Evidence map›Paper›PMID 38254139›Full record

ArticleClinical epigenetics2024

MethScore as a new comprehensive DNA methylation-based value refining the prognosis in acute myeloid leukemia.

Šárka Šestáková, Cyril Šálek, Dávid Kundrát, Ela Cerovská, Jan Vydra, Ivana Ježíšková, Adam Folta, Jiří Mayer, Petr Cetkovský, Hana Remešová

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Article in Clinical epigenetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Šárka ŠestákováInstitute of Hematology and Blood Transfusion, U Nemocnice 1, 128 00, Prague, Czech Republic.
Cyril ŠálekInstitute of Hematology and Blood Transfusion, U Nemocnice 1, 128 00, Prague, Czech Republic.
Dávid KundrátInstitute of Hematology and Blood Transfusion, U Nemocnice 1, 128 00, Prague, Czech Republic.
Ela CerovskáInstitute of Hematology and Blood Transfusion, U Nemocnice 1, 128 00, Prague, Czech Republic.
Jan VydraInstitute of Hematology and Blood Transfusion, U Nemocnice 1, 128 00, Prague, Czech Republic.
Ivana JežíškováDepartment of Internal Medicine, Hematology and Oncology, University Hospital Brno and Masaryk University, School of Medicine, Brno, Czech Republic.
Adam FoltaDepartment of Internal Medicine, Hematology and Oncology, University Hospital Brno and Masaryk University, School of Medicine, Brno, Czech Republic.
Jiří MayerDepartment of Internal Medicine, Hematology and Oncology, University Hospital Brno and Masaryk University, School of Medicine, Brno, Czech Republic.
Petr CetkovskýInstitute of Hematology and Blood Transfusion, U Nemocnice 1, 128 00, Prague, Czech Republic.
Hana RemešováInstitute of Hematology and Blood Transfusion, U Nemocnice 1, 128 00, Prague, Czech Republic. hana.remesova@uhkt.cz.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChanges in DNA methylation are common events in the pathogenesis of acute myeloid leukemia (AML) and have been repeatedly reported as associated with prognosis. However, studies integrating these numerous and potentially prognostically relevant DNA methylation changes are lacking. Therefore, we aimed for an overall evaluation of these epigenetic aberrations to provide a comprehensive NGS-based approach of DNA methylation assessment for AML prognostication.

resultsWe designed a sequencing panel targeting 239 regions (approx. 573 kb of total size) described in the literature as having a prognostic impact or being associated with AML pathogenesis. Diagnostic whole-blood DNA samples of adult AML patients divided into a training (n = 128) and a testing cohort (n = 50) were examined. The libraries were prepared using SeqCap Epi Enrichments System (Roche) and sequenced on MiSeq instrument (Illumina). Altogether, 1935 CpGs affecting the survival (p < 0.05) were revealed in the training cohort. A summarizing value MethScore was then calculated from these significant CpGs. Patients with lower MethScore had markedly longer overall survival (OS) and event-free survival (EFS) than those with higher MethScore (p < 0.001). The predictive ability of MethScore was verified on the independent testing cohort for OS (p = 0.01). Moreover, the proof-of-principle validation was performed using the TCGA dataset.

conclusionsWe showed that comprehensive NGS-based approach of DNA methylation assessment revealed a robust epigenetic signature relevant to AML outcome. We called this signature MethScore and showed it might serve as a strong prognostic marker able to refine survival probability of AML patients.

Indexed as

DNA MethylationLeukemia, Myeloid, AcuteAdultEpigenomicsHumansPrognosisProgression-Free SurvivalAcute myeloid leukemiaDNA methylationNGSPrognosis

Identifiers

PMID38254139
PMCPMC10802002

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