Advanced Stage Epithelial Ovarian Cancer Research Articles

Factors Predicting Surgical Effort Using Explainable Artificial Intelligence in Advanced Stage Epithelial Ovarian Cancer.

Simple SummaryIn the era of personalized medicine, Artificial Intelligence (AI) has emerged as a powerful tool with growing applications in the field of gynaecologic oncology. However, AI applications are encountered with several challenges derived from their “black-box” nature, which limits their adoption by clinicians. Surgical decision-making at cytoreductive surgery for epithelial ovarian cancer (EOC) is a complex matter, and an accurate prediction of surgical effort is required to ensure the good health and care of patients. We combined high-performance AI modeling with an eXplainable Artificial Intelligence (XAI) framework to explain feature effects and interactions associated with specific threshold surgical effort using data from a single public institution. We revealed features not routinely measured in the clinical practice, including human factors that could be responsible for the variation in the surgical effort. Selective decreased surgical effort may be associated with the surgeon’s age. The use of XAI frameworks can provide actionable information for surgeons to improve patient outcomes in gynaecologic oncology.(1) Background: Surgical cytoreduction for epithelial ovarian cancer (EOC) is a complex procedure. Encompassed within the performance skills to achieve surgical precision, intra-operative surgical decision-making remains a core feature. The use of eXplainable Artificial Intelligence (XAI) could potentially interpret the influence of human factors on the surgical effort for the cytoreductive outcome in question; (2) Methods: The retrospective cohort study evaluated 560 consecutive EOC patients who underwent cytoreductive surgery between January 2014 and December 2019 in a single public institution. The eXtreme Gradient Boosting (XGBoost) and Deep Neural Network (DNN) algorithms were employed to develop the predictive model, including patient- and operation-specific features, and novel features reflecting human factors in surgical heuristics. The precision, recall, F1 score, and area under curve (AUC) were compared between both training algorithms. The SHapley Additive exPlanations (SHAP) framework was used to provide global and local explainability for the predictive model; (3) Results: A surgical complexity score (SCS) cut-off value of five was calculated using a Receiver Operator Characteristic (ROC) curve, above which the probability of incomplete cytoreduction was more likely (area under the curve [AUC] = 0.644; 95% confidence interval [CI] = 0.598–0.69; sensitivity and specificity 34.1%, 86.5%, respectively; p = 0.000). The XGBoost outperformed the DNN assessment for the prediction of the above threshold surgical effort outcome (AUC = 0.77; 95% [CI] 0.69–0.85; p < 0.05 vs. AUC 0.739; 95% [CI] 0.655–0.823; p < 0.95). We identified “turning points” that demonstrated a clear preference towards above the given cut-off level of surgical effort; in consultant surgeons with <12 years of experience, age <53 years old, who, when attempting primary cytoreductive surgery, recorded the presence of ascites, an Intraoperative Mapping of Ovarian Cancer score >4, and a Peritoneal Carcinomatosis Index >7, in a surgical environment with the optimization of infrastructural support. (4) Conclusions: Using XAI, we explain how intra-operative decisions may consider human factors during EOC cytoreduction alongside factual knowledge, to maximize the magnitude of the selected trade-off in effort. XAI techniques are critical for a better understanding of Artificial Intelligence frameworks, and to enhance their incorporation in medical applications.

Homologous recombination repair deficiency (HRD) testing in newly diagnosed advanced-stage epithelial ovarian cancer: A Belgian expert opinion.

Ovarian cancer (OC) has a poor prognosis as most patients present with non-specific symptoms and the disease is mostly diagnosed at advanced stages. Approximately 90% of cases are classified as epithelial OC (EOC), a category comprising histologically and molecularly distinct tumours. Identifying reliable biomarkers and employing personalised therapies in OC subgroups is crucial for battling the disease. EOCs are often characterised by homologous recombination repair deficiency (HRD), frequently caused by inactivation of the breast cancer susceptibility (BRCA) genes. These findings have led to the development of poly- (adenosine diphosphate [ADP])- ribose polymerase inhibitors (PARPi), which are synthetically lethal to HRD tumour cells. Both patients with HRD and non-HRD tumours can benefit from PARPi therapy in the recurrent setting. Moreover, recent phase III trials in patients with newly diagnosed advanced-stage OC have demonstrated greater clinical benefit from PARPi in treating HRD than non-HRD tumours. These findings offer new opportunities for the use of PARPi as maintenance therapy after first-line chemotherapy based on the presence of HRD. In the current article, we provide recommendations for HRD testing and treatment of patients with newly diagnosed advanced-stage EOC.

