Serum HE4 superior to CA125 in predicting poorer surgical outcome of epithelial ovarian cancer

Lysophosphatidic acid responsive photosensitive supramolecular organic frameworks for tumor imaging, drug loading, and photodynamic therapy

Supramolecular organic frameworks have been widely applied for biological detection and drug delivery. In this study, a supramolecular organic framework (SOF) is constructed through the self-assembly of a highly photosensitive triarylphosphine oxide guest molecule, OTPP-6-Methyl, with cucurbit [8] uril (CB [8]). The formation of the SOF gradually enhances the weak fluorescence of OTPP-6-Methyl owing to the restriction of the molecular folding motion. Although the high positive charge of OTPP-6-Methyl facilitates binding to various negatively charged substances, the SOF system only demonstrated an obvious fluorescence response to LPA, a biomarker of ovarian cancer, via the disassembly of SOF and subsequent binding of OTPP-6-Methyl with LPA. The fluorescence changes during the entire process are insufficient to allow the sensitive detection of LPA; thus, we further designed a FRET system by introducing Cy5, which can act as an energy receptor to achieve a ratiometric readout for LPA. The tumor-targeting cRGD group was introduced into the SOF system as part of another guest molecule, OTPP-5-M-1-cRGD, to improve the tumor-targeting ability of the SOF system. The SOF system further improves the photosensitivity of guest molecules, and is therefore used in the in vivo imaging of ovarian cancer subcutaneous tumors and as a DDS for loading DOX for the combined in vivo chemotherapy and photodynamic treatment of tumors.

Developing a novel image marker to predict the clinical outcome of neoadjuvant chemotherapy (NACT) for ovarian cancer patients

OBJECTIVE

Neoadjuvant chemotherapy (NACT) is one kind of treatment for advanced stage ovarian cancer patients. However, due to the nature of tumor heterogeneity, the clinical outcomes to NACT vary significantly among different subgroups. Partial responses to NACT may lead to suboptimal debulking surgery, which will result in adverse prognosis. To address this clinical challenge, the purpose of this study is to develop a novel image marker to achieve high accuracy prognosis prediction of NACT at an early stage.

METHODS

For this purpose, we first computed a total of 1373 radiomics features to quantify the tumor characteristics, which can be grouped into three categories: geometric, intensity, and texture features. Second, all these features were optimized by principal component analysis algorithm to generate a compact and informative feature cluster. This cluster was used as input for developing and optimizing support vector machine (SVM) based classifiers, which indicated the likelihood of receiving suboptimal cytoreduction after the NACT treatment. Two different kernels for SVM algorithm were explored and compared. A total of 42 ovarian cancer cases were retrospectively collected to validate the scheme. A nested leave-one-out cross-validation framework was adopted for model performance assessment.

RESULTS

The results demonstrated that the model with a Gaussian radial basis function kernel SVM yielded an AUC (area under the ROC [receiver characteristic operation] curve) of 0.806 ± 0.078. Meanwhile, this model achieved overall accuracy (ACC) of 83.3%, positive predictive value (PPV) of 81.8%, and negative predictive value (NPV) of 83.9%.

CONCLUSION

This study provides meaningful information for the development of radiomics based image markers in NACT treatment outcome prediction.

Prognostic value of HE4 in advanced-stage, high-grade serous ovarian cancer: Analysis of HE4 kinetics during NACT, predicting surgical outcome and recurrence in comparison to CA125

OBJECTIVES

To assess the prognostic value of human epididymis protein 4 (HE4) kinetics during and after neoadjuvant chemotherapy (NACT) cycles compared with cancer antigen 125 (CA-125), in predicting the surgical outcomes of interval debulking surgery (IDS) in patients with advanced-stage, high-grade serous ovarian cancer.

METHODS

This retrospective cohort study was conducted at Severance Hospital in Seoul, South Korea and involved 123 women with high-grade serous epithelial ovarian, fallopian tube, or primary peritoneal cancer who were diagnosed between April 2015 and July 2020. Three outcomes were considered: the chemotherapy response score (CRS) by omentum, residual disease after IDS, and recurrence. Other clinical, imaging, and biological parameters at baseline, during NACT cycles, and pre- and postoperative time were collected and analyzed.

RESULTS

We observed a substantial and gradual decrease in both CA-125 level (median from 1612 to 85.55 U/mL; p < 0.001) and HE4 level (514.7 to 87.7 pmol/L; p < 0.001) during NACT cycles, while pre-to-postoperative reduction was only significant for HE4 (median from 77.3 to 62.0 pmol/L (p < 0.001)). Of the total patients, 4.1% showed no response to NACT (chemoresistance) and 65.9% had a partial response. Residual disease was observed in 55 (44.7%) patients. Recurrence occurred in 90 patients (73.2%), with a median progression-free survival of 15.28 months. The percent reduction in CA-125 level- but not HE4 - during NACT was significantly associated with CRS (by omentum); the reduction in CA-125 during NACT cycles was higher when the CRS was found to be 3 and 2 (median = 96.4 [IQR = 8.3] and 93.7 [12.2] respectively) compared to score 1 (68.3 [34.1]), and the difference was statistically significant (p = 0.004). However, no significant association was observed between the percent reduction in CA-125 or HE4 levels during NACT and residual disease or recurrence. The normalization of HE4 - but not CA-125 - before surgery was predictive for surgery outcome; that is, an abnormal preop HE4 level was associated with a residual disease risk ratio of 2.72 (95% CI = 1.27-5.79).

