Cargando…
Molecular Landscape and Validation of New Genomic Classification in 2668 Adult AML Patients: Real Life Data from the PETHEMA Registry
SIMPLE SUMMARY: Next–Generation Sequencing (NGS) has provided a deeper genetic understanding of acute myeloid leukemia (AML) that has been recently incorporated into AML classification and risk–stratification guidelines. Single molecular analysis has become inefficient and molecular testing based on...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9856266/ https://www.ncbi.nlm.nih.gov/pubmed/36672386 http://dx.doi.org/10.3390/cancers15020438 |
_version_ | 1784873577987702784 |
---|---|
author | Sargas, Claudia Ayala, Rosa Larráyoz, María José Chillón, María Carmen Carrillo-Cruz, Estrella Bilbao-Sieyro, Cristina Prados de la Torre, Esther Martínez-Cuadrón, David Rodríguez-Veiga, Rebeca Boluda, Blanca Gil, Cristina Bernal, Teresa Bergua, Juan Miguel Algarra, Lorenzo Tormo, Mar Martínez-Sánchez, Pilar Soria, Elena Serrano, Josefina Alonso-Domínguez, Juan Manuel García-Boyero, Raimundo Amigo, María Luz Herrera-Puente, Pilar Sayas, María José Lavilla-Rubira, Esperanza Martínez-López, Joaquín Calasanz, María José García-Sanz, Ramón Pérez-Simón, José Antonio Gómez-Casares, María Teresa Sánchez-García, Joaquín Barragán, Eva Montesinos, Pau |
author_facet | Sargas, Claudia Ayala, Rosa Larráyoz, María José Chillón, María Carmen Carrillo-Cruz, Estrella Bilbao-Sieyro, Cristina Prados de la Torre, Esther Martínez-Cuadrón, David Rodríguez-Veiga, Rebeca Boluda, Blanca Gil, Cristina Bernal, Teresa Bergua, Juan Miguel Algarra, Lorenzo Tormo, Mar Martínez-Sánchez, Pilar Soria, Elena Serrano, Josefina Alonso-Domínguez, Juan Manuel García-Boyero, Raimundo Amigo, María Luz Herrera-Puente, Pilar Sayas, María José Lavilla-Rubira, Esperanza Martínez-López, Joaquín Calasanz, María José García-Sanz, Ramón Pérez-Simón, José Antonio Gómez-Casares, María Teresa Sánchez-García, Joaquín Barragán, Eva Montesinos, Pau |
author_sort | Sargas, Claudia |
collection | PubMed |
description | SIMPLE SUMMARY: Next–Generation Sequencing (NGS) has provided a deeper genetic understanding of acute myeloid leukemia (AML) that has been recently incorporated into AML classification and risk–stratification guidelines. Single molecular analysis has become inefficient and molecular testing based on NGS is emerging as an irreplaceable diagnostic tool in clinical settings. The PETHEMA cooperative group has constituted a nationwide NGS network with centralized analysis in seven high–skilled laboratories. The study of molecular profiles in the “real–life” PETHEMA cohort supports the increasing role of NGS on the clinical management of AML patients. ABSTRACT: Next–Generation Sequencing (NGS) implementation to perform accurate diagnosis in acute myeloid leukemia (AML) represents a major challenge for molecular laboratories in terms of specialization, standardization, costs and logistical support. In this context, the PETHEMA cooperative group has established the first nationwide diagnostic network of seven reference laboratories to provide standardized NGS studies for AML patients. Cross–validation (CV) rounds are regularly performed to ensure the quality of NGS studies and to keep updated clinically relevant genes recommended for NGS study. The molecular characterization of 2856 samples (1631 derived from the NGS–AML project; NCT03311815) with standardized NGS of consensus genes (ABL1, ASXL1, BRAF, CALR, CBL, CEBPA, CSF3R, DNMT3A, ETV6, EZH2, FLT3, GATA2, HRAS, IDH1, IDH2, JAK2, KIT, KRAS, MPL, NPM1, NRAS, PTPN11, RUNX1, SETBP1, SF3B1, SRSF2, TET2, TP53, U2AF1 and WT1) showed 97% of patients having at least one mutation. The mutational profile was highly variable according to moment of disease, age and sex, and several co–occurring and exclusion relations were detected. Molecular testing based on NGS allowed accurate diagnosis and reliable prognosis stratification of 954 AML patients according to new genomic classification proposed by Tazi et al. Novel molecular subgroups, such as mutated WT1 and mutations in at least two myelodysplasia–related genes, have been associated with an adverse prognosis in our cohort. In this way, the PETHEMA cooperative group efficiently provides an extensive molecular characterization for AML diagnosis and risk stratification, ensuring technical quality and equity in access to NGS studies. |
format | Online Article Text |
id | pubmed-9856266 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-98562662023-01-21 Molecular Landscape and Validation of New Genomic Classification in 2668 Adult AML Patients: Real Life Data from the PETHEMA Registry Sargas, Claudia Ayala, Rosa Larráyoz, María José Chillón, María Carmen Carrillo-Cruz, Estrella Bilbao-Sieyro, Cristina Prados de la Torre, Esther Martínez-Cuadrón, David Rodríguez-Veiga, Rebeca Boluda, Blanca Gil, Cristina Bernal, Teresa Bergua, Juan Miguel Algarra, Lorenzo Tormo, Mar Martínez-Sánchez, Pilar Soria, Elena Serrano, Josefina Alonso-Domínguez, Juan Manuel García-Boyero, Raimundo Amigo, María Luz Herrera-Puente, Pilar Sayas, María José Lavilla-Rubira, Esperanza Martínez-López, Joaquín Calasanz, María José García-Sanz, Ramón Pérez-Simón, José Antonio Gómez-Casares, María Teresa Sánchez-García, Joaquín Barragán, Eva Montesinos, Pau Cancers (Basel) Article SIMPLE SUMMARY: Next–Generation Sequencing (NGS) has provided a deeper genetic understanding of acute myeloid leukemia (AML) that has been recently incorporated into AML classification and risk–stratification guidelines. Single molecular analysis has become inefficient and molecular testing based on NGS is emerging as an irreplaceable diagnostic tool in clinical settings. The PETHEMA cooperative group has constituted a nationwide NGS network with centralized analysis in seven high–skilled laboratories. The study of molecular profiles in the “real–life” PETHEMA cohort supports the increasing role of NGS on the clinical management of AML patients. ABSTRACT: Next–Generation Sequencing (NGS) implementation to perform accurate diagnosis in acute myeloid leukemia (AML) represents a major