Abstract CT010: A phase II study of durvalumab and tremelimumab with front-line neoadjuvant chemotherapy in patients with advanced-stage ovarian cancer (KGOG 3046/TRU-D)

Abstract KGOG 3046 is a single-arm phase 2 study evaluating the combination of dual immune checkpoint inhibition (durvalumab [D] and tremelimumab [T]) with neoadjuvant chemotherapy (NAC) for the upfront advanced-stage epithelial ovarian cancer (aEOC). This study enrolled patients with FIGO stage IIIC-IV EOC. Patients were assigned to one of the following neoadjuvant chemo-immunotherapy (NACI): original cohort arm1 (D 1,500 mg q3w + T 75 mg q3w + paclitaxel 175 mg/m2 + carboplatin AUC 5 [3 cycles]) or expansion cohort arm2 (D 1,500 mg q3w + T 300 mg [1 dose] + same chemotherapy as original). Arm2 was initiated after the completion of arm1. After NAC, all patients underwent interval debulking surgery (IDS). After IDS, three cycles of D (1,120 mg) and adjuvant chemotherapy followed by D maintenance (1,120 mg [total 12 cycles]) were administered. During treatment, serial biopsies were performed to explore immunologic changes in tumor microenvironment (TME). The primary endpoint was a 12-month PFS rate. Interim analysis was performed to evaluate outcomes after NAC after all patients underwent IDS. A total of 45 patients were enrolled as follows: arm1 (n=23) and arm2 (n=22). The majority of the patients presented with high-grade serous carcinoma (91.1%) and stage IV disease (77.8%). After NAC, the ORR was 86.7% by RECIST v1.1 (95.7% in arm1 and 81.8% in arm2, P=0.17). At IDS, 30 patients (66.7%) had R0 resection (73.9% in arm1 and 59.1% in arm2, P=0.353). Fourteen patients (31.1%) had a CRS 3 (39.1% in arm1 and 22.7% in arm2, P=0.337) and 5 (11.1%) had a pathologic remission. Skin rashes were the most common adverse events (51.1%) and grade ≥3 events occurred in 3 patients (15.6%), which completely resolved after steroid use. Stromal TIL (P=0.0335), CD8 (P&amp;lt;0.001), CD8/Foxp3 ratio (P&amp;lt;0.001) on immunohistochemistry were significantly increased after NACI. When TILs were analyzed in detail by flow cytometry, suppressive intratumoral regulatory T cells (Treg) were significantly decreased after NACI in both arm (P&amp;lt;0.05). Interestingly, the frequency of intratumoral Treg after NACI was lower in arm1 than arm2 (P&amp;lt;0.05). These interim data highlight the clinical activity and manageable toxicity profile for the addition of D and T to NAC in aEOC. Additional translational study data will be presented at the meeting. Summary of secondary outcomes D+T75+CT (n=23) D+T300+CT (n=22) P value ORR by RECIST 22 (95.7%) 18 (81.8%) 0.187 ORR by PERCIST 13/14a (92.9%) 16/18a (88.9%) 0.856 R0 at IDS 17 (73.9%) 13 (59.1%) 0.353 CRS3 at IDS 9 (39.1%) 5 (22.7%) 0.337 Pathologic CR 4 (17.4%) 1 (4.5%) 0.348 a, PERCIST was available in 14 (original) and 18 (expansion) cohorts. Citation Format: Junsik Park, Eunhyang Park, Je-Gun Joung, Myong Cheol Lim, Byoung-Gie Kim, Jae Weon Kim, Jung Bok Lee, Sunghoon Kim, Chel Hun Choi, Hee Seung Kim, Sang Yoon Park, Jongsuk Chung, Jung-Yun Lee. A phase II study of durvalumab and tremelimumab with front-line neoadjuvant chemotherapy in patients with advanced-stage ovarian cancer (KGOG 3046/TRU-D) [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr CT010.

Explainable Artificial Intelligence for Prediction of Complete Surgical Cytoreduction in Advanced-Stage Epithelial Ovarian Cancer.

Complete surgical cytoreduction (R0 resection) is the single most important prognosticator in epithelial ovarian cancer (EOC). Explainable Artificial Intelligence (XAI) could clarify the influence of static and real-time features in the R0 resection prediction. We aimed to develop an AI-based predictive model for the R0 resection outcome, apply a methodology to explain the prediction, and evaluate the interpretability by analysing feature interactions. The retrospective cohort finally assessed 571 consecutive advanced-stage EOC patients who underwent cytoreductive surgery. An eXtreme Gradient Boosting (XGBoost) algorithm was employed to develop the predictive model including mostly patient- and surgery-specific variables. The Shapley Additive explanations (SHAP) framework was used to provide global and local explainability for the predictive model. The XGBoost accurately predicted R0 resection (area under curve [AUC] = 0.866; 95% confidence interval [CI] = 0.8–0.93). We identified “turning points” that increased the probability of complete cytoreduction including Intraoperative Mapping of Ovarian Cancer Score and Peritoneal Carcinomatosis Index < 4 and <5, respectively, followed by Surgical Complexity Score > 4, patient’s age < 60 years, and largest tumour bulk < 5 cm in a surgical environment of optimized infrastructural support. We demonstrated high model accuracy for the R0 resection prediction in EOC patients and provided novel global and local feature explainability that can be used for quality control and internal audit.

