Detection of ovarian cancer (± neo-adjuvant chemotherapy effects) via ATR-FTIR spectroscopy: comparative analysis of blood and urine biofluids in a large patient cohort.

Ovarian cancer remains the most lethal gynaecological malignancy, as its timely detection at early stages remains elusive. Attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy of biofluids has been previously applied in pilot studies for ovarian cancer diagnosis, with promising results. Herein, these initial findings were further investigated by application of ATR-FTIR spectroscopy in a large patient cohort. Spectra were obtained by measurements of blood plasma and serum, as well as urine, from 116 patients with ovarian cancer and 307 patients with benign gynaecological conditions. A preliminary chemometric analysis revealed significant spectral differences in ovarian cancer patients without previous chemotherapy (n = 71) and those who had received neo-adjuvant chemotherapy-NACT (n = 45), so these groups were compared separately with benign controls. Classification algorithms with blind predictive model validation demonstrated that serum was the best biofluid, achieving 76% sensitivity and 98% specificity for ovarian cancer detection, whereas urine exhibited poor performance. A drop in sensitivities for the NACT ovarian cancer group in plasma and serum indicates the potential of ATR-FTIR spectroscopy to identify chemotherapy-related spectral changes. Comparisons of regression coefficient plots for identification of biomarkers suggest that glycoproteins (such as CA125) are the main classifiers for ovarian cancer detection and responsible for smaller differences in spectra between NACT patients and benign controls. This study confirms the capacity of biofluids' ATR-FTIR spectroscopy (mainly blood serum) to diagnose ovarian cancer with high accuracy and demonstrates its potential in monitoring response to chemotherapy, which is reported for the first time. ATR-FTIR spectroscopy of blood serum achieves good segregation of ovarian cancers from benign controls, with attenuation of differences following neo-adjuvant chemotherapy.

Candidate RNA biomarkers in biofluids for early diagnosis of ovarian cancer: A systematic review.

Ovarian cancer is often diagnosed in an advanced stage and is associated with a high mortality rate. It is assumed that early detection of ovarian cancer could improve patient outcomes. Unfortunately, effective screening methods for early diagnosis of ovarian cancer are still lacking. Extracellular RNAs circulating in human biofluids can reliably be measured and are emerging as potential biomarkers in cancer. In this systematic review, we present 75 RNA biomarkers detectable in human biofluids that have been studied for early diagnosis of ovarian cancer. The majority of these markers are microRNAs identified using RT-qPCR or microarrays in blood-based fluids. A handful of studies used RNA-sequencing and explored alternative fluids, such as urine and ascites. Candidate RNA biomarkers that were more abundant in biofluids of ovarian cancer patients compared to controls in at least two independent studies include miR-21, the miR-200 family, miR-205, miR-10a and miR-346. Amongst the markers confirmed to be lower in at least two studies are miR-122, miR-193a, miR-223, miR-126 and miR-106b. While these biomarkers show promising diagnostic potential, further validation is required before implementation in routine clinical care. Challenges related to biomarker validation and reflections on future perspectives to accelerate progress in this field are discussed.

Expression of the miR-200 family in tumor tissue, plasma and urine of epithelial ovarian cancer patients in comparison to benign counterparts.

OBJECTIVE: Plasma, but also urine sample could represent a simple liquid biopsy for ovarian cancer biomarker detection. The miRNA-200 family has been shown to be dysregulated in ovarian cancer. The aim of this study was to isolate three members of miR-200 family from tumor tissue, plasma and urine of high-grade serous ovarian cancer patients in comparison with samples from patients with benign ovarian tumors. This is a methodological pilot study of a prospective ovarian cancer patient cohort investigating the potential of liquid biopsies and the role of miRNAs in ovarian cancer treatment. RESULTS: MiR-200a, miR-200b and miR-200c were isolated from samples of nine ovarian cancer patients and seven patients with benign ovarian tumor. The most significant finding is that all three miRNAs were detectable in all sample types. Tumor tissue and plasma, but not urine analysis was able to discriminate malignant and benign samples. A correlation between the miRNA-200 expression in urine and plasma was observed in malignant samples only. Plasma and urine with respect to miRNA detection show potential according to this study, but larger studies are needed to clarify the usefulness of these liquid biopsies in ovarian cancer. TRIAL REGISTRATION: ClinicalTrials.gov NCT02758652, May 2, 2016.

