present review aims to provide an overview on the current and future role of SLN in OC. RECENT FINDINGS: Most recent evidence shows that the overall mean per patient SLN detection rate in case of indocyanine green (ICG) alone was 58.6% compared with 95% in case of ICG + technetium, and with 52.9% in case of technetium alone or in combination with blue dye ( P  < 0.001). Site of injection has been reported to be in both ovarian ligaments in majority of studies (utero-ovarian ligament and infundibulo-pelvic ligament), before or after ovarian mass removal, at time of primary or re-staging surgery and by minimally invasive or open approach. Cervical injection has been recently proposed to replace utero-ovarian injection. SLN detection rate in patients with confirmed ovarian malignancy varied across different studies ranging between 9.1% and 91.3% for the injection in the utero-ovarian ligament and migration to pelvic lymph nodes and between 27.3% and 100% for the injection in the infundibulo-pelvic ligament and migration to para-aortic lymph nodes. No intra- or postoperative complication could be attributed directly to SLN biopsy. The sensitivity and the accuracy of SLN in detecting lymphatic metastasis ranged between 73.3-100% and 96-100%, respectively. In up to 40% of positive SLNs, largest metastatic deposit was classified as micro-metastasis or isolated tumor cells, which would have been missed without ultrastaging protocol. SUMMARY: SLN biopsy represents a promising tool to assess lymph node status in apparent early-stage OC. The type and volume of injected tracer need to be considered as appear to affect SLN detection rate. Ultrastaging protocol is essential to detect low volume metastasis. Sensitivity and accuracy of SLN biopsy are encouraging, providing tracer injection in both uterine and ovarian ligaments.

Distribution and prognostic role of BRCA status in elderly ovarian cancer patients.

OBJECTIVE: In the era of target therapy and personalized medicine, BRCA mutational status has a major influence on survival in ovarian cancer patients. Our aim is to verify if the poorer prognosis of elderly ovarian cancer patients can be related to the biology of the tumor beyond their own morbidities and/or suboptimal treatments. METHODS: This is a retrospective single-institution study evaluating prognosis of patients with a diagnosis of ovarian cancer and known BRCA status. We collected clinical and surgical characteristics and the distribution of BRCA mutational status according to age groups. RESULTS: 1840 patients were included in the analysis. The rate of BRCA mutated decreased over age-range from 49.7% in patients aged <50 years to 18.8% in ≥80 years old women. The prognostic role of BRCA status on survival is maintained when focusing on the elderly population, with improved Disease Free Survival (27.2 months vs 16.5 months for BRCA mutated and wild type respectively, p = 0.001) and Cancer Specific Survival (117.6 months vs 43.1 months for BRCA mutated and wild type respectively, p = 0.001) for BRCAmut compared to BRCAwt patients. In the multivariable analysis, among elderly women, upfront surgery and BRCA mutation are independent factors affecting survival. CONCLUSIONS: Elderly patients experiment a poorer prognosis due to multiple factors that include both their medical condition and comorbidities, under-treatment and most importantly disease characteristics. We found that beyond disparities, BRCA mutation is still the strongest independent prognostic factor affecting both the risk of recurrence and death due to disease.

Key issues in diagnostic accuracy of sentinel lymph node biopsy in early-stage ovarian cancer: systematic review and meta-analysis.