CONCLUSION

Monitoring HE4 or CA-125 levels has low prognostic value in patients with advanced-stage, high-grade serous ovarian cancer who are treated with NACT followed by IDS. However, the preoperative level of the HE4 biomarker may be useful in identifying patients at higher risk for suboptimal cytoreductive surgery or who may require more extensive surgery. Further prospective studies are warranted to explore the prognostic utility of eventual combinations of clinical, radiological, and biological parameters, notably by using artificial intelligence-based models.

The Role of Interleukin 6 (IL6), Cancer Antigen-125 (CA-125), and Human Epididymis Protein 4 (HE4) to predict tumor resectability in the advanced epithelial ovarian cancer patients

INTRODUCTION

A study of tumor resectability in pre-operative patients with advanced epithelial ovarian cancer is required to predict primary surgical benefits accurately. This study aims to investigate IL6, CA-125 and HE4 to predict tumor resectability in the pre-operative patients with advanced epithelial ovarian cancer.

METHODS

This cross-sectional study was conducted in the polyclinic, oncology and gynecology inpatient room of Dr. M. Jamil Padang Hospital from June until December 2022. Advanced epithelial ovarian cancer stage based on histology result from FIGO stages IIIB-IVA. IL6, CA-125, and HE4 were measured using ECLIA (electrochemiluminescence immunoassay). Categorical data were assessed using Chi-square and Mann-Whitney tests. Numerical variable correlations were analyzed using Pearson Correlation tests. While the correlation between numerical and nominal variables was analyzed using the Eta correlation test. A p-value of <0,05 was considered a significant correlation. The cut-off value of serum IL6, CA-125, and HE4 was determined with a ROC curve. The sensitivity and specificity of each clinical parameter were calculated.

RESULTS

There was a significant difference in IL-6 (1328 vs 752 pg/ml; p<0,001), CA-125 (1260,5 vs 819,5 U/ml; p<0,001), and HE4 levels (1320 vs 760 pmol/L; p<0,001) between patients with tumor resectability of > 1 cm (suboptimal) vs < 1 cm (optimal). There was a correlation between IL6 (r = 0,832), CA-125 (r = 0,716), and HE4 (r = 0,716) with tumor resectability.

CONCLUSION

Measuring IL6, CA-125, and HE4 levels is useful for clinicians to predict tumor resectability in pre-operative patients with advanced epithelial ovarian cancer.

The performance of Carbohydrate Antigen 125-Thomsen-nouveau and anti-Müllerian hormone combined with CA125, Human epididymis protein 4 and Risk of Malignancy Algorithm in diagnosis for patients with Epithelial ovarian cancer

OBJECTIVES

We examined the blood concentrations of Carbohydrate Antigen 125-Thomsen-nouveau (CA125-Tn) and anti-Müllerian hormone (AMH) in epithelial ovarian cancer (EOC) patients to evaluate their potential diagnostic utility together with CA125, human epididymis protein 4 (HE4) and Risk of Malignancy Algorithm (ROMA).

DESIGN & METHODS

50 healthy subjects, 45 EOC patients, 22 patients with borderline ovarian tumors (BOT), 21 patients with benign ovarian tumor (BET) and 45 patients with chocolate cyst of ovary (CCO) were studied. Blood levels of CA125, HE4, CA125-Tn and AMH were measured, and the ROMA value was calculated. We compared the differences in the levels of these biomarkers among groups. Additionally, a total of 10 testing strategies were established for comparison to maximize the diagnostic value.

RESULTS

The levels of CA125, HE4, CA125-Tn and ROMA value were significantly higher in EOC group compared with either the disease control (DC) group (BOT group, BET group and CCO group) or healthy control (HC) group (p < 0.001). In addition, they had better discriminatory performance with an area under the receiver operator characteristic curve (AUC) 0.93; 0.93; 0.93; 0.85, respectively (p < 0.001) compared with the AUC value of AMH 0.67 (p < 0.001). Among all 10 testing strategies, both single-positive of ROMA and double-positive of any 2 markers showed better Youden index (0.82, 0.79, respectively) and kappa value (κ) (0.82, 0.81, respectively).

CONCLUSIONS

CA125-Tn and AMH can be treated as useful biomarkers of EOC when combined with CA125, HE4 and ROMA, because when any two biomarkers of them are positive, the value of EOC diagnosis is maximized.

A Novel Score Using Lymphocyte-to-Monocyte Ratio in Blood and Malignant Body Fluid for Predicting Prognosis of Patients with Advanced Ovarian Cancer

(1) Background: The lymphocyte-to-monocyte ratio (LMR), one of the systemic inflammatory markers, has been shown to be associated with prognosis of various solid tumors. However, no study has reported clinical utility of the LMR of malignant body fluid (mLMR) (2) Methods: We retrospectively analyzed clinical data of the final 92 patients of a total of 197 patients with advanced ovarian cancer newly diagnosed from November 2015 and December 2021 using our institute big data. (3) Results: Patients were divided into three groups according to their combined bLMR and mLMR scores (bmLMR score): 2, both bLMR and mLMR were elevated; 1, bLMR or mLMR was elevated; and 0, neither bLMR nor mLMR was elevated. A multivariable analysis confirmed that the histologic grade (p = 0.001), status of residual disease (p < 0.001), and bmLMR score (p < 0.001) were independent predictors of disease progression. A low combined value of bLMR and mLMR was strongly associated with a poor prognosis in patients with ovarian cancer. (4) Conclusions: Although further studies are required to apply our results clinically, this is the first study to validate the clinical value of mLMR for predicting prognosis of patients with advanced ovarian cancer.

