New tumor markers: CA125 and beyond

Clinical implication of the serum galectin-1 expression in epithelial ovarian cancer patients

Background

galectin-1 has been implicated in tumor invasion and metastasis and is frequently over-expressed in epithelial ovarian cancer (EOC), but its potential as a biomarker remains unclear. In this novel study, we have explored the possible use of galectin-1 as a biomarker for EOC.

Methods

galectin-1 in sera was evaluated by ELISA in a pilot panel of EOC patients, healthy volunteers, patients with benign gynecologic tumors or other gynecologic malignancies. We examined galectin-1 expression in EOC tumor samples by Western Blot, qRT-PCR and immunohistochemistry. In vitro experiments were conducted to elucidate the biologic role of galectin-1 in EOC progression using over-expression of galectin-1 in OVCAR-3 cells. We also looked for the association of galectin-1 expression with clinic pathological variables and survival outcomes in EOC.

Results

A significant difference was detected in serum galectin-1 between EOC patients with non-metastatic and those with metastatic disease, but not between EOC patients and healthy volunteers. It increased in recurrent cases and decreased after debulking surgery. Both of galectin-1 mRNA and protein levels were increased in 90 % of the examined EOC tissue samples, compared with a wedge resection of a normal ovary. High galectin-1 in peritumor stroma was primarily detected in advanced stages of EOC. Over expression of galectin-1 significantly increased the ability of OVCAR-3 cells’ migration and invasion.

Conclusions

Our results suggest that galectin-1 might play a role in tumor progression and be associated with poor outcome in EOC. It could be a novel prognostic and progression biomarker in EOC patients.

CEA in evaluation of adnexal mass: retrospective cohort analysis and review of the literature

BACKGROUND

The aim of this study was to estimate the diagnostic accuracy of serum carcinoembryonic antigen (CEA) levels in conjunction with Ca125 in the triage of adnexal masses.

METHODS

This retrospective cohort study was carried out in 495 patients referred to the Gynecology Department at Carmel Medical Center due to adnexal mass, between 2005 and 2012. All patients underwent surgery with histopathologically confirmed diagnosis and preoperative measurements of serum Ca125 and CEA. For each marker, sensitivity, specificity, positive predictive value, negative predictive value and risk ratio were calculated.

RESULTS

Combination of CEA with Ca125, compared with Ca125 levels alone, yielded a nonsignificant effect on sensitivity (87.4% vs. 88.9%, respectively, p = 0.64) and specificity (79.3% vs. 74.3%, p = 0.18) in differentiating malignant from benign adnexal masses. CEA levels were higher in mucinous histological types, but were not helpful in detection of borderline tumors. Significantly higher CEA (21.4 ± 53.6 vs. 3.2 ± 11.9 ng/mL, p = 0.0002) and lower Ca125 values (103.9 ± 84.9 vs. 796 ± 1,331.5 U/mL, p = 0.0338) were demonstrated in the 17 metastatic cases compared with 181 primary ovarian malignancies.

CONCLUSIONS

The combination of the tumor markers CEA and Ca125 did not contribute significantly to the detection of malignant adnexal masses compared with Ca125 alone. As our results suggest that higher CEA levels could be useful in differentiating metastatic tumors from primary ovarian malignancy and in diagnosis of mucinous histology, this issue should be investigated in large, well-designed, prospective cohort trials.

CA 19-9 in evaluation of adnexal mass: retrospective cohort analysis and review of the literature

OBJECTIVE

The aim of this study was to estimate the diagnostic accuracy of serum marker CA 19-9 levels in the triage of adnexal masses.

METHODS

This retrospective cohort study was carried out in patients referred to the Gynecology Department at Carmel Medical Center due to adnexal masses. All patients underwent preoperative measurements of serum CA 125 and CA 19-9 and surgery with histopathologically confirmed diagnosis.

RESULTS

Between January 2005 and December 2012, 503 patients with adnexal masses were evaluated with serum tumor markers. Combination of CA 19-9 with CA 125, compared with CA 125 levels alone, suggested a nonsignificant effect on sensitivity (86.9% vs. 88.9%, respectively, p = 0.54) or specificity (79.5% vs. 73.5%, p = 0.1) in differentiating malignant from benign adnexal masses. CA 19-9 was not helpful in detecting mucinous histological types or borderline tumors. Mean CA 19-9 levels were higher in metastatic cases compared with primary ovarian malignancy (488.7 ± 1,457 vs. 46.3 ± 149.8 U/mL, respectively, p = 0.001). In mature cystic teratomas, mean CA 19-9 levels were higher and CA 125 levels were lower than in ovarian carcinoma (p = 0.049 and p = 0.0012, respectively).

CONCLUSIONS

The combination of the tumor markers CA 19-9 and CA 125 did not contribute significantly to the detection of malignant adnexal masses compared with CA 125 alone. As our results suggest that higher CA 19-9 levels could be helpful in differentiating metastatic tumors from primary ovarian malignancy; this issue should be investigated in large well-designed prospective cohort trials.

HE4, CA125, the Risk of Malignancy Algorithm and the Risk of Malignancy Index and complex pelvic masses - a prospective comparison in the pre-operative evaluation of pelvic masses in an Australian population

BACKGROUND

Human epididymis protein 4 (HE4) has been proposed as a novel biomarker for the diagnosis of epithelial ovarian cancer. Using HE4 and CA125, the risk of malignancy algorithm (ROMA) has been shown to be effective in the stratification of epithelial ovarian cancer risk.

AIMS

To determine the effectiveness of HE4 and ROMA in the diagnosis of malignancy of women presenting with a complex pelvic mass in an Australian population and to compare it with CA125 and the risk of malignancy index (RMI).

MATERIALS AND METHODS

Prospective recruitment of women was conducted between October 2012 and March 2014 (n = 50). CA125 and HE4 serum concentrations were collected and stored for subsequent analysis. Sensitivities, specificities, positive predictive values (PPV) and negative predictive values (NPV) were calculated for HE4, CA125, ROMA and the RMI. Receiver operating characteristic (ROC) area under the curves (AUC) were also calculated for comparison.

RESULTS

There was a higher HE4 level in women with ovarian cancer compared with women with benign pathology (P = 0.008), and this observation was seen in benign versus stage 1 ovarian cancer women (P = 0.025). HE4 had a better specificity than CA125 for the diagnosis of ovarian cancer in all women (P = 0.022), and this effect was also observed in premenopausal women (P = 0.012). Furthermore, the ROC-AUC for HE4 was superior than CA125 in all women (P = 0.0451). The ROMA algorithm was not inferior to the RMI calculation in this population.

CONCLUSIONS

In an Australian population, HE4 and ROMA are useful in the diagnosis of epithelial ovarian cancer.

Usefulness of human epididymis protein 4 in predicting cytoreductive surgical outcomes for advanced ovarian tubal and peritoneal carcinoma

OBJECTIVE

Human epididymis protein 4 (HE4) is a promising biomarker of epithelial ovarian cancer (EOC). But its role in assessing the primary optimal debulking (OD) of EOC remains unknown. The purpose of this study is to elucidate the ability of preoperative HE4 in predicting the primary cytoreductive outcomes in advanced EOC, tubal or peritoneal carcinoma.