OBJECTIVE: Sentinel lymph node (SLN) mapping may reduce the morbidity of lymphadenectomy while maintaining diagnostic accuracy. Nevertheless, SLN mapping in epithelial ovarian cancer is still under investigation. This systematic review and meta-analysis aimed to assess the detection rate and diagnostic accuracy of SLN mapping for each field (pelvic and para-aortic), and to evaluate the tracers and doses used. METHODS: A systematic search was conducted in PubMed, Cochrane Library, Scopus, and Web of Science. Patients with clinical stages I-II ovarian cancer undergoing SLN biopsy (index test) and a systematic pelvic and para-aortic lymphadenectomy (reference standard) were included. Risk of bias was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 (QUADAS-2) tool. A meta-analysis was performed to assess SLN mapping detection rates and diagnostic accuracy for each field (pelvic and para-aortic) and by subgroups (type of tracer and dosage). RESULTS: 239 patients from four studies were included. The SLN detection rate was 59.5% (95% CI 50.2 to 68.1%) and 64.4% (95% CI 58.2 to 70.2%) for the pelvic and para-aortic fields, respectively. The use of technetium-99 (99mTc), alone or in combination, compared with the use of indocyanine green alone, was associated with a higher detection rate in both the pelvic (66.6%; 95% CI 53.3 to 78.3%; p=0.1211) and para-aortic (87.1%; 95% CI 76.9 to 93.9%, p=0.0000013) fields. The use of 0.2-0.5 mL of indocyanine green was associated with higher pelvic (68%; 95% CI 53.3 to 80.4%, p=0.1057) and para-aortic (88.3%, 95% CI 77.4 to 95.2%, p=0.0000018) detection rates compared with a 2 mL indocyanine green injection. Diagnostic accuracy, sensitivity, specificity, and negative predictive value of SLN for lymph node metastasis were: 100% each for the pelvic field and 98.1%, 85.7%, 100%, and 97.8%, respectively, for the para-aortic field. CONCLUSION: The use of 99mTc in combination with a low volume injection (0.2-0.5 mL) of indocyanine green increased SLN detection rates. In apparent early stage epithelial ovarian cancer, SLN is a feasible technique with a high diagnostic accuracy. TRIAL REGISTRATION: PROSPERO CRD42024544812.

Circulating tumor DNA as a biomarker for predicting progression-free survival and overall survival in patients with epithelial ovarian cancer: a systematic review and meta-analysis.

OBJECTIVES: Circulating tumor DNA (ctDNA) is emerging as a potential prognostic biomarker in multiple tumor types. However, despite the many studies available on small series of patients with ovarian cancer, a recent systematic review and meta-analysis is lacking. The objective of this study was to determine the association of ctDNA with progression-free-survival and overall survival in patients with epithelial ovarian cancer. METHODS: An electronic search was conducted using PubMed (MEDLINE), Embase, CENTRAL (Cochrane Library), and CINAHL-Complete from January 2000 to September 15, 2023. To be included in the analysis the studies had to meet the following pre-specified inclusion criteria: (1) evaluable ctDNA; (2) progression-free-survival and overall survival reported as hazard ratio (HR); and (3) the patient population had epithelial ovarian cancer at the time of ctDNA detection. We evaluated the association of ctDNA with progression-free survival and overall survival. Secondary outcomes focused on sub-group analysis of genomic alterations and international Federation of Gynecology and Obstetrics (FIGO) stage. RESULTS: A total of 26 studies reporting on 1696 patients with epithelial ovarian cancer were included. The overall concordance rate between plasma-based and tissue-based analyses was approximately 62%. We found that a high level of ctDNA in epithelial ovarian cancer was associated with worse progression-free survival (HR 5.31, 95% CI 2.14 to 13.17, p<0.001) and overall survival (HR 2.98, 95% CI 1.86 to 4.76, p<0.0001). The sub-group analysis showed a greater than threefold increase in the risk of relapse in patients with positive HOXA9 meth-ctDNA (HR 3.84, 95% CI 1.57 to 9.41, p=0.003). CONCLUSIONS: ctDNA was significantly associated with worse progression-free survival and overall survival in patients with epithelial ovarian cancer. Further prospective studies are needed. PROSPERO REGISTRATION NUMBER: CRD42023469390.

Epithelial ovarian cancer and brain metastases: might the BRCA status, PARP inhibitor administration, and surgical treatment impact the survival?

OBJECTIVE: To evaluate disease characteristics and survival according to BRCA status, administration of poly-(ADP-ribose) polymerase inhibitors (PARPi), and surgery in patients with ovarian cancer and brain metastases. METHODS: This is a monocentric retrospective cohort of patients with ovarian cancer and brain metastases treated between 2000 and 2021. Data were collected by a retrospective review of medical records and analyzed according to: (1) BRCA mutation; (2) PARPi before and after brain metastases; (3) surgery for brain metastases. RESULTS: Eighty-five patients with ovarian cancer and brain metastasis and known BRCA status (31 BRCA mutated (BRCAm), 54 BRCA wild-type (BRCAwt)) were analyzed. Twenty-two patients had received PARPi before brain metastases diagnosis (11 BRCAm, 11 BRCAwt) and 12 after (8 BRCAm, 4 BRCAwt). Brain metastases occurred >1 year later in patients who had received previous PARPi. Survival was longer in the BRCAm group (median post-brain metastasis survival: BRCAm 23 months vs BRCAwt 8 months, p=0.0015). No differences were found based on BRCA status analyzing the population who did not receive PARPi after brain metastasis (median post-brain metastasis survival: BRCAm 8 months vs BRCAwt 8 months, p=0.31). In the BRCAm group, survival was worse in patients who had received previous PARPi (median post-brain metastasis survival: PARPi before, 7 months vs no-PARPi before, 24 months, p=0.003). If PARPi was administered after brain metastases, survival of the overall population improved (median post-brain metastasis survival: PARPi after, 46 months vs no-PARPi after, 8 months, p=0.00038).In cases of surgery for brain metastases, the prognosis seemed better (median post-brain metastasis survival: surgery 13 months vs no-surgery 8 months, p=0.036). Three variables were significantly associated with prolonged survival at multivariate analysis: BRCA mutation, multimodal treatment, and ≤1 previous chemotherapy line. CONCLUSIONS: BRCA mutations might impact brain metastasis occurrence and lead to better outcomes. In a multimodal treatment, surgery seems to affect survival even in cases of extracranial disease. PARPi use should be considered as it seems to prolong survival if administered after brain metastasis.

