Automated immunofluorometric assay for MUC1.
The aim of the present study was to establish a robust, reliable and fully automated immunofluorometric assay for the breast cancer serum marker MUC1. This would further serve as a prototype assay for evaluation of other MUC1 assays based on new antibody combinations. Using time-resolved fluorescence as tracer signal we developed an automated immunofluorometric assay for MUC1 (MUC1 IFMA). This assay was compared with two commercial assays. The CA15-3 EIA (CanAg) which use the same antibodies as the MUC1 IFMA, and the ETI-CA-15-3 K (Sorin) which use the original antibodies defining the CA 15-3 assay. The three assays showed comparable results. The coefficient of variation was below 10% from 9 to 2,400 kU/l for the MUC1 IFMA, from 15 to 250 kU/l for the CA15-3 EIA, and from 25 to 200 kU/l for the ETI-CA-15-3 K assay. At a specificity of 0.94 the overall diagnostic sensitivities for the MUC1-IFMA, CA15-3 EIA and ETI-CA-15-3 K assays were 0.40, 0.37, and 0.38, respectively. When applied to metastatic breast cancer, all assays had sensitivities close to 0.80. There was a close correlation (Spearman rank = 0.99) between results from the new assay and the CA15-3EIA. The new automated assay was not strictly immunometric as we could not achieve conditions where solid phase or tracer antibodies were in apparent excess. However, the assay performed well at a wide range of assay conditions. The automation, which minimizes imprecision in pipetting and handling of samples, and the high capacity of the AutoDELFIA instrument enabling measurement of all samples in a single run, were important aspects for establishing a reliable assay. The principle of the new automated immunofluorometric assay will be used as a rapid and reliable evaluation of a wide range of monoclonal antibody combinations in our search for the optimal MUC1 assay. This new automated immunofluorometric assay will be useful in the rapid and reliable evaluation of a wide range of monoclonal antibody combinations in our search for the optimal MUC1 assay.
Central Laboratory, Norwegian Radium Hospital, Oslo, Norway.
L F
LF
Norum
O
O
Nilsson
K
K
Nustad
D000328:Adult; D000368:Aged; D000911:Antibodies, Monoclonal; D001331:Automation; D001943:Breast Neoplasms / Q000097:blood* / Q000175:diagnosis; D005260:Female; D005470:Fluorometry / Q000379:methods*; D006801:Humans; D007118:Immunoassay / Q000379:methods*; D008875:Middle Aged; D018396:Mucin-1 / Q000032:analysis* / Q000276:immunology; D012680:Sensitivity and Specificity
D000911:Antibodies, Monoclonal; D018396:Mucin-1