Dataset Information

A novel multiple marker bioassay utilizing HE4 and CA125 for the prediction of ovarian cancer in patients with a pelvic mass.

ABSTRACT: Patients diagnosed with epithelial ovarian cancer (EOC) have improved outcomes when cared for at centers experienced in the management of EOC. The objective of this trial was to validate a predictive model to assess the risk for EOC in women with a pelvic mass.Women diagnosed with a pelvic mass and scheduled to have surgery were enrolled on a multicenter prospective study. Preoperative serum levels of HE4 and CA125 were measured. Separate logistic regression algorithms for premenopausal and postmenopausal women were utilized to categorize patients into low and high risk groups for EOC.Twelve sites enrolled 531 evaluable patients with 352 benign tumors, 129 EOC, 22 LMP tumors, 6 non EOC and 22 non ovarian cancers. The postmenopausal group contained 150 benign cases of which 112 were classified as low risk giving a specificity of 75.0% (95% CI 66.9-81.4), and 111 EOC and 6 LMP tumors of which 108 were classified as high risk giving a sensitivity of 92.3% (95% CI=85.9-96.4). The premenopausal group had 202 benign cases of which 151 were classified as low risk providing a specificity of 74.8% (95% CI=68.2-80.6), and 18 EOC and 16 LMP tumors of which 26 were classified as high risk, providing a sensitivity of 76.5% (95% CI=58.8-89.3).An algorithm utilizing HE4 and CA125 successfully classified patients into high and low risk groups with 93.8% of EOC correctly classified as high risk. This model can be used to effectively triage patients to centers of excellence.

SUBMITTER: Moore RG

PROVIDER: S-EPMC3594094 | biostudies-literature | 2009 Jan

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

A novel multiple marker bioassay utilizing HE4 and CA125 for the prediction of ovarian cancer in patients with a pelvic mass.

Moore Richard G RG McMeekin D Scott DS Brown Amy K AK DiSilvestro Paul P Miller M Craig MC Allard W Jeffrey WJ Gajewski Walter W Kurman Robert R Bast Robert C RC Skates Steven J SJ

Gynecologic oncology 20081012 1

<h4>Introduction</h4>Patients diagnosed with epithelial ovarian cancer (EOC) have improved outcomes when cared for at centers experienced in the management of EOC. The objective of this trial was to validate a predictive model to assess the risk for EOC in women with a pelvic mass.<h4>Methods</h4>Women diagnosed with a pelvic mass and scheduled to have surgery were enrolled on a multicenter prospective study. Preoperative serum levels of HE4 and CA125 were measured. Separate logistic regression ...[more]

PMID: 18851871

Similar Datasets

Project description:ObjectiveSurvival in epithelial ovarian cancer (EOC) remains poor. Most patients are diagnosed in late stages. Early diagnosis increases the chance of survival. We used the proximity extension assay from Olink Proteomics to search for new protein biomarkers with the potential to improve the diagnostic performance of CA125 and HE4 in patients with ovarian tumors.Material and methodsPlasma samples were obtained from 180 women with ovarian tumors; 30 cases of benign tumor, 28 cases with borderline tumors, 25 early EOC cases (FIGO stage I) and 97 advanced EOC cases (FIGO stages II-IV). Proteins were measured using the Olink® Oncology II and Inflammation panels. For statistical analyses, patients were categorized into benign tumors versus cancer and benign tumors versus borderline + cancer, respectively.ResultsWe analyzed 177 biomarkers. Thirty-four proteins had ROC AUC > 0.7 for discrimination between benign tumors and cancer. Fifteen proteins had ROC AUC > 0.7 for discrimination between benign tumors and borderline tumors + cancer. HE4 ranked highest for both comparisons. A reference model with HE4, CA125 and age (AUC 0.838 for benign tumors vs. cancer and AUC 0.770 for benign tumors vs. borderline tumors + cancer) was compared to the reference model with the addition of each of the remaining proteins with AUC > 0.7. ITGAV was the only individual biomarker found to improve diagnostic performance of the reference model, to AUC 0.874 for benign tumors vs. cancer and AUC 0.818 for benign tumors vs. borderline tumors + cancer (p < 0.05). Cross-validation and LASSO regression was combined to select multiple biomarker combinations. The best performing model for discrimination between benign tumors and borderline tumors + cancer was a 6-biomarker combination (HE4, CA125, ITGAV, CXCL1, CEACAM1, IL-10RB) and age (AUC 0.868, sensitivity 0.86 and specificity 0.82, p = 0.016 for comparison with the reference model).ConclusionHE4 was the best performing individual biomarker for discrimination between benign ovarian tumors and EOC including borderline tumors. The addition of other carcinogenesis-related biomarkers in a multiplex biomarker panel can improve the diagnostic performance of the established biomarkers HE4 and CA125.

Project description:Risk of Ovarian Malignancy Algorithm (ROMA) combing human epididymis secretary protein 4 (HE4) and CA125 showed better diagnostic accuracy for epithelial ovarian cancer (EOC) when compared with HE4 or CA125 alone; however, other studies showed no or worse diagnostic accuracy. We aim to conduct a prospective and multicenter clinical trial to compare the diagnostic accuracy of HE4, CA125, and ROMA for EOC.A prospective and multicenter (n?=?9) trial including 2481 individuals was performed in Chinese women. HE4, CA125, and ROMA diagnostic accuracy were evaluated according to different menopausal status and stages of EOC. Their diagnostic values were evaluated by the area under curve (AUC) and compared by the Z scores. Diagnostic specificity of other kinds of participants (n?=?1098) was also evaluated.For discriminating between healthy control (HC) and EOC, only CA125 showed significant difference for discriminating HC and EOC in all the individuals when compared with HE4 and ROMA (P?<?0.001 and P?=?0.02, respectively), at the cutoff value of 31.5, the sensitivity (SN) and specificity (SP) were 88.6% and 97.1%. For discriminating between benign pelvic mass (BPM) and EOC, ROMA showed significant difference for discriminating BPM and EOC in the all individuals (P?=?0.01 and P?=?0.02, respectively) and the postmenopausal individuals (P?=?0.03 and P?=?0.04, respectively), at the cutoff value of 27.3 and 34.5, the SNs were 97.0% and 89.4%, SPs were 81.4% and 82.5%, separately. Within all kinds of diseases, there was no significant difference in specificity between CA125 and HE4.In conclusions, when HE4, CA125, and ROMA were compared with each other according to different menopausal status, and stages. Only CA125 showed significant difference for discriminating HC and EOC in all the individuals, and ROMA for discriminating BPM and EOC in the all individuals and postmenopausal individuals when compared with HE4 or CA125. HE4 has showed no significant difference in specificity with all kinds of diseases when compared with CA125.

Dataset Information

A novel multiple marker bioassay utilizing HE4 and CA125 for the prediction of ovarian cancer in patients with a pelvic mass.

Publications

A novel multiple marker bioassay utilizing HE4 and CA125 for the prediction of ovarian cancer in patients with a pelvic mass.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets