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.
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.
Authors: Antonieta Medina-Lara; Bogdan Grigore; Ruth Lewis; Jaime Peters; Sarah Price; Paolo Landa; Sophie Robinson; Richard Neal; William Hamilton; Anne E Spencer Journal: Health Technol Assess Date: 2020-11 Impact factor: 4.014
Authors: Simon Kaja; Jill D Hilgenberg; Julie L Collins; Anna A Shah; Debra Wawro; Shelby Zimmerman; Robert Magnusson; Peter Koulen Journal: J Biomed Opt Date: 2012-08 Impact factor: 3.170
Authors: John F Timms; Elif Arslan-Low; Musarat Kabir; Jenny Worthington; Stephane Camuzeaux; John Sinclair; Joanna Szaub; Babak Afrough; Vladimir N Podust; Evangelia-Ourania Fourkala; Myriam Cubizolles; Florian Kronenberg; Eric T Fung; Aleksandra Gentry-Maharaj; Usha Menon; Ian Jacobs Journal: Proteomics Clin Appl Date: 2014-11-10 Impact factor: 3.494