A novel proteomic biomarker panel as a diagnostic tool for patients with ovarian cancer

TY - JOUR

T1 - A novel proteomic biomarker panel as a diagnostic tool for patients with ovarian cancer

AU - Høgdall, Claus

AU - Fung, Eric T

AU - Christensen, Ib J

AU - Nedergaard, Lotte

AU - Engelholm, Svend A

AU - Petri, Anette L

AU - Risum, Signe

AU - Lundvall, Lene

AU - Yip, Christine

AU - Pedersen, Anette T

AU - Hartwell, Dorthe

AU - Lomas, Lee

AU - Høgdall, Estrid V S

N1 - Copyright © 2011 Elsevier Inc. All rights reserved.

PY - 2011/11

Y1 - 2011/11

N2 - Background: Previous reports have shown that the proteomic markers apolipoprotein A1, hepcidin, transferrin, inter-alpha trypsin IV internal fragment, transthyretin, connective-tissue activating protein 3 and beta-2 microglobulin may discriminate between a benign pelvic mass and ovarian cancer (OC). The aim was to determine if these serum proteomic biomarkers alone as well as in combination with age and serum CA125, could be helpful in triage of women with a pelvic mass. Methods: We included prospectively 144 patients diagnosed with (OC), 40 with a borderline tumor and 469 with a benign tumor. Surface-enhanced laser desorption/ionization time of flight-mass spectrometry was used for analyses. The Danish Index (DK-Index) based on the proteomic data, age and CA125 was developed using logistic regression models. Results: Multivariate logistic regression analysis demonstrated that the selected proteomic markers, CA125 and age were independent predictors of OC and the combination of these is proposed as the DK-index. A sensitivity (SN) of 99% had a specificity (SP) of 57% for DK-index and 49% for CA125. At a SN of 95%, the SP increased to 81% for DK-index compared to 68% for CA125 alone. For stage I+II the SP was 58% for DK-index and 49% for CA125. For stage III+IV the corresponding values were 94% and 86% respectively. Conclusions: The DK-index warrants further evaluation in independent cohorts.

AB - Background: Previous reports have shown that the proteomic markers apolipoprotein A1, hepcidin, transferrin, inter-alpha trypsin IV internal fragment, transthyretin, connective-tissue activating protein 3 and beta-2 microglobulin may discriminate between a benign pelvic mass and ovarian cancer (OC). The aim was to determine if these serum proteomic biomarkers alone as well as in combination with age and serum CA125, could be helpful in triage of women with a pelvic mass. Methods: We included prospectively 144 patients diagnosed with (OC), 40 with a borderline tumor and 469 with a benign tumor. Surface-enhanced laser desorption/ionization time of flight-mass spectrometry was used for analyses. The Danish Index (DK-Index) based on the proteomic data, age and CA125 was developed using logistic regression models. Results: Multivariate logistic regression analysis demonstrated that the selected proteomic markers, CA125 and age were independent predictors of OC and the combination of these is proposed as the DK-index. A sensitivity (SN) of 99% had a specificity (SP) of 57% for DK-index and 49% for CA125. At a SN of 95%, the SP increased to 81% for DK-index compared to 68% for CA125 alone. For stage I+II the SP was 58% for DK-index and 49% for CA125. For stage III+IV the corresponding values were 94% and 86% respectively. Conclusions: The DK-index warrants further evaluation in independent cohorts.

U2 - 10.1016/j.ygyno.2011.07.018

DO - 10.1016/j.ygyno.2011.07.018

M3 - Journal article

SN - 0090-8258

VL - 123

SP - 308

EP - 313

JO - Gynecologic Oncology

JF - Gynecologic Oncology

IS - 2

ER -