Diagnosing and staging epithelial ovarian cancer by serum glycoproteomic profiling.

BACKGROUND: There is a need for diagnostic tests for screening, triaging and staging of epithelial ovarian cancer (EOC). Glycoproteomics of blood samples has shown promise for biomarker discovery. METHODS: We applied glycoproteomics to serum of people with EOC or benign pelvic masses and healthy controls. A total of 653 analytes were quantified and assessed in multivariable models, which were tested in an independent cohort. Additionally, we analyzed glycosylation patterns in serum markers and in tissues. RESULTS: We identified a biomarker panel that distinguished benign lesions from EOC with sensitivity and specificity of 83.5% and 90.1% in the training set, and of 86.7 and 86.7% in the test set, respectively. ROC analysis demonstrated strong performance across a range of cutoffs. Fucosylated multi-antennary glycopeptide markers were higher in late-stage than in early-stage EOC. A comparable pattern was found in late-stage EOC tissues. CONCLUSIONS: Blood glycopeptide biomarkers have the potential to distinguish benign from malignant pelvic masses, and early- from late-stage EOC. Glycosylation of circulating and tumor tissue proteins may be related. This study supports the hypothesis that blood glycoproteomic profiling can be used for EOC diagnosis and staging and it warrants further clinical evaluation.

Evaluating nutrition in advanced ovarian cancer: which biomarker works best?

BACKGROUND: Advanced epithelial ovarian cancer (OC) patients often present with malnutrition; however, the ideal nutritional evaluation tool is unclear. We aimed to evaluate the role of preoperative albumin, Prognostic Nutritional Index [PNI], neutrophil-to-lymphocyte ratio [NLR], and platelet-to-lymphocyte ratio [PLR] as independent predictors of severe postoperative complications and 90-day mortality in OC patients who underwent primary cytoreductive surgery to identify the ideal tool. METHODS: OC patients who underwent surgery at Mayo Clinic (2003-2018) were included; biomarkers were retrospectively retrieved and established cut-offs were utilized. Outcomes included severe complications (Accordion grade ≥ 3) and 90-day mortality. Univariate and multivariable logistic regression models were performed. Biomarkers were evaluated in separate models adjusted for age and American Society of Anesthesiologists (ASA) score for 90-day mortality, and adjusted for age, ASA score, stage, and surgical complexity for severe complications. RESULTS: Albumin <3.5 g/dL, PNI < 45, NLR > 6 and PLR ≥ 200 were univariately associated with 90-day mortality (all p < 0.05) in 627 patients that met inclusion criteria. Each marker remained significant in adjusted models with albumin having the highest OR: 6.04 [95% CI:2.80-13.03] and AUC (0.83). Univariately, PNI <45, NLR >6, and PLR ≥200 were significant predictors of severe complications(all p < 0.05), however failed to reach significance in adjusted models. Albumin was not associated with severe complications. CONCLUSION: All biomarkers were associated with 90-day mortality in adjusted models, with albumin being the easiest predictor to attain clinically; none with severe complications. Future research should focus less on methods of nutritional assessment and more on strategies to improve nutrition during OC tumor-directed therapy.

The effect of tinzaparin on biomarkers in FIGO stages III-IV ovarian cancer patients undergoing neoadjuvant chemotherapy - the TABANETOC trial: study protocol for a randomized clinical multicenter trial.

BACKGROUND: Tinzaparin, a low-molecular weight heparin (LMWH), has shown anti-neoplastic properties in animal models and in in vitro studies of human cancer cell lines. The reduction of CA-125 levels during neoadjuvant chemotherapy (NACT) in patients with epithelial ovarian cancer (EOC) co-varies with the prognosis; the larger the decrease in CA-125, the better the prognosis. PURPOSE: This study aims to evaluate the potential anti-neoplastic effects of tinzaparin by investigating changes in serum CA-125 levels in advanced EOC patients who receive NACT. MATERIAL AND METHODS: This is an open randomized multicenter pilot trial. Forty patients with EOC selected to receive NACT will be randomized 1:1 to receive daily addition of tinzaparin or no tinzaparin. The processing and treatment of the patients will otherwise follow the recommendations in the Swedish National Guidelines for Ovarian Cancer. Before every cycle of chemotherapy, preoperatively, and 3 weeks after the last cycle of chemotherapy, a panel of biomarkers, including CA-125, will be measured. PATIENTS: Inclusion criteria are women aged 18 years or older, World Health Organization performance status 0-1, histologically confirmed high-grade serous, endometrioid or clear cell EOC, International Federation of Gynecology and Obstetrics (FIGO) stages III-IV. In addition, a CA-125 level of ≥ 250 kIE/L at diagnosis. Exclusion criteria are contraindications to LMWH, ongoing or recent treatment with unfractionated heparin, LMWH, warfarin or non-vitamin K antagonist oral anticoagulants. INTERPRETATION: This study will make an important contribution to the knowledge of the anti-neoplastic effects of tinzaparin in EOC patients and may thus guide the planning of a future study on the impact of tinzaparin on survival in EOC.

