Diagnostic Performance of Risk of Ovarian Malignancy Algorithm Against CA125 and HE4 in Connection With Ovarian Cancer: A Meta-analysis

2016 ◽  
Vol 26 (9) ◽  
pp. 1586-1593 ◽  
Author(s):  
Farshid Dayyani ◽  
Steffen Uhlig ◽  
Bertrand Colson ◽  
Kirsten Simon ◽  
Vinzent Rolny ◽  
...  

ObjectivesThe aim of this study was to determine whether the Risk of Ovarian Malignancy Algorithm (ROMA) is more accurate than the human epididymis 4 (HE4) or carbohydrate antigen 125 (CA125) biomarkers with respect to the differential diagnosis of women with a pelvic mass. The secondary objective is to assess the performance of ROMA in early-stage ovarian cancer (OC) and late-stage OC, as well as premenopausal and postmenopausal patient populations.Methods/MaterialsThe PubMed and Google Scholar databases were searched for relevant clinical studies. Eligibility criteria included comparison of ROMA with both HE4 and CA125 levels in OC (unspecified, epithelial, and borderline ovarian tumors), use of only validated ROMA assays, presentation of area under the curve and sensitivity/specificity data, and results from early-stage OC, late-stage OC and premenopausal and postmenopausal women. Area under the curve (AUC), sensitivity/specificity, and the diagnostic odds ratio (DOR) results were summarized.ResultsFive studies were selected comprising 1975 patients (premenopausal, n = 1033; postmenopausal, n = 925; benign, n = 1387; early stage, n = 192; and late stage, n = 313). On the basis of the AUC (95% confidence interval) data for all patients, ROMA (0.921 [0.855–0.960]) had a numerically greater diagnostic performance than CA125 (0.883 [0.771–0.950]) and HE4 (0.899 [0.835–0.943]). This was also observed in each of the subgroup populations, in particular, the postmenopausal patients and patients with early OC. The sensitivity and specificity (95% confidence interval) results showed ROMA (sensitivity, 0.873 [0.752–0.940]; specificity, 0.855 [0.719–0.932]) to be numerically superior to CA125 (sensitivity, 0.796 [0.663–0.885]; specificity, 0.825 [0.662–0.919]) and HE4 (sensitivity, 0.817 [0.683–0.902]; specificity, 0.851 [0.716–0.928]) in all patients and for the early- and late-stage OC subgroups. Finally, the ROMA log DOR results were better than HE4 and CA125 log DOR results especially for the early-stage patient group.ConclusionsThe results presented support the use of ROMA to improve clinical decision making, most notably in patients with early OC.

2021 ◽  
Vol 11 (12) ◽  
pp. 1335
Author(s):  
Hina Amer ◽  
Apriliana E. R. Kartikasari ◽  
Magdalena Plebanski

Ovarian cancer (OC) is one of the most lethal cancers, largely due to a late diagnosis. This study aimed to provide a comprehensive meta-analysis on the diagnostic performance of IL6 in the blood and ascites separately for advanced and early-stage OC. We included 37 studies with 6948 participants detecting serum or plasma IL6. The plasma/serum IL6 mean level in the late-stage OC was 23.88 pg/mL (95% CI: 13.84–41.23), and the early-stage OC was 16.67 pg/mL (95% CI: 510.06–27.61), significantly higher than the healthy controls at 3.96 pg/mL (95% CI: 2.02–7.73), but not significantly higher than those found in the controls with benign growths in the ovary, which was 9.63 pg/mL (95% CI: 4.16–22.26). To evaluate IL6 in ascites as a diagnostic marker, we included 26 studies with 1590 participants. The mean level of ascitic IL6 in the late-stage OC was 3676.93 pg/mL (95% CI: 1891.7–7146.7), and the early-stage OC was 1519.21 pg/mL (95% CI: 604.6–3817.7), significantly higher than the benign controls at 247.33 pg/mL (95% CI: 96.2–636.0). There was no significant correlation between the levels of circulating and ascitic IL6. When pooling all OC stages for analysis, we found that serum/plasma IL6 provided 76.7% sensitivity (95% CI: 0.71–0.92) and 72% specificity (95% CI: 0.64–0.79). Ascitic IL6 provided higher sensitivity at 84% (95% CI: 0.710–0.919) and specificity at 74% (95% CI: 0.646–0.826). This study highlights the utility of ascitic IL6 for early detection of OC.


