Immunoglobulin and T-Cell Receptor Loci by LightCycler in Acute Lymphoblastic Leukemia Using Rearranged Rapid and Reliable Quantification of Minimal Residual Disease

The detection of minimal residual disease (MRD) using immunoglobulin and T-cell receptor (TCR) rearrangements as PCR targets provides important prognostic information on the in vivo effectiveness of treatment in acute lymphoblastic leukemia (ALL). Here we report on the real-time quantification of MRD in 25 ALL patients using LightCycler technology. We designed and adapted allele-specific oligonucleotide (ASO)-PCR protocols that enabled the detection of >90% of the IGH, IGK, TCRD, and TCRG rearrangements observed in ALL patients. In all patients, at least two suitable markers could be identified (average, 3.4 markers/patient). We applied ASO-PCR with 35 immunoglobulin and TCR rearrangements (11 IGH, 6 IGK, 12 TCRG, and 6 TCRD) and compared the sensitivity and practicability of the LightCycler strategy with conventional ASO-PCR on a block thermocycler followed by quantification with gel electrophoresis. The LightCycler measured leukemia-specific PCR products at each cycle (real-time) by staining the PCR product with the DNA-binding dye SYBR Green I. LightCycler technology showed a higher sensitivity than the conventional method in eight cases, whereas the sensitivity of the other markers matched exactly. The detection level varied between 10 and 10 leukemic cells. Furthermore, we determined the MRD status of 27 bone marrow follow-up samples from 15 ALL patients by both methods and revealed comparable results. However, the LightCycler also allowed accurate quantification in samples containing relatively high levels (>10) of residual leukemia cells. The conventional ASO-PCR technique comprises various laborious and time-consuming PCR experiments and post-PCR steps to determine the number of cycles with the optimal linearity and sensitivity of the PCR. Real-time quantification through LightCycler technology obviates these post-PCR steps, provides the highest sensitivity via software analysis, and therefore represents a rapid, reliable, sensitive, and cost-effective technique for the routine monitoring of MRD in ALL patients.