Circulating tumor DNA as a biomarker for predicting progression-free survival and overall survival in patients with epithelial ovarian cancer: a systematic review and meta-analysis.

OBJECTIVES: Circulating tumor DNA (ctDNA) is emerging as a potential prognostic biomarker in multiple tumor types. However, despite the many studies available on small series of patients with ovarian cancer, a recent systematic review and meta-analysis is lacking. The objective of this study was to determine the association of ctDNA with progression-free-survival and overall survival in patients with epithelial ovarian cancer. METHODS: An electronic search was conducted using PubMed (MEDLINE), Embase, CENTRAL (Cochrane Library), and CINAHL-Complete from January 2000 to September 15, 2023. To be included in the analysis the studies had to meet the following pre-specified inclusion criteria: (1) evaluable ctDNA; (2) progression-free-survival and overall survival reported as hazard ratio (HR); and (3) the patient population had epithelial ovarian cancer at the time of ctDNA detection. We evaluated the association of ctDNA with progression-free survival and overall survival. Secondary outcomes focused on sub-group analysis of genomic alterations and international Federation of Gynecology and Obstetrics (FIGO) stage. RESULTS: A total of 26 studies reporting on 1696 patients with epithelial ovarian cancer were included. The overall concordance rate between plasma-based and tissue-based analyses was approximately 62%. We found that a high level of ctDNA in epithelial ovarian cancer was associated with worse progression-free survival (HR 5.31, 95% CI 2.14 to 13.17, p<0.001) and overall survival (HR 2.98, 95% CI 1.86 to 4.76, p<0.0001). The sub-group analysis showed a greater than threefold increase in the risk of relapse in patients with positive HOXA9 meth-ctDNA (HR 3.84, 95% CI 1.57 to 9.41, p=0.003). CONCLUSIONS: ctDNA was significantly associated with worse progression-free survival and overall survival in patients with epithelial ovarian cancer. Further prospective studies are needed. PROSPERO REGISTRATION NUMBER: CRD42023469390.

Correlation between plasma PSGL-1 and FIGO stage, tumor metastasis, and survival in epithelial ovarian cancer.

Plasma circulating P-selectin glycoprotein ligand-1 (PSGL-1) levels and its clinical correlation in patients with epithelial ovarian cancer (EOC) are unknown. The study determined plasma PSGL-1 levels in EOC patients and investigated its relationship with clinicopathological factors and prognosis. Plasma PSGL-1 levels were measured using ELISA in 69 patients with EOC, 34 patients with benign ovarian cystadenoma, and 36 healthy controls. Subsequently, the relationship between PSGL-1 levels and clinicopathological characteristics of patients, as well as the prognosis of EOC patients, was examined. Additionally, the specificity and sensitivity of plasma PSGL-1 were assessed through ROC curve analysis. Plasma PSGL-1 was upregulated in EOC patients compared with healthy subjects and/or patients with benign ovarian cystadenoma (p < 0.01). Elevated levels of PSGL-1 in the plasma were positively associated with advanced FIGO stage (p < 0.001), tumor size (p = 0.001), tumor metastasis (p = 0.036), and tumor recurrence (p = 0.013), while was negatively correlated with residual tumor size (p < 0.001). Kaplan-Meier survival analysis showed that high plasma PSGL-1 levels were associated with progression-free survival (p = 0.0345). In univariate and multivariate Cox regression analyses, PSGL-1 (HR = 1.456, p = 0.009) was an independent prognostic marker. Plasma PSGL-1 levels distinguished EOC patients and healthy individuals (AUC = 0.905), patients at late and early FIGO stages (AUC = 0.886), and metastatic and non-metastatic EOC (AUC = 0.722). The expression of plasma PSGL-1 is significantly increased in patients with EOC, serving as a reliable biomarker to differentiate between healthy individuals and those with EOC. Furthermore, PSGL-1 in patients is correlated with prognostic indicators, such as advanced FIGO stage, tumor lymph node metastasis, and progression-free survival.

