Cancer antigen 125 and prognosis

Development of label-free immunosensors based on AuNPs-fullerene nanocomposites for the determination of cancer antigen 125

In this study, gold nanoparticles (AuNPs) were synthesized and combined with fullerene, resulting in the formation of nanocomposite structures. The structures were then characterized by scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDX) techniques. The nanostructures were functionalized with MPA and employed for covalent binding of CA125 antibody, whereby the antibody-bound nanocomposite structure was utilized for modification of the surface of the SPE. The surface of the immunosensor was protected by Nafion, and the individual stages of the immunosensor design were characterized by CV and EIS. CA125 determination was conducted using the EIS technique, which revealed a linear concentration range of 1-100 U·mL-1 and a LOD value of 0.016 U·mL-1. The immunosensor demonstrated selective recognition of CEA, NSE, HSA, and IgG proteins, exhibiting good reproducibility. The prepared immunosensor demonstrated 80.9% activity even after a 30-day period. Moreover, this immunosensor can be successfully employed in conventional clinical human serum applications. A comparison with existing literature reveals that the superior features of this immunosensor are its low LOD and high stability. Additionally, the short analysis time in comparison to commercial kits is considered a significant advantage. The prepared immunosensor displays valuable characteristics for the determination of CA125, and it has the potential to be developed for use in health applications.

Malignant ascites in ovarian cancer is compatible with long-term (10 year) survival with associations to clinicopathological features

OBJECTIVES

Ovarian cancer can present with malignant ascites at initial diagnosis or disease recurrence. Although indicative of advanced disease, the prognosis of malignant ascites is reported to be favorable for ovarian cancers compared to other malignancies. This study aims to detail the survival, in particular long-term (10 year), and predictive clinicopathological factors.

METHODS

Cases of malignant ascites confirmed by cytology and radiologic/histologic evidence supportive of ovarian primary, over three-decades, were retrieved. Survival data was obtained, and long-term survivors were identified. Corresponding demographical, clinical, biochemical, hematological, serological, and pathological data at onset of ascites were reviewed for survival analysis.

RESULTS

Totally 277 cases were reviewed, with a mean overall survival of 69.3 months, including 27 (9.7%) long survivors. Old age, high-grade histology, low haemoglobin, serum albumin and total protein, long APTT, ECOG score ≥ 3 and prior chemotherapy associated with mortality and shorter overall survival (p = 0.03-<0.01), whereas administration of chemotherapy after onset of ascites correlated with better outcome (p < 0.01). APTT, ECOG score, total serum protein and prior chemotherapy remained independent predictors on multivariable analysis. Remission was common in long survivors, with only one (3.7%) patient dying of disease. Long survival was more common in patients with younger age, low-grade serous and endometrioid histology, lower platelet count, higher serum albumin and total protein, and patients receiving surgical treatment after ascites (p < 0.05).

CONCLUSION

Factors predicting long survival in ovarian carcinoma patients with malignant ascites were age, histology, hematological and biochemical markers, and those with favorable clinicopathological features are compatible with long survival.

Molecular Biomarkers in Borderline Ovarian Tumors: Towards Personalized Treatment and Prognostic Assessment

Borderline Ovarian Tumours (BOTs) are a heterogenous group of ovarian neoplasms which have increased mitotic activity but lack stromal invasion. We performed a narrative review of the literature, aiming to identify prognostic molecular biomarkers that can potentially be used for treatment personalisation. We identified and discussed BRAF/KRAS, Cancer Antigen 125 (Ca 125), Calprotectin, p16ink4a, and Microsatellite instability (MSI) as the most studied biomarkers related to BOTs. Overall, BRAF and KRAS mutations are associated with earlier-stage and favourable prognosis; KRASmt may indicate extraovarian disease in serous BOT (sBOT). Ca125, the only currently clinically used biomarker, can be assessed pre-operatively and has an established role in post-operative surveillance, especially when it is raised pre-operatively or a high potential for malignant transformation is suspected post-operatively. p16ink4a expression trends could also indicate the malignant transformation of the tumour. Calprotectin has an inferior specificity to Ca125 and is not yet established as a biomarker, whilst there is very limited evidence available for MSI. As new evidence is coming along with artificial intelligence platforms, these biomarkers can be integrated and used towards the development of a precision model for treatment stratification and counselling in women diagnosed with BOTs.

Circulating microRNAs for Early Diagnosis of Ovarian Cancer: A Systematic Review and Meta-Analysis

In this study, we conducted a systematic review and meta-analysis to summarize and evaluate the global research potential of different circulating miRNAs as an early diagnostic biomarker for OC. A systematic literature search for relevant studies was conducted in June 2020 and followed up in November 2021. The search was conducted in English databases (PubMed, ScienceDirect). The primary search resulted in a total of 1887 articles, which were screened according to the prior established inclusion and exclusion criteria. We identified 44 relevant studies, of which 22 were eligible for the quantitative meta-analysis. Statistical analysis was performed using the Meta-package in Rstudio. Standardized mean differences (SMD) of relative levels between control subjects and OC patients were used to evaluate the differential expression. All studies were quality evaluated using a Newcastle-Ottawa Scale. Based on the meta-analysis, nine miRNAs were identified as dysregulated in OC patients compared to controls. Nine were upregulated in OC patients compared to controls (miR-21, -125, -141, -145, -205, -328, -200a, -200b, -200c). Furthermore, miR-26, -93, -106 and -200a were analyzed, but did not present an overall significant difference between OC patients and controls. These observations should be considered when performing future studies of circulating miRNAs in relation to OC: sufficient size of clinical cohorts, development of consensus guidelines for circulating miRNA measurements, and coverage of previously reported miRNAs.

Growth Differentiation Factor-15 as a Candidate Biomarker in Gynecologic Malignancies: A Meta-analysis

Growth differentiation factor-15 (GDF-15), though emerged as a novel marker in gynecological cancers, is yet to be recognized in clinical diagnostics. Eligible studies were sorted from multiple online databases, namely PubMed, Cochrane, ClinicalTrials.gov, Google Scholar, Web of Science, Embase, Scopus, LILACS, and Opengrey. From six studies, histopathologically diagnosed cases without prior treatment, and with diagnostic accuracy data for GDF-15 in gynecological cancers, were included. Our meta-analysis shows that GDF-15 has pooled diagnostic odds ratio of 12.74 at 80.5% sensitivity and 74.1% specificity, and an area under the curve of 0.84. Hence, GDF-15 is a potential marker to differentiate gynecological malignancy from non-malignant tumors.

Prognostic Significance of HE4 Tissue Expression in Serous Epithelial Ovarian Carcinoma

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

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

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

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

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

OBJECTIVE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

Leveraging Genetic Reports and Electronic Health Records for the Prediction of Primary Cancers: Algorithm Development and Validation Study

BACKGROUND

Precision oncology has the potential to leverage clinical and genomic data in advancing disease prevention, diagnosis, and treatment. A key research area focuses on the early detection of primary cancers and potential prediction of cancers of unknown primary in order to facilitate optimal treatment decisions.

