Early diagnosis of breast cancer dissemination by tumor markers follow-up and method of prediction.
A mathematical model of prediction of progression was tested in patients with breast cancer employing long-term monitoring of tumor markers CEA, CA 15-3, MCA and TPA, erythrocyte sedimentation rate (FW), and the enzymes gamma-glutamyl transferase (GGT), alkaline phosphatase (ALP) and lactate dehydrogenase (LD) in serum. At the same time, specificity, sensitivity, lead time and positive predictive value were evaluated along with false positivity for all these parameters and their combinations. A model was proposed for the follow-up of patients with breast cancer after the completion of basic therapy.
Nekulová
M
M
Masaryk Memorial Cancer Institute, Brno, Czech Republic.
Simícková
M
M
Pecen
L
L
Eben
K
K
Vermousek
I
I
Stratil
P
P
Cernoch
M
M
Lang
B
B
D015295:Antigens, Tumor-Associated, Carbohydrate / Q000032:analysis; D014408:Biomarkers, Tumor / Q000032:analysis*; D001943:Breast Neoplasms / Q000175:diagnosis*; D002272:Carcinoembryonic Antigen / Q000032:analysis; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D008433:Mathematics; D008875:Middle Aged; D009362:Neoplasm Metastasis / Q000175:diagnosis; D012372:ROC Curve
D015295:Antigens, Tumor-Associated, Carbohydrate; D014408:Biomarkers, Tumor; D002272:Carcinoembryonic Antigen