Sandberg Yorick, van Gastel-Mol Ellen J, Verhaaf Brenda, Lam King H, van Dongen Jacques J M, Langerak Anton W
Department of Immunology, Erasmus MC, University Medical Center Rotterdam, Dr. Molewaterplein 50, 3015 GE Rotterdam, The Netherlands.
J Mol Diagn. 2005 Oct;7(4):495-503. doi: 10.1016/S1525-1578(10)60580-6.
To establish the most sensitive and efficient strategy of clonality diagnostics via immunoglobulin and T-cell receptor gene rearrangement studies in suspected lymphoproliferative disorders, we evaluated 300 samples (from 218 patients) submitted consecutively for routine diagnostics. All samples were studied using the BIOMED-2 multiplex polymerase chain reaction (PCR) protocol. In 176 samples, Southern blot (SB) data were also available, and the two types of molecular results were compared. Results of PCR and SB analysis of both T-cell receptor and immunoglobulin loci were concordant in 85% of samples. For discordant results, PCR results were more consistent with the final diagnosis in 73% of samples. No false-negative results were obtained by PCR analysis. In contrast, SB analysis failed to detect clonality in a relatively high number of samples, mainly in cases of low tumor burden. We conclude that the novel BIOMED-2 multiplex PCR strategy is of great value in diagnosing patients with suspected B- and T-cell proliferations. Because of its higher speed, efficiency, and sensitivity, it can reliably replace SB analysis in clonality diagnostics in a routine laboratory setting. Just as with SB results, PCR results should always be interpreted in the context of clinical, immunophenotypical, and histopathological data.
为了通过免疫球蛋白和T细胞受体基因重排研究,在疑似淋巴增殖性疾病中建立最敏感、高效的克隆性诊断策略,我们评估了连续提交用于常规诊断的300份样本(来自218名患者)。所有样本均采用BIOMED-2多重聚合酶链反应(PCR)方案进行研究。在176份样本中,也有Southern印迹(SB)数据,并对两种分子结果进行了比较。T细胞受体和免疫球蛋白基因座的PCR和SB分析结果在85%的样本中一致。对于不一致的结果,73%的样本中PCR结果与最终诊断更一致。PCR分析未获得假阴性结果。相比之下,SB分析在相对较多的样本中未能检测到克隆性,主要是在肿瘤负荷较低的病例中。我们得出结论,新型BIOMED-2多重PCR策略在诊断疑似B细胞和T细胞增殖患者中具有重要价值。由于其更高的速度、效率和敏感性,它可以在常规实验室环境中可靠地替代SB分析进行克隆性诊断。与SB结果一样,PCR结果也应始终结合临床、免疫表型和组织病理学数据进行解释。