A novel index for preoperative, non-invasive prediction of macro-radical primary surgery in patients with stage IIIC-IV ovarian cancer-a part of the Danish prospective pelvic mass study

Preoperative serum level of CA153 and a new model to predict the sub-optimal primary debulking surgery in patients with advanced epithelial ovarian cancer

OBJECTIVE

The aim of this study was to establish a preoperative model to predict the outcome of primary debulking surgery (PDS) for advanced ovarian cancer (AOC) patients by combing Suidan predictive model with HE4, CA125, CA153 and ROMA index.

METHODS

76 AOC Patients in revised 2014 International Federation of Gynecology and Obstetrics (FIGO) stage III-IV who underwent PDS between 2017 and 2019 from Yunnan Cancer Hospital were included. Clinical data including the levels of preoperative serum HE4, CA125, CA153 and mid-lower abdominal CT-enhanced scan results were collected. The logistics regression analysis was performed to find factors associated with sub-optimal debulking surgery (SDS). The receiver operating characteristic curve was used to evaluate the predictive performances of selected variables in the outcome of primary debulking surgery. The predictive index value (PIV) model was constructed to predict the outcome of SDS.

RESULTS

Optimal surgical cytoreduction was achieved in 61.84% (47/76) patients. The value for CA125, HE4, CA153, ROMA index and Suidan score was lower in optimal debulking surgery (ODS) group than SDS group. Based on the Youden index, which is widely used for evaluating the performance of predictive models, the best cutoff point for the preoperative serum HE4, CA125, CA153, ROMA index and Suidan score to distinguish SDS were 431.55 pmol/l, 2277 KU/L, 57.19 KU/L, 97.525% and 2.5, respectively. Patients with PIV≥5 may not be able to achieve optimal surgical cytoreduction. The diagnostic accuracy, NPV, PPV and specificity for diagnosing SDS were 73.7%, 82.9%, 62.9% and 72.3%, respectively. In the constructed model, the AUC of the SDS prediction was 0.770 (95% confidence interval: 0.654-0.887), P<0.001.

CONCLUSION

Preoperative serum CA153 level is an important non-invasive predictor of primary SDS in advanced AOC, which has not been reported before. The constructed PIV model based on Suidan's predictive model plus HE4, CA125, CA153 and ROMA index can noninvasively predict SDS in AOC patients, the accuracy of this prediction model still needs to be validated in future studies.

The Use of Artificial Intelligence for Complete Cytoreduction Prediction in Epithelial Ovarian Cancer: A Narrative Review

INTRODUCTION

In patients affected by epithelial ovarian cancer (EOC) complete cytoreduction (CC) has been associated with higher survival outcomes. Artificial intelligence (AI) systems have proved clinical benefice in different areas of healthcare.

OBJECTIVE

To systematically assemble and analyze the available literature on the use of AI in patients affected by EOC to evaluate its applicability to predict CC compared to traditional statistics.

MATERIAL AND METHODS

Data search was carried out through PubMed, Scopus, Ovid MEDLINE, Cochrane Library, EMBASE, international congresses and clinical trials. The main search terms were: Artificial Intelligence AND surgery/cytoreduction AND ovarian cancer. Two authors independently performed the search by October 2022 and evaluated the eligibility criteria. Studies were included when data about Artificial Intelligence and methodological data were detailed.

RESULTS

A total of 1899 cases were analyzed. Survival data were reported in 2 articles: 92% of 5-years overall survival (OS) and 73% of 2-years OS. The median area under the curve (AUC) resulted 0,62. The model accuracy for surgical resection reported in two articles reported was 77,7% and 65,8% respectively while the median AUC was 0,81. On average 8 variables were inserted in the algorithms. The most used parameters were age and Ca125.

DISCUSSION

AI revealed greater accuracy compared against the logistic regression models data. Survival predictive accuracy and AUC were lower for advanced ovarian cancers. One study analyzed the importance of factors predicting CC in recurrent epithelial ovarian cancer and disease free interval, retroperitoneal recurrence, residual disease at primary surgery and stage represented the main influencing factors. Surgical Complexity Scores resulted to be more useful in the algorithms than pre-operating imaging.

