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Leukemia & Lymphoma Volume 56, 2015 - Issue 9
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Letters to the Editor

Using digital polymerase chain reaction to detect minimal residual disease in myeloma by identifying FGFR3 up-regulation

Simon McAuliffeInstitute of Haematology, Royal Prince Alfred Hospital, Sydney, Australia;School of Medical and Molecular Biosciences, University of Technology, Sydney, Australia
,
Ross BrownInstitute of Haematology, Royal Prince Alfred Hospital, Sydney, AustraliaCorrespondence[email protected]
,
Alberto CatalanoInstitute of Haematology, Royal Prince Alfred Hospital, Sydney, Australia
,
P. Joy HoInstitute of Haematology, Royal Prince Alfred Hospital, Sydney, Australia
,
Najah NassifSchool of Medical and Molecular Biosciences, University of Technology, Sydney, Australia
,
Narelle WoodlandSchool of Medical and Molecular Biosciences, University of Technology, Sydney, Australia
,
Derek HartDendritic Cell Biology and Therapeutics Group, ANZAC Research Institute, Concord Hospital, Sydney, Australia
,
Claire WeatherburnInstitute of Haematology, Royal Prince Alfred Hospital, Sydney, Australia
,
Shihong YangInstitute of Haematology, Royal Prince Alfred Hospital, Sydney, Australia
,
Hayley SuenInstitute of Haematology, Royal Prince Alfred Hospital, Sydney, Australia;School of Medical and Molecular Biosciences, University of Technology, Sydney, Australia
,
Cheryl PaulInstitute of Haematology, Royal Prince Alfred Hospital, Sydney, Australia
,
Douglas JoshuaInstitute of Haematology, Royal Prince Alfred Hospital, Sydney, Australia
&
John GibsonInstitute of Haematology, Royal Prince Alfred Hospital, Sydney, Australia
 show all
Pages 2714-2716 | Received 29 Oct 2014, Accepted 23 Dec 2014, Published online: 17 Feb 2015

References

  • Martinez-Lopez J, Lahuerta JJ, Pepin F, et al. Prognostic value of deep sequencing method for minimal residual disease detection in multiple myeloma. Blood 2014;123(20):3073–9.
  • Paiva B, Vidriales MB, Cervero J, et al. Multiparameter flow cytometric remission is the most relevant prognostic factor for multiple myeloma patients who undergo autologous stem cell transplantation. Blood 2008;112:4017–4023.
  • Puig N, Sarasquete ME, Balanzategui A, et al. Critical evaluation of ASO RQ-PCR for minimal residual disease evaluation in multiple myeloma. A comparative analysis with flow cytometry. Leukemia 2014;28:391–397.
  • Silvennoinen R, Lundan T, Kairisto V, et al. Comparative analysis of minimal residual disease detection by multiparameter flow cytometry and enhanced ASO RQ-PCR in multiple myeloma. Blood Cancer J 2014;4:e250–e257.
  • Puig N, Sarasquete M, Balanzategui A, et al. Critical evaluation of ASO RQ-PCR for minimal residual disease evaluation in multiple myeloma. A comparative analysis with flow cytometry. Leukemia 2014;28:391–398.
  • Prideaux SM, O’Brien CE, Chevassut TJ. The genetic architecture of multiple myeloma. Adv Hematol 2014;2014:335–348.
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  • Pohl G, Shih M. Principle and applications of digital PCR. Expert Rev Mol Diagn 2004;4:41–47.
  • Zhu Q, Qiu L, Yu B, et al. Digital PCR on an integrated self-priming compartmentalization chip. Lab Chip 2013;14:1176–1185.

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