OBJECTIVE

This study presents a methodology to harmonize phenotypic and genetic data features to classify primary cancer types and predict cancers of unknown primaries.

METHODS

We extracted genetic data elements from oncology genetic reports of 1011 patients with cancer and their corresponding phenotypical data from Mayo Clinic's electronic health records. We modeled both genetic and electronic health record data with HL7 Fast Healthcare Interoperability Resources. The semantic web Resource Description Framework was employed to generate the network-based data representation (ie, patient-phenotypic-genetic network). Based on the Resource Description Framework data graph, Node2vec graph-embedding algorithm was applied to generate features. Multiple machine learning and deep learning backbone models were compared for cancer prediction performance.

RESULTS

With 6 machine learning tasks designed in the experiment, we demonstrated the proposed method achieved favorable results in classifying primary cancer types (area under the receiver operating characteristic curve [AUROC] 96.56% for all 9 cancer predictions on average based on the cross-validation) and predicting unknown primaries (AUROC 80.77% for all 8 cancer predictions on average for real-patient validation). To demonstrate the interpretability, 17 phenotypic and genetic features that contributed the most to the prediction of each cancer were identified and validated based on a literature review.

CONCLUSIONS

Accurate prediction of cancer types can be achieved with existing electronic health record data with satisfactory precision. The integration of genetic reports improves prediction, illustrating the translational values of incorporating genetic tests early at the diagnosis stage for patients with cancer.

Targeting eukaryotic elongation factor-2 kinase suppresses the growth and peritoneal metastasis of ovarian cancer

Ovarian cancer (OC) is the deadliest gynecological cancer and is currently incurable with standard treatment regimens. Early invasion, intraperitoneal metastasis, and an aggressive course are the hallmarks of OC. The major reason for poor prognosis is a lack of molecular targets and highly effective targeted therapies. Therefore, identification of novel molecular targets and therapeutic strategies is urgently needed to improve OC survival. Herein we report that eukaryotic elongation factor-2 kinase (EF2K) is highly upregulated in primary and drug-resistant OC cells and its expresssion associated with progression free survival TCGA database) and promotes cell proliferation, survival, and invasion. Downregulation of EF2K reduced expression of integrin β1 and cyclin D1 and the activity of the Src, phosphoinositide 3-kinase/AKT, and nuclear factor-κB signaling pathways. Also, in vivo, therapeutic targeting of EF2K by using single-lipid nanoparticles containing siRNA led to substantial inhibition of ovarian tumor growth and peritoneal metastasis in nude mouse models. Furthermore, EF2K inhibition led to robust apoptosis and markedly reduced intratumoral proliferation in vivo in ovarian tumor xenografts and intraperitoneal metastatic models. Collectively, our data suggest for the first time that EF2K plays an important role in OC growth, metastasis, and progression and may serve as a novel therapeutic target in OCs.

Laboratory predictors of survival in ovarian cancer

OBJECTIVE

To relate disease-free survival and overall survival with type I and type II ovarian cancer and preoperative laboratory parameters biomarkers.

METHODS

A retrospective study was carried out based on the collection of data from medical records of patients with ovarian tumors. Kaplan-Mayer curves were drawn based on the statistical analysis of the data and were compared using the Log-rank test.

RESULTS

Disease-free survival in type I ovarian cancer was significantly higher than in type II (p=0.0013), as well as in those with normal levels of CA-125 (p=0.0243) and with a platelet-lymphocyte ratio (PLR) lower than 200 (p=0.0038). The overall survival of patients with type I ovarian cancer was significantly higher than in patients with type II, as well as in patients with normal CA-125 serum levels (p=0.0039) and those with a preoperative fasting glucose of less than 100 mg/dL.

CONCLUSION

CA-125 levels may predict greater overall and disease-free survival. PLR < 200 may suggest greater disease-free survival, whereas normal fasting glucose may suggest greater overall survival.

TGF-β1 mediates lncRNA GAPLINC expression to promote the migration and invasion of non-small cell lung cancer

Purpose: The present study aims to investigate the involvement of lncRNA GAPLINC in non-small lung cancer (NSCLC).

Patients and methods: The study included 70 patients with NSCLC (39 males and 31 females, 33 to 68 years, 49.3 ± 6.4 years). RT-qPCR, transient cell transfections, measurement of in vitro cell migration and invasion abilities and western blot were carrying out during the research.

Results: We showed that GAPLINC was up-regulated in NSCLC tissues and positively correlated with TGF-β1. In vitro cell experiment showed that over-expression of TGF-β1 significantly up-regulated the expression of GAPLINC, while over-expression of GAPLINC failed to affect TGF-β1. Follow-up study showed that high GAPLINC level in NSCLC tissue was closely correlated with poor survival rate of NSCLC patients. Over-expressions of TGF-β1 and GAPLINC resulted to accelerated migration and invasion of NSCLC cells. In addition, the silencing of GAPLINC siRNA attenuated the effect of TGF-β1 treatment.

Conclusion: TGF-β1 may mediate lncRNA GAPLINC expression to promote NSCLC cell invasion and migration.

Paper based immunosensing of ovarian cancer tumor protein CA 125 using novel nano-ink: A new platform for efficient diagnosis of cancer and biomedical analysis using microfluidic paper-based analytical devices (μPAD)

Ovarian cancer is the first and most important cause of malignancy death in women. Mucin 16 or MUC16 protein also known as carcinoma antigen 125 (CA 125) is the most commonly used glycoprotein for early stage diagnosis of ovarian cancer. In this work, a novel paper-based bio-device through hand writing of Ag/RGO (silver nanoparticles/reduced graphene oxide) nano-ink on the flexible paper substrate using pen-on-paper technology was developed. The prepared interface was used to the recognition of CA 125 protein in human biofluid. For this purpose, Ag/rGO nano-ink was synthesized by deposition of Ag nanoparticles onto graphene oxide sheets and the reduction of graphene oxide to rGO simultaneously. Conductivity and resistance of conductive lines were studied after drawing on photographic paper. Subsequently, to prepare a new and unique immuno-device, paper electrode modified by cysteamine caped gold nanoparticles (CysA/Au NPs) using electrochemical techniques. CysA is bonded by sulfur atoms with Au (CysA/Au NPs), and from the amine group with hydroxyl and carboxyl groups of Ag/RGO nano-ink deposited on the surface of paper-based electrodes (CysA/Au NPs/Ag-rGO). Then, anti-CA 125 antibody was immobilized on the electrode surface through Au NPs and CA 125 positively charged amine groups interaction. Atomic force microscopy, Transmission electron microscopy, Field emission scanning electron microscopy, and dynamic light scattering, were performed to identify the engineered immunosensor. Using chronoamperometry technique and under the optimized conditions, the low limit of quantitation (LLOQ) for the proposed immunoassay was recorded as 0.78 U/ml, which this evaluation was performed at highly linear range of 0.78-400 U/ml. The high sensitivity of the electrochemical immunosensor device is indicative of the ability of this immuno-device to detect early stages ovarian cancer.