Clinical implementation of routine diagnostic laparoscopy to guide initial treatment in patients with advanced-stage epithelial ovarian cancer in Dutch clinical practice: Evaluation of support and a budget impact analysis

ObjectiveIn patients with advanced-stage epithelial ovarian cancer (EOC), a diagnostic laparoscopy (DLS) to determine treatment regime prevents futile laparotomies and seems cost-neutral. The uptake of DLS in current practice is unknown. We evaluated the clinical application of routine DLS in treatment planning in patients with advanced-stage EOC in the Netherlands. MethodsThe implementation was evaluated over the period 2017–2019, using a health technology assessment including clinical, organizational, and economic factors. Barriers for implementation were identified and DLS use was assessed using semi-structured surveys with healthcare professionals. Data from the Dutch Gynecological Oncology Audit were used to determine (un)successful CRS rates. To assess the economic impact, we performed a budget impact analysis (BIA) of the combined interventions of DLS and primary CRS. ResultsThe DLS use to guide treatment planning increased from 16% to 20%. The majority of the centers did not support routine DLS implementation, mainly because of logistic barriers and its invasive nature. The primary CRS rate of all CRS decreased from 44% to 36%, in favor of interval CRS. The unsuccessful primary CRS rate decreased from 15% to 9% resulting in fewer patients needed a second interval CRS. Consequently, total health care costs decreased from €4.457.496 to €4.274.751. ConclusionsThe implementation of routine DLS for guiding treatment planning in patients with advanced-stage EOC has limited support in the Netherlands. Over the years, total health care costs decreased. For current practice, it is advised that a DLS is useful in case it is uncertain whether a successful primary CRS is feasible based on conventional work-up.

The importance of the Peritoneal Cancer Index (PCI) to predict surgical outcome after neoadjuvant chemotherapy in advanced ovarian cancer

PurposeAchieving complete cytoreduction (CCR) is crucial for a patient’s prognosis with advanced epithelial ovarian cancer (EOC). So far, prognostic predictors have failed to predict surgical outcome after neoadjuvant chemotherapy (NACT). In clinical trials, scores were used to predict operability in recurrent ovarian cancer (Harter et al. in N Engl J Med 385(23):2123–2131, 2021) but there is no known prediction score for CCR after NACT. The Peritoneal Cancer Index (PCI) is an established tool to predict surgical outcome in primary setting (Lampe et al. in 25:135–144, 2015). We now examined the predictive power of the PCI to achieve CCR after NACT.MethodsIn this single-center study, the data of patients with advanced stage EOC (FIGO > IIIb) treated between 01/2015 and 12/2020 were analyzed retrospectively. Inclusion criteria were a mandatory staging laparoscopy, a PCI score > 25, and NACT. CT scans were analyzed in blinded fashion according to RECIST criteria (Borgani et al. in 237; 93–99, 2019) Reaction of PCI after NACT was compared with the analysis of radiologic imaging and CA-125 levels.ResultsThree hundred and sixteen patients were screened, 62 were treated with NACT, and 23 were included in our analysis. 87% of cases presented with an FIGO IIIc stadium. The reduction of PCI itself after NACT showed to be the most powerful predictor for achieving CCR. The reduction of the initial PCI score by minimum of 8.5 points was a better predictor for CCR than reaching a PCI < 25. In contrast to data deriving from patients undergoing primary debulking surgery (PDS), we found a PCI of 17, rather than 25, to be a more valuable cut-off for CCR in neoadjuvant-treated patients.ConclusionThe extend of PCI reduction after NACT is a better predictor for achieving CCR compared with CA125 levels and radiologic imaging. The PCI must be assessed differently in neoadjuvant setting than in a primary situation. CCR was most likely for a post-NACT PCI < 17.

Modified Intraperitoneal Chemotherapy Without Bevacizumab as a First-Line Therapy for Newly Diagnosed Advanced Epithelial Ovarian Cancer-Two Centers Experiences.

