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The Mutational Landscape of Acute Myeloid Leukaemia Predicts Responses and Outcomes in Elderly Patients from the PETHEMA-FLUGAZA Phase 3 Clinical Trial
SIMPLE SUMMARY: Mutational profiling using a custom 43-gene next-generation sequencing panel revealed that patients with mutated DNMT3A or EZH2, or an increase in TET2 VAF and lower TP53 VAF showed a higher overall response. NRAS and TP53 variants were associated with shorter overall survival (OS),...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8158477/ https://www.ncbi.nlm.nih.gov/pubmed/34070172 http://dx.doi.org/10.3390/cancers13102458 |
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author | Ayala, Rosa Rapado, Inmaculada Onecha, Esther Martínez-Cuadrón, David Carreño-Tarragona, Gonzalo Bergua, Juan Miguel Vives, Susana Algarra, Jesus Lorenzo Tormo, Mar Martinez, Pilar Serrano, Josefina Herrera, Pilar Ramos, Fernando Salamero, Olga Lavilla, Esperanza Gil, Cristina López Lorenzo, Jose Luis Vidriales, María Belén Labrador, Jorge Falantes, José Francisco Sayas, María José Paiva, Bruno Barragán, Eva Prosper, Felipe Sanz, Miguel Ángel Martínez-López, Joaquín Montesinos, Pau |
author_facet | Ayala, Rosa Rapado, Inmaculada Onecha, Esther Martínez-Cuadrón, David Carreño-Tarragona, Gonzalo Bergua, Juan Miguel Vives, Susana Algarra, Jesus Lorenzo Tormo, Mar Martinez, Pilar Serrano, Josefina Herrera, Pilar Ramos, Fernando Salamero, Olga Lavilla, Esperanza Gil, Cristina López Lorenzo, Jose Luis Vidriales, María Belén Labrador, Jorge Falantes, José Francisco Sayas, María José Paiva, Bruno Barragán, Eva Prosper, Felipe Sanz, Miguel Ángel Martínez-López, Joaquín Montesinos, Pau |
author_sort | Ayala, Rosa |
collection | PubMed |
description | SIMPLE SUMMARY: Mutational profiling using a custom 43-gene next-generation sequencing panel revealed that patients with mutated DNMT3A or EZH2, or an increase in TET2 VAF and lower TP53 VAF showed a higher overall response. NRAS and TP53 variants were associated with shorter overall survival (OS), whereas only mutated BCOR was associated with a shorter relapse-free survival (RFS). Subgroup analyses of OS according to biological and genomic characteristics showed that patients with low–intermediate cytogenetic risk and mutated NRAS benefited from azacytidine therapy and patients with mutated TP53 showed a better RFS in the azacytidine arm. In conclusion, differential mutational profiling might anticipate the outcomes of first-line treatment choices (AZA or FLUGA) in older patients with AML. ABSTRACT: We sought to predict treatment responses and outcomes in older patients with newly diagnosed acute myeloid leukemia (AML) from our FLUGAZA phase III clinical trial (PETHEMA group) based on mutational status, comparing azacytidine (AZA) with fludarabine plus low-dose cytarabine (FLUGA). Mutational profiling using a custom 43-gene next-generation sequencing panel revealed differences in profiles between older and younger patients, and several prognostic markers that were useful in young patients were ineffective in older patients. We examined the associations between variables and overall responses at the end of the third cycle. Patients with mutated DNMT3A or EZH2 were shown to benefit from azacytidine in the treatment-adjusted subgroup analysis. An analysis of the associations with tumor burden using variant allele frequency (VAF) quantification showed that a higher overall response was associated with an increase in TET2 VAF (odds ratio (OR), 1.014; p = 0.030) and lower TP53 VAF (OR, 0.981; p = 0.003). In the treatment-adjusted multivariate survival analyses, only the NRAS (hazard ratio (HR), 1.9, p = 0.005) and TP53 (HR, 2.6, p = 9.8 × 10(−7)) variants were associated with shorter overall survival (OS), whereas only mutated BCOR (HR, 3.6, p = 0.0003) was associated with a shorter relapse-free survival (RFS). Subgroup analyses of OS according to biological and genomic characteristics showed that patients with low–intermediate cytogenetic risk (HR, 1.51, p = 0.045) and mutated NRAS (HR, 3.66, p = 0.047) benefited from azacytidine therapy. In the subgroup analyses, patients with mutated TP53 (HR, 4.71, p = 0.009) showed a better RFS in the azacytidine arm. In conclusion, differential mutational profiling might anticipate the outcomes of first-line treatment choices (AZA or FLUGA) in older patients with AML. The study is registered at ClinicalTrials.gov as NCT02319135. |
format | Online Article Text |