METHODS

We reviewed the records of 90 patients with advanced ovarian, tubal or peritoneal carcinoma who underwent primary cytoreduction at the Department of Obstetrics and Gynecology of Peking University People's Hospital between November 2005 and October 2010. Preoperative serum HE4 and CA125 levels were detected with EIA kit. A receiver operating characteristic (ROC) curve was used to determine the most useful HE4 cut-off value. Logistic regression analysis was performed to identify significant preoperative clinical characteristics to predict optimal primary cytoreduction.

RESULTS

OD was achieved in 47.7% (43/48) of patients. The median preoperative HE4 level for patients with OD vs. suboptimal debulking was 423 and 820 pmol/L, respectively (P<0.001). The areas under the ROC curve for HE4 and CA125 were 0.716 and 0.599, respectively (P=0.080). The most useful HE4 cut-off value was 473 pmol/L. Suboptimal cytoreduction was obtained in 66.7% (38/57) of cases with HE4 ≥473 pmol/L compared with only 27.3% (9/33) of cases with HE4 <473 pmol/L. At this threshold, the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) for diagnosing suboptimal debulking were 81%, 56%, 67%, and 73%, respectively. Logistic regression analysis showed that the patients with HE4 ≥473 pmol/L were less likely to achieve OD (odds ratio =5.044, P=0.002).

CONCLUSIONS

Preoperative serum HE4 may be helpful to predict whether optimal cytoreductive surgery could be obtained or whether extended cytoreduction would be needed by an interdisciplinary team.

Nucleic Acid Aptamers: An Emerging Tool for Biotechnology and Biomedical Sensing

Detection of small molecules or proteins of living cells provides an exceptional opportunity to study genetic variations and functions, cellular behaviors, and various diseases including cancer and microbial infections. Our aim in this review is to give an overview of selected research activities related to nucleic acid-based aptamer techniques that have been reported in the past two decades. Limitations of aptamers and possible approaches to overcome these limitations are also discussed.

Expression of the Carboxy-Terminal Portion of MUC16/CA125 Induces Transformation and Tumor Invasion

The CA125 antigen is found in the serum of many patients with serous ovarian cancer and has been widely used as a disease marker. CA125 has been shown to be an independent factor for clinical outcome in this disease. In The Cancer Genome Atlas ovarian cancer project, MUC16 expression levels are frequently increased, and the highest levels of MUC16 expression are linked to a significantly worse survival. To examine the biologic effect of the proximal portion of MUC16/CA125, NIH/3T3 (3T3) fibroblast cell lines were stably transfected with the carboxy elements of MUC16. As few as 114 amino acids from the carboxy-terminal portion of MUC16 were sufficient to increase soft agar growth, promote matrigel invasion, and increase the rate of tumor growth in athymic nude mice. Transformation with carboxy elements of MUC16 was associated with activation of the AKT and ERK pathways. MUC16 transformation was associated with up-regulation of a number of metastases and invasion gene transcripts, including IL-1β, MMP2, and MMP9. All observed oncogenic changes were exclusively dependent on the extracellular “ectodomain” of MUC16. The biologic impact of MUC16 was also explored through the creation of a transgenic mouse model expressing 354 amino acids of the carboxy-terminal portion of MUC16 (MUC16^c354). Under a CMV, early enhancer plus chicken β actin promoter (CAG) MUC16^c354 was well expressed in many organs, including the brain, colon, heart, kidney, liver, lung, ovary, and spleen. MUC16^c354 transgenic animals appear to be viable, fertile, and have a normal lifespan. However, when crossed with p53-deficient mice, the MUC16^c354:p53^+/- progeny displayed a higher frequency of spontaneous tumor development compared to p53^+/- mice alone. We conclude that the carboxy-terminal portion of the MUC16/CA125 protein is oncogenic in NIH/3T3 cells, increases invasive tumor properties, activates the AKT and ERK pathways, and contributes to the biologic properties of ovarian cancer.

HE4 in the differential diagnosis of ovarian masses

Ovarian masses, a common finding among pre- and post-menopausal women, can be benign or malignant. Ovarian cancer is the leading cause of death from gynecologic malignancy among women living in industrialized countries. According to the current guidelines, measurement of CA125 tumor marker remains the gold standard in the management of ovarian cancer. Recently, HE4 has been proposed as emerging biomarker in the differential diagnosis of adnexal masses and in the early diagnosis of ovarian cancer. Discrimination of benign and malignant ovarian tumors is very important for correct patient referral to institutions specialized in care and management of ovarian cancer. Tumor markers CA125 and HE4 are currently incorporated into the "Risk of Ovarian Malignancy Algorithm" (ROMA) with menopausal status for discerning malignant from benign pelvic masses. The availability of a good biomarker such as HE4, closely associated with the differential and early diagnosis of ovarian cancer, could reduce medical costs related to more expensive diagnostic procedures. Finally, it is important to note that HE4 identifies platinum non-responders thus enabling a switch to second line chemotherapy and improved survival.

Differences in the Molecular Species of CA125 Across the Phases of the Menstrual Cycle

BACKGROUND

CA125, a tumor-associated antigen, is primarily used to monitor epithelial ovarian cancer. There is evidence that different species of CA125 exist; however, it is not known if any of these species are present in healthy women during the menstrual cycle and if they are associated with serum concentrations of CA125. The purpose of this study was to determine if the molecular species of CA125 differ across the three phases of the menstrual cycle in healthy women.

METHODS

Healthy, Caucasian women between the ages of 18 and 39 were enrolled using strict criteria to exclude factors known to contribute to CA125 fluctuations. Menstrual cycle regularity was determined using calendars maintained by participants for 3 months. After cycle regularity was established, blood was drawn at three time points for Western blot analysis.

RESULTS

Western blot analysis yielded 17 distinct profiles (i.e., patterns of species) of CA125, with 80% of the sample exhibiting 5 common profiles. No differences in demographic characteristics and serum CA125 values were found among the various CA125 profiles.

CONCLUSIONS

Different molecular species of CA125 exist in healthy women with regular menstrual cycles. These data provide evidence that CA125 is not a homogeneous molecular species. Future research should evaluate the molecular composition and the clinical importance of these species.

GyneScan: an improved online paradigm for screening of ovarian cancer via tissue characterization

Ovarian cancer is the fifth highest cause of cancer in women and the leading cause of death from gynecological cancers. Accurate diagnosis of ovarian cancer from acquired images is dependent on the expertise and experience of ultrasonographers or physicians, and is therefore, associated with inter observer variabilities. Computer Aided Diagnostic (CAD) techniques use a number of different data mining techniques to automatically predict the presence or absence of cancer, and therefore, are more reliable and accurate. A review of published literature in the field of CAD based ovarian cancer detection indicates that many studies use ultrasound images as the base for analysis. The key objective of this work is to propose an effective adjunct CAD technique called GyneScan for ovarian tumor detection in ultrasound images. In our proposed data mining framework, we extract several texture features based on first order statistics, Gray Level Co-occurrence Matrix and run length matrix. The significant features selected using t-test are then used to train and test several supervised learning based classifiers such as Probabilistic Neural Networks (PNN), Support Vector Machine (SVM), Decision Tree (DT), k-Nearest Neighbor (KNN), and Naive Bayes (NB). We evaluated the developed framework using 1300 benign and 1300 malignant images. Using 11 significant features in KNN/PNN classifiers, we were able to achieve 100% classification accuracy, sensitivity, specificity, and positive predictive value in detecting ovarian tumor. Even though more validation using larger databases would better establish the robustness of our technique, the preliminary results are promising. This technique could be used as a reliable adjunct method to existing imaging modalities to provide a more confident second opinion on the presence/absence of ovarian tumor.

