Tumor markers in breast cancer monitoring should be scheduled according toinitial stage and follow-up time: A prospective study on 859 patients

Citation
M. Gion et al., Tumor markers in breast cancer monitoring should be scheduled according toinitial stage and follow-up time: A prospective study on 859 patients, CANCER J, 7(3), 2001, pp. 181-190
Citations number
35
Categorie Soggetti
Oncology,"Onconogenesis & Cancer Research
Journal title
CANCER JOURNAL
ISSN journal
15289117 → ACNP
Volume
7
Issue
3
Year of publication
2001
Pages
181 - 190
Database
ISI
SICI code
1528-9117(200105/06)7:3<181:TMIBCM>2.0.ZU;2-Z
Abstract
PURPOSE The purpose of this study was to identify and standardize optimal decision criteria for maximizing the effectiveness of tumor markers in clinical use during the follow-up of patients operated on for breast cancer. MATERIALS AND METHODS The study was prospectively performed on 859 patients enrolled in 10 instit utions. A total of 13,337 determinations of CEA and 14,330 determinations o f CA15.3 were available. The median number of samples per patient was 16 fo r CEA and 17 for CA15.3. The median follow-up was 7 years. Receiver-operati ng characteristic analysis was used to evaluate the ability of CEA and CA15 .3 to discriminate relapses from patients who had no evidence of disease. T he diagnostic performances of the two markers were evaluated using decision criteria based on both dichotomic cutoff points and dynamic variations amo ng serial samples. RESULTS We selected decision levels corresponding to preset levels of 90% and 99% s pecificity. Patients with CEA and/or CA15.3 levels above the cut-off values were considered positive only if a 1.5-fold increase occurred among the la st sample and the mean of the first three samples. According to the differe nt cut-offs used, specificity ranged from 94% to 99% and sensitivity from 4 8% to 63%. We calculated predictive values using the prevalence expected wi th reference to the stage of primary tumor and the length of follow-up. Pos itive predictive values ranged from 1.6% to 93.7%, and negative predictive values from 88.9% to 100%, according to the clinical scenarios and the deci sion criteria used. The choice of the decision criteria significantly affec ted positive predictive values within each patient subset. Differences rela ted to lime from surgery were still remarkable for every decision criteria (i.e., positive predictive values ranged from 36.6% to 2.8% in node-negativ e patients according to the year of observation, although the same cut-off point was used). DISCUSSION The results of the present prospective study show that different decision c riteria may provide different diagnostic performances for the same tumor ma rker and in the same patient. Therefore, we suggest that different decision criteria be settled and used according to the clinical goals.