New tumor markers: CA125 and beyond

Pretreatment CA 15-3 Levels do not Predict Disease-Free Survival in Patients with Advanced Epithelial Ovarian Cancer

Aims

To evaluate the role of pretreatment CA 15-3 levels as a predictor of disease-free survival in patients with advanced epithelial ovarian cancer.

Methods

A cohort of 65 patients with FIGO stage III or IV epithelial ovarian cancer was evaluated. Patients were treated either with primary cytoreductive surgery followed by adjuvant platinum-based chemotherapy or with neoadjuvant chemotherapy with interval debulking surgery. All patients had pretreatment CA 15-3 and CA 125 tumor marker determinations. The patients were divided into a group with elevated CA 15–3 and a group with normal levels. The two groups were compared with regard to clinical and survival measures.

Results

The patients' median age was 65 years (range, 37–90); 34 (52%) were at stage III and 31 (48%) at stage IV. CA 15–3 was elevated (>30 units/mL) in 44 (68%) patients, with a median level of 39 units (range, 4-2282). CA 125 was elevated (>35 units/mL) in 61 (94%) patients, with a median level of 947 units (range, 4-30,642). CA 125 and CA 15-3 levels were not correlated (r = 0.015, P = 0.332). The median follow-up was 22 months (range, 3–120 months). Fifty-three (81%) patients had disease recurrence and 43 (66%) died. Survival analysis showed that patients with elevated and normal CA 15-3 levels had similar recurrence-free survival ( P = 0.78) and overall survival ( P = 0.55).

Conclusions

Although elevated in the majority of patients with advanced epithelial ovarian cancer, CA 15-3 levels are not predictive of survival.

Identification of candidate biomarkers using the Experion™ automated electrophoresis system in serum samples from ovarian cancer patients

Ovarian cancer is the most common cause of disease-related death in women globally. Detection of ovarian cancer using new biomarkers is necessary for early diagnosis. To date, there have been no obvious biomarkers for ovarian cancer detection in the incipient stage. In this study, we discovered potential diagnostic serological biomarkers for ovarian cancer using the Experion™ automated electrophoresis system. Sera from 14 healthy women and 84 ovarian cancer patients at stages I- IV were applied to the Experion to compare the protein expression levels. To examine the protein expression pattern of Experion data, proteins in the samples were resolved using 10 and 15% sodium dodecyl sulfate-polyacrylamide gel electrophoresis and visualized by silver staining. The candidate biomarkers elevated in ovarian cancer were purified and determined using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry. α-2-macroglobulin (173.7 kDa), ceruloplasmin (147 kDa), inter-α-trypsin inhibitor family heavy chain-related protein (126 kDa), C-1 inhibitor (115.2 kDa) and hemoglobin α/β (14.4 kDa were overexpressed in the ovarian cancer sera. This study documents a novel way to measure ovarian cancer or cancer-related proteins for biomarkers using the Experion assay system, which should be easily adaptable for high-throughput diagnosis to establish databases of ovarian cancer for clinical applications.

Plasma microRNAs as novel biomarkers for endometriosis and endometriosis-associated ovarian cancer

PURPOSE

Endometriosis, a largely benign, chronic inflammatory disease, is an independent risk factor for endometrioid and clear cell epithelial ovarian tumors. We aimed to identify plasma miRNAs that can be used to differentiate patients with endometriosis and ovarian cancer from healthy individuals.

EXPERIMENTAL DESIGN

We conducted a two-stage exploratory study to investigate the use of plasma miRNA profiling to differentiate between patients with endometriosis, patients with endometriosis-associated ovarian cancer (EAOC), and healthy individuals. In the first stage, using global profiling of more than 1,000 miRNAs via reverse transcriptase quantitative PCR (RT-qPCR) in a 20-patient initial screening cohort, we identified 23 candidate miRNAs, which are differentially expressed between healthy controls (n = 6), patients with endometriosis (n = 7), and patients with EAOC (n = 7) based on the fold changes. In the second stage, the 23 miRNAs were further tested in an expanded cohort (n = 88) of healthy individuals (n = 20), endometriosis (n = 33), EAOC (n = 14), and serous ovarian cancer cases (SOC; n = 21, included as controls).

RESULTS

We identified three distinct miRNA signatures with reliable differential expression between healthy individuals, patients with endometriosis, and patients with EAOC. When profiled against the control SOC category, our results revealed different miRNAs, suggesting that the identified signatures are reflective of disease-specific pathogenic mechanisms. This was further supported by the fact that the majority of miRNAs differentially expressed in human EAOCs were mirrored in a double transgenic mouse EAOC model.

CONCLUSION

Our study reports for the first time that distinct plasma miRNA expression patterns may serve as highly specific and sensitive diagnostic biomarkers to discriminate between healthy, endometriosis, and EAOC cases.

Human epididymis protein 4 in cancer diagnostics: a promising and reliable tumor marker

Human epididymis protein 4 (HE4) is a member of the "four-disulfide core" family that comprises a heterogeneous group of small acid- and heat-stable proteins of divergent function. Although there is an exponential growth of evidence that HE4 is a valuable tumor marker for ovarian malignancies, the exploration of the usefulness of this glycoprotein in the large tumor landscape is still ongoing. Enzyme-linked immunosorbent assay, chemiluminescent microparticle immunoassay, and bead-based array system are the preferred analytical methods for measuring HE4 concentration. Serum and urinary HE4 levels appear to be more affected by carcinogenesis than by other pathologic processes. Apart from the malignancy itself, histological type of cancer, cancer stage, and menopausal status affects HE4 concentration. An important objective in nowadays research remains the development of a tumor marker panel with a sufficient accuracy for risk assessment, early diagnosis, prognosis, and response to therapeutic treatment of cancer.

Early detection biomarkers for ovarian cancer

Despite the widespread use of conventional and contemporary methods to detect ovarian cancer development, ovarian cancer remains a common and commonly fatal gynecological malignancy. The identification and validation of early detection biomarkers highly specific to ovarian cancer, which would permit development of minimally invasive screening methods for detecting early onset of the disease, are urgently needed. Current practices for early detection of ovarian cancer include transvaginal ultrasonography, biomarker analysis, or a combination of both. In this paper we review recent research on novel and robust biomarkers for early detection of ovarian cancer and provide specific details on their contributions to tumorigenesis. Promising biomarkers for early detection of ovarian cancer include KLK6/7, GSTT1, PRSS8, FOLR1, ALDH1, and miRNAs.

Comparison of HE4, CA125 and ROMA algorithm in women with a pelvic mass: correlation with pathological outcome

OBJECTIVE

The quality of first surgery is one of the most important prognostic factors in ovarian cancer patients. Pre-surgical distinction of benign and malignant pelvic mass plays a critical role in ovarian cancer management and survival. The aim of this study was to evaluate the clinical performance of ROMA algorithm and of CA125 and HE4 in the triage of patients with a pelvic mass undergoing surgery, in order to discriminate benign from malignant disease.

METHODS

Three hundred and forty-nine pre- and post-menopausal women, aged 18 years or older undergoing surgery because of a pelvic mass were enrolled: serum concentrations of CA125 and HE4 were determined and ROMA was calculated for each sample.