ObjectivesTo evaluate whether the modified intraperitoneal plus intravenous chemotherapy regimen as a first-line therapy for advanced epithelial ovarian cancer (EOC) in China can be well-tolerated or confer any potential benefit on survival.MethodsWe evaluated the outcomes of women with newly diagnosed advanced-stage III-IV EOC treated with optimal cytoreductive surgery (<1 cm) and subsequent intraperitoneal plus intravenous chemotherapy or intravenous chemotherapy from January 2005 to December 2017 at two Gynecologic Oncology Centers in China. Kaplan-Meier survival analysis and Cox regression multivariate analysis models were performed to determine the toxicities and survival outcomes.ResultsA total of 463 patients with stage III-IV EOC were enrolled. According to the propensity scores (1:2), 85 patients who received intraperitoneal plus intravenous chemotherapy (group A) were matched to 170 patients who received intravenous chemotherapy (group B). The median follow-up time was 41 months (range 6–155 months). However, there was no statistically significant difference in the median progression-free survival (PFS) (20 vs. 22 months, P = 0.351) or 3-year overall survival (OS) rate (80 vs. 78%, P = 0.749) between the two groups. R0 primary cytoreductive surgery was the only factor related to PFS (P = 0.028) and OS (P = 0.005) by Cox regression analysis. The incidence of grade 3/4 adverse events did not significantly differ between the two groups.ConclusionThe efficacy of intraperitoneal chemotherapy mainly comes from the intraperitoneal drug dose intensity and cumulative dose. High-efficiency and low-toxicity intraperitoneal chemotherapy regimens still need to be found and validated.

Combination microRNA-based cellular reprogramming with paclitaxel enhances therapeutic efficacy in a relapsed and multidrug-resistant model of epithelial ovarian cancer

Most advanced-stage ovarian cancer patients, including those with epithelial ovarian cancer (EOC), develop recurrent disease and acquisition of resistance to chemotherapy, leading to limited treatment options. Decrease in Let7b miRNA levels in clinical ovarian cancer has been associated with chemoresistance, increased proliferation, invasion, and relapse in EOC. We have established a murine EOC relapsed model by administering paclitaxel (PTX) and stopping therapy to allow for tumor regrowth. Global microRNA profiling in the relapsed tumor showed significant downregulation of Let7b relative to untreated tumors. Here, we report the use of hyaluronic acid (HA)-based nanoparticle formulation that can deliver Let7b miRNA mimic to tumor cells and achieve cellular programming both in vitro and in vivo. We demonstrate that a therapeutic combination of Let7b miRNA and PTX leads to significant improvement in anti-tumor efficacy in the relapsed model of EOC. We further demonstrate that the combination therapy is safe for repeated administration. This novel approach of cellular reprogramming of tumor cells using clinically relevant miRNA mimic in combination with chemotherapy could enable more effective therapeutic outcomes for patients with advanced-stage relapsed EOC.

Hyperspectral Imaging for Tissue Classification after Advanced Stage Ovarian Cancer Surgery-A Pilot Study.

Simple SummarySurvival of ovarian cancer patients largely relies on the surgical removal of all cancer cells. To achieve this, good vision is crucial. In this study, we evaluate the ability of hyperspectral imaging to detect ovarian cancer. Images of surgically removed tissue samples of 11 patients were taken and compared to histopathology in order to train machine learning software. For training purposes, only healthy tissues and tissues with high tumor cell content (>50%) were included. In total, 26 tissue samples and 26,446 data points of 10 patients were included. Tissue classification as either tumorous or healthy was evaluated by leave-one-out cross-validation. This resulted in a power of 0.83, a sensitivity of 0.81, a specificity of 0.70 and a Matthew’s correlation coefficient of 0.41. To conclude, this study shows that hyperspectral imaging can be used to recognize ovarian cancer. In the future, the technique may enable real-time image guidance during surgery.The most important prognostic factor for the survival of advanced-stage epithelial ovarian cancer (EOC) is the completeness of cytoreductive surgery (CRS). Therefore, an intraoperative technique to detect microscopic tumors would be of great value. The aim of this pilot study is to assess the feasibility of near-infrared hyperspectral imaging (HSI) for EOC detection in ex vivo tissue samples. Images were collected during CRS in 11 patients in the wavelength range of 665–975 nm, and processed by calibration, normalization, and noise filtering. A linear support vector machine (SVM) was employed to classify healthy and tumorous tissue (defined as >50% tumor cells). Classifier performance was evaluated using leave-one-out cross-validation. Images of 26 tissue samples from 10 patients were included, containing 26,446 data points that were matched to histopathology. Tumorous tissue could be classified with an area under the curve of 0.83, a sensitivity of 0.81, a specificity of 0.70, and Matthew’s correlation coefficient of 0.41. This study paves the way to in vivo and intraoperative use of HSI during CRS. Hyperspectral imaging can scan a whole tissue surface in a fast and non-contact way. Our pilot study demonstrates that HSI and SVM learning can be used to discriminate EOC from surrounding tissue.