Lung cancer multi-omics digital human avatars for integrating precision medicine into clinical practice: the LANTERN study.

BACKGROUND: The current management of lung cancer patients has reached a high level of complexity. Indeed, besides the traditional clinical variables (e.g., age, sex, TNM stage), new omics data have recently been introduced in clinical practice, thereby making more complex the decision-making process. With the advent of Artificial intelligence (AI) techniques, various omics datasets may be used to create more accurate predictive models paving the way for a better care in lung cancer patients. METHODS: The LANTERN study is a multi-center observational clinical trial involving a multidisciplinary consortium of five institutions from different European countries. The aim of this trial is to develop accurate several predictive models for lung cancer patients, through the creation of Digital Human Avatars (DHA), defined as digital representations of patients using various omics-based variables and integrating well-established clinical factors with genomic data, quantitative imaging data etc. A total of 600 lung cancer patients will be prospectively enrolled by the recruiting centers and multi-omics data will be collected. Data will then be modelled and parameterized in an experimental context of cutting-edge big data analysis. All data variables will be recorded according to a shared common ontology based on variable-specific domains in order to enhance their direct actionability. An exploratory analysis will then initiate the biomarker identification process. The second phase of the project will focus on creating multiple multivariate models trained though advanced machine learning (ML) and AI techniques for the specific areas of interest. Finally, the developed models will be validated in order to test their robustness, transferability and generalizability, leading to the development of the DHA. All the potential clinical and scientific stakeholders will be involved in the DHA development process. The main goals aim of LANTERN project are: i) To develop predictive models for lung cancer diagnosis and histological characterization; (ii) to set up personalized predictive models for individual-specific treatments; iii) to enable feedback data loops for preventive healthcare strategies and quality of life management. DISCUSSION: The LANTERN project will develop a predictive platform based on integration of multi-omics data. This will enhance the generation of important and valuable information assets, in order to identify new biomarkers that can be used for early detection, improved tumor diagnosis and personalization of treatment protocols. ETHICS COMMITTEE APPROVAL NUMBER: 5420 - 0002485/23 from Fondazione Policlinico Universitario Agostino Gemelli IRCCS - Università Cattolica del Sacro Cuore Ethics Committee. TRIAL REGISTRATION: clinicaltrial.gov - NCT05802771.

Unexpected finding of a rare pathogenic germline BRCA1 variant in an intrahepatic cholangiocarcinoma using the Oncomine Focus DNA assay: clinical and diagnostic implications.

BACKGROUND: Cholangiocarcinoma (CCA) is a malignant tumor arising from the epithelial cells of the bile ducts and is the second most common liver cancer after hepatocellular carcinoma. Recently, our Institution launched a Comprehensive Genomic Profiling (CGP) program (named FPG500 program), set up to provide a complete molecular characterization through the TruSight Oncology 500 High Throughput (TSO500HT) solution and samples that do not reach pre-set sample quantity and/or quality thresholds required for TSO500HT, are addressed to Oncomine Focus DNA Assay (OFA) and the Archer's FusionPlex Lung Panel (AFL). METHODS AND RESULTS: Here we report the case of a patient with iCCA enrolled in the FPG500 program and screened by the orthogonal workflow (OFA/AFL). Although BRCA1 is not among the genes declared in the OFA panel, we unexpectedly detected a pathogenic variant in this gene (c.5278-2del, rs878853285). CONCLUSIONS: This case highlights the diagnostic capabilities of CGP, now widely used in both clinical practice and academic setting. The incidental involvement of BRCA1 focuses attention on the role of BRCA genes in biliary tract cancers. Finally, as an orthogonal test confirmed the germline origin of BRCA1 c.5278-2del variant, the germline implications of CGP need to be considered.