Comparison of serum Vascular Cell Adhesion Molecule (VCAM) level among epithelial ovarian cancer patients and healthy women.

Objectives: To compare serum vascular cell adhesion molecule levels among ovarian cancer patients of different standardised grades, and in relation to healthy controls. METHODS: The case-control study was conducted from 6.2.2018 to 1.8.2021 after approval form the ethics review board of the University of Health Sciences, Lahore, Pakistan, and comprised females aged 20-70 years diagnosed with ovarian cancer and tentatively planned for surgical procedures in group A, and healthy controls in group B. From all the subjects, 2.5ml blood was taken in a green-top tube. The tubes were centrifuged, and the serum was separated within an hour of sample collection. The Eppendorf tubes were labelled and stored at -20°C. The samples were thawed, and, following the manual protocol, they were subjected to vascular cell adhesion molecule enzyme-linked immunosorbent assay. Cancer antigen 125 values before surgery and 6-8 months post-surgery were recorded from available laboratory reports. Also, group A was categorised in line with the International Federation of Gynaecology and Obstetrics stage classification. Data was analysed using SPSS 24. RESULTS: Of the 80 female subjects, 40(50%) were group A cases and 40(50%) were group B controls. The overall mean age was 48±12 years. Overall, 55(68.7%) women were aged <55 years and 25(31.3%) were aged >55 years. Within group A, 20(50%) had cancer stage I-II and 20(50%) had stage III-IV. Overall median vascular cell adhesion molecule was 72.40ug/L (interquartile range: 1857.40ug/L), with 71.15ug/L (interquartile range: 616.60ug/L) in group A and 74.10ug/L (interquartile range: 1848.70ug/L) in group B. Significant correlation was found between cancer stage and vascular cell adhesion molecule level (rho=0.73; p=0.003). CONCLUSIONS: There was a decreased level of vascular cell adhesion molecule level in epithelial ovarian cancer cases compared to healthy controls. A positive association was observed between ovarian cancer stage and vascular cell adhesion molecule level.

Analysis of serum HE4 levels in various histologic subtypes of epithelial ovarian cancer and other malignant tumors.

BACKGROUND: The measurement of serum HE4 levels has emerged as a sensitive and specific biomarker for epithelial ovarian cancers (EOCs). However, serum levels in women diagnosed with various histologic subtypes of EOC and in women with metastatic non-ovarian primary malignancies have not been widely reported. OBJECTIVE: The goal of this study was to identify how serum HE4 levels vary in women diagnosed with different histologic subtypes of EOC and non-ovarian malignancies. METHODS: Data from six prospective pelvic mass clinical trials was combined and an evaluation of serum HE4 levels in women diagnosed with a malignancy was performed. For all patients, serum was obtained prior to surgery and final pathology, including primary tumor site, histologic subtype, grade and stage, were recorded. The mean, median, standard deviation, maximum, and minimum HE4 levels were determined for each group. RESULTS: A total of 984 patients were included in this study, with the average patient age being 60 years old. There were 230 premenopausal and 754 postmenopausal patients. Serum HE4 levels were elevated (≥70.0 pMol) in 85%of EOCs, 40%of LMP tumors, 21%of non-EOCs (germ cell tumors), 25%of cervical cancers, and 47%of non-gynecologic metastatic cancers. Analysis of histologic subtypes revealed 90%(n = 391) of serous, 85%(n = 73) of endometrioid, 45%(n = 42) of mucinous, 86%(n = 51) of mixed tumors, and 69%(n = 36) of clear cell tumors had elevated serum HE4 levels. CONCLUSIONS: Serum HE4 levels are most often elevated in women with high grade serous and endometrioid EOCs, and though serum elevations are seen more often with advanced stage disease, HE4 is also often elevated in early stage disease and lower grade tumors.

Biomarker-based early detection of epithelial ovarian cancer based on a five-protein signature in patient's plasma - a prospective trial.

