Literature DB >> 21185273

Real-time biallelic polymorphism-polymerase chain reaction for chimerism monitoring of hematopoietic stem cell transplantation relapsed patients.

Ding-Ping Chen1, Ching-Ping Tseng, Wei-Ting Wang, Mei-Chia Wang, Shu-Hui Tsai, Chien-Feng Sun.   

Abstract

BACKGROUND: An accurate analysis of chimerism kinetics permits early detection of hematopoietic stem cell transplantation (HSCT) in patients with high risks of graft-versus-host disease or those liable to relapse. Although short tandem repeats-PCR (STR-PCR) is the golden standard for quantitative chimerism analysis in most of the clinical laboratories, it has a relatively low sensitivity of 5% and the detection of low percentage in mixed chimerism is usually delayed. In this study, we developed a real-time PCR for chimerism analysis based on the informative biallelic polymorphisms (BP).
METHODS: The allele frequencies of 19 selective biallelic polymorphic markers were analyzed using the genomic DNA from 100 healthy Taiwanese volunteers. The informative biallelic polymorphic markers with high discrimination power in the Taiwanese population were identified. The TaqMan probe-based real-time BP-PCR for amplification of the informative loci was designed and the detection sensitivity was determined. Clinical application of real-time BP-PCR in chimerism monitoring was evaluated and was compared with the conventional STR-PCR by analyzing the DNA samples obtained at different time points post-HSCT from 4 relapsed and 10 non-relapsed patients.
RESULTS: Allele distribution analysis revealed that the loci of S01a, S03, S04a, S05b, S06, S07b, S08b, S09b, S10b and S11a had a relatively high discrimination power and were the informative BP for chimerism monitoring in the Taiwanese population. Real-time BP-PCRs for these 10 BP loci were set up with the detection sensitivity equivalent to 0.003-0.006%. Real-time BP-PCR of the 4 HSCT patients revealed the presence of recipient-specific DNA at early time point than STR-PCR for 3 of the patients, whereas real-time BP-PCR was as effective as STR-PCR in uncovering the sign of relapse for one of the patients. In addition, the baseline value for the patients with no sign of relapse was 0.127 ± 0.193% of recipient DNA.
CONCLUSION: We conclude that real-time BP-PCR is a sensitive and reliable method for chimerism monitoring and is superior to the STR-PCR in identifying patients who are at high risk for relapse after transplantation.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 21185273     DOI: 10.1016/j.cca.2010.12.018

Source DB:  PubMed          Journal:  Clin Chim Acta        ISSN: 0009-8981            Impact factor:   3.786


  5 in total

1.  Detection and quantification of chimerism by droplet digital PCR.

Authors:  David George; Juliann Czech; Bobby John; Min Yu; Lawrence J Jennings
Journal:  Chimerism       Date:  2013-06-20

2.  A SNP panel for early detection of artificial chimerism in HSCT patients using TaqMan technology.

Authors:  Tikumphorn Sathirapatya; Wikanda Worrapitirungsi; Poonyapat Sukawutthiya; Kawin Rasmeepaisarn; Kornkiat Vongpaisarnsin
Journal:  Int J Legal Med       Date:  2020-04-05       Impact factor: 2.686

3.  Quantitative chimerism: an independent acute leukemia prognosis indicator following allogeneic hematopoietic SCT.

Authors:  X-Y Qin; G-X Li; Y-Z Qin; Y Wang; F-R Wang; D-H Liu; L-P Xu; H Chen; W Han; J-Z Wang; X-H Zhang; J-L Li; L-D Li; K-Y Liu; X-J Huang
Journal:  Bone Marrow Transplant       Date:  2014-08-04       Impact factor: 5.483

4.  Is there a role for B lymphocyte chimerism in the monitoring of B-acute lymphoblastic leukemia patients receiving allogeneic stem cell transplantation?

Authors:  Yi-Ning Yang; Xiao-Rui Wang; You-Wen Qin; Li-Ping Wan; Ying Jiang; Chun Wang
Journal:  Chronic Dis Transl Med       Date:  2015-03-23

Review 5.  Current Trends in Applications of Circulatory Microchimerism Detection in Transplantation.

Authors:  Hajnalka Andrikovics; Zoltán Őrfi; Nóra Meggyesi; András Bors; Lívia Varga; Petra Kövy; Zsófia Vilimszky; Fanni Kolics; László Gopcsa; Péter Reményi; Attila Tordai
Journal:  Int J Mol Sci       Date:  2019-09-10       Impact factor: 5.923

  5 in total

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