RESULTS

Median serum CA125 and HE4 levels were higher in patients with EOC compared to subjects with benign disease (p<0.0001). The resultant accuracy (using Receiver Operating Characteristics, ROC Area) values for HE4, CA125 and ROMA showed a good performance ranging from 89.8% for CA125 in pre-menopausal patients to 93.3% for ROMA in post-menopausal patients: AUC for ROMA resulted significantly higher in comparison to CA125 alone (93.3% vs 90.3%, p=0.0018) in post menopausal patients. A sub-analysis considering the 40 patients with endometrioid disease showed the highest accuracy of HE4 in these patients.

CONCLUSIONS

Data presented confirm the accuracy of HE4 and of the ROMA algorithm in the distinction of ovarian carcinoma from benign disease, with a trend towards better performance for ROMA than for CA125 alone, statistically significant in postmenopausal patients.

Extremely elevated CA-125 in benign ovarian disease due to stretch of the peritoneum

Serum concentrations of CA-125 are rarely elevated beyond 1000 U/ml in benign conditions of the ovary in postmenopausal women. In this report, the authors present an unusual case of a 78-year-old woman with an extremely elevated CA-125 concentration of 2897 U/ml without the presence of a malignancy, ascites or pleural effusion. Imaging revealed a large intra-abdominal cystic mass with irregular solid deviations on CT scan, most likely arising from an ovary. Exploratory laparotomy was performed with suspicion of ovarian cancer but histopathological analysis revealed benign serous cystic adenofibroma. This case report highlights the diagnostic challenge of extremely increased levels of CA-125 in postmenopausal women. A possible explanation for this CA-125 elevation could be the mechanical stretch of the peritoneum.

Legumain: a biomarker for diagnosis and prognosis of human ovarian cancer

Legumain is a member of the asparaginyl endopeptidase family that is over-expressed in response to hypoxic stress on mammary adenocarcinoma, colorectal cancer, proliferating endothelial cells, and tumor-associated macrophages (TAMs). Here, we demonstrate that elevated expression of legumain in ovarian cancer by a proteomic approach using isobaric tags for relative and absolute quantification (iTRAQ) followed by liquid chromatography-mass spectrometry (LC-MS/MS). To investigate the relationship between legumain expression and ovarian cancer development, we tested legumain expression in malignant human ovarian tumors (n = 60), borderline ovarian tumors (n = 20), benign ovarian tumors (n = 20), and normal ovary samples (n = 20) using immunohistochemical assay (IHC). A correlation between legumain expression, and clinocopathologic and biological variables was also established. Importantly, increased legumain expression was validated by real-time PCR and Western blots, correlated positively with an increased malignancy of ovarian tumors (P < 0.01). In fact, patients with strong legumain expression had a worse prognosis (P = 0.03). In addition, results of in vitro experiments revealed that over-expression of legumain correlates with increased cell migration and invasion of ovarian cancer cells. Although legumain's functional role and clinical utility remain to be established, our results indicated that a sensitive assay for early expression of legumain may serve as both a potential biomarker and a molecular target for treatment of ovarian cancer.

Plasma concentrations of the vitamin E-binding protein afamin are associated with overall and progression-free survival and platinum sensitivity in serous ovarian cancer--a study by the OVCAD consortium

OBJECTIVE

Comparative proteomics identified the plasma protein afamin as potential biomarker for ovarian cancer (OC). Significantly decreased afamin plasma concentrations in pre-therapeutic OC patients reconstituted to control values after successful tumor surgery. This study evaluates the association of afamin with survival and response to therapy in serous OC patients within the OVCAD consortium project.

METHODS

We measured afamin in 215 pre-therapeutic plasma samples, 246 tumor lysates and 109 plasma samples taken 6months after finishing platinum-based chemotherapy. Differences in afamin plasma concentrations among FIGO stages were tested by Kruskal-Wallis test; association of afamin concentrations with overall and progression-free survival was evaluated using Kaplan-Meier survival plots and multivariate adjusted COX regression analysis.

RESULTS

Pre-therapeutic afamin correlated significantly with FIGO stages (p=0.012) and was lower in the presence of metastases (p=0.013) and poorly differentiated OC in patients responding to therapy (p=0.016). Afamin ≥48.0mg/L was also associated with a lower hazard ratio for recurrent disease as compared to afamin <48.0mg/L (p=0.007). Post-therapeutic afamin ≥48mg/L was positively correlated with overall (p<0.001) and progression-free (p=0.012) survival and was lower in non-responders than in responders (p=0.048). Thus, afamin returned post-therapeutically to values of healthy controls in responders (p<0.001) but not in non-responders (p=0.114). Afamin in tumor lysates was lower in poorly differentiated OC than in G 1+2 tumors (p=0.041). Higher afamin concentrations in tumor lysates were associated with increased overall survival (p=0.003).

CONCLUSION

These data indicate that afamin is associated with therapy response and survival rate in advanced OC patients.

Analysis of tumor marker CA 125 in saliva of normal and oral squamous cell carcinoma patients: a comparative study

BACKGROUND

The mortality and morbidity associated with oral squamous cell carcinoma (OSCC) can be greatly reduced if tumor markers which can detect OSCC at an early stage are available. The use of saliva as an alternative to blood could provide a substantial advantage in sampling convenience. Cancer antigen 125 (CA 125) is a tumor-associated antigen found to be increased in epithelial tumors like oral, breast and ovarian cancers.

AIM

To determine whether salivary CA 125 levels are increased significantly in OSCC patients than the control group.

MATERIALS AND METHODS

Sixty OSCC patients and 60 healthy controls were taken for the study. Saliva samples from both the groups were collected, centrifuged and supernatant fluid were subjected to ELISA for assessment of CA 125. The mean salivary CA 125 values of OSCC patients and control group were statistically analyzed using Mann-Whitney U-test.

RESULTS

The mean salivary CA 125 concentration of OSCC group was 320.25 and that of control group was 33.14. Thus, CA 125 was found to be significantly increased in the saliva of OSCC patients than the control group (p < 0.001). Also, there was significant increase in the CA 125 levels as the stage of OSCC increased.

CONCLUSION

The convenience, reliability and noninvasive nature of salivary CA 125 testing makes it a feasible adjunctive diagnostic tool for detection of OSCC.

Mucins and toll-like receptors: kith and kin in infection and cancer

Inflammation is underlying biological phenomenon common in infection and cancer. Mucins are glycoproteins which establish a physical barrier for undesirable entry of foreign materials through epithelial surfaces. A deregulated expression and an anomalous glycosylation pattern of mucins are known in large number of cancers. TLRs are class of receptors which recognize the molecular patterns of invading pathogens and activate complex inflammatory pathways to clear them. Aberrant expression of TLRs is observed in many cancers. A highly orchestrated action of mucins and TLRs is well evolved host defence mechanism; however, a link between the two in other non-infectious conditions has received less attention. Here we present an overview as to how mucins and TLRs give protection to the host and are deregulated during carcinogenesis. Further, we propose the possible mechanisms of cross-regulation between them in pathogenesis of cancer. As both mucins and TLRs are therapeutically important class of molecules, an understanding of the underlying molecular mechanisms connecting the two will open new avenues for the therapeutic targeting of cancer.