Combined detection of sialic acid and hydroxyproline in diagnosis of ovarian cancer and its comparison with human epididymis protein 4 and carbohydrate antigen 125

BACKGROUND

Elevated serum sialic acid (SA) and hydroxyproline (Hyp) concentrations have been found in a variety of malignant cancers. We simultaneously detect serum concentrations of SA and Hyp (SA&Hyp) in ovarian cancer, and compare its diagnostic value with classic tumor markers-human epididymis protein 4 (HE4) and carbohydrate antigen 125 (CA125).

METHODS

Serum concentrations of SA&Hyp, HE4 and CA125A were detected in a total of 767 serum samples collected from 484 patients with gynecologic diseases, 180 healthy individuals, 45 pregnant women and 58 patients with renal failure using chemical colorimetry and electrochemiluminescence immunoassay (ECLIA), respectively. Risk of ovarian malignancy algorithm (ROMA) was calculated based on HE4 and CA125 values.

RESULTS

Serum SA&Hyp concentrations were influenced significantly by renal failure and pregnancy but not age and menopausal status. The median concentrations of SA&Hyp, HE4 and CA125 in patients with ovarian cancer were 119.0 U/ml, 190.2 pmol/l and 366.0 pmol/l, which were significantly higher than concentrations in patients with benign gynecologic diseases (P<0.001). SA&Hyp showed a significantly higher AUC than HE4 and CA125 in the diagnosis of gynecologic malignancies (P<0.001), while no significance was found when compared with ROMA. Specially, SA&Hyp in 48.3% subjects (29/60) diagnosed as positive before primary surgery showed negative after surgery.

CONCLUSIONS

Renal failure and pregnancy are the main source for increased false positive of SA and Hyp. Compared with HE4 and CA125, SA&Hyp shows a better diagnosis value and can be used in the diagnosis and dynamic monitoring of gynecologic pelvic malignancies, while no statistical significance was found compared with ROMA.

MUC16: molecular analysis and its functional implications in benign and malignant conditions

MUC16 is a high-molecular-weight glycoprotein that is expressed by the various epithelial cell surfaces of the human body to protect the cell layer from a myriad of insults. It is the largest mucin known to date, with an ∼22,152 aa sequence. Structurally, MUC16 is characterized into 3 distinct domains: the amino terminal, the tandem repeat, and the carboxyl terminal domain, with each domain having unique attributes. The extracellular portion of MUC16 is shed into the bloodstream and serves as a biomarker for diagnosing and monitoring patients with cancer; however, its functional role in cancer is yet to be elucidated. Several factors contribute to this challenge, which include the large protein size; the extensive glycosylation that the protein undergoes, which confers functional heterogeneity; lack of specific antibodies that detect the unique domains of MUC16; and the existence of splicing variants. Despite these limitations, MUC16 has been established as a molecule of significant application in cancer. Hence, in this review, we discuss the various aspects of MUC16, which include its discovery, structure, and biological significance both in benign and malignant conditions with an attempt to dissect its functional relevance

Ovarian Tissue Characterization in Ultrasound

Ovarian cancer is the most common cause of death among gynecological malignancies. We discuss different types of clinical and nonclinical features that are used to study and analyze the differences between benign and malignant ovarian tumors. Computer-aided diagnostic (CAD) systems of high accuracy are being developed as an initial test for ovarian tumor classification instead of biopsy, which is the current gold standard diagnostic test. We also discuss different aspects of developing a reliable CAD system for the automated classification of ovarian cancer into benign and malignant types. A brief description of the commonly used classifiers in ultrasound-based CAD systems is also given.

Proteomics analysis for finding serum markers of ovarian cancer

A combination of peptide ligand library beads (PLLB) and 1D gel liquid chromatography-mass spectrometry/mass spectrometry (1DGel-LC-MS/MS) was employed to analyze serum samples from patients with ovarian cancer and from healthy controls. Proteomic analysis identified 1200 serum proteins, among which 57 proteins were upregulated and 10 were downregulated in the sera from cancer patients. Retinol binding protein 4 (RBP4) is highly upregulated in the ovarian cancer serum samples. ELISA was employed to measure plasma concentrations of RBP4 in 80 samples from ovarian cancer patients, healthy individuals, myoma patients, and patients with benign ovarian tumor, respectively. The plasma concentrations of RBP4 ranging from 76.91 to 120.08 ng/mL with the mean value 89.13 ± 1.67 ng/mL in ovarian cancer patients are significantly higher than those in healthy individuals (10.85 ± 2.38 ng/mL). Results were further confirmed with immunohistochemistry, demonstrating that RBP4 expression levels in normal ovarian tissue were lower than those in ovarian cancer tissues. Our results suggested that RBP4 is a potential biomarker for diagnostic of screening ovarian cancer.

Diagnostic potential of multimodal imaging of ovarian tissue using optical coherence tomography and second-harmonic generation microscopy

Ovarian cancer is particularly deadly because it is usually diagnosed after it has metastasized. We have previously identified features of ovarian cancer using optical coherence tomography (OCT) and second-harmonic generation (SHG) microscopy (targeting collagen). OCT provides an image of the ovarian microstructure while SHG provides a high-resolution map of collagen fiber bundle arrangement. Here we investigated the diagnostic potential of dual-modality OCT and SHG imaging. We conducted a fully crossed, multi-reader, multi-case study using seven human observers. Each observer classified 44 ex vivo mouse ovaries (16 normal and 28 abnormal) as normal or abnormal from OCT, SHG, and simultaneously viewed, co-registered OCT and SHG images and provided a confidence rating on a six-point scale. We determined the average receiver operating characteristic (ROC) curves, area under the ROC curves (AUC), and other quantitative figures of merit. The results show that OCT has diagnostic potential with an average AUC of 0.91 ± 0.06. The average AUC for SHG was less promising at 0.71 ± 0.13. The average AUC for simultaneous OCT and SHG was not significantly different from OCT alone, possibly due to the limited SHG field of view. The high performance of OCT and co-registered OCT and SHG warrants further investigation.

Cancer antigen 125, human epididymis 4, kallikrein 6, osteopontin and soluble mesothelin-related peptide immunocomplexed with immunoglobulin M in epithelial ovarian cancer diagnosis

BACKGROUND

Human epididymis protein 4 (HE4), kallikrein 6 (KLK6), osteopontin (OPN) and soluble mesothelin-related peptide (SMRP) are new promising biomarkers that could integrate CA125 in epithelial ovarian cancer (EOC) diagnosis. The autoantibody response to tumor antigens is a potential tool for improving the diagnostic performances of biomarkers. The aim of this study was to assess the diagnostic potential of these biomarkers in the form of free markers and immunocomplexed with immunoglobulin M (IgM). Moreover, we analyzed the association between these markers and clinico-pathological characteristics of EOC patients.

METHODS

Serum and plasma samples of 60 healthy controls, 60 ovarian benign cysts, 60 endometriosis and 60 EOCs, collected before any treatment, were tested for CICs and free antigens by immunoassays.

