OvaPrint-A Cell-free DNA Methylation Liquid Biopsy for the Risk Assessment of High-grade Serous Ovarian Cancer.

PURPOSE: High-grade serous ovarian carcinoma (HGSOC) is the most lethal epithelial ovarian cancer (EOC) and is often diagnosed at late stage. In women with a known pelvic mass, surgery followed by pathologic assessment is the most reliable way to diagnose EOC and there are still no effective screening tools in asymptomatic women. In the current study, we developed a cell-free DNA (cfDNA) methylation liquid biopsy for the risk assessment of early-stage HGSOC. EXPERIMENTAL DESIGN: We performed reduced representation bisulfite sequencing to identify differentially methylated regions (DMR) between HGSOC and normal ovarian and fallopian tube tissue. Next, we performed hybridization probe capture for 1,677 DMRs and constructed a classifier (OvaPrint) on an independent set of cfDNA samples to discriminate HGSOC from benign masses. We also analyzed a series of non-HGSOC EOC, including low-grade and borderline samples to assess the generalizability of OvaPrint. A total of 372 samples (tissue n = 59, plasma n = 313) were analyzed in this study. RESULTS: OvaPrint achieved a positive predictive value of 95% and a negative predictive value of 88% for discriminating HGSOC from benign masses, surpassing other commercial tests. OvaPrint was less sensitive for non-HGSOC EOC, albeit it may have potential utility for identifying low-grade and borderline tumors with higher malignant potential. CONCLUSIONS: OvaPrint is a highly sensitive and specific test that can be used for the risk assessment of HGSOC in symptomatic women. Prospective studies are warranted to validate OvaPrint for HGSOC and further develop it for non-HGSOC EOC histotypes in both symptomatic and asymptomatic women with adnexal masses.

Comparison of the risk of ovarian malignancy algorithm and Copenhagen Index for the preoperative assessment of Japanese women with ovarian tumors.

OBJECTIVE: To compare the risk of ovarian malignancy algorithm (ROMA) and Copenhagen Index (CPH-I) in their ability to distinguish epithelial ovarian cancer (EOC) and malignant ovarian tumors (MLOT) from benign ovarian tumors (BeOT) in Japanese women. METHODS: Patients with pathologically diagnosed ovarian tumors were included in this study. The study validated the diagnostic performance of ROMA and CPH-I. RESULTS: Among the 463 Japanese women included in this study, 312 had BeOT, 99 had EOC, and 52 had other MLOT. The receiver-operator characteristic (ROC) area under the curve (AUCs) of ROMA (0.89) and CPH-I (0.89) for distinguishing EOC from BeOT were significantly higher than that of CA125 (0.82) (CA 125 vs. ROMA; p = 0.002, vs. CPH-I; p < 0.001). The ROC-AUCs of ROMA (0.82) and CPH-I (0.81) for distinguishing MLOT from BeOT were significantly higher than that of CA125 (0.75) (CA 125 vs. ROMA: p = 0.003, vs. CPH-I: p < 0.001). The sensitivity (SN)/specificity (SP) of ROMA and CPH-I for distinguishing EOC from BeOT at standard cut-off points were 69%/90%, and 69%/90%, respectively, those for distinguishing MLOT from BeOT were 54%/90%, and 55%/90%, respectively. CONCLUSION: ROMA and CPH-I performed comparably well and better than CA125 in distinguishing EOC from BeOT in Japanese women. ROMA and CHP-I should be used with caution in practical situations, where all histological possibilities for must be considered, because the SNs of ROMA and CPH-I were only 54% and 55%.

Germline Testing and Somatic Tumor Testing for BRCA1/2 Pathogenic Variants in Ovarian Cancer: What Is the Optimal Sequence of Testing?

