Comparative hybridization of an array of 21,500 ovarian cDNAs for the discovery of genes overexpressed in ovarian carcinomas

Modern Emerging Biosensing Methodologies for the Early Diagnosis and Screening of Ovarian Cancer

Ovarian cancer (OC) is one of the leading causes of gynecological cancer-related death worldwide. Late diagnosis at advanced stages of OC is the reason for a higher mortality rate. Earlier diagnosis and proper treatment are important for improving the prognosis of OC patients. Biosensors offer accurate, low-cost, rapid, and user-friendly devices that can be employed for the detection of OC-specific biomarkers in the early stage. Therefore, it is important to consider the potential biomarkers in the biological fluids to confirm the OC prognosis. Out of many biomarkers, the most commonly tested clinically is cancer antigen 125 (CA-125). However, CA-125 is considered to be a poor biomarker for OC diagnosis. Several biosensing methods were developed for the sensitive and quantitative detection of each biomarker. In abnormal expression in OC patients, nucleic acids, enzymes, cells, and exosomes are used as target biomarkers for the construction of biosensors. This review focuses on the development for the detection of various biomarkers using multiple biosensing methods. Here, we describe the origin and the significance of OC-associated biomarkers, the working principle of biosensors, and the classification of biosensors based on their recognition elements and signal transducers. The modes of detection and sensitivity of the sensors are discussed. Finally, the challenges in the fabrication, obstacles in the clinical application, and future prospects are discussed.

Early Detection of Ovarian Cancer Using Cell-Free DNA Fragmentomes and Protein Biomarkers

SIGNIFICANCE

There is an unmet need for effective ovarian cancer screening and diagnostic approaches that enable earlier-stage cancer detection and increased overall survival. We have developed a high-performing accessible approach that evaluates cfDNA fragmentomes and protein biomarkers to detect ovarian cancer.

Human epididymis protein 4: Analysis of national health and nutrition examination survey data

BACKGROUND

Human epididymis protein 4 (HE4) is a tumor marker overexpressed in ovarian cancer and is commonly utilized to aid with diagnosis of an adnexal mass. HE4 levels vary based on pregnancy, age, menopausal status, and tobacco use.

OBJECTIVE(S)

The objective of this study was to evaluate population-based data to examine factors that affect HE4 among adult women in the United States and stratify levels of HE4 by demographic and gynecologic factors.

STUDY DESIGN

A retrospective analysis was conducted using data from 2,480 women aged 20 + who participated in the National Health and Nutrition Examination Survey (2001-2002). From these cross-sectional data, serum HE4 and cotinine, a marker of tobacco exposure, were combined with demographic and interview data. Estimated glomerular filtration rates (eGFR) were based on serum creatinine, age, sex, and race. Other variables of interest included menopausal status, pregnancy, and various gynecologic factors. Summary HE4 data are provided as geometric means with associated 95 % confidence intervals.

RESULTS

HE4 levels were independently associated with age, renal function, and nicotine use, all p < 0.001. Pre-menopausal women with a history of endometriosis were found to have elevated HE4 levels compared to those without, p < 0.01; however, we found no such difference among post-menopausal women. Adjusting for age, no differences in HE4 were found based on race/ethnicity, p = 0.29. HE4 levels showed statistically significant associations with income level; however, these were small and clinically irrelevant.

CONCLUSION

This study provides evaluation of HE4 levels among a data set representative of 98.5 million non-institutionalized women in the United States and gives insight into extraneous factors that may influence these levels.

Extracellular vesicles as a potential delivery platform for CRISPR-Cas based therapy in epithelial ovarian cancer

Ovarian Cancer (OC) is the most common gynecological malignancy and the eighth most diagnosed cancer in females worldwide. Presently, it ranks as the fifth leading cause of cancer-related mortality among patients globally. Major factors contributing to the lethality of OC worldwide include delayed diagnosis, chemotherapy resistance, high metastatic rates, and the heterogeneity of subtypes. Despite continuous efforts to develop novel targeted therapies and chemotherapeutic agents, challenges persist in the form of OC resistance and recurrence. In the last decade, CRISPR-Cas-based genome editing has emerged as a powerful tool for modifying genetic and epigenetic mechanisms, holding potential for treating numerous diseases. However, a significant challenge for therapeutic applications of CRISPR-Cas technology is the absence of an optimal vehicle for delivering CRISPR molecular machinery into targeted cells or tissues. Recently, extracellular vesicles (EVs) have gained traction as potential delivery vehicles for various therapeutic agents. These heterogeneous, membrane-derived vesicles are released by nearly all cells into extracellular spaces. They carry a molecular cargo of proteins and nucleic acids within their intraluminal space, encased by a cholesterol-rich phospholipid bilayer membrane. EVs actively engage in cell-to-cell communication by delivering cargo to both neighboring and distant cells. Their inherent ability to shield molecular cargo from degradation and cross biological barriers positions them ideally for delivering CRISPR-Cas ribonucleoproteins (RNP) to target cells. Furthermore, they exhibit higher biocompatibility, lower immunogenicity, and reduced toxicity compared to classical delivery platforms such as adeno-associated virus, lentiviruses, and synthetic nanoparticles. This review explores the potential of employing different CRISPR-Cas systems to target specific genes in OC, while also discussing various methods for engineering EVs to load CRISPR components and enhance their targeting capabilities.

Revised Cut-Off Value of Human Epididymis Protein 4 Enhances Its Use as an Ovarian Tumor Marker

OBJECTIVES

Human epididymis protein 4 (HE4), a protein secreted by ovarian tumors, has been used as an ovarian tumor marker. This study aimed to improve the usefulness of HE4 to detect malignant ovarian tumors by reviewing the cut-off values.

DESIGN

A retrospective study without intervention was conducted.

PARTICIPANTS

One hundred forty-nine healthy women (premenopausal, 126; postmenopausal, 23) and 24 patients with ovarian tumors (malignant, 12; benign, 12) participated in the study.

SETTING

The study used the Department of Obstetrics and Gynecology of a university hospital in Japan and the university hospital as a workplace from 2016 to 2018.

METHODS

The basic performance of the HE4 assay was evaluated, and the serum HE4 levels of participants were measured. Receiver operating characteristic analysis was performed using the HE4 data of the patients.

RESULTS

There were no significant differences in HE4 levels between the pre- and postmenopausal groups of healthy women. When the global cut-off values (premenopausal, 70 pmol/L; postmenopausal, 140 pmol/L) were adopted, the clinical sensitivity, specificity, positive predictive value, and negative predictive value were 41.7%, 91.7%, 83.3%, and 61.1%, respectively. Based on the results of the receiver operating characteristic analysis, we set the HE4 cut-off level at 60 pmol/L, regardless of the menopausal status. With the newly set cut-off value, the clinical sensitivity, specificity, positive predictive value, and negative predictive value were 66.7%, 91.7%, 88.9%, and 73.3%, respectively. That is, the clinical sensitivity of HE4 was improved without lowering specificity.

LIMITATIONS

The small number of subjects and the fact that the health status of the healthy women was evaluated based on questionnaires were limitations to the study.

CONCLUSION

A clinically useful cut-off value for HE4 as an ovarian tumor marker was established regardless of the menopausal status of the women, with improved clinical sensitivity, positive predictive value, and negative predictive value without lowering specificity. Currently, different cut-off values for HE4 in pre- and postmenopausal women are used globally. The cut-off value for CA125 was the same between pre- and postmenopausal women. Therefore, with the newly established cut-off value, HE4 can be used more conveniently in a non-specialized setting, especially when it is used in combination with CA125.