Dynamic Prediction of Resectability for Patients with Advanced Ovarian Cancer Undergoing Neo-Adjuvant Chemotherapy: Application of Joint Model for Longitudinal CA-125 Levels

In patients with advanced ovarian cancer (AOC) receiving neoadjuvant chemotherapy (NAC), predicting the feasibility of complete interval cytoreductive surgery (ICRS) is helpful and may avoid unnecessary laparotomy. A joint model (JM) is a dynamic individual predictive model. The aim of this study was to develop a predictive JM combining CA-125 kinetics during NAC with patients' and clinical factors to predict resectability after NAC in patients with AOC. A retrospective study included 77 patients with AOC treated with NAC. A linear mixed effect (LME) sub-model was used to describe the evolution of CA-125 during NAC considering factors influencing the biomarker levels. A Cox sub-model screened the covariates associated with resectability. The JM combined the LME sub-model with the Cox sub-model. Using the LME sub-model, we observed that CA-125 levels were influenced by the number of NAC cycles and the performance of paracentesis. In the Cox sub-model, complete resectability was associated with Performance Status (HR = 0.57, [0.34-0.95], p = 0.03) and the presence of peritoneal carcinomatosis in the epigastric region (HR = 0.39, [0.19-0.80], p = 0.01). The JM accuracy to predict complete ICRS was 88% [82-100] with a predictive error of 2.24% [0-2.32]. Using a JM of a longitudinal CA-125 level during NAC could be a reliable predictor of complete ICRS.

Biomarkers for Early Diagnosis of Ovarian Carcinoma

The leading cause of gynecological cancer-related morbidity and mortality is ovarian cancer (OC), which is dubbed a silent killer. Currently, OC is a target of intense biomarker research, because it is often not discovered until the disease is advanced. The goal of OC research is to develop effective tests using biomarkers that can detect the disease at the earliest stages, which would eventually decrease the mortality, thereby preventing recurrence. Therefore, there is a pressing need to revisit the existing biomarkers to recognize the potential biomarkers that can lead to efficient predictors for the OC diagnosis. This Perspective covers an update on the currently available biomarkers used in the triaging of OC to gain certain insights into the potential role of these biomarkers and their estimation that are crucial to the understanding of neoplasm progression, diagnostics, and therapy.

Prognostic Value of Elevated Pre-treatment Serum CA-125 in Epithelial Ovarian Cancer: A Meta-Analysis

Background

CA-125 is a clinical biomarker with predictive effect on the prognosis of different cancers. Numerous clinical trials have been conducted to investigate the possibility of using the pretreatment level of CA-125 to predict the prognosis of epithelial ovarian cancer (EOC). However, its value in predicting prognosis remains controversial. The purpose of this meta-analysis was to assess the predictive value of pretreatment CA-125 levels for prognosis in EOC patients.

Methods

We searched the EMBASE, Cochrane library, PubMed and Web of Science databases for studies published up to 3 December 2021, according to specific inclusion and exclusion criteria. The clinical studies that were included investigated the relationship between pretreatment CA-125 levels and ovarian cancer prognosis. Combined hazard ratios (HR) of overall survival (OS) and progression-free survival (PFS) reported in the studies were compared and analyzed using fixed-effects/random-effects models. Sensitivity analysis was used to assess study stability, while Egger’s and Begg’s tests were used to assess publication bias.

Results

This meta-analysis included 23 studies published in 2004 - 2021 with a total of 10,594 EOC patients. Comprehensive analysis demonstrated that the serum level of CA-125 before treatment was significantly correlated with overall survival (OS: HR=1.62, 95%CI=1.270-2.060, p<0.001) and progression-free survival (PFS: HR=1.59, PFS: HR=1.59, 95%CI=1.44~1.76, p<0.001). After comparing data from different FIGO stages and treatments, we discovered that a high pre-treatment serum CA-125 level was associated with a low survival rate.

Conclusion

According to the results of this study, a higher pre-treatment serum CA-125 level is associated with poor survival outcomes, which can be utilized to predict the prognosis of EOC patients. Pre-treatment serum CA-125 level might provide reliable basis for predicting the risk of EOC disease progression. This study is registered with the International Prospective Register of Systematic Reviews (CRD42022300545).

Systematic Review Registration

https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=300545, identifier [CRD42022300545].

Evaluation of patients with advanced epithelial ovarian cancer before primary treatment: correlation between tumour burden assessed by [18F]FDG PET/CT volumetric parameters and tumour markers HE4 and CA125

OBJECTIVES

Accurate assessment of disease extent is required to select the best primary treatment for advanced epithelial ovarian cancer patients. Estimation of tumour burden is challenging and it is usually performed by means of a surgical procedure. Imaging techniques and tumour markers can help to estimate tumour burden non-invasively. 2-[¹⁸F]FDG PET/CT allows the evaluation of the whole-body disease. This study aimed to correlate HE4 and CA125 serum concentrations with tumour burden evaluated by volumetric 2-[¹⁸F]FDG PET/CT parameters in advanced high-grade epithelial ovarian cancer.