PURPOSE: In 2020, ASCO recommended that all women with epithelial ovarian cancer have germline testing for BRCA1/2 mutations, and those without a germline pathogenic variant (PV) should have somatic tumor testing to determine eligibility for a poly (ADP-ribose) polymerase inhibitor. Consequently, the majority of patients with ovarian cancer will have both germline testing and somatic testing. An alternate strategy is tumor testing first and then germline testing if there is a PV in the tumor and/or significant family history. The objective was to conduct a cost-effectiveness analysis comparing the two testing strategies. METHODS: The Markov model compared the costs (US dollars) and benefits of two testing strategies for newly diagnosed ovarian cancer: (1) ASCO strategy and (2) tumor testing triage for germline testing. Data were applied from SOLO-1, and costs were from wholesale acquisition prices, Medicare, and published sources. Sensitivity analyses accounted for uncertainty around various parameters. Monte Carlo simulation estimated the number tested and identified with germline and somatic BRCA PV for olaparib maintenance treatment annually in the US population. RESULTS: The ASCO strategy was more effective but more costly than tumor testing triage in identifying patients for olaparib, with an incremental cost-effectiveness ratio of $281,296 US dollars per progression-free life year gained. Assuming 10,000 eligible patients with ovarian cancer annually, Monte Carlo simulation yielded comparable numbers of patients with BRCA PV in the germline and tumor with the ASCO and tumor testing triage strategies (2,080 v 2,062, respectively), but substantially higher number of patients tested using the ASCO strategy (8,052 v 3,076). CONCLUSION: The ASCO strategy may identify more BRCA PVs but is not cost-effective. Tumor testing in epithelial ovarian cancer as triage for germline testing is the favored strategy in this health care system.

Association between time to diagnosis, time to treatment, and ovarian cancer survival in the United States.

OBJECTIVE: Evaluate the association between time to diagnosis and treatment of advanced ovarian cancer with overall and ovarian cancer specific mortality using a retrospective cross sectional study of a population based cancer registry database. METHODS: The Surveillance, Epidemiology, and End Results-Medicare database was searched from 1992 to 2015 for women aged ≥66 years with epithelial ovarian cancer and abdominal/pelvic pain, bloating, difficulty eating, or urinary symptoms within 1 year of cancer diagnosis. Time from presentation to diagnosis and treatment were evaluated as outcomes and covariables. Cox regression models and adjusted Kaplan-Meier curves evaluated 5 year overall and cancer-specific survival. RESULTS: Among 13 872 women, better survival was associated with longer time from presentation to diagnosis (overall survival hazard ratio (HR) 0.95, 95% confidence interval (CI) 0.94 to 0.95; cancer specific survival HR 0.95, 95% CI 0.94 to 0.96) and diagnosis to treatment (overall survival HR 0.94, 95% CI 0.92 to 0.96; cancer specific survival HR 0.93, 95% CI 0.91 to 0.96). There was longer time from presentation to diagnosis in Hispanic women (relative risk (RR) 1.21, 95% CI 1.12 to 1.32) and from diagnosis to treatment in non-Hispanic black women (RR 1.36, 95% CI 1.21 to 1.54), with lower likelihood of survival at 5 years after adjustment for time to diagnosis and treatment among non-Hispanic black women (HR 1.15, 95% CI 1.05 to 1.26) compared with non-Hispanic white women. Gynecologic oncology visit was associated with improved overall (p<0.001) and cancer specific (p<0.001) survival despite a longer time from presentation to treatment (p<0.001). CONCLUSION: Longer time to diagnosis and treatment were associated with improved survival, suggesting that tumor specific features are more important prognostic factors than the time interval of workup and treatment. Significant sociodemographic disparities indicate social determinants of health influencing workup and care. Gynecologic oncologist visits were associated with improved survival, highlighting the importance of appropriate referral for suspected ovarian cancer.

Assessment of the diagnostic and prognostic relevance of ACAT1 and CE levels in plasma, peritoneal fluid and tumor tissue of epithelial ovarian cancer patients - a pilot study.

