Cargando…
Optimizing Molecular Minimal Residual Disease Analysis in Adult Acute Lymphoblastic Leukemia
SIMPLE SUMMARY: Minimal/measurable residual disease (MRD) monitoring is a powerful and independent predictor of outcomes in both children and adult acute lymphoblastic leukemia (ALL). MRD monitoring enables patients’ stratification into different risk-adapted treatment arms; it guides treatment deci...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9856386/ https://www.ncbi.nlm.nih.gov/pubmed/36672325 http://dx.doi.org/10.3390/cancers15020374 |
_version_ | 1784873611484463104 |
---|---|
author | Della Starza, Irene De Novi, Lucia Anna Elia, Loredana Bellomarino, Vittorio Beldinanzi, Marco Soscia, Roberta Cardinali, Deborah Chiaretti, Sabina Guarini, Anna Foà, Robin |
author_facet | Della Starza, Irene De Novi, Lucia Anna Elia, Loredana Bellomarino, Vittorio Beldinanzi, Marco Soscia, Roberta Cardinali, Deborah Chiaretti, Sabina Guarini, Anna Foà, Robin |
author_sort | Della Starza, Irene |
collection | PubMed |
description | SIMPLE SUMMARY: Minimal/measurable residual disease (MRD) monitoring is a powerful and independent predictor of outcomes in both children and adult acute lymphoblastic leukemia (ALL). MRD monitoring enables patients’ stratification into different risk-adapted treatment arms; it guides treatment decisions in clinical practice, including stem cell transplantation, and represents an early marker of impending relapse. Real-time quantitative PCR is the most widely used molecular method for MRD assessment, but there are some limitations that new approaches may overcome. In this review, we discuss the most recent technological advances in MRD monitoring that are allowing to increase the number of evaluable patients and the levels of quantification and also have the potential to study different disease compartments. ABSTRACT: Minimal/measurable residual disease (MRD) evaluation has resulted in a fundamental instrument to guide patient management in acute lymphoblastic leukemia (ALL). From a methodological standpoint, MRD is defined as any approach aimed at detecting and possibly quantifying residual neoplastic cells beyond the sensitivity level of cytomorphology. The molecular methods to study MRD in ALL are polymerase chain reaction (PCR) amplification-based approaches and are the most standardized techniques. However, there are some limitations, and emerging technologies, such as digital droplet PCR (ddPCR) and next-generation sequencing (NGS), seem to have advantages that could improve MRD analysis in ALL patients. Furthermore, other blood components, namely cell-free DNA (cfDNA), appear promising and are also being investigated for their potential role in monitoring tumor burden and response to treatment in hematologic malignancies. Based on the review of the literature and on our own data, we hereby discuss how emerging molecular technologies are helping to refine the molecular monitoring of MRD in ALL and may help to overcome some of the limitations of standard approaches, providing a benefit for the care of patients. |
format | Online Article Text |
id | pubmed-9856386 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98563862023-01-21 Optimizing Molecular Minimal Residual Disease Analysis in Adult Acute Lymphoblastic Leukemia Della Starza, Irene De Novi, Lucia Anna Elia, Loredana Bellomarino, Vittorio Beldinanzi, Marco Soscia, Roberta Cardinali, Deborah Chiaretti, Sabina Guarini, Anna Foà, Robin Cancers (Basel) Review SIMPLE SUMMARY: Minimal/measurable residual disease (MRD) monitoring is a powerful and independent predictor of outcomes in both children and adult acute lymphoblastic leukemia (ALL). MRD monitoring enables patients’ stratification into different risk-adapted treatment arms; it guides treatment decisions in clinical practice, including stem cell transplantation, and represents an early marker of impending relapse. Real-time quantitative PCR is the most widely used molecular method for MRD assessment, but there are some limitations that new approaches may overcome. In this review, we discuss the most recent technological advances in MRD monitoring that are allowing to increase the number of evaluable patients and the levels of quantification and also have the potential to study different disease compartments. ABSTRACT: Minimal/measurable residual disease (MRD) evaluation has resulted in a fundamental instrument to guide patient management in acute lymphoblastic leukemia (ALL). From a methodological standpoint, MRD is defined as any approach aimed at detecting and possibly quantifying residual neoplastic cells beyond the sensitivity level of cytomorphology. The molecular methods to study MRD in ALL are polymerase chain reaction (PCR) amplification-based approaches and are the most standardized techniques. However, there are some limitations, and emerging technologies, such as digital droplet PCR (ddPCR) and next-generation sequencing (NGS), seem to have advantages that could improve MRD analysis in ALL patients. Furthermore, other blood components, namely cell-free DNA (cfDNA), appear promising and are also being investigated for their potential role in monitoring tumor burden and response to treatment in hematologic malignancies. Based on the review of the literature and on our own data, we hereby discuss how emerging molecular technologies are helping to refine the molecular monitoring of MRD in ALL and may help to overcome some of the limitations of standard approaches, providing a benefit for the care of patients. MDPI 2023-01-06 /pmc/articles/PMC9856386/ /pubmed/36672325 http://dx.doi.org/10.3390/cancers15020374 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 Della Starza, Irene De Novi, Lucia Anna Elia, Loredana Bellomarino, Vittorio Beldinanzi, Marco Soscia, Roberta Cardinali, Deborah Chiaretti, Sabina Guarini, Anna Foà, Robin Optimizing Molecular Minimal Residual Disease Analysis in Adult Acute Lymphoblastic Leukemia |
title | Optimizing Molecular Minimal Residual Disease Analysis in Adult Acute Lymphoblastic Leukemia |
title_full | Optimizing Molecular Minimal Residual Disease Analysis in Adult Acute Lymphoblastic Leukemia |
title_fullStr | Optimizing Molecular Minimal Residual Disease Analysis in Adult Acute Lymphoblastic Leukemia |
title_full_unstemmed | Optimizing Molecular Minimal Residual Disease Analysis in Adult Acute Lymphoblastic Leukemia |
title_short | Optimizing Molecular Minimal Residual Disease Analysis in Adult Acute Lymphoblastic Leukemia |
title_sort | optimizing molecular minimal residual disease analysis in adult acute lymphoblastic leukemia |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9856386/ https://www.ncbi.nlm.nih.gov/pubmed/36672325 http://dx.doi.org/10.3390/cancers15020374 |
work_keys_str_mv | AT dellastarzairene optimizingmolecularminimalresidualdiseaseanalysisinadultacutelymphoblasticleukemia AT denoviluciaanna optimizingmolecularminimalresidualdiseaseanalysisinadultacutelymphoblasticleukemia AT elialoredana optimizingmolecularminimalresidualdiseaseanalysisinadultacutelymphoblasticleukemia AT bellomarinovittorio optimizingmolecularminimalresidualdiseaseanalysisinadultacutelymphoblasticleukemia AT beldinanzimarco optimizingmolecularminimalresidualdiseaseanalysisinadultacutelymphoblasticleukemia AT sosciaroberta optimizingmolecularminimalresidualdiseaseanalysisinadultacutelymphoblasticleukemia AT cardinalideborah optimizingmolecularminimalresidualdiseaseanalysisinadultacutelymphoblasticleukemia AT chiarettisabina optimizingmolecularminimalresidualdiseaseanalysisinadultacutelymphoblasticleukemia AT guarinianna optimizingmolecularminimalresidualdiseaseanalysisinadultacutelymphoblasticleukemia AT foarobin optimizingmolecularminimalresidualdiseaseanalysisinadultacutelymphoblasticleukemia |