We sought to establish a rapid and reliable RT-PCR approach for detection and quantification of BCR-ABL fusion transcripts using the LightCycler technology. This device combines rapid thermocycling with online detection of PCR product formation and is based on the fluorescence resonance energy transfer (FRET) between two adjacent hybridization probes carrying donor and acceptor fluorophores. A pair of probes was designed that was complementary to ABL exon 3, thus enabling detection of all known BCR-ABL variants and also normal ABL as an internal control. Conditions were established to amplify less than 10 target molecules/reaction and to detect one CML cell in 10 5 cells from healthy donors. To determine the utility of the assay, we quantified BCR-ABL and ABL transcripts in 254 samples (222 peripheral blood, 32 bone marrow) from 120 patients with CML after therapy with IFN-␣ (n ؍ 219), allogeneic BMT (n ؍ 17), chemotherapy (n ؍ 11), or at diagnosis (n ؍ 7). The level of residual disease in the 245 BCR-ABL positive specimens was expressed as the ratio of BCR-ABL/ABL. This ratio was compared to results obtained by three established methods from contemporaneous specimens. A highly significant correlation was seen between the BCR-ABL/ABL ratios determined by the LightCycler and (1) the BCR-ABL/ABL ratios obtained by nested competitive RT-PCR (n ؍ 201, r ؍ 0.90, P Ͻ 0.0001); (2) the proportion of Philadelphia chromosome positive metaphases determined by cytogenetics (n ؍ 81, P Ͻ 0.0001); and (3) the BCR ratio determined by Southern blot analysis (n ؍ 122, P Ͻ 0.0001). We conclude that real-time PCR with hybridization probes is a reliable and sensitive method to monitor CML patients after therapy. The major advantages of the methodology are (1) amplification and product analysis are performed in the same reaction vessel, avoiding the risk of contamination; (2) the results are standardized by the quantification of housekeeping genes; and (3) the complete PCR analysis takes less than 60 min.
Several new therapeutic approaches for the treatment of monoclonal B cell lymphomas are currently being investigated. In parallel with new therapeutic modalities, more sensitive diagnostic methods are needed. These methods should be highly sensitive in detecting very low amounts of malignant cells and should be specific for the malignant clone. In addition, these methods should allow the quantification of residual tumor cells. In this study a new real-time polymerase chain reaction (LightCycler) was evaluated to quantify residual tumor cells in monoclonal B cell malignancies. This technology combines the advantages of rapid cycling PCR with the online detection of PCR products using fluorescent dyes. Our assay is based on immunoglobulin heavy chain (IgVH)-specific PCR with allelespecific primers complementary to hypervariable CDRII and CDRIII regions. A set of framework region III (FRIII)-specific hybridization probes was used for detection of the specific amplification product, and IgVH copy number was quantified with the cloned IgVH sequence as an external standard. The approach was evaluated with the Hodgkin lymphoma cell line L428 in order to quantify L428 dilutions. L428 cells mixed with peripheral blood mononuclear cells (PBMNCs) were detected and quantified with a sensitivity of one cell within 1 × 10 5 PBMNCs. Sample DNA from the peripheral blood and from the bone marrow of two patients with B-CLL was analyzed in the new set up at different time points before and after therapy. Statistically significant changes in IgVH copy numbers were documented in both patients. We conclude that this technology offers an additional opportunity to detect and quantify residual tumor cells in B-CLL over several log steps with a high sensitivity. The kinetics of residual tumor cell counts in B-CLL can be analyzed by this method. Leukemia (2000) 14, 754-766.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.