An omics data analysis method based on feature linear relationship and graph convolutional network

Biological networks are known to be highly modular, and the dysfunction of network modules may cause diseases. Defining the key modules from the omics data and establishing the classification model is helpful in promoting the research of disease diagnosis and prognosis. However, for applying modules in downstream analysis such as disease states discrimination, most methods only utilize the node information, and ignore the node interactions or topological information, which may lead to false positives and limit the model performance. In this study, we propose an omics data analysis method based on feature linear relationship and graph convolutional network (LCNet). In LCNet, we adopt a way of applying the difference of feature linear relationships during disease development to characterize physiological and pathological changes and construct the differential linear relation network, which is simple and interpretable from the perspective of feature linear relationship. A greedy strategy is developed for searching the highly interactive modules with a strong discrimination ability. To fully utilize the information of the detected modules, the personalized sub-graphs for each sample based on the modules are defined, and the graph convolutional network (GCN) classifiers are trained to predict the sample labels. The experimental results on public datasets show the superiority of LCNet in classification performance. For Breast Cancer metabolic data, the identified metabolites by LCNet involve important pathways. Thus, LCNet can identify the module biomarkers by feature linear relationship and a greedy strategy, and label samples by personalized sub-graphs and GCN. It provides a new manner of utilizing node (molecule) information and topological information in the defined modules for better disease classification.

HE4 overexpression in mice leads to leydig cell hyperplasia and spermatogensis impairment: Pathological implications for oligospermia

Previous studies have shown that HE4 cancer biomarker promoted cancer cell proliferation and tumor growth in mouse xenograft models. Interestingly, HE4 levels are significantly increased in the seminal plasma of oligoasthenospermia patients, raising a question on HE4 role(s) in spermatogenesis. We constructed an HE4 overexpression mouse model (HE4-OE), and observed that HE4-OE male adult mice had small testes, low sperm counts, and elevated serum/testis testosterone levels. These mice exhibited disorganized seminiferous tubules and impaired spermatogenesis. HE4 overexpression concentrated in Leydig cells, and these cells had hyperplasia and increased testosterone biosynthesis. Mechanistic studies indicated that the impaired spermatogenesis was likely caused by a local and direct action of HE4 in the testis rather than by a hypothalamus/pituitary-initiated dysregulation. The new findings reveal a novel HE4 function in male reproductive system, and suggest the existence of a subtype of primary oligoasthenospermia characterized by HE4 overexpression, Leydig cell hyperplasia, and elevated testosterone levels.

Significantly elevated serum human epididymis protein-4 in chronic kidney disease patients without ovarian cancer: A large-scale retrospective study

BACKGROUNDS

Human epididymis protein-4 (HE-4) is a commonly used biomarker for diagnosing ovarian cancer. Elevated HE-4 has also been observed in various benign conditions including chronic kidney disease (CKD); however, generalizability and statistical power of previous studies have been limited by small sample sizes.

MATERIALS AND METHODS

We conducted a retrospective study that included 80 pathologically confirmed ovarian cancer patients, 641 CKD patients, and 2661 healthy controls. Serum HE-4 and several renal function parameters were collected and compared between the three groups. Correlation analysis was conducted to evaluate the relationship between HE-4 and renal function parameters. A receiver operating characteristic curve was established to evaluate its diagnostic performance.

RESULTS

CKD patients had the highest levels of HE-4, with a median of 193.00 pmol/L, while the median in ovarian cancer patients was 90.82 pmol/L. HE-4 levels also increased with CKD progression, and Spearman's rank correlation showed that HE-4 had a strong correlation with renal function parameters in CKD patients. Furthermore, HE-4 exhibited a satisfactory diagnostic performance in both differentiating CKD patients and controls as well as stage 2 CKD patients and controls.

CONCLUSION

HE-4 can be used as an alternative biomarker for diagnosing CKD as it is less affected by several preanalytical factors. Nevertheless, in clinical practice, elevated HE-4 requires taking both CKD and ovarian cancer into consideration.

The role of urine and serum biomarkers in the early detection of ovarian epithelial tumours

Ovarian cancer (OC) is one of the leading causes of gynaecological cancer mortality in women worldwide. If detected at an early stage (I, II), OC has a 90% 5-year survival rate; nevertheless, symptoms are often hidden, leading to late-stage (III, IV) diagnosis and a poor prognosis. The current diagnostic procedures, such as a pelvic exam, transvaginal ultrasound, CA-125 blood tests, serum HE4 tests and multivariate index assays (MIA), are insufficient. Sadly, surgery is frequently required to confirm a positive diagnosis. Therefore, there has been an increased interest in different biomarkers using a non-invasive test as a tool for the earlier diagnosis of OC to resolve the need for precise and non-invasive diagnostic methods. This review article aims to investigate how biomarkers influence early OC detection and to emphasise the role of using a combination of serum biomarkers panel rather than a single biomarker. In addition, this review provides insights into the current serum biomarkers, urine biomarkers and other emerging biomarkers in the early detection of OC for better specificity and sensitivity and to improve the overall survival (OS) rate.

Applications of Proteomics in Ovarian Cancer: Dawn of a New Era

The ability to identify ovarian cancer (OC) at its earliest stages remains a challenge. The patients present an advanced stage at diagnosis. This heterogeneous disease has distinguishable etiology and molecular biology. Next-generation sequencing changed clinical diagnostic testing, allowing assessment of multiple genes, simultaneously, in a faster and cheaper manner than sequential single gene analysis. Technologies of proteomics, such as mass spectrometry (MS) and protein array analysis, have advanced the dissection of the underlying molecular signaling events and the proteomic characterization of OC. Proteomics analysis of OC, as well as their adaptive responses to therapy, can uncover new therapeutic choices, which can reduce the emergence of drug resistance and potentially improve patient outcomes. There is an urgent need to better understand how the genomic and epigenomic heterogeneity intrinsic to OC is reflected at the protein level, and how this information could potentially lead to prolonged survival.

Prognostic Significance of HE4 Tissue Expression in Serous Epithelial Ovarian Carcinoma

Background Human Epididymis protein 4 (HE4) is expressed in ovarian cancer. Preoperative serum testing is still not widely available. This pilot study aimed to investigate the magnitude of expression of HE4 in tissue sections of serous epithelial ovarian carcinoma, its correlation with clinical outcome, and the feasibility of HE4 immunohistochemistry as a prognostic marker.

Materials and Method In this ambispective study, immunohistochemistry (IHC) was used to evaluate tissue sections of ovarian serous epithelial carcinoma at primary cytoreductive surgery. On HE4 immunohistochemistry (IHC), the magnitude of HE4 expression was assessed categorically as high or low HE4 expression and semiquantitatively by the H-score, and correlated with clinical outcome in terms of survival status, progression-free survival, and overall survival.

Results Of 32 cases, most (n = 31, 96.8%) were positive for HE4 IHC. The mean age was 49 ± 8.2 years; 29 (90.6%) patients were in FIGO stage IIIC; 25 (78.9%) had ≥1cm residual disease after surgery; 31 (96.8%) received adjuvant chemotherapy, either 3-weekly (n = 25, 81.2%) or dose-dense weekly (n = 6, 18.8%) regimen. The majority (n = 31, 96.8%) had a high-grade tumor, of whom 19 (59.4%) had high HE4 expression and 13(40.6%) patients had H-score in the range of 5 to 8. The mean H-score was 6.97 ± 3.61 (range 0 to 12). The overall survival of the study population at 64 months was 36.65% (95% CI: 8.59–66.34), with median overall survival of 59 months. A new scoring system was developed combining categorical HE4 expression and serum CA-125 levels; the combination of HE4 expression with postoperative CA-125 levels was found to be the best prognostic marker for overall survival (p = 0.05). A composite score of 2 identified patients with poor progression-free survival (HR 4.64, p = 0.039) and overall survival (HR 5.45, p = 0.05).

Conclusion The new composite scoring system using HE4 IHC with postoperative serum CA-125 levels offers an extremely useful option for prognosticating patients with serous epithelial ovarian carcinoma than serum CA-125 alone. This is useful where preoperative records are not available to the treating clinician.

Biomarkers in Ovarian Pathology: From Screening to Diagnosis. Review of the Literature

Background: Ovarian cancer has a low incidence, but high mortality due to a habitual diagnosis in advanced cancer stages. Currently, used biomarkers have good sensitivity, but low specificity. Aim: To determine the usefulness of the biomarkers and algorithms used up to now in the screening, diagnosis, response to treatments and identification of recurrence in patients with ovarian masses. Methodology: Systematic search of publications in English in the Medline-PubMed database with the terms: “biomarkers”, “tumour”, “tumour biomarkers”, “marker”, “tumour marker”, “ovarian cancer”, “ovarian”, “Neoplasms”, “cancer”, CA-125 Antigen; Human Epididymis-specific Protein E4; Risk of Malignancy Index (RMI); Risk of Ovarian Malignancy Algorithm (ROMA); Ovarian Neoplasms. Original articles, clinical trials, reviews, systematic reviews and meta-analyses, published between January 2000 and November 2020, were selected to determine the usefulness (among others) of CA 125 and HE4 antigen in ovarian cancer. Results: Finally, 39 transcendental publications were selected to write this article to determine the usefulness of tumour markers and algorithms in ovarian cancer. Conclusions: The usefulness of the tumour markers antigen CA125 and antigen HE4 individually or as a basis for decision-making algorithms has low specificity; however, there is little evidence that confirms their usefulness as markers in ovarian cancer screening.