Deciphering the molecular nature of ovarian cancer biomarker CA125

The ovarian cancer biomarker CA125 has been extensively investigated over the last 30 years. The knowledge about the exact molecular nature of this protein, however, remains fragmented. This review provides an overview of the structural research regarding CA125, and presents an orthogonal verification method to confirm the identity of this molecule. The need for independent identification of CA125 is exemplified by several reports where mutually exclusive data concerning the existence of isoforms and the glycan moieties is presented. Mass spectrometry can overcome the pitfalls of a single detection/identification method such as antibody probing. Independent verification of CA125 identity in characterization studies will help establish a refined model of its molecular structure that will promote the development of new approaches for diagnosis, prognosis and therapy of ovarian cancer.

Separation of kallikrein 6 glycoprotein subpopulations in biological fluids by anion-exchange chromatography coupled to ELISA and identification by mass spectrometry

Kallikrein 6 (KLK6) has been shown to be aberrantly glycosylated in ovarian cancer. Here, we report a novel HPLC anion exchange method, coupled to a KLK6-specific ELISA, capable of differentiating KLK6 glycoform subgroups in biological fluids. Biological fluids were fractionated using anion exchange and resulting fractions were analyzed for KLK6 content by ELISA producing a four-peak elution profile. Using this assay, the KLK6 elution profile and distribution across peaks of a set (n = 7) of ovarian cancer patient matched serum and ascites fluid samples was found to be different than the profile of serum and cerebrospinal fluid (CSF) of normal individuals (n = 7). Glycosylation patterns of recombinant KLK6 (rKLK6) were characterized using tandem mass spectrometry (MS/MS), and found to consist of a highly heterogeneous KLK6 population. This protein was found to contain all of the four diagnostic KLK6 peaks present in the previously assayed biological fluids. The rKLK6 glycoform composition of each peak was assessed by lectin affinity and MS/MS based glycopeptide quantification by product ion monitoring. The combined results showed an increase in terminal alpha 2-6 linked sialic acid in the N-glycans found on KLK6 from ovarian cancer serum and ascites, as opposed to CSF and serum of normal individuals.

Value of FDG PET/CT in patients with treated ovarian cancer and raised CA125 serum levels

PURPOSE

Patients treated for ovarian cancer are usually referred for 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography/computed tomography (FDG PET/CT) in case of increased Carcinoma Antigen 125 (CA125) but negative conventional imaging. However, there is not enough in the literature to support the value of FDG PET/CT in this context. This study aimed to assess role of FDG PET/CT in a cohort of patients with treated ovarian cancer and correlate the results with serum levels of CA125.

PROCEDURES

We retrospectively studied 175 patients, mean age 65.2 years (range 24-88 years) who had radical treatment for ovarian cancer (chemotherapy, surgery or combination). The patients had a standard FDG PET/CT and measurement of serum CA125 within a month of the scan. PET/CT was considered positive if demonstrated areas of abnormally increased metabolic activity unrelated to physiological distribution, on the basis of a visual analysis. The results of PET/CT imaging were compared to the level of CA125, and receiver operating characteristic (ROC) curves were plotted and area-under-the curve (AUC) statistics were computed. Cytologic or histologic data or clinical and imaging follow-up were taken as gold standard.

RESULTS

Patients were divided into five groups based on CA125 values. The average level of CA125 was 107.7 (range 3-867, SD 166.1). PET/CT was positive in 125/175 cases (71.4%), mean value of CA125 132.2 (SD 182.9) and negative in 50/175 (28.6%), mean value of CA125 46.4 (SD 89.3). In descriptive ROC analyses, the discriminatory power of this marker was relatively high (AUC statistics 0.77, range = 0.703-0.8). The optimal cut-off point of CA125 after treatment to reflect active disease on PET/CT was 18 U/mL achieving a detection rate of 85.6%. There was no relation between PET/CT negativity and the histological type of the tumor.

CONCLUSION

PET/CT was able to detect active disease at relatively low levels of CA125, thereby facilitating the early diagnosis of recurrence or residual disease. Also in patients with low CA125 levels (<30), PET/CT had a relatively high detection rate (53%). According to our preliminary results, the use of FDG PET/CT in this setting is justified even with low serum CA125 levels.

A gene expression profile test for the differential diagnosis of ovarian versus endometrial cancers

We have developed a gene expression profile test (Pathwork Tissue of Origin Endometrial Test) that distinguishes primary epithelial ovarian and endometrial cancers in formalin-fixed, paraffin-embedded (FFPE) specimens using a 316–gene classification model. The test was validated in a blinded study using a pre-specified algorithm and microarray files for 75 metastatic, poorly differentiated or undifferentiated specimens with a known ovarian or endometrial cancer diagnosis. Measures of test performance include a 94.7% overall agreement with the known diagnosis, an area under the ROC curve (AUC) of 0.997 and a diagnostic odds ratio (DOR) of 406. Ovarian cancers (n=30) gave an agreement of 96.7% with the known diagnosis while endometrial cancers (n=45) gave an agreement of 93.3%. In a precision study, concordance in test results was 100%. Reproducibility in test results between three laboratories was 94.3%. The Tissue of Origin Endometrial Test can aid in resolving important differential diagnostic questions in gynecologic oncology.

Prognostic biomarkers in ovarian cancer

Epithelial ovarian cancer (EOC) remains the most lethal gynecological malignancy despite several decades of progress in diagnosis and treatment. Taking advantage of the robust development of discovery and utility of prognostic biomarkers, clinicians and researchers are developing personalized and targeted treatment strategies. This review encompasses recently discovered biomarkers of ovarian cancer, the utility of published prognostic biomarkers for EOC (especially biomarkers related to angiogenesis and key signaling pathways), and their integration into clinical practice.

Ovarian tumor characterization using 3D ultrasound

Among gynecological malignancies, ovarian cancer is the most frequent cause of death. Preoperative determination of whether a tumor is benign or malignant has often been found to be difficult. Because of such inconclusive findings from ultrasound images and other tests, many patients with benign conditions have been offered unnecessary surgeries thereby increasing patient anxiety and healthcare cost. The key objective of our work is to develop an adjunct Computer Aided Diagnostic (CAD) technique that uses ultrasound images of the ovary and image mining algorithms to accurately classify benign and malignant ovarian tumor images. In this algorithm, we extract texture features based on Local Binary Patterns (LBP) and Laws Texture Energy (LTE) and use them to build and train a Support Vector Machine (SVM) classifier. Our technique was validated using 1000 benign and 1000 malignant images, and we obtained a high accuracy of 99.9% using a SVM classifier with a Radial Basis Function (RBF) kernel. The high accuracy can be attributed to the determination of the novel combination of the 16 texture based features that quantify the subtle changes in the images belonging to both classes. The proposed algorithm has the following characteristics: cost-effectiveness, complete automation, easy deployment, and good end-user comprehensibility. We have also developed a novel integrated index, Ovarian Cancer Index (OCI), which is a combination of the texture features, to present the physicians with a more transparent adjunct technique for ovarian tumor classification.

Combined panel of serum human tissue kallikreins and CA-125 for the detection of epithelial ovarian cancer

Objective

To determine the predictive accuracy of the combined panels of serum human tissue kallikreins (hKs) and CA-125 for the detection of epithelial ovarian cancer.

