Literature DB >> 30089916

The stem cell-associated gene expression signature allows risk stratification in pediatric acute myeloid leukemia.

Nicolas Duployez1,2, Alice Marceau-Renaut3,4, Céline Villenet5, Arnaud Petit6, Alexandra Rousseau7, Stanley W K Ng8, Agnès Paquet9, Fanny Gonzales4,10, Adeline Barthélémy4, Frédéric Leprêtre5, Nicolas Pottier11, Brigitte Nelken10, Gérard Michel12, André Baruchel13, Yves Bertrand14, Guy Leverger5, Hélène Lapillonne15, Martin Figeac5, John E Dick16, Jean C Y Wang16, Claude Preudhomme3,4, Meyling Cheok17.   

Abstract

Despite constant progress in prognostic risk stratification, children with acute myeloid leukemia (AML) still relapse. Treatment failure and subsequent relapse have been attributed to acute myeloid leukemia-initiating cells (LSC), which harbor stem cell properties and are inherently chemoresistant. Although pediatric and adult AML represent two genetically very distinct diseases, we reasoned that common LSC gene expression programs are shared and consequently, the highly prognostic LSC17 signature score recently developed in adults may also be of clinical interest in childhood AML. Here, we demonstrated prognostic relevance of the LSC17 score in pediatric non-core-binding factor AML using Nanostring technology (ELAM02) and RNA-seq data from the NCI (TARGET-AML). AML were stratified by LSC17 quartile groups (lowest 25%, intermediate 50% and highest 25%) and children with low LSC17 score had significantly better event-free survival (EFS: HR = 3.35 (95%CI = 1.64-6.82), P < 0.001) and overall survival (OS: HR = 3.51 (95%CI = 1.38-8.92), P = 0.008) compared with patients with high LSC17 scores. More importantly, the high LSC17 score was an independent negative EFS and OS prognosticator determined by multivariate Cox model analysis (EFS: HR = 3.42 (95% CI = 1.63-7.16), P = 0.001; OS HR = 3.02 (95%CI = 1.16-7.85), P = 0.026). In conclusion, we have demonstrated the broad applicability of the LSC17 score in the clinical management of AML by extending its prognostic relevance to pediatric AML.

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Year:  2018        PMID: 30089916     DOI: 10.1038/s41375-018-0227-5

Source DB:  PubMed          Journal:  Leukemia        ISSN: 0887-6924            Impact factor:   11.528


  24 in total

Review 1.  Not Only Mutations Matter: Molecular Picture of Acute Myeloid Leukemia Emerging from Transcriptome Studies.

Authors:  Luiza Handschuh
Journal:  J Oncol       Date:  2019-07-30       Impact factor: 4.375

2.  Horizontal meta-analysis identifies common deregulated genes across AML subgroups providing a robust prognostic signature.

Authors:  Ali Nehme; Hassan Dakik; Frédéric Picou; Meyling Cheok; Claude Preudhomme; Hervé Dombret; Juliette Lambert; Emmanuel Gyan; Arnaud Pigneux; Christian Récher; Marie C Béné; Fabrice Gouilleux; Kazem Zibara; Olivier Herault; Frédéric Mazurier
Journal:  Blood Adv       Date:  2020-10-27

3.  A parsimonious 3-gene signature predicts clinical outcomes in an acute myeloid leukemia multicohort study.

Authors:  Sarah Wagner; Jayakumar Vadakekolathu; Sarah K Tasian; Heidi Altmann; Martin Bornhäuser; A Graham Pockley; Graham R Ball; Sergio Rutella
Journal:  Blood Adv       Date:  2019-04-23

4.  A six-gene prognostic signature for both adult and pediatric acute myeloid leukemia identified with machine learning.

Authors:  Zhenqiu Liu; Irina Elcheva
Journal:  Am J Transl Res       Date:  2022-09-15       Impact factor: 3.940

5.  A primary hierarchically organized patient-derived model enables in depth interrogation of stemness driven by the coding and non-coding genome.

Authors:  Héléna Boutzen; Seyed Ali Madani Tonekaboni; Michelle Chan-Seng-Yue; Alex Murison; Naoya Takayama; Nathan Mbong; Elvin Wagenblast; Elias Orouji; Andrea Arruda; Amanda Mitchell; Faiyaz Notta; Mark D Minden; Mathieu Lupien; Kerstin B Kaufmann; John E Dick
Journal:  Leukemia       Date:  2022-09-21       Impact factor: 12.883

Review 6.  Relapsed acute myeloid leukemia in children and adolescents: current treatment options and future strategies.

Authors:  Sara Zarnegar-Lumley; Kenneth J Caldwell; Jeffrey E Rubnitz
Journal:  Leukemia       Date:  2022-06-06       Impact factor: 12.883

7.  Deciphering molecular heterogeneity in pediatric AML using a cancer vs. normal transcriptomic approach.

Authors:  Barbara Depreter; Barbara De Moerloose; Karl Vandepoele; Anne Uyttebroeck; An Van Damme; Eva Terras; Barbara Denys; Laurence Dedeken; Marie-Françoise Dresse; Jutte Van der Werff Ten Bosch; Mattias Hofmans; Jan Philippé; Tim Lammens
Journal:  Pediatr Res       Date:  2020-10-17       Impact factor: 3.756

8.  Studying leukemia stem cell properties and vulnerabilities with human iPSCs.

Authors:  Nikolaos Spyrou; Eirini P Papapetrou
Journal:  Stem Cell Res       Date:  2020-12-10       Impact factor: 1.587

9.  Leukemia Stem Cells in the Pathogenesis, Progression, and Treatment of Acute Myeloid Leukemia.

Authors:  Kanak Joshi; Lei Zhang; Peter Breslin S J; Jiwang Zhang
Journal:  Adv Exp Med Biol       Date:  2019       Impact factor: 3.650

10.  Quantitative single-cell proteomics as a tool to characterize cellular hierarchies.

Authors:  Erwin M Schoof; Benjamin Furtwängler; Nil Üresin; Nicolas Rapin; Simonas Savickas; Coline Gentil; Eric Lechman; Ulrich Auf dem Keller; John E Dick; Bo T Porse
Journal:  Nat Commun       Date:  2021-06-07       Impact factor: 14.919

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