RESULTS

Immunocomplexes were characterized by poor sensitivity and specificity, since they allowed the detection only of a small number of EOC patients and were increased in patients with benign gynecological pathologies. However, the markers in the form of free antigens showed good diagnostic performances. Of note, CA125 and HE4 showed high sensitivity in the detection of the malignancy and HE4 emerged as a useful biomarker in differential diagnosis between EOC and endometriosis. Finally, elevated KLK6 and OPN, were associated with advanced FIGO stage, high grade disease, suboptimally debulked tumor and ascites.

CONCLUSIONS

This study confirms the diagnostic role of CA125, HE4, KLK6, OPN and SMRP, and for the first time showed that CA125, HE4, KLK6, OPN and SMRP immunocomplexed with IgM are not a potential tool for EOC diagnosis.

Pattern of tissue expression of CA-125 and HE4 in primary epithelial ovarian tumours and correlation with serum CA-125 levels

The objective of this study is to assess tissue expression of CA-125 and HE4 protein in primary benign and malignant epithelial tumours of the ovary and correlate with serum CA-125 levels. A total of 100 formalin-fixed, paraffin embedded sections of ovarian tumours which included serous adenoma (11), mucinous adenoma (42), serous carcinoma (20), mucinous carcinoma (12) and endometrioid carcinoma (15), histologically diagnosed between 1st January 2004 to 31st December 2012 at the University Malaya Medical Centre, were stained for HE4 (rabbit polyclonal antibody, Abcam, UK) and CA-125 (mouse monoclonal antibody clone: OC125, Cell Marque Corporation, Rocklin, California, USA). Pre-operative serum CA-125 levels were obtained from the laboratory information system. Immunoscore (I score) for HE4 and CA-125 was given based on the intensity of staining and percentage of positive tumour cells and considered significant when it was >50 (intensity of staining multiplied by percentage of positive tumour cells). Serum CA-125 levels were compared with the I score of HE4 and CA-125 in tissues. We noted that the CA-125 levels in serum and tissues were significantly raised in malignant compared to benign ovarian tumours (p value<0.05). Tissue expression of HE4 protein was also significantly raised in malignant tumours compared to benign tumours (p value<0.05). We conclude that HE4 can be a useful tissue immunomarker in addition to CA-125.

Preoperative HE4 and ROMA values do not improve the CA125 diagnostic value for borderline tumors of the ovary (BOT) - a study of the TOC Consortium

Background

Borderline tumors of the ovary (BOT) are a distinct entity of ovarian tumors, characterized by lack of stromal invasion. Recent studies postulated that the presence of invasive implants, incomplete staging, fertility sparing surgery and residual tumor after surgery are major prognostic factors for BOT. There are no biomarkers that can predict BOT or the presence of invasive implants.

Objective

The aim of our study was to assess the value of CA125 and HE4 alone, or within ROMA score for detecting BOT, and for predicting the presence of invasive implants.

Methods

Retrospective, monocentric study on 167 women diagnosed with BOT or benign ovarian masses. Serum HE4, CA125 levels and ROMA were assessed preoperatively. Due to low number of BOT with invasive implants, we performed an unmatched analysis (consecutive patients) and a matched analysis (according to age and histology) to compare BOT with invasive implants, BOT without invasive implants and benign disease.

Results

There were no significant differences in the HE4 and CA125 expressions in the three groups of patients (p = 0.984 and p = 0.141, respectively). The ROC analysis showed that CA125 alone is superior to ROMA and HE4 in discriminating patients with BOT with invasive implants from patients with benign diseases and BOT without invasive implants. A newly established score, ROMABOT, did not perform better than ROMA. The analysis of the matched groups revealed similar results as the analysis of all samples.

Conclusions

Both HE4 and CA125 are not reliable biomarkers for the diagnosis of BOT or for predicting the presence of invasive implants.

HE4, Ca125 and ROMA algorithm for differential diagnosis between benign gynaecological diseases and ovarian cancer

The aim of this study is to evaluate the diagnostic performance of human epididymis protein 4 (HE4), cancer antigen 125 (Ca125) and the risk of ovarian malignancy algorithm (ROMA) in discriminating ovarian cancer from other benign gynaecological diseases. Serum levels of HE4 and Ca125 were measured in 119 women with benign gynaecological diseases, 29 patients with primary ovarian cancer, 32 patients with ovarian cancer on chemotherapy treatment (18 of them with progressive disease), 6 patients treated and free of disease and 32 healthy women. Sensitivity, specificity, positive and negative predictive values and positive and negative likelihood ratios (LR ±) were calculated. Receiver operator characteristic (ROC) curves were constructed, and the areas under the curve (AUC) were calculated. High serum levels for HE4, Ca125 and ROMA were observed in cancer patients. HE4 was elevated in 12.6 %, Ca125 in 21 % and ROMA in 9.2 % in the benign group, but HE4 was not elevated in endometriosis. The AUC values for HE4, Ca125 and ROMA were 0.92, 0.911 and 0.945 respectively. The sensitivity for discriminating ovarian cancer from benign gynaecological diseases was 86.2 % for HE4 and Ca125 and 93.1 % for ROMA. The specificity was 87.4, 78.9 and 90.7 % for HE4, Ca125 and ROMA. The overall positive likelihood ratio (LR+) was 6.84 for HE4, 4.1 for Ca125 and 10.01 for ROMA. In premenopausal women, LR + was 11.86 for HE4, 5.11 for ROMA and 2.02 for Ca125. HE4 might be significant in the differential diagnosis of ovarian cancer. HE4 seems to be superior to Ca125 in terms of diagnostic performance of all premenopausal women. ROMA could help to discriminate in cases with any doubt with a high diagnostic accuracy.

A case of recurrent, bilateral ovarian mature teratoma in a young woman

Background

Ovarian mature cystic teratomas are common, benign, pelvic tumors that are easily detected by pelvic ultrasonography. However, patients with recurrent teratomas are rarely noted, and cases of bilateral teratomas are even less common.

Case presentation

A young woman with a recurrent, right ovarian teratoma had previously undergone surgical removal 2 times. After the second surgery, she underwent regular out-patient follow-up, and no residual tumor was observed. However, 3 years after the second surgery, she developed recurrent, bilateral ovarian teratomas, in conjunction with elevated carbohydrate antigen-125 levels.

Conclusion

Routine checking of the contralateral ovary during the surgical procedure along with frequent postoperative pelvic sonography for both ovaries in the patient at high recurrence rich is necessary. Additionally, the features of that kind tumor may mislead the surgeon into performing more extensive surgery that might compromise the fertility of young patients.

MicroRNA-25 expression level is an independent prognostic factor in epithelial ovarian cancer

OBJECTIVES

The present study aimed to investigate the expression level of MicroRNA-25 (miR-25) in epithelial ovarian cancer (EOC) tissue, and examine its relationship with clinicopathological factors and prognosis of patients with EOC.

METHODS

Expression levels of miR-25 in 86 pairs of EOC tissue and adjacent normal tissue were measured by quantitative real-time reverse-transcription polymerase chain reaction (qRT-PCR). The comparison of the expression level of miR-25 between EOC tissue and adjacent normal tissue was performed using the two-sample Student's t test. The correlation between the expression of miR-25 and clinicopathological characters was assessed with the two-sample Student's t test. The overall survival was analyzed by log-rank test, and survival curves were plotted according to Kaplan-Meier.