CONCLUSION

AI showed better prognostic accuracy if compared to conventional algorithms. However further studies are needed to compare the impact of different AI methods and variables and to provide survival informations.

Preoperative Cancer Antigen 125 Level as Predictor for Complete Cytoreduction in Ovarian Cancer: A Prospective Cohort Study and Systematic Review

Background: The tumor marker ‘cancer antigen 125’ (CA-125) plays a role in the management of women with advanced stage ovarian cancer. This study aims to describe the predictive value of pre-treatment CA-125 level and the reduction after neoadjuvant chemotherapy (NACT) on surgical outcome. Methods: A systematic review and a prospective clinical study were performed. Multiple databases were searched from database inception to April 2022. The clinical study is part of a randomized controlled trial named “PlaComOv-study”. A regression analysis was performed to demonstrate correlations between preoperative CA-125 levels, CA-125 reduction after NACT, and surgical outcome. Results: Fourteen relevant articles were analyzed of which eleven reported that lower preoperative CA-125 levels were associated with a higher probability of complete cytoreduction. In the clinical study, 326 patients with FIGO stage IIIB-IV ovarian cancer who underwent CRS were enrolled from 2018 to 2020. Patients who underwent interval CRS with preoperative CA-125 levels ≤35 kU/L had higher odds of achieving complete CRS than patients with CA-125 level >35 kU/L (85% vs. 67%, OR 2.79, 95%CI 1.44−5.41, p = 0.002). In multivariable analysis with presence of ascites and peritoneal carcinomatosis, normalized preoperative CA-125 did not appear as a significant predictor for complete CRS. Conclusions: In literature, preoperative CA-125 levels ≤35 kU/L were associated with a significant higher percentage of complete CRS in univariable analysis. According to our cohort study, preoperative CA-125 level ≤35 kU/L cannot independently predict surgical outcome either for primary or interval CRS.

The Significance of Peritoneal Washing as a Prognostic Indicator for Ovarian Cancer Patients

BACKGROUND/AIM

During ovarian cancer (OC) debulking surgery, the surgeon can examine the peritoneal cavity for malignant cancer cells with peritoneal washing (PW) cytology. The goal of this study was to examine the significance of peritoneal washing as a prognostic indicator for ovarian cancer patients.

PATIENTS AND METHODS

Information considering the prognostic factors of OC and their impact in PW's result was collected, compared, and combined.

RESULTS

Omental metastasis, tumor type, tumor invasion, tumor size, tumor grade/ stage, tumor's cytoreduction, and recurrence affect both the peritoneal washing result and the patient's prognosis. The correlation that most of the above factors have with a positive PW and dismal prognosis, led us to the assumption that PW has a significance as a prognostic indicator.

CONCLUSION

The significance of PW as a prognostic indicator remains an assumption.

Preoperative Predictors of Optimal Tumor Resectability in Patients With Epithelial Ovarian Cancer

Background

Several studies have shown that whether complete tumor resection can be achieved during debulking surgery depends on various patient-related factors. However, none of these studies was conducted among patients with epithelial ovarian cancer (EOC) in sub-Saharan Africa. In this study, we aimed to determine the preoperative predictors of optimal tumor resectability (OTR) during primary debulking surgery (PDS) in patients with EOC.

Methodology

In this study, we reviewed all patients with histologically diagnosed EOC who underwent PDS between January 2011 and December 2020. We included 83 patients with complete clinical records for subsequent data analysis. Descriptive statistics were computed for patients’ data, and binary logistic regression analysis was used to assess the strength of associations between patients’ preoperative characteristics and OTR.

