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Monitoring performance of progression assessment criteria for cancer antigen 125 among patients with ovarian cancer compared by computer simulation

    Suher Othman Abu Hassan

    *Author for correspondence:

    E-mail Address: suher.othman.hussein.rashid.abu.hassaan@regionh.dk

    Department of Clinical Biochemistry, North Zealand Hospital Hospital, University of Copenhagen, Copenhagen, Denmark

    ,
    Per Hyltoft Petersen

    Department of Clinical Biochemistry, North Zealand Hospital Hospital, University of Copenhagen, Copenhagen, Denmark

    Norwegian Quality Improvement Primary Care Laboratories (NOKLUS), Section for General Practice, University of Bergen, Bergen, Norway

    ,
    Flemming Lund

    Department of Clinical Biochemistry, North Zealand Hospital Hospital, University of Copenhagen, Copenhagen, Denmark

    ,
    Dorte L Nielsen

    Department of Oncology, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark

    ,
    Malgorzata K Tuxen

    Department of Oncology, Herlev Hospital, University of Copenhagen, Copenhagen, Denmark

    &
    György Sölétormos

    Department of Clinical Biochemistry, North Zealand Hospital Hospital, University of Copenhagen, Copenhagen, Denmark

    Published Online:https://doi.org/10.2217/bmm.15.47

    Background: Cancer antigen 125 (CA125) is used to monitor tumor burden among patients with advanced serous epithelial ovarian cancer. The purpose is to compare the monitoring performance of seven previously proposed criteria. Materials & methods: The CA125 assessment criteria were applied to simulated datasets. We investigated the ability to provide information on CA125 increments as well as their robustness against false positive signals. Results: For baseline concentrations above cut-off, the best performing criterion was based on a confirmed increment ≥2.5-times the nadir concentration. For baseline concentrations below cut-off, the best performing criterion was based on a confirmed increment from ≤ cut-off to >two-times cut-off. Discussion: Computer simulation models may be useful for a preclinical validation of criteria to be investigated in clinical trials.

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