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Simple deep sequencing-based post-remission MRD surveillance predicts clinical relapse in B-ALL
BACKGROUND: Next-generation sequencing (NGS) of the rearranged immunoglobulin heavy-chain gene has emerged as a highly sensitive method to detect minimal residual disease (MRD) in B acute lymphoblastic leukemia/lymphoma (B-ALL). However, a sensitive and easily implemented NGS methodology for routine...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6103872/ https://www.ncbi.nlm.nih.gov/pubmed/30134947 http://dx.doi.org/10.1186/s13045-018-0652-y |
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author | Cheng, Shuhua Inghirami, Giorgio Cheng, Shuo Tam, Wayne |
author_facet | Cheng, Shuhua Inghirami, Giorgio Cheng, Shuo Tam, Wayne |
author_sort | Cheng, Shuhua |
collection | PubMed |
description | BACKGROUND: Next-generation sequencing (NGS) of the rearranged immunoglobulin heavy-chain gene has emerged as a highly sensitive method to detect minimal residual disease (MRD) in B acute lymphoblastic leukemia/lymphoma (B-ALL). However, a sensitive and easily implemented NGS methodology for routine clinical laboratories is lacking and clinical utility of NGS-MRD surveillance in a post-remission setting to predict clinical relapse has not been determined. METHODS: Here we described a simple and quantitative NGS platform and assessed its performance characteristics, quantified NGS-MRD levels in 122 B-ALL samples from 30 B-ALL patients, and explored the clinical merit of NGS-based MRD surveillance. RESULTS: The current NGS platform has an analytic sensitivity of 0.0001% with excellent specificity and reproducibility. Overall, it performs better than routine multi-color flow cytometry (MCF) in detecting MRD. Utilizing this assay in MRD surveillance in a post-remission setting showed that it detected conversion to positive MRD (CPMRD) in patients with NGS-based molecular remission much earlier than MCF, and that positive MRD conversion could be detected as early as 25.6 weeks prior to clinical relapse in closely surveilled patients. Post-remission CPMRD, but not NGS-based MRD positivity at end of induction, can accurately predict clinical relapse in our limited cohort of B-ALL patients. CONCLUSIONS: This pilot proof-of-concept study illustrates the clinical utility of a simple, sensitive, and clinically feasible MRD detection platform in post-remission NGS-based MRD surveillance and early relapse detection in B-ALL patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13045-018-0652-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6103872 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-61038722018-08-30 Simple deep sequencing-based post-remission MRD surveillance predicts clinical relapse in B-ALL Cheng, Shuhua Inghirami, Giorgio Cheng, Shuo Tam, Wayne J Hematol Oncol Research BACKGROUND: Next-generation sequencing (NGS) of the rearranged immunoglobulin heavy-chain gene has emerged as a highly sensitive method to detect minimal residual disease (MRD) in B acute lymphoblastic leukemia/lymphoma (B-ALL). However, a sensitive and easily implemented NGS methodology for routine clinical laboratories is lacking and clinical utility of NGS-MRD surveillance in a post-remission setting to predict clinical relapse has not been determined. METHODS: Here we described a simple and quantitative NGS platform and assessed its performance characteristics, quantified NGS-MRD levels in 122 B-ALL samples from 30 B-ALL patients, and explored the clinical merit of NGS-based MRD surveillance. RESULTS: The current NGS platform has an analytic sensitivity of 0.0001% with excellent specificity and reproducibility. Overall, it performs better than routine multi-color flow cytometry (MCF) in detecting MRD. Utilizing this assay in MRD surveillance in a post-remission setting showed that it detected conversion to positive MRD (CPMRD) in patients with NGS-based molecular remission much earlier than MCF, and that positive MRD conversion could be detected as early as 25.6 weeks prior to clinical relapse in closely surveilled patients. Post-remission CPMRD, but not NGS-based MRD positivity at end of induction, can accurately predict clinical relapse in our limited cohort of B-ALL patients. CONCLUSIONS: This pilot proof-of-concept study illustrates the clinical utility of a simple, sensitive, and clinically feasible MRD detection platform in post-remission NGS-based MRD surveillance and early relapse detection in B-ALL patients. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s13045-018-0652-y) contains supplementary material, which is available to authorized users. BioMed Central 2018-08-22 /pmc/articles/PMC6103872/ /pubmed/30134947 http://dx.doi.org/10.1186/s13045-018-0652-y Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Cheng, Shuhua Inghirami, Giorgio Cheng, Shuo Tam, Wayne Simple deep sequencing-based post-remission MRD surveillance predicts clinical relapse in B-ALL |
title | Simple deep sequencing-based post-remission MRD surveillance predicts clinical relapse in B-ALL |
title_full | Simple deep sequencing-based post-remission MRD surveillance predicts clinical relapse in B-ALL |
title_fullStr | Simple deep sequencing-based post-remission MRD surveillance predicts clinical relapse in B-ALL |
title_full_unstemmed | Simple deep sequencing-based post-remission MRD surveillance predicts clinical relapse in B-ALL |
title_short | Simple deep sequencing-based post-remission MRD surveillance predicts clinical relapse in B-ALL |
title_sort | simple deep sequencing-based post-remission mrd surveillance predicts clinical relapse in b-all |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6103872/ https://www.ncbi.nlm.nih.gov/pubmed/30134947 http://dx.doi.org/10.1186/s13045-018-0652-y |
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