Results

The overall rate of OTR was 53.0%, while the rate in advanced EOC patients was 36.1%. In the univariate analyses, pleural effusion, ascites, tumor bilaterality, size of the largest tumor, retroperitoneal lymph nodes, omental caking, peritoneal thickening, significant extrapelvic tumor, serum cancer antigen-125 (CA-125) levels, and hemoglobin levels were recorded as the predictors of OTR. However, after adjusting for covariates in the final multivariate models, we found that the absence of moderate-to-large pleural effusion (odds ratio (OR) = 5.60; 95% confidence interval (CI) = 1.32, 23.71) and having serum CA-125 levels of ≤370 U/mL (OR = 6.80; 95% CI = 1.19, 38.79) were the overall independent predictors of OTR while not having any preexisting comorbidity (OR = 18.21; 95% CI = 2.40, 38.10), and the absence of pleural effusions (OR = 13.75; 95% CI = 1.80, 24.85) or enlarged retroperitoneal lymph nodes (OR = 11.95; 95% CI = 1.35, 16.07) were predictors of OTR in advanced EOC patients.

Conclusions

We demonstrated that the radiological absence of pleural effusions and enlarged retroperitoneal lymph nodes and having no preexisting medical morbidity and serum CA-125 levels of ≤370 U/mL were the independent predictors of OTR during PDS. The preliminary data generated from this study can be used to develop variables for a prediction model in a future validation study.

MicroRNA characteristics in epithelial ovarian cancer

The purpose of the current study was to clarify differences in microRNA expression according to clinicopathological characteristics, and to investigate if miRNA profiles could predict cytoreductive outcome in patients with FIGO stage IIIC and IV ovarian cancer. Patients enrolled in the Pelvic Mass study between 2004 and 2010, diagnosed and surgically treated for epithelial ovarian cancer, were used for investigation. MicroRNA was profiled from tumour tissue with global microRNA microarray analysis. Differences in miRNA expression profiles were analysed according to histologic subtype, FIGO stage, tumour grade, type I or II tumours and result of primary cytoreductive surgery. One microRNA, miR-130a, which was found to be associated with serous histology and advanced FIGO stage, was also validated using data from external cohorts. Another seven microRNAs (miR-34a, miR-455-3p, miR-595, miR-1301, miR-146-5p, 193a-5p, miR-939) were found to be significantly associated with the clinicopathological characteristics (p ≤ 0.001), in our data, but mere not similarly significant when tested against external cohorts. Further validation in comparable cohorts, with microRNA profiled using newest and similar methods are warranted.

Prediction of optimal debulking surgery in ovarian cancer

The mainstay management of advanced ovarian cancer is maximal cytoreductive surgery followed by chemotherapy. Neoadjuvant chemotherapy (NACT) and interval debulking surgery (IDS) are alternative treatments for patients with comorbidity, poor performance status, and predicted for suboptimal debulking surgery. It is the invariable principle in any situation that no residual disease after the completion of surgery is useful for patients with ovarian cancer. Therefore, the prediction of optimal debulking before the treatment of ovarian cancer is of utmost importance. Many studies have reported on the use of serum biomarkers, such as cancer antigen 125 (CA125) or human epididymis 4 (HE4), and imaging studies, such as computed tomography (CT), diffusion-weighted magnetic resonance imaging (DW-MRI), and positron emission tomography (PET)/CT, to identify adequate surgical candidates for primary debulking surgery (PDS). Laparoscopy has also been studied as a reliable tool for the prediction of optimal debulking. Here, we summarize a review of the related literature.

Prognostic relevance of high pretreatment CA125 levels in primary serous ovarian cancer

