摘要

To test the qualities of two assays in the same laboratory on the same tumours, a single-point dextran-coated charcoal radioligand binding assay (RLA-DCC) and the Abbott enzyme immunoassay (EIA) were used to perform oestrogen receptor determinations on cytosols from 1841 breast cancers over a 2-year period. Statistical analysis of the data was performed by the Passing-Bablock linear regression technique. The final regression curve between EIA (y) and RLA-DCC (x) yielded y = 1.187 x fmol/mg of protein. However, a high variability in this correlation was observed from 1986 to 1988. This variability could be explained by calibration problems in the immunoassay kits and changes in our technical team. The binding assay appears to be more sensitive to the technicians' experience than the immunoassay. Other technical points are discussed, particularly cytosol preparation and KCl presence or absence in the homogenisation buffer. Finally, the Passing-Bablock and the least squares regression procedures are compared. The conditions allowing optimal correlation and routine determination reliability are defined and the correlation variability is discussed.

译文

为了在同一实验室对同一肿瘤进行两种检测的质量测试，单点葡聚糖涂层木炭放射性配体结合检测 (RLA-DCC) 和雅培酶免疫测定 (EIA) 用于在两年时间内对 1841年乳腺癌的胞质进行雌激素受体测定。数据的统计分析通过 Passing-Bablock 线性回归技术进行。EIA (y) 和 RLA-DCC (x) 之间的最终回归曲线得出 y = 1.187 × fmol/mg 的蛋白质。然而，从 1986年到 1988年，观察到这种相关性的高变异性。这种可变性可以通过免疫测定试剂盒中的校准问题和我们技术团队中的变化来解释。结合试验似乎比免疫测定对技术人员的经验更敏感。讨论了其他技术要点，特别是胞质溶胶制备和 KCl 在均质缓冲液中的存在与否。最后，比较了 Passing-Bablock 和最小二乘回归程序。定义了允许最佳相关性和常规测定可靠性的条件，并讨论了相关性可变性。