Romain S, Dussert C, Martin P M
Laboratoire d'Oncologie Biologique-Biopathologie Tissulaire, Faculté de Médecine de Marseille-Secteur Nord, France.
Eur J Cancer. 1991;27(6):715-20. doi: 10.1016/0277-5379(91)90172-a.
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.
为了在同一实验室对相同肿瘤测试两种检测方法的质量,在两年时间里,使用单点葡聚糖包被活性炭放射配体结合分析(RLA-DCC)和雅培酶免疫分析(EIA)对1841例乳腺癌的胞液进行雌激素受体测定。数据的统计分析采用帕辛-巴布洛赫线性回归技术。EIA(y)和RLA-DCC(x)之间的最终回归曲线为y = 1.187x fmol/mg蛋白质。然而,1986年至1988年期间观察到这种相关性存在很大差异。这种差异可以用免疫分析试剂盒的校准问题以及我们技术团队的变动来解释。结合分析似乎比免疫分析对技术人员的经验更敏感。还讨论了其他技术要点,特别是胞液制备以及匀浆缓冲液中氯化钾的有无。最后,对帕辛-巴布洛赫回归程序和最小二乘回归程序进行了比较。确定了实现最佳相关性和常规测定可靠性的条件,并对相关性差异进行了讨论。