Cargando…
Single-Cell Next-Generation Sequencing to Monitor Hematopoietic Stem-Cell Transplantation: Current Applications and Future Perspectives
SIMPLE SUMMARY: Single-cell DNA sequencing is a laboratory technique that analyzes the genetic content of individual cells. In the context of genetically diverse hematological cancers such as acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS), the traditional approach of analyzing genet...
Autores principales: | , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10177286/ https://www.ncbi.nlm.nih.gov/pubmed/37173944 http://dx.doi.org/10.3390/cancers15092477 |
_version_ | 1785040602843316224 |
---|---|
author | Ogbue, Olisaemeka Unlu, Serhan Ibodeng, Gogo-Ogute Singh, Abhay Durmaz, Arda Visconte, Valeria Molina, John C. |
author_facet | Ogbue, Olisaemeka Unlu, Serhan Ibodeng, Gogo-Ogute Singh, Abhay Durmaz, Arda Visconte, Valeria Molina, John C. |
author_sort | Ogbue, Olisaemeka |
collection | PubMed |
description | SIMPLE SUMMARY: Single-cell DNA sequencing is a laboratory technique that analyzes the genetic content of individual cells. In the context of genetically diverse hematological cancers such as acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS), the traditional approach of analyzing genetic material, which typically involves bulk samples of leukemia cells, may miss important mutations that may not be present in all cells. The single-cell DNA technique can better identify genetic mutations associated with disease recurrence and death even after stem-cell transplantation. The paper discusses the background, pitfalls, and applications of this technology when used during transplantation procedures. The use of this technology could potentially translate to better outcomes in AML/MDS patients receiving stem-cell transplantation. ABSTRACT: Acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS) are genetically complex and diverse diseases. Such complexity makes challenging the monitoring of response to treatment. Measurable residual disease (MRD) assessment is a powerful tool for monitoring response and guiding therapeutic interventions. This is accomplished through targeted next-generation sequencing (NGS), as well as polymerase chain reaction and multiparameter flow cytometry, to detect genomic aberrations at a previously challenging leukemic cell concentration. A major shortcoming of NGS techniques is the inability to discriminate nonleukemic clonal hematopoiesis. In addition, risk assessment and prognostication become more complicated after hematopoietic stem-cell transplantation (HSCT) due to genotypic drift. To address this, newer sequencing techniques have been developed, leading to more prospective and randomized clinical trials aiming to demonstrate the prognostic utility of single-cell next-generation sequencing in predicting patient outcomes following HSCT. This review discusses the use of single-cell DNA genomics in MRD assessment for AML/MDS, with an emphasis on the HSCT time period, including the challenges with current technologies. We also touch on the potential benefits of single-cell RNA sequencing and analysis of accessible chromatin, which generate high-dimensional data at the cellular resolution for investigational purposes, but not currently used in the clinical setting. |
format | Online Article Text |
id | pubmed-10177286 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-101772862023-05-13 Single-Cell Next-Generation Sequencing to Monitor Hematopoietic Stem-Cell Transplantation: Current Applications and Future Perspectives Ogbue, Olisaemeka Unlu, Serhan Ibodeng, Gogo-Ogute Singh, Abhay Durmaz, Arda Visconte, Valeria Molina, John C. Cancers (Basel) Review SIMPLE SUMMARY: Single-cell DNA sequencing is a laboratory technique that analyzes the genetic content of individual cells. In the context of genetically diverse hematological cancers such as acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS), the traditional approach of analyzing genetic material, which typically involves bulk samples of leukemia cells, may miss important mutations that may not be present in all cells. The single-cell DNA technique can better identify genetic mutations associated with disease recurrence and death even after stem-cell transplantation. The paper discusses the background, pitfalls, and applications of this technology when used during transplantation procedures. The use of this technology could potentially translate to better outcomes in AML/MDS patients receiving stem-cell transplantation. ABSTRACT: Acute myeloid leukemia (AML) and myelodysplastic syndrome (MDS) are genetically complex and diverse diseases. Such complexity makes challenging the monitoring of response to treatment. Measurable residual disease (MRD) assessment is a powerful tool for monitoring response and guiding therapeutic interventions. This is accomplished through targeted next-generation sequencing (NGS), as well as polymerase chain reaction and multiparameter flow cytometry, to detect genomic aberrations at a previously challenging leukemic cell concentration. A major shortcoming of NGS techniques is the inability to discriminate nonleukemic clonal hematopoiesis. In addition, risk assessment and prognostication become more complicated after hematopoietic stem-cell transplantation (HSCT) due to genotypic drift. To address this, newer sequencing techniques have been developed, leading to more prospective and randomized clinical trials aiming to demonstrate the prognostic utility of single-cell next-generation sequencing in predicting patient outcomes following HSCT. This review discusses the use of single-cell DNA genomics in MRD assessment for AML/MDS, with an emphasis on the HSCT time period, including the challenges with current technologies. We also touch on the potential benefits of single-cell RNA sequencing and analysis of accessible chromatin, which generate high-dimensional data at the cellular resolution for investigational purposes, but not currently used in the clinical setting. MDPI 2023-04-26 /pmc/articles/PMC10177286/ /pubmed/37173944 http://dx.doi.org/10.3390/cancers15092477 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Ogbue, Olisaemeka Unlu, Serhan Ibodeng, Gogo-Ogute Singh, Abhay Durmaz, Arda Visconte, Valeria Molina, John C. Single-Cell Next-Generation Sequencing to Monitor Hematopoietic Stem-Cell Transplantation: Current Applications and Future Perspectives |
title | Single-Cell Next-Generation Sequencing to Monitor Hematopoietic Stem-Cell Transplantation: Current Applications and Future Perspectives |
title_full | Single-Cell Next-Generation Sequencing to Monitor Hematopoietic Stem-Cell Transplantation: Current Applications and Future Perspectives |
title_fullStr | Single-Cell Next-Generation Sequencing to Monitor Hematopoietic Stem-Cell Transplantation: Current Applications and Future Perspectives |
title_full_unstemmed | Single-Cell Next-Generation Sequencing to Monitor Hematopoietic Stem-Cell Transplantation: Current Applications and Future Perspectives |
title_short | Single-Cell Next-Generation Sequencing to Monitor Hematopoietic Stem-Cell Transplantation: Current Applications and Future Perspectives |
title_sort | single-cell next-generation sequencing to monitor hematopoietic stem-cell transplantation: current applications and future perspectives |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10177286/ https://www.ncbi.nlm.nih.gov/pubmed/37173944 http://dx.doi.org/10.3390/cancers15092477 |
work_keys_str_mv | AT ogbueolisaemeka singlecellnextgenerationsequencingtomonitorhematopoieticstemcelltransplantationcurrentapplicationsandfutureperspectives AT unluserhan singlecellnextgenerationsequencingtomonitorhematopoieticstemcelltransplantationcurrentapplicationsandfutureperspectives AT ibodenggogoogute singlecellnextgenerationsequencingtomonitorhematopoieticstemcelltransplantationcurrentapplicationsandfutureperspectives AT singhabhay singlecellnextgenerationsequencingtomonitorhematopoieticstemcelltransplantationcurrentapplicationsandfutureperspectives AT durmazarda singlecellnextgenerationsequencingtomonitorhematopoieticstemcelltransplantationcurrentapplicationsandfutureperspectives AT viscontevaleria singlecellnextgenerationsequencingtomonitorhematopoieticstemcelltransplantationcurrentapplicationsandfutureperspectives AT molinajohnc singlecellnextgenerationsequencingtomonitorhematopoieticstemcelltransplantationcurrentapplicationsandfutureperspectives |