Discovery of potential serum and urine-based microRNA as minimally-invasive biomarkers for breast and gynecological cancer.

BACKGROUND: Deregulated microRNAs (miRNAs) in breast and gynecological cancer might contribute to improve early detection of female malignancies. OBJECTIVE: Specification of miRNA types in serum and urine as minimally-invasive biomarkers for breast (BC), endometrial (EC) and ovarian cancer (OC). METHODS: In a discovery phase, serum and urine samples from 17 BC, five EC and five OC patients vs. ten healthy controls (CTRL) were analyzed with Agilent human miRNA microarray chip. Selected miRNA types were further investigated by RT-qPCR in serum (31 BC, 13 EC, 15 OC patients, 32 CTRL) and urine (25 BC, 10 EC, 10 OC patients, 30 CTRL) applying two-sample t-tests. RESULTS: Several miRNA biomarker candidates exhibited diagnostic features due to distinctive expression levels (serum: 26; urine: 22). Among these, miR-518b, -4719 and -6757-3p were found specifically deregulated in BC serum. Four, non-entity-specific, novel biomarker candidates with unknown functional roles were identified in urine (miR-3973; -4426; -5089-5p and -6841). RT-qPCR identified miR-484/-23a (all p⩽ 0.001) in serum as potential diagnostic markers for EC and OC while miR-23a may also serve as an endogenous control in BC diagnosis. CONCLUSIONS: Promising miRNAs as liquid biopsy-based tools in the detection of BC, EC and OC qualified for external validation in larger cohorts.

An Improved Prediction Model for Ovarian Cancer Using Urinary Biomarkers and a Novel Validation Strategy.

This study was designed to analyze urinary proteins associated with ovarian cancer (OC) and investigate the potential urinary biomarker panel to predict malignancy in women with pelvic masses. We analyzed 23 biomarkers in urine samples obtained from 295 patients with pelvic masses scheduled for surgery. The concentration of urinary biomarkers was quantitatively assessed by the xMAP bead-based multiplexed immunoassay. To identify the performance of each biomarker in predicting cancer over benign tumors, we used a repeated leave-group-out cross-validation strategy. The prediction models using multimarkers were evaluated to develop a urinary ovarian cancer panel. After the exclusion of 12 borderline tumors, the urinary concentration of 17 biomarkers exhibited significant differences between 158 OCs and 125 benign tumors. Human epididymis protein 4 (HE4), vascular cell adhesion molecule (VCAM), and transthyretin (TTR) were the top three biomarkers representing a higher concentration in OC. HE4 demonstrated the highest performance in all samples withOC(mean area under the receiver operating characteristic curve (AUC) 0.822, 95% CI: 0.772-0.869), whereas TTR showed the highest efficacy in early-stage OC (AUC 0.789, 95% CI: 0.714-0.856). Overall, HE4 was the most informative biomarker, followed by creatinine, carcinoembryonic antigen (CEA), neural cell adhesion molecule (NCAM), and TTR using the least absolute shrinkage and selection operator (LASSO) regression models. A multimarker panel consisting of HE4, creatinine, CEA, and TTR presented the best performance with 93.7% sensitivity (SN) at 70.6% specificity (SP) to predict OC over the benign tumor. This panel performed well regardless of disease status and demonstrated an improved performance by including menopausal status. In conclusion, the urinary biomarker panel with HE4, creatinine, CEA, and TTR provided promising efficacy in predicting OC over benign tumors in women with pelvic masses. It was also a non-invasive and easily available diagnostic tool.

RMI and ROMA are equally effective in discriminating between benign and malignant gynecological tumors: A prospective population-based study.