Methods

Serum specimens collected from 5 Indonesian centers and 1 Vietnamese center were analyzed for CA-125, hK6, and hK10 levels. A total of 375 specimens from patients presenting with ovarian tumors, which include 156 benign cysts, 172 epithelial ovarian cancers (stage I/II, n=72; stage III/IV, n=100), 36 germ cell tumors and 11 borderline tumors, were included in the study analysis. Receiver operating characteristic analysis were performed to determine the cutoffs for age, CA-125, hK6, and hK10. Sensitivity, specificity, negative, and positive predictive values were determined for various combinations of the biomarkers.

Results

The levels of hK6 and hK10 were significantly elevated in ovarian cancer cases compared to benign cysts. Combination of 3 markers, age/CA-125/hk6 or CA-125/hk6/hk10, showed improved specificity (100%) and positive predictive value (100%) for prediction of ovarian cancer, when compared to the performance of single markers having 80-92% specificity and 74-87% positive predictive value. Four-marker combination, age/CA-125/hK6/hK10 also showed 100% specificity and 100% positive predictive value, although it demonstrated low sensitivity (11.9%) and negative predictive value (52.8%).

Conclusion

The combination of human tissue kallikreins and CA-125 showed potential for improving prediction of epithelial ovarian cancer in patients presenting with ovarian tumors.

Analysis of second-harmonic-generation microscopy in a mouse model of ovarian carcinoma

Second-harmonic-generation (SHG) imaging of mouse ovaries ex vivo was used to detect collagen structure changes accompanying ovarian cancer development. Dosing with 4-vinylcyclohexene diepoxide and 7,12-dimethylbenz[a]anthracene resulted in histologically confirmed cases of normal, benign abnormality, dysplasia, and carcinoma. Parameters for each SHG image were calculated using the Fourier transform matrix and gray-level co-occurrence matrix (GLCM). Cancer versus normal and cancer versus all other diagnoses showed the greatest separation using the parameters derived from power in the highest-frequency region and GLCM energy. Mixed effects models showed that these parameters were significantly different between cancer and normal (P<0.008). Images were classified with a support vector machine, using 25% of the data for training and 75% for testing. Utilizing all images with signal greater than the noise level, cancer versus not-cancer specimens were classified with 81.2% sensitivity and 80.0% specificity, and cancer versus normal specimens were classified with 77.8% sensitivity and 79.3% specificity. Utilizing only images with greater than of 75% of the field of view containing signal improved sensitivity and specificity for cancer versus normal to 81.5% and 81.1%. These results suggest that using SHG to visualize collagen structure in ovaries could help with early cancer detection.

Does risk for ovarian malignancy algorithm excel human epididymis protein 4 and CA125 in predicting epithelial ovarian cancer: a meta-analysis

BACKGROUNDS

Risk for Ovarian Malignancy Algorithm (ROMA) and Human epididymis protein 4 (HE4) appear to be promising predictors for epithelial ovarian cancer (EOC), however, conflicting results exist in the diagnostic performance comparison among ROMA, HE4 and CA125.

METHODS

Remote databases (MEDLINE/PUBMED, EMBASE, Web of Science, Google Scholar, the Cochrane Library and ClinicalTrials.gov) and full texts bibliography were searched for relevant abstracts. All studies included were closely assessed with the QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies-2). EOC predictive value of ROMA was systematically evaluated, and comparison among the predictive performances of ROMA, HE4 and CA125 were conducted within the same population. Sensitivity, specificity, DOR (diagnostic odds ratio), LR ± (positive and negative likelihood ratio) and AUC (area under receiver operating characteristic-curve) were summarized with a bivariate model. Subgroup analysis and sensitivity analysis were used to explore the heterogeneity.

RESULTS

Data of 7792 tests were retrieved from 11 studies. The overall estimates of ROMA for EOC predicting were: sensitivity (0.89, 95% CI 0.84-0.93), specificity (0.83, 95% CI 0.77-0.88), and AUC (0.93, 95% CI 0.90-0.95). Comparison of EOC predictive value between HE4 and CA125 found, specificity: HE4 (0.93, 95% CI 0.87-0.96) > CA125 (0.84, 95% CI 0.76-0.90); AUC: CA125 (0.88, 95% CI 0.85-0.91) > HE4 (0.82, 95% CI 0.78-0.85). Comparison of OC predictive value between HE4 and CA125 found, AUC: CA125 (0.89, 95% CI 0.85-0.91) > HE4 (0.79, 95% CI 0.76-0.83). Comparison among the three tests for EOC prediction found, sensitivity: ROMA (0.86, 95%CI 0.81-0.91) > HE4 (0.80, 95% CI 0.73-0.85); specificity: HE4 (0.94, 95% CI 0.90-0.96) > ROMA (0.84, 95% CI 0.79-0.88) > CA125 (0.78, 95%CI 0.73-0.83).

CONCLUSIONS

ROMA is helpful for distinguishing epithelial ovarian cancer from benign pelvic mass. HE4 is not better than CA125 either for EOC or OC prediction. ROMA is promising predictors of epithelial ovarian cancer to replace CA125, but its utilization requires further exploration.

Detection of serum human epididymis secretory protein 4 in patients with ovarian cancer using a label-free biosensor based on localized surface plasmon resonance

Background

Detection of the human epididymis secretory protein 4 (HE4) biomarker plays an important role in the early diagnosis of ovarian cancer. This study aimed to develop a novel localized surface plasmon resonance (LSPR) biosensor for detecting HE4 in blood samples from patients with ovarian cancer.

Methods

Silver nanoparticles were fabricated using a nanosphere lithography method. The anti-HE4 antibody as a probe, which can distinctly recognize HE4, was assembled onto the nanochip surface using an amine coupling method. Detection was based on the shift in the extinction maximum of the LSPR spectrum before and after the HE4-anti-HE4 antibody reaction. These nanobiosensors were applied to detect HE4 in human serum samples and compare them using an enzyme-linked immunosorbent assay.

Results

Tests relating to the detection of HE4 demonstrated that the LSPR-based biosensor featured a fast detection speed, good specificity, effective reproducibility, and long-term stability. The linear range for LSPR was between 10 pM and 10,000 pM, with a detection limit of 4 pM. An excellent correlation between LSPR and enzyme-linked immunosorbent assay results was observed in human serum.

Conclusion

This study is the first clinical diagnostic application of the LSPR biosensor in ovarian cancer. The LSPR biosensor, a rapid, low-cost, label-free and portable screening tool, can serve as a very effective alternative for the clinical serological diagnosis of ovarian cancer.

Elevated human epididymis protein 4 concentrations in chronic kidney disease

BACKGROUND

Human epididymis protein 4 (HE4) has recently become an available tumour biomarker for detecting ovarian cancer along with the standard cancer antigen 125 (CA125). However, it is unknown if the levels of HE4 and CA125 may be altered in subjects who have impaired renal function with no ovarian disorders.

METHODS

In 113 female patients at different stages of chronic kidney disease (CKD) with no ovarian and lung cancer and 68 subjects with normal renal and ovarian function, HE4 and CA125 concentrations were analysed by using chemiluminescent microparticle immunoassay (Architect®, Abbott) and electrochemiluminescent immunoassay (Modular E170®, Roche), respectively. Renal function was evaluated by measuring serum creatinine and urea concentrations (Cobas Integra-800®, Roche). Estimated glomerular filtration rate (eGFR in mL/min/1.73 m2) was calculated by the 4v-MDRD formula.

