Evidence map›Paper›PMID 40699404›Full record

ArticleBiochemical genetics2026

Identification of Prognostic-Related Genes in Acute Myeloid Leukemia: A Study Based on TCGA Data Analysis.

Fatemeh Sadat Shafiei, Saeid Abroun, Sadaf Vahdat, Ali Arash Anoushirvani, Mohammad Rafiee

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Article in Biochemical genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Fatemeh Sadat ShafieiDepartment of Medical Laboratory Sciences, School of Paramedical Sciences, Zanjan University of Medical Sciences, Zanjan, Zanjan Province, Iran.
Saeid AbrounDepartment of Hematology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Sadaf VahdatApplied Cell Sciences Division, Department of Hematology, Faculty of Medical Sciences, Tarbiat Modares University, Tehran, Iran.
Ali Arash AnoushirvaniDepartment of Internal Medicine, School of Medicine, Firoozgar General Hospital, Iran University of Medical Sciences, Tehran, Iran.
Mohammad RafieeDepartment of Medical Laboratory Sciences, School of Paramedical Sciences, Zanjan University of Medical Sciences, Zanjan, Zanjan Province, Iran. m.rafiee911@gmail.com.

Funding

Zanjan University of Medical Sciences No A-12-1757-9.
6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is the most common type of leukemia in adults, primarily caused by multiple gene mutations and abnormal gene expression. Molecular heterogeneity among AML patients can lead to the variation of treatment outcomes, and the prognostic significance of genetic disruptions is crucial for treatment decisions. Therefore, in this study, we intended to identify novel potential prognosis-related genes in AML patients. This study comprehensively assessed transcriptomic data of primary AML patients from TARGET and BEAT-AML cohorts from the TCGA database. The common differentially expressed mRNAs (DEmRNAs) of the study groups were determined and screened to identify genes that indicated a correlation between their expression levels and the overall survival (OS) of AML patients. Moreover, RT-PCR was used to compare the expression of the identified prognosis-related genes between AML patients and non-leukemic groups to confirm the obtained bioinformatics data. The analysis resulted in the identification of 39 common significant DEmRNAs in both cohorts. Moreover, among the identified common genes, the expression levels of two genes, MME and RBM11, significantly correlated with the OS of AML patients; it was revealed that there was a significant negative correlation between a higher survival rate in AML patients and the lower expression of MME (log-rank P = 1.3*10

Indexed as

Biomarkers, TumorLeukemia, Myeloid, AcuteDatabases, GeneticFemaleGene Expression ProfilingGene Expression Regulation, LeukemicHumansMaleMiddle AgedPrognosisRNA-Binding ProteinsTranscriptomeBiomarkers, TumorRNA-Binding ProteinsAcute myeloid leukemiaDifferentially expressed genesPrognosisSurvival analysisTCGA

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.