Unraveling a difficult diagnosis: the tricks for early recognition of ovarian cancer

Epithelial ovarian cancer (EOC) is the predominant type of ovarian cancer (OC). The 5-year survival of patients has improved over the last three decades, although the overall cure rate of OC if about 30%. Despite high response rates after initial chemotherapy, most patients with advanced ovarian cancer ultimately develop the recurrent disease because of resistance to chemotherapy. A proper early diagnosis and treatment of patients with ovarian cancer are urgently needed. Nowadays the diagnosis is performed by means of clinical symptoms and signs, often indicators of a disease already at an advanced stage, tumor markers (CA125 and HE4), transvaginal ultrasonography and imaging, very useful in distinguishing adnexal masses. Understand the nature of an adnexal mass is the primary point to begin the diagnosis of OC. Validated different model to approach and characterize adnexal pathology preoperatively are described, such as the International Ovarian Tumor Analysis (IOTA) and the Assessment of Different NEoplasias in the AdneXa (ADNEX) model. New tumor markers, such as PRSS8, FOLR1, KLK6/7, GSTT1, and miRNAs, are getting ahead and are worth noting for early detection of ovarian cancer. Despite the development of numerous ultrasound models for the diagnosis of adnexal masses and the analysis of different tumor markers, the early diagnosis of ovarian cancer is still difficult to practice. Moreover, identifying genetic risk alleles, such as germline BRCA1 and BRCA2 mutations, for ovarian cancer has had a significant impact on disease prevention strategies.

Integrated multiomic predictors for ovarian cancer survival

Increasingly affordable high-throughput molecular profiling technologies have made feasible the measurement of omics-wide interindividual variations for the purposes of predicting cancer prognosis. While multiple types of genetic, epigenetic and expression changes have been implicated in ovarian cancer, existing prognostic biomarker strategies are constrained to analyzing a single class of molecular variations. The extra predictive power afforded by the integration of multiple omics types remains largely unexplored. In this study, we performed integrative analysis on tumor-based exome-, transcriptome- and methylome-wide molecular profiles from The Cancer Genome Atlas (TCGA) for variations in cancer-relevant genes to construct robust, cross-validated multiomic predictors for ovarian cancer survival. These integrated polygenic survival scores (PSSs) were able to predict 5-year overall (OS) and progression-free survival in the Caucasian subsample with high accuracy (AUROC = 0.87 and 0.81, respectively). These findings suggest that the PSSs are able to predict long-term OS in TCGA patients with accuracy beyond that of previously proposed protein-based biomarker strategies. Our findings reveal the promise of an integrated omics-based approach in enhancing existing prognostic strategies. Future investigations should be aimed toward prospective external validation, strategies for standardizing application and the integration of germline variants.

Serum relaxin as a diagnostic and prognostic marker in patients with epithelial ovarian cancer

BACKGROUND AND AIM

Relaxin is a short circulating peptide hormone. The aim of this study was to understand the role of relaxin in progression of epithelial ovarian cancer (EOC) and to assess its diagnostic and prognostic significance.

METHODS

A total of 124 patients with EOC, 46 patients with benign ovarian diseases, and 50 healthy controls were recruited. Serum levels of relaxin were determined by ELISA method. The relationship between serum relaxin level and each of the clinicopathological parameters was analyzed using the χ2 test. Survival curves were plotted using the Kaplan-Meier method. The statistical difference in survival between the different groups was compared using the log-rank test. Survival correlation with the prognostic factors was further investigated by multivariate analysis using the Cox proportional hazards model with backward stepwise likelihood ratio.

RESULTS

The results showed that serum relaxin level was significantly higher in patients with EOC than those with benign ovarian diseases and healthy controls (p< 0.01). Serum relaxin level was associated with FIGO stage, lymph node metastasis, tumor resectability, survival of the patients, chemotherapy and tumor recurrence (p< 0.05). Analysis using the Kaplan-meier method indicated that patients with high serum relaxin had significantly shorter overall survival time than those with low relaxin (p< 0.01). In a multivariate analysis along with clinical prognostic parameters, serum relaxin was identified as an independent adverse prognostic variable for survival.

CONCLUSIONS

These results indicated that serum relaxin may be a clinically useful indicator for diagnostic and prognostic evaluation in EOC patients.

Construction of diagnosis system and gene regulatory networks based on microarray analysis

A microarray analysis generally contains expression data of thousands of genes, but most of them are irrelevant to the disease of interest, making analyzing the genes concerning specific diseases complicated. Therefore, filtering out a few essential genes as well as their regulatory networks is critical, and a disease can be easily diagnosed just depending on the expression profiles of a few critical genes. In this study, a target gene screening (TGS) system, which is a microarray-based information system that integrates F-statistics, pattern recognition matching, a two-layer K-means classifier, a Parameter Detection Genetic Algorithm (PDGA), a genetic-based gene selector (GBG selector) and the association rule, was developed to screen out a small subset of genes that can discriminate malignant stages of cancers. During the first stage, F-statistic, pattern recognition matching, and a two-layer K-means classifier were applied in the system to filter out the 20 critical genes most relevant to ovarian cancer from 9600 genes, and the PDGA was used to decide the fittest values of the parameters for these critical genes. Among the 20 critical genes, 15 are associated with cancer progression. In the second stage, we further employed a GBG selector and the association rule to screen out seven target gene sets, each with only four to six genes, and each of which can precisely identify the malignancy stage of ovarian cancer based on their expression profiles. We further deduced the gene regulatory networks of the 20 critical genes by applying the Pearson correlation coefficient to evaluate the correlationship between the expression of each gene at the same stages and at different stages. Correlationships between gene pairs were calculated, and then, three regulatory networks were deduced. Their correlationships were further confirmed by the Ingenuity pathway analysis. The prognostic significances of the genes identified via regulatory networks were examined using online tools, and most represented biomarker candidates. In summary, our proposed system provides a new strategy to identify critical genes or biomarkers, as well as their regulatory networks, from microarray data.

Performance of seven criteria to assess CA125 increments among ovarian cancer patients monitored during first-line chemotherapy and the post-therapy follow-up period

Aim:

To investigate seven CA125 criteria to monitor progressive ovarian cancer among patients with stage IC–IV disease.

Materials & methods:

Four criteria were used to asses CA125 increments starting from concentrations ≥35 U/ml and three criteria to asses increments starting from concentrations <35 U/ml.

Results:

A total of 231 patients were allocated to CA125 monitoring. The performances of the CA125 criteria were similar with sensitivities of 30–55%, negative predictive values of 28–46%, positive predictive values of 90–100% and median lead times of 26–87 days.

Conclusion:

The criteria showed low sensitivity and inability to exclude progressive ovarian cancer. The study suggests that CA125 information cannot stand alone but should be considered used in conjunction with other investigative procedures.