BACKGROUND: Abnormal accumulation of acyl-CoA cholesterol acyltransferase-1 (ACAT1) and ACAT1-mediated cholesterol esterified with fatty acids (CE) contribute to cancer progression in various cancers. Our findings of increased CE and ACAT1 levels in epithelial ovarian cancer (EOC) cell lines prompted us to investigate whether such an increase occurs in primary clinical samples obtained from human subjects diagnosed with EOC. We evaluated the diagnostic/prognostic potential of ACAT1 and CE in EOC by: 1) assessing ACAT1 and CE levels in plasma, peritoneal fluid, and ovarian/tumor tissues; 2) assessing diagnostic performance by Receiver Operating Characteristic (ROC) analysis; and 3) comparing expression of ACAT1 and CE with that of tumor proliferation marker, Ki67. METHODS: ACAT1 protein levels in plasma, peritoneal fluid and tissue were measured via enzyme-linked immunosorbent assay. Tissue expression of ACAT1 and Ki67 proteins were confirmed by immunohistochemistry and mRNA transcript levels were evaluated using quantitative real-time polymerase chain reaction (qRT-PCR). CE levels were assessed in plasma, peritoneal fluid (colorimetric assay) and in tissue (thin layer chromatography). RESULTS: Preoperative levels of ACAT1 and CE on the day of surgery were significantly higher in tissue and peritoneal fluid from EOC patients vs. the non-malignant group, which included subjects with benign tumors and normal ovaries; however, no significant differences were observed in plasma. In tissue and peritoneal fluid, positive correlations were observed between CE and ACAT1 levels, as well as between ACAT1/CE and Ki67. CONCLUSIONS: ACAT1 and CE accumulation may be linked to the aggressive potential of EOC; therefore, these mediators may be useful biomarkers for EOC prognosis and target-specific treatments.

Temporal trends of healthcare system use between symptomatic presentation and ovarian cancer diagnosis in the United States.

OBJECTIVE: To describe trends in healthcare system use over time between onset of classic ovarian cancer symptoms and ovarian cancer diagnosis in the United States. METHODS: A population-based study of the Surveillance, Epidemiology, and End Results-Medicare database was conducted on patients aged ≥66 years with stage II-IV epithelial ovarian cancer between 1992 and 2015 with at least one of the following diagnosis codes: abdominal pain, bloating, difficulty eating, and/or urinary symptoms. The outcomes were frequency of visit type, frequency of diagnostic modality, and Medicare reimbursement between first symptomatic claim and cancer diagnosis. Jonckheere-Terpstra and Cochran-Armitage tests were used to evaluate trends over time. RESULTS: Among 13 872 women, 13 541 (97.6%) had outpatient, 6466 (46.6%) had inpatient, and 4906 (35.4%) had emergency room visits. The frequency of outpatient (p<0.001) and emergency room visits (p<0.001) increased while the frequency of inpatient visits (p<0.001) decreased between 1992 and 2015. The median number of outpatient visits (p<0.001) and physician specialties seen (p<0.001) increased over time. The median hospital length of stay decreased from 10 days in 1992 to 5 days in 2015 (p<0.001). Between 1992 and 2015, the frequency of ultrasound decreased (p<0.001) while the frequency of computed tomography, magnetic resonance imaging, positron emission tomography imaging, and cancer antigen 125 tumor immunoassay increased (p<0.001). Median monthly total (p<0.001), inpatient (p<0.001), and outpatient (p=0.006) reimbursements decreased while emergency room reimbursements increased (p<0.001) over time. CONCLUSION: Healthcare reimbursement between symptomatic presentation and ovarian cancer diagnosis has decreased over time and may reflect the trends in fewer and shorter hospitalizations and increased use of emergency and outpatient management during the evaluation of symptoms of women with ovarian cancer.

Algorithm to Identify Incident Epithelial Ovarian Cancer Cases Using Claims Data.

PURPOSE: To create an algorithm to identify incident epithelial ovarian cancer cases in claims-based data sets and evaluate performance of the algorithm using SEER-Medicare claims data. METHODS: We created a five-step algorithm on the basis of clinical expertise to identify incident epithelial ovarian cancer cases using claims data for (1) ovarian cancer diagnosis, (2) receipt of platinum-based chemotherapy, (3) no claim for platinum-based chemotherapy but claim for tumor debulking surgery, (4) removed cases with nonplatinum chemotherapy, and (5) removed patients with prior claims with personal history of ovarian cancer code to exclude prevalent cases. We evaluated algorithm performance using SEER-Medicare claims data by creating four cohorts: incident epithelial ovarian cancer, a 5% random sample of cancer-free Medicare beneficiaries, a 5% random sample of incident nonovarian cancer, and prevalent ovarian cancer cases. RESULTS: Using SEER tumor registry data as the gold standard, our algorithm correctly classified 89.9% of incident epithelial ovarian cancer cases (cohort n = 572) and almost 100% of cancer-free controls (n = 97,127), nonovarian cancer (n = 714), and prevalent ovarian cancer cases (n = 3,712). The overall algorithm sensitivity was 89.9%, the positive predictive value was 93.8%, and the specificity and negative predictive value were > 99.9%. Patients were more likely to be correctly classified as incident ovarian cancer if they had stage III or IV disease compared with early stage I or II disease (93.5% v 83.7%, P < .01), and grade 1-4 compared with unknown grade tumors (93.8% v 81.4%, P < .01). CONCLUSION: Our algorithm correctly identified most incident epithelial ovarian cancer cases, especially those with advanced disease. This algorithm will facilitate research in other claims-based data sets where cancer registry data are unavailable.

