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Minimal Residual Disease Monitoring with Next-Generation Sequencing Methodologies in Hematological Malignancies
Ultra-deep next-generation sequencing has emerged in recent years as an important diagnostic tool for the detection and follow-up of tumor burden in most of the known hematopoietic malignancies. Meticulous and high-throughput methods for the lowest possible quantified disease are needed to address t...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6600313/ https://www.ncbi.nlm.nih.gov/pubmed/31185671 http://dx.doi.org/10.3390/ijms20112832 |
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author | Sánchez, Ricardo Ayala, Rosa Martínez-López, Joaquín |
author_facet | Sánchez, Ricardo Ayala, Rosa Martínez-López, Joaquín |
author_sort | Sánchez, Ricardo |
collection | PubMed |
description | Ultra-deep next-generation sequencing has emerged in recent years as an important diagnostic tool for the detection and follow-up of tumor burden in most of the known hematopoietic malignancies. Meticulous and high-throughput methods for the lowest possible quantified disease are needed to address the deficiencies of more classical techniques. Precision-based approaches will allow us to correctly stratify each patient based on the minimal residual disease (MRD) after a treatment cycle. In this review, we consider the most prominent ways to approach next-generation sequencing methodologies to follow-up MRD in hematological neoplasms. |
format | Online Article Text |
id | pubmed-6600313 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66003132019-07-16 Minimal Residual Disease Monitoring with Next-Generation Sequencing Methodologies in Hematological Malignancies Sánchez, Ricardo Ayala, Rosa Martínez-López, Joaquín Int J Mol Sci Review Ultra-deep next-generation sequencing has emerged in recent years as an important diagnostic tool for the detection and follow-up of tumor burden in most of the known hematopoietic malignancies. Meticulous and high-throughput methods for the lowest possible quantified disease are needed to address the deficiencies of more classical techniques. Precision-based approaches will allow us to correctly stratify each patient based on the minimal residual disease (MRD) after a treatment cycle. In this review, we consider the most prominent ways to approach next-generation sequencing methodologies to follow-up MRD in hematological neoplasms. MDPI 2019-06-10 /pmc/articles/PMC6600313/ /pubmed/31185671 http://dx.doi.org/10.3390/ijms20112832 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Sánchez, Ricardo Ayala, Rosa Martínez-López, Joaquín Minimal Residual Disease Monitoring with Next-Generation Sequencing Methodologies in Hematological Malignancies |
title | Minimal Residual Disease Monitoring with Next-Generation Sequencing Methodologies in Hematological Malignancies |
title_full | Minimal Residual Disease Monitoring with Next-Generation Sequencing Methodologies in Hematological Malignancies |
title_fullStr | Minimal Residual Disease Monitoring with Next-Generation Sequencing Methodologies in Hematological Malignancies |
title_full_unstemmed | Minimal Residual Disease Monitoring with Next-Generation Sequencing Methodologies in Hematological Malignancies |
title_short | Minimal Residual Disease Monitoring with Next-Generation Sequencing Methodologies in Hematological Malignancies |
title_sort | minimal residual disease monitoring with next-generation sequencing methodologies in hematological malignancies |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6600313/ https://www.ncbi.nlm.nih.gov/pubmed/31185671 http://dx.doi.org/10.3390/ijms20112832 |
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