A novel scoring system for acute myeloid leukemia risk assessment based on the expression levels of six genes.
Int J Mol Med
; 42(3): 1495-1507, 2018 Sep.
Article
en En
| MEDLINE
| ID: mdl-29956722
ABSTRACT
Acute myeloid leukemia (AML) is the most common type of acute leukemia and is a heterogeneous clonal disorder. At present, the pathogenesis of AML and potential methods to effectively prevent AML have become areas of interest in research. In the present study, two messenger ribonucleic acid sequencing datasets of patients with AML were downloaded from the Cancer Genome Atlas and Gene Expression Omnibus databases. The differentially expressed genes (DEGs) of the poor and good prognosis groups were screened using the Linear Models for Microarray Data package, and the prognosisrelated genes were screened using univariate Cox regression analysis. A total of 206 significant DEGs were identified. Following univariate and multivariate Cox regression analysis, 14 genes significantly associated with prognosis were screened and six of these genes, including triggering receptor expressed on myeloid cells 2 (TREML2), cysteineglutamate transporter (SLC7A11), NACHT, LRR, and PYD domainscontaining protein 2 (NLRP2), DNA damageinducible transcript 4 protein (DDIT4), lymphocytespecific protein 1 (LSP1) and Ctype lectin domain family 11 member A (CLEC11A), were used to construct model equations for risk assessment. The prognostic scoring system was used to evaluate risk for each patient, and the results showed that patients in the lowrisk group had a longer survival time, compared with those in the highrisk group (P=9.59e06 for the training dataset and P=0.00543 for the validation dataset). A total of eight main Kyoto Encyclopedia of Genes and Genomes pathways were identified, the top three of which were hematopoietic cell lineage, focal adhesion, and regulation of actin cytoskeleton. Taken together, the results showed that the scoring system established in the present study was credible and that the six genes were identified, which were significantly associated with the risk assessment of AML, offer potential as prognostic biomarkers. These findings may provide clues for further clarifying the pathogenesis of AML.
Texto completo:
1
Banco de datos:
MEDLINE
Asunto principal:
Leucemia Mieloide Aguda
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Regulación Leucémica de la Expresión Génica
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Medición de Riesgo
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Genes Relacionados con las Neoplasias
Tipo de estudio:
Etiology_studies
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Prognostic_studies
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Risk_factors_studies
Límite:
Female
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Humans
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Male
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Middle aged
Idioma:
En
Año:
2018
Tipo del documento:
Article