The objective of the present study was to analyze the prognostic relevance of pretreatment serum CA125 ≥500 U/ml and its role as a non-invasive factor for estimating optimal cytoreduction (≤1 cm) in primary serous ovarian cancer. Clinicopathological parameters and CA125 levels prior to primary cytoreductive surgery were retrospectively evaluated in all 261 consecutive patients with primary epithelial ovarian cancer from a single centre. Inclusion criteria were existing preoperative CA125 level, serous ovarian cancer and performed full primary treatment (surgery/platinum-based chemotherapy). A total of 136 patients met the criteria. Among them, 74 patients had CA125 ≥500 U/ml. The other 62 patients that met the aforementioned criteria and had CA125 <500 U/ml were defined as controls. The present study tested cut-off CA125 values to detect subgroups affecting prognosis. The goal was to evaluate patients with optimal cytoreduction (R≤1 cm). Univariate analyses were performed with PASW to identify clinicopathological parameters associated with the pretreatment CA125 level. For survival analyses, a cut-off-value of CA125 ≥500 U/ml was used to identify the association between preoperative CA125 levels, resection status and prognosis. To test significant differences between examined groups, Student's t-test and the Mann-Whitney test were used. P<0.05 was considered to indicate a statistically significant difference. Significantly worse prognosis in terms of overall survival (P=0.023) and progression-free survival (P=0.011) was detected in the CA125 ≥500 U/ml group of optimally cytoreduced patients compared with in the CA125 <500 U/ml group. The complete cytoreduction rate was higher in CA125 <500 U/ml (33.9%) vs. CA125 ≥500 U/ml (21.6%). A CA125 level >1,404 U/ml had a higher rate of suboptimal cytoreduction (32.4%) compared with lower CA125 levels. A pretreatment CA125 level ≥500 U/ml had significantly worse prognostic impact after optimal cytoreduction compared with CA125 <500 U/ml. The higher the CA125 level the higher the suboptimal cytoreduction rate. Patients with CA125 ≥500 U/ml may be candidates for an initial laparoscopic approach to specify resectability and to determine how to proceed. Overall, CA125 levels appear to be helpful in predicting suboptimal cytoreductive surgery for patients with primary ovarian cancer, but should be interpreted together with clinical and radiologic findings. This may improve defining the optimal treatment strategy in these patients.

Scoring systems for the evaluation of adnexal masses nature: current knowledge and clinical applications

Adnexal masses are a common finding in women, with 20% of them developing at least one pelvic mass during their lifetime. There are more than 30 different subtypes of adnexal tumours, with multiple different subcategories, and the correct characterisation of the pelvic masses is of paramount importance to guide the correct management. On that basis, different algorithms and scoring systems have been developed to guide the clinical assessment. The first scoring system implemented into the clinical practice was the Risk of Malignancy Index, which combines ultrasound evaluation, menopausal status, and serum CA-125 levels. Today, current guidelines regarding female patients with adnexal masses include the application of International Ovarian Tumours Analysis simple rules, logistic regression model 1 (LR1) and LR2, OVERA, cancer ovarii non-invasive assessment of treating strategy, and assessment of Different Neoplasias in the adnexa. In this scenario, the choice of the scoring system for the discrimination between benign and malignant ovarian tumours can be complex when approaching patients with adnexal masses. This review aims to summarise the available evidence regarding the different scoring systems to provide a complete overview of the topic.

Prognostic Significance of Log(CA125)/PCI for the Resectability of Epithelial Ovarian Cancer: A Retrospective Study

Objective

This study aimed to evaluate the roles of the ratio of log(serum CA125 level)/PCI in epithelial ovarian cancer.

Methods

This is a retrospective study. Data were retrieved for patients with epithelial ovarian cancer who received primary debulking surgeries (PDS) between January 2014 and December 2017 in Zhongnan Hospital of Wuhan University. The PCI and CA125 were determined retrospectively using surgical reports, histological findings, and intraoperative photographic documentation. Survival analysis and ROC curves were applied to evaluate the roles of the ratio of log(serum CA125 level)/PCI in epithelial ovarian cancer.