Cancers ◽  
2021 ◽  
Vol 13 (4) ◽  
pp. 913
Author(s):  
Johannes Fahrmann ◽  
Ehsan Irajizad ◽  
Makoto Kobayashi ◽  
Jody Vykoukal ◽  
Jennifer Dennison ◽  
...  

MYC is an oncogenic driver in the pathogenesis of ovarian cancer. We previously demonstrated that MYC regulates polyamine metabolism in triple-negative breast cancer (TNBC) and that a plasma polyamine signature is associated with TNBC development and progression. We hypothesized that a similar plasma polyamine signature may associate with ovarian cancer (OvCa) development. Using mass spectrometry, four polyamines were quantified in plasma from 116 OvCa cases and 143 controls (71 healthy controls + 72 subjects with benign pelvic masses) (Test Set). Findings were validated in an independent plasma set from 61 early-stage OvCa cases and 71 healthy controls (Validation Set). Complementarity of polyamines with CA125 was also evaluated. Receiver operating characteristic area under the curve (AUC) of individual polyamines for distinguishing cases from healthy controls ranged from 0.74–0.88. A polyamine signature consisting of diacetylspermine + N-(3-acetamidopropyl)pyrrolidin-2-one in combination with CA125 developed in the Test Set yielded improvement in sensitivity at >99% specificity relative to CA125 alone (73.7% vs 62.2%; McNemar exact test 2-sided P: 0.019) in the validation set and captured 30.4% of cases that were missed with CA125 alone. Our findings reveal a MYC-driven plasma polyamine signature associated with OvCa that complemented CA125 in detecting early-stage ovarian cancer.


2021 ◽  
Vol 61 (1) ◽  
Author(s):  
Jin Shang ◽  
Xiao-Hu Li ◽  
Shu-Qin Lu ◽  
Yi Shang ◽  
Lu-Lu Li ◽  
...  

Abstract Objectives To investigate the diagnostic performance of single-source dual-energy computed tomography (DECT) based on gemstone spectral imaging technology (including Discovery CT750HD and Revolution CT) in patients with suspected feet/ankles gouty arthritis, and evaluate the urate deposition with a novel semi-quantitative DECT scoring system. Methods A total of 196 patients were consecutively included. Feet and ankles were evaluated in all patients by single-source DECT scan. The 2015 EULAR/ACR criteria were used as the reference for the diagnosis of gout. The sensitivity, specificity, and area under the receiver operating characteristic curve (AUC) of DECT for the diagnosis of gout in the early (≤1 year), middle (1–3 years), and late (> 3 years) disease durations were calculated. Besides, a novel semi-quantitative DECT scoring system was assessed for the measurement of urate deposition, and the correlation between the scores and the clinical and serological data were also evaluated. Moreover, the influences of artifacts on the diagnostic performance of DECT were also determined. Results The sensitivity, specificity, and AUC of DECT in 196 patients were 38.10, 96.43%, and 0.673 in the early-stage group; 62.96, 100.00%, and 0.815 in the middle-stage group; and 77.55, 87.50%, and 0.825 in the late-stage group, respectively. The overall diagnostic accuracies in the AUC of DECT (Discovery CT750HD and Revolution CT) in the middle and late stages of gout were higher than that in the early stage of gout. Besides, the monosodium urate crystals were deposited on the first metatarsophalangeal joints and ankles/midfeet. Age, the presence of tophus, bone erosion, and disease duration considerably affected the total urate score. No statistical difference in the positive detection of nail artifact, skin artifact, vascular calcification, and noise artifact was found between the case and control groups. Conclusion DECT (Discovery CT750HD and Revolution CT) showed promising diagnostic accuracy for the detection of urate crystal deposition in gout but had limited diagnostic sensitivity for short-stage gout. Longer disease duration, the presence of tophus, and bone erosion were associated with the urate crystal score system. The artifacts do not remarkably affect the diagnostic performance of DECT in gout.