METHODS

We included 66 patients who underwent 2-[¹⁸F]FDG PET/CT and serum tumour markers determination before primary treatment. Volumes of interest were delimited in every pathological uptake. Whole-body metabolic tumour volume (wb_MTV) and total lesion glycolysis (wb_TLG) were calculated summing up every VOI's MTV value. SUVmax thresholds were set at 40% (MTV40 and TLG40) and 50% (MTV50 and TLG50). In addition, four VOI subgroups were defined: peritoneal carcinomatosis, retroperitoneal nodes, supradiaphragmatic nodes, and distant metastases. MTV and TLG were calculated for each group by adding up the corresponding MTV values. TLG was calculated likewise.

RESULTS

wb_MTV and wb_TLG were found to be significantly correlated with serum CA125 and HE4 concentrations. The strongest correlation was observed between HE4 and wb_MTV40 (r = 0.62, p < 0.001). Pearson's correlation coefficients between peritoneal carcinomatosis MTV40 and tumour markers were 0.61 (p < 0.0001) and 0.29 (p = 0.02) for HE4 and CA125 respectively. None of these tumour markers showed a positive correlation with tumour load outside the abdominal cavity assessed by volumetric parameters.

CONCLUSION

HE4 performs better than CA125 to predict metabolic tumour burden in high-grade epithelial ovarian cancer before primary treatment. 2-[18F]FDG PET/CT volumetric parameters arise as feasible tools for the objective assessment of tumour load and its anatomical distribution. These results support the usefulness of HE4 and PET/CT to improve the stratification of these patients in clinical practice.

KEY POINTS

• In patients with high-grade advanced ovarian epithelial carcinoma, both CA125 and HE4 correlate to whole-body tumour burden assessed by PET/CT before primary treatment. • HE4 estimates peritoneal disease much better than CA125. • PET/CT volumetric parameters arise as feasible tools for the objective assessment of tumour load and its anatomical distribution.

The role of the tumor primary chemosensitivity relative to the success of the medical-surgical management in patients with advanced ovarian carcinomas

In patients with advanced ovarian carcinomas, the first-line treatment has historically relied on debulking surgery and platinum-based chemotherapy. If the major therapeutic/prognostic role of the surgery part is well understood, and integrated in disease-management algorithms, the impact of chemotherapy efficacy has been insufficiently addressed. This review describes the main indicators of the chemosensitivity reported in the literature (pathological response score & biomarkers; genomic alterations; DNA scars; imaging; and circulating tumor markers), and investigates the respective roles of the debulking surgery and tumor primary chemosensitivity relative to the success of the comprehensive medical-surgical treatment. The tumor primary chemosensitivity exhibits a major independent prognostic impact on the feasibility of complete interval debulking surgery after neoadjuvant chemotherapy, risk of subsequent platinum-resistant relapse, efficacy of subsequent maintenance therapies with bevacizumab or PARP inhibitors, progression-free survival, overall and long-term survival. While both the completeness of the surgery and the tumor primary chemosensitivity are undoubtedly major prognostic factors, the impact of the surgery may differ according to the primary chemosensitivity. This assumption raises a potential new concept: in patients with advanced ovarian carcinomas, the maximum tumor debulking should ideally be both biological (induced by systemic treatments) and physical (induced by surgery) for maximizing patient survival. Besides BRCA and HRD biomarkers, future trials and algorithms may integrate indicator(s) of the tumor primary chemosensitivity for guiding more subtly the surgical and medical management in first-line setting. Moreover, such a parameter would help in the development of novel approaches meant to reverse the resistance to chemotherapy and PARP inhibitors.

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.

Emerging Trends in Neoadjuvant Chemotherapy for Ovarian Cancer

Simple Summary

Epithelial ovarian cancer is one of the most lethal cancers in women and is typically diagnosed at an advanced-stage. Historically, primary tumor reductive surgery was attempted followed by postoperative chemotherapy in most patients diagnosed with advanced ovarian cancer. However, neoadjuvant chemotherapy followed by interval tumor reductive surgery is an alternative approach for patients with advanced-stage ovarian cancer where primary tumor reductive surgery is not feasible. Here, we review proposed models that can assist in selecting patients who would benefit most from neoadjuvant chemotherapy followed by surgery.

Abstract

Epithelial ovarian cancer remains a leading cause of death amongst all gynecologic cancers despite advances in surgical and medical therapy. Historically, patients with ovarian cancer underwent primary tumor reductive surgery followed by postoperative chemotherapy; however, neoadjuvant chemotherapy followed by interval tumor reductive surgery has gradually become an alternative approach for patients with advanced-stage ovarian cancer for whom primary tumor reductive surgery is not feasible. Decision-making about the use of these approaches has not been uniform. Hence, it is essential to identify patients who can benefit most from neoadjuvant chemotherapy followed by interval tumor reductive surgery. Several prospective and retrospective studies have proposed potential models to guide upfront decision-making for patients with advanced ovarian cancer. In this review, we summarize important decision-making models that can improve patient selection for personalized treatment. Models based on clinical factors (clinical parameters, radiology studies and laparoscopy scoring) and molecular markers (circulating and tumor-based) are useful, but laparoscopic staging is among the most informative diagnostic methods for upfront decision-making in patients medically fit for surgery. Further research is needed to explore more reliable models to determine personalized treatment for advanced epithelial ovarian cancer.