Results

A total of 69 patients were included. Of these, serous ovarian cancer and mucinous carcinoma accounted for 63.8% (n=44) and 31.9% (n=22), respectively. The remaining patients had clear cell carcinoma (2.9%, n=2) and endometrioid carcinoma ( 1.4%, n= 1). Kaplan-Meier survival analysis showed that log(serum CA125 level)/PCI (log-rank p=0.018) were prognostic factors for OS. Cox regression analysis, otherwise, suggested that only stages were an independent factor of PFS (P=0.02, 95% CI 0.043-0.763); outcomes of cytoreductive surgery could only affect OS significantly (P=0.009, 95% CI 1.639-31.016). Binary logistic regression discovered that only log(serum CA125 level)/PCI was an independent risk factor of PDS. We further used the ROC curve to find that log(serum CA125 level)/PCI could correctly predict the resectability of PDS with AUC 0.781.

Conclusion

The ratio of log(CA125)/PCI that combined the tumor burden and characteristics of peritoneal carcinoma of ovarian origin can predict the resectability of PDS in epithelial ovarian cancer.

The 34th Annual Meeting of the Korean Society of Gynecologic Oncology 2019: meeting report

The 34th Annual Meeting of Korean Society of Gynecologic Oncology (KSGO) was held in Busan, Korea from 26 to 27 April. Around 460 Korean and international clinicians gathered in Busan to share and discuss their latest work and key issues of gynecologic oncologic research and treatment. The scope of this meeting included recent clinical trials and updates in gynecologic oncology, advances in ovarian cancer treatment, targeted therapy and immunotherapy in gynecologic cancer, management of hereditary gynecologic cancer, and newly revised staging of cervical cancer. As expected, the ongoing debate regarding the recent clinical trial on minimally invasive surgery for early-stage cervical cancer was addressed throughout the congress and the initial outline of the KSGO position statement was open for discussion. The meeting was an opportunity for all participants to come together and explore scientific insights of gynecologic cancer.

The prospect of discovering new biomarkers for ovarian cancer based on current knowledge of susceptibility loci and genetic variation (Review)

Ovarian cancer is the most lethal gynaecological malignancy. The cancer initially presents with non‑specific symptoms; thus, it is typically not discovered until the patient has reached the late, considerably more lethal, stages of the disease. Research focus is currently on finding novel biomarkers, especially for early detection and stratification of the disease. One promising approach has been to focus on mutations or variations in the genetic code that are associated with the risk of developing ovarian cancer. A certain heritable component is already known regarding genes such as BRCA1/2, TP53, MSH6, BRIP1 and RAD51C, yet these are estimated to only account for ~3.1% of the total risk. Recent advances in sequencing technologies have enabled the investigation of hundreds of thousands of genetic variants in genome‑wide association studies in tens of thousands of patients, which has led to the discovery of 108 (39 loci with P<5.0x10‑8) novel susceptibility loci for ovarian cancer, presented in this review. Using the published variants in a patient cohort screening, together with variants identified in our ongoing whole exome sequencing project, future aims are to ascertain whether certain of the novel variants could be used as biomarkers for early diagnosis and/or treatment decisions.

Pre-operative prediction of residual disease after interval cytoreduction for epithelial ovarian cancer using HE4

BACKGROUND

Presence of residual disease after cytoreductive surgery is an important negative prognostic factor for patients with advanced stage epithelial ovarian cancer. Surgery is of limited benefit when the diameter of residual disease is >1 cm. Residual disease is difficult to predict before surgery. The multivariate model Cancer Ovarii Non-invasive Assessment of Treatment Strategy (CONATS) index, based on serum biomarker HE4, age, and World Health Organization performance status, predicted no visible residual disease in patients undergoing primary cytoreductive surgery with an area under the curve (AUC) of 0.85. The AUC of predicting residual disease >1 cm was not reported, although this can be of importance for pre-operative decision making, especially in fragile patients. We tested this model for predicting residual disease >1 cm in patients undergoing interval cytoreduction.

METHODS

We retrospectively included patients with advanced epithelial ovarian cancer who underwent interval cytoreduction between January 2010 and December 2017 in two tertiary centers in the Netherlands. HE4 was measured with electrochemiluminescence in pre-operative samples. The CONATS index was used to predict residual disease. AUCs were calculated to predict residual disease >1 cm.