Consideration should be given to smoking, endometriosis, renal function (eGFR) and age when interpreting CA125 and HE4 in ovarian tumor diagnostics

OBJECTIVES

To evaluate the impact of different biologic, histopathologic and lifestyle factors on serum levels of human epididymis protein 4 (HE4) and Cancer antigen 125 (CA125) in the diagnostic work up of women with an ovarian cyst or pelvic tumor.

METHODS

The statistical evaluation was performed on a population of 445 women diagnosed with a benign ovarian disease, included in a large Swedish multicenter trial (ClinicalTrials.gov NCT03193671). Multivariable logistic regression analyses were performed to distinguish between the true negatives and false positives through adjusting for biologic, histopathologic and lifestyle factors on serum samples of CA125 and HE4 separately. The likelihood ratio test was used to determine statistical significance and Benjamini-Hochberg correction to adjust for multiple testing.

RESULTS

A total of 31% of the women had false positive CA125 but only 9% had false positive results of HE4. Smoking (OR 6.62 95% CI 2.93-15.12) and impaired renal function, measured by eGFR (OR 0.18 95% CI 0.08-0.39), were independently predictive of falsely elevated serum levels of HE4. Endometriosis was the only variable predictive of falsely elevated serum levels of CA125 (OR 7.96 95% CI 4.53-14.39). Age correlated with increased serum levels of HE4.

CONCLUSIONS

Smoking, renal failure, age and endometriosis are factors that independently should be considered when assessing serum levels of HE4 and CA125 in women with an ovarian cyst or pelvic mass to avoid false indications of malignant disease.

Immunohistochemical Expression of “HE4” in Endometrial Hyperplasia versus Endometrial Endometrioid Carcinoma

Aim Endometrial cancer is the most common cancer of the female genital tract. No effective biomarkers currently exist to allow for an efficient risk classification of endometrial carcinoma. Human epididymis protein 4 (HE4) overexpression is first observed in ovarian cancer tissue and subsequent research has shown that the HE4 overexpression has also been observed in patients with endometrial carcinoma. To our knowledge, this marker was evaluated in small number of research studies in cases of endometrial carcinoma versus hyperplasia. This has inspired us to test for immunohistochemical expression of HE4 in endometrial endometrioid carcinoma and hyperplastic endometria and to correlate HE4 expression with various prognostic pathological parameters including International Federation of Gynecology and Obstetrics (FIGO) grading and staging. Methods Immunohistochemical staining for HE4 was performed on paraffin-embedded sections of forty cases of endometrial endometrioid carcinoma and thirty cases of endometrial hyperplasia: including 15 cases of non-atypical hyperplasia and 15 cases of atypical hyperplasia. A histochemical score was used to evaluate HE4 expression by the tumor cells. Results In this study, HE4 overexpression level was significantly higher in endometrial endometrioid carcinoma than endometrial hyperplasia and significantly higher than non-atypical endometrial hyperplasia (P<0.05). HE4 strong expression was detected in 20% of atypical endometrial hyperplasia, but no statistical significance was detected between atypical hyperplasia and endometrial carcinoma. HE4 overexpression showed statistically significant positive correlation with FIGO grading, FIGO staging, and depth of myometrial invasion. Conclusion: During interpretation of endometrial biopsies of atypical hyperplasia, HE4 strong expression might raise the possibility of the presence of coexisting adenocarcinoma not biopsied or even warning of a near future malignant transformation. Also, strong expression of HE4 by tissue biopsy of adenocarcinoma should be reported as this might predict higher grade and stage of the tumor, a point that should be considered by surgeons while performing hysterectomy. These results should be further confirmed by extending the study on a large scale, correlation of HE4 expression with the molecular classification of Tumor Cancer Genome Atlas and long term follow up are required to establish the prognostic significance of HE4 expression in endometrial carcinoma and atypical hyperplasia. Keywords: Endometrial carcinoma, Endometrial hyperplasia, HE4, Immunohistochemistry.

A novel decision tree model based on chromosome imbalances in cell-free DNA and CA-125 in the differential diagnosis of ovarian cancer

OBJECTIVE

CA-125 is widely used as biomarker of ovarian cancer. However, CA-125 suffers low accuracy. We developed a hybrid analytical model, the Ovarian Cancer Decision Tree (OCDT), employing a two-layer decision tree, which considers genetic alteration information from cell-free DNA along with CA-125 value to distinguish malignant tumors from benign tumors.

METHODS

We consider major copy number alterations at whole chromosome and chromosome-arm level as the main feature of our detection model. Fifty-eight patients diagnosed with malignant tumors, 66 with borderline tumors, and 10 with benign tumors were enrolled.

RESULTS

Genetic analysis revealed significant arm-level imbalances in most malignant tumors, especially in high-grade serous cancers in which 12 chromosome arms with significant aneuploidy (P<0.01) were identified, including 7 arms with significant gains and 5 with significant losses. The area under receiver operating characteristic curve (AUC) was 0.8985 for copy number variations analysis, compared to 0.8751 of CA125. The OCDT was generated with a cancerous score (CScore) threshold of 5.18 for the first level, and a CA-125 value of 103.1 for the second level. Our most optimized OCDT model achieved an AUC of 0.975.

CONCLUSIONS

The results suggested that genetic variations extracted from cfDNA can be combined with CA-125, and together improved the differential diagnosis of malignant from benign ovarian tumors. The model would aid in the pre-operative assessment of women with adnexal masses. Future clinical trials need to be conducted to further evaluate the value of CScore in clinical settings and search for the optimal threshold for malignancy detection.

Comparison of MRI, CA-125 and HE-4 in determining the depth of myometrial invasion in cases with endometrial cancer

Objective. Endometrial cancer is one of the most common malignancies in the world. There is no effective screening method used for predicting the clinical stage of the disease in the preoperative period and to plan the surgical procedure. The aim of this study is to compare the serum levels of CA-125 and HE-4 with MRI, to evaluate their ability to predict the depth of myometrial invasion in patients diagnosed with endometrial cancer, and to compare the specificity between these two tests. Materials and Methods. This prospective study was conducted at Dokuz Eylul University Faculty of Medicine, Department of Obstetrics and Gynecology, between February 2019 and February 2020. A total of 47 cases were included in the study. The cases were evaluated with MRI preoperatively to determine the extent of the disease. Preoperative serum CA-125 and HE-4 levels were measured by ELISA method and compared, and the superiority of the tests to each other in determining the depth of myometrial invasion was evaluated. Results. In patients with endometrioid cancer, preoperative CA-125 and HE-4 levels were found to be higher if the myometrial invasion is >50% and lymphovascular space invasion is positive, and the difference was statistically significant. A cut-off of 7,05 U/ml for CA-125 could detect the deeper myometrial invasion with a sensitivity of 83% and a specificity of 52%, respectively. A cut-off of 94,25 pmol/L for HE-4 could detect deeper myometrial invasion with a sensitivity of 75% and a specificity of 56%, respectively. The sensitivity of MRI in determining the depth of myometrial invasion was 87,1%, and the specificity was 86,7%. Conclusions. MRI, HE-4 and CA-125 were found to be valuable tests in predicting the extent of the disease and planning the surgical treatment. All three methods successfully predicted the myometrial invasion depth of the disease. The success rates of the tests in predicting the depth of myometrial invasion were MRI, HE-4 and CA-125, respectively. HE-4 and CA-125 could not reach the sensitivity and specificity of MRI in determining the depth of myometrial invasion at any cut-off value. However, it was proved in this study that they can play important roles as simpler and more cost-effective tests in determining the extent of the disease, able to contribute to surgical planning during preoperative evaluation.