INTRODUCTION: Our primary objective was to test the hypothesis that human epididymal protein 4 (HE4) and risk of ovarian malignancy index outperform the CA 125 and risk of malignancy index tests in categorizing a pelvic mass into high or low risk of malignancy in a Swedish population. Furthermore, cut-off values needed to be defined for HE4 and ROMA in premenopausal and postmenopausal women prior to their introduction to clinical practice. A third objective was to investigate the correlation between HE4 levels in serum and urine. MATERIAL AND METHODS: Women with a pelvic mass scheduled for surgery were recruited from nine hospitals in south-east Sweden. Preoperative blood samples were taken for analyzing CA125 and HE4 as well as urine samples for analyzing HE4. RESULTS: We enrolled a total of 901 women, of whom 784 were evaluable. In the premenopausal and postmenopausal groups, no significant differences were found for sensitivity, positive and negative predictive value, either for RMI vs ROMA or for CA125 vs HE4 using a fixed specificity of 75%. Cut-off values indicating malignancy were established for HE4 and ROMA in premenopausal and postmenopausal women. We found no correlation between HE4 concentration in serum and urine. CONCLUSIONS: We could not confirm that ROMA had diagnostic superiority over RMI in categorizing women with a pelvic mass into low-risk or high-risk groups for malignancy in a Swedish population. We have defined cut-off values for HE4 and ROMA. The lack of correlation between serum and urine HE4 obviates the introduction of urine HE4 analysis in clinical diagnostics.

FAIMS analysis of urine gaseous headspace is capable of differentiating ovarian cancer.

AIM: We hypothesized that field asymmetric waveform ion mobility spectrometry (FAIMS) as a novel artificial olfactory technology could differentiate urine of women with malignant ovarian tumors from controls and women with benign tumors, based on previous findings on the ability of canine olfactory system to "smell" cancer. PATIENTS AND METHODS: Preoperative urine samples from 51 women with ovarian tumors, both benign and malignant, and from 18 women with genital prolapse, as controls, were collected. The samples were analyzed by FAIMS device. Data analysis was processed by quadratic data analysis (QDA) and linear discriminant analysis (LDA), and cross-validated using 10-fold cross-validation. RESULTS: Thirty-three women had malignant ovarian tumors, of which 18 were high-grade cancers. FAIMS distinguished controls from malignancies with the accuracy of 81.3% (sensitivity 91.2% and specificity 63.1%), and benign tumors from malignancies with the accuracy of 77.3% (sensitivity 91.5% and specificity 51.4%). Moreover, low grade tumors were also separated from high grade cancers and benign ovarian tumors with accuracies of 88.7% (sensitivity 87.8% and specificity 89.6%) and 83.9% (sensitivity 73.1% and specificity 92.9%), respectively. CONCLUSIONS: This proof of concept-study indicates that the FAIMS from urine has potential to discriminate malignant ovarian tumors from no tumor-bearing controls and benign tumors.

Potential of mid-infrared spectroscopy as a non-invasive diagnostic test in urine for endometrial or ovarian cancer.

The current lack of an accurate, cost-effective and non-invasive test that would allow for screening and diagnosis of gynaecological carcinomas, such as endometrial and ovarian cancer, signals the necessity for alternative approaches. The potential of spectroscopic techniques in disease investigation and diagnosis has been previously demonstrated. Here, we used attenuated total reflection Fourier-transform infrared (ATR-FTIR) spectroscopy to analyse urine samples from women with endometrial (n = 10) and ovarian cancer (n = 10), as well as from healthy individuals (n = 10). After applying multivariate analysis and classification algorithms, biomarkers of disease were pointed out and high levels of accuracy were achieved for both endometrial (95% sensitivity, 100% specificity; accuracy: 95%) and ovarian cancer (100% sensitivity, 96.3% specificity; accuracy 100%). The efficacy of this approach, in combination with the non-invasive method for urine collection, suggest a potential diagnostic tool for endometrial and ovarian cancers.

Discovery and Validation of Novel Protein Biomarkers in Ovarian Cancer Patient Urine.