Oncolytic Orf virus licenses NK cells via cDC1 to activate innate and adaptive antitumor mechanisms and extends survival in a murine model of late-stage ovarian cancer

BackgroundNovel therapies are needed to improve outcomes for women diagnosed with ovarian cancer. Oncolytic viruses are multifunctional immunotherapeutic biologics that preferentially infect cancer cells and stimulate inflammation with the potential...

Overall Survival and Related Factors of Advanced-stage Epithelial Ovarian Cancer Patients Underwent Debulking Surgery in Jakarta, Indonesia: A Single-center Experience

AIM: The worrisome prognosis of advanced-stage epithelial ovarian cancer (EOC) needs a new perspective from developing countries. Thus, we attempted to study the 5-year overall survival (OS) of advanced-stage EOC patients who underwent debulking surgery in an Indonesian tertiary hospital. METHODS: A retrospective study recruited forty-eight subjects between 2013 and 2015. We conducted multiple logistic regression analyses to predict risk factors leading to unwanted disease outcomes. The OS was evaluated through the Kaplan–Meier curve and Log-rank test. Cox proportional hazards regression examined prognostic factors of patients. RESULTS: Prominent characteristics of our patients were middle age (mean: 51.9 ± 8.9 years), obese, with normal menarche onset, multiparous, not using contraception, premenopausal, with serous EOC, and FIGO stage IIIC. The subjects mainly underwent primary debulking surgery (66.8%), with 47.9% of all individuals acquiring optimal results, 77.1% of patients treated had the residual disease (RD), and 52.1% got adjuvant chemotherapy. The risk factor for serous EOC was menopause (odds ratio [OR] = 4.82). The predictors of suboptimal surgery were serous EOC (OR = 8.25) and FIGO stage IV (OR = 11.13). The different OS and median survival were observed exclusively in RD, making it an independent prognostic factor (hazard ratio = 3.50). 5-year A five year OS and median survival for patients with advanced-stage EOC who underwent debulking surgery was 37.5% and 32 months, respectively. Optimal versus suboptimal debulking surgery yielded OS 43.5% versus 32% and median survival of 39 versus 29 months. Both optimal and suboptimal debulking surgery followed with chemotherapy demonstrated an OS 40% lower than those not administered (46.2% and 20%, respectively). The highest 5-year OS was in serous EOC (50%). Meanwhile, the most extended median survival was with mucinous EOC (45 months). CONCLUSION: Chemotherapy following optimal and suboptimal debulking surgery has the best OS among approaches researched in this study. RD is a significant prognostic factor among advanced-stage EOC. Suboptimal surgery outcomes can be predicted by stage and histological subtype.

A Prognostic Model Based on XRCC1 Gene Polymorphisms and Clinicopathological Factors to Predict One-Year Survival of Advanced Epithelial Ovarian Cancer Patients

Prognosis of advanced stage epithelial ovarian cancer (EOC) patients remains poor due to recurrence and disease progression after surgery and chemotherapy. Polymorphism in the genes involved in DNA repair, i.e. x-ray repair cross complementing protein-1 (XRCC1) and XRCC3 could alter function, diminish repair kinetics and may play a role in tumor resistance to therapy. This study was aimed to predict the prognosis of advanced stage EOC patients based on the polymorphism of XRCC1 and XRCC3 genes and the clinicopathology. This was an ambispective cohort study in EOC patients treated in Fatmawati General Central Hospital and its network hospitals in Jakarta between 2011 and 2016. Demographic data and clinicopathology was obtained from the medical record. Polymorphisms of XRCC1 and XRCC3 genes were detected by using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP) method. Survival analyses were performed using the Kaplan-Meier curve and Cox proportional hazard test. Multivariate analyses were performed to obtain prediction model for 1-year survival. Scoring system was developed and tested using the receiver operating characteristic (ROC) curve analyses. A total of 129 eligible cases were included. Patients’ mean age was 49.6 years. Most patients (93.8%) were having stage III disease. Mortality at 1-year was associated with three independent variables, i.e. histopathology subtype, residual tumor &gt; 1 cm, and XRCC1 gene Arg399Gln polymorphisms (Arg/Gln or Gln/Gln alleles). These prediction models gave 85.3% accuracy by ROC curve analysis and 82.7% posttest probability. Prognosis of advanced stage EOC patients can be predicted from several clinicopathological factors and XRCC1 gene polymorphisms. Validation study is needed to confirm these findings.

