Literature DB >> 29560083

Impact of CNA on AML prognosis.

Fanny Gonzales1, Meyling H Cheok1.   

Abstract

Entities:  

Keywords:  ERG; acute myeloid leukemia; copy-number alteration; cytogenetics; prognosis

Year:  2017        PMID: 29560083      PMCID: PMC5849147          DOI: 10.18632/oncotarget.23404

Source DB:  PubMed          Journal:  Oncotarget        ISSN: 1949-2553


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Acute myeloid leukemia (AML) is the most frequent acute hematologic malignancy in adults and five-year overall survival rates approach 60% in young adults and children but are only about 10% in the elderly patient population [1, 2]. AML is a heterogeneous disease exemplified by its clinical presentation, biological characteristics and varying degree of clinical response to chemotherapy. Despite this inherent heterogeneity, the therapeutic strategy is based on three prognostic risk groups (favorable, unfavorable or intermediate risk), the latter encompassing two thirds of all patients. This classification, largely based on specific cytogenetic and molecular abnormalities [2], is still suboptimal as prognosis and therapeutic response remain variable within each risk group. The discovery of new prognostic markers is needed to improve treatment stratification and subsequently patient outcomes. In this respect, we investigated copy number alterations (CNA) as potential new prognostic markers [3]. The underlying hypothesis is that cancer cells are characterized by an accumulation of genetic and genomic alterations [4, 5], CNA could constitute easily detectable prognostic markers, especially in cases of cytogenetic failure, related to technical issues occurring in about 10% of AML. Although some studies have associated presence of CNA with unfavorable prognosis in AML [5, 6, 7], no specific prognostic CNA profile had been identified so far. CNA were analyzed in paired diagnosis and complete remission bone marrow samples of 119 patients, collected at two French centers, by genome-wide high resolution SNP-array. Secondly, CNA found associated to AML treatment response or prognosis were studied in an independent national cohort of 248 patients (validation cohort) and in 170 samples provided by The Cancer Genome Atlas (TCGA), in order to validate their specificity. Overall, CNA were found in 50% of AML samples and most patients only have one CNA. Deletions were more frequent than amplifications and specific chromosomes were more frequently affected compared to others (i.e., chromosomes 8, 11 and 21 for amplifications and 7, 12, 17 and 21 for deletions). Four CNA were associated to prognosis: three amplifications (two on chromosome 21 and one on chromosome 11) and one deletion on chromosome 11. The presence of one of these 4 CNA (defined as “CNA marker”) increased mortality by 4 to 5 fold with a mean survival of 1.6 years compared to 5 years for patients with no “CNA marker”. These results were independently confirmed on the validation- and TCGA cohorts. These four CNA involve a total of 26 genes with various biological functions. In order to identify specific genes implicated in prognosis, mRNA expression at these chromosomal loci was assessed. Notably, the amplification at the 21q22.2 locus was significantly associated to an increase of ETS transcription factor (ERG) mRNA expression in the TCGA cohort, for which CNA and gene expression data were available. Moreover, an association between poor overall survival and ERG gain was found in all three cohorts. With regard to AML gene mutations, no association was found between “CNA marker” and gene mutations (i.e., IDH1/2, DNMT3A, RUNX1, TET2, ASXL1, NPM1, FLT3, CEBPα, MLL-PTD) or EVI1 over-expression. However, “CNA marker” was frequently associated with mutant TP53, one criteria of unfavorable risk according to ELN classification. Furthermore, AML with mutant TP53 have a high median number of CNA (8.5 versus 1 with wild-type TP53), supporting the association of TP53 mutation and increased genomic instability, characteristic of complex cytogenetics. Similarly, TP53 mutation was found in 71% of patients with ERG gain. Multivariate analyses showed that “CNA marker”, ERG gain and mutant TP53 refined current ELN classification. To test the impact of these two criteria on prognosis, we defined two new risk groups: – a “very unfavorable risk” group, part of the unfavorable risk group including AML cases with “CNA marker” or TP53 mutation and – a “unfavorable-like risk” group, part of the intermediate risk group including AML cases with “CNA marker”. With this refined prognostic classification scheme, 15% and 19% of patients were reclassified. All patients from the “very unfavorable risk group” had a median survival of less than 2 years and outcome tended to be worse in the “unfavorable like” group compared to the intermediate group. To better understand the mechanisms implied in the prognostic impact of “CNA marker”; we focused on chemotherapy resistance because the incidence of refractory disease was higher in the group with “CNA marker” compared to the group without (41 versus 14%). In particular, an ERG gain at the locus 21q22.2 was detected in 80% of refractory patients with “CNA marker”, and our ex vivo data confirmed higher resistance to cytarabine in association with ERG over-expression; implying that alternative therapies should be used in this group of patients. In conclusion, this study identified two new prognostic markers: “CNA marker” and ERG gain. These specific, robust and universal markers were associated with TP53 mutation, and could lead to better classification and treatment stratification of AML patients.
  6 in total