RESULTS

Significantly increased HE4 concentrations (P<0.0001) were found in individuals with differently decreased eGFR values (<90 mL/min/1.73 m2) compared with clinical controls. CA125 serum concentration was higher than normal in subjects with CKD3 (eGFR=30-59 mL/min/1.73 m2), but significant elevation (P=0.006) in CA125 concentrations was seen only in those who had severe renal failure (CKD4-5; eGFR<30 mL/min/1.73 m2). These tendencies were independent of age in our study cohort, and seemed to be more evident among women in premenopausal status.

CONCLUSIONS

HE4 concentrations may be elevated in CKD patients with no ovarian and lung cancer. Thus, HE4 results should be interpreted cautiously in women with renal disorders.

Role of HE4, CA72.4, and CA125 in monitoring ovarian cancer

The aim of this study was to investigate the role of biomarkers CA125, HE4, and CA72.4 at diagnosis and throughout the follow-up in patients with epithelial ovarian cancer (EOC). Thirty-nine patients with EOC were deemed eligible, and 20 were followed up. CA125, HE4, and CA72.4 serum levels were determined for all patients at initial diagnosis of EOC. Among these patients, the number of cases with an elevated level of each individual marker was CA125 77 %, HE4 85 %, and CA72.4 72 %. A statistically significant difference was observed between the level of HE4 when compared to CA72.4 (p < 0.02). In the follow-up phase, we observed tumor marker levels fluctuating according to response to chemotherapy. When combining two out of the three biomarkers together, we observed increased values of CA125 and CA72.4 in 55 % of the patients, increased values of CA125 and HE4 in 65 % of the patients, and finally increased HE4 and CA72.4 in 75 % of the patients. A statistically significant difference was observed when combining HE4 and CA72.4, but not CA125 and CA 72.4 (p < 0.002). In conclusion, our study demonstrates that the association of three biomarkers CA125, HE4, and CA72.4 provides a valuable contribution in the follow-up of EOC patients.

Programmable bio-nano-chip systems for serum CA125 quantification: toward ovarian cancer diagnostics at the point-of-care

Point-of-care (POC) implementation of early detection and screening methodologies for ovarian cancer may enable improved survival rates through early intervention. Current laboratory-confined immunoanalyzers have long turnaround times and are often incompatible with multiplexing and POC implementation. Rapid, sensitive, and multiplexable POC diagnostic platforms compatible with promising early detection approaches for ovarian cancer are needed. To this end, we report the adaptation of the programmable bio-nano-chip (p-BNC), an integrated, microfluidic, and modular (programmable) platform for CA125 serum quantitation, a biomarker prominently implicated in multimodal and multimarker screening approaches. In the p-BNCs, CA125 from diseased sera (Bio) is sequestered and assessed with a fluorescence-based sandwich immunoassay, completed in the nano-nets (Nano) of sensitized agarose microbeads localized in individually addressable wells (Chip), housed in a microfluidic module, capable of integrating multiple sample, reagent and biowaste processing, and handling steps. Antibody pairs that bind to distinct epitopes on CA125 were screened. To permit efficient biomarker sequestration in a three-dimensional microfluidic environment, the p-BNC operating variables (incubation times, flow rates, and reagent concentrations) were tuned to deliver optimal analytical performance under 45 minutes. With short analysis times, competitive analytical performance (inter- and intra-assay precision of 1.2% and 1.9% and limit of detection of 1.0 U/mL) was achieved on this minisensor ensemble. Furthermore, validation with sera of patients with ovarian cancer (n = 20) showed excellent correlation (R(2) = 0.97) with gold-standard ELISA. Building on the integration capabilities of novel microfluidic systems programmed for ovarian cancer, the rapid, precise, and sensitive miniaturized p-BNC system shows strong promise for ovarian cancer diagnostics.

Serum levels of the ovarian cancer biomarker HE4 are decreased in pregnancy and increase with age

OBJECTIVE

The purpose of this study was to establish normal ranges for human epididymis protein 4 (HE4) serum levels in healthy women.

STUDY DESIGN

HE4 levels were measured in healthy women and analyzed by age, menopausal status, and pregnancy status. Upper 95th percentiles were determined for normal ranges.

RESULTS

Serum samples from 1101 healthy women and 67 pregnant women were analyzed. Above the age of 40 years significant elevations in HE4 concentrations emerged with advancing age. The upper 95th percentile for HE4 levels was 89 pmol/L for premenopausal women, 128 pmol/L for postmenopausal women, and 115 pmol/L for all women. There was a significant difference in the median serum HE4 levels in premenopausal women (46.6 pmol/L) compared with postmenopausal women (57.6 pmol/L; P < .001). In pregnant women, median HE4 concentrations were significantly lower than their premenopausal counterparts (P < .001).

CONCLUSION

HE4 serum concentrations vary significantly on the basis of age. These variations must be considered when the upper limit of normal for HE4 is determined.

Protein biomarkers of ovarian cancer: the forest and the trees

The goal of effective population-based screening for ovarian cancer remains elusive despite intense efforts aimed at improving upon biomarker and imaging modalities. While dozens of potential serum biomarkers for ovarian cancer have been identified in recent years, none have yet overcome the limitations that have hindered the clinical use of CA-125. Avenues of opportunity in biomarker development are emerging as investigators are beginning to appreciate the significance of remote, as well as local or regional, sources of biomarkers in the construction of diagnostic panels, as well as the importance of evaluating biomarkers in prediagnostic settings. As the list of candidate biomarkers of ovarian cancer continues to grow, refinements in the methods through which specific proteins are selected for further development as components of diagnostic panels are desperately sought. Such refinements must take into account both the bioinformatic and biological significance of each candidate. Approaches incorporating these considerations may potentially overcome the challenges to early detection posed by the histological heterogeneity of ovarian cancer. Here, we review the recent progress achieved in efforts to develop diagnostic biomarker panels for ovarian cancer and discuss the challenges that remain.

HE4 combined with MDCT imaging is a good marker in the evaluation of disease extension in advanced epithelial ovarian carcinoma

The purpose of the study was to evaluate the expression of the biomarkers CA125 and HE4 combined with imaging, in patients with advanced epithelial ovarian cancer (EOC). Forty-six women with EOC were included in the study all affected with peritoneal carcinomatosis. Twenty-two of 46 patients (group I) had peritoneal carcinomatosis with small implants in single or in multiple sites (score 1); 24/46 patients (group II) had macro-nodular implants and omental thickening (score 2). High levels of CA125 (350 ± 11, mean ± SEM) have been observed in 21/22 patients of group I, and a similar value (370 ± 13) has been observed in all patients belonging to group II. HE4 positivity values (350 ± 9) have been observed in all group I patients, whereas all patients belonging to group II showed a higher value of HE4 (600 ± 12). Statistically significant differences were observed between the HE4 levels observed in group I patients in comparison with group II patients (p < 0.0001). In addition, we expressed the extension of lymph nodal disease in three scores: L1-L2-L3, and a statistically significant correlation was observed between high HE4 levels and severity of lymph nodal disease L3 (p < 0.0001). The availability of biomarkers, particularly HE4, together with sophisticated imaging techniques, strengthens the clinical relevance of this study, for the follow-up of patients with peritoneal carcinomatosis.