RESULTS

A total of 273 patients were included. Mean (SD) age was 64 (11) years. Median number of cycles of neoadjuvant chemotherapy was 3 (range 3-6) and the most common regimen used consisted of carboplatin and paclitaxel. Before interval cytoreduction, 19 patients (7%) showed complete response to chemotherapy, 251 patients (92%) showed partial response, and 3 patients (1%) showed stable disease at imaging. Following surgery, 232 patients (85%) had residual disease ≤1 cm and 41 patients (15%) had residual disease >1 cm. The AUC was 0.80 for predicting residual disease >1 cm. In patients ≥70 years of age the AUC was 0.82.

CONCLUSION

The CONATS index predicts surgical outcome after interval cytoreduction and is useful in counseling patients about the chance of whether an optimal interval cytoreduction can be achieved. This could be especially helpful in counseling elderly patients in whom surgery has a high risk of complications.

The Diagnostic Accuracy of Human Epididymis Factor 4 for the Prediction of Optimal Debulking in Patients With Ovarian Cancer: A Meta-Analysis of Observational Studies

OBJECTIVE

Human epididymis factor-4 (HE4) has been studied in the field of ovarian cancer with promising results during the last decade. The purpose of the present meta-analysis is to investigate the diagnostic accuracy of HE4, in terms of sensitivity and specificity, as a minimally invasive method to predict optimal debulking in women that experience ovarian cancer.

METHODS

We used the Medline (1966-2017), Scopus (2004-2017), EMBASE, ClinicalTrials.gov (2008-2017) and Cochrane Central Register of Controlled Trials CENTRAL (1999-2017) databases in our primary search, along with the reference lists of electronically retrieved full-text articles.

RESULTS

Eleven articles were finally retrieved that enrolled 1065 women with ovarian cancer. Three of those were excluded because data were insufficient to introduce them in the meta-analysis. The sensitivity of HE4 for the prediction of optimal debulking was 0.81 (95% confidence interval [CI] 0.74-0.86) and the pooled specificity 0.80 (95% CI 0.75-0.84). The diagnostic odds ratio was 13.88 (95% CI 7.18-26.84) and the area under the curve, 0.86±0.03. After selecting only studies that enrolled patients with advanced disease who had primary debulking surgery, we observed that the pooled sensitivity reached 0.81 (95% CI 0.72-0.88), and the pooled specificity 0.70 (95% CI 0.62-0.78), with an area under the curve of 0.88±0.04.

CONCLUSIONS

Human epididymis factor-4 seems to be promising as a minimally invasive method to predict optimal cytoreduction among patients with ovarian cancer. However, interpretation of our findings should be approached with caution because of the significant heterogeneity of included studies.

Impact of residual disease on overall survival in women with Federation of Gynecology and Obstetrics stage IIIB-IIIC vs stage IV epithelial ovarian cancer after primary surgery

INTRODUCTION

The objective of this study was to determine the impact of intra-abdominal residual disease size, type (carcinomatosis, tumor mass or both), and location (upper/lower abdominal/both) on overall survival in women with Federation of Gynecology and Obstetrics (FIGO) stage IIIB-IIIC vs stage IV epithelial ovarian cancer who underwent primary debulking surgery.

MATERIAL AND METHODS

Altogether 2092 women diagnosed with advanced epithelial ovarian cancer undergoing primary debulking surgery in Denmark during 2005-2016 were identified in the Danish Gynecological Cancer Database. The impact of residual disease size, type, and location were evaluated using univariate and multivariate analyses.

RESULTS

Complete cytoreduction (residual disease = 0) was achieved in 47.3% and 38.4% of women with stage IIIB-IIIC and IV epithelial ovarian cancer, respectively. A benefit in overall survival was observed in women with residual disease = 0 compared with women with residual disease, and among women with residual disease ≤1 cm compared with residual disease >2 cm in both stages IIIB-IIIC and stage IV in multivariate analyses. Multivariate analyses showed an inferior overall survival for women with both residual carcinomatosis and residual tumor mass compared with those with residual tumor mass or residual carcinomatosis only for stage IIIB-IIIC and IV, and an inferior overall survival for women with residual disease located in both the upper and lower abdomen compared with residual disease in the upper abdomen only in stages IIIB-IIIC.