Few have validated the CA125 progression criteria proposed by Rustin et al. in 1996 and in 2001. These two criteria were officially recommended by the Gynecological Cancer Intergroup to be incorporated into clinical trials in 2010. Among other criteria, we validated the Gynecological Cancer Intergroup CA125 progression criteria in an ovarian cancer population regarding sensitivity, specificity, positive predictive value and negative predictive value. We found that the criteria had low sensitivity and ability to exclude tumor growth. We believe that the clinical utility of CA125 may be questioned, and there is a need for supplementary markers and alternative assessment criteria.

Genomic markers of ovarian adenocarcinoma and its relevancy to the effectiveness of chemotherapy

Ovarian cancer is the eighth most common cancer and the seventh highest cause of cancer-associated mortality in women worldwide. It is the second highest cause of mortality among female reproductive malignancies. The current standard first-line treatment for advanced ovarian cancer includes a combination of surgical debulking and standard systemic platinum-based chemotherapy with carboplatin and paclitaxel. Although a deeper understanding of this disease has been attained, relapse occurs in 70% of patients 18 months subsequent to the first-line treatment. Therefore, it is crucial to develop a novel drug that effectively affects ovarian cancer, particularly tumors that are resistant to current chemotherapy. The aim of the present study was to identify genes whose expression may be used to predict survival time or prognosis in ovarian cancer patients treated with chemotherapy. Gene or protein expression is an important issue in chemoresistance and survival prediction in ovarian cancer. In the present study, the research group consisted of patients treated at the Surgical Clinic of the Gynecology and Obstetrics Gynecological Clinical Hospital, Poznan University of Medical Sciences (Poznan, Poland) between May 2006 and November 2014. Additional eligibility criteria were a similar severity (International Federation of Gynecolgy and Obstetrics stage III) at the time of diagnosis, treatment undertaken in accordance with the same schedule, and an extremely good response to treatment or a lack of response to treatment. The performance of the OncoScan^® assay was evaluated by running the assay on samples obtained from the four patients and by following the recommended protocol outlined in the OncoScan assay manual. The genomic screening using Affymetrix OncoScan Arrays resulted in the identification of large genomic rearrangements across all cancer tissues. In general, chromosome number changes were detected in all examined tissues. The OncoScan arrays enabled the identification of ~100 common somatic mutations. Chemotherapy response in ovarian cancer is extremely complex and challenging to study. The present study identified specific genetic alterations associated with ovarian cancer, but not with response for treatment.

Thymidine kinase 1 expression in ovarian serous adenocarcinoma is superior to Ki-67: A new prognostic biomarker

Cancer is a disease with abnormally proliferating cells and therefore proliferation rate is an important index for assessing tumour growth. Ki-67 is a commonly used proliferation marker considered to be an unfavourable prognostic marker in some tumors, while Thymidine kinase 1 (TK1) is an interesting proliferation marker because its levels are highly dependent on the growth stage of cells. To define the immunohistochemistry (IHC) expression of the TK1 in patients with ovarian serous adenocarcinoma and establish its potential role as a new biomarker for progressive disease, we analyzed the expression patterns of TK1 and Ki-67 in 109 patients with ovarian serous adenocarcinoma. TK1 and Ki-67 expression both showed a statistically significant correlation to MD Anderson Cancer Center (MDACC) grade, but not to age, tumour size, lymph node metastasis or pathological TNM (pTNM) stages. TK1 expression, MDACC grades, pathological stages and lymph node metastasis correlate to relapse incident rate and overall survival, but Ki-67 does not. Although TK1 expression, MDACC grade, pTNM stage and lymph node metastasis significantly correlate to relapse in the Cox univariate analysis, in the multivariate Cox analysis only TK1 expression and lymph node metastasis were independent prognostic factors. The overall survival also correlated significantly to TK1 expression, MDACC grade, pTNM stage and lymph node metastasis in the Cox univariate analysis. However, only the pTNM stage was found to be an independent prognostic factor for survival in the Cox multivariate analysis. Therefore, though TK1 expression was an independent prognostic factor for relapse, but not for survival, TK1 is a more informative expression than Ki-67 for LI, relapse and overall survival rates. Thus, when TK1 is combined with MDACC grading, pTNM staging and lymph node metastasis, IHC determination of TK1 expression may improve the overall prediction of prognosis in patients with ovarian cancer.

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

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

Predictors of pretreatment CA125 at ovarian cancer diagnosis: a pooled analysis in the Ovarian Cancer Association Consortium

PURPOSE

Cancer antigen 125 (CA125) is a glycoprotein expressed by epithelial cells of several normal tissue types and overexpressed by several epithelial cancers. Serum CA125 levels are mostly used as an aid in the diagnosis of ovarian cancer patients, to monitor response to treatment and detect cancer recurrence. Besides tumor characteristics, CA125 levels are also influenced by several epidemiologic factors, such as age, parity, and oral contraceptive use. Identifying factors that influence CA125 levels in ovarian cancer patients could aid in the interpretation of CA125 values for individuals.

METHODS

We evaluated predictors of pretreatment CA125 in 13 studies participating in the Ovarian Cancer Association Consortium. This analysis included a total of 5,091 women with invasive epithelial ovarian cancer with pretreatment CA125 measurements. We used probit scores to account for variability in CA125 between studies and linear regression to estimate the association between epidemiologic factors and tumor characteristics and pretreatment CA125 levels.

RESULTS

In age-adjusted models, older age, history of pregnancy, history of tubal ligation, family history of breast cancer, and family history of ovarian cancer were associated with higher CA125 levels while endometriosis was associated with lower CA125 levels. After adjusting for tumor-related characteristics (stage, histology, grade), body mass index (BMI) higher than 30 kg/m2 was associated with 10% (95% CI 2, 19%) higher CA125 levels, while race (non-white vs. white) was associated with 15% (95% CI 4, 27%) higher CA125 levels.

CONCLUSION

Our results suggest that high BMI and race may influence CA125 levels independent of tumor characteristics. Validation is needed in studies that use a single assay for CA125 measurement and have a diverse study population.

Impact of Preoperative Serum Levels of CA 125 on Epithelial Ovarian Cancer Survival

BACKGROUND

CA125 is very helpful in treatment monitoring and detection of epithelial ovarian cancer (EOC) recurrence. However there is controversy as to its accuracy and optimal usage. What is the impact of the CA125 levels before primary surgery treatment to the survival of patients? This study aimed to detect any association of preoperative serum levels with prognosis and survival in EOC patients.

MATERIALS AND METHODS

Our cohort comprised EOC patients in Dr. Sardjito Hospital, Yogyakarta, Indonesia, who complied with follow up. To explore the effect of preoperative CA125 levels and other variables on survival Cox's regression models were applied.