Serum HE4 concentration is not dependent on menstrual cycle or hormonal treatment among endometriosis patients and healthy premenopausal women

OBJECTIVE

Human epididymal secretory protein E4 (HE4) is a new promising tumor marker developed for the diagnostics and follow up of ovarian cancer. It has yet to become widely accepted in clinical practice, and its biological properties have not been inclusively studied. The aim of this study was to investigate whether serum HE4 concentration varies within the normal menstrual cycle and whether common gynecological hormonal treatments have an effect on HE4 values.

METHODS

Our study population consisted of 180 women, including 126 endometriosis patients and 54 healthy women. We measured their serum HE4 and CA125 concentrations and evaluated the effect of the menstrual cycle and the possible hormonal medication on these marker concentrations.

RESULTS

We found no significant variation in serum HE4 concentrations in samples taken at different phases of the menstrual cycle. The median HE4 concentrations in proliferative, secretory and menstrual phase were 41.5, 45.1 and 35.3 pM in healthy women, and 43.4, 44.3 and 43.0 pM in endometriosis patients, respectively. The use of combined estrogen and progestin contraceptives did not affect serum HE4 levels significantly.

CONCLUSIONS

The present study shows that the HE4 measurement in healthy premenopausal women as well as in women with endometriosis can be carried out at any phase of the menstrual cycle, and irrespective of hormonal medication, extending the benefits of HE4 use in clinical practice.

N-linked glycan structures and their expressions change in the blood sera of ovarian cancer patients

Glycosylated proteins play important roles in a broad spectrum of biochemical and biological processes, and prior reports have suggested that changes in protein glycosylation occur during cancer initiation and progression. Ovarian cancer (OC) is a fatal malignancy, most commonly diagnosed after the development of metastases. Therefore, early detection of OC is key to improving survival. To this end, specific changes of the serum glycome have been proposed as possible biomarkers for different types of cancers. In this study, we extend this concept to OC. To characterize differences in total N-glycan levels, serum samples provided by 20 healthy control women were compared to those acquired from patients diagnosed with late-stage recurrent OC who were enrolled in an experimental treatment trial prior to receiving therapy (N=19) and one month later, prior to the second treatment cycle (N=11). Additionally, analyses of the N-glycans associated with IgG and characterization of the relative abundance levels of core vs outer-arm fucosylation were also performed. The N-linked glycomic profiles revealed increased abundances of tri- and tetra-branched structures with varying degrees of sialylation and fucosylation and an apparent decrease in the levels of "bisecting" glycans in OC samples compared to controls. Increased levels of a-galactosylation structures were observed on N-linked glycans derived from IgG, which were independent of the presence of fucose residues. Elevated levels of outer-arm fucosylation were also identified in the OC samples. These results allowed the control samples to be distinguished from the baseline ovarian cancer patients prior to receiving the experimental treatment. In some cases, the pre-treatment samples could be distinguished from the post-experimental treatment samples, as many of those patients showed a further progression of the disease.

Epitope presentation is an important determinant of the utility of antigens identified from protein arrays in the development of autoantibody diagnostic assays

Autoantibodies represent an attractive biomarker for diagnostic assays principally due to the stability of immunoglobulin in patient serum facilitating measurement with conventional assays. Immune responses to tumorigenesis may facilitate detection of ovarian cancer in the early stages of the disease with identification of a panel of tumour specific autoantibodies. Despite the reporting of many tumour associated autoantibodies using arrays of tumour antigens, this has not led to the advance in diagnostic capability as rapidly as was initially expected. Here we examine the potential diagnostic utility of candidate autoantibody biomarkers identified via screening of serum samples on a high content human protein array from a unique cohort of early stage and late stage ovarian cancer patients. We analyse the performance of autoantibodies to the tumour suppressor protein p53 and the novel autoantigens alpha adducin and endosulfine alpha identified in our array screen. Each antigen has different performance characteristics using conventional ELISA format and Western blot immunoassay. The high attrition rate of promising autoantigens identified by array screening can in part be explained by the presentation of the epitope of the antigen in the subsequent method of validation and this study provides directions on maximising the potential of candidate biomarkers. This article is part of a Special Issue entitled: Translational Proteomics.

Four-color alternating-laser excitation single-molecule fluorescence spectroscopy for next-generation biodetection assays

BACKGROUND

Single-molecule detection (SMD) technologies are well suited for clinical diagnostic applications by offering the prospect of minimizing precious patient sample requirements while maximizing clinical information content. Not yet available, however, is a universal SMD-based platform technology that permits multiplexed detection of both nucleic acid and protein targets and that is suitable for automation and integration into the clinical laboratory work flow.

METHODS

We have used a sensitive, specific, quantitative, and cost-effective homogeneous SMD method that has high single-well multiplexing potential and uses alternating-laser excitation (ALEX) fluorescence-aided molecule sorting extended to 4 colors (4c-ALEX). Recognition molecules are tagged with different-color fluorescence dyes, and coincident confocal detection of ≥2 colors constitutes a positive target-detection event. The virtual exclusion of the majority of sources of background noise eliminates washing steps. Sorting molecules with multidimensional probe stoichiometries (S) and single-molecule fluorescence resonance energy transfer efficiencies (E) allows differentiation of numerous targets simultaneously.

RESULTS

We show detection, differentiation, and quantification-in a single well-of (a) 25 different fluorescently labeled DNAs; (b) 8 bacterial genetic markers, including 3 antibiotic drug-resistance determinants found in 11 septicemia-causing Staphylococcus and Enterococcus strains; and (c) 6 tumor markers present in blood.

CONCLUSIONS

The results demonstrate assay utility for clinical molecular diagnostic applications by means of multiplexed detection of nucleic acids and proteins and suggest potential uses for early diagnosis of cancer and infectious and other diseases, as well as for personalized medicine. Future integration of additional technology components to minimize preanalytical sample manipulation while maximizing throughput should allow development of a user-friendly ("sample in, answer out") point-of-care platform for next-generation medical diagnostic tests that offer considerable savings in costs and patient sample.

Ovarian tumor characterization and classification: a class of GyneScan™ systems

In this work, we have developed an adjunct Computer Aided Diagnostic (CAD) technique that uses 3D acquired ultrasound images of the ovary and data mining algorithms to accurately characterize and classify benign and malignant ovarian tumors. In this technique, we extracted image-texture based and Higher Order Spectra (HOS) based features from the images. The significant features were then selected and used to train and test the Decision Tree (DT) classifier. The proposed technique was validated using 1000 benign and 1000 malignant images, obtained from 10 patients with benign and 10 with malignant disease, respectively. On evaluating the classifier with 10-fold stratified cross validation, we observed that the DT classifier presented a high accuracy of 95.1%, sensitivity of 92.5% and specificity of 97.7%. Thus, the four significant features could adequately quantify the subtle changes and nonlinearities in the pixel intensities. The preliminary results presented in this paper indicate that the proposed technique can be reliably used as an adjunct tool for ovarian tumor classification since the system is accurate, completely automated, cost-effective, and can be easily written as a software application for use in any computer.