BACKGROUND: Trial on five plasma biomarkers (CA125, HE4, OPN, leptin, prolactin) and their possible role in differentiating benign from malignant ovarian tumors. METHODS: In this unicentric prospective trial preoperative blood samples of 43 women with ovarian masses determined for ovarian surgery were analyzed. 25 patients had pathologically confirmed benign, 18 malignant ovarian tumors. Blood plasma was analyzed for CA125, HE4, OPN, leptin, prolactin and MIF by multiplex immunoassay analysis. Each single protein and a logistical regression model including all the listed proteins were tested as preoperative predictive marker for suspect ovarian masses. RESULTS: Plasma CA125 was confirmed as a highly accurate tumor marker in ovarian cancer. HE4, OPN, leptin and prolactin plasma levels differed significantly between benign and malignant ovarian masses. With a logistical regression model a formula including CA125, HE4, OPN, leptin and prolactin was developed to predict malignant ovarian tumors. With a discriminatory AUC of 0.96 it showed to be a highly sensitive and specific diagnostic test for a malignant ovarian tumor. CONCLUSIONS: The calculated formula with the combination of CA125, HE4, OPN, leptin and prolactin plasma levels surpasses each single marker in its diagnostic value to discriminate between benign and malignant ovarian tumors. The formula, applied to our patient population was highly accurate but should be validated in a larger cohort. TRIAL REGISTRATION: Clinical Trials.gov under NCT01763125 , registered Jan. 8, 2013.

Clinical characteristics and prognosis of ovarian clear cell carcinoma: a 10-year retrospective study.

BACKGROUND: Ovarian clear cell carcinoma (OCCC) is a special pathological type of epithelial ovarian carcinoma (EOC). We conducted this research to investigate the clinical characteristics and outcomes of OCCC and to provide additional supporting evidence to aid in the clinical diagnosis and management. METHODS: This was a retrospective study investigating the clinical characteristics and survival outcomes of 86 patients with OCCC treated at our center between January 2010 and March 2020. Survival analysis was also performed on 179 patients with OCCC obtained from the Surveillance, Epidemiology and End Results (SEER) cancer registry database. RESULTS: The median age of participants was 49.21 ± 9.91 years old, and 74.42% of them were diagnosed at early stage. The median CA125 level was 601.48 IU/mL, while 19.77% of the patients had normal CA125 levels. Sixteen patients (18.60%) had co-existing endometriosis and 8 patients (9.3%) developed venous thromboembolism (VTE). There were 5 patients received suboptimal cytoreduction. Sixty-six patients (76.74%) underwent lymphadenectomy, and only 3 (4.55%) patients had positive lymph nodes. Patients diagnosed at an early stage had higher 3-year overall survival (OS) and progression-free survival (PFS) rates than those with advanced stage OCCC. CA19-9 (P = 0.025) and ascites (P = 0.001) were significantly associated with OS, while HE4 (P = 0.027) and ascites (P = 0.001) were significantly associated with PFS. Analysis of data from the SEER database showed that positive lymph nodes is also an independent prognostic factor for OS (P = 0.001). CONCLUSIONS: OCCC often presents at an early stage and young age with a mildly elevated CA125. CA19-9, HE4, massive ascites, and positive lymph node are independent prognostic factors.

Epithelial ovarian cancer and the use of circulating tumor DNA: A systematic review.

OBJECTIVE: One way to improve the survival rate of epithelial Ovarian Cancer (EOC) is by identifying effective biomarkers useful at different stages and time points of the disease. A potential biomarker is circulating tumor DNA (ctDNA) in plasma or serum. In this systematic review, we provide an overview of applications of ctDNA in EOC to discuss the direction of future research in this field. METHODS: We performed a systematic search in Pubmed, Embase, and Scopus to identify relevant clinical studies eligible for inclusion. Furthermore, the references in the identified studies and relevant reviews were assessed to identify additional studies. The PRISMA guideline was employed to perform the systematic review, and data from the studies were extracted using piloted data extraction forms. RESULTS: A total of 36 observational studies were included. The concordance between tumor and ctDNA was assessed in 19 studies, early diagnosis in 1, diagnosis in 23, monitoring of treatment response in 7, detection of reversion mutations in 3, prognosis in 9, but no studies assessed early detection of recurrence. Data from the studies were reported descriptively. The studies had a large variation in the methods used for ctDNA analysis and limited sample sizes of 10-126 patients. Overall, the studies show that ctDNA is a potential biomarker for EOC useful in several settings during assessment and treatment of these patients. CONCLUSIONS: Although the identified studies are limited in number and their methods for ctDNA analysis vary, it is clear that ctDNA as a biomarker for EOC is promising for several applications in diagnostics, monitoring of treatment response, and prognostics. However, more studies are needed to establish the ideal methods and settings for the clinical use of ctDNA in EOC.