Role of Human Epididymis Protein 4 (HE4) in Determining Survival of Patients With Endometrial Cancer: A Meta-Analysis

BACKGROUND

Human epididymis protein 4 (HE4) is a novel cancer biomarker. This study evaluates the prognostic role of HE4 in determining the survival of endometrial cancer patients.

METHODS

Literature search was conducted in electronic databases (Embase, Ovid, PubMed, Scopus, and Web of Science). Studies were selected if they reported the relationship between HE4 and the survival of endometrial cancer patients. Random-effects meta-analyses were performed to achieve estimates of baseline serum HE4 levels, the 5-year survival with high and low serum HE4 levels/expression, and the hazard ratios (HRs) of the survival between patients with high and low serum HE4 levels.

RESULTS

9 studies (1404 patients; age 63.1 years [95% confidence interval (CI): 61.2, 64.9]; follow-up 35.9 months [95% CI: 32.2, 39.6]) were included. In these patients, serum HE4 levels were 83.36 picomole/liter (pM) [95% CI: 70.15, 96.56] overall but these were higher in patients with recurrence (108.13 pM [95% CI: 63.09, 153.18] and lower in patients with no recurrence (67.88 pM [95% CI: 65.09, 70.67]). The 5-year overall survival rate was higher in patients with low HE4 levels/expression (86% [95% CI: 79, 92] but lower in patients with high HE4 levels/expression (63% [95% CI: 58, 68]. A pooled HR of survival between patients with high and low serum HE4 levels of 2.25 [95% CI: 1.56, 2.94] indicated shorter survival in patients with high serum HE4 levels.

CONCLUSION

High HE4 concentrations in patients with endometrial cancer are found to be associated with shorter survival.

Combined Preoperative LMR and CA125 for Prognostic Assessment of Ovarian Cancer

Objectives: To investigate the role of inflammation-related factors, lymphocyte-to-monocyte ratio (LMR) alone and combined detection with cancer antigen 125 (CA125), in the prognostic assessment of ovarian cancer (OC). Methods: A retrospective clinicopathologic review was performed. The receiver-operating characteristic (ROC) curves of LMR, CA125, and COLC predicting mortality in OC patients were constructed. Besides, Kaplan-Meier and Cox logistic regression models were used to plot the survival curves and determine the independent prognostic factors. Results: A total of 214 OC patients were identified in this cohort. The mean duration of follow-up was 64 months (minimum 8 months, maximum 116 months). In this cohort, 135 cases died (63.1%), and the median progression-free survival (PFS) and overall survival (OS) were 20 and 39.5 months, respectively. Results of the multivariate Cox regression model showed that LMR≤3.8 (HR = 0.494, 95% CI: 0.329-0.742, P = 0.001) and CA125>34 U/ml (HR = 1.641, 95% CI: 1.057-2.550, P = 0.027) were significantly associated with poor PFS; and LMR≤3.8 (HR = 0.459, 95% CI: 0.306-0.688, P = <0.001) and CA125>34 U/ml (HR = 1.946, 95% CI: 1.256-3.015, P = 0.003) were significantly associated with OS. Furthermore, the area under the curve of COLC was higher (0.713) than that of LMR (0.709) or CA125 (0.583), the specificity of COLC was higher (75.9%) than that of LMR (62%) or CA125 (40.5%) in predicting mortality in OC patients. Conclusions: LMR alone and combined with CA125 might be used as predictive markers in OC. Furthermore, as a prognostic factor, COLC might have a higher specificity to predict the outcome.

Is HE4 Superior over CA-125 in the Follow-up of Patients with Epithelial Ovarian Cancer?

Notwithstanding important advances in the treatment of epithelial ovarian cancer (EOC), this disease is still a leading cause of global high mortality from gynecological malignancies. Recurrence in EOC is inevitable and it is responsible for poor survival rates. There is a critical need for novel effective biomarkers with improved accuracy compared to the standard carbohydrate antigen-125 (CA-125) for follow-up. The human epididymis protein 4 (HE4) is used for early detection of EOC (ROMA algorithm) as well as for predicting optimal cytoreduction after neoadjuvant chemotherapy and survival outcomes. Notably, the emerging HE4 is a promising prognostic biomarker that has displayed better accuracy in various recent studies for detecting recurrent disease. In this mini-review, we discussed the potential of HE4 as an accurate predictor of EOC recurrence.

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.