Further refining 2020 ESGO/ESTRO/ESP molecular risk classes in patients with early-stage endometrial cancer: A propensity score-matched analysis.

BACKGROUND: The integration of molecular features with clinicopathological findings in endometrial cancer classification seems to be able to significantly refine risk assessment. Nevertheless, clinical management remains challenging, and different therapeutic options are available for each class. Further prognostic characterization of the subgroups within each risk class could be helpful in the decision-making process. METHODS: This study evaluated the role of the 2020 European Society of Gynaecological Oncology (ESGO)/European Society for Radiotherapy and Oncology (ESTRO)/European Society of Pathology (ESP) risk assessment system and the three prognostic profiles adopted in the PORTEC-4a trial in predicting disease-free and overall survival in a retrospective study cohort of patients with early-stage endometrial cancer. Patients were selected according to a 1:2 propensity score matching analysis. Moreover, the sequencing of 29 genes was undertaken for tumor samples. RESULTS: The study included 137 patients. No differences in disease-free or overall survival at 5 years were observed among the 2020 ESGO/ESTRO/ESP risk classes without molecular features (p = .766 and p = .176, respectively). Once molecular features were integrated, the probability of overall survival was significantly different (p = .011). When the three prognostic profiles were applied, the probability of recurrence had a p value of .097, and significant differences were observed in overall survival (p = .004). Among patients experiencing recurrence, 17.6% showed mutations in BRCA1/2, RAD50, BRIP1, and XRCC2, whereas 22.5% had PD-L1-positive expression and an MUTYH mutation. CONCLUSIONS: Further stratification within each risk class according to the most relevant prognostic features could better define the prognosis of patients with early-stage endometrial cancer. Nearly half of the patients who experienced recurrence showed a targetable molecular alteration for which dedicated trials should be encouraged.

The immunohistochemical molecular risk classification in endometrial cancer: A pragmatic and high-reproducibility method.

INTRODUCTION: The aim of this study is to assess the clinical reproducibility and the potential oncological validity of the molecular information provided by the immunohistochemistry (IHC) to properly stratify the endometrial cancer patients. METHODS: Retrospective IHC analyses were conducted in a large series of 778 pre-operative uterine-confined ECs, studying the presence/absence of MLH1, MSH2, MSH6 and PMS2 to define the mismatch repair (MMR) stable or instable phenotype; the presence of p53 mutations and other molecular features. The molecular profile was correlated with histological, clinical and prognostic data. RESULTS: Based on IHC assessment, we defined 3 EC populations: stable MMR patients (MMRs), instable patients (MMRi) and p53 mutated patients (p53+). Our result demonstrated that the IHC stratification statistically correlated with the most relevant pathologic-clinical features: FIGO stage (p < 0.001), grading (p < 0.001), histotype (p < 0.001), presence of LVSI (p < 0.001), myometrial invasion and tumor dimension (p = 0.003 for both). These 3 IHC populations statistically reflected the EC risk class ESGO-ESMO-ESP classification 2021 (p < 0.001). These results were also confirmed in the Kaplan-Meier curves in terms of overall survival (OS) and disease-free survival (DFS) (p < 0.0001). The multivariate analyses demonstrated that absence of estrogen receptor (ER) impacted the OS (p = 0.011) and, the Age > 60 years and the ER-status the DFS (p = 0.041 and p = 0.004). CONCLUSION: In this large series, we demonstrated that the pragmatic and systematic use of IHC may have an important role to properly stratify, in terms of histological features and clinical outcomes, the EC patients.

Management of stage III and IVa uterine cancer.

The prognosis of patients with advanced endometrial cancer is poor with limited therapeutic options. Nevertheless, the integration of molecular features in the clinico-pathological classification of endometrial cancer has significantly refined prognostic risk groups, representing a major breakthrough not only in the management of the disease but also in treatment perspectives. New therapeutic compounds such as target therapies, immunotherapy, and hormonal therapies have emerged for this clinical setting. Furthermore, molecular-driven clinical trials may improve significantly the efficacy of new treatments selecting those patients who are highly likely to respond. This review aims at describing the state of the art of advanced stage III-IVa endometrial cancer management, providing also the most interesting clinical perspectives.

