| Literature DB >> 33683341 |
Christopher J Walker1, Krzysztof Mrózek1, Hatice Gulcin Ozer1, Deedra Nicolet1,2, Jessica Kohlschmidt1,2, Dimitrios Papaioannou1, Luke K Genutis1, Marius Bill1, Bayard L Powell3, Geoffrey L Uy4, Jonathan E Kolitz5, Andrew J Carroll6, Richard M Stone7, Ramiro Garzon1, John C Byrd1, Ann-Kathrin Eisfeld1, Albert de la Chapelle1, Clara D Bloomfield1.
Abstract
Although ∼80% of adult patients with cytogenetically normal acute myeloid leukemia (CN-AML) achieve a complete remission (CR), more than half of them relapse. Better identification of patients who are likely to relapse can help to inform clinical decisions. We performed RNA sequencing on pretreatment samples from 268 adults with de novo CN-AML who were younger than 60 years of age and achieved a CR after induction treatment with standard "7+3" chemotherapy. After filtering for genes whose expressions were associated with gene mutations known to impact outcome (ie, CEBPA, NPM1, and FLT3-internal tandem duplication [FLT3-ITD]), we identified a 10-gene signature that was strongly predictive of patient relapse (area under the receiver operating characteristics curve [AUC], 0.81). The signature consisted of 7 coding genes (GAS6, PSD3, PLCB4, DEXI, JMY, NRP1, C10orf55) and 3 long noncoding RNAs. In multivariable analysis, the 10-gene signature was strongly associated with relapse (P < .001), after adjustment for the FLT3-ITD, CEBPA, and NPM1 mutational status. Validation of the expression signature in an independent patient set from The Cancer Genome Atlas showed the signature's strong predictive value, with AUC = 0.78. Implementation of the 10-gene signature into clinical prognostic stratification could be useful for identifying patients who are likely to relapse.Entities:
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Year: 2021 PMID: 33683341 PMCID: PMC7948288 DOI: 10.1182/bloodadvances.2020003727
Source DB: PubMed Journal: Blood Adv ISSN: 2473-9529