Enrichment and detection method for the prognostic value of circulating tumor cells in ovarian cancer: A meta-analysis.

OBJECTIVES: Recent studies have revealed that circulating tumor cells (CTCs) might predict bad prognosis, but the results were conflicting. Sampling time, treatment, enrichment method and detection method also varied. We aimed to evaluate whether patients with CTCs in peripheral blood have bad survival outcomes with consideration of the above four aspects. METHODS: Relevant studies were searched on Pubmed, Embase and the Cochrane Library. Studies of CTCs involving survival data available were identified for a systematic review and meta-analysis. HRs and 95% CIs for PFS and OS were extracted directly or from the Kaplan-Meier survival curves by the Engauge Digitizer v4.1. Subgroup analyses were performed to evaluate the effect of sampling time, treatment, enrichment method and detection method. RESULTS: Two clinical trials and thirteen retrospective studies with a total of 1285 patients were included. CTCs significantly correlated with OS (HR = 1.77, 95%CI:1.42-2.21, p < 0.00001 and PFS (HR = 1.53, 95%CI:1.26-1.86, p < 0.0001). Subgroup analyses showed that CTCs were significant associated with OS in the "Pre-therapy" subgroup (HR = 1.79, 95%CI:1.43-2.24, p < 0.00001), the "Surgery" group (HR = 1.82, 95%CI:1.42-2.33, p < 0.00001), and the "RT-PCR"subgroup (HR = 2.29, 95%CI:1.53-3.42, p < 0.0001). While for enrichment method, CTCs significantly correlated with OS in the"Physical method" subgroup (HR = 1.94, 95%CI:1.21-3.09, p = 0.006) and the "Immunological method" subgroup (HR = 1.84, 95%CI:1.37-2.48, p < 0.0001). CONCLUSIONS: The presence of CTCs prior to the treatment indicated worse OS and PFS and CTCs might be predictive biomarker for ovarian cancer patients . CTCs detected using RT-PCR seem to be associated with poorer OS and PFS in patients with ovarian cancer.

Cell-free DNA is abundant in ascites and represents a liquid biopsy of ovarian cancer.

OBJECTIVE: Malignant ascites is a common clinical feature of ovarian cancer and represents a readily accessible sample of tumour cells and tumour DNA. This study aimed to characterise the cell-free DNA (cfDNA) in ascites in terms of its size profile, stability and cell-free tumour DNA (cftDNA) content. METHODS: Cell spheroids, loose cells and cell-free fluid was collected from ascites from 18 patients with ovarian cancer. cfDNA was isolated and assessed for size by electrophoresis, concentration by fluorometry,cftDNA content by methylation specific qPCR of HOXA9 and IFFO1 promoter regions and by targeted sequencing. Stability was assessed after ascites fluid was stored at 4 °C for 24 and 72 h before fractionating. RESULTS: The concentration of cfDNA in ascites ranged from 6.6 to 300 ng/mL. cfDNA size distribution resembled blood plasma-derived cfDNA, with major peaks corresponding to mono- and di-nucleosome DNA fragments. High molecular weight cfDNA was observed in 7 of 18 patients and appeared to be associated with extracellular vesicles. IFFO1 and HOXA9 methylation was proportionately higher in cfDNA than spheroid- and loose-cell fractions and was not observed in healthy primary cells. Variant allele frequency was highest in cfDNA compared to single cells and spheroids from ascites. Though cancer cell numbers in ascites declined to near zero in recurrent ascites from one patient undertaking chemotherapy, cftDNA could still be sampled. cfDNA size, concentration and tumour content was stable over 72 h. CONCLUSION: cfDNA in ovarian cancer ascites demonstrates inter-patient variability, yet is consistently a rich source of cftDNA, which is a stable substrate. This supports the wider clinical use of ascites in the molecular analysis of ovarian cancer.

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.

Genetically predicted circulating protein biomarkers and ovarian cancer risk.