Deep-Learning to Predict BRCA Mutation and Survival from Digital H&E Slides of Epithelial Ovarian Cancer.

BRCA 1/2 genes mutation status can already determine the therapeutic algorithm of high grade serous ovarian cancer patients. Nevertheless, its assessment is not sufficient to identify all patients with genomic instability, since BRCA 1/2 mutations are only the most well-known mechanisms of homologous recombination deficiency (HR-d) pathway, and patients displaying HR-d behave similarly to BRCA mutated patients. HRd assessment can be challenging and is progressively overcoming BRCA testing not only for prognostic information but more importantly for drugs prescriptions. However, HR testing is not already integrated in clinical practice, it is quite expensive and it is not refundable in many countries. Selecting patients who are more likely to benefit from this assessment (BRCA 1/2 WT patients) at an early stage of the diagnostic process, would allow an optimization of genomic profiling resources. In this study, we sought to explore whether somatic BRCA1/2 genes status can be predicted using computational pathology from standard hematoxylin and eosin histology. In detail, we adopted a publicly available, deep-learning-based weakly supervised method that uses attention-based learning to automatically identify sub regions of high diagnostic value to accurately classify the whole slide (CLAM). The same model was also tested for progression free survival (PFS) prediction. The model was tested on a cohort of 664 (training set: n = 464, testing set: n = 132) ovarian cancer patients, of whom 233 (35.1%) had a somatic BRCA 1/2 mutation. An area under the curve of 0.7 and 0.55 was achieved in the training and testing set respectively. The model was then further refined by manually identifying areas of interest in half of the cases. 198 images were used for training (126/72) and 87 images for validation (55/32). The model reached a zero classification error on the training set, but the performance was 0.59 in terms of validation ROC AUC, with a 0.57 validation accuracy. Finally, when applied to predict PFS, the model achieved an AUC of 0.71, with a negative predictive value of 0.69, and a positive predictive value of 0.75. Based on these analyses, we have planned further steps of development such as proving a reference classification performance, exploring the hyperparameters space for training optimization, eventually tweaking the learning algorithms and the neural networks architecture for better suiting this specific task. These actions may allow the model to improve performances for all the considered outcomes.

Emerging role of immune checkpoint inhibitors in the treatment of ovarian cancer.

INTRODUCTION: In recent years, ovarian cancer (OC) treatment has been enriched with many new target therapies, most of all antiangiogenic drugs and PARP inhibitors (PARPis), which have literally changed the natural history of the disease. The impressive results of immunotherapy in other malignancies, mainly melanoma and lung cancer, and the good signals of activity in gynecological neoplasms like cervical and microsatellite instable (MSI-H) endometrial cancer, opened the space to the introduction of immune-stimulatory drugs in ovarian cancer. AREA COVERED: The goal of this article is to summarize the newest evidence on the use of immune check point inhibitors in OC trying to explain why, at present, this strategy has failed to improve clinical outcome and focusing on the possible strategies to overcome treatment failure. EXPERT OPINION: Although numerous trials have been undertaken, only scanty results have been obtained so far with immune check-point inhibitors (ICIs) in OC either when used as single agents or in combination with antiangiogenic therapy and ongoing trials are exploring the association of ICIs with PARPis and other ICIs. A better knowledge of predictive biomarkers of response and mechanisms of immunotherapy resistance, will help in identifying the most appropriate population to treat with ICIs.