Aziz NH, Teik CK, Shafiee MN, Kampan NC. New Predictive Biomarkers for Ovarian Cancer

Ovarian cancer is the eighth-most common cause of death among women worldwide. In the absence of distinctive symptoms in the early stages, the majority of women are diagnosed in advanced stages of the disease. Surgical debulking and systemic adjuvant chemotherapy remain the mainstays of treatment, with the development of chemoresistance in up to 75% of patients with subsequent poor treatment response and reduced survival. Therefore, there is a critical need to revisit existing, and identify potential biomarkers that could lead to the development of novel and more effective predictors for ovarian cancer diagnosis and prognosis. The capacity of these biomarkers to predict the existence, stages, and associated therapeutic efficacy of ovarian cancer would enable improvements in the early diagnosis and survival of ovarian cancer patients. This review not only highlights current evidence-based ovarian-cancer-specific prognostic and diagnostic biomarkers but also provides an update on various technologies and methods currently used to identify novel biomarkers of ovarian cancer.

Detection and analysis of multiple biomarkers in ovarian cancer: clinical significance in diagnosis, treatment, and prognosis evaluation

BACKGROUND

The purpose of this study was to explore the clinical significance of CA125, CK7, CK20, ER, PR, C-erbb2, and P-gp in ovarian cancer.

METHODS

Ovarian cancer patients were recruited from Nantong Cancer Hospital between March 2006 and July 2011. The expressions of CA125, CK7, CK20, ER, PR, C-erbb2, and P-gp were determined by immunohistochemistry (IHC).The chi-square test (χ2) was used to analyze the correlation between each index and the clinical characteristics of the patients. The patients were followed up to record the cancer recurrence time. The Kaplan-Meier method was used to map the cumulative recurrence-free survival (RFS) rate, and COX regression analysis was established for multivariate analysis.

RESULTS

The results of IHC showed that the positive expression rates of CA125, CK7, ER, C-erbb2, and P-gp in malignant ovarian cancer tissues were significantly higher than those in benign ovarian cancer tissues. CA125 expression in malignant ovarian cancer was significantly correlated with the age of patients and the Federation of International Gynecology and Obstetrics (FIGO) stage. CK7 expression in malignant ovarian cancer was significantly correlated with the age, tissue differentiation, and number of residual lesions. CK20 expression in malignant ovarian cancer was significantly correlated with the age and tissue differentiation of the patients. ER expression in malignant ovarian cancer was significantly correlated with the age of patients and FIGO stage. PR expression in malignant ovarian cancer was significantly correlated with the age of the patients. C-erbb2 expression in malignant ovarian cancer was significantly correlated with the age of the patients. P-gp expression in malignant ovarian cancer was significantly correlated with the patient age, pathological type, and tissue differentiation. The expression of CA125, CK7, CK20, C-erbb2, and P-gp had significant effects on the prognosis of patients with ovarian cancer. The COX regression analysis showed that P-gp was an independent risk factor for ovarian cancer.

CONCLUSIONS

In malignant ovarian cancer tissues, CA125, CK7, CK20, ER, PR, C-erbb2, and P-gp are over-expressed. The expression of P-gp is an independent risk factor for ovarian cancer, and it can be an important target for the treatment of malignant ovarian cancer.

S100A4/Nonmuscle Myosin IIA/p53 Axis Contributes to Aggressive Features in Ovarian High-Grade Serous Carcinoma

S100A4 is a small calcium-binding protein that exerts its biological functions by interacting with nonmuscle myosin IIA (NMIIA) and p53. Although S100A4 promotes metastasis in several tumors, little is known about its involvement in the progression of ovarian high-grade serous carcinomas (HGSCs). Herein, we focused on functional roles of the S100A4/NMIIA/p53 axis in these tumors. In HGSC cell lines harboring mutant p53, knockdown (KD) of S100A4 reduced the expression of several epithelial-mesenchymal transition/cancer stem cell markers and the ALDH1^high population, consistent with an inhibition of stemness features. S100A4-KD also increased apoptosis, decreased cell proliferation, and accelerated cell mobility. This was accompanied by increased Snail expression, which, in turn, was likely due to loss of p53 function. In contrast, specific inhibition of NMIIA by blebbistatin induced phenotypes that-with the exception of cell proliferation and mobility-were opposite to those observed in S100A4-KD cells. In clinical samples, cytoplasmic and/or nuclear interactions between S100A4, NMIIA, and mutant p53 were observed. In addition, high expression of S100A4, but not NMIIA or p53, was a significant and independent unfavorable prognostic factor in HGSC patients. These findings suggest that, via its interaction with NMIIA and p53, overexpressed S100A4 may induce epithelial-mesenchymal transition/cancer stem cell properties in HGSC and elicit several other tumor-associated phenotypes.

Comparison of Risk of Ovarian Malignancy Algorithm and cancer antigen 125 to discriminate between benign ovarian tumor and early-stage ovarian cancer according to imaging tumor subtypes

The present study aimed to compare the accuracy of the Risk of Ovarian Malignancy Algorithm (ROMA) and cancer antigen (CA)125 to discriminate between benign ovarian tumors and early-stage ovarian cancer according to imaging tumor subtypes associated with post-operative histopathological findings. A total of 1,207 patients who were assessed using the ROMA test due to suspected early-stage ovarian cancer and underwent surgery at Asan Medical Center (Seoul, Korea) between September 2014 and March 2018 were identified. A total of 981 patients who met the inclusion criteria were included in the retrospective analysis. Among the 981 subjects, 816 had benign tumors, 90 had malignant tumors and 75 had borderline tumors. Of the patients diagnosed with ovarian cancer or borderline tumor, 47.3% were judged as high-risk by the ROMA test and 58.2% had CA125 levels of >35 U/ml. The specificity and accuracy of ROMA were higher compared with those of CA125 in pre-menopausal females. However, the superiority of the ROMA test in the identification of malignant ovarian tumors compared with CA125 was only observed in patients with endometriotic-type tumors but not in any of the other tumor subtypes. In the endometriotic type of ovarian tumor, the superiority of the ROMA test compared to CA125 was confirmed in triage of ovarian tumor. However, the sensitivity and specificity of ROMA and CA125 were similar for the other tumor types. Therefore, future development of better tumor-specific biomarkers for triage of ovarian tumor is required.

Developing Organoids from Ovarian Cancer as Experimental and Preclinical Models

Ovarian cancer (OC) represents the most dismal gynecological cancer. Pathobiology is poorly understood, mainly due to lack of appropriate study models. Organoids, defined as self-developing three-dimensional in vitro reconstructions of tissues, provide powerful tools to model human diseases. Here, we established organoid cultures from patient-derived OC, in particular from the most prevalent high-grade serous OC (HGSOC). Testing multiple culture medium components identified neuregulin-1 (NRG1) as key factor in maximizing OC organoid development and growth, although overall derivation efficiency remained moderate (36% for HGSOC patients, 44% for all patients together). Established organoid lines showed patient tumor-dependent morphology and disease characteristics, and recapitulated the parent tumor's marker expression and mutational landscape. Moreover, the organoids displayed tumor-specific sensitivity to clinical HGSOC chemotherapeutic drugs. Patient-derived OC organoids provide powerful tools for the study of the cancer's pathobiology (such as importance of the NRG1/ERBB pathway) as well as advanced preclinical tools for (personalized) drug screening and discovery.