2018 ◽  
Vol 33 (1) ◽  
pp. e22624 ◽  
Author(s):  
Boyeon Kim ◽  
Yongjung Park ◽  
Banseok Kim ◽  
Hyo Jun Ahn ◽  
Kyung-A Lee ◽  
...  

2019 ◽  
Author(s):  
Wenjie Wang ◽  
Hongyu Xie ◽  
Bairong Xia ◽  
LiuChao Zhang ◽  
Ce Wang ◽  
...  

Abstract PurposeCancer antigen 125 (CA125) is considered to have high sensitivity but poor specificity for ovarian cancer. New biomarkers utilized to early detect and monitor the progression of ovarian cancer patients are critically needed. Methods A total of 80 patients including 16 early stage, and matched with 17 late stage, 23 benign ovarian tumor (BOT) and 24 uterine fibroid (UF) patients were utilized to perform plasma proteomics analysis using isobaric tag for relative and absolute quantitation (iTRAQ) method to identify differential diagnostic proteins of ovarian cancer patients. A validation set of 9 early stage, 11 late stage, 17 BOT and 16 UF collected by an independent cohort of samples with the same matching principles was examined to confirm the expressed levels of differential expression proteins by ELISA analysis. Results CRP and ARHGEF 11 were identified as potential diagnostic biomarkers of ovarian cancer. Results of area under the curve (AUC) analysis suggested that combination of diagnostic proteins and CA125 achieved a much higher diagnostic accuracy compared with CA125 alone (AUC values: 0.98 versus 0.80), especially improved the specificity (0.97 versus 0.77). In addition, elevated plasma CRP levels were associated with increased risk of ovarian cancer. Conclusions Current study found that plasma protein CRP was an indicator for monitoring the progression of ovarian cancer. Combination of plasma protein biomarkers with CA125 could be utilized to early diagnose of ovarian cancer patients. Keywords ovarian cancer, proteomics, diagnosis, progression, CRP


2010 ◽  
Vol 28 (13) ◽  
pp. 2159-2166 ◽  
Author(s):  
Zoya Yurkovetsky ◽  
Steven Skates ◽  
Aleksey Lomakin ◽  
Brian Nolen ◽  
Trenton Pulsipher ◽  
...  

PurposeEarly detection of ovarian cancer has great promise to improve clinical outcome.Patients and MethodsNinety-six serum biomarkers were analyzed in sera from healthy women and from patients with ovarian cancer, benign pelvic tumors, and breast, colorectal, and lung cancers, using multiplex xMAP bead-based immunoassays. A Metropolis algorithm with Monte Carlo simulation (MMC) was used for analysis of the data.ResultsA training set, including sera from 139 patients with early-stage ovarian cancer, 149 patients with late-stage ovarian cancer, and 1,102 healthy women, was analyzed with MMC algorithm and cross validation to identify an optimal biomarker panel discriminating early-stage cancer from healthy controls. The four-biomarker panel providing the highest diagnostic power of 86% sensitivity (SN) for early-stage and 93% SN for late-stage ovarian cancer at 98% specificity (SP) was comprised of CA-125, HE4, CEA, and VCAM-1. This model was applied to an independent blinded validation set consisting of sera from 44 patients with early-stage ovarian cancer, 124 patients with late-stage ovarian cancer, and 929 healthy women, providing unbiased estimates of 86% SN for stage I and II and 95% SN for stage III and IV disease at 98% SP. This panel was selective for ovarian cancer showing SN of 33% for benign pelvic disease, SN of 6% for breast cancer, SN of 0% for colorectal cancer, and SN of 36% for lung cancer.ConclusionA panel of CA-125, HE4, CEA, and VCAM-1, after additional validation, could serve as an initial stage in a screening strategy for epithelial ovarian cancer.


