Literature DB >> 24630366

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.

Ilaria Iacobucci1, Annalisa Lonetti2, Claudia Venturi1, Anna Ferrari1, Cristina Papayannidis1, Emanuela Ottaviani1, Maria Chiara Abbenante1, Stefania Paolini1, Paola Bresciani3, Leonardo Potenza3, Sarah Parisi1, Federica Cattina4, Simona Soverini1, Domenico Russo5, Mario Luppi3, Giovanni Martinelli6.   

Abstract

Monitoring of minimal residual disease (MRD) by quantification of BCR-ABL1 transcript levels has become a main part of the management of patients with BCR-ABL1-positive acute lymphoblastic leukemia (ALL) in treatment with tyrosine kinase inhibitors (TKIs). The failure to achieve molecular negativity shortly after starting TKI has been demonstrated to be predictive of relapse, suggesting that an accurate measurement of low BCR-ABL1 levels may have a role in preventing hematological relapse. Despite the big efforts made by many European laboratories within the European Study Group, at the time of writing a standardized procedure to quantify and express results is still missing for BCR-ABL1-positive ALL. In this study, in order to detect with high sensitivity low levels of BCR-ABL1 transcripts, we used a new technology and a new molecular approach based on microfluidic digital polymerase chain reaction (dPCR) using Taqman chemistry and we compared obtained results with those generated by the conventional method based on reverse transcriptase PCR reaction (RQ-PCR) for BCR-ABL1 and total ABL1, with TaqMan chemistry and with Applied Biosystems instrument. We demonstrated the dPCR is high-sensitive (able to detect a single copy of BCR-ABL1) and reliable (results are comparable to those obtained by BCR-ABL1 quantification with conventional technology), allowing an accurate monitoring of BCR-ABL1-positive ALL patients in complete remission.
Copyright © 2014. Published by Elsevier Ltd.

Entities:  

Keywords:  BCR-ABL1; Leukemia; Minimal residual disease

Mesh:

Substances:

Year:  2014        PMID: 24630366     DOI: 10.1016/j.leukres.2014.02.005

Source DB:  PubMed          Journal:  Leuk Res        ISSN: 0145-2126            Impact factor:   3.156


  8 in total

Review 1.  Secondary mutations as mediators of resistance to targeted therapy in leukemia.

Authors:  Naval Daver; Jorge Cortes; Farhad Ravandi; Keyur P Patel; Jan A Burger; Marina Konopleva; Hagop Kantarjian
Journal:  Blood       Date:  2015-03-20       Impact factor: 22.113

2.  How I treat Philadelphia chromosome-positive acute lymphoblastic leukemia.

Authors:  Farhad Ravandi
Journal:  Blood       Date:  2018-11-15       Impact factor: 22.113

3.  Quantification of Wilms' tumor 1 mRNA by digital polymerase chain reaction.

Authors:  Yuki Koizumi; Daisuke Furuya; Teruo Endo; Kouichi Asanuma; Nozomi Yanagihara; Satoshi Takahashi
Journal:  Int J Hematol       Date:  2017-10-09       Impact factor: 2.490

Review 4.  Monitoring residual disease in the ph-negative myeloproliferative neoplasms post-allogeneic stem cell transplantation: more mutations and more methodologies.

Authors:  Stephen E Langabeer; Karl Haslam; Eibhlin Conneally
Journal:  Front Oncol       Date:  2014-08-08       Impact factor: 6.244

5.  Immunological effects of nilotinib prophylaxis after allogeneic stem cell transplantation in patients with advanced chronic myeloid leukemia or philadelphia chromosome-positive acute lymphoblastic leukemia.

Authors:  Nira Varda-Bloom; Ivetta Danylesko; Roni Shouval; Shiran Eldror; Atar Lev; Jacqueline Davidson; Esther Rosenthal; Yulia Volchek; Noga Shem-Tov; Ronit Yerushalmi; Avichai Shimoni; Raz Somech; Arnon Nagler
Journal:  Oncotarget       Date:  2017-01-03

Review 6.  Digital PCR: A Reliable Tool for Analyzing and Monitoring Hematologic Malignancies.

Authors:  Nicoletta Coccaro; Giuseppina Tota; Luisa Anelli; Antonella Zagaria; Giorgina Specchia; Francesco Albano
Journal:  Int J Mol Sci       Date:  2020-04-29       Impact factor: 5.923

7.  Quantification of minimal disseminated disease by quantitative polymerase chain reaction and digital polymerase chain reaction for NPM-ALK as a prognostic factor in children with anaplastic large cell lymphoma.

Authors:  Christine Damm-Welk; Nina Kutscher; Martin Zimmermann; Andishe Attarbaschi; Jutta Schieferstein; Fabian Knörr; Ilske Oschlies; Wolfram Klapper; Wilhelm Woessmann
Journal:  Haematologica       Date:  2019-10-24       Impact factor: 9.941

Review 8.  Mate-Pair Sequencing as a Powerful Clinical Tool for the Characterization of Cancers with a DNA Viral Etiology.

Authors:  Ge Gao; David I Smith
Journal:  Viruses       Date:  2015-08-07       Impact factor: 5.048

  8 in total

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