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Organoids are established from ovarian cancer (OC)

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Neuregulin-1 (NRG1) is identified as key component for OC organoid growth

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OC organoids capture disease hallmarks and recapitulate patient tumor characteristics

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OC organoids are amenable to drug screening and mechanistic (NRG1/ERBB) research

Pre-operative sera interleukin-6 in the diagnosis of high-grade serous ovarian cancer

Pre-operative discrimination of malignant masses is crucial for accurate diagnosis and prompt referral to a gynae oncology centre for optimal surgical intervention. HGSOC progression is correlated with local and systemic inflammation. We hypothesised that inclusion of inflammatory biomarkers in sera may improve diagnostic tests. In the training cohort, we tested four existing clinical tests (RMI score and ROMA, CA125 and HE4) and a panel of 28 immune soluble biomarkers in sera from 66 patients undergoing surgery for suspected ovarian cancer. Six promising immune biomarkers alone, or in combination with conventional tests, were subsequently analysed in an independent validation cohort (n = 69). IL-6 was identified as the main driver of variability followed closely by conventional diagnostic tests. Median sera IL-6 was higher in HGSOC patients compared to those with a benign mass or controls with normal ovaries (28.3 vs 7.3 vs 1.2 pg/ml, p < 0.0001). The combination of IL-6 further improved the overall predictive probability of the conventional tests. Modelling a two-step triage of women with a suspicious ovarian mass, with IL-6 > 3.75 pg/ml as primary triage followed by conventional tests (CA125 or RMI score) identified ovarian cancer in patients with a misclassification rate of 4.54–3.03%, superior to the use of CA125 or RMI alone (9.09 to 10.60). The validation cohort demonstrated a similar improvement in the diagnostic sensitivity following addition of IL-6. IL-6 in combination with conventional tests may be a useful clinical biomarker for triage of patients with a suspected malignant ovarian mass.

Clinical Usefulness of Cancer Antigen (CA) 125, Human Epididymis 4, and CA72-4 Levels and Risk of Ovarian Malignancy Algorithm Values for Diagnosing Ovarian Tumors in Korean Patients With and Without Endometriosis

BACKGROUND

Tumor markers are useful for detection and preoperative evaluation of ovarian tumors. We evaluated the clinical usefulness of cancer antigen (CA) 125, human epididymis 4 (HE4), and CA72-4 levels and Risk of Ovarian Malignancy Algorithm (ROMA) values for differential diagnosis of malignant and borderline tumors among suspected ovarian tumors, and the effects of endometriosis on these tumor markers.

METHODS

In a total of 266 patients (213, 14, and 39 with benign, borderline and malignant tumors, respectively), CA125, HE4, and CA72-4 levels were measured, and ROMA values were calculated. Medians of each marker were compared among the three groups. The area under the ROC curve (AUC), sensitivity, and specificity were calculated to analyze the diagnostic performance of each marker.

RESULTS

All markers were significantly higher in the malignant group than in the benign group. HE4 levels and ROMA values were significantly higher in the malignant group than in the borderline group. ROMA value had the highest AUC for distinguishing the malignant and borderline groups from the benign group in premenopausal (0.773) and postmenopausal (0.927) patients. CA125 level was significantly higher in patients with endometriosis than in those without (P<0.001), whereas HE4 and CA72-4 levels were not affected by endometriosis (P=0.128 and 0.271, respectively).

CONCLUSIONS

ROMA value is the best marker to distinguish malignant and borderline tumors from benign tumors in pre- and postmenopausal patients. HE4 and CA72-4 levels provide information on possible CA125 elevation due to endometriosis.

Knockdown of HE4 suppresses aggressive cell growth and malignant progression of ovarian cancer by inhibiting the JAK/STAT3 pathway

Human epididymis protein 4 (HE4) is well known to be a predictor of ovarian cancer clinically. HE4 is reported to play crucial roles in ovarian cancer progression and metastasis. The purpose of the present study was to explore its biological role and molecular mechanism in ovarian cancer. In our study, we found that expression levels of HE4 in tissues, serum and urine in ovarian cancer were upregulated compared to healthy and benign groups. HE4 expression was elevated in ovarian cancer cells. Knockdown of HE4 dampened cell proliferation and Ki67 expression, as well as enhanced apoptosis, caspase-3 activity and cleaved-caspase-3 expression. In addition, HE4 downregulation repressed invasion and migration capabilities of ovarian cancer cells. Western blot analyses showed that knockdown of HE4 reduced the levels of matrix metalloproteinases (MMP-2 and MMP-9) and inhibited epithelial to mesenchymal transition (EMT) in ovarian cancer cells. In vivo animal experiments revealed that HE4 downregulation constrained the growth of xenograft tumor. Mechanism research showed that knockdown HE4 inhibited the activity of JAK/STAT3 pathway in vitro and in vivo. In conclusion, our findings reported that knockdown of HE4 suppresses aggressive cell growth and malignant progression of ovarian cancer by inhibiting the JAK/STAT3 pathway, which provides valuable insights to contribute to develop novel HE4-targeted therapies.

Summary: Our findings reported that HE4 knockdown suppresses aggressive cell growth and malignant progression of ovarian cancer by inhibiting the JAK/STAT3 pathway, which could provide a valuable insight into developing novel HE4-targeted therapies.

Interaction of HE4 and ANXA2 exists in various malignant cells-HE4-ANXA2-MMP2 protein complex promotes cell migration

Background

The interaction between human epididymis protein 4 (HE4) and annexin A2 (Annexin A2) has been found in ovarian cancer. However, it is dimness whether the interaction exists in other malignant tumors.

Methods

Real-time PCR, western blotting and immunocytochemistry were used to detect mRNA and proteins expression. Co-immunoprecipitation and double-labeling immunofluorescence were used to detect the interaction among HE4, ANXA2 and MMP2. MTS assay was used to test cell proliferation. Adhesion test was used to test cell adhesion. Flow cytometry was applied to examine cell cycle. The scratch test and Transwell assay was performed to detect the migration and invasion of various malignant cell lines.

Results

Here we show that the overexpression of HE4 and ANXA2 in various malignant cells is a common phenomenon. HE4 and ANXA2 are co-localized in the cytoplasm and membrane of various tumor cells. ES-2 cells which had both high expression of HE4 and ANXA2 were much stronger in proliferation, adhesion, invasion, and migration than other tumor cells. HE4–ANXA2–MMP2 could form a triple protein complex. HE4 could mediate the expression of MMP2 via ANXA2 to promote cell migration progress.

Conclusions

The interaction of HE4 and ANXA2 exists in various types of cancer cells. HE4 and ANXA2 can promote the proliferation, adhesion, invasion, and migration of cancer cells. HE4–ANXA2–MMP2 form a protein complex and ANXA2 plays the role of “bridge”. They performed together to promote cell migration.

Ovarian carcinomas express HE4 epitopes independently of each other

BACKGROUND

The gene encoding HE4 undergoes alternative splicing to yield multiple protein isoforms. We investigated anti-HE4 mAbs which recognize epitopes on the C (2H5 and 3D8) or N (12A2 and 14E2) terminals.

METHODS

A Luminex assay was applied to determine mAb affinity. Binding of mAbs to sections from formaline fixed ovarian carcinomas was determined by immunohistology, binding to cultured ovarian carcinoma cells was tested by flow cytometry and immunocytochemistry, and HE4 secretion to patient serum or supernatants of cultured ovarian carcinoma was assayed by ELISA.

RESULTS

mAb 12A2 bound to formalin-fixed sections from 18 of 19 ovarian carcinomas, while 14E2, 2H5 and 3D8 bound to sections from 14, 7 and 4 patients, respectively. The mAbs bound independently of each other, i.e. a sample bound one mAb most strongly while another sample with similar affinity strongest bound another mAb. The intensity of binding to sections did not significantly correlate with the serum level of HE4 except for mAb 14E2, but there was a significant correlation between HE4 expression and its detection in supernatants of cultured ovarian carcinomas.

CONCLUSIONS

HE4 epitopes are expressed independently of each other and their expression of HE4 by cultured ovarian carcinoma cells correlates with the release of HE4 into culture supernatants. he epitope recognized by mAb 14E2 was significantly more expressed by platinum resistant tumors.

IMPACT

Expression of HE4 by most ovarian carcinomas makes it an excellent biomarker.. Further studies are needed to investigate the clinical relevance of overexpression of a particular epitope.

Identification of CD4+ T cell biomarkers for predicting the response of patients with relapsing‑remitting multiple sclerosis to natalizumab treatment

Multiple sclerosis (MS) is a chronic inflammatory disease of the central nervous system of autoimmune etiopathogenesis, and is characterized by various neurological symptoms. Glatiramer acetate and interferon-β are administered as first-line treatments for this disease. In non-responsive patients, several second-line therapies are available, including natalizumab; however, a percentage of MS patients does not respond, or respond partially. Therefore, it is of the utmost importance to develop a diagnostic test for the prediction of drug response in patients suffering from complex diseases, such as MS, where several therapeutic options are already available. By a machine learning approach, the UnCorrelated Shrunken Centroid algorithm was applied to identify a subset of genes of CD4⁺ T cells that may predict the pharmacological response of relapsing-remitting MS patients to natalizumab, before the initiation of therapy. The results from the present study may provide a basis for the design of personalized therapeutic strategies for patients with MS.