PURPOSE: For the vast majority of ovarian cancer patients, optimal surgical debulking remains a key prognostic factor associated with improved survival. A standardized, biomarker-based test, to preoperatively discriminate benign from malignant disease and inform appropriate patient triage, is highly desirable. However, no fit-for-purpose biomarkers have yet been identified. EXPERIMENTAL DESIGN: We conducted a pilot study consisting of 40 patient urine samples (20 from each group), using label-free quantitative (LFQ) mass spectrometry, to identify potential biomarker candidates in urine from individual ovarian cancer patients. To validate these changes, we used parallel reaction monitoring (PRM) to investigate their abundance in an independent validation cohort (n = 20) of patient urine samples. RESULTS: LFQ analyses identified 4394 proteins (17 027 peptides) in a discovery set of 20 urine samples. Twenty-three proteins were significantly elevated in the malignant patient group compared to patients with benign disease. Several proteins, including LYPD1, LYVE1, PTMA, and SCGB1A1 were confirmed to be enriched in the urine of ovarian cancer patients using PRM. We also identified the established ovarian cancer biomarkers WFDC2 (HE4) and mesothelin (MSLN), validating our approach. CONCLUSIONS AND CLINICAL RELEVANCE: This is the first application of a LFQ-PRM workflow to identify and validate ovarian cancer-specific biomarkers in patient urine samples.

A method for extracting and characterizing RNA from urine: For downstream PCR and RNAseq analysis.

Readily accessible samples such as urine or blood are seemingly ideal for differentiating and stratifying patients; however, it has proven a daunting task to identify reliable biomarkers in such samples. Noncoding RNA holds great promise as a source of biomarkers distinguishing physiologic wellbeing or illness. Current methods to isolate and characterize RNA molecules in urine are limited. In this proof of concept study, we present a method to extract and identify small noncoding RNAs in urine. Initially, quantitative reverse transcription PCR was applied to confirm the presence of microRNAs in total RNA extracted from urine. Once the presence of micro RNA in urine was confirmed, we developed a method to scale up RNA extraction to provide adequate amounts of RNA for next generation sequence analysis. The method described in this study is applicable to detecting a broad range of small noncoding RNAs in urine; thus, they have wide applicability for health and disease analyses.

Diagnostic value of plasma NGAL and intraoperative diuresis for AKI after major gynecological surgery in patients treated within an intraoperative goal-directed hemodynamic algorithm: A substudy of a randomized controlled trial.

Data on early markers for acute kidney injury (AKI) after noncardiovascular surgery are still limited. This study aimed to determine the diagnostic value of plasma neutrophil-gelatinase-associated lipocalin (pNGAL) and intraoperative diuresis for AKI in patients undergoing major abdominal surgery treated within a goal-directed hemodynamic algorithm.This study is a post-hoc analysis of a randomized controlled pilot trial comparing intravenous solutions within a hemodynamic goal-directed algorithm based on the esophageal Doppler in patients undergoing epithelial ovarian cancer surgery. The diagnostic value of plasma NGAL obtained at ICU admission and intraoperative diuresis was determined with respect to patients already meeting AKI criteria 6 hours after surgery (AKI6h) and to all patients meeting AKI criteria at least once during the postoperative course (AKItotal). AKI was diagnosed by the definition of the Kidney Disease Improving Global Outcome (KDIGO) group creatinine criteria and was screened up to postoperative day 3. Receiver operating characteristic curves including a gray zone approach were performed.A total of 48 patients were analyzed. None of the patients had increased creatinine levels before surgery and 14 patients (29.2%) developed AKI after surgery. Plasma NGAL was predictive for AKI6h (AUCAKI6h 0.832 (95% confidence interval [CI], 0.629-0.976), P = .001) and AKItotal (AUCAKItotal 0.710 (CI 0.511-0.878), P = .023). The gray zones of pNGAL calculated for AKI6h and AKItotal were 210 to 245 and 207 to 274 ng mL, respectively. The lower cutoffs of the gray zone at 207 and 210 ng mL had a negative predictive value (NPV) (i.e., no AKI during the postoperative course) of 96.8% (CI 90-100) and 87.1% (CI 78-97), respectively. Intraoperative diuresis was also predictive for AKI6h (AUCAKI6h 0.742 (CI 0.581-0.871), P = .019) with a gray zone of 0.5 to 2.0 mL kg h. At the lower cutoff of the gray zone at 0.5 mL kg h, corresponding to the oliguric threshold, the NPV was 84.2% (78-92).This study indicates that pNGAL can be used as an early marker to rule out AKI occurring within 3 days after major abdominal surgery. Intraoperative diuresis can be used to rule out AKI occurring up to 6 hours after surgery. TRIAL REGISTRATION: ISRCTN 53154834.