Assessment of Adult Women With Ovarian Masses and Treatment of Epithelial Ovarian Cancer: ASCO Resource-Stratified Guideline.

PURPOSE: To provide expert guidance to clinicians and policymakers in three resource-constrained settings on diagnosis and staging of adult women with ovarian masses and treatment of patients with epithelial ovarian (including fallopian tube and primary peritoneal) cancer. METHODS: A multidisciplinary, multinational ASCO Expert Panel reviewed existing guidelines, conducted a modified ADAPTE process, and conducted a formal consensus process with additional experts. RESULTS: Existing sets of guidelines from eight guideline developers were found and reviewed for resource-constrained settings; adapted recommendations from nine guidelines form the evidence base, informing two rounds of formal consensus; and all recommendations received ≥ 75% agreement. RECOMMENDATIONS: Evaluation of adult symptomatic women in all settings includes symptom assessment, family history, and ultrasound and cancer antigen 125 serum tumor marker levels where feasible. In limited and enhanced settings, additional imaging may be requested. Diagnosis, staging, and/or treatment involves surgery. Presurgical workup of every suspected ovarian cancer requires a metastatic workup. Only trained clinicians with logistical support should perform surgical staging; treatment requires histologic confirmation; surgical goal is staging disease and performing complete cytoreduction to no gross residual disease. In first-line therapy, platinum-based chemotherapy is recommended; in advanced stages, patients may receive neoadjuvant chemotherapy. After neoadjuvant chemotherapy, all patients should be evaluated for interval debulking surgery. Targeted therapy is not recommended in basic or limited settings. Specialized interventions are resource-dependent, for example, laparoscopy, fertility-sparing surgery, genetic testing, and targeted therapy. Multidisciplinary cancer care and palliative care should be offered.Additional information can be found at www.asco.org/resource-stratified-guidelines. It is ASCO's view that health care providers and health care system decision makers should be guided by the recommendations for the highest stratum of resources available. The guideline is intended to complement but not replace local guidelines.

Cardiovascular medications and survival in people with ovarian cancer: A population-based cohort study from British Columbia, Canada.

OBJECTIVES: Research examining survival among people with ovarian cancer following use of statins or ß-blockers has been conflicting. Many studies to date have suffered from immortal time bias and/or had limited power. To address these limitations, we used time-dependent analyses to study the association between statin or ß-blocker use among all people diagnosed with an epithelial ovarian cancer in British Columbia, Canada between 1997 and 2015. METHODS: Population-based administrative data were linked for 4207 people with ovarian cancer. Statin or ß-blocker use was examined using time-dependent variables for any use, cumulative duration of use and by user-group according to whether use was initiated before or after their ovarian cancer diagnosis. Cox proportional hazards models were run to estimate the association between statin or ß-blocker use and survival. RESULTS: Any postdiagnosis use of statins was associated with better ovarian cancer survival in the full cohort (adjusted hazard ratio (aHR) = 0.76, 95% CI 0.64, 0.89) and among women with serous cancers (aHR = 0.80, 95%CI 0.67-0.96). This was primarily driven by new use post-diagnosis (aHR = 0.67, 95%CI, 0.51-0.89), but there was a trend towards better survival among those who continued use from before diagnosis (aHR 0.83, 95%CI, 0.68-1.00). There was no statistically significant association between ß-blocker use and survival. CONCLUSION: Postdiagnosis statin use was associated with improved survival among people with ovarian cancer. Given the consistency of this finding in the literature, we recommend a randomized clinical trial of statin use in people with ovarian cancer.