OBJECTIVE: Most women with epithelial ovarian cancer (EOC) are diagnosed after the disease has metastasized and survival in this group remains poor. Circulating proteins associated with the risk of developing EOC have the potential to serve as biomarkers for early detection and diagnosis. We integrated large-scale genomic and proteomic data to identify novel plasma proteins associated with EOC risk. METHODS: We used the germline genetic variants most strongly associated (P <1.5 × 10-11) with plasma levels of 1329 proteins in 3301 healthy individuals from the INTERVAL study to predict circulating levels of these proteins in 22,406 EOC cases and 40,941 controls from the Ovarian Cancer Association Consortium (OCAC). Association testing was performed by weighting the beta coefficients and standard errors for EOC risk from the OCAC study by the inverse of the beta coefficients from INTERVAL. RESULTS: We identified 26 proteins whose genetically predicted circulating levels were associated with EOC risk at false discovery rate < 0.05. The 26 proteins included MFAP2, SEMG2, DLK1, and NTNG1 and a group of 22 proteins whose plasma levels were predicted by variants at chromosome 9q34.2. All 26 protein association signals identified were driven by association with the high-grade serous histotype that comprised 58% of the EOC cases in OCAC. Regional genomic plots confirmed overlap of the genetic association signal underlying both plasma protein level and EOC risk for the 26 proteins. Pathway analysis identified enrichment of seven biological pathways among the 26 proteins (Padjusted <0.05), highlighting roles for Focal Adhesion-PI3K-Akt-mTOR and Notch signaling. CONCLUSION: The identified proteins further illuminate the etiology of EOC and represent promising new EOC biomarkers for targeted validation by studies involving direct measurement of plasma proteins in EOC patient cohorts.

Correlation of imaging and plasma based biomarkers to predict response to bevacizumab in epithelial ovarian cancer (EOC).

PURPOSE: Increasing measures of adiposity have been correlated with poor oncologic outcomes and a lack of response to anti-angiogenic therapies. Limited data exists on the impact of subcutaneous fat density (SFD) and visceral fat density (VFD) on oncologic outcomes. This ancillary analysis of GOG-218, evaluates whether imaging markers of adiposity were predictive biomarkers for bevacizumab (bev) use in epithelial ovarian cancer (EOC). PATIENTS AND METHODS: There were 1249 patients (67%) from GOG-218 with imaging measurements. SFD and VFD were calculated utilizing Hounsfield units (HU). Proportional hazards models were used to assess the association between SFD and VFD with overall survival (OS). RESULTS: Increased SFD and VFD showed an increased HR for death (HR per 1-SD increase 1.12, 95% CI:1.05-1.19 p = 0.0009 and 1.13, 95% CI: 1.05-1.20 p = 0.0006 respectively). In the predictive analysis for response to bev, high VFD showed an increased hazard for death in the placebo group (HR per 1-SD increase 1.22, 95% CI: 1.09-1.37; p = 0.025). However, in the bev group there was no effect seen (HR per 1-SD increase: 1.01, 95% CI: 0.90-1.14) Median OS was 45 vs 47 months in the VFD low groups and 36 vs 42 months in the VFD high groups on placebo versus bev, respectively. CONCLUSION: High VFD and SFD have a negative prognostic impact on patients with EOC. High VFD appears to be a predictive marker of bev response and patients with high VFD may be more likely to benefit from initial treatment with bev.

Differential blood count as triage tool in evaluation of pelvic masses.