challenge for molecular laboratories in terms of specialization, standardization, costs and logistical support. In this context, the PETHEMA cooperative group has established the first nationwide diagnostic network of seven reference laboratories to provide standardized NGS studies for AML patients. Cross–validation (CV) rounds are regularly performed to ensure the quality of NGS studies and to keep updated clinically relevant genes recommended for NGS study. The molecular characterization of 2856 samples (1631 derived from the NGS–AML project; NCT03311815) with standardized NGS of consensus genes (ABL1, ASXL1, BRAF, CALR, CBL, CEBPA, CSF3R, DNMT3A, ETV6, EZH2, FLT3, GATA2, HRAS, IDH1, IDH2, JAK2, KIT, KRAS, MPL, NPM1, NRAS, PTPN11, RUNX1, SETBP1, SF3B1, SRSF2, TET2, TP53, U2AF1 and WT1) showed 97% of patients having at least one mutation. The mutational profile was highly variable according to moment of disease, age and sex, and several co–occurring and exclusion relations were detected. Molecular testing based on NGS allowed accurate diagnosis and reliable prognosis stratification of 954 AML patients according to new genomic classification proposed by Tazi et al. Novel molecular subgroups, such as mutated WT1 and mutations in at least two myelodysplasia–related genes, have been associated with an adverse prognosis in our cohort. In this way, the PETHEMA cooperative group efficiently provides an extensive molecular characterization for AML diagnosis and risk stratification, ensuring technical quality and equity in access to NGS studies. MDPI 2023-01-10 /pmc/articles/PMC9856266/ /pubmed/36672386 http://dx.doi.org/10.3390/cancers15020438 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 | Article Sargas, Claudia Ayala, Rosa Larráyoz, María José Chillón, María Carmen Carrillo-Cruz, Estrella Bilbao-Sieyro, Cristina Prados de la Torre, Esther Martínez-Cuadrón, David Rodríguez-Veiga, Rebeca Boluda, Blanca Gil, Cristina Bernal, Teresa Bergua, Juan Miguel Algarra, Lorenzo Tormo, Mar Martínez-Sánchez, Pilar Soria, Elena Serrano, Josefina Alonso-Domínguez, Juan Manuel García-Boyero, Raimundo Amigo, María Luz Herrera-Puente, Pilar Sayas, María José Lavilla-Rubira, Esperanza Martínez-López, Joaquín Calasanz, María José García-Sanz, Ramón Pérez-Simón, José Antonio Gómez-Casares, María Teresa Sánchez-García, Joaquín Barragán, Eva Montesinos, Pau Molecular Landscape and Validation of New Genomic Classification in 2668 Adult AML Patients: Real Life Data from the PETHEMA Registry |
title | Molecular Landscape and Validation of New Genomic Classification in 2668 Adult AML Patients: Real Life Data from the PETHEMA Registry |
title_full | Molecular Landscape and Validation of New Genomic Classification in 2668 Adult AML Patients: Real Life Data from the PETHEMA Registry |
title_fullStr | Molecular Landscape and Validation of New Genomic Classification in 2668 Adult AML Patients: Real Life Data from the PETHEMA Registry |
title_full_unstemmed | Molecular Landscape and Validation of New Genomic Classification in 2668 Adult AML Patients: Real Life Data from the PETHEMA Registry |
title_short | Molecular Landscape and Validation of New Genomic Classification in 2668 Adult AML Patients: Real Life Data from the PETHEMA Registry |
title_sort | molecular landscape and validation of new genomic classification in 2668 adult aml patients: real life data from the pethema registry |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9856266/ https://www.ncbi.nlm.nih.gov/pubmed/36672386 http://dx.doi.org/10.3390/cancers15020438 |
work_keys_str_mv | AT sargasclaudia molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT ayalarosa molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT larrayozmariajose molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT chillonmariacarmen molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT carrillocruzestrella molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT bilbaosieyrocristina molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT pradosdelatorreesther molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT martinezcuadrondavid molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT rodriguezveigarebeca molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT boludablanca molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT gilcristina molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT bernalteresa molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT berguajuanmiguel molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT algarralorenzo molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT tormomar molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT martinezsanchezpilar molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT soriaelena molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT serranojosefina molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT alonsodominguezjuanmanuel molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT garciaboyeroraimundo molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT amigomarialuz molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT herrerapuentepilar molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT sayasmariajose molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT lavillarubiraesperanza molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT martinezlopezjoaquin molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT calasanzmariajose molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT garciasanzramon molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT perezsimonjoseantonio molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT gomezcasaresmariateresa molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT sanchezgarciajoaquin molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT barraganeva molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT montesinospau molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry AT molecularlandscapeandvalidationofnewgenomicclassificationin2668adultamlpatientsreallifedatafromthepethemaregistry |