Review of biomarker systems as an alternative for early diagnosis of ovarian carcinoma.

Early diagnosis of ovarian carcinoma is bound to boost the long-term endurance rate of the patients. Most ovarian tumors happen post menopause when the ovaries have no vital operation and therefore irregular ovarian role causes no signs. According to Muinao T. et al. (Heliyon. 5(12):e02826, 2019), if we consider the frequency of ovarian carcinoma to be moderate, a screening technique must accomplish a base specificity of 99.6% and sensitivity of over 75%. The classification and approval of early diagnostic biomarkers explicit to ovarian carcinoma are essentially required. Prevailing methods for early diagnosis of ovarian carcinoma incorporate TVS, biological marker examination, or a blend of the two or other. In recent years, it has been revealed that a combination of at least two biomarkers has beaten single biomarkers in measures for early diagnosis of the illness. In the present document, we survey the ongoing exploration of innovative characteristic methodologies and possible panels of carcinoma biological markers for the early diagnosis of ovarian carcinoma and discuss biomarkers as the plausible apparatus for model improvement and other progressed approaches as an effective alternative to the prevailing methods for early diagnosis of this dreadful disease to evade bogus analysis and inordinate expense.

FLABRA, frontline approach for BRCA testing in an ovarian cancer population: a Latin America epidemiologic study.

Aim: FLABRA evaluated the prevalence of BRCA mutations, genetic counseling and management approaches in patients with ovarian cancer in Latin America. Patients & methods: Patients with ovarian cancer from six Latin-American countries were enrolled. Tumor samples were tested for BRCA mutations (BRCAmut). In cases with BRCAmut, blood samples were analyzed to determine germline versus somatic mutations. Medical records were reviewed for counseling approach and treatment plan. Results: From 472 patients enrolled, 406 samples yielded conclusive results: 282 were BRCA wild-type (BRCAwt), 115 were BRCAmut and nine were variants of uncertain significance. In total, 110/115 were tested for germline mutations (77 germline and 33 somatic). Conclusion: Tumor testing to identify mutations in BRCA1/2 in ovarian cancer can help optimize treatment choices, meaning fewer patients require germline testing and genetic counseling, a scant resource in Latin America. Clinical trial registration: NCT02984423 (ClinicalTrials.gov).

Health Care Utilization Prior to Ovarian Cancer Diagnosis in Publicly Insured Individuals in New York State.

BACKGROUND: Women with early-stage ovarian cancer may be asymptomatic or present with nonspecific symptoms. We examined health care utilization prior to ovarian cancer diagnosis to assess whether women with higher utilization differed in their prognosis and outcomes compared to women with low utilization. METHODS: Using Medicaid, Medicare, and New York State Cancer Registry data for ovarian cancer cases diagnosed in 2006-2015, we examined selected health care visits that occurred 1-6 months before ovarian cancer diagnosis. We used multivariable-adjusted logistic regression to estimate odds ratios (ORs) and 95% CIs for associations of sociodemographic factors with number of prediagnostic visits and number of visits with tumor characteristics, and Cox proportional hazards regression to examine differences in survival by number of visits. RESULTS: Women with >5 vs 0 prediagnostic visits were statistically significantly less likely to be diagnosed with distant vs local stage disease (OR, 0.72; 95% CI, 0.54-0.96), and women with 3-5 or >5 vs 0 prediagnostic visits had better overall survival (hazard ratio [HR], 0.88; 95% CI, 0.80-0.96 and HR, 0.90; 95% CI, 0.83-0.98, respectively). In stratified analyses, the association with improved survival was observed only among cases with regional or distant stage disease. CONCLUSIONS: Women with high health care utilization prior to ovarian cancer diagnosis may have better prognosis and survival, possibly because of earlier detection or better access to care throughout treatment. Women and their health care providers should not ignore symptoms potentially indicative of ovarian cancer and should be persistent in following up on symptoms that do not resolve.

Clinical assays for assessment of homologous recombination DNA repair deficiency.

Homologous recombination DNA repair deficiency (HRD) is a functional defect in homologous recombination DNA repair, arising from germline or somatic mutations in BRCA1/2 or other mechanisms. Cells with HRD are more sensitive to platinum and poly(ADP-ribose) polymerase inhibitors (PARPi). HRD generates permanent changes in the genome with specific, quantifiable patterns ("genomic scars"). Clinical tests for HRD, such as the Myriad genomic instability score and Foundation Medicine loss of heterozygosity test, aim to predict the presence of HRD based on genomic features. Clinical trials of PARPi in ovarian cancer have evaluated genetic mutations and HRD genomic assays as potential biomarkers of response. Patients with HRD due to BRCA1/2 mutations are more likely to respond to PARPi than those with wild-type (WT) BRCA1/2. In some clinical trials, patients with WT BRCA1/2 who were predicted to be HRD by a genomic test exhibited greater clinical benefit from PARPi than patients with WT BRCA1/2 and no evidence of HRD. HRD tests therefore hold promise as predictive biomarkers for PARPi and other DNA-damaging agents. However, HRD tests vary in terms of the specific genomic features they measure, and the methods used to determine thresholds defining patients with HRD. Also, HRD test results and PARPi responses can be discordant: for instance, tumors with reversion mutations that restore HR function still exhibit a "genomic scar" of HRD, and PARPi resistance mechanisms independent of HR can result in lack of PARPi response despite HRD. Emerging methods to predict HRD, including genomic and functional assays, may overcome some of these challenges. Evaluation of HRD in the clinical setting is an important tool that has potential to aid patient selection for PARPi and other DNA-damaging agents in ovarian cancer, but understanding the details of these tests and their limitations is critical to ensure their optimal clinical application.

Assessment of peritoneal microbial features and tumor marker levels as potential diagnostic tools for ovarian cancer.

Epithelial ovarian cancer (OC) is the most deadly cancer of the female reproductive system. To date, there is no effective screening method for early detection of OC and current diagnostic armamentarium may include sonographic grading of the tumor and analyzing serum levels of tumor markers, Cancer Antigen 125 (CA-125) and Human epididymis protein 4 (HE4). Microorganisms (bacterial, archaeal, and fungal cells) residing in mucosal tissues including the gastrointestinal and urogenital tracts can be altered by different disease states, and these shifts in microbial dynamics may help to diagnose disease states. We hypothesized that the peritoneal microbial environment was altered in patients with OC and that inclusion of selected peritoneal microbial features with current clinical features into prediction analyses will improve detection accuracy of patients with OC. Blood and peritoneal fluid were collected from consented patients that had sonography confirmed adnexal masses and were being seen at SIU School of Medicine Simmons Cancer Institute. Blood was processed and serum HE4 and CA-125 were measured. Peritoneal fluid was collected at the time of surgery and processed for Next Generation Sequencing (NGS) using 16S V4 exon bacterial primers and bioinformatics analyses. We found that patients with OC had a unique peritoneal microbial profile compared to patients with a benign mass. Using ensemble modeling and machine learning pathways, we identified 18 microbial features that were highly specific to OC pathology. Prediction analyses confirmed that inclusion of microbial features with serum tumor marker levels and control features (patient age and BMI) improved diagnostic accuracy compared to currently used models. We conclude that OC pathogenesis alters the peritoneal microbial environment and that these unique microbial features are important for accurate diagnosis of OC. Our study warrants further analyses of the importance of microbial features in regards to oncological diagnostics and possible prognostic and interventional medicine.

Clinical Performance Comparison of Two In-Vitro Diagnostic Multivariate Index Assays (IVDMIAs) for Presurgical Assessment for Ovarian Cancer Risk.