OBJECTIVE: Triaging patients with presumptive ovarian cancer to the appropriate specialist may improve survival. Therefore, there is increasing interest in complementary diagnostic markers to the standard serum CA125. In patients with pelvic masses, we examined the ability of epidemiologic variables and preoperative differential blood counts to improve detection of ovarian cancer over CA125 alone. METHODS: From pathology reports, patients were classified as having: epithelial ovarian cancer (n=743), including fallopian tube and primary peritoneal cancer, non-epithelial ovarian cancers (n=46), non-ovarian cancers (n=122), or benign disease (1,129). From women with epithelial ovarian cancer, we excluded those who received prior neoadjuvant chemotherapy (n=19). Women were also excluded if they did not have a serum CA125 or complete blood count measured within 180 days prior to surgery (n=1099) or did not have both tests within 90 days of each other (n=13). Categorizing patients by menopausal status, we calculated Pearson correlations between differential counts or ratios and CA125, and used t tests to identity univariate predictors of malignancy and stepwise logistic regression and likelihood ratio tests to create models best distinguishing epithelial ovarian cancer from benign disease. RESULTS: 337 women with epithelial ovarian cancer and 365 with benign disease were included in the analysis. Compared with cancers, women with benign disease had lower average: age, 52.5 versus 58.4 years (p<0.0001); serum CA125, 20 versus 239 U/mL (p<0.0001), neutrophil-to-lymphocyte ratio, 2.4 versus 3.5 (p<0.0001); and platelet-to-lymphocyte ratio, 158 versus 222 (p<0.0001); but greater average body mass index, 28.5 versus 26.8 kg/m2 (p=0.004), and lymphocyte-to-monocyte ratio, 5.6 versus 3.9 (p<0.0001). Correlations between counts and ratios and serum CA125 were seen in both epithelial ovarian cancer and benign disease groups and differed by menopausal status. In premenopausal women, a multivariate model including serum CA125, smoking, family history, lymphocytes, and monocytes performed similarly to the model with lymphocyte-to-monocyte ratio replacing counts. In postmenopausal women, a model including body mass index, parity, monocytes, and basophils performed similarly to the model replacing counts with platelet-to-lymphocyte ratio and lymphocyte-to-monocyte ratio. Models including epidemiologic variables and either counts or ratios were better at fitting data than models with serum CA125 and menopausal status alone. A single model applying to all women overstated performance for premenopausal women and understated performance for postmenopausal women. CONCLUSIONS: Epidemiologic variables and differential counts or ratios better distinguished between benign and malignant disease when compared with serum CA125 alone using separate models for pre- and postmenopausal women.

The value of human epididymis 4, D-dimer, and fibrinogen compared with CA 125 alone in triaging women presenting with pelvic masses: a retrospective cohort study.

INTRODUCTION: CA 125, the biomarker in common clinical use for ovarian cancer, is limited by low sensitivity for early disease and high false positives. The aim of this study was to evaluate several candidate biomarkers, alone or in combination, compared with CA 125 in the prediction of malignant/borderline vs benign tumor status in premenopausal and postmenopausal women with pelvic masses. MATERIAL AND METHODS: This was a retrospective observational cohort study set in St James's Hospital, a tertiary referral center for gynecological malignancy in Dublin, Ireland. Women undergoing surgery for pelvic masses between 2012 and 2018 were included. Preoperative human epididymis protein 4 (HE4), the Risk of Ovarian Malignancy Algorithm, the Risk of Malignancy Index I and II, D-dimer, and fibrinogen were assessed. Logistic regression models were fitted for each biomarker alone and in combination. Receiver operating characteristics-area under the curve (ROC-AUC) and partial AUCs in the 90%-100% specificity range were determined. RESULTS: In all, 89 premenopausal and 185 postmenopausal women were included. In premenopausal women, no biomarker(s) outperformed CA 125 (AUC 0.73; 95% CI 0.63-0.84). In postmenopausal women, HE4 had a partial AUC (pAUC) of 0.71 (95% CI 0.64-0.79) compared with 0.57 (95% CI 0.51-0.69) for CA 125 (p = 0.009). HE4 + D-dimer had an improved pAUC of 0.74 (95% CI 0.68-0.81, p < 0.001) and HE4 + D-dimer + fibrinogen had a pAUC of 0.75 (95% CI 0.68-0.82). CONCLUSIONS: A novel biomarker panel of HE4 ± D-dimer ± fibrinogen outperformed CA 125 alone as a high-specificity biomarker in postmenopausal women and could aid in the preoperative triaging of pelvic masses. No biomarker(s) outperformed CA 125 in premenopausal women.

A Targeted Mass Spectrometry Strategy for Developing Proteomic Biomarkers: A Case Study of Epithelial Ovarian Cancer.

