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Published in: International Journal of Hematology 2/2018

01-02-2018 | Original Article

Quantification of Wilms’ tumor 1 mRNA by digital polymerase chain reaction

Authors: Yuki Koizumi, Daisuke Furuya, Teruo Endo, Kouichi Asanuma, Nozomi Yanagihara, Satoshi Takahashi

Published in: International Journal of Hematology | Issue 2/2018

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Abstract

Wilms’ tumor 1 (WT1) is overexpressed in various hematopoietic tumors and widely used as a marker of minimal residual disease. WT1 mRNA has been analyzed using quantitative real-time polymerase chain reaction (real-time PCR). In the present study, we analyzed 40 peripheral blood and bone marrow samples obtained from cases of acute myeloid leukemia, acute lymphoblastic leukemia, and myelodysplastic syndrome at Sapporo Medical University Hospital from April 2012 to January 2015. We performed quantification of WT1 was performed using QuantStudio 3D Digital PCR System (Thermo Fisher Scientific‎) and compared the results between digital PCR and real-time PCR technology. The correlation between digital PCR and real-time PCR was very strong (R = 0.99), and the detection limits of the two methods were equivalent. Digital PCR was able to accurately detect lower WT levels compared with real-time PCR. Digital PCR technology can thus be utilized to predict WT1/ABL1 expression level accurately and should thus be useful for diagnosis or the evaluation of drug efficiency in patients with leukemia.
Literature
1.
go back to reference Ogawa H, Tamaki H, Ikegame K, Soma T, Kawakami M, Tsuboi A, et al. The usefulness of monitoring WT1 gene transcripts for the prediction and management of relapse following allogeneic stem cell transplantation in acute type leukemia. Blood. 2003;101:1698–704.CrossRefPubMed Ogawa H, Tamaki H, Ikegame K, Soma T, Kawakami M, Tsuboi A, et al. The usefulness of monitoring WT1 gene transcripts for the prediction and management of relapse following allogeneic stem cell transplantation in acute type leukemia. Blood. 2003;101:1698–704.CrossRefPubMed
2.
go back to reference Cilloni D, Renneville A, Hermitte F, Hills RK, Daly S, Jovanovic JV, et al. Real-time quantitative polymerase chain reaction detection of minimal residual disease by standardized WT1 assay to enhance risk stratification in acute myeloid leukemia: a European LeukemiaNet study. J Clin Oncol. 2009;27:5195–201.CrossRefPubMed Cilloni D, Renneville A, Hermitte F, Hills RK, Daly S, Jovanovic JV, et al. Real-time quantitative polymerase chain reaction detection of minimal residual disease by standardized WT1 assay to enhance risk stratification in acute myeloid leukemia: a European LeukemiaNet study. J Clin Oncol. 2009;27:5195–201.CrossRefPubMed
3.
go back to reference Cheever MA, Allison JP, Ferris AS, Finn OJ, Hastings BM, Hecht TT, et al. The prioritization of cancer antigens: a national cancer institute pilot project for the acceleration of translational research. Clin Cancer Res. 2009;15:5323–37.CrossRefPubMedPubMedCentral Cheever MA, Allison JP, Ferris AS, Finn OJ, Hastings BM, Hecht TT, et al. The prioritization of cancer antigens: a national cancer institute pilot project for the acceleration of translational research. Clin Cancer Res. 2009;15:5323–37.CrossRefPubMedPubMedCentral
4.
go back to reference Hindson CM, Chevillet JR, Briggs HA, Gallichotte EN, Ruf IK, Hindson BJ, et al. Absolute quantification by droplet digital PCR versus analog real-time PCR. Nat Methods. 2013;10:1003–5.CrossRefPubMedPubMedCentral Hindson CM, Chevillet JR, Briggs HA, Gallichotte EN, Ruf IK, Hindson BJ, et al. Absolute quantification by droplet digital PCR versus analog real-time PCR. Nat Methods. 2013;10:1003–5.CrossRefPubMedPubMedCentral
5.