INTRODUCTION: Adnexal or pelvic mass is a finding that commonly raises suspicion for malignancy, especially for ovarian cancer. Proper identification prior to surgery would permit appropriate referral to a specialty center in cases likely to be ovarian cancer, as optimal outcomes in such cases are obtained when surgical staging and treatment are provided at the time of initial surgery. METHODS: We compared the screening capabilities of two in vitro diagnostic multivariate index assays (IVDMIAs), a new IVDMIA (second-generation multivariate index assay: MIA2G) and a currently used triage algorithm (Risk of Ovarian Malignancy Assay: ROMA). RESULTS: Among 245 subjects (24.7%) determined to have a malignancy, ROMA misclassified 51 malignancies (including 10 high-grade ovarian malignancies), whereas MIA2G misclassified 22 (including 5 high-grade ovarian malignancies). Early stage cancers were more frequently misclassified by ROMA (20 vs. 8 cases). The rate of "test-negative" malignancies was significantly higher for ROMA, while the rate of "test-positive" benign cases was significantly higher for MIA2G. CONCLUSION: Triage algorithms play an important role in improving clinical outcomes for women presenting with an adnexal mass regardless of the eventual diagnosis. In this study, MIA2G was shown to correctly predict more cases of ovarian cancer than the ROMA algorithm. FUNDING: Aspira Labs/Vermillion Inc.

Cost-utility analysis of germline BRCA1/2 testing in women with high-grade epithelial ovarian cancer in Spain.

PURPOSE: Germline mutations in BRCA1 and/or BRCA2 genes (gBRCA1/2m) are associated with an increased risk of breast cancer (BC) and ovarian cancer (OC). The aim of this study was to estimate the efficiency of providing germline BRCA1/2 testing to high-grade epithelial ovarian cancer (HGEOC) patients without family history of OC or BC and the subsequent testing and management of their relatives with gBRCA1/2m in Spain. METHODS/PATIENTS: Incident HGEOC patients without family history of OC or BC who were gBRCA1/2m carriers and their relatives were simulated in a 50-year time horizon. The study compared two scenarios: BRCA1/2 testing vs no testing, using the perspective of the Spanish National Health Service. Cancer risk among gBRCA1/2m carriers was estimated based on their age and whether they had undergone risk-reducing surgeries. Direct healthcare costs and utilities of patients who developed EOC and BC were also included. A probabilistic sensitivity analysis (PSA) with 5 thousand simulations was developed considering ± 25% of the base-case value. RESULTS: The BRCA1/2-testing scenario amounted to €13,437,897.43 while the no-testing scenario amounted to €12,053,291.17. It was estimated that the screening test improved the quality of life among the patients' relatives by 43.8 quality-adjusted life years (QALYs). The incremental cost-utility ratio (ICUR) was €31,621.33/QALY in the base case. The PSA showed that 89.12% of the simulations were below the €50,000/QALY threshold. CONCLUSION: Providing this screening test to HGEOC patients and their relatives is cost-effective and it allows one to identify a target population with high risk of cancer to provide effective prevention strategies.

The economic burden of disease of epithelial ovarian cancer in Spain: the OvarCost study.

OBJECTIVE: To assess the economic burden of epithelial ovarian cancer (EOC) in incident patients and the burden by disease stage in Spain. METHODS: We developed a Markov model from a social perspective simulating the natural history of EOC and its four stages, with a 10-year time horizon, 3-week cycles, 3% discount rate, and 2016 euros. Healthcare resource utilization and costs were estimated by disease stage. Direct healthcare costs (DHC) included early screening, genetic counselling, medical visits, diagnostic tests, surgery, chemotherapy, hospitalizations, emergency services, and palliative care. Direct non-healthcare costs (DNHC) included formal and informal care. Indirect costs (IC) included labour productivity losses due to temporary and permanent leaves, and premature death. Epidemiology data and resource use were taken from the literature and validated for Spain by the OvarCost group using a Delphi method. RESULTS: The total burden of EOC over 10 years was 3102 mill euros: 15.1% in stage I, 3.9% in stage II, 41.0% in stage III, and 40.2% in stage IV. Annual average cost/patient was €24,111 and it was €8,641; €14,184; €33,858, and €42,547 in stages I-IV, respectively. Of total costs, 71.2% were due to DHC, 24.7% to DNHC, and 4.1% to IC. CONCLUSIONS: EOC imposes a significant economic burden on the national healthcare system and society in Spain. Investment in better early diagnosis techniques might increase survival and patients' quality of life. This would likely reduce costs derived from late stages, consequently leading to a substantial reduction of the economic burden associated with EOC.