Urinary Polyamines as Biomarkers for Ovarian Cancer.

OBJECTIVES: Elevated concentrations of polyamines have been found in urine of patients with malignant tumors, including ovarian cancer. Previous research has suffered from poorly standardized detection methods. Our liquid chromatography-tandem mass spectrometry (LC-MS/MS) method is capable of simultaneous standardized analysis of most known polyamines. Liquid chromatography-tandem mass spectrometry has not previously been used in the differential diagnostics of ovarian tumors in postmenopausal women. MATERIALS AND METHODS: In this prospective study, postmenopausal women (n = 71) presenting with an adnexal mass and, as controls, women with genital prolapse or urinary incontinence scheduled for surgery (n = 22) were recruited in the study. For analysis of the polyamines, a morning urine sample was obtained before surgery. Preoperative serum CA125 concentrations were determined in the study group. RESULTS: Twenty-three women with benign and 37 with malignant ovarian tumors were eligible. Of all analyzed polyamines, only urinary N,N-diacetylspermine showed statistically significant differences between all groups except controls versus benign tumors. N,N-diacetylspermine was elevated in malignant versus benign tumors (P < 0.001), in high-grade versus low malignant potential tumors (P < 0.001), in stage III to IV versus stage I to II cancers (P < 0.001), and even in early-stage cancer (stage I-II) versus benign tumors (P = 0.017). N,N-diacetylspermine had better sensitivity (86.5%) but lower specificity (65.2%) for distinguishing benign and malignant ovarian tumors than CA125 with a cut-off value of 35 kU/L (sensitivity, 75.7%; specificity, 69.6%). CONCLUSIONS: Urinary N,N-diacetylspermine seems to be able to distinguish benign and malignant ovarian tumors as well as early and advanced stage, and low malignant potential and high-grade ovarian cancers from each other, respectively.

Diagnostic relevance of urinary steroid profiles on ovarian granulosa cell tumors: two case reports.

BACKGROUND: Granulosa cell tumor of the ovary is the most frequent sex cord stromal tumor and represents 2 to 5% of all primary ovarian cancers. Ovarian granulosa cell tumor is a malignant tumor with slow progression and in some cases this tumor is hormonally active. The recurrence of granulosa cell tumor often happens after 5 years. CASE PRESENTATION: We describe two cases of postmenopausal women with adult-type granulosa cell tumors of the ovary. Patient 1 is a 49-year-old European woman with a recurrent tumor; patient 2 is a 55-year-old European woman without recurrence of tumor. Urinary steroid profiles of patient 1 were monitored during a 5-year period starting from before an operation (13 samples). In patient 2, the urinary steroid profiles were monitored during a 3-year period starting from after an operation (six samples). The 24-hour urinary samples were examined and the urinary concentration of 20 androgen, progesterone, and corticoid metabolites was quantitatively determined by gas chromatography-mass spectrometry with selected ion-monitoring mode. CONCLUSIONS: Based on these cases a correlation could be observed between increased levels of the urinary steroids and the recurrence of ovarian granulosa cell tumor; therefore, we concluded that a urinary steroid profile could be a more effective method to follow-up such patients compared to the traditional serum hormones determinations supplemented with conventional tumor markers.

Beyond circulating microRNA biomarkers: Urinary microRNAs in ovarian and breast cancer.

Breast cancer is the most common malignancy in women worldwide, and ovarian cancer is the most lethal gynecological malignancy. Women carrying a BRCA1/2 mutation have a very high lifetime risk of developing breast and ovarian cancer. The only effective risk-reducing strategy in BRCA-mutated women is a prophylactic surgery with bilateral mastectomy and bilateral salpingo-oophorectomy. However, many women are reluctant to undergo these prophylactic surgeries due to a consequent mutilated body perception, unfulfilled family planning, and precocious menopause. In these patients, an effective screening strategy is available only for breast cancer, but it only consists in close radiological exams with a significant burden for the health system and a significant distress to the patients. No biomarkers have been shown to effectively detect breast and ovarian cancer at an early stage. MicroRNAs (miRNAs) are key regulatory molecules operating in a post-transcriptional regulation of gene expression. Aberrant expression of miRNAs has been documented in several pathological conditions, including solid tumors, suggesting their involvement in tumorigenesis. miRNAs can be detected in blood and urine and could be used as biomarkers in solid tumors. Encouraging results are emerging in gynecological malignancy as well, and suggest a different pattern of expression of miRNAs in biological fluids of breast and ovarian cancer patients as compared to healthy control. Aim of this study is to highlight the role of the urinary miRNAs which are specifically associated with cancer and to investigate their role in early diagnosis and in determining the prognosis in breast and ovarian cancer.