RESULTS

The expression level of miR-25 in EOC tissue was significantly higher than in adjacent normal tissue. The miR-25 expression level was significantly positively correlated with tumor stage, histology, and regional lymph node involvement (P < 0.05). Kaplan-Meier analysis showed that patients with higher levels of miR-25 had significantly poorer survival than those with lower expression of this miRNA in patients, with a 6-year overall survival of 15.96 and 45.89 %, respectively, (P = 0.001). In the multivariate Cox proportional hazards analysis, high miR-25 expression was independently associated with poor survival (P = 0.002; HR = 2.119; 95 % CI = 1.568-3.221).

CONCLUSION

The increased expression of miR-25 is closely related to poor prognosis of EOC, indicating that miR-25 may serve as a predictive biomarker for the prognosis of EOC.

Vibrational biospectroscopy coupled with multivariate analysis extracts potentially diagnostic features in blood plasma/serum of ovarian cancer patients

Despite numerous advances in "omics" research, early detection of ovarian cancer still remains a challenge. The aim of this study was to determine whether attenuated total reflection Fourier-transform infrared (ATR-FTIR) or Raman spectroscopy could characterise alterations in the biomolecular signatures of human blood plasma/serum obtained from ovarian cancer patients compared to non-cancer controls. Blood samples isolated from ovarian cancer patients (n = 30) and healthy controls (n = 30) were analysed using ATR-FTIR spectroscopy. For comparison, a smaller cohort of samples (n = 8) were analysed using an InVia Renishaw Raman spectrometer. Resultant spectra were pre-processed prior to being inputted into principal component analysis (PCA) and linear discriminant analysis (LDA). Statistically significant differences (P < 0.001) were observed between spectra of ovarian cancer versus control subjects for both biospectroscopy methods. Using a support vector machine classifier for Raman spectra of blood plasma, a diagnostic accuracy of 74% was achieved, while the same classifier showed 93.3% accuracy for IR spectra of blood plasma. These observations suggest that a biospectroscopy approach could be applied to identify spectral alterations associated with the presence of insidious ovarian cancer.

Towards an animal model of ovarian cancer: cataloging chicken blood proteins using combinatorial peptide ligand libraries coupled with shotgun proteomic analysis for translational research

Epithelial ovarian cancer is the most deadly gynecological cancer around the world, with high morbidity in industrialized countries. Early diagnosis is key in reducing its morbidity rate. Yet, robust biomarkers, diagnostics, and animal models are still limited for ovarian cancer. This calls for broader omics and systems science oriented diagnostics strategies. In this vein, the domestic chicken has been used as an ovarian cancer animal model, owing to its high rate of developing spontaneous epithelial ovarian tumors. Chicken blood has thus been considered a surrogate reservoir from which cancer biomarkers can be identified. However, the presence of highly abundant proteins in chicken blood has compromised the applicability of proteomics tools to study chicken blood owing to a lack of immunodepletion methods. Here, we demonstrate that a combinatorial peptide ligand library (CPLL) can efficiently remove highly abundant proteins from chicken blood samples, consequently doubling the number of identified proteins. Using an integrated CPLL-1DGE-LC-MSMS workflow, we identified a catalog of 264 unique proteins. Functional analyses further suggested that most proteins were coagulation and complement factors, blood transport and binding proteins, immune- and defense-related proteins, proteases, protease inhibitors, cellular enzymes, or cell structure and adhesion proteins. Semiquantitative spectral counting analysis identified 10 potential biomarkers from the present chicken ovarian cancer model. Additionally, many human homologs of chicken blood proteins we have identified have been independently suggested as diagnostic biomarkers for ovarian cancer, further triangulating our novel observations reported here. In conclusion, the CPLL-assisted proteomic workflow using the chicken ovarian cancer model provides a feasible platform for translational research to identify ovarian cancer biomarkers and understand ovarian cancer biology. To the best of our knowledge, we report here the most comprehensive survey of the chicken blood proteome to date.

BRCA1 promoter hypermethylation in sporadic epithelial ovarian carcinoma: Association with low expression of BRCA1, improved survival and co-expression of DNA methyltransferases

The breast cancer susceptibility gene 1 (BRCA1) inactivation in sporadic epithelial ovarian carcinoma (EOC) is common and low BRCA1 expression is associated with promoter hypermethylation. The clinical validation of BRCA1 methylation as a prognostic marker in EOC remains unresolved. The aim of the present study was to determine the aberrant promoter methylation of BRCA1 in benign and malignant ovarian tumor tissues, to establish the association with the clinicopathological significance and the prognostic value. Additionally, the contribution of DNA methyltransferase (DNMT) expression to BRCA1 promoter hypermethylation was determined. The rate of BRCA1 methylation was observed to be 35.2% (50/142) in the EOCs; however, no methylation (0/32) was observed in the benign tumors. BRCA1 methylation was significantly associated with the downregulation of BRCA1 expression (P<0.001) and the frequency of BRCA1 methylation was greater in the carcinomas of patients whose tumor was bilateral than that of patients with a unilateral carcinoma (P=0.015). BRCA1 methylation was significantly associated with the preoperative serum carbohydrate antigen-125 level (P=0.013), improved overall survival (P=0.005) and disease-free survival (P=0.007). In addition, a significant correlation was observed between the co-expression of DNMTs and the methylation status of BRCA1. Thus, the present study provided support for BRCA1 promoter hypermethylation as a prognostic marker for survival in sporadic EOC, and co-expression of DNMTs was observed to contribute to BRCA1 promoter hypermethylation.

Aberrant glycosylation as biomarker for cancer: focus on CD43

Glycosylation is a posttranslational modification of proteins playing a major role in cell signalling, immune recognition, and cell-cell interaction because of their glycan branches conferring structure variability and binding specificity to lectin ligands. Aberrant expression of glycan structures as well as occurrence of truncated structures, precursors, or novel structures of glycan may affect ligand-receptor interactions and thus interfere with regulation of cell adhesion, migration, and proliferation. Indeed, aberrant glycosylation represents a hallmark of cancer, reflecting cancer-specific changes in glycan biosynthesis pathways such as the altered expression of glycosyltransferases and glycosidases. Most studies have been carried out to identify changes in serum glycan structures. In most cancers, fucosylation and sialylation are significantly modified. Thus, aberrations in glycan structures can be used as targets to improve existing serum cancer biomarkers. The ability to distinguish differences in the glycosylation of proteins between cancer and control patients emphasizes glycobiology as a promising field for potential biomarker identification. In this review, we discuss the aberrant protein glycosylation associated with human cancer and the identification of protein glycoforms as cancer biomarkers. In particular, we will focus on the aberrant CD43 glycosylation as cancer biomarker and the potential to exploit the UN1 monoclonal antibody (UN1 mAb) to identify aberrant CD43 glycoforms.

A study of ovarian cancer biomarker amplification using ultrasound for early stage detection

The application of serum biomarker to ovarian tumors for early stage detection and clinical diagnosis is a rapidly expanding research area. The problem with conventional markers is that they are often released too late or at too low a level to be detected in time to trigger effective treatment. Ultrasound has been used to influence bio-effects in living cells, but there is only one reported case of the use of ultrasound to enhance the release of a biomarker (Carcinoembryonic antigen CEA). In this study we report the use of ultrasound to enhance the release of a combination of ovarian cancer biomarkers (CA125 and CA19-9) to help in the diagnosis of ovarian cancer at an early stage. The results indicated that after 5 min sonication at a frequency of 1 MHz and intensity of 0.3 W cm(-2), the CA125 and CA19-9 levels were increased by 2.02 and 4.21-fold respectively. These findings suggest that ultrasonic treatment can be used to enhance the release of serum biomarkers from ovarian tumors.