Requests for tumor marker tests in Turkey without indications and frequency of elevation in benign conditions

AIMS

To investigate the incidence of ordering tests for tumor markers which are used in cancer diagnosis, follow-up treatment and detection of recurrence, the rate of elevation in benign diseases and which clinics order them frequently.

MATERIALS AND METHOD

Data for the tumor markers carbohydrate antigen 19-9 (CA 19-9), carcinoembryonic antigen (CEA), cancer antigen 125 (CA 125), cancer antigen 15-3 (CA 15-3) and alpha- fetoprotein (AFP) that were ordered by all the clinics in our Hospital between 2010 and 2011 were screened. When excluding repeated orders the results of 3,416 patients were available. It has been determined that in which benign diseases were the tumor markers frequently ordered and which of these conditions had high levels of them.

RESULTS

CA 19-9 was ordered for 1,858 patients 191 (10.3%) were malignant while 1667 (89.7%) were ordered in benign diseases. For CEA the total was 1,710, 226 (13.2%) malignant and 1484 (86.8%) benign, and for CA 125 1267, 111 (8.8%) malignant and 1156 (91.2%) benign. AFP was ordered for 1687 cases, 80 (4.7%) malignant but 1607 (95.3%) benign. CA 15-3 was ordered 1449 times, 174 (12%) for malignant and 1275 (88%) for benign diseases. In all cases, considerable proportions were positive.

CONCLUSIONS

It was shown that clinicians frequently order tumor markers for benign conditions. The findings of this study has shown that tumor markers are used widely without indications as cancer screening tests.

Glycans as cancer biomarkers

BACKGROUND

Non-invasive biomarkers, such as those from serum, are ideal for disease prognosis, staging and monitoring. In the past decade, our understanding of the importance of glycosylation changes with disease has evolved.

SCOPE OF REVIEW

We describe potential biomarkers derived from serum glycoproteins for liver, pancreatic, prostate, ovarian, breast, lung and stomach cancers. Methods for glycan analysis have progressed and newly developed high-throughput platform technologies have enabled the analysis of large cohorts of samples in an efficient manner. We also describe this evolution and trends to follow in the future.

MAJOR CONCLUSIONS

Many convincing examples of aberrant glycans associated with cancer have come about from glycosylation analyses. Most studies have been carried out to identify changes in serum glycan profiles or through the isolation and identification of glycoproteins that contain these irregular glycan structures. In a majority of cancers the fucosylation and sialylation expression are found to be significantly modified. Therefore, these aberrations in glycan structures can be utilized as targets to improve existing cancer biomarkers.

GENERAL SIGNIFICANCE

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. Furthermore, the high-throughput and reproducible nature of the chromatography platform have highlighted extensive applications in biomarker discovery and allowed integration of glycomics with other -omics fields, such as proteomics and genomics, making systems glycobiology a reality. This article is part of a Special Issue entitled Glycoproteomics.

Evaluation of ovarian cancer biomarkers HE4 and CA-125 in women presenting with a suspicious cystic ovarian mass

Objective

Women presenting with a large or complex ovarian cyst are referred to extensive surgical staging to ensure the correct diagnosis and treatment of a possible epithelial ovarian cancer. We hypothesized that measurement of the biomarkers HE4 and CA-125 preoperatively would improve the assignment of these patients to the correct level of care.

Methods

Patients diagnosed with a cystic ovarian mass and scheduled for an operation at our center of excellence for ovarian cancer surgery from 2001 to 2010 were prospectively included (n=394) and plasma was collected consecutively. Cut-off for HE4 was calculated at 75% specificity (85 pM and 71.8 pM for post and premenopausal women). For CA-125, 35 U/mL cut-off was used. The study population included women with malignant (n=114), borderline (n=45), and benign (n=215) ovarian tumors.

Results

Receiver operator characteristic (ROC) area under the curve (AUC) in the benign versus malignant cohorts was 86.8% for CA-125 and 84.4% for HE4. Negative predictive value was 91.7% when at least one of the biomarkers was positive, with only early stage epithelial ovarian cancer showing false negative results. Sensitivity at set specificity (75%) was 87% for risk of ovarian malignancy algorithm (ROMA) in the postmenopausal cohort (cut-off point, 26.0%) and 81% in the premenopausal cohort (cut-off point, 17.3%). ROC AUC in the benign versus stage I epithelial ovarian cancer was only 72% for HE4 and 76% for CA-125.

Conclusion

In our study, population HE4 did not outperform CA-125. Based on our data a prospective trial with patients already diagnosed with an ovarian cyst may be conducted.

Improved blood tests for cancer screening: general or specific?

Diagnosis of cancer at an early stage leads to improved survival. However, most current blood tests detect single biomarkers that are of limited suitability for screening, and existing screening programmes look only for cancers of one particular type. A new approach is needed. Recent developments suggest the possibility of blood-based screening for multiple tumour types. It may be feasible to develop a high-sensitivity general screen for cancer using multiple proteins and nucleic acids present in the blood of cancer patients, based on the biological characteristics of cancer. Positive samples in the general screen would be submitted automatically for secondary screening using tests to help define the likelihood of cancer and provide some indication of its type. Only those at high risk would be referred for further clinical assessment to permit early treatment and mitigate potential overdiagnosis. While the assays required for each step exist, they have not been used in this way. Recent experience of screening for breast, cervical and ovarian cancers suggest that there is likely to be widespread acceptance of such a strategy.

Prognostic and diagnostic significance of DNA methylation patterns in high grade serous ovarian cancer

OBJECTIVE

Altered DNA methylation patterns hold promise as cancer biomarkers. In this study we selected a panel of genes which are commonly methylated in a variety of cancers to evaluate their potential application as biomarkers for prognosis and diagnosis in high grade serous ovarian carcinoma (HGSOC); the most common and lethal subtype of ovarian cancer.

METHODS

The methylation patterns of 10 genes (BRCA1, EN1, DLEC1, HOXA9, RASSF1A, GATA4, GATA5, HSULF1, CDH1, SFN) were examined and compared in a cohort of 80 primary HGSOC and 12 benign ovarian surface epithelium (OSE) samples using methylation-specific headloop suppression PCR.

RESULTS

The genes were variably methylated in primary HGSOC, with HOXA9 methylation observed in 95% of cases. Most genes were rarely methylated in benign OSE, with the exception of SFN which was methylated in all HGSOC and benign OSE samples examined. Methylation of DLEC1 was associated with disease recurrence, independent of tumor stage and suboptimal surgical debulking (HR 3.5 (95% CI:1.10-11.07), p=0.033). A combination of the methylation status of HOXA9 and EN1 could discriminate HGSOC from benign OSE with a sensitivity of 98.8% and a specificity of 91.7%, which increased to 100% sensitivity with no loss of specificity when pre-operative CA125 levels were also incorporated.

CONCLUSIONS

This study provides further evidence to support the feasibility of detecting altered DNA methylation patterns as a potential diagnostic and prognostic approach for HGSOC.