Characteristics of long-term survival in advanced stage ovarian cancer: a nationwide cohort in the Netherlands

Objective: Despite optimal treatment with debulking surgery and chemotherapy, the majority of patients with advanced stage epithelial ovarian cancer (EOC) die within five years. Survival beyond eight years is rare and the mechanisms that lead to such favorable outcomes are incompletely understood. We aimed to identify characteristics associated with long-term survival (LTS) in a population-based cohort of patients with advanced stage EOC. Methods: Patients with advanced stage (FIGO IIB-IV) EOC diagnosed between 2008 and 2012 were identified from the Netherlands Cancer Registry. LTS was defined as survival for more than eight years after diagnosis, based on 20% survival within this cohort. Patient, tumor, and treatment characteristics were analyzed using multivariable logistic regression to find predictors for LTS. Results: We identified 2744 eligible patients of whom 571 were long-term survivors (survival longer than eight years). Younger age, lower tumor stage, low-grade histology, FIGO IV based on extra-abdominal lymph node compared to pleural metastasis, primary debulking surgery vs neo-adjuvant chemotherapy followed by interval debulking surgery, residual disease less than one cm or no macroscopic disease, and ascites less than 100 mL were associated with LTS. Furthermore, less than six chemotherapy cycles compared to six, and carboplatin plus paclitaxel combined with other chemotherapy agents compared to carboplatin plus paclitaxel, were associated with a lower odds of LTS. Conclusion: Characteristics of the tumor, patient and treatment play a substantial role in respect to the prognosis of advanced stage EOC, and can assist in the prediction of LTS.

Contrasting clinical characteristics and treatment patterns in women with newly diagnosed advanced-stage epithelial ovarian cancer in Australia, South Korea and Taiwan.

The real-world INFORM study analyzed sociodemographics, treatment patterns and clinical outcomes for patients with newly diagnosed advanced epithelial ovarian cancer (EOC) in Australia, South Korea (S.Korea) and Taiwan preceding incorporation of poly(ADP-ribose) polymerase inhibitors into clinical practice. Retrospective data from patients diagnosed with EOC (high-grade serous EOC for Taiwan) between January 2014 and December 2018 with ≥12 months follow-up from diagnosis were analyzed descriptively. Survival was evaluated by Kaplan-Meier with two-sided 95% confidence interval (CI). Of the 987 patients (Australia, 223; S.Korea, 513; Taiwan, 251), 98% received platinum-based chemotherapy (CT). In S.Korea and Taiwan 76.0% and 78.9% respectively underwent primary cytoreductive surgery; in Australia, 56.5% had interval debulking surgery. Bevacizumab was included in primary/maintenance therapy for 22.4%, 14.6% and 6.8% of patients in Australia, S.Korea and Taiwan, respectively. Patients receiving bevacizumab were high-risk (reimbursement policy) and achieved similar real-world progression-free survival (PFS) compared with CT only. Overall, the median real-world PFS (months; 95% CI) was similar across Australia (16.0 [14.63-18.08]), S.Korea (17.7 [16.18-19.27]) and Taiwan (19.1 [17.56-22.29]). This study reveals poor prognosis despite differences in demographics and treatment patterns for patients with EOC across Asia-Pacific suggesting the need for biomarker-driven novel therapies to improve outcomes.

Clinical Staging of Ovarian Cancer.

Ovarian cancer may arise from any of the histologic portions of the ovary including the epithelium, stroma, or germ cells. Of these, high-grade serous carcinoma arising from the epithelium of the ovary is the most common type. The clinical management and prognosis of ovarian cancer depend upon the stage of the cancer. Cancer stage is the extent to which the cancer has spread from its site of origin. For ovarian cancer, staging guidelines are determined by FIGO, the Fédération Internationale de Gynécologie et d'Obstétrique. The stage of ovarian cancer is determined by performing surgery to remove the ovaries and other gynecologic organs as well as lymph nodes and other tissues where the cancer may have spread. The histologic specimens from this surgery provide information from which the stage can be determined. In more advanced cases, this surgery may also include procedures to remove other areas of cancer. The stage of ovarian cancer guides treatment and is also the most important factor in ovarian cancer prognosis. Most epithelial ovarian cancers are diagnosed in advanced stages and are treated with surgery and chemotherapy. Despite aggressive treatment, the survival of patients with advanced stage epithelial ovarian cancer remains low, and more effective diagnostic and therapeutic approaches are needed.