RESULTS

A total of 90 cases of EOC who had surgery were available for follow up. The level of CA125 poroved to be a prognostic factor for overall survival of EOC patients, with an adjusted HR of 4.10 (p = 0.03). Adjuvant chemotherapy was another prognostic factor, 1 - 2 cycles having an adjusted HR of 0.17 (p = 0.04) and 3 - 8 cycles HR 0.39 (p = 0.06). Other factors such as age of patients adjusted HR 1.54 (p = 0.32), moderate differentiation (adjusted HR 1.61, p = 0.51) poor differentiation (adjusted HR 3.41, p = 0.15), and stage of disease (adjusted HR 1.98, p = 0.27) were statistically not significant. However, this might have been because the power of the study was low.

CONCLUSIONS

Preoperative level of CA125 is a prognostic factor for overall survival in EOC patients. The best cut-off for prognostic classification of CA125 serum level is 70 U/ml.

Comparison of specific ovarian tumor markers by elecsys analyzer 2010

Background:

the most widely used tumor marker in ovarian cancer, often considered the ‘gold standard’ is CA125 but reliable clinical evidence demonstrates that human epididymis protein (HE4), used alone or in combination with CA125, substantially improves the accuracy of screening and/or disease monitoring.

Aim:

to evaluate the reliability of the determination a tumor marker HE4 in comparison with CA125 on the Elecsys analyzer 2010 in epithelial ovarian cancer, benign ovarian cyst and healthy controls.

Methods:

we prospectively determined CA125 and HE4 serum levels in the Biochemical-Immunological-Haematological “Medical Laboratory” Ilidza, Sarajevo, B&H between June 1^st and December 31^st 2011. Electro-chemiluminescence immunoassay (ECLIA) methods for quantitative determination in vitro were performed on the Roche/Hitachi Elecsys 2010 Immunoassay Analyzer. Standard methods of descriptive statistics were performed for the data analysis.

Results:

univariate statistical analyze of tumor marker control serum revealed a high reliability for both CA125 and HE4 determination (p>0.05). Levey-Jennings charts of quality control data show that the target and the obtained values of both markers control sera do not differ significantly in relation to the ideal value. In a total number of 60 patients compared values of tumor markers show a high correlation (r=0.85). This study confirmed higher sensitivity and specificity of HE4 tumor marker compared with CA125. ROC-AUC values show that the diagnostic performance of HE4 was significantly higher compared with CA125.

Conclusion:

We concluded that HE4 was better than CA125 as a single tumor marker.

Baseline and post prophylactic tubal-ovarian surgery CA125 levels in BRCA1 and BRCA2 mutation carriers

The aim of this study was to determine whether BRCA1 and BRCA2 mutation carriers have different baseline CA125 levels compared with non-carriers, and whether a significant difference in pre- and post-operative CA125 levels exists in BRCA mutation carriers undergoing risk-reducing bilateral salpingo-oophorectomy (RRBSO). The study also considered whether CA125 measurements should continue in unaffected BRCA mutation carriers after RRBSO. 383 Eligible women were identified through retrospective review of the BRCA Carrier Clinic at The Royal Marsden NHS Foundation Trust, London, UK. These women all had CA125 levels measured as they were either a carrier or at risk of a BRCA1 or BRCA2 mutation. Of these, 76 went on to have a negative predictive test for their familial mutation and so are classed as 'non-carriers'. 133 BRCA1 and 87 BRCA2 carriers had RRBSO, with a further 26 BRCA1 carriers, 28 BRCA2 carriers and one non-carrier developing ovarian cancer. The remaining 21 BRCA1 and 28 BRCA2 carriers did not have RRBSO or develop ovarian cancer in the time of study follow-up. CA125 levels were measured as surveillance or as part of pre-RRBSO care. CA125 measurement post-RRBSO was continued in 48 BRCA1 and 40 BRCA2 carriers. In 154 BRCA1 mutation carriers, the median baseline (i.e. before RRBSO and with no clinical signs of ovarian cancer) CA125 level was 9.0 U/ml (range 2-78) and was 10.0 U/ml (range 1-43) in 115 BRCA2 mutation carriers. When compared with the 75 non-carriers (median baseline CA125 10.0 U/ml; range 2-52), there was no significant difference between the BRCA1, BRCA2 and non-carrier groups. There was a significant reduction in CA125 from pre- to post-RRBSO in 48 BRCA1 carriers (p = 0.04) but no significant difference in 40 BRCA2 mutation carriers (p = 0.5). Out of a total of 220 mutation carriers who underwent RRBSO, two had an incidental ovarian cancer found on histopathology and another developed primary peritoneal cancer during the follow-up period. Our study is the first to compare initial serum CA125 levels in BRCA1 and BRCA2 mutation carriers with those of non-carriers. Our study found no significant difference between the three groups. A drop in CA125 levels after RRBSO in BRCA1 carriers supports the finding of earlier studies, but differed in that the fall was not seen in BRCA2 carriers. The finding of only one case of post-operative peritoneal cancer in 220 carriers undergoing RRBSO supports the discontinuation of post-RRBSO serum CA125 monitoring in BRCA mutation carriers.

A high serum level of M65 is associated with tumour aggressiveness and an unfavourable prognosis for epithelial ovarian cancer

PURPOSE

This study was conducted to determine the clinical significance of serum M30 and M65 in epithelial ovarian cancer (EOC).

METHODS

A total of 56 patients with EOC and 56 healthy women were included in the study. All of the patients received platinum-based chemotherapy. Pretreatment levels of M30 and M65 were measured using the quantitative ELISA method.

RESULTS

The median M30 and M65 serum levels were significantly elevated in the EOC patients compared with the healthy controls (96.7 vs. 69.5, p = 0.028 and 436.4 versus 166.3, p < 0.001, respectively). The cut-off value of 423.4 U/L for M65 determined with ROC analysis, predicted progression with 75.1 % sensitivity and 65.6 % specificity (AUC = 0.708, p = 0.008). Patients with higher M65 levels had shorter progression-free survival (PFS) (p = 0.021). Both M30 and M65 serum levels were significantly higher for serous-type histology (p = 0.001 and p < 0.001, respectively). Increased M65 serum levels were associated with advanced disease (p = 0.005) and higher grade (p = 0.005). Moreover, M65 levels were higher for chemotherapy-resistant patients (p = 0.04). Multivariate analysis revealed that an elevated serum M65 level was the only significant independent prognostic factor (p = 0.039, HR 3.792).

CONCLUSIONS

These results indicated that serum M30 and M65 levels were significantly elevated in patients with EOC compared with healthy women. Particularly, high serum M65 levels were associated with poor prognosis and resistance to platinum-based chemotherapy.

CA-125 level as a prognostic indicator in type I and type II epithelial ovarian cancer

OBJECTIVE

Most patients with epithelial ovarian cancer achieve a complete clinical remission (CCR) with normal CA-125 but will still relapse and die from their disease. The present study was designed to determine whether CA-125 levels before, during, and after primary treatment provide prognostic information for both type I and type II ovarian cancer.

