Literature DB >> 34410352

Genetic identification of patients with AML older than 60 years achieving long-term survival with intensive chemotherapy.

Raphael Itzykson1,2, Elise Fournier3, Céline Berthon3, Christoph Röllig4,5, Thorsten Braun6, Alice Marceau-Renaut3, Cécile Pautas7, Olivier Nibourel3, Emilie Lemasle8, Jean-Baptiste Micol9, Lionel Adès10, Delphine Lebon11, Jean-Valère Malfuson12, Lauris Gastaud13, Laure Goursaud3, Emmanuel Raffoux1, Kevin-James Wattebled14, Philippe Rousselot15,16, Xavier Thomas17, Sylvain Chantepie18, Thomas Cluzeau19, Hubert Serve20, Nicolas Boissel21, Christine Terré22, Karine Celli-Lebras23, Claude Preudhomme3, Christian Thiede4, Hervé Dombret1,24, Claude Gardin6,24, Nicolas Duployez3.   

Abstract

To design a simple and reproducible classifier predicting the overall survival (OS) of patients with acute myeloid leukemia (AML) ≥60 years of age treated with 7 + 3, we sequenced 37 genes in 471 patients from the ALFA1200 (Acute Leukemia French Association) study (median age, 68 years). Mutation patterns and OS differed between the 84 patients with poor-risk cytogenetics and the 387 patients with good (n = 13), intermediate (n = 339), or unmeasured (n = 35) cytogenetic risk. TP53 (hazards ratio [HR], 2.49; P = .0003) and KRAS (HR, 3.60; P = .001) mutations independently worsened the OS of patients with poor-risk cytogenetics. In those without poor-risk cytogenetics, NPM1 (HR, 0.57; P = .0004), FLT3 internal tandem duplications with low (HR, 1.85; P = .0005) or high (HR, 3.51; P < 10-4) allelic ratio, DNMT3A (HR, 1.86; P < 10-4), NRAS (HR, 1.54; P = .019), and ASXL1 (HR, 1.89; P = .0003) mutations independently predicted OS. Combining cytogenetic risk and mutations in these 7 genes, 39.1% of patients could be assigned to a "go-go" tier with a 2-year OS of 66.1%, 7.6% to the "no-go" group (2-year OS 2.8%), and 3.3% of to the "slow-go" group (2-year OS of 39.1%; P < 10-5). Across 3 independent validation cohorts, 31.2% to 37.7% and 11.2% to 13.5% of patients were assigned to the go-go and the no-go tiers, respectively, with significant differences in OS between tiers in all 3 trial cohorts (HDF [Hauts-de-France], n = 141, P = .003; and SAL [Study Alliance Leukemia], n = 46; AMLSG [AML Study Group], n = 223, both P < 10-5). The ALFA decision tool is a simple, robust, and discriminant prognostic model for AML patients ≥60 years of age treated with intensive chemotherapy. This model can instruct the design of trials comparing the 7 + 3 standard of care with less intensive regimens.
© 2021 by The American Society of Hematology.

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Year:  2021        PMID: 34410352     DOI: 10.1182/blood.2021011103

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  7 in total

Review 1.  How Genetics Can Drive Initial Therapy Choices for Older Patients with Acute Myeloid Leukemia.

Authors:  Jozal W Moore; Nancy Torres; Michael Superdock; Jason H Mendler; Kah Poh Loh
Journal:  Curr Treat Options Oncol       Date:  2022-06-10

2.  Screening a Targeted Panel of Genes by Next-Generation Sequencing Improves Risk Stratification in Real World Patients with Acute Myeloid Leukemia.

