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

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  • 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.
  • 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. (en)
Title
  • Improved IgH-based MRD Detection By Using Droplet Digital PCR: a Comparison With Real Time Quantitative PCR in MCL and MM
  • Improved IgH-based MRD Detection By Using Droplet Digital PCR: a Comparison With Real Time Quantitative PCR in MCL and MM (en)
skos:prefLabel
  • Improved IgH-based MRD Detection By Using Droplet Digital PCR: a Comparison With Real Time Quantitative PCR in MCL and MM
  • Improved IgH-based MRD Detection By Using Droplet Digital PCR: a Comparison With Real Time Quantitative PCR in MCL and MM (en)
skos:notation
  • RIV/00216224:14110/13:00073962!RIV15-GA0-14110___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GAP304/10/1395)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
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  • 79288
http://linked.open...ai/riv/idVysledku
  • RIV/00216224:14110/13:00073962
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • multiple myeloma; non-Hodgkin lymphoma; Minimal residual disease (MRD); PCR; Quantitative molecular analysis (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [93466308B05D]
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
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http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Hájek, Roman
  • Palumbo, Antonio
  • Cortelazzo, Sergio
  • Boccadoro, Mario
  • Barberio, Davide
  • Barbero, Daniela
  • Bešše, Lenka
  • Dani, Nadia
  • Drandi, Daniela
  • Ferrero, Simone
  • Gambella, Manuela
  • Genuardi, Elisa
  • Ghione, Paola
  • Guarona, Guglielmo
  • Inghirami, Giorgio
  • Ladetto, Marco
  • Mantoan, Barbara
  • Monitillo, Luigia
  • Omedè, Paola
  • Saraci, Elona
http://localhost/t...ganizacniJednotka
  • 14110
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