METHODS

In this retrospective study, we identified 410 patients with epithelial ovarian cancer who had achieved a CCR between 1984 and 2011. A Cox proportional hazards model and log-rank test were used to assess associations between the nadir CA-125, histotype, and prognosis.

RESULTS

The baseline serum CA-125 concentration was higher in patients with type II ovarian cancer than in those with type I ovarian cancer (P < 0.001). The nadir CA-125 was an independent predictor of progression-free survival (PFS; P < 0.001) and overall survival (OS; P = 0.035) duration. The PFS and OS durations were 21.7 and 79.4 months in patients with CA-125 of 10 U/mL or less and 13.6 and 64.6 months in those with CA-125 of 11 to 35 U/mL, respectively (P = 0.01 and P = 0.002, respectively). Histotype was an independent predictor of PFS (P = 0.041): the PFS and OS durations of the patients with type I ovarian cancer were longer than those of the patients with type II ovarian cancer (P < 0.001 and P < 0.001, respectively).

CONCLUSIONS

The nadir CA-125 and histotype are predictive of PFS and OS durations in patients with ovarian cancers who experienced a CCR. Progression-free survival and OS durations were shorter in the patients with CA-125 levels of 11 to 35 U/mL and type II disease than in those with CA-125 levels of 10 U/mL or less and type I ovarian cancer.

Nadir CA-125 level as prognosis indicator of high-grade serous ovarian cancer

Purpose

The capacity of nadir CA-125 levels to predict the prognosis of epithelial ovarian cancer remains controversial. This study aimed to explore whether the nadir CA-125 serum levels could predict the durations of overall survival (OS) and progression free survival (PFS) in patients with high-grade serous ovarian cancer (HG-SOC) from the USA and PRC.

Materials and methods

A total of 616 HG-SOC patients from the MD Anderson Cancer Center (MDACC, USA) between 1990 and 2011 were retrospectively analyzed. The results of 262 cases from the Jiangsu Institute of Cancer Research (JICR, PRC) between 1992 and 2011 were used to validate the MDACC data. The CA-125 immunohistochemistry assay was performed on 280 tissue specimens. The Cox proportional hazards model and the log-rank test were used to assess the associations between the clinicopathological characteristics and duration of survival.

Results

The nadir CA-125 level was an independent predictor of OS and PFS (p < 0.01 for both) in the MDACC patients. Lower nadir CA-125 levels (≤10 U/mL) were associated with longer OS and PFS (median: 61.2 and 16.8 months with 95% CI: 52.0–72.4 and 14.0–19.6 months, respectively) than their counterparts with shorter OS and PFS (median: 49.2 and 10.5 months with 95% CI: 41.7–56.7 and 6.9–14.1 months, respectively). The nadir CA-125 levels in JICR patients were similarly independent when predicting the OS and PFS (p < 0.01 for both). Nadir CA-125 levels less than or equal to 10 U/mL were associated with longer OS and PFS (median: 59.9 and 15.5 months with 95% CI: 49.7–70.1 and 10.6–20.4 months, respectively), as compared with those more than 10 U/mL (median: 42.0 and 9.0 months with 95% CI: 34.4–49.7 and 6.6–11.2 months, respectively). Baseline serum CA-125 levels, but not the CA-125 expression in tissues, were associated with the OS and PFS of HG-SOC patients in the MDACC and JICR groups. However, these values were not independent. Nadir CA-125 levels were not associated with the tumor burden based on second-look surgery (p = 0.09). Patients who achieved a pathologic complete response had longer OS and PFS (median: 73.7 and 20.7 months with 95% CI: 63.7–83.7 and 9.5–31.9 months, respectively) than those with residual tumors (median: 34.6 and 10.6 months with 95% CI: 6.9–62.3 and 4.9–16.3 months, respectively).

Conclusions

The nadir CA-125 level was an independent predictor of OS and PFS in HG-SOC patients. Further prospective studies are required to clinically optimize the chances for a complete clinical response of HG-SOC cases with higher CA-125 levels (>10 U/mL) at the end of primary treatment.

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.

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.

Serum concentrations of CA 125, CA 15-3, CA 19-9 and CEA in normal pregnancy: a longitudinal study

PURPOSE

Although cancer diagnosed during pregnancy is rare, the coexistence of pregnancy and malignancy becomes more common in view of prolongation of reproductive age. Therefore, it is important that the specificity of a tumor marker be evaluated during pregnancy to avoid misinterpretation in the follow-up of a pregnant cancer patient. The present study aims to investigate the serum concentrations of CA-125, CA 15-3, CA 19-9 and CEA in healthy pregnant women through gestation.

METHODS

In this prospective study, we followed thirty healthy pregnant women. Blood samples were obtained during each trimester of pregnancy (10-12, 22-24 and 34-36 weeks). The maternal serum levels of CA-125, CA 15-3, CA 19-9 and CEA were measured using electrochemiluminescence immunoassay.

RESULTS

There was no difference between the first and second trimester serum levels of CA 125, CEA and CA 19-9. However, serum CA 125 levels in third trimester were found to be significantly elevated in pregnants compared to the second trimester (median values 19.6 vs. 15.6 IU/mL, p = 0,009). Similarly, the serum CEA levels in third trimester were significantly higher than those of second trimester (median values 1.1 vs. 0.7 ng/ml, p = 0.001). It is also found that CEA and CA 19-9 assay values were significantly elevated in the third trimester of pregnancy when compared with the first trimester of pregnancy (CEA median values 1.1 vs. 0.7 ng/ml, p = 0.02 and CA 19-9 median values 11.6 vs. 7.7 IU/mL, p = 0,02). Three trimester had statistically similar levels for serum CA 15-3 (median values 17.5, 19.7 and 18.3 U/mL, respectively). The four tumor markers assay values were found generally within the normal range.

CONCLUSIONS

These findings suggest that maternal serum levels of CA 125, CEA and CA 19-9 were increased during third trimester of pregnancy. However, these elevations were within the normal range. CA 15-3 is independent of gestation and reliable tumor markers in monitoring malignancy in pregnant patients.

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.

Circulating biomarker tissue kallikrein-related peptidase KLK5 impacts ovarian cancer patients' survival

BACKGROUND

Effective cancer biomarkers for early detection, prognosis, or therapy response prediction are urgently needed in ovarian cancer. Kallikrein-related peptidases, including KLK5, have been reported to play an important role in the course of the disease.

PATIENTS AND METHODS

KLK5 antigen content was determined by enzyme-linked immunosorbent assay in ovarian cancer patients' [FIGO (International Federation of Gynecology and Obstetrics) stages I-IV, n = 52] serum as well as ascitic fluid and compared with KLK5 content in serum of patients with benign ovarian tumors (n = 45).

RESULTS

KLK5 antigen content was significantly elevated in the serum of ovarian cancer patients compared with the serum of patients with benign ovarian tumors. Forty-two of 52 ovarian cancer serum samples, 42 of 43 benign ovarian tumor serum samples, and all 41 ascitic fluid samples were KLK5 positive. Elevated KLK5 antigen in serum and ascitic fluid of ovarian cancer patients was a prognostic factor for progression-free survival.

