Richard G Moore1, Alexandra Blackman2, M Craig Miller2, Katina Robison3, Paul A DiSilvestro3, Elizabeth E Eklund4, Robert Strongin5, Geralyn Messerlian4. 1. Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Wilmot Cancer Institute, University of Rochester, Rochester, NY 14620, USA; Center for Biomarkers and Emerging Technologies, Women and Infants Hospital/Brown University, RI 02905, USA; Program in Women's Oncology, Department of Obstetrics and Gynecology, Women and Infants Hospital/Brown University, RI 02905, USA. Electronic address: Richard_Moore@URMC.Rochester.EDU. 2. Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, Wilmot Cancer Institute, University of Rochester, Rochester, NY 14620, USA. 3. Program in Women's Oncology, Department of Obstetrics and Gynecology, Women and Infants Hospital/Brown University, RI 02905, USA. 4. Center for Biomarkers and Emerging Technologies, Women and Infants Hospital/Brown University, RI 02905, USA; Department of Pathology, Women and Infants Hospital/Brown University, RI 02905, USA. 5. Department of Chemistry, Portland State University, Portland, OR 97201, USA.
Abstract
INTRODUCTION: Management of a woman with a pelvic mass is complicated by difficulty in discriminating malignant from benign disease. Many serum biomarkers have been examined to determine their sensitivity for detecting malignancy. This study was designed to evaluate if the addition of biomarkers to HE4 and CA125, as used in the Risk of Malignancy Algorithm (ROMA), can improve the detection of EOC. METHODS: This was an IRB approved, prospective clinical trial examining serum obtained from women diagnosed with a pelvic mass who subsequently underwent surgery. Serum biomarker levels for CA125, HE4, YKL-40, transthyretin, ApoA1, Beta-2-microglobulin, transferrin, and LPA were measured. Logistic regression analysis was performed for various marker combinations, ROC curves were generated, and the area under the curves (AUCs) were determined. RESULTS: A total of 184 patients met inclusion criteria with a median age of 56 years (Range 20-91). Final pathology revealed there were 103 (56.0%) benign tumors, 4 (2.2%) LMP tumors, 61 EOC (33.1%), 2 (1.1%) non-EOC ovarian cancers, 6 (3.3%) gynecologic cancers with metastasis to the ovary and 8 (4.3%) non-gynecologic cancers with metastasis to the ovary. The combination of HE4 and CA125 (i.e. ROMA) achieved an AUC of 91.2% (95% CI: 86.0-96.4) for the detection of EOC vs benign disease. The combination of CA125, HE4, YKL-40, transthyretin, ApoA1, Beta 2 microglobulin, transferrin, LPA and menopausal status achieved the highest AUC of 94.6% (95% CI: 90.1-99.2) but this combination was not significantly better than the HE4 and CA125 combination alone (p = 0.078). CONCLUSIONS: The addition of select further serum biomarkers to HE4 and CA125 does not add to the performance of the dual marker combination for the detection of ovarian cancer.
INTRODUCTION: Management of a woman with a pelvic mass is complicated by difficulty in discriminating malignant from benign disease. Many serum biomarkers have been examined to determine their sensitivity for detecting malignancy. This study was designed to evaluate if the addition of biomarkers to HE4 and CA125, as used in the Risk of Malignancy Algorithm (ROMA), can improve the detection of EOC. METHODS: This was an IRB approved, prospective clinical trial examining serum obtained from women diagnosed with a pelvic mass who subsequently underwent surgery. Serum biomarker levels for CA125, HE4, YKL-40, transthyretin, ApoA1, Beta-2-microglobulin, transferrin, and LPA were measured. Logistic regression analysis was performed for various marker combinations, ROC curves were generated, and the area under the curves (AUCs) were determined. RESULTS: A total of 184 patients met inclusion criteria with a median age of 56 years (Range 20-91). Final pathology revealed there were 103 (56.0%) benign tumors, 4 (2.2%) LMP tumors, 61 EOC (33.1%), 2 (1.1%) non-EOC ovarian cancers, 6 (3.3%) gynecologic cancers with metastasis to the ovary and 8 (4.3%) non-gynecologic cancers with metastasis to the ovary. The combination of HE4 and CA125 (i.e. ROMA) achieved an AUC of 91.2% (95% CI: 86.0-96.4) for the detection of EOC vs benign disease. The combination of CA125, HE4, YKL-40, transthyretin, ApoA1, Beta 2 microglobulin, transferrin, LPA and menopausal status achieved the highest AUC of 94.6% (95% CI: 90.1-99.2) but this combination was not significantly better than the HE4 and CA125 combination alone (p = 0.078). CONCLUSIONS: The addition of select further serum biomarkers to HE4 and CA125 does not add to the performance of the dual marker combination for the detection of ovarian cancer.
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Authors: Richard G Moore; Amy K Brown; M Craig Miller; Steven Skates; W Jeffrey Allard; Thorsten Verch; Margaret Steinhoff; Geralyn Messerlian; Paul DiSilvestro; C O Granai; Robert C Bast Journal: Gynecol Oncol Date: 2007-12-03 Impact factor: 5.482
Authors: Richard George Moore; Negar Khazan; Madeline Ann Coulter; Rakesh Singh; Michael Craig Miller; Umayal Sivagnanalingam; Brent DuBeshter; Cynthia Angel; Cici Liu; Kelly Seto; David Englert; Philip Meachem; Kyu Kwang Kim Journal: Obstet Gynecol Date: 2022-09-08 Impact factor: 7.623