Expression of stress-induced phosphoprotein1 (STIP1) is associated with tumor progression and poor prognosis in epithelial ovarian cancer

Stress-induced phosphoprotein1 (STIP1) is a candidate biomarker in epithelial ovarian cancer (EOC). In this study, we investigated in detail the expression of STIP1, as well as its functions, in EOC. STIP1 expression was assessed by immunohistochemistry (IHC) and the results were compared with clinicopathologic factors, including survival data. The effects of STIP1 gene silencing via small interfering RNA (siRNA) were examined in EOC cells and a xenograft model. The expression of STIP1 protein in EOC was significantly higher than in the other study groups (P < 0.001), and this increase of expression was significantly associated with tumor stage (P = 0.005), tumor grade (P = 0.029), and lymph node metastasis (P = 0.020). In multivariate analysis, overall survival in EOC was significantly shorter in cases with high STIP1 expression (HR = 2.78 [1.01-7.63], P = 0.047). STIP1 silencing in EOC cells resulted in inhibition of cell proliferation and invasion. In addition, in vivo experiments using STIP1 siRNA clearly showed a strong inhibition of tumor growth and a modulation of expression of prosurvival and apoptotic genes, further suggesting that STIP1 silencing can prevent cell proliferation and invasion. In conclusion, increased STIP1 expression is associated with poor survival outcome in EOC, and STIP1 may represent a useful therapeutic target in EOC patients.

Glycoproteomic identification of potential glycoprotein biomarkers in ovarian cancer proximal fluids

BACKGROUND

Ovarian cancer is the leading cause of death among all gynecological disorders. Aberrant glycosylation, or more specifically, increased sialylation of proteins has been observed in ovarian cancer. Several sialyltransferase genes have been shown to be up-regulated at both the mRNA and protein levels in a number of cancers, including that of the ovary. ST6GAL1 (β-galactosamide α2,6-sialyltranferase 1) gene expression has previously been shown to be upregulated in ovarian cancers of all major subtypes.

METHODS

We have identified the sialome (i.e., sialic acid containing glycoproteins) of biological fluids from ovarian cancer patients and ovarian cancer cell lines utilizing tandem mass spectrometry as a potential pool of novel biomarker candidates. The sialoglycopeptides from four ovarian cancer cell lines, pooled ascites (n=13) and ovarian cyst (n=14) fluids from ovarian cancer patients were enriched utilizing affinity to agarose-immobilized Elderberry lectin (Sambucus nigra agglutinin) and magnetic hydrazide beads folowing periodate-mediated oxidation of sialic acids. Benign ovarian cyst (n=10) and peritoneal effusion (n=20) fluids were analyzed in the same fashion to serve as controls. PNGase F deglycosylated peptides were identified using electrospray ionization-LTQ Orbitrap tandem mass spectrometry.

RESULTS

In all of the samples analyzed in the glycoproteomic portion of the study, we have identified 579 glycosylation sites on 333 proteins. Of these, 13 were exclusively identified in biological fluids from ovarian cancer patients, and another eight were common to these fluids and the ovarian cancer cell line supernatants.

CONCLUSIONS

The proteins identified in the present study could form the basis for future studies examining and quantifying their sialylation status as biomarkers of ovarian cancer.

Ovarian tumor characterization and classification using ultrasound-a new online paradigm

Among gynecological malignancies, ovarian cancer is the most frequent cause of death. Image mining algorithms have been predominantly used to give the physicians a more objective, fast, and accurate second opinion on the initial diagnosis made from medical images. The objective of this work is to develop an adjunct computer-aided diagnostic technique that uses 3D ultrasound images of the ovary to accurately characterize and classify benign and malignant ovarian tumors. In this algorithm, we first extract features based on the textural changes and higher-order spectra information. The significant features are then selected and used to train and evaluate the decision tree (DT) classifier. The proposed technique was validated using 1,000 benign and 1,000 malignant images, obtained from ten patients with benign and ten with malignant disease, respectively. On evaluating the classifier with tenfold stratified cross validation, the DT classifier presented a high accuracy of 97 %, sensitivity of 94.3 %, and specificity of 99.7 %. This high accuracy was achieved because of the use of the novel combination of the four features which adequately quantify the subtle changes and the nonlinearities in the pixel intensity variations. The rules output by the DT classifier are comprehensible to the end-user and, hence, allow the physicians to more confidently accept the results. The preliminary results show that the features are discriminative enough to yield good accuracy. Moreover, the proposed technique is completely automated, accurate, and can be easily written as a software application for use in any computer.

Is there any diagnostic value of serum protease-activated receptor-1 (PAR1) levels on determination of epithelial ovarian carcinoma?

The role of molecular markers in ovarian cancer is still a matter of debate. Protease-activated receptor-1 (PAR1) might be a good marker in some types of malignant tumors and might provide useful information in diagnosis and prognosis. The objective of this study was to evaluate the serum levels of PAR1 in regard to diagnostic, predictive, and prognostic value in epithelial ovarian cancer (EOC) patients. Forty-four EOC patients were enrolled in this study. Serum PAR1 levels were determined by enzyme-linked immunosorbent assay (ELISA) method. Twenty-five age- and sex-matched healthy controls were included in the analysis. The median age of patients was 58 years old, ranging from 22 to 83 years, where most of them had advanced disease (stage III-IV) (n = 40, 91%). The median serum PAR1 values were significantly elevated in patients compared to healthy controls (1.52 ng/ml vs. 1.13 ng/ml) (p = 0.03), whereas any clinical variables including response to chemotherapy did not associate with serum assay (p > 0.05). Progression-free survival (PFS) and overall survival (OS) of patients who did not respond to chemotherapy nor had platinum resistance in relapsed disease were poorer in the analyses. On the other hand, serum PAR1 levels showed no significant adverse effect on either PFS or OS (p = 0.43 and p = 0.49, respectively). These results proved that baseline serum PAR1 levels of patients with EOC were significantly higher than those of healthy people. However, these assays suggested no predictive or prognostic value in this group of patients.

Clinical value of protein expression of kallikrein-related peptidase 7 (KLK7) in ovarian cancer

Expression of the kallikrein-related peptidase 7 (KLK7) is dysregulated in ovarian cancer. We assessed KLK7 expression by ELISA and quantitative immunohistochemistry and analyzed its association with clinicopathological parameters and patients’ outcome. KLK7 antigen concentrations were determined in tumor tissue extracts of 98 ovarian cancer patients by ELISA. For analysis of KLK7 immunoexpression in ovarian cancer tissue microarrays, a manual quantitative scoring system as well as a software tool for quantitative high-throughput automated image analysis was used. In immunohistochemical analyses, expression levels of KLK7 were not associated with patients’ outcome. However, in multivariate analyses, KLK7 antigen levels in tumor tissue extracts were significantly associated with both overall and progression-free survival: ovarian cancer patients with high KLK7 levels had a significantly, 2-fold lower risk of death [hazard ratio (HR)=0.51, 95% confidence interval (CI)=0.29–0.90, p=0.019] or relapse [HR=0.47, 95% CI=0.25–0.91, p=0.024), as compared with patients who displayed low KLK7 levels. Our results indicate that – in contrast to earlier findings – high KLK7 antigen levels in tumor tissue extracts may be associated with a better prognosis of ovarian cancer patients.

A novel angiomatoid epithelioid sarcoma cell line, Asra-EPS, forming tumors with large cysts containing hemorrhagic fluid in vivo

BACKGROUND

Whereas we can use several human epithelioid sarcoma (ES) cell lines for basic and preclinical research, an angiomatoid ES cell line has not been reported to date. We have treated a case of an angiomatoid ES developing in the right upper extremity of a 67-year-old man.

METHODS

An angiomatoid ES cell line, Asra-EPS was newly established and characterized for its morphology, growth rate and chromosomal analysis. Tumorigenicity of Asra-EPS cells was also analyzed in athymic nude mice.

RESULTS

Asra-EPS cells were round, polygonal or spindle-shaped with an abundant cytoplasm and have been maintained continuously in vitro for over 150 passages during more than 15 months. These cells secreted cancer antigen 125 (CA 125), interleukin-6 (IL-6) and vascular endothelial growth factor (VEGF) into the culture medium. Asra-EPS cells were tumorigenic when implanted in nude mice with tumors reaching a volume of 1000 mm3 at around 50 days. Histological features of tumors formed in mice were essentially the same as those of the original tumor, exhibiting a multinodular proliferation of eosinophilic epithelioid and spindle-shaped cells with prominent areas of hemorrhage and blood-filled cystic spaces strikingly corresponding to the potential of hemorrhagic cyst formation in the original tumor. They showed immunopositive staining for cytokeratins (AE1/AE3 and CAM5.2), epithelial membrane antigen (EMA), vimentin, CD31, CD34 and CA 125, but negative for integrase interactor 1 (INI-1) and factor VIII-related antigen.

CONCLUSIONS

The established cell line represents a biologically relevant new tool to investigate the molecular pathology of human angiomatoid ES and to evaluate the efficacy of novel therapeutics both in vitro and in vivo.

Platelet-derived growth factor receptor beta serum concentrations during first-line therapy in ovarian cancer

OBJECTIVES

Angiogenesis plays an important role in ovarian cancer. The interaction of platelet-derived growth factor receptor-beta (PDGFR-β) with vascular endothelial growth factor (VEGF) in the process of angiogenesis may represent an essential feature in the progression of the disease.

METHODS

Patients with epithelial ovarian cancer, who underwent primary surgery and platinum-based first-line chemotherapy, were included. A total of 133 serum samples from 39 patients were analyzed. Samples were prospectively collected at 4 time points: (1) before surgery, (2) after surgery and before chemotherapy, (3) during chemotherapy and (4) after chemotherapy. Serum PDGFR-β was quantified by ELISA. We analyzed the correlation of serum levels to chemotherapy response, progression-free and overall survival (PFS and OS) and the serum markers CA-125 and VEGF-165.

RESULTS

Serum concentration of PDGFR-β ranged between 4 and 72 ng/ml and increased significantly during first-line chemotherapy (p = 0.019). PDGFR-β serum concentrations showed an inverse correlation with CA-125 and VEGF-165 after chemotherapy (r = -0.495, p = 0.003 and r = -0.345, p = 0.04, respectively). Increased PDGFR-β serum levels after chemotherapy were significantly correlated with better PFS (p = 0.026) and OS (p = 0.013) in a univariate analysis.

CONCLUSION

PDGFR-β might be a useful biomarker in terms of prognosis and could be important as antiangiogenic agents become a component of standard treatment in ovarian cancer.

Human epididymis protein 4 (HE4) in benign and malignant diseases

BACKGROUND

Human epididymis protein 4 (HE4) is described as a useful new biomarker in ovarian cancer. As HE4 is neither tumor nor organ specific, we intensively investigated the occurrence of this protein in female and male patients with various benign and malignant diseases in order to avoid misinterpretation and to identify potential additional clinical relevance.

METHODS

We retrospectively investigated HE4(ARCHITECT R , Abbott Diagnostics, US) in the sera of 205 healthy individuals, 654 patients with benign disorders and 720 patients with cancer before initial treatment.

RESULTS

The lowest concentrations of HE4 were observed in healthy men (median 26.2 pmol/L) followed by healthy women (median 40.4 pmol/L). In benign diseases, highest HE4 concentrations were seen in both women and men with renal failure (women, median 1041 pmol/L; men, median 1368pmol/L). In women, the highest HE4 levels in malignant diseases were observed in ovarian cancer (median 242 pmol/l),whereas the highest HE4 concentrations in men occurred in lung cancer (median 89.2 pmol/L). The area under the curve(AUC) of HE4 in women was highest in ovarian cancer and borderline tumors as compared to benign gynecological disorders(88.9 % ), with a sensitivity of 67.4 % at 95 % specificity.Also, significantly elevated concentrations of HE4 with reference to the respective group of benign diseases were observed in uterus corpus and breast cancer as well as in lung cancer for men and women.

CONCLUSIONS

HE4 has the highest relevance in ovarian cancer but can be elevated in a variety of benign and malignant diseases.

Stage-specific analysis of plasma protein profiles in ovarian cancer: Difference in-gel electrophoresis analysis of pooled clinical samples

INTRODUCTION

Ovarian cancer is the leading cause of death from gynecological cancer. Non-specific symptoms early in disease and the lack of specific biomarkers hinder early diagnosis. Multi-marker blood screening tests have shown promise for improving identification of early stage disease; however, available tests lack sensitivity, and specificity.

MATERIALS AND METHODS

In this study, pooled deeply-depleted plasma from women with Stage 1, 2 or 3 ovarian cancer and healthy controls were used to compare the 2-dimensional gel electrophoresis (2-DE) protein profiles and identify potential novel markers of ovarian cancer progression.

RESULTS/DISCUSSION

Stage-specific variation in biomarker expression was observed. For example, apolipoprotein A1 expression is relatively low in control and Stage 1, but shows a substantial increase in Stage 2 and 3, thus, potential of utility for disease confirmation rather than early detection. A better marker for early stage disease was tropomyosin 4 (TPM4). The expression of TPM4 increased by 2-fold in Stage 2 before returning to "normal" levels in Stage 3 disease. Multiple isoforms were also identified for some proteins and in some cases, displayed stage-specific expression. An interesting example was fibrinogen alpha, for which 8 isoforms were identified. Four displayed a moderate increase at Stage 1 and a substantial increase for Stages 2 and 3 while the other 4 showed only moderate increases.

CONCLUSION

Herein is provided an improved summary of blood protein profiles for women with ovarian cancer stratified by stage.

Usefulness of the HE4 biomarker as a second-line test in the assessment of suspicious ovarian tumors

Purpose

The aim of our study was the evaluation of HE4 usefulness as a test in assessment of ovarian tumors which are suspicious and difficult to classify correctly via subjective ultrasound examination.

Methods

In this retrospective cohort study 253 women diagnosed with adnexal masses were examined preoperatively. Suspicious tumors (n = 145) were divided into groups of: “probably benign” (n = 70), “uncertain” (n = 34), and “probably malignant” (n = 41). “Uncertain” tumors were also assessed as “benign” (n = 11) or “malignant” (n = 23). The logistic regression model was performed to analyze if the serum marker improves the prediction of a malignant finding and net reclassification improvement (NRI) was calculated to measure diagnostic improvement.

