Literature DB >> 21250970

Minimal residual disease assessment in childhood acute lymphoblastic leukaemia: a Swedish multi-centre study comparing real-time polymerase chain reaction and multicolour flow cytometry.

Ingrid Thörn1, Erik Forestier, Johan Botling, Britt Thuresson, Carina Wasslavik, Elisabet Björklund, Aihong Li, Eleonor Lindström-Eriksson, Maria Malec, Elisabeth Grönlund, Kerstin Torikka, Jesper Heldrup, Jonas Abrahamsson, Mikael Behrendtz, Stefan Söderhäll, Stefan Jacobsson, Tor Olofsson, Anna Porwit, Gudmar Lönnerholm, Richard Rosenquist, Christer Sundström.   

Abstract

Minimal residual disease (MRD) assessment is a powerful prognostic factor for determining the risk of relapse in childhood acute lymphoblastic leukaemia (ALL). In this Swedish multi-centre study of childhood ALL diagnosed between 2002 and 2006, the MRD levels were analysed in 726 follow-up samples in 228 children using real-time quantitative polymerase chain reaction (RQ-PCR) of rearranged immunoglobulin/T-cell receptor genes and multicolour flow cytometry (FCM). Using an MRD threshold of 0·1%, which was the sensitivity level reached in all analyses, the concordance between RQ-PCR and FCM MRD values at day 29 was 84%. In B-cell precursor ALL, an MRD level of ≥0·1% at day 29 predicted a higher risk of bone marrow relapse (BMR) with both methods, although FCM was a better discriminator. However, considering the higher median MRD values achieved with RQ-PCR, a higher MRD cut-off (≥0·2%) improved the predictive capacity of RQ-PCR. In T-ALL, RQ-PCR was notably superior to FCM in predicting risk of BMR. That notwithstanding, MRD levels of ≥0·1%, detected by either method at day 29, could not predict isolated extramedullary relapse. In conclusion, the concordance between RQ-PCR and FCM was high and hence both methods are valuable clinical tools for identifying childhood ALL cases with increased risk of BMR.
© 2011 Blackwell Publishing Ltd.

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Year:  2011        PMID: 21250970     DOI: 10.1111/j.1365-2141.2010.08456.x

Source DB:  PubMed          Journal:  Br J Haematol        ISSN: 0007-1048            Impact factor:   6.998


  12 in total

Review 1.  Recommendations for the assessment and management of measurable residual disease in adults with acute lymphoblastic leukemia: A consensus of North American experts.

Authors:  Nicholas J Short; Elias Jabbour; Maher Albitar; Marcos de Lima; Lia Gore; Jeffrey Jorgensen; Aaron C Logan; Jae Park; Farhad Ravandi; Bijal Shah; Jerald Radich; Hagop Kantarjian
Journal:  Am J Hematol       Date:  2018-11-26       Impact factor: 10.047

Review 2.  Minimal residual disease diagnostics in acute lymphoblastic leukemia: need for sensitive, fast, and standardized technologies.

Authors:  Jacques J M van Dongen; Vincent H J van der Velden; Monika Brüggemann; Alberto Orfao
Journal:  Blood       Date:  2015-05-21       Impact factor: 22.113

Review 3.  Minimal Residual Disease in Acute Lymphoblastic Leukemia: How to Recognize and Treat It.

Authors:  Nicholas J Short; Elias Jabbour
Journal:  Curr Oncol Rep       Date:  2017-01       Impact factor: 5.075

4.  Critical evaluation of the utility of pre- and post-therapy immunophenotypes in assessment of measurable residual disease in B-ALL.

Authors:  Nupur Das; Ritu Gupta; Sanjeev Kumar Gupta; Sameer Bakhshi; Rachna Seth; Chandan Kumar; Sandeep Rai; Saroj Singh; Vijay Kumar Prajapati; Ajay Gogia; Ranjit Kumar Sahoo; Atul Sharma; Lalit Kumar
Journal:  Ann Hematol       Date:  2021-07-08       Impact factor: 3.673

Review 5.  Minimal/Measurable Residual Disease Detection in Acute Leukemias by Multiparameter Flow Cytometry.

Authors:  Franklin Fuda; Weina Chen
Journal:  Curr Hematol Malig Rep       Date:  2018-12       Impact factor: 3.952

6.  Standardized flow cytometry for highly sensitive MRD measurements in B-cell acute lymphoblastic leukemia.

Authors:  Prisca Theunissen; Ester Mejstrikova; Lukasz Sedek; Alita J van der Sluijs-Gelling; Giuseppe Gaipa; Marius Bartels; Elaine Sobral da Costa; Michaela Kotrová; Michaela Novakova; Edwin Sonneveld; Chiara Buracchi; Paola Bonaccorso; Elen Oliveira; Jeroen G Te Marvelde; Tomasz Szczepanski; Ludovic Lhermitte; Ondrej Hrusak; Quentin Lecrevisse; Georgiana Emilia Grigore; Eva Froňková; Jan Trka; Monika Brüggemann; Alberto Orfao; Jacques J M van Dongen; Vincent H J van der Velden
Journal:  Blood       Date:  2016-11-30       Impact factor: 22.113

Review 7.  Current Strategies for the Detection of Minimal Residual Disease in Childhood Acute Lymphoblastic Leukemia.

Authors:  Juliana Maria Camargos Rocha; Sandra Guerra Xavier; Marcelo Eduardo de Lima Souza; Juliana Godoy Assumpção; Mitiko Murao; Benigna Maria de Oliveira
Journal:  Mediterr J Hematol Infect Dis       Date:  2016-04-10       Impact factor: 2.576

8.  T-Cell Receptor Rearrangements Determined Using Fragment Analysis in Patients With T-Acute Lymphoblastic Leukemia.

Authors:  In Suk Kim; Chulhun L Chang; Hyerim Kim; Sun Young Kong; Young Tak Lim; Seom Gim Kong; Eun Hae Cho; Eun Yup Lee; Ho Jin Shin; Hyeon Jin Park; Hyeon Seok Eom; Hyewon Lee
Journal:  Ann Lab Med       Date:  2019-03       Impact factor: 3.464

9.  Value of flow cytometry for MRD-based relapse prediction in B-cell precursor ALL in a multicenter setting.

Authors:  S Modvig; H Hallböök; H O Madsen; S Siitonen; S Rosthøj; A Tierens; V Juvonen; L T N Osnes; H Vålerhaugen; M Hultdin; R Matuzeviciene; M Stoskus; M Marincevic; A Lilleorg; M Ehinger; U Norén-Nystrøm; N Toft; M Taskinen; O G Jónsson; K Pruunsild; G Vaitkeviciene; K Vettenranta; B Lund; J Abrahamsson; A Porwit; K Schmiegelow; H V Marquart
Journal:  Leukemia       Date:  2020-12-14       Impact factor: 11.528

10.  Minimal residual disease-based risk stratification in Chinese childhood acute lymphoblastic leukemia by flow cytometry and plasma DNA quantitative polymerase chain reaction.

Authors:  Suk Hang Cheng; Kin Mang Lau; Chi Kong Li; Natalie P H Chan; Rosalina K L Ip; Chi Keung Cheng; Vincent Lee; Matthew M K Shing; Alex W K Leung; Shau Yin Ha; Daniel K L Cheuk; Anselm C W Lee; Chak Ho Li; Chung Wing Luk; Siu Cheung Ling; Ondrej Hrusak; Ester Mejstrikova; Yonna Leung; Margaret H L Ng
Journal:  PLoS One       Date:  2013-07-25       Impact factor: 3.240

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