The contribution and perspectives of proteomics to uncover ovarian cancer tumor markers

Despite all the advances in understanding the mechanisms involved in ovarian cancer (OC) development, many aspects still need to be unraveled and understood. Tumor markers (TMs) are of special interest in this disease. Some aspects of clinical management of OC might be improved by the use of validated TMs, such as differentiating subtypes, defining the most appropriate treatment, monitoring the course of the disease, or predicting clinical outcome. The Food and Drug Administration (FDA) has approved a few TMs for OC: CA125 (cancer antigen 125; monitoring), HE4 (Human epididymis protein; monitoring), ROMA (Risk Of Malignancy Algorithm; HE4+CA125; prediction of malignancy) and OVA1 (Vermillion's first-generation Multivariate Index Assay [MIA]; prediction of malignancy). Proteomics can help advance the research in the field of TMs for OC. A variety of biological materials are being used in proteomic analysis, among them tumor tissues, interstitial fluids, tumor fluids, ascites, plasma, and ovarian cancer cell lines. However, the discovery and validation of new TMs for OC is still very challenging. The enormous heterogeneity of histological types of samples and the individual variability of patients (lifestyle, comorbidities, drug use, and family history) are difficult to overcome in research protocols. In this work, we sought to gather relevant information regarding TMs, OC, biological samples for proteomic analysis, as well as markers and algorithms approved by the FDA for use in clinical routine.

Cervical, Ovarian and Endometrial Tumor Markers: Potential Clinical Value

Tumors markers can be described as molecular products expressed by neoplasia tissues (immunohistochemistry), or metabolized and secreted by tumor and characterized biochemically in body fluids such as blood and urine. They may have utility as indicators of tumor stage and grade as well useful for monitoring responses to treatment and predicting recurrence, progression, development of metastases, or even patient survival. Unfortunately, in some cases they may have no identified clinical potential. Several investigations have been carried out, especially in the last decade, using biotechnological methods, in order to identify new potential tumor markers. By translating these findings into clinical use one may facilitate accurate diagnosis and prognostic prediction, and contribute to individualized treatment. The objective of this review is to describe some biomarkers with potential use in clinical settings of uterine cervix, ovary, and endometrium carcinomas.

Urine Biomarkers for the Early Detection of Ovarian Cancer - Are We There Yet?

Ovarian cancer affects around 7500 women in the United Kingdom every year. Despite this, there is no effective screening strategy or standard treatment for ovarian cancer. If diagnosed during stage I, ovarian cancer has a 90% 5-year survival rate; however, there is usually a masking of symptoms which leads to an often late-stage diagnosis and correspondingly poor survival rate. Current diagnostic methods are invasive and consist of a pelvic examination, transvaginal ultrasonography, and blood tests to detect cancer antigen 125 (CA125). Unfortunately, surgery is often still required to make a positive diagnosis. To address the need for accurate, specific, and non-invasive diagnostic methods, there has been an increased interest in biomarkers identified through non-invasive tests as tools for the earlier diagnosis of ovarian cancer. Although most studies have focused on the identification of biomarkers in blood, the ease of availability of urine and the high patient compliance rates suggest that it could provide a promising resource for the screening of patients for ovarian cancer.

Detecting ovarian cancer using extracellular vesicles: progress and possibilities

Ovarian cancer (OC) is the deadliest gynecological malignancy. Most patients are diagnosed when they are already in the later stages of the disease. Earlier detection of OC dramatically improves the overall survival, but this is rarely achieved as there is a lack of clinically implemented biomarkers of early disease. Extracellular vesicles (EVs) are small cell-derived vesicles that have been extensively studied in recent years. They contribute to various aspects of cancer pathology, including tumor growth, angiogenesis and metastasis. EVs are released from all cell types and the macromolecular cargo they carry reflects the content of the cells from which they were derived. Cancer cells release EVs with altered cargo into biofluids, and so, they represent an excellent potential source of novel biomarkers for the disease. In this review, we describe the latest developments in EVs as potential biomarkers for earlier detection of OC. The field is still relatively young, but many studies have shown that EVs and the cargo they carry, including miRNAs and proteins, can be used to detect OC. They could also give insights into the stage of the disease and predict the likely therapeutic outcome. There remain many challenges to the use of EVs as biomarkers, but, through ongoing research and innovation in this exciting field, there is great potential for the development of diagnostic assays in the clinic that could improve patient outcome.

False-positive screening events and worry influence decisions about surgery among high-risk women

OBJECTIVE

Studies of cancer screening have found that false positive screening events (FPSE) can affect worry about cancer risk and screening program use, we sought to further explore this.

METHOD

In a study of 1,100 women at high risk for ovarian cancer who participated in a previously published randomized controlled trial (RCT), we sought to explore whether worry might also influence the use of risk-reducing surgical procedures by women. Participants included 234 women with BRCA1/2 mutations and 866 women with high-risk pedigrees. We followed the women for up to 6 years.

RESULTS

Worry predicted risk reducing prophylactic bilateral salpingo-oophorectomy (pBSO) for both mutation carriers (HR = 1.74; p = .02), and women with high-risk pedigree (HR = 3.41; p < .001). FPSE also predicted subsequent pBSO among women with a high-risk pedigree (HR 2.31; p < .01). While screening may reduce worry among those who never receive a positive result, FPSE increase worry at least temporarily. Worry about ovarian cancer risk predicted use of preventative pBSO among high-risk women including those with BRCA1/2 mutations enrolled in an ovarian cancer-screening program. FPSE also predicted risk-reducing ovarian surgery among high-risk women without a known mutation at the time of screening program enrollment.

CONCLUSIONS

Physicians who offer screening should know that false positive results may increase use of pBSO, how this should effect clinical practice is unclear. (PsycINFO Database Record (c) 2018 APA, all rights reserved).

Assessment of Diagnostic Values among CA-125, RMI, HE4, and ROMA for Cancer Prediction in Women with Nonfunctional Ovarian Cysts

Objectives

To evaluate the diagnostic performance among CA-125, RMI, HE4, and ROMA for cancer detection in women with nonfunctional ovarian cysts at King Chulalongkorn Memorial Hospital (KCMH). Secondary objective is to reconsider the proper cutoff value of HE4.

Methods

This is a prospective analytic study in women with nonfunctional ovarian cysts larger than 3 cm who scheduled for surgery at KCMH during 3^rd June 2015 to 31^st May 2016. Ultrasonogram and blood sample collection were completed before the operation. Patients' demographic information and pathologic results were obtained. SPSS software version 17 was used for statistical evaluation.

Results

A total of 281 participants were evaluated. 19.9% of them were malignant. Compared with CA-125, HE4 had lower sensitivity (53.4% vs. 87.9%) and NPV (89% vs. 93.6%) but higher specificity (97.8% vs. 46.2%) and PPV (86.1% vs. 29.8%). ROMA had slightly lower sensitivity (79.3% vs. 87.9%) and similar NPV (93.7% vs. 93.6%), but higher specificity (79.8% vs. 46.2%) and PPV (50.5% vs. 29.8%) compared with CA-125. The model that achieves the highest area under the ROC curve in differentiating benign versus malignant ovarian tumor was ROMA. Cutoff value of HE4 at 70 pMol/L (from 150 pMol/L) would give sensitivity 74.1% and specificity 86.5% that are comparable with ROMA.

Conclusions

HE4 and ROMA had better performance (higher specificity, PPV) compared to CA-125 and RMI. HE4 at 70 pMol/L could be the new cutoff value for Thai women with ovarian cysts, giving higher sensitivity and specificity.