Validation of MiROvaR, a microRNA-based predictor of early relapse in early stage epithelial ovarian cancer as a new strategy to optimise patients' prognostic assessment

AimEarly-stage epithelial ovarian cancer (eEOC) patients have a generally favorable prognosis but unpredictable recurrence. Accurate prediction of risk of relapse is still a major concern, essentially to avoid overtreatment. Our robust tissue-based miRNA signature named MiROvaR, predicting early EOC recurrence in mostly advanced-stage EOC patients, is here challenged in an independent cohort to extend its classifying ability in the early-stage EOC setting. MethodsWe retrospectively selected patients who underwent comprehensive surgical staging at our institution including stages from IA to IIB. miRNA expression profile was analysed in 89 cases and MiROvaR algorithm was applied using the previously validated cut-off for patients' classification. The primary endpoint was progression-free survival (PFS) at 5 years. Complete follow-up time (median = 112 months) was also considered as secondary analysis. ResultsMiROvaR was assessable on 87 cases (19 events of disease progression) and classified 68 (78%) low-risk and 19 (22%) high-risk patients. Recurrence rate at primary end-point was 39% for high-risk patients as compared to 9.5% for low-risk ones. Accordingly, their Kaplan–Meier PFS curves were significantly different at both primary and secondary analysis (p = 0.0006 and p = 0.03, respectively). While none of the prominent clinical variables had prognostic relevance, MiROvaR significantly predicted disease recurrence at the 5-year assessment (primary endpoint analysis; HR:5.43, 95%CI:1.82–16.1, p = 0.0024; AUC = 0.78, 95%CI:0.53–0.82) and at complete follow-up time (HR:2.67, 95%CI:1.04–6.8, p = 0.041; AUC:0.68, 95%CI:0.52–0.82). ConclusionsWe validated MiROvaR performance in identifying at diagnosis eEOC patients' at higher risk of early relapse thus enabling selection of the most effective therapeutic approach.

Prognostic significance of ethnicity and age in advanced stage epithelial ovarian cancer: An NRG oncology/gynecologic oncology group study

BackgroundAge and ethnicity are among several factors that influence overall survival (OS) in ovarian cancer. The study objective was to determine whether ethnicity and age were of prognostic significance in women enrolled in a clinical trial evaluating the addition of bevacizumab to front-line therapy. MethodsWomen with advanced stage ovarian, primary peritoneal, or fallopian tube cancer were enrolled in a phase III clinical trial. All women had surgical staging and received adjuvant chemotherapy with one of three regimens. Cox proportional hazards models were used to evaluate the relationship between OS with age and race/ethnicity among the study participants. ResultsOne-thousand-eight-hundred-seventy-three women were enrolled in the study. There were 280 minority women and 328 women over the age of 70. Women age 70 and older had a 34% increase risk for death when compared to women under 60 (HR = 1.34; 95% CI 1.16–1.54). Non-Hispanic Black women had a 54% decreased risk of death with the addition of maintenance bevacizumab (HR = 0.46, 95% CI:0.26–0.83). Women of Asian descent had more hematologic grade 3 or greater adverse events and a 27% decrease risk of death when compared to non-Hispanic Whites (HR = 0.73; 95% CI: 0.59–0.90). ConclusionsNon-Hispanic Black women showed a decreased risk of death with the addition of bevacizumab and patients of Asian ancestry had a lower death rate than all other minority groups, but despite these clinically meaningful improvements there was no statistically significant difference in OS among the groups.

Prolongation of Neoadjuvant Chemotherapy before Surgery: Seeking the Optimal Number of Cycles in Serous Ovarian Cancer

Aim: The optimal number of neoadjuvant chemotherapy (NACT) cycles is unclear in epithelial ovarian cancer. Our study aimed to evaluate the effect of the number of NACT cycles before interval debulking surgery on survival. Methods: Data of 221 patients with advanced-stage serous epithelial ovarian cancer (EOC) were retrospectively evaluated. The patients were divided into groups as who received 3 cycles of NACT (group A), 4-5 cycles of NACT (group B), and 6 cycles of NACT (group C). Results: There were 67 (30%) patients in group A, 70 (32%) in group B, and 84 (38%) in group C. Median overall survival (OS) was 61 (range 43–79) months for group A, 44 (range 36–52) months for group B, and 39 (range 27–50) months for group C. In addition, median disease-free survival (DFS) was 23.1 (range 8.5–32.1) months for group A, 19.2 (range 10.1–28.4) months for group B, and 21.5 (range 16–27) months for group C. Patients receiving >3 NACT cycles had worse OS than patients who received 3 NACT cycles (for group A vs. B, p = 0.018; for group A vs. C, p = 0.049). However, in terms of DFS, patients receiving 3 NACT cycles had no statistically significant difference compared to patients who received >3 NACT cycles. Conclusions: Patients with advanced-stage serous EOC who received more than 3 cycles of NACT had poor OS. However, there was no statistical difference in terms of DFS. In addition, >3 cycles of NACT did not increase the probability of achieving complete cytoreduction at the time of surgery.