An update on preoperative assessment of the resectability of advanced ovarian cancer

The best prognosis for advanced ovarian cancer is provided by no residual disease after primary cytoreductive surgery. It is thus important to be able to predict resectability that will result in complete cytoreduction, while avoiding unnecessary surgery that may leave residual disease. No single procedure appears to be sufficiently accurate and reliable to predict resectability. The process should include a preoperative workup based on clinical examination, biomarkers, especially tumor markers, and imaging, for which computed tomography, as well as sonography, magnetic resonance imaging and positron-emission tomography, can be used. This workup should provide sufficient information to determine whether complete cytoreduction is possible or if not, to propose neoadjuvant chemotherapy which is preferable in this case. For the remaining patients, laparoscopy is broadly recommended as an ultimate triage step. However, its modalities are still debated, and several scores have been proposed for standardization and improving accuracy. The risk of false negatives requires a final assessment of resectability as the first stage of cytoreductive surgery by laparotomy. Composite models, consisting of several criteria of workup and, sometimes, laparoscopy have been proposed to improve the accuracy of the predictive process. Regardless of the modality, the process appears to be accurate and reliable for predicting residual disease but less so for predicting complete cytoreduction and thus avoiding unnecessary surgery and an inappropriate treatment strategy. Overall, the proposed procedures are heterogeneous, sometimes unvalidated, or do not consider advances in surgery. Future techniques and/or models are still needed to improve the prediction of complete resectability.

Performance of preoperative plasma tumor markers HE4 and CA125 in predicting ovarian cancer mortality in women with epithelial ovarian cancer

Clinical utility of new biomarkers often requires the identification of their optimal threshold. This external validation study was conducted to assess the performance of the preoperative plasma tumor markers HE4 and CA125 optimal cut-offs to predict cancer mortality in women with epithelial ovarian cancer (EOC). Participating women had upfront debulking surgery in the University Hospital of Quebec City (Canada) between 1998 and 2013. A total of 136 women participated in the training cohort (cohort 1) and 177 in the validation cohort (cohort 2). Preoperative plasma HE4 and CA125 levels were measured by Elecsys. Optimal thresholds were identified in the cohort 1 using time-dependent receiver operating characteristic (ROC) curves. Multivariate Cox models were used to validate the biomarkers using their optimal cut-offs in the cohort 2. The likelihood ratio (LR) test was done to test whether the biomarkers added prognostic information beyond that provided by standard prognostic factors. The Areas Under the Curves (AUC) for HE4 and CA125 were respectively 64.2 (95% CI: 54.7-73.6) and 63.1 (95%CI: 53.6-72.6). The optimal thresholds were 277 pmol/L for HE4 and 282 U/ml for CA125. Preoperative plasma HE4 (≥277 pmol/L) was significantly associated with EOC mortality (adjusted hazard ratio (aHR): 1.90; 95% CI:1.09-3.29). The prognostic effect of HE4 was strongest in the subgroup of women with serous ovarian cancer (aHR: 2.42; 95% CI: 1.25-4.68). Using a multivariate model including all standard prognostic factors, this association was maintained (aHR: 2.21; 95% CI: 1.15-4.23). In addition, preoperative plasma HE4 added prediction for death over the standard prognostic markers in women with serous tumors (p-value for LR-test: 0.01). Preoperative CA125 was not associated with cancer mortality, both in women with EOC and in those with serous tumors. Preoperative HE4 is a promising prognostic biomarker in EOC, especially in serous tumor.

Comparison of diagnostic values between CA125 combined with CA199 and ultrasound combined with CT in ovarian cancer

Application values of CA125 combined with CA199 and ultrasound combined with computed tomography (CT) in the clinical diagnosis of ovarian cancer were compared. A retrospective analysis was performed on 168 ovarian cancer patients admitted to the Department of Gynecology in Jining No.1 People's Hospital from July 2013 to March 2016. Of the patients 107 with malignant tumors were in the malignant group, and 61 patients with benign tumors were in the benign group. Another 98 healthy controls in the same period were in the normal group. Chemiluminescence was used for the detection of levels of tumor markers CA125 and CA199 in the serum of all patients. CA125 combined with CA199 and color Doppler ultrasound combined with CT scan were used to diagnose and analyze the sensitivity, specificity, accuracy, and positive detection rate of ovarian cancer patients at different stages. The sensitivity, specificity and diagnostic coincidence rate of ultrasound combined with CT in the diagnosis of ovarian cancer were 97.20, 80.32 and 91.07%, respectively, which were significantly higher than the 92.52, 73.77 and 85.71% of serum CA125 combined with CA199. The positive detection rate of ultrasound combined with CT in the early diagnosis of ovarian cancer was 93.55%, higher than 83.87% of CA125 combined with CA199. The sensitivity, specificity, coincidence rate and positive detection rate of ultrasound combined with CT in the diagnosis were higher than those of CA125 combined with CA199. In the actual diagnosis process, these two diagnostic schemes can be selectively and comprehensively applied, so as to make a correct diagnosis, which is of great significance for reducing patient mortality.

[Diagnostic and prognostic value of tumor markers, scores (clinical and biological) algorithms, in front of an ovarian mass suspected of an epithelial ovarian cancer: Article drafted from the French Guidelines in oncology entitled "Initial management of patients with epithelial ovarian cancer" developed by FRANCOGYN, CNGOF, SFOG, GINECO-ARCAGY under the aegis of CNGOF and endorsed by INCa]

OBJECTIVES

To evaluate the diagnostic value of serum/urinary biomarkers and the operability diagnosis strategy to make management recommendations.

METHODS

Bibliographical search in French and English languages by consultation of Pubmed, Cochrane and Embase databases.