Cell-Free Urinary MicroRNAs Expression in Small-Scale Experiments.

Cell-free microRNAs (miRNAs) have become one of the novel promising diagnostic and prognostic biomarkers for various diseases recently. Blood serum and plasma along with urine are the most common sources of clinically well, almost noninvasively available samples containing various types of miRNAs. Here, we present a protocol for a small-scale study investigating expression of several candidate miRNAs. Small-scale experiments may be worth investigating in cases where no information is available on miRNAs expression in particular diseases, for validation of previously published miRNAs with promising diagnostic potential, particularly in situations where follow-up study is aimed at validating miRNAs coming from array or NGS experiments, or where funding for these large-scale experiments is not available.Using urine miRNAs expression as the novel diagnostic tools is challenging and currently this approach is still in its infancy. Therefore, various methods may result in different conclusions depending on clinical sample sets and differences among methods used for the miRNAs isolation and quantitation. In this protocol, we present the method evaluated in the study focused on cell-free urinary miRNAs in ovarian and endometrial cancers. We recommend using stabilization tubes for the urine collection, as this step may be necessary to stop activity of RNases. Further, routine real-time PCR methods are described. We demonstrate that assessment of urinary miRNAs expression may reveal as a feasible method to explore the potential for finding novel diagnostic and prognostic markers.

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

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

Diagnostic accuracy of urine HE4 in patients with ovarian cancer: a meta-analysis.

Urine HE4 has been reported as the potential novel diagnostic biomarker for ovarian cancer in several studies, but their results were inconsistent. Therefore, we conducted a systematic analysis to evaluate the diagnostic value of urine HE4 in detecting ovarian cancer. A comprehensive electronic and manual search was conducted for relevant literatures through several databases up to May 5, 2016. The quality of the studies included in the systematic review was assessed using the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. All analyses were conducted using Meta-DiSc 1.4 and STATA 12.0 software. A total of seven publications were included in this study, and these studies included 413 ovarian cancer patients and 573 controls. The summary estimates were: sensitivity 0.76 (95% confidence interval [CI]: 0.72-0.80), specificity 0.92 (95% CI: 0.89-0.94), positive likelihood ratio 8.39 (95%CI: 4.81-14.63), negative likelihood ratio 0.23 (95% CI: 0.13-0.39), diagnostic odds ratio 37.90 (95% CI: 18.69-76.83), and area under the curve 0.93. According to our results, urine HE4 has greater diagnostic value in detecting ovarian cancer. In addition, considering the high heterogeneity, further research studies with more well-designed and large sample sizes are needed in the future.

Long-term significance of urinary neopterin in ovarian cancer: a study by the Austrian Association for Gynecologic Oncology (AGO).

BACKGROUND: Neopterin is produced by activated macrophages upon stimulation with interferon-γ (IFN-γ) and thus, elevated neopterin concentrations in patients indicate cellular inate immune response. Most studies in patients with malignant diseases found an association between higher neopterin concentrations and reduced survival and impaired prognosis. Nevertheless, neopterin is not a classical tumor marker since it is not produced by the cancer cells themselves. PATIENTS AND METHODS: In a study conducted by the Austrian Gynecologic Oncology Group (AGO) in 114 patients with ovarian cystadenomas and 223 patients with invasive ovarian cancer, patients' urinary neopterin was determined before and after primary therapy. The relevance of neopterin in long-term median follow-up was assessed. RESULTS: Elevated levels (cut-off 250 µmol/mol creatinine) were found less frequently in women with benign ovarian cystadenomas (24%) than in patients with malignant disease (58%). After 10 years, only 57% of ovarian cancer patients with elevated urinary neopterin levels survived without disease progression following primary therapy when compared with 86% of women with normal levels (P < 0.001). Along with residual tumor, FIGO stage, age and histological type, neopterin was significantly associated with overall survival (OS) and progression-free survival (PFS). The median PFS was 52 and 12 months and the median OS was 81 and 24 months for patients with normal and elevated neopterin, respectively, P < 0.001. In a multivariate Cox regression analysis, only residual tumor, neopterin and age were independently associated with OS, while only residual tumor was predictive for PFS. Thirty patients with early-stage invasive ovarian cancer (FIGO I and II) were analyzed separately. Of 3 patients with elevated neopterin, 2 died of disease in contrast to 2 out of 27 patients with normal neopterin (P = 0.004). CONCLUSION: In ovarian cancer, the negative impact of elevated urinary neopterin levels indicates a detrimental effect of cancer-associated inflammatory reaction.