Cancers ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 596 ◽  
Author(s):  
Jing Guo ◽  
Wei-Lei Yang ◽  
Daewoo Pak ◽  
Joseph Celestino ◽  
Karen H. Lu ◽  
...  

Early detection of ovarian cancer promises to reduce mortality. While serum CA125 can detect more than 60% of patients with early stage (I–II) disease, greater sensitivity might be observed with a panel of biomarkers. Ten protein antigens and 12 autoantibody biomarkers were measured in sera from 76 patients with early stage (I–II), 44 patients with late stage (III–IV) ovarian cancer and 200 healthy participants in the normal risk ovarian cancer screening study. A four-biomarker panel (CA125, osteopontin (OPN), macrophage inhibitory factor (MIF), and anti-IL-8 autoantibodies) detected 82% of early stage cancers compared to 65% with CA125 alone. In early stage subjects the area under the receiver operating characteristic curve (AUC) for the panel (0.985) was significantly greater (p < 0.001) than the AUC for CA125 alone (0.885). Assaying an independent validation set of sera from 71 early stage ovarian cancer patients, 45 late stage patients and 131 healthy women, AUC in early stage disease was improved from 0.947 with CA125 alone to 0.974 with the four-biomarker panel (p = 0.015). Consequently, OPN, MIF and IL-8 autoantibodies can be used in combination with CA125 to distinguish ovarian cancer patients from healthy controls with high sensitivity. Osteopontin appears to be a robust biomarker that deserves further evaluation in combination with CA125.


2013 ◽  
Vol 31 (15_suppl) ◽  
pp. 5534-5534 ◽  
Author(s):  
John H. Farley ◽  
William E. Brady ◽  
Michael J. Birrer ◽  
David Marc Gershenson ◽  
Gini F. Fleming ◽  
...  

5534 Background: We examined disparities in prognosis between patients with ovarian clear cell carcinoma (OCCC) and serous epithelial ovarian cancer (SOC). Methods: Data from stage I-IV epithelial ovarian cancer (EOC) patients who participated in 12 randomized GOG protocols using platinum-based chemotherapy were reviewed. Proportional hazards models adjusted for age and stratified by protocol, treatment arm, stage, performance status (PS), and race were used to compare progression-free survival (PFS) and overall survival (OS) by cell type (clear cell versus serous). Results: There were 10,803 patients enrolled, 1272 were not eligible: leaving 9,531, of whom 544 (6%) had OCCC, 7,054 (74%) had SOC, and 1,933 (20%) had other; only the OCCC and SOC are considered here. OCCC were significantly younger, more often of Asian race, stage I, good PS, and optimally surgically debulked than SOC patients. Prior to adjustment, OCCC had better PFS and OS due to better prognostic factors. There was no significant difference in PFS or OS for early stage OCCC patients compared to high-grade (HG) SOC patients. For late stage patients, OCCC had poorer PFS and OS compared to SOC, OS HR= 1.66 (1.43, 1.91; p < 0.001). For both optimal, HR = 1.34 (1.10, 1.63; p = 0.003) and suboptimal, HR = 3.18 (2.13, 4.75; p < 0.001) OCCC had a significantly poorer OS than SOC. After adjusting for age and stratified by protocol and treatment arm, stage, performance status, and race, OCCC had a significantly decreased OS, HR= 1.53 (1.33,1.76; p < 0.001). In early stage cases, there was a significantly decreased treatment effect on PFS for consolidative therapy with weekly taxol versus observation in SOC compared to OCCC (p = 0.048). Conclusions: This is one of the largest analyses to date of OCCC treated in a uniform manner . OCCC patients have better PFS and OS compared to SOC; this, is due to their better prognostic factors. There was no observed difference in PFS or OS for early stage OCCC versus HGSOC. In late-stage patients, OCCC was significantly associated with decreased OS which was true for both optimal and suboptimally debulked patients. Finally, treatment effect was influenced by histology.