id | pubmed-8158477 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-81584772021-05-28 The Mutational Landscape of Acute Myeloid Leukaemia Predicts Responses and Outcomes in Elderly Patients from the PETHEMA-FLUGAZA Phase 3 Clinical Trial Ayala, Rosa Rapado, Inmaculada Onecha, Esther Martínez-Cuadrón, David Carreño-Tarragona, Gonzalo Bergua, Juan Miguel Vives, Susana Algarra, Jesus Lorenzo Tormo, Mar Martinez, Pilar Serrano, Josefina Herrera, Pilar Ramos, Fernando Salamero, Olga Lavilla, Esperanza Gil, Cristina López Lorenzo, Jose Luis Vidriales, María Belén Labrador, Jorge Falantes, José Francisco Sayas, María José Paiva, Bruno Barragán, Eva Prosper, Felipe Sanz, Miguel Ángel Martínez-López, Joaquín Montesinos, Pau Cancers (Basel) Article SIMPLE SUMMARY: Mutational profiling using a custom 43-gene next-generation sequencing panel revealed that patients with mutated DNMT3A or EZH2, or an increase in TET2 VAF and lower TP53 VAF showed a higher overall response. NRAS and TP53 variants were associated with shorter overall survival (OS), whereas only mutated BCOR was associated with a shorter relapse-free survival (RFS). Subgroup analyses of OS according to biological and genomic characteristics showed that patients with low–intermediate cytogenetic risk and mutated NRAS benefited from azacytidine therapy and patients with mutated TP53 showed a better RFS in the azacytidine arm. In conclusion, differential mutational profiling might anticipate the outcomes of first-line treatment choices (AZA or FLUGA) in older patients with AML. ABSTRACT: We sought to predict treatment responses and outcomes in older patients with newly diagnosed acute myeloid leukemia (AML) from our FLUGAZA phase III clinical trial (PETHEMA group) based on mutational status, comparing azacytidine (AZA) with fludarabine plus low-dose cytarabine (FLUGA). Mutational profiling using a custom 43-gene next-generation sequencing panel revealed differences in profiles between older and younger patients, and several prognostic markers that were useful in young patients were ineffective in older patients. We examined the associations between variables and overall responses at the end of the third cycle. Patients with mutated DNMT3A or EZH2 were shown to benefit from azacytidine in the treatment-adjusted subgroup analysis. An analysis of the associations with tumor burden using variant allele frequency (VAF) quantification showed that a higher overall response was associated with an increase in TET2 VAF (odds ratio (OR), 1.014; p = 0.030) and lower TP53 VAF (OR, 0.981; p = 0.003). In the treatment-adjusted multivariate survival analyses, only the NRAS (hazard ratio (HR), 1.9, p = 0.005) and TP53 (HR, 2.6, p = 9.8 × 10(−7)) variants were associated with shorter overall survival (OS), whereas only mutated BCOR (HR, 3.6, p = 0.0003) was associated with a shorter relapse-free survival (RFS). Subgroup analyses of OS according to biological and genomic characteristics showed that patients with low–intermediate cytogenetic risk (HR, 1.51, p = 0.045) and mutated NRAS (HR, 3.66, p = 0.047) benefited from azacytidine therapy. In the subgroup analyses, patients with mutated TP53 (HR, 4.71, p = 0.009) showed a better RFS in the azacytidine arm. In conclusion, differential mutational profiling might anticipate the outcomes of first-line treatment choices (AZA or FLUGA) in older patients with AML. The study is registered at ClinicalTrials.gov as NCT02319135. MDPI 2021-05-18 /pmc/articles/PMC8158477/ /pubmed/34070172 http://dx.doi.org/10.3390/cancers13102458 Text en © 2021 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 Ayala, Rosa Rapado, Inmaculada Onecha, Esther Martínez-Cuadrón, David Carreño-Tarragona, Gonzalo Bergua, Juan Miguel Vives, Susana Algarra, Jesus Lorenzo Tormo, Mar Martinez, Pilar Serrano, Josefina Herrera, Pilar Ramos, Fernando Salamero, Olga Lavilla, Esperanza Gil, Cristina López Lorenzo, Jose Luis Vidriales, María Belén Labrador, Jorge Falantes, José Francisco Sayas, María José Paiva, Bruno Barragán, Eva Prosper, Felipe Sanz, Miguel Ángel Martínez-López, Joaquín Montesinos, Pau The Mutational Landscape of Acute Myeloid Leukaemia Predicts Responses and Outcomes in Elderly Patients from the PETHEMA-FLUGAZA Phase 3 Clinical Trial |
title | The Mutational Landscape of Acute Myeloid Leukaemia Predicts Responses and Outcomes in Elderly Patients from the PETHEMA-FLUGAZA Phase 3 Clinical Trial |
title_full | The Mutational Landscape of Acute Myeloid Leukaemia Predicts Responses and Outcomes in Elderly Patients from the PETHEMA-FLUGAZA Phase 3 Clinical Trial |
title_fullStr | The Mutational Landscape of Acute Myeloid Leukaemia Predicts Responses and Outcomes in Elderly Patients from the PETHEMA-FLUGAZA Phase 3 Clinical Trial |
title_full_unstemmed | The Mutational Landscape of Acute Myeloid Leukaemia Predicts Responses and Outcomes in Elderly Patients from the PETHEMA-FLUGAZA Phase 3 Clinical Trial |
title_short | The Mutational Landscape of Acute Myeloid Leukaemia Predicts Responses and Outcomes in Elderly Patients from the PETHEMA-FLUGAZA Phase 3 Clinical Trial |
title_sort | mutational landscape of acute myeloid leukaemia predicts responses and outcomes in elderly patients from the pethema-flugaza phase 3 clinical trial |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8158477/ https://www.ncbi.nlm.nih.gov/pubmed/34070172 http://dx.doi.org/10.3390/cancers13102458 |
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