Evaluation in the predictive value of serum human epididymal protein 4 (HE4), cancer antigen 125 (CA 125) and a combination of both in detecting ovarian malignancy

Background This study was conducted to evaluate the performance of human epididymal protein 4 (HE4), cancer antigen 125 (CA 125) and a combination of both via the Risk of Ovarian Malignancy Algorithm (ROMA) in detecting ovarian malignancy. Methods This was a diagnostic study enrolling 129 patients with pelvic mass(es) suspected of originating in the ovary who had been scheduled for surgery or radiological-guided biopsy. Serum HE4 and CA 125 levels were measured. HE4, CA 125 and ROMA were evaluated for sensitivity, specificity, positive predictive value and negative predictive value. The receiver operating characteristic (ROC) plots were graphed and area under the curve (AUC) values were calculated to investigate the accuracy of each marker for predicting ovarian malignancy. Results Overall, CA 125 remained significantly more sensitive (88.9% vs. 51.9%, p = 0.006) but less specific (56.9% vs. 95.1%, p < 0.001) than HE4. HE4 was superior to CA 125 in specificity (97.7% vs. 54.5%, p < 0.001) for premenopausal women. ROMA was non-significantly more sensitive (100.0% vs. 92.3%, p = 1.000) than CA 125 but both were equally specific (71.4%) for the postmenopausal group. In the premenopausal group, the AUC of serum HE4 was higher than serum CA 125 (0.851 vs. 0.817) but was equivalent to ROMA (0.851 vs. 0.859). In the postmenopausal group, ROMA exhibited an excellent AUC value as compared to CA 125 and HE4 (AUC of 0.907 vs. 0.874 vs. 0.863, respectively). Conclusion HE4 is useful in ruling out ovarian malignancy among premenopausal women. For postmenopausal women, ROMA appears to be an all-rounder with overall good sensitivity and specificity.

The diagnostic value of human epididymis protein 4 as a novel biomarker in patients with renal dysfunction

PURPOSE

In this study, we investigated the diagnostic value of human epididymis protein 4 (HE4) in acute and chronic renal dysfunction and analyzed the correlation between HE4 levels and the results of routine renal function tests. We aimed to provide evidence to establish HE4 as a novel biomarker of renal injury and its appropriate application as a marker of ovarian cancer.

METHODS

We collected 259 serum samples from hospitalized patients with different causes of renal damage. HE4 serum levels were detected by chemiluminescence and the levels of serum creatinine, urea, and cystatin C were tested by conventional clinical chemical methods.

RESULTS

The levels of HE4 were highest in the acute kidney injury groups and chronic kidney disease groups, although other groups were also significantly higher than the control group. HE4 and creatinine, urea, and cystatin C had a positive linear correlation. In contrast, HE4 and estimated glomerular filtration rate (eGFR) had a negative linear correlation, with a correlation coefficient of - 0.674 (P < 0.01). Area under the receiver-operating characteristic curve analysis showed that HE4 has higher diagnostic value compared with creatinine, urea, and cystatin C in both acute and chronic renal injury patients; however, HE4 and creatinine have a similar diagnostic value. Notably, HE4 concentration gradually increased with a decline of glomerular filtration rate, with significant differences evident between different eGFR stages.

CONCLUSION

HE4 is a potential biomarker of kidney injury in acute and chronic renal dysfunction. Importantly, clinicians should be aware of this when using HE4 to diagnose ovarian cancer.

Comparison of the Serum Level of Cancer Antigen 125 and Human Epididymis Protein 4 in Ovarian Cancer Patients and Healthy Groups in Isfahan City

Background:

Ovarian cancer is the most common fatal malignancy of the gynecology tract. The purpose of this study was to compare serum levels of tumor markers cancer antigen 125 (CA125) and human epididymis protein 4 (HE4) in both healthy groups and patients with ovarian cancer.

Materials and Methods:

this case–control study was performed on Seyed Al-Shohada Hospital in Isfahan. Research on the treatment of 44 patients with ovarian cancer and 44 healthy controls was performed. CA125 and HE4 were measured in serum by sandwich ELISA method.

Results:

Average CA125 in ovarian cancer patients (83.30 ± 43.99 μ/ml) was significantly higher than in healthy controls (12.39 ± 5.50 μ/ml) (P < 0.001). Average HE4 in ovarian cancer patients (295.41 ± 133.33 PM) was significantly higher than in healthy controls (114.64 ± 17.31 PM) (P < 0.001).

Conclusions:

HE4 test is complementary of CA125 test in women with epithelial ovarian cancer. It is also used to study the disease process.

The role of whey acidic protein four-disulfide-core proteins in respiratory health and disease

Members of the whey acidic protein (WAP) or WAP four-disulfide-core (WFDC) family of proteins are a relatively under-explored family of low molecular weight proteins. The two most prominent WFDC proteins, secretory leukocyte protease inhibitor (SLPI) and elafin (or the precursor, trappin-2), have been shown to possess multiple functions including anti-protease, anti-bacterial, anti-viral and anti-inflammatory properties. It is therefore of no surprise that both SLPI and elafin/trappin-2 have been developed as potential therapeutics. Given the abundance of SLPI and elafin/trappin-2 in the human lung, most work in the area of WFDC research has focused on the role of WFDC proteins in protecting the lung from proteolytic attack. In this review, we will outline the current evidence regarding the expanding role of WFDC protein function with a focus on WFDC activity in lung disease as well as emerging data regarding the function of some of the more recently described WFDC proteins.

Preparation and characterization of a high-affinity monoclonal antibody against human epididymis protein-4

Human epididymis protein-4 (HE4) may serve as a putative biomarker for the early diagnosis, therapy and especially prognosis of ovarian, lung and breast cancer. Detection and targeting of HE4 using the anti-HE4 antibody could be one of the effective strategies for the cancer diagnosis and treatment in clinical practice. In this study, a high-efficiency expression system was established to purify recombinant HE4. We obtained high purity HE4 in 400 mg quantity from 1 L culture supernatant of HEK293F cells. CCK-8 and cell cycle assays indicated that the purified recombinant HE4 protein could promote SKOV3 cell cycle and proliferation at the concentration of 0.1 mg/L. Furthermore, an anti-HE4 high-affinity monoclonal antibody 9C3 (ka = 8.1 × 10⁶ 1/MS, kd = 4.4 × 10^-5 1/S, KD = 5.5 × 10^-12 M) was prepared using hybridoma technique and analyzed by surface plasmon resonance technology using this HE4 protein. Differential Scanning calorimeter (DSC) analysis showed that 9C3 had a commendable thermal stability with the T_m value of 73 °C. Analyses of western blot, immunohistochemistry and immunofluorescence showed that the 9C3 was highly specific to HE4 in human cancer cells and tissues. In conclusion, our study designed a method to prepare human recombinant HE4 with high yield and generated a high-affinity anti-HE4 monoclonal antibody that might have potential for basic research and clinical application.

Circulating biomarkers in epithelial ovarian cancer diagnosis: from present to future perspective

Ovarian cancer (OC) represents the most lethal gynecological cancer and the poor prognosis is often attributable to late diagnosis. The diagnostic approach to woman presenting with pelvic mass is difficult and differential diagnosis often requires invasive histological examination. Serum CA125 and HE4, as well as the most of the other serum biomarkers discovered and validated, are not sufficiently sensitive and specific to make early diagnosis. Moreover, conflicting results exist about the improvement of diagnostic performance by using multivariate index assays, developed by combining circulating biomarkers with other variables (i.e., ultrasound and/or menopausal status and/or age), in comparison to CA125 or HE4 alone. In the last years, several studies focused on the microRNAs (miRs), short single-stranded non-coding RNA that regulate several messenger RNAs (mRNAs). As in other cancer types, the aberrant miRs expression has been demonstrated in gynecological cancers, in both tissues and serum samples. In particular, the diagnostic performance of single or miRs panels resulted very high. However, to date, despite the potential clinical utility has been demonstrated, none of these miRs has been validated in large OC populations.