Preoperative platelet lymphocyte ratio as an independent prognostic marker in ovarian cancer

INTRODUCTION

Ovarian cancer is associated with high mortality due to presentation at advanced stage and high recurrence following treatment with chemotherapy. Most of the prognostic variables in ovarian cancer, including stage and residual disease, are amenable for assessment only after surgery. Currently there are no established preoperative markers including, CA-125, that can predict overall survival in patients with ovarian cancer. The aim of our study was to evaluate the prognostic significance of the preoperative haematological markers platelet lymphocyte ratio (PLR) and neutrophil lymphocyte ratio (NLR) in patients with ovarian cancer.

METHOD

Preoperative PLR and NLR were evaluated in 235 patients undergoing surgery for ovarian cancer. The prognostic significance of both markers was then determined by both uni- and multivariate analytical methods.

RESULTS

High preoperative PLR (p < 0.001) and NLR (p = 0.001) were significantly associated with poor survival using univariate Cox survival analysis. The median overall survival in patients with a PLR of < 300 was 37.4 months (95% CI 26.1-48.7) and 14.5 months (95% CI 11.7-17.2) in those with a PLR of > 300. PLR (p = 0.03) but not NLR (p = 0.575) retained its significance as a prognostic marker on multivariate Cox's regression analysis, along with stage (p < 0.001) and residual disease (p = 0.015).

CONCLUSION

We have shown for the first time that PLR is a novel independent prognostic marker in patients with ovarian cancer.

Co-expression of mesothelin and CA125 correlates with unfavorable patient outcome in pancreatic ductal adenocarcinoma

OBJECTIVES

Recent studies have shown that the high affinity of mesothelin-CA125 interaction might cause intracavitary tumor metastasis. We examined the clinicopathologic significance and prognostic implication of mesothelin and CA125 expression in pancreatic ductal adenocarcinoma.

METHODS

Tissue samples from 66 pancreatic ductal adenocarcinomas were immunohistochemically examined. Proportion and intensity of constituent tumor cells with mesothelin and CA125 expression were analyzed and classified as high-level expression, defined as expression by more than 50% of tumor cells and/or moderate to strong staining, or low-level expression otherwise.

RESULTS

A high level of mesothelin was correlated with a higher histological grade (P = 0.049) and the level of blood vessel permeation (P = 0.0006), whereas a high level of CA125 expression was correlated with a higher recurrence rate (P = 0.015). The expression of mesothelin was strongly correlated with that of CA125 (P = 0.0041). Co-expression of mesothelin and CA125 were associated with an unfavorable patient outcome (P = 0.0062).

CONCLUSIONS

This is the first report showing that co-expression of mesothelin and CA125 were in pancreatic ductal adenocarcinoma, and such co-expression is associated with a poor prognosis. Our finding suggests that co-expression of these two factors plays a significant role in the acquisition of aggressive clinical behavior.

Serum human epididymis protein 4 and risk for ovarian malignancy algorithm as new diagnostic and prognostic tools for epithelial ovarian cancer management

BACKGROUND

The aim of this work was to analyze the diagnostic and prognostic value of serum human epididymis protein 4 (HE4) and Risk for Ovarian Malignancy Algorithm (ROMA) in epithelial ovarian cancer (EOC).

METHODS

Preoperative serum samples of 419 women (140 healthy controls, 131 ovarian benign cysts, 34 endometriosis, and 114 EOC) were tested for CA125 and HE4 using fully automated methods (Abbott ARCHITECT) and validated cutoff values.

RESULTS

For the discrimination of benign masses from EOC, in premenopausal women, the sensitivity and specificity were 92.3% and 59.4% for CA125, 84.6% and 94.2% for HE4, and 84.6% and 81.2% for ROMA, whereas in postmenopausal women, the sensitivity and specificity were 94.3% and 82.3% for CA125, 78.2% and 99.0% for HE4, and 93.1% and 84.4% for ROMA. In patients with EOC, elevated CA125, HE4, and ROMA levels were associated with advanced Federation of Gynaecologists and Obstetricians (FIGO) stage, suboptimally debulking, ascites, positive cytology, lymph node involvement, and advanced age (all P ≤ 0.05). Elevated HE4 and ROMA (both P ≤ 0.01), but not CA125 (P = 0.0579), were associated with undifferentiated tumors. In multivariable analysis, elevated HE4 and ROMA (all P ≤ 0.05) were independent prognostic factors for shorter overall, disease-free, and progression-free survival.

CONCLUSIONS AND IMPACT

This study underlines the high specificity of HE4 in discriminating endometriosis and ovarian benign cysts from EOC and the high sensitivity of CA125 in detecting EOC. We showed HE4 and ROMA as independent prognostic factors. Multicenter studies are needed to draw firm conclusions about the applicability of HE4 and ROMA in clinical practice.

Silencing of p130cas in ovarian carcinoma: a novel mechanism for tumor cell death

BACKGROUND

We investigated the clinical and biological significance of p130cas, an important cell signaling molecule, in ovarian carcinoma.

METHODS

Expression of p130cas in ovarian tumors, as assessed by immunohistochemistry, was associated with tumor characteristics and patient survival. The effects of p130cas gene silencing with small interfering RNAs incorporated into neutral nanoliposomes (siRNA-DOPC), alone and in combination with docetaxel, on in vivo tumor growth and on tumor cell proliferation (proliferating cell nuclear antigen) and apoptosis (terminal deoxynucleotidyl transferase dUTP nick-end labeling) were examined in mice bearing orthotopic taxane-sensitive (HeyA8 and SKOV3ip1) or taxane-resistant (HeyA8-MDR) ovarian tumors (n = 10 per group). To determine the specific mechanisms by which p130cas gene silencing abrogates tumor growth, we measured cell viability (MTT assay), apoptosis (fluorescence-activated cell sorting), autophagy (immunoblotting, fluorescence, and transmission electron microscopy), and cell signaling (immunoblotting) in vitro. All statistical tests were two-sided.

RESULTS

Of 91 ovarian cancer specimens, 70 (76%) had high p130cas expression; and 21 (24%) had low p130cas expression. High p130cas expression was associated with advanced tumor stage (P < .001) and higher residual disease (>1 cm) following primary cytoreduction surgery (P = .007) and inversely associated with overall survival and progression-free survival (median overall survival: high p130cas expression vs low expression, 2.14 vs 9.1 years, difference = 6.96 years, 95% confidence interval = 1.69 to 9.48 years, P < .001; median progression-free survival: high p130cas expression vs low expression, 1.04 vs 2.13 years, difference = 1.09 years, 95% confidence interval = 0.47 to 2.60 years, P = .01). In mice bearing orthotopically implanted HeyA8 or SKOV3ip1 ovarian tumors, treatment with p130cas siRNA-DOPC in combination with docetaxel chemotherapy resulted in the greatest reduction in tumor growth compared with control siRNA therapy (92%-95% reduction in tumor growth; P < .001 for all). Compared with control siRNA therapy, p130cas siRNA-DOPC reduced SKOV3ip1 cell proliferation (31% reduction, P < .001) and increased apoptosis (143% increase, P < .001) in vivo. Increased tumor cell apoptosis may have persisted despite pan-caspase inhibition by the induction of autophagy and related signaling pathways.

CONCLUSIONS

Increased p130cas expression is associated with poor clinical outcome in human ovarian carcinoma, and p130cas gene silencing decreases tumor growth through stimulation of apoptotic and autophagic cell death.