CONCLUSIONS

Our data support the finding that ovarian cancer patients release significant amounts of KLK5 into serum and ascitic fluid but KLK5 antigen is low in serum of patients with benign ovarian tumors. Increased serum and ascitic fluid KLK5 levels are associated with poor patient outcome, thus underlining the importance of KLK5 as a biomarker for early detection as well as for disease management in ovarian cancer.

Longitudinal monitoring of CA125 levels provides additional information about survival in ovarian cancer

Background

We investigated the prognostic impact of changes in serum CA125 levels during the first 3 months of therapy in ovarian cancer.

Methods

A case series of 170 ovarian cancer patients treated at Cancer Treatment Centers of America. Based on CA125 levels at baseline and 3 months, patients were classified into 4 groups: 1) Normal (0-35 U/ml) at baseline and three months; 2) High (>35 U/ml) at baseline, normal at three months; 3) Normal at baseline, high at 3 months; 4) High at baseline and three months. Kaplan Meier method was used to calculate survival across the 4 categories.

Results

Of 170 patients, 36 were newly diagnosed while 134 had received prior treatment. 25 had stage I disease at diagnosis, 15 stage II, 106 stage III and 14 stage IV. The median age at presentation was 54.2 years (range 23.1 - 82.5 years). At baseline, 31 patients had normal (0-35 U/ml) serum CA125 levels while 139 had high (>35 U/ml) levels. At 3 months, 59 had normal while 111 had high levels. Patients with a reduced CA125 at 3 months had a significantly better survival than those with increased CA125 at 3 months. Patients with normal values of CA125 at both baseline and 3 months had the best overall survival.

Conclusions

These data show that reduction in CA125 after 3 months of therapy is associated with better overall survival in ovarian cancer. Patients without a significant decline in CA125 after 3 months of therapy have a particularly poor prognosis.

Glycoprotein analysis using protein microarrays and mass spectrometry

Protein glycosylation plays an important role in a multitude of biological processes such as cell-cell recognition, growth, differentiation, and cell death. It has been shown that specific glycosylation changes are key in disease progression and can have diagnostic value for a variety of disease types such as cancer and inflammation. The complexity of carbohydrate structures and their derivatives makes their study a real challenge. Improving the isolation, separation, and characterization of carbohydrates and their glycoproteins is a subject of increasing scientific interest. With the development of new stationary phases and molecules that have affinity properties for glycoproteins, the isolation and separation of these compounds have advanced significantly. In addition to detection with mass spectrometry, the microarray platform has become an essential tool to characterize glycan structure and to study glycosylation-related biological interactions, by using probes as a means to interrogate the spotted or captured glycosylated molecules on the arrays. Furthermore, the high-throughput and reproducible nature of microarray platforms have been highlighted by its extensive applications in the field of biomarker validation, where a large number of samples must be analyzed multiple times. This review covers a brief survey of the other experimental methodologies that are currently being developed and used to study glycosylation and emphasizes methodologies that involve the use of microarray platforms. This review describes recent advances in several options of microarray platforms used in glycoprotein analysis, including glycoprotein arrays, glycan arrays, lectin arrays, and antibody/lectin arrays. The translational use of these arrays in applications related to characterization of cells and biomarker discovery is also included.

Production and characterization of monoclonal antibodies against the extracellular domain of CA 125

Carcinoma antigen 125 (CA 125) is overexpressed in ovarian cancer and antibodies against it are widely employed for diagnostic purposes. The rarity of CA 125 antigenic domains and its highly glycosylated structure, however, is a problem that may prevent immunized mice from developing a diversified population of anti-CA 125 antibodies. In this study a prime-boost strategy, which potentially could augment the humoral immune responses against rare and poorly immunogenic determinants, was used for immunization of mice and monoclonal antibodies (mAbs) were produced by hybridoma technology. Reactivity of mAbs was then assessed by ELISA, western blotting, immunoprecipitation, immunohistochemistry and immunofluorescence staining of OVCAR-3 cell line. Altogether, 10 clones were produced, 3 of which had IgG isotype and the rest were IgM. Two-third of clones recognized cognate antigen in fixed and living cells and had strong immunoreactivity in IHC staining. In Western blotting, our antibodies recognized CA 125 as high molecular weight antigen mostly migrated in the 3% stacking gel. Immunoprecipitation of OVCAR-3 cell lysate by mAbs resulted in a very similar migration pattern that reconfirmed their specificities. The mAbs produced in this study are invaluable tools in diagnosis and research fields for assessment of CA 125 expression in cancerous ovarian tissues.

Comprehensive proteomic analysis of human endometrial fluid aspirate

The endometrial fluid is a noninvasive sample which contains numerous secreted proteins representative of endometrial function and reflects the state of the endometrium. In this study, we describe, for the first time, a comprehensive catalogue of proteins of the endometrial fluid during the secretory phase of the menstrual cycle. To achieve this objective, three different but complementary strategies were used: First, in-solution digestion followed by reverse phase high-performance liquid chromatography coupled with tandem mass spectrometry (HPLC-MS/MS); second, protein separation by denaturing one-dimensional electrophoresis (SDS-PAGE) followed by HPLC-MS/MS analysis. Finally, two-dimensional polyacrylamide gel electrophoresis (2D-PAGE) followed by MALDI-TOF/TOF analysis. The combination of the three strategies led to the successful identification of 803 different proteins in the International Protein Index (IPI) human database (v3.48). An extensive description of the endometrial fluid proteome will help provide the basis for a better understanding of a number of diseases and processes, including endometriosis, endometrial cancer and embryo implantation. We believe that the thorough catalogue of proteins presented here can serve as a valuable reference for the study of embryo implantation and for future biomarker discovery involved in pathologic alterations of endometrial function.

Safety, pharmacokinetics, and pharmacodynamics of AMG 102, a fully human hepatocyte growth factor-neutralizing monoclonal antibody, in a first-in-human study of patients with advanced solid tumors

PURPOSE

The aims were to assess the safety, pharmacokinetics, maximum tolerated dose, and antitumor activity of AMG 102, a fully human hepatocyte growth factor/scatter factor (HGF/SF)-neutralizing monoclonal antibody, in patients with solid tumors.

EXPERIMENTAL DESIGN

Patients (N = 40) with refractory advanced solid tumors were enrolled into six sequential dose-escalation cohorts (0.5, 1, 3, 5, 10, or 20 mg/kg AMG 102 i.v. every 2 weeks) and a dose-expansion cohort (20 mg/kg AMG 102 every 2 weeks). Safety, anti-AMG 102 antibody formation, pharmacokinetics, tumor response, and exploratory biomarkers were assessed.