Protein biomarkers for epithelial ovarian cancer are critical for the early detection of the cancer to improve patient prognosis and for the clinical management of the disease to monitor treatment response and to detect recurrences. Unfortunately, the discovery of protein biomarkers is hampered by the limited availability of reliable and sensitive assays needed for the reproducible quantification of proteins in complex biological matrices such as blood plasma. In recent years, targeted mass spectrometry, exemplified by selected reaction monitoring (SRM) has emerged as a method, capable of overcoming this limitation. Here, we present a comprehensive SRM-based strategy for developing plasma-based protein biomarkers for epithelial ovarian cancer and illustrate how the SRM platform, when combined with rigorous experimental design and statistical analysis, can result in detection of predictive analytes.Our biomarker development strategy first involved a discovery-driven proteomic effort to derive potential N-glycoprotein biomarker candidates for plasma-based detection of human ovarian cancer from a genetically engineered mouse model of endometrioid ovarian cancer, which accurately recapitulates the human disease. Next, 65 candidate markers selected from proteins of different abundance in the discovery dataset were reproducibly quantified with SRM assays across a large cohort of over 200 plasma samples from ovarian cancer patients and healthy controls. Finally, these measurements were used to derive a 5-protein signature for distinguishing individuals with epithelial ovarian cancer from healthy controls. The sensitivity of the candidate biomarker signature in combination with CA125 ELISA-based measurements currently used in clinic, exceeded that of CA125 ELISA-based measurements alone. The SRM-based strategy in this study is broadly applicable. It can be used in any study that requires accurate and reproducible quantification of selected proteins in a high-throughput and multiplexed fashion.

Exploring the prognostic significance of preoperative high normocalcemia in epithelial ovarian carcinoma.

PURPOSE: We investigated the association between serum ionized calcium and prognosis of EOC and determined the optimal cutoff value of ionized calcium level to predict the prognosis of EOC. METHODS: The medical records of patients who were newly diagnosed with EOC from 2001 to 2016 were retrieved. Preoperative ionized calcium test was performed within 2 weeks before surgery, and the cutoff of high normocalcemia was defined based on the receiver operating characteristic (ROC) curve for recurrence. Cox proportional hazards regression models were used to identify independent prognostic factors for progression-free survival (PFS). RESULTS: From 2001 to 2016, 83 patients diagnosed with EOC were identified at a single institution. The optimal cutoff value was set to 4.7 mg/dL (high normocalcemia vs. control group) by plotting the ROC curve for recurrence. Stages III/IV were more frequent in high normocalcemia, with borderline significance (72.9% vs. 52.2%, p = 0.053). Recurrence (67.6% vs. 43.5%, p = 0.029) and death (46.0% vs. 15.2%, p < 0.01) were significantly more frequent in the high normocalcemia group. In multivariate analysis, high normocalcemia (HR 1.9, 95% CI 1.03-3.61, p = 0.04), age (HR 1.04, 95% CI 1.01-1.08, p = 0.02), stage (HR 3.67, 95% CI 1.13-11.92, p = 0.03), residual tumor > 1 cm (HR 3.79, 95% CI 1.61-8.95, p < 0.01), and lymph node metastasis (HR 2.46, 95% CI 1.27-4.78, p < 0.01) were independent risk factors for recurrence. CONCLUSION: This study showed positive association between relatively high level of ionized calcium level and recurrence risk of EOC. High normocalcemia showed the potential as a biomarker for prognosis of EOC.

Preoperative low hematocrit is an adverse prognostic biomarker in ovarian cancer.

OBJECTIVE: The study aimed to investigate the prognostic value of preoperative hematocrit (HCT) on the survival of epithelial ovarian cancer (EOC) patients. METHODS: Patients who underwent primary debulking surgery (PDS) in our institution, from January 2010 to December 2015, were enrolled. The preoperative HCT, hemoglobin (Hb), tumor stage, ascites volume, age, albumin, BMI, ASA score, diabetes and other factors were collected and analyzed to find the risk factors for poor prognosis of EOC patients using Cox regression. Survival analysis was conducted with Kaplan-Meier method and log-rank test. RESULTS: 192 patients met the inclusion criteria. HCT < 35% (P = 0.031, HR: 1.715, 95% CI 1.050-2.802) was an independent risk factor for poor overall survival in patients. The mean survival time was 83.7 months in patients with preoperative HCT ≥ 35% and 61.7 months in patients with HCT < 35% (P = 0.002). Patients with low HCT (< 35%) had a poor prognosis compared with patients with normal HCT, specifically in the patients of stage III/IV, age ≥ 65 years, BMI ≥ 25.0 kg/m2, ascites volume ≤ 500 mL, ASA score < 3, albumin ≥ 35 g/L and nondiabetic. Low HCT was more likely to occur in patients with advanced stage (III/IV), anemia (Hb < 110 g/mL), low albumin (< 35 g/L), high ASA score (≥ 3) and platelet > 400 × 109/L. CONCLUSIONS: Preoperative low HCT was a valuable predictor for EOC patients' poor prognosis, specifically in obese, nondiabetic, elder, advanced stage but having relatively good performance status patients.