The role of biomarkers in the management of epithelial ovarian cancer

INTRODUCTION

Despite advances in surgery and chemotherapy for ovarian cancer, 70% of women still succumb to the disease. Biomarkers have contributed to the management of ovarian cancer by monitoring response to treatment, detecting recurrence, distinguishing benign from malignant pelvic masses and attempting to detect disease at an earlier stage. Areas covered: This review focuses on recent advances in biomarkers and imaging for management of ovarian cancer with particular emphasis on early detection. Relevant literature has been reviewed and analyzed. Expert commentary: Rising or persistent CA125 blood levels provide a highly specific biomarker for epithelial ovarian cancer, but not an optimally sensitive biomarker. Addition of HE4, CA 72.4, anti-TP53 autoantibodies and other biomarkers can increase sensitivity for detecting early stage or recurrent disease. Detecting disease recurrence will become more important as more effective therapy is developed. Early detection will require the development not only of biomarker panels, but also of more sensitive and specific imaging strategies. Effective biomarker strategies are already available for distinguishing benign from malignant pelvic masses, but their use in identifying and referring patients with probable ovarian cancer to gynecologic oncologists for cytoreductive operations must be encouraged.

The role of biomarkers in the management of epithelial ovarian cancer

INTRODUCTION

Despite advances in surgery and chemotherapy for ovarian cancer, 70% of women still succumb to the disease. Biomarkers have contributed to the management of ovarian cancer by monitoring response to treatment, detecting recurrence, distinguishing benign from malignant pelvic masses and attempting to detect disease at an earlier stage. Areas covered: This review focuses on recent advances in biomarkers and imaging for management of ovarian cancer with particular emphasis on early detection. Relevant literature has been reviewed and analyzed. Expert commentary: Rising or persistent CA125 blood levels provide a highly specific biomarker for epithelial ovarian cancer, but not an optimally sensitive biomarker. Addition of HE4, CA 72.4, anti-TP53 autoantibodies and other biomarkers can increase sensitivity for detecting early stage or recurrent disease. Detecting disease recurrence will become more important as more effective therapy is developed. Early detection will require the development not only of biomarker panels, but also of more sensitive and specific imaging strategies. Effective biomarker strategies are already available for distinguishing benign from malignant pelvic masses, but their use in identifying and referring patients with probable ovarian cancer to gynecologic oncologists for cytoreductive operations must be encouraged.

The role of biomarkers in the management of epithelial ovarian cancer

INTRODUCTION

Despite advances in surgery and chemotherapy for ovarian cancer, 70% of women still succumb to the disease. Biomarkers have contributed to the management of ovarian cancer by monitoring response to treatment, detecting recurrence, distinguishing benign from malignant pelvic masses and attempting to detect disease at an earlier stage. Areas covered: This review focuses on recent advances in biomarkers and imaging for management of ovarian cancer with particular emphasis on early detection. Relevant literature has been reviewed and analyzed. Expert commentary: Rising or persistent CA125 blood levels provide a highly specific biomarker for epithelial ovarian cancer, but not an optimally sensitive biomarker. Addition of HE4, CA 72.4, anti-TP53 autoantibodies and other biomarkers can increase sensitivity for detecting early stage or recurrent disease. Detecting disease recurrence will become more important as more effective therapy is developed. Early detection will require the development not only of biomarker panels, but also of more sensitive and specific imaging strategies. Effective biomarker strategies are already available for distinguishing benign from malignant pelvic masses, but their use in identifying and referring patients with probable ovarian cancer to gynecologic oncologists for cytoreductive operations must be encouraged.

HE4-test of urine and body fluids for diagnosis of gynecologic cancer

Serum epididymis protein 4 (HE4) level is a useful biomarker for the management of ovarian and endometrial cancer patients. Urine HE4-test, with its easier access than serum test, has emerged as a new method with promising application for the diagnosis of ovarian cancer. Areas covered: This review summarizes data regarding the detection and alteration of HE4 in urine samples collected from ovarian cancer patients and controls. The performance and limitation of the assay and potential direction of future study are also discussed. Expert commentary: Several studies have demonstrated an appreciable efficiency of urine HE4-test in the discrimination of ovarian cancer patients from general population. However, the data is based on small cohorts, and the performance of urine HE4-test need to be validated in larger groups. An algorithm incorporating other important factors may allow a quantitative assessment of cancer possibility. Future studies on the HE4 renal secretion and HE4 degradation dynamics in urine are also required for the establishment of standard protocols for the application of urine HE4-test in clinical settings.

Physiopathological factors affecting the diagnostic value of serum HE4-test for gynecologic malignancies

Serum epididymis protein 4 (HE4) represents a useful biomarker for the management of ovarian cancer and endometrial cancer patients. However, HE4 levels are affected by many physiopathological conditions or disorders that should be taken into consideration for an efficient application of this biomarker. Areas covered: The review provides an up-to-date reference on the multiple physiopathological factors that cause fluctuation of HE4 serum levels, and evaluates their impact on HE4-test in clinical settings. Potential mechanisms underlying the regulation of HE4 expression are also discussed. The review is based on data from literature search of PubMed and the author's opinions. Expert commentary: Studies have shown that physiopathological factors such as age, infection/inflammation, renal function, menopause and hormonal levels impose significant impacts on HE4 serum levels. HE4 amount shed into the circulation is related to HE4 expression and secretion by tumor as well as normal tissues, which is affected by cancer heterogeneity, vascular permeability, renal clearance and HE4 degradation. Investigation on interfering factors builds a basis for the construction of a quantitative logarithm for individualized application of HE4-test in clinical settings.

Overexpression of HE4 (human epididymis protein 4) enhances proliferation, invasion and metastasis of ovarian cancer

Overexpression of Human epididymis protein 4 (HE4) related with a role in ovarian cancer tumorigenesis while little is known about the molecular mechanism alteration by HE4 up regulation. Here we reported that overexpressed HE4 promoted ovarian cancer cells proliferation, invasion and metastasis. Furthermore, human whole genome gene expression profile microarrays revealed that 231 differentially expressed genes (DEGs) were altered in response to HE4, in which MAPK signaling, ECM receptor, cell cycle, steroid biosynthesis pathways were involved. The findings suggested that overexpressed HE4 played an important role in ovarian cancer progression and metastasis and that HE4 has the potential to serve as a novel therapeutic target for ovarian cancer.

Supervised, Unsupervised, and Semi-Supervised Feature Selection: A Review on Gene Selection

Recently, feature selection and dimensionality reduction have become fundamental tools for many data mining tasks, especially for processing high-dimensional data such as gene expression microarray data. Gene expression microarray data comprises up to hundreds of thousands of features with relatively small sample size. Because learning algorithms usually do not work well with this kind of data, a challenge to reduce the data dimensionality arises. A huge number of gene selection are applied to select a subset of relevant features for model construction and to seek for better cancer classification performance. This paper presents the basic taxonomy of feature selection, and also reviews the state-of-the-art gene selection methods by grouping the literatures into three categories: supervised, unsupervised, and semi-supervised. The comparison of experimental results on top 5 representative gene expression datasets indicates that the classification accuracy of unsupervised and semi-supervised feature selection is competitive with supervised feature selection.

Sugarcane Serine Peptidase Inhibitors, Serine Peptidases, and Clp Protease System Subunits Associated with Sugarcane Borer (Diatraea saccharalis) Herbivory and Wounding

Sugarcane's (Saccharum spp.) response to Diatraea saccharalis (F.) (Lepidoptera: (Crambidae) herbivory was investigated using a macroarray spotted with 248 sugarcane Expressed Sequence Tags (ESTs) encoding serine peptidase inhibitors, serine peptidases. and Clp protease system subunits. Our results showed that after nine hours of herbivory, 13 sugarcane genes were upregulated and nine were downregulated. Among the upregulated genes, nine were similar to serine peptidase inhibitors and four were similar to Bowman-Birk Inhibitors (BBIs). Phylogenetic analysis revealed that these sequences belong to a phylogenetic group of sugarcane BBIs that are potentially involved in plant defense against insect predation. The remaining four upregulated genes included serine peptidases and one homolog to the Arabidopsis AAA+ chaperone subunit ClpD, which is a member of the Clp protease system. Among the downregulated genes, five were homologous to serine peptidases and four were homologous to Arabidopsis Clp subunits (three homologous to Clp AAA+ chaperones and one to a ClpP-related ClpR subunit). Although the roles of serine peptidase inhibitors in plant defenses against herbivory have been extensively investigated, the roles of plant serine peptidases and the Clp protease system represent a new and underexplored field of study. The up- and downregulated D. saccharalis genes presented in this study may be candidate genes for the further investigation of the sugarcane response to herbivory.