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2.  Genomic architecture and treatment outcome in pediatric acute myeloid leukemia: a Children's Oncology Group report.

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Journal:  Blood       Date:  2017-04-14       Impact factor: 22.113

Review 3.  The 2008 revision of the World Health Organization (WHO) classification of myeloid neoplasms and acute leukemia: rationale and important changes.

Authors:  James W Vardiman; Jüergen Thiele; Daniel A Arber; Richard D Brunning; Michael J Borowitz; Anna Porwit; Nancy Lee Harris; Michelle M Le Beau; Eva Hellström-Lindberg; Ayalew Tefferi; Clara D Bloomfield
Journal:  Blood       Date:  2009-04-08       Impact factor: 22.113

4.  Survival of European patients diagnosed with myeloid malignancies: a HAEMACARE study.

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Journal:  Haematologica       Date:  2012-09-14       Impact factor: 9.941

5.  Clinical impact of gene mutations and lesions detected by SNP-array karyotyping in acute myeloid leukemia patients in the context of gemtuzumab ozogamicin treatment: results of the ALFA-0701 trial.

Authors:  Aline Renneville; Raouf Ben Abdelali; Sylvie Chevret; Olivier Nibourel; Meyling Cheok; Cécile Pautas; Rémy Duléry; Thomas Boyer; Jean-Michel Cayuela; Sandrine Hayette; Emmanuel Raffoux; Hassan Farhat; Nicolas Boissel; Christine Terre; Hervé Dombret; Sylvie Castaigne; Claude Preudhomme
Journal:  Oncotarget       Date:  2014-02-28

6.  The landscape of somatic copy-number alteration across human cancers.

Authors:  Rameen Beroukhim; Craig H Mermel; Dale Porter; Guo Wei; Soumya Raychaudhuri; Jerry Donovan; Jordi Barretina; Jesse S Boehm; Jennifer Dobson; Mitsuyoshi Urashima; Kevin T Mc Henry; Reid M Pinchback; Azra H Ligon; Yoon-Jae Cho; Leila Haery; Heidi Greulich; Michael Reich; Wendy Winckler; Michael S Lawrence; Barbara A Weir; Kumiko E Tanaka; Derek Y Chiang; Adam J Bass; Alice Loo; Carter Hoffman; John Prensner; Ted Liefeld; Qing Gao; Derek Yecies; Sabina Signoretti; Elizabeth Maher; Frederic J Kaye; Hidefumi Sasaki; Joel E Tepper; Jonathan A Fletcher; Josep Tabernero; José Baselga; Ming-Sound Tsao; Francesca Demichelis; Mark A Rubin; Pasi A Janne; Mark J Daly; Carmelo Nucera; Ross L Levine; Benjamin L Ebert; Stacey Gabriel; Anil K Rustgi; Cristina R Antonescu; Marc Ladanyi; Anthony Letai; Levi A Garraway; Massimo Loda; David G Beer; Lawrence D True; Aikou Okamoto; Scott L Pomeroy; Samuel Singer; Todd R Golub; Eric S Lander; Gad Getz; William R Sellers; Matthew Meyerson
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  6 in total

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