Quantitative assessment of serum heat shock protein 27 for the diagnosis of epithelial ovarian cancer using targeted proteomics coupled with immunoaffinity enrichment.

BACKGROUND: Heat shock protein 27 (HSP27) may take part in the epithelial ovarian cancer (EOC) malignant process because it is elevated in the serum of EOC patients, suggesting that HSP27 may serve as an EOC biomarker to complement the standard serum carbohydrate antigen 125 (CA125) test. Thus, accurate quantification of serum HSP27 would assist the diagnosis of EOC. METHODS: Liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based targeted proteomics coupled with an immunoaffinity enrichment assay was developed and validated to monitor HSP27 concentrations in serum. RESULTS: Tryptic peptide 80QLSSGVSEIR89 was selected as a surrogate analyte for quantification, and an immuno-depleted serum extract was used as a surrogate matrix. Immunoaffinity enrichment was effective for protein enrichment and sensitivity enhancement, and the resulting LOQ was 500 pg/ml (>10-fold increase). Then, serum HSP27 concentrations in EOC patients, benign ovarian tumors patients and healthy volunteers were accurately determined to be 4.95 ±â€¯0.37 ng/ml, 2.98 ±â€¯0.16 ng/ml and 2.82 ±â€¯0.15 ng/ml, respectively, suggesting that the EOC samples had significantly higher concentrations of HSP27 than a sample from benign ovarian tumor patients. The experimental values for the samples were compared with those obtained from enzyme-linked immune sorbent assays (ELISAs). The ROC curve analysis showed that the combined area under the curve (AUC) for CA125 and HSP27 was 0.88, which is significantly superior to that of CA125 alone. CONCLUSIONS: Targeted proteomics coupled with immunoaffinity enrichment may provide more accurate quantification of low-abundant proteins.

Estimating Cost-effectiveness of a Multimodal Ovarian Cancer Screening Program in the United States: Secondary Analysis of the UK Collaborative Trial of Ovarian Cancer Screening (UKCTOCS).

IMPORTANCE: The United Kingdom Collaborative Trial of Ovarian Cancer Screening (UKCTOCS) is the largest randomized clinical trial to evaluate screening's impact on ovarian cancer mortality, assigning women to multimodal screening (MMS) with serum cancer antigen 125 (CA-125) interpreted using a risk algorithm. If the MMS screening method is eventually shown to reduce mortality and be cost-effective, then it may be accepted by the medical community as a feasible screening tool. OBJECTIVE: To estimate the cost-effectiveness of an MMS screening program in the United States. DESIGN, SETTING, AND PARTICIPANTS: A Markov simulation model was constructed using data from UKCTOCS to compare MMS with no screening in the United States. Screening would begin at the age of 50 years for women in the general population. Published estimates of the long-term effect of MMS screening on ovarian cancer mortality and the trial's published hazard ratios were used to simulate mortality estimates up to 40 years from start of screening. Base-case costs included CA-125, ultrasound, and false-positive work-up results, in addition to a risk algorithm cost estimate of $100. The utility and costs of ovarian cancer treatment were incorporated into the model. INTERVENTIONS: Screening strategies varied by costs of the algorithm and treatment for advanced ovarian cancer, rates of screening compliance, ovarian cancer incidence, and extrapolation of ovarian cancer mortality. MAIN OUTCOMES AND MEASURES: Costs, quality-adjusted life-years (QALYs), and mortality reduction of ovarian cancer screening. RESULTS: Multimodal screening is both more expensive and more effective in reducing ovarian cancer mortality over a lifetime than no screening. After accounting for uncertainty in the underlying parameters, screening women starting at age 50 years with MMS is cost-effective 70% of the time, when decision makers are willing to pay $150 000 per QALY. Screening reduced mortality by 15%, with an incremental cost-effectiveness ratio (ICER) ranging from $106 187 (95% CI, $97 496-$127 793) to $155 256 (95% CI, $150 369-$198 567). CONCLUSIONS AND RELEVANCE: Ovarian cancer screening is potentially cost-effective in the United States depending on final significance of mortality reduction and cost of the CA-125 risk algorithm. These results are limited by uncertainty around the effect of screening on ovarian cancer mortality beyond the 11 years of UKCTOCS.