RESULTS

For the diagnosis of a suspicious adnexal mass on imaging: Serum CA125 antigen is recommended (grade A). Serum CAE is not recommended (grade C). The low evidence in literature concerning diagnostic value of CA19.9 does not allow any recommendation concerning its use. Serum Human epididymis protein 4 (HE4) is recommended (grade A). Comparison of data concerning diagnosis value of CA125 and HE4 show similar results for the prediction of malignancy in case of a suspicious adnexal mass on imaging (NP1). Urinary HE4 is not recommended (grade A). The use of circulating tumor DNA is not recommended (grade A). Tumor associated antigen-antibodies (AAbs) is not recommended (grade B). The use of ROMA score (Risk of Ovarian Malignancy Algorithm) is recommended (grade A). The use of Copenhagen index (CPH-I), R-OPS score, OVA500 is not recommended (grade C). For the prediction of resectability of an ovarian cancer with peritoneal carcinomatosis in the context of a primary debulking surgery: It is not recommendend to use serum CA125 (grade A). The low evidence in literature concerning diagnostic value of HE4 does not allow any recommendation concerning its use in this context. No recommendation can be given concerning CA19.9 and CAE. For the prediction of resectability of an ovarian cancer with peritoneal carcinomatosis in the context of surgery after neoadjuvant chemotherapy: the low evidence in literature concerning diagnostic value of serum markers in this context does not allow any recommendation concerning their use in this context. Place of laparoscopy for the prediction of resectability in case of upfront surgery of an ovarian cancer with peritoneal carcinomatosis robust data shows that the use of laparoscopy significantly reduce futile laparotomies (LE1). Laparoscopy is recommended in this context (grade A). Fagotti score is a reproducible tool (LE1) permitting the evaluation of feasibility of an optimal upfront debulking (NP4), its use is recommended (grade C). A Fagotti score≥8 is correlated to a low probability of complete or optimal debulking surgery (LE4) (grade C). There is no sufficient evidence to recommend the use of the modified Fagotti score or any other laparoscopic score (LE4). In case of laparotomy for an ovarian cancer with peritoneal carcinomatosis, the use of Peritoneal Cancer Index (PCI) is recommended (grade C). For the prediction of overall survival, disease free survival and the prediction of postoperative complications, the clinical and statistical of actually available tools do not allow any recommendation.

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.

Prognostic Value of Serum CA19-9 and Perioperative CA-125 Levels in Ovarian Clear Cell Carcinoma

BACKGROUND

There are no effective biomarkers for surveillance in ovarian clear cell carcinoma (OCCC), and the value of carbohydrate antigen 125 (CA-125) is limited. We sought to determine the value of both carbohydrate antigen 19-9 (CA19-9) and CA-125 levels postoperatively on the prognosis for OCCC.

METHODS

A total of 130 patients with OCCC who were consecutively treated by cytoreduction at Fudan University Shanghai Cancer Center were reviewed retrospectively. Univariate log-rank analyses and Cox regression multivariate analyses were performed to identify predictors of recurrence-free (RFS) and overall survival (OS) rates.

RESULTS

The survival in patients with postoperative normalization of CA-125 was significantly better than those with decreased but still elevated CA-125 (5-year RFS rates, 57.9% vs 45.2%, P = 0.046; 5-year OS rates, 81.4% vs 54.4%, P = 0.016), or those with increased CA-125 (5-year RFS rates, 57.9% vs 29.2%, P = 0.001; 5-year OS rates, 81.4% vs 33.6%, P < 0.001). An elevated level of postoperative CA-125 level was an independent risk factor for recurrence and survival [RFS: hazard ratio (HR), 2.2; P = 0.033; OS: HR, 4.3; P = 0.019]. Elevated postoperative CA19-9 was an independent risk factor for both RFS and OS in patients with normal postoperative CA-125 levels (RFS: HR, 5.0; P = 0.005; OS: HR, 1.1; P = 0.035).

CONCLUSIONS

Combining postoperative CA19-9 and CA-125 appeared to be of great clinical value for prognosis in patients with OCCC after initial debulking.

A predictive score for optimal cytoreduction at interval debulking surgery in epithelial ovarian cancer: a two- centers experience

Background

Optimal cytoreduction (macroscopic Residual Tumor, RT = 0) is the best survival predictor factor in epithelial ovarian cancer (EOC). It doesn’t exist a consolidated criteria to predict optimal surgical resection at interval debulking surgery (IDS). The aim of this study is to develop a predictive model of complete cytoreduction at IDS.

Methods

We, retrospectively, analyzed 93 out of 432 patients, with advanced EOC, underwent neoadjuvant chemotherapy (NACT) and IDS from January 2010 to December 2016 in two referral cancer centers. The correlation between clinical-pathological variables and residual disease at IDS has been investigated with univariate and multivariate analysis. A predictive score of cytoreduction (PSC) has been created by combining all significant variables. The performance of each single variable and PSC has been reported and the correlation of all significant variables with progression free survival (PFS) has been assessed.

Results

At IDS, 65 patients (69,8%) had complete cytoreduction with no residual disease (R = 0). Three criteria independently predicted R > 0: age ≥ 60 years (p = 0.014), CA-125 before NACT > 550 UI/dl (p = 0.044), and Peritoneal Cancer Index (PCI) > 16 (p < 0.001). A PSC ≥ 3 has been associated with a better accuracy (85,8%), limiting the number of incomplete surgeries to 16,5%. Moreover, a PCI > 16, a PSC ≥ 3 and the presence of R > 0 after IDS were all significantly associated with shorter PFS (p < 0.001, p < 0.001 and p = 0.004 respectively).