go back to reference Goh HG, Lin M, Fukushima T, Saglio G, Kim D, Choi SY, et al. Sensitive quantitation of minimal residual disease in chronic myeloid leukemia using nanofluidic digital polymerase chain reaction assay. Leuk Lymphoma. 2011;52:896–904.CrossRefPubMed Goh HG, Lin M, Fukushima T, Saglio G, Kim D, Choi SY, et al. Sensitive quantitation of minimal residual disease in chronic myeloid leukemia using nanofluidic digital polymerase chain reaction assay. Leuk Lymphoma. 2011;52:896–904.CrossRefPubMed
6.
go back to reference Jennings LJ, George D, Czech J, Yu M, Joseph L. Detection and quantification of BCR-ABL1 fusion transcripts by droplet digital PCR. J Mol Diagn. 2014;16:174–9.CrossRefPubMed Jennings LJ, George D, Czech J, Yu M, Joseph L. Detection and quantification of BCR-ABL1 fusion transcripts by droplet digital PCR. J Mol Diagn. 2014;16:174–9.CrossRefPubMed
7.
go back to reference Iacobucci I, Lonetti A, Venturi C, Ferrari A, Papayannidis C, Ottaviani E, et al. Use of a high sensitive nanofluidic array for the detection of rare copies of BCR-ABL1 transcript in patients with Philadelphia-positive acute lymphoblastic leukemia in complete response. Leuk Res. 2014;38:581–5.CrossRefPubMed Iacobucci I, Lonetti A, Venturi C, Ferrari A, Papayannidis C, Ottaviani E, et al. Use of a high sensitive nanofluidic array for the detection of rare copies of BCR-ABL1 transcript in patients with Philadelphia-positive acute lymphoblastic leukemia in complete response. Leuk Res. 2014;38:581–5.CrossRefPubMed
8.
go back to reference Inoue K, Sugiyama H, Ogawa H, Nakagawa M, Yamagami T, Miwa H, et al. WT1 as a new prognostic factor and a new marker for the detection of minimal residual disease in acute leukemia. Blood. 1994;84:3071–9.PubMed Inoue K, Sugiyama H, Ogawa H, Nakagawa M, Yamagami T, Miwa H, et al. WT1 as a new prognostic factor and a new marker for the detection of minimal residual disease in acute leukemia. Blood. 1994;84:3071–9.PubMed
9.
go back to reference Van Dijk JP, Knops GH, Van De Locht LT, Menke AL, Jansen JH, Mensink EJ, et al. Abnormal WT1 expression in the CD34-negative compartment in myelodysplastic bone marrow. Br J Haematol. 2002;118:1027–33.CrossRefPubMed Van Dijk JP, Knops GH, Van De Locht LT, Menke AL, Jansen JH, Mensink EJ, et al. Abnormal WT1 expression in the CD34-negative compartment in myelodysplastic bone marrow. Br J Haematol. 2002;118:1027–33.CrossRefPubMed
10.
go back to reference Soverini S, Rosti G, Baccarani M, Martinelli G. Molecular monitoring. Curr Hematol Malig Rep. 2014;9:1–8.CrossRefPubMed Soverini S, Rosti G, Baccarani M, Martinelli G. Molecular monitoring. Curr Hematol Malig Rep. 2014;9:1–8.CrossRefPubMed
11.
go back to reference Nakamae H, Fujisawa S, Ogura M, Uchida T, Onishi Y, Taniwaki M, et al. Dasatinib versus imatinib in Japanese patients with newly diagnosed chronic phase chronic myeloid leukemia: a subanalysis of the DASISION 5-year final report. Int J Hematol. 2017;105:792–804.CrossRefPubMed Nakamae H, Fujisawa S, Ogura M, Uchida T, Onishi Y, Taniwaki M, et al. Dasatinib versus imatinib in Japanese patients with newly diagnosed chronic phase chronic myeloid leukemia: a subanalysis of the DASISION 5-year final report. Int J Hematol. 2017;105:792–804.CrossRefPubMed
12.
go back to reference Kolostova K, Pinkas M, Jakabova A, Pospisilova E, Svobodova P, Spicka J, et al. Molecular characterization of circulating tumor cells in ovarian cancer. Am J Cancer Res. 2016;6:973–80.PubMedPubMedCentral Kolostova K, Pinkas M, Jakabova A, Pospisilova E, Svobodova P, Spicka J, et al. Molecular characterization of circulating tumor cells in ovarian cancer. Am J Cancer Res. 2016;6:973–80.PubMedPubMedCentral
Metadata
Title
Quantification of Wilms’ tumor 1 mRNA by digital polymerase chain reaction
Authors
Yuki Koizumi
Daisuke Furuya
Teruo Endo
Kouichi Asanuma
Nozomi Yanagihara
Satoshi Takahashi
Publication date
01-02-2018
Publisher
Springer Japan
Published in
International Journal of Hematology / Issue 2/2018
Print ISSN: 0925-5710
Electronic ISSN: 1865-3774
DOI
https://doi.org/10.1007/s12185-017-2336-8

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