2020 ◽  
Author(s):  
Øystein Maugesten ◽  
Alexander Mathiessen ◽  
Hilde Berner Hammer ◽  
Sigrid Hestetun ◽  
Tore Kristian Kvien ◽  
...  

Abstract Objective: Fluorescence Optical Imaging (FOI) demonstrates enhanced microcirculation in finger joints as a sign of inflammation. We wanted to assess the validity and diagnostic performance of FOI measuring synovitis in persons with hand OA, comparing it with magnetic resonance imaging (MRI)- and ultrasound-detected synovitis. Methods: 221 participants with hand OA underwent FOI and ultrasound (grey scale synovitis and power-Doppler activity) of the bilateral hands and contrast-enhanced MRI examination of the dominant hand. Fifteen joints in each hand were scored on semi-quantitative scales (grade 0-3) for all modalities. Four FOI images were evaluated: one composite image (Prima Vista Mode; PVM) and three images representing phases of fluorescent dye distribution. Spearman’s correlation coefficients were calculated between sum scores of FOI, MRI and ultrasound. Sensitivity, specificity and area under the curve (AUC) was calculated for FOI using MRI or ultrasound as reference. Results: FOI did not demonstrate enhancement in the thumb base, and the joint was excluded from further analyses. FOI sum scores showed poor to fair correlations with MRI (rho 0.01-0.24) and GS synovitis sum scores (rho 0.12-0.25). None of the FOI images demonstrated both good sensitivity and specificity, and the AUC ranged from 0.50-0.61 and 0.51-0.63 with MRI and GS synovitis as reference, respectively. FOI demonstrated similar diagnostic performance with PD activity and GS synovitis as reference. Conclusion: FOI enhancement correlated poorly with synovitis assessed by more established imaging modalities, questioning the value of FOI for the evaluation of synovitis in hand OA.


Author(s):  
Arun Kannan ◽  
Jaspreet Singh ◽  
Vincent Sorrell ◽  
Aiden Abidov

Background: Two-dimensional speckle tracking echocardiography (STE) is a quantitative myocardial strain imaging technique in evaluating global and segmental myocardial deformation. The aim of the meta-analysis was to determine the diagnostic accuracy of STE in the detection of significant coronary artery disease (CAD) in patients undergoing resting or stress echocardiography. Methods: We performed a literature search in PubMed and Medline until March 2020 for studies evaluating the role of STE in diagnosing CAD. We assessed the diagnostic performance of STE in detecting CAD by using the pooled estimate of sensitivity, specificity, likelihood ratio, diagnostic odds ratio and diagnostic accuracy. We analyzed longitudinal strain data that were reported in resting and stress echocardiography. Results: A total of 17 studies (n=1762) were included for the analysis. 12 studies (n=1239) reported global longitudinal strain (GLS) in resting echocardiography and 5 studies (n=523) reported GLS in stress echocardiography. Overall, in resting echocardiography studies, pooled GLS sensitivity and specificity for predicting obstructive CAD data were calculated to be 79% (95% confidence interval 74-83%) and 77% (95% confidence interval 72-82%), respectively. The pooled odds ratio was 13.6 (95% confidence interval 8.7-21.5). When we considered the dobutamine stress echocardiograms alone, the sensitivity and specificity in predicting obstructive CAD was 77% (95% confidence interval 59-89%) and 78% (95% confidence interval 53-92%), respectively. The odds ratio was 12.6 (95% confidence interval 2.7-58.5). Conclusions: In this meta-analysis of patients with suspected CAD, we found that STE could effectively detect obstructive CAD with a high diagnostic sensitivity, specificity and diagnostic accuracy


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