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

BACKGROUND: Systematic paraaortic and bilateral pelvic lymphadenectomy is the standard of a comprehensive surgical staging in presumed early epithelial ovarian cancer, but no prospective randomized evidence suggests a possible therapeutic value. Moreover, this procedure is associated with potential severe morbidity. The Sentinel Lymph Nodes in Early-Stage Ovarian Cancer trial is a prospective study designed to test whether sentinel node detection can accurately predict nodal status in a cohort of women with early epithelial ovarian cancer. OBJECTIVES: We here present the results of the first part of the Sentinel Lymph Nodes in Early-Stage Ovarian Cancer trial, regarding the feasibility of the sentinel lymph node technique and the preliminary findings regarding its safety and accuracy. STUDY DESIGN: The Sentinel Lymph Nodes in Early-Stage Ovarian Cancer trial is a prospective, phase II, single-arm study included patients with presumed stages I-II epithelial ovarian cancer planned for immediate or delayed minimally invasive comprehensive staging. The ovarian pedicle is injected with 2 mL of a 1.25 mg/mL indocyanine green solution. The pelvic and lumboaortic retroperitoneum is then accessed and inspected to identify and remove sentinel nodes. After sentinel node procedure, staging is completed including systematic pelvic and paraaortic lymphadenectomy. Assuming a sensitivity of 98.5% in predicting positive sentinel lymph nodes at histology, a pathological lymph node prevalence of 14.2%, a precision of estimate (ie, the maximum marginal error) d = 5%, a type I error α = 0.05, a sample size of 160 patients is needed to test the general hypothesis. Here we present the preliminary results on the first 31 patients enrolled. RESULTS: Thirty-one patients were included. Sentinel node was identified in 21 patients (detection rate, 67.7%). The detection rate was significantly higher in women undergoing immediate vs delayed staging (88.9% vs 41.7%, P = .003). Four patients had positive nodes. In all the patients with lymphatic dissemination, a positive sentinel node was identified (sensitivity, 100%; false-negative rate, 0%; negative predictive value, 100%). One (3.2%) intra- and 2 (6.5%) postoperative grade I complications occurred. CONCLUSION: Our data show that the detection of sentinel node in early epithelial ovarian cancer is low when patients are submitted to delayed-staging surgery. However, sentinel node procedure is feasible and has the potential to provide reliable and useful information on nodal status and may allow the avoidance of systematic lymphadenectomy in the majority of patients.

Pathologic response to neoadjuvant chemotherapy in advanced ovarian cancer: utility of a scoring system to predict outcomes.

BACKGROUND: Growing evidence supports the role of neoadjuvant chemotherapy in patients with advanced epithelial ovarian cancer. Currently, there is no shared histopathologic scoring system to assess pathologic response in the specimens obtained at interval surgery after neoadjuvant chemotherapy This review aims to summarize the literature on pathologic response, focusing on proposed scoring systems. METHODS: The systematic review was conducted according to the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines, focusing on the definition of pathologic response, its prognostic value, possible predictors, and future implications. Eighteen manuscripts focusing on pathologic response in epithelial ovarian cancer were selected for analysis. RESULTS: Overall, eight histopathologic scoring systems to evaluate pathologic response have been proposed. There are currently no available markers (serum, radiological, genomic) to select which patients could achieve the highest benefit from neoadjuvant chemotherapy experiencing a complete pathologic response. A three-tier scoring system (CRS) based on omental assessment and which classifies the response to neoadjuvant chemotherapy has been validated in external cohorts of epithelial ovarian cancer. This scoring system demonstrated adequate interobserver reproducibility. Data is limited on the pathologic complete response rate changes according to chemotherapy regimen. CONCLUSIONS: A histopathologic scoring system endowed with prognostic value could be helpful in personalizing the treatment decision in patients with epithelial ovarian cancer.

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

BACKGROUND: Systematic para-aortic and bilateral pelvic lymphadenectomy is included in the standard comprehensive surgical staging in presumed early epithelial ovarian cancer. No prospective randomized evidence suggests it has potential therapeutic value, and related morbidity is not negligible. PRIMARY OBJECTIVES: To assess sensitivity, safety, and feasibility of the sentinel lymph node technique in identifying the presence of lymph node metastases in patients with early stage epithelial ovarian cancer. STUDY HYPOTHESIS: Sentinel lymph node detection with indocyanine green can accurately predict nodal status in a cohort of women with early stage epithelial ovarian cancer. TRIAL DESIGN: The SELLY trial is a prospective phase II interventional multicenter study. MAJOR INCLUSION/EXCLUSION CRITERIA: Inclusion criteria: Eastern Cooperative Oncology Group 0-1, apparent International Federation of Gynecology and Obstetrics (FIGO) stage I-II, histologically proven epithelial ovarian cancer. EXCLUSION CRITERIA: evidence of carcinomatosis, mucinous only at definitive histology. ENDPOINTS: Primary endpoint is sensitivity (true positive rate). Secondary endpoints include safety (complications rate of the procedure) and feasibility. SAMPLE SIZE: Assuming a sensitivity of 98.5% in predicting positive sentinel lymph nodes at histology, a pathological lymph node prevalence of 14.2%, a precision of estimate (ie, the maximum marginal error) d=5%, and a type I error α=0.05, a sample size of 160 patients is needed to test the general hypothesis (ie, to answer whether sentinel lymph nodes identified with indocyanine green can accurately predict nodal status at histology of patients with apparently early epithelial ovarian cancer). Assuming a drop-out rate of 10%, a total of 176 patients will be enrolled in the study. ESTIMATED DATES FOR COMPLETING ACCRUAL AND PRESENTING RESULTS: The accrual should be completed by December 2020 and results should be presented by March 2021. TRIAL REGISTRATION: The trial is registered at clinicaltrials.gov (NCT03563781).