Conclusions

Our PSC predicts, in a large number of patients, complete cytoreduction at IDS, limiting the rate of futile extensive surgeries in case of presence of residual tumor (R > 0). The PSC should be prospectively validated in a larger series of EOC patients undergoing NACT-IDS.

Evaluation of HE4 and TTR for diagnosis of ovarian cancer: Comparison with CA-125

OBJECTIVE

Serum human epididymis protein 4 (HE4) and transthyretin (TTR) are new markers for ovarian cancer. We compared HE4 and TTR with the gold marker CA-125 for the diagnosis of ovarian cancer patients.

METHODS

One hundred and thirty serum samples from benign ovarian tumor and 400 serum samples from healthy women were used to set up the cut-off. One hundred and twenty-six serum samples from ovarian cancer patients before operation were collected to test the diagnostic value of these ELISA assays. The sensitivity, positive predictive value (PPV) and ROC curves were used to evaluate the diagnostic value.

RESULTS

For CA-125, the sensitivity and PPV were respectively 64.29% and 53.57% for stage I-II cancer patients, and respectively 91.43% and 88.57% for stage III-IV cancer patients. For HE4, the sensitivity and PPV were respectively 46.4% and 43.3% for stage I-II cancer patients, and respectively 88.6% and 49.2% for stage III-IV cancer patients. For TTR, the sensitivity and PPV were respectively 78.6% and 68.8% for stage I-II cancer patients, and respectively 82.9% and 74.3% for stage III-IV cancer patients. For CA125, the ROC was respectively 0.7941 and 0.9520 for stage I-II patients and stage III-IV patients. For HE4, the diagnostic value of ROC was 0.7071 for stage I-II cancer patients and 0.9250 for stage III-IV cancer patients. For TTR, the diagnostic value of ROC was 0.9112 for stage I-II cancer patients and 0.9322 for stage III-IV cancer patients.

CONCLUSION

Our results support that TTR is an efficient serum marker for the diagnosis of early stage ovarian cancer patients.

Measurement of HE4 and CA125 and establishment of reference intervals for the ROMA index in the sera of pregnant women

INTRODUCTION

Cancer antigen 125 (CA125) and human epididymis protein 4 (HE4) are biomarkers for ovarian cancer. Their specificity and sensitivity are often limited during pregnancy as a result of great fluctuations. The risk of ovarian malignancy algorithm (ROMA) score, which combines CA125, HE4, and menopausal status, may improve diagnostic performance. There are no reports regarding the ROMA index in pregnant women. Therefore, the aim of our study was to establish appropriate reference intervals (RIs) for the ROMA index in pregnant Chinese women and compare them with those of CA125 and HE4 during pregnancy.

METHODS

Serum concentrations of CA125 and HE4 were simultaneously measured in healthy pregnant women via electrochemiluminescence immunoassay (ECLIA). The ROMA index was calculated using premenopausal algorithms.

RESULTS

The RIs for the ROMA index calculated by premenopausal algorithms were substantially closer to the normal range in the first 2 trimesters. For pregnant women, the great misclassifications identified in CA125 may be reversed by the use of ROMA index.

CONCLUSIONS

We established the RIs for HE4 and CA125, as well as the ROMA index, in pregnant women at different gestational periods. The ROMA index is suggested to be a more promising tumor marker for pregnant women diagnosed with malignance.

KPNA2 is a potential diagnostic serum biomarker for epithelial ovarian cancer and correlates with poor prognosis

This study aimed to determine whether serum karyopherin alpha 2 levels can be used as a diagnostic biomarker for epithelial ovarian carcinoma. Karyopherin alpha 2 protein was detected by enzyme-linked immunosorbent assay in serum samples from 162 epithelial ovarian carcinoma patients and 48 healthy controls. Serum karyopherin alpha 2 levels in epithelial ovarian carcinoma patients were significantly higher than in healthy controls ( p < 0.001). When a karyopherin alpha 2 serum level of 2.52 µg/mL was used as a cut-off, the sensitivity and specificity of the assay for diagnosing epithelial ovarian carcinoma were 71.4% and 81.2%, respectively. High serum karyopherin alpha 2 levels (>485 µg/mL) correlated with International Federation of Gynecology and Obstetrics stage ( p < 0.0001), lymphatic metastasis ( p = 0.045), overall survival ( p = 0.001), and disease-free progression ( p = 0.006). Serum karyopherin alpha 2 represents a potential diagnostic biomarker for epithelial ovarian carcinoma.

Prediction of therapy response in ovarian cancer: Where are we now?

Therapy resistance is a major challenge in the management of ovarian cancer (OC). Advances in detection and new technology validation have led to the emergence of biomarkers that can predict responses to available therapies. It is important to identify predictive biomarkers to select resistant and sensitive patients in order to reduce important toxicities, to reduce costs and to increase survival. The discovery of predictive and prognostic biomarkers for monitoring therapy is a developing field and provides promising perspectives in the era of personalized medicine. This review article will discuss the biology of OC with a focus on targetable pathways; current therapies; mechanisms of resistance; predictive biomarkers for chemotherapy, antiangiogenic and DNA-targeted therapies, and optimal cytoreductive surgery; and the emergence of liquid biopsy using recent studies from the Medline database and ClinicalTrials.gov.