CONCLUSIONS

Our results confirm the positive prognostic impact of both complete cytoreduction and residual disease ≤1 cm in stages IIIB-IIIC as well as stage IV epithelial ovarian cancer. Women with stage IV do benefit from cytoreductive surgery and should be considered for primary debulking surgery, if residual disease = 0 can initially be expected.

Model for Prediction of Optimal Debulking of Epithelial Ovarian Cancer

Background: Primary cytoreduction surgery followed by chemotherapy is the cornerstone treatment for epithelial ovarian cancer (EOC). In patients with a low probability of optimal primary surgical debulking, neoadjuvant chemotherapy (NACT) followed by interval debulking increases the chance of optimal surgery. The aim of this study was to develop a model to identify preoperative predictors for suboptimal cytoreduction. Methods: Medical records of patients with EOC who underwent primary cytoreductive surgery in a referral tertiary gyneco-oncology center were reviewed from 2007 to 2017. Data were collected on a range of characteristics including demographic features, comorbidities, serum tumor markers, hematologic markers, preoperative imaging, surgical procedures, and pathologic reports. Univariate and multivariate analyses were performed to clarify the ability of preoperative factors to predict suboptimal primary surgery. Results: The majority of patients (71.3%) who underwent primary cytoreductive surgery were optimally debulked. Based on the Youden index, the best cut-off point for the serum CA125 level to distinguish suboptimal debulking was 420U/ml with 0.730 (95%CI:0.559 to 0.862) sensitivity and 0.783 (0.684 to 0.862) specificity. Multiple logistic regression results showed that serum CA125 level >420 U/ ml (p value <0.001), the presence of liver metastasis on preoperative imaging (p value: 0.041) and ascites (p value: 0.032) or massive ascites (p value:0.010) significantly increased the risk of suboptimal debulking (logit p = 2.36 CA125 level +1.85 Liverinvolvement +1.68 presence of Ascites+ 2.28 Massive Ascites). Conclusion:The present study suggests that a serum CA125 level >420 U/ml, the presence of ascites or massive ascites and liver metastasis are strong predictors of suboptimal primary surgery in cases of EOC. Based on the constructed model, with any of these 4 factors, the probability of suboptimal debulking in EOC is more than 80%.

Searching for new biomarkers in ovarian cancer patients: Rationale and design of a retrospective study under the Mermaid III project

Ovarian cancer is a silent killer and, due to late diagnosis, the primary cause of death amongst gynecological cancers, killing approximately 376 women annually in Denmark. The discovery of a specific and sensitive biomarker for ovarian cancer could improve early diagnosis, but also treatment, by predicting which patients will benefit from specific treatment strategies. The Mermaid III project is consisting of 3 parts including "Early detection, screening and long-term survival," "Biomarkers and/or prognostic markers" and "The infection theory." The present paper gives an overview of the part regarding biomarkers and/or prognostic markers, with a focus on rationale and design. The study described has 3 major branches: microRNAs, epigenetics and Next Generation Sequencing. Tissue and blood from ovarian cancer patients, already enrolled in the prospective ongoing pelvic mass cohort, will be examined. Relevant microRNAs and DNA methylation patterns will be investigated using array technology. Patient exomes will be fully sequenced, and identified genetic variations will be validated with Next Generation Sequencing. In all cases, data will be correlated with clinical information on the patient, in order to identify possible biomarkers. A thorough investigation of biomarkers in ovarian cancer, including large numbers of different markers, has never been done before. Besides from improving diagnosis and treatment, other outcomes could be markers for screening, knowledge of the molecular aspects of cancer and the discovery of new drugs. Moreover, biomarkers are a prerequisite for the development of precision medicine. This study will attack the ovarian cancer problem from several angles, thereby increasing the chance of successfully contributing to saving lives.