RESULTS

AMG 102 was well tolerated up to the planned maximum dose of 20 mg/kg, and the maximum tolerated dose was not reached. Treatment-related adverse events were generally mild and included fatigue (13%), constipation (8%), nausea (8%), vomiting (5%), anorexia (5%), myalgia (5%), and hypertension (5%). Two patients experienced dose-limiting toxicities: one patient (0.5 mg/kg cohort) experienced grade 3 hypoxia and grade 3 dyspnea and one patient (1 mg/kg cohort) experienced grade 3 upper gastrointestinal hemorrhage. No anti-AMG 102 antibodies were detected, and AMG 102 had linear pharmacokinetics within the dose range investigated. Sixteen of 23 (70%) evaluable patients had a best response of stable disease with progression-free survival ranging from 7.9 to 40 weeks. Circulating levels of the biomarker HGF/SF (bound and unbound) increased in a dose-dependent manner, whereas soluble c-Met concentrations were generally similar across doses.

CONCLUSIONS

AMG 102 is safe and well tolerated, has a favorable pharmacokinetic profile, and will be further investigated as a monotherapy and in combination with other agents.

Role of CA125 in predicting ovarian cancer survival - a review of the epidemiological literature

CA125 is the gold standard tumor marker in ovarian cancer. Serum level of CA125 is used to monitor response to chemotherapy, relapse, and disease progression in ovarian cancer patients. Thus, it is reasonable to investigate whether CA125 may have utility as a prognostic indicator as well in ovarian cancer. A large number of epidemiological studies have been carried out to this effect. This review summarizes all available epidemiological literature on the association between CA125 levels and survival in ovarian cancer. To place these studies in context, we provide some background information on CA125 and its role in ovarian cancer.

Cancer, chemistry, and the cell: molecules that interact with the neurotensin receptors

The literature covering neurotensin (NT) and its signalling pathways, receptors, and biological profile is complicated by the fact that the discovery of three NT receptor subtypes has come to light only in recent years. Moreover, a lot of this literature explores NT in the context of the central nervous system and behavioral studies. However, there is now good evidence that the up-regulation of NT is intimately involved in cancer development and progression. This Review aims to summarize the isolation, cloning, localization, and binding properties of the accepted receptor subtypes (NTR1, NTR2, and NTR3) and the molecules known to bind at these receptors. The growing role these targets are playing in cancer research is also discussed. We hope this Review will provide a useful overview and a one-stop resource for new researchers engaged in this field at the chemistry-biology interface.

Afamin and apolipoprotein A-IV: novel protein markers for ovarian cancer

Comparative proteomics identified the vitamin E-binding plasma protein afamin as a potential novel tumor marker for ovarian cancer. In addition, we observed in a previous small study decreased plasma concentrations of apolipoprotein A-IV (apoA-IV) in preoperative patients with kidney cancer. The aim of this study was therefore to analyze afamin and apoA-IV in a large case-control study to evaluate the diagnostic utility of the two potential novel tumor markers in ovarian cancer patients. We measured plasma concentrations of afamin and apoA-IV by means of a specific sandwich-type ELISA using affinity-purified polyclonal and monoclonal antibodies in 181 ovarian cancer patients of various clinical stages, 399 patients with benign gynecologic diseases, including endometriosis, and 177 controls and compared results with those for the conventional ovarian cancer tumor marker cancer antigen 125 (CA125). Afamin concentrations decreased from a median of 70.7 mg/L (range, 34.6-116.1 mg/L) in healthy controls to 65.2 mg/L (range, 20.2-206.6 mg/L) in patients with benign gynecologic diseases to 56.0 mg/L (range, 4.7-96.0 mg/L) in ovarian cancer patients (P < 0.001 for all pairwise comparisons). Similar results were obtained with apoA-IV concentrations decreasing from 13.0 mg/dL (range, 5.5-34.0 mg/dL) in controls to 11.7 mg/dL (range, 2.0-32.3 mg/dL) in benign conditions to 9.4 mg/dL (range, 0.3-29.5 mg/dL) in ovarian cancer (all P < 0.001). Receiver operating characteristic analysis for differentiating ovarian cancer patients from healthy controls revealed for a specificity of 90% sensitivity values of 92.4%, 42.4%, and 40.8% for CA125, afamin, and apoA-IV, respectively. Afamin, but not apoA-IV, added independent diagnostic information to CA125 and age for differentiating ovarian cancer from benign and healthy samples; the odds ratio of ovarian cancer was reduced by 44% for each doubling of afamin (P = 0.032). The relatively low sensitivity, however, clearly indicates that afamin and apoA-IV alone are not sufficiently suitable as diagnostic markers for ovarian cancer. Afamin contributes, however, independent diagnostic information to CA125, thus establishing its potential as an adjunct marker to CA125.

Cancer antigen 125 levels in inflammatory bowel diseases

BACKGROUND

Cancer antigen 125 (CA-125) is a tumor marker used for the diagnosis and monitoring of ovarian carcinoma. It can also be elevated in endometriosis, inflammations, and in nongynecological malignancies. Up to date, serum CA-125 levels in inflammatory bowel diseases (IBD) have not been studied before.

AIM

To assess the levels of CA-125 in patients with ulcerative colitis (UC) and Crohn's disease (CD).

METHODS

Serum levels of CA-125 were investigated in 68 cases with UC (male/female: 47/21), 32 CD (male/female: 21/11), and 31 healthy controls (male/female: 16/15). Levels of CA-125 were also compared among UC patients according to lesion location, severity, and activity of CD.

RESULTS

Serum CA-125 levels were 17.29+/-24.50 U/ml, 15.56+/-20.74 U/ml, and 8.85+/-2.62 U/ml in patients with UC, CD, and healthy controls, respectively. Serum CA-125 levels were significantly higher in UC compared to control group (P=0.001). Serum CA-125 levels were higher in CD patients compared to control group but there was no significance (P=0.087). Serum CA-125 levels were higher in pancolitis compared to distal type and left-sided UC.

CONCLUSIONS

Our data suggest that serum CA-125 levels may be increased in patients with IBDs.

The ROC 'n' role of the multiplex assay for early detection of ovarian cancer

In order to overcome the significant mortality associated with ovarian cancer, a highly sensitive and specific screening test is urgently needed. CA125 is used to assess response to chemotherapy, detect recurrence, and distinguish malignant from benign disease; however, this marker is elevated in only 50-60% of stage I ovarian cancers, making it inadequate for early detection of malignancy. In this Practice Point, we discuss Visintin et al.'s attempt to validate a novel multiplex assay that uses a panel of six serum biomarkers -- leptin, prolactin, osteopontin, insulin-like growth factor II, macrophage inhibitory factor, and CA125. The study included 362 healthy controls and 156 patients with newly diagnosed ovarian cancer. The final model yielded 95.3% sensitivity, 99.4% specificity, a positive predictive value of 99.3% and a negative predictive value of 99.2%. These results indicate potential utility of this assay for early detection of ovarian cancer, although further validation is needed in a sample set representative of the general population.