Systematic Review of Cytoreductive Surgery and Bevacizumab-Containing Chemotherapy in Advanced Ovarian Cancer: Focus on Safety.

BACKGROUND: Initial experiences reported increased surgical morbidities in patients receiving cytoreductive surgery for colorectal cancer after bevacizumab-containing chemotherapy; however, more recent literature suggests a favorable toxicity profile in patients with advanced ovarian cancer (AOC). With the aim of providing a more objective point of view on this controversial issue, we present here a systematic literature review. METHODS: Systematic revision of the available literature was conducted using the PubMed, MEDLINE, and EMBASE electronic databases. All studies reporting safety data regarding cytoreductive surgery performed before or after bevacizumab-containing chemotherapy have been analyzed for the purposes of this study. The study has been prepared according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. RESULTS: Forty-eight studies were retrieved from the electronic databases, with 23 (47.9%) being excluded due to an unsatisfactory study design. Among the remaining 25 manuscripts, 16 did not report data regarding surgical morbidities after cytoreductive surgery, therefore only 9 studies were included in the final analysis. Overall, 198 AOC patients received bevacizumab-containing neoadjuvant chemotherapy (NACT) followed by interval debulking surgery (IDS) in the context of five studies, among whom 21 women experienced grade 3/4 postoperative complications (10.6%), which appears to be in line with data reported in patients receiving IDS after carboplatin-paclitaxel NACT. Results from phase I-II clinical trials, and dataset analysis from GOG-0218, did not observe an increased incidence of complications in AOC patients receiving bevacizumab-containing adjuvant chemotherapy after cytoreductive surgery. CONCLUSIONS: The incorporation of bevacizumab into first-line chemotherapy was not associated with increased morbidities before and after cytoreductive surgery in women with AOC.

Assessment of preoperative nutritional status using BIA-derived phase angle (PhA) in patients with advanced ovarian cancer: Correlation with the extent of cytoreduction and complications.

OBJECTIVE: To investigate whether patients' altered body composition (measured with bioimpedentiometry), due to a poor nutritional status, predicts the incidence of no residual disease at primary debulking and the risk of complications in patients with newly-diagnosed advanced epithelial ovarian cancer (EOC). METHODS: Data regarding patients with newly-diagnosed stage IIIC-IV EOC undergoing elective nutritional assessment between December 2016 and March 2017, were prospectively collected. Bioelectrical impedance analysis (BIA) with measurement of BIA-derived phase angle [PhA] at 50KHz, was accomplished. Only patients with disease which was considered resectable at staging laparoscopy were submitted to open primary cytoreduction. The rate of residual tumor (RT)=0 and the incidence of complications were assessed. RESULTS: Seventy patients were included. Fifty-two of them were submitted to primary cytoreduction (74.3%) and 48 (68.6% of the entire cohort, 92.3% of those who underwent primary debulking) had RT=0 at the end of surgery. Median values of PhA were significantly lower in patients with RT>vs. =0 (4.7, range: 3.6-5.8 vs. 5.3, range: 4.2-6.8; p=0.001). Twenty-four (out of the 52 operated) patients (46.2%) developed at least one complication. PhA was significantly lower in patients with vs. without complications (5, range: 3.6-6.4, vs. 5.4, range 4.5-6.8; p=0.03). After multivariable analysis, Fagotti score and PhA were the only independent predictors of residual disease (OR:13.56; 95%CI:1.33-137.6; p=0.027 and 9.24; 1.16-73.43; p=0.036, respectively) and of any complication (OR:4.9;95%CI:1.17-20.6; p=0.03 and 7.27; 1.45-36.4; p=0.01, respectively). CONCLUSIONS: Derangement of body composition (likely due to disease-related malnutrition) expressed as a low phase angle, is an independent predictor of residual disease and peri-operative complications at the time of upfront cytoreduction for advanced EOC.