Addition of an Fc-IgG induces receptor clustering and increases the in vitro efficacy and in vivo anti-tumor properties of the thrombospondin-1 type I repeats (3TSR) in a mouse model of advanced stage ovarian cancer

ObjectivesTumor vasculature is structurally abnormal, with anatomical deformities, reduced pericyte coverage and low tissue perfusion. As a result of this vascular dysfunction, tumors are often hypoxic, which is associated with an aggressive tumor phenotype, and reduced delivery of therapeutic compounds to the tumor. We have previously shown that a peptide containing the thrombospondin-1 type I repeats (3TSR) specifically targets tumor vessels and induces vascular normalization in a mouse model of epithelial ovarian cancer (EOC). However, due to its small size, 3TSR is rapidly cleared from circulation. We now introduce a novel construct with the 3TSR peptide fused to the C-terminus of each of the two heavy chains of the Fc region of human IgG1 (Fc3TSR). We hypothesize that Fc3TSR will have greater anti-tumor activity in vitro and in vivo compared to the native compound. MethodsFc3TSR was evaluated in vitro using proliferation and apoptosis assays to investigate differences in efficacy compared to native 3TSR. In light of the multivalency of Fc3TSR, we also investigate whether it induces greater clustering of its functional receptor, CD36. We also compare the compounds in vivo using an orthotopic, syngeneic mouse model of advanced stage EOC. The impact of the two compounds on changes to tumor vasculature morphology was also investigated. ResultsFc3TSR significantly decreased the viability and proliferative potential of EOC cells and endothelial cells in vitro compared to native 3TSR. High-resolution imaging followed by image correlation spectroscopy demonstrated enhanced clustering of the CD36 receptor in cells treated with Fc3TSR. This was associated with enhanced downstream signaling and greater in vitro and in vivo cellular responses. Fc3TSR induced greater vascular normalization and disease regression compared to native 3TSR in an orthotopic, syngeneic mouse model of advanced stage ovarian cancer. ConclusionThe development of Fc3TSR which is greater in size, stable in circulation and enhances receptor activation compared to 3TSR, facilitates its translational potential as a therapy in the treatment of metastatic advanced stage ovarian cancer.

Oncologic outcomes after splenectomy during initial cytoreductive surgery in advanced epithelial ovarian cancer: a nationwide population-based cohort study.

Epithelial ovarian cancer (EOC) patients undergoing splenectomy during cytoreductive surgery represent a small subgroup of patients. Splenic metastases or technical reasons due to extensive upper abdominal disease may require a splenectomy. It has been hypothesized that as the spleen's antitumor immunologic functions may inhibit cancer growth, splenectomy may promote the growth of residual disease as observed in other cancer types of murine studies. The few studies assessing the impact of splenectomy on the oncologic outcomes of advanced stage EOC patients have reported inconsistent results. It remains unclear whether splenectomy during cytoreductive surgery is justified to achieve complete cytoreduction. The aim of this study was to assess the impact of a splenectomy on perioperative outcomes and survival of advanced stage EOC patients. In this nationwide population-based study, all consecutive patients diagnosed with FIGO stage IIIC and IV EOC between 1 January 2008 and 31 December 2015 were identified from the Netherlands Cancer Registry. Patients who underwent cytoreductive surgery combined with platinum-based chemotherapy as primary treatment were selected. Differences in clinicopathologic characteristics between splenectomy and non-splenectomy patients were assessed. Progression-free survival (PFS) and overall survival (OS) were analyzed using Kaplan-Meier survival curves and log-rank tests. Cox proportional hazards models were used to adjust for covariates that influence survival. A total of 3911 patients were identified: 99splenectomy and 3812 non-splenectomy patients. Splenectomy patients were more likely to undergo extensive surgery or surgical reintervention, to receive intraperitoneal chemotherapy, intraoperative and postoperative blood transfusion, to experience postoperative infections, and to be admitted to an intensive care unit (all p<0.002). No significant differences in PFS or OS were observed between splenectomy vs non-splenectomy patients after adjusting for covariates. Although advanced stage EOC patients who undergo splenectomy during cytoreductive surgery have less favorable perioperative outcomes, no adverse impact of splenectomy on the survival of advanced stage EOC patients was observed. Splenectomy during cytoreductive surgery seems to be justified to achieve complete cytoreduction in advanced stage EOC patients.