Improved IgH-based MRD Detection By Using Droplet Digital PCR: a Comparison With Real Time Quantitative PCR in MCL and MM

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Authors

DRANDI Daniela BEŠŠE Lenka DANI Nadia FERRERO Simone MONITILLO Luigia MANTOAN Barbara GENUARDI Elisa BARBERO Daniela GAMBELLA Manuela BARBERIO Davide GHIONE Paola GUARONA Guglielmo SARACI Elona OMEDE Paola HÁJEK Roman CORTELAZZO Sergio PALUMBO Antonio BOCCADORO Mario INGHIRAMI Giorgio LADETTO Marco

Year of publication 2013
Type Conference abstract
MU Faculty or unit

Faculty of Medicine

Citation
Description Minimal residual disease (MRD) detection is a well defined prognostic tool for response evaluation in hematological malignancies. Real time quantitative PCR (RQ-PCR) has become the settled and standardized method for MRD assessment in lymphoid disorders (van der Velden et al., Leukemia 2007). However, RQ-PCR based MRD detection relies on a relative quantification approach, since it requires a reference standard curve and an appropriate housekeeping gene for the normalization. Droplet Digital PCR (DD-PCR), applying the principle of limiting dilution of DNA and single molecule detection, allows reliable absolute tumor burden quantification at molecular level. In this study we performed a comparison of immunoglobulin heavy chain gene based MRD detection (IgH-MRD) performed by RQ-PCR and DD-PCR, to assess whether DD-PCR could overcome some RQ-PCR limitation and achieve superior sensitivity, robustness and accuracy.
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