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Analysis of Subset Chimerism for MRD-Detection and Pre-Emptive Treatment in AML
Allogeneic hematopoietic stem cell transplantation (alloHCT) represents the only potentially curative treatment in high-risk AML patients, but up to 40% of patients suffer from relapse after alloHCT. Treatment of overt relapse poses a major therapeutic challenge and long-term disease control is achi...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8892234/ https://www.ncbi.nlm.nih.gov/pubmed/35252010 http://dx.doi.org/10.3389/fonc.2022.841608 |
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author | Georgi, Julia-Annabell Stasik, Sebastian Bornhäuser, Martin Platzbecker, Uwe Thiede, Christian |
author_facet | Georgi, Julia-Annabell Stasik, Sebastian Bornhäuser, Martin Platzbecker, Uwe Thiede, Christian |
author_sort | Georgi, Julia-Annabell |
collection | PubMed |
description | Allogeneic hematopoietic stem cell transplantation (alloHCT) represents the only potentially curative treatment in high-risk AML patients, but up to 40% of patients suffer from relapse after alloHCT. Treatment of overt relapse poses a major therapeutic challenge and long-term disease control is achieved only in a minority of patients. In order to avoid post-allograft relapse, maintenance as well as pre-emptive therapy strategies based on MRD-detection have been used. A prerequisite for the implementation of pre-emptive therapy is the accurate identification of patients at risk for imminent relapse. Detection of measurable residual disease (MRD) represents an effective tool for early relapse prediction in the post-transplant setting. However, using established MRD methods such as multicolor flow cytometry or quantitative PCR, sensitive MRD monitoring is only applicable in about half of the patients with AML and advanced MDS undergoing alloHCT. Donor chimerism analysis, in particular when performed on enriched leukemic stem and progenitor cells, e.g. CD34+ cells, is a sensitive method and has emerged as an alternative option in the post alloHCT setting. In this review, we will focus on the current strategies for lineage specific chimerism analysis, results of pre-emptive treatment using this technology as well as future developments in this field. |
format | Online Article Text |
id | pubmed-8892234 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88922342022-03-04 Analysis of Subset Chimerism for MRD-Detection and Pre-Emptive Treatment in AML Georgi, Julia-Annabell Stasik, Sebastian Bornhäuser, Martin Platzbecker, Uwe Thiede, Christian Front Oncol Oncology Allogeneic hematopoietic stem cell transplantation (alloHCT) represents the only potentially curative treatment in high-risk AML patients, but up to 40% of patients suffer from relapse after alloHCT. Treatment of overt relapse poses a major therapeutic challenge and long-term disease control is achieved only in a minority of patients. In order to avoid post-allograft relapse, maintenance as well as pre-emptive therapy strategies based on MRD-detection have been used. A prerequisite for the implementation of pre-emptive therapy is the accurate identification of patients at risk for imminent relapse. Detection of measurable residual disease (MRD) represents an effective tool for early relapse prediction in the post-transplant setting. However, using established MRD methods such as multicolor flow cytometry or quantitative PCR, sensitive MRD monitoring is only applicable in about half of the patients with AML and advanced MDS undergoing alloHCT. Donor chimerism analysis, in particular when performed on enriched leukemic stem and progenitor cells, e.g. CD34+ cells, is a sensitive method and has emerged as an alternative option in the post alloHCT setting. In this review, we will focus on the current strategies for lineage specific chimerism analysis, results of pre-emptive treatment using this technology as well as future developments in this field. Frontiers Media S.A. 2022-02-17 /pmc/articles/PMC8892234/ /pubmed/35252010 http://dx.doi.org/10.3389/fonc.2022.841608 Text en Copyright © 2022 Georgi, Stasik, Bornhäuser, Platzbecker and Thiede https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Georgi, Julia-Annabell Stasik, Sebastian Bornhäuser, Martin Platzbecker, Uwe Thiede, Christian Analysis of Subset Chimerism for MRD-Detection and Pre-Emptive Treatment in AML |
title | Analysis of Subset Chimerism for MRD-Detection and Pre-Emptive Treatment in AML |
title_full | Analysis of Subset Chimerism for MRD-Detection and Pre-Emptive Treatment in AML |
title_fullStr | Analysis of Subset Chimerism for MRD-Detection and Pre-Emptive Treatment in AML |
title_full_unstemmed | Analysis of Subset Chimerism for MRD-Detection and Pre-Emptive Treatment in AML |
title_short | Analysis of Subset Chimerism for MRD-Detection and Pre-Emptive Treatment in AML |
title_sort | analysis of subset chimerism for mrd-detection and pre-emptive treatment in aml |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8892234/ https://www.ncbi.nlm.nih.gov/pubmed/35252010 http://dx.doi.org/10.3389/fonc.2022.841608 |
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