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Minimal residual disease quantification using consensus primers and high-throughput IGH sequencing predicts post-transplant relapse in chronic lymphocytic leukemia
Quantification of minimal residual disease (MRD) following allogeneic hematopoietic cell transplantation (allo-HCT) predicts post-transplant relapse in patients with chronic lymphocytic leukemia (CLL). We utilized an MRD-quantification method that amplifies immunoglobulin heavy chain (IGH) loci usin...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3740398/ https://www.ncbi.nlm.nih.gov/pubmed/23419792 http://dx.doi.org/10.1038/leu.2013.52 |
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author | Logan, A C Zhang, B Narasimhan, B Carlton, V Zheng, J Moorhead, M Krampf, M R Jones, C D Waqar, A N Faham, M Zehnder, J L Miklos, D B |
author_facet | Logan, A C Zhang, B Narasimhan, B Carlton, V Zheng, J Moorhead, M Krampf, M R Jones, C D Waqar, A N Faham, M Zehnder, J L Miklos, D B |
author_sort | Logan, A C |
collection | PubMed |
description | Quantification of minimal residual disease (MRD) following allogeneic hematopoietic cell transplantation (allo-HCT) predicts post-transplant relapse in patients with chronic lymphocytic leukemia (CLL). We utilized an MRD-quantification method that amplifies immunoglobulin heavy chain (IGH) loci using consensus V and J segment primers followed by high-throughput sequencing (HTS), enabling quantification with a detection limit of one CLL cell per million mononuclear cells. Using this IGH–HTS approach, we analyzed MRD patterns in over 400 samples from 40 CLL patients who underwent reduced-intensity allo-HCT. Nine patients relapsed within 12 months post-HCT. Of the 31 patients in remission at 12 months post-HCT, disease-free survival was 86% in patients with MRD <10(−4) and 20% in those with MRD ⩾10(−4) (relapse hazard ratio (HR) 9.0; 95% confidence interval (CI) 2.5–32; P<0.0001), with median follow-up of 36 months. Additionally, MRD predicted relapse at other time points, including 9, 18 and 24 months post-HCT. MRD doubling time <12 months with disease burden ⩾10(−5) was associated with relapse within 12 months of MRD assessment in 50% of patients, and within 24 months in 90% of patients. This IGH–HTS method may facilitate routine MRD quantification in clinical trials. |
format | Online Article Text |
id | pubmed-3740398 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-37403982013-08-12 Minimal residual disease quantification using consensus primers and high-throughput IGH sequencing predicts post-transplant relapse in chronic lymphocytic leukemia Logan, A C Zhang, B Narasimhan, B Carlton, V Zheng, J Moorhead, M Krampf, M R Jones, C D Waqar, A N Faham, M Zehnder, J L Miklos, D B Leukemia Original Article Quantification of minimal residual disease (MRD) following allogeneic hematopoietic cell transplantation (allo-HCT) predicts post-transplant relapse in patients with chronic lymphocytic leukemia (CLL). We utilized an MRD-quantification method that amplifies immunoglobulin heavy chain (IGH) loci using consensus V and J segment primers followed by high-throughput sequencing (HTS), enabling quantification with a detection limit of one CLL cell per million mononuclear cells. Using this IGH–HTS approach, we analyzed MRD patterns in over 400 samples from 40 CLL patients who underwent reduced-intensity allo-HCT. Nine patients relapsed within 12 months post-HCT. Of the 31 patients in remission at 12 months post-HCT, disease-free survival was 86% in patients with MRD <10(−4) and 20% in those with MRD ⩾10(−4) (relapse hazard ratio (HR) 9.0; 95% confidence interval (CI) 2.5–32; P<0.0001), with median follow-up of 36 months. Additionally, MRD predicted relapse at other time points, including 9, 18 and 24 months post-HCT. MRD doubling time <12 months with disease burden ⩾10(−5) was associated with relapse within 12 months of MRD assessment in 50% of patients, and within 24 months in 90% of patients. This IGH–HTS method may facilitate routine MRD quantification in clinical trials. Nature Publishing Group 2013-08 2013-03-12 /pmc/articles/PMC3740398/ /pubmed/23419792 http://dx.doi.org/10.1038/leu.2013.52 Text en Copyright © 2013 Macmillan Publishers Limited http://creativecommons.org/licenses/by-nc-sa/3.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/ |
spellingShingle | Original Article Logan, A C Zhang, B Narasimhan, B Carlton, V Zheng, J Moorhead, M Krampf, M R Jones, C D Waqar, A N Faham, M Zehnder, J L Miklos, D B Minimal residual disease quantification using consensus primers and high-throughput IGH sequencing predicts post-transplant relapse in chronic lymphocytic leukemia |
title | Minimal residual disease quantification using consensus primers and high-throughput IGH sequencing predicts post-transplant relapse in chronic lymphocytic leukemia |
title_full | Minimal residual disease quantification using consensus primers and high-throughput IGH sequencing predicts post-transplant relapse in chronic lymphocytic leukemia |
title_fullStr | Minimal residual disease quantification using consensus primers and high-throughput IGH sequencing predicts post-transplant relapse in chronic lymphocytic leukemia |
title_full_unstemmed | Minimal residual disease quantification using consensus primers and high-throughput IGH sequencing predicts post-transplant relapse in chronic lymphocytic leukemia |
title_short | Minimal residual disease quantification using consensus primers and high-throughput IGH sequencing predicts post-transplant relapse in chronic lymphocytic leukemia |
title_sort | minimal residual disease quantification using consensus primers and high-throughput igh sequencing predicts post-transplant relapse in chronic lymphocytic leukemia |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3740398/ https://www.ncbi.nlm.nih.gov/pubmed/23419792 http://dx.doi.org/10.1038/leu.2013.52 |
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