Authors:  Sónia Matos; Paulo Bernardo; Susana Esteves; Aida Botelho de Sousa; Marcos Lemos; Patrícia Ribeiro; Madalena Silva; Albertina Nunes; Joana Lobato; Maria de Jesus Frade; Maria Gomes da Silva; Sérgio Chacim; José Mariz; Graça Esteves; João Raposo; Ana Espadana; José Carda; Pedro Barbosa; Vânia Martins; Maria Carmo-Fonseca; Joana Desterro
Journal:  Cancers (Basel)       Date:  2022-06-30       Impact factor: 6.575

3.  Impact of diagnostic genetics on remission MRD and transplantation outcomes in older patients with AML.

Authors:  H Moses Murdock; Haesook T Kim; Nathan Denlinger; Pankit Vachhani; Bryan Hambley; Bryan S Manning; Shannon Gier; Christina Cho; Harrison K Tsai; Shannon McCurdy; Vincent T Ho; John Koreth; Robert J Soiffer; Jerome Ritz; Martin P Carroll; Sumithira Vasu; Miguel-Angel Perales; Eunice S Wang; Lukasz P Gondek; Steven Devine; Edwin P Alyea; R Coleman Lindsley; Christopher J Gibson
Journal:  Blood       Date:  2022-06-16       Impact factor: 25.476

Review 4.  The spectrum of genetic mutations in myelodysplastic syndrome: Should we update prognostication?

Authors:  Michael R Cook; Judith E Karp; Catherine Lai
Journal:  EJHaem       Date:  2021-11-01

5.  RAS activation induces synthetic lethality of MEK inhibition with mitochondrial oxidative metabolism in acute myeloid leukemia.

Authors:  Justine Decroocq; Rudy Birsen; Camille Montersino; Prasad Chaskar; Jordi Mano; Laury Poulain; Chloe Friedrich; Anne-Sophie Alary; Helene Guermouche; Ambrine Sahal; Guillemette Fouquet; Mathilde Gotanègre; Federico Simonetta; Sarah Mouche; Pierre Gestraud; Auriane Lescure; Elaine Del Nery; Claudie Bosc; Adrien Grenier; Fetta Mazed; Johanna Mondesir; Nicolas Chapuis; Liza Ho; Aicha Boughalem; Marc Lelorc'h; Camille Gobeaux; Michaela Fontenay; Christian Recher; Norbert Vey; Arnaud Guillé; Daniel Birnbaum; Olivier Hermine; Isabelle Radford-Weiss; Petros Tsantoulis; Yves Collette; Rémy Castellano; Jean-Emmanuel Sarry; Eric Pasmant; Didier Bouscary; Olivier Kosmider; Jerome Tamburini
Journal:  Leukemia       Date:  2022-03-30       Impact factor: 12.883

Review 6.  A Focus on Intermediate-Risk Acute Myeloid Leukemia: Sub-Classification Updates and Therapeutic Challenges.

Authors:  Hassan Awada; Moaath K Mustafa Ali; Bicky Thapa; Hussein Awada; Leroy Seymour; Louisa Liu; Carmelo Gurnari; Ashwin Kishtagari; Eunice Wang; Maria R Baer
Journal:  Cancers (Basel)       Date:  2022-08-28       Impact factor: 6.575

7.  Integrative analysis identifies an older female-linked AML patient group with better risk in ECOG-ACRIN Cancer Research Group's clinical trial E3999.

Authors:  Franck Rapaport; Kenneth Seier; Yaseswini Neelamraju; Mithat Gönen; Ross Levine; Ari M Melnick; Maria Kleppe; Francine E Garrett-Bakelman; Duane Hassane; Timour Baslan; Daniel T Gildea; Samuel Haddox; Tak Lee; H Moses Murdock; Caroline Sheridan; Alexis Thurmond; Ling Wang; Martin Carroll; Larry D Cripe; Hugo Fernandez; Christopher E Mason; Elisabeth Paietta; Gail J Roboz; Zhuoxin Sun; Martin S Tallman; Yanming Zhang
Journal:  Blood Cancer J       Date:  2022-09-23       Impact factor: 9.812

  7 in total

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