Application of SELDI-TOF in N-glycopeptides profiling of the urine from patients with endometrial, ovarian and cervical cancer.

PURPOSE: Endometrial (ECa), ovarian (OCa) and cervical (CCa) cancers are among 10 of the most common cancers affecting women worldwide. Cancers are known to cause some proteins to be differentially glycosylated or aberrantly excreted in the urine, which can be used as biomarkers. Since ECa, OCa and CCa are difficult to diagnose at the early stage, the aim of the present study was to identify a panel of new biomarkers for early detection of the cancers using surface-enhanced laser desorption/ionization-time-of-flight (SELDI-TOF) technology. Identification of early biomarkers that are specific and efficient can increase the survival rate of the patients. EXPERIMENTAL DESIGN: Digested urinary proteins from patients with ECa, OCa and CCa were incubated on the champedak mannose-binding (CMB) lectin-immobilized PS10 chip. The lectin-captured glycopeptides were detected with SELDI-TOF mass spectrometry and followed by biomarker wizard analysis. RESULTS: Peaks m/z 1201 and 1449 were detected as potential group discriminators. The peak m/z 1201 could distinguish OCa from CCa and ECa and its sensitivity and specificity were 100%. For m/z 1449, it was able to differentiate ECa from the other two types of cancer. CONCLUSIONS: The findings of this study suggest urinary glycopeptides m/z 1201 and 1449 may serve as potential biomarkers for the early detection of ECa, OCa and CCa, although this requires further extensive validation on clinically representative populations.

Supernatant versus exosomal urinary microRNAs. Two fractions with different outcomes in gynaecological cancers.

MicroRNAs (miRNAs) are key regulatory molecules implicated in fundamental cell processes. Recent investigations have been focused to investigate their diagnostic potential also in various body fluids. Plasma and serum are widely used for these purposes. Urinary miRNAs, as the easily available type of sample, have been explored particularly in urological diseases recently. However, we have shown previously that differential expression of urinary cell-free miRNAs may be observed also in gynaecological cancers, such as ovarian and endometrial cancers. In the present article, we focus on the differences in particular urine cell-free miRNA abundance among different samples including particularly ovarian and endometrial cancers and rare gynaecological diagnoses involved in the study. Using raw abundance miRNA expression data, we confirmed significant up-regulation of miR-92a in ovarian cancer, and significant down-regulation of miR-106b in endometrial cancers. As miR-21 appeared up-regulated in the endometrial cancer similarly as in the verification process, where also miR-106b resulted in significant down-regulation in ovarian cancer, these miRNAs may be good candidates for further evaluation as novel diagnostics. To find out why supernatant but not exosomal urine miRNAs fraction resulted in significant results in regards to de-regulation of expression, we performed a comparison of the same urine samples isolated by these two manners. We show that diagnostic potential of cell-free urinary miRNAs may depend on the urine fraction used for the isolation. While particular urinary miRNAs may be enriched, other may reveal unchanged or diminished expression in the exosomal fraction in comparison with supernatant fraction, giving differences also between cancer and control samples. More research will be needed to further explore which kind of cell-free samples would give better results for diagnostic purposes in various diagnoses using urinary samples and investigating cell-free miRNAs expression. Meanwhile, different urine fractions should be explored for their miRNA expression to establish novel diagnostic urinary miRNA markers.