Results

Within the analyzed group 85 (58.6 %) benign and 60 (41.4 %) malignant tumors were confirmed histopathologically. The comparison of HE4 with subjective ultrasound assessment showed lowered NRI in the entire analyzed group as well as in the groups of tumors classified as “probably benign” or “probably malignant” (NRI = −0.16; P = 0.0139 and NRI = −0.133; P = 0.0489, respectively). The analysis of logistic regression model confirmed that biomarkers do not improve diagnostic accuracy. The difference between areas under ROC for HE4 (0.891) and CA125 (0.902) was not statistically significant (P = 0.760).

Conclusions

After subjective ultrasound assessment, the addition of the second-line test—HE4 as well as CA125 serum level does not improve diagnostic performance. However, HE4 evaluation satisfies the clinical expectations of diagnostic tools for ovarian tumors and, thus, may be useful to less experienced sonographers.

Prognostic value of tumor markers, NSE, CA125 and SCC, in operable NSCLC Patients

The aim of this study was to investigate the prognostic value of tumor markers in operable non-small cell lung cancer (NSCLC) patients. A total of 481 NSCLC patients were enrolled in the present study. High levels of neuron-specific enolase (NSE), carbohydrate antigen 125 (CA125) and squamous cell carcinoma antigen (SCC) were detected in 306 (63.6%), 89 (18.5%) and 125 (26.0%) patients, respectively. Seventy-eight of 481 patients died of disease progression, and the median disease-free survival (DFS) and overall survival (OS) were 16.0 and 21.0 months, respectively. The three-year DFS rate was 56.7%, and the OS rate was 75.3%. For serum NSE, the three-year cumulative DFS rate for the normal and elevated group was 67.7% and 51.8% (p = 0.007). The OS in patients with high and normal levels of NSE was 34.0 months and 48.0 months, respectively. The median DFS was 46.0 months versus 32.0 months (p = 0.001), and the OS was 48.0 months versus 44.0 months (p = 0.001) in patients with normal and high levels of CA125. For patients with squamous cell carcinoma, the overall survival was significantly shorter in patients with elevated levels of SCC (p = 0.041). In the multivariate analysis high levels of NSE, CA125 and clinical stage were significantly correlated with worse prognosis (p < 0.05). Patients with all three tumor markers elevated presented the worst prognosis (p < 0.05). In our analysis, high levels of preoperative serum NSE and CA125 are correlated with worse survival in operable NSCLC patients.

An improved lectin-based method for the detection of mucin-type O-glycans in biological samples

Mucins and mucin-type glycoproteins, collectively referred to as mucin-type O-glycans, are implicated in many important biological functions and pathological conditions, including malignancy. Presently, there is no reliable method to measure the total mucin-type O-glycans of a sample, which may contain one or more of these macromolecules of unknown structures. We report the development of an improved microassay that is based on the binding of lectins to the unique and constant GalNAc-Ser/Thr structural feature of mucin-type O-glycans. Since the sugar-amino acid linkage in the mucin-type O-glycans is invariably cryptic, we first chemically removed the heterogeneous peripheral and core saccharides of model glycoconjugates before examining for their interactions using an enzyme-linked lectin assay (ELLA). Desialylation of the model glycoconjugates led to maximal binding of the lectins but additional treatments such as Smith degradation did not result in increased binding. Of the lectins tested for their ability to probe the desialylated O-glycans, jacalin showed the highest sensitivity followed by champedak galactose binding (CGB) lectin and Vicia villosa agglutinin. Further improvement in the sensitivity of ELLA was achieved by using microtiter plates that were pre-coated with the CGB lectin, which increased the specificity of the assay to mucin-type O-glycans. Finally, the applicability of the developed sandwich ELLA to crude samples was demonstrated by estimating trace quantities of the mucin-type O-glycans in the human serum.

Serum folate receptor alpha, mesothelin and megakaryocyte potentiating factor in ovarian cancer: association to disease stage and grade and comparison to CA125 and HE4

Background

Evaluate and compare the utility of serum folate receptor alpha (FRA) and megakaryocyte potentiating factor (MPF) determinations relative to serum CA125, mesothelin (MSLN) and HE4 for the diagnosis of epithelial ovarian cancer (EOC).

Methods

Electrochemiluminescent assays were developed for FRA, MSLN and MPF and used to assess the levels of these biomarkers in 258 serum samples from ovarian cancer patients. Commercial assays for CA125 and HE4 were run on a subset of 176 of these samples representing the serous histology. Data was analyzed by histotype, stage and grade of disease. A comparison of the levels of the FRA, MSLN and MPF biomarkers in serum, plasma and urine was also performed in a subset of 57 patients.

Results

Serum and plasma levels of FRA, MSLN and MPF were shown to be highly correlated between the two matrices. Correlations between all pairs of markers in 318 serum samples were calculated and demonstrated the highest correlation between HE4 and MPF, and the lowest between FRA and MPF. Serum levels of all markers showed a dependence on both stage and grade of disease. A multi-marker logistic regression model was developed resulting in an AUC=0.91 for diagnosis of serous ovarian cancer, a significant improvement over the AUC for any of the individual markers, including CA125 (AUC=0.84).

Conclusions

FRA has significant potential as a biomarker for ovarian cancer, both as a stand-alone marker and in combination with other known markers for EOC. The lack of correlation between the various markers analyzed in the present study suggests that a panel of markers can aid in the detection and/or monitoring of this disease.

Differential Diagnosis of Borderline Ovarian Tumors from Stage I Malignant Ovarian Tumors using FDG PET/CT

PURPOSE

Borderline ovarian tumors (BOTs) are more common in young women of reproductive age, and exhibit a better prognosis than malignant ovarian tumors (MOTs). Fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) were compared in their ability to differentiate BOTs from stage I MOTs.

METHODS

Among 173 patients who had preoperative FDG PET/CT due to ovarian neoplasms between November 2006 and March 2009, there were 13 patients with BOTs or stage I MOTs. For differential diagnosis of the two tumors, cancer antigen-125 (CA-125) level, the longest diameter of tumors, metabolic indices including maximum standardized uptake value (SUVmax), and volumetric indices including metabolic tumor volume (MTV) were compared, respectively.

RESULTS

The BOT group (n = 7) was comprised of five mucinous and two serous tumors, and the MOT group (n = 6) was comprised of three endometrioid, two clear cell and one mucinous tumors. Among the comparisons between two groups, SUVmax of the BOT group was significantly lower than that of the MOT group (2.9 ± 1.5 vs. 6.6 ± 2.9, p = 0.0223); otherwise, no significant difference was found in age, CA-125, diameter, or MTV. By receiver-operating characteristic curve analysis, SUVmax of 3.7 was the best cutoff value to differentiate BOTs from stage I MOTs, with a sensitivity of 83.3 % and specificity of 85.7, and the area under curve of 0.893 (p = 0.0001, 95 % CI: 0.601∼0.993).

CONCLUSIONS

We demonstrated that SUVmax could distinguish BOTs from stage I MOTs, with a high sensitivity and specificity. Metabolic indices determined by FDG PET/CT were more suitable than volumetric indices for differential diagnosis of the two tumors.