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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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2013
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.
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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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