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. 2023 Aug;65(8):1242-1252.
doi: 10.1007/s12033-022-00623-9. Epub 2022 Dec 7.

Enhanced MCM5 Level Predicts Bad Prognosis in Acute Myeloid Leukemia

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Enhanced MCM5 Level Predicts Bad Prognosis in Acute Myeloid Leukemia

Shuming Wang et al. Mol Biotechnol. 2023 Aug.

Abstract

Acute myeloid leukemia (AML) is a fatal heterogeneous hematologic malignancy. There is an urgent need to identify potential biomarkers to better classify sufferers with bad outcomes that might need more advanced treatment. The objective of this study was to investigate prognostic indicators that predict the outcome of sufferers with AML. The datasets of AML sufferers including mRNA sequencing data and clinical information were acquired from GEO datasets (GSE38865) and TCGA datasets. Kaplan-Meier curves and Cox regression analysis to screen genes correlated to survival. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses biological process analysis were utilized in verifying the function of various genes. Sufferers with elevated MCM5 level exhibited a worse prognosis, according to the survival analysis. It was indicated through multivariate and univariate analysis that MCM5 level was an independent adverse prognostic element for over survival in AML sufferers based on GEO and TCGA datasets. Meanwhile, MCM5 level in AML samples was higher than in normal samples. Additionally, it was indicated through PPI network and functional enrichment analyses that through accelerating cell cycle and DNA replication, MCM5 promoted AML progression. In conclusions, MCM5 level was an independent poor prognostic element in AML sufferers based on GEO and TCGA datasets. This is the first time that MCM5 is reported to be a biomarker of poor prognosis in AML.

Keywords: Acute myeloid leukemia; DNA replication; MCM5; Prognosis; Prognostic marker.

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Conflict of interest statement

The authors declare that there is no conflict of interest.

Figures

Fig. 1
Fig. 1
Survival outcomes in MCM5 high group and MCM5 low groups through GEPIA. AML sufferers in MCM5 high group had worse outcome than that in MCM5 low group
Fig. 2
Fig. 2
Survival analysis and Cox regression analysis of MCM5 in GSE38865. A Survival analysis betwixt MCM5 high group and MCM5 low groups in GSE38865. B Univariate Cox regression analysis and C multivariate Cox regression analysis screened out the individual prognostic-related element
Fig. 3
Fig. 3
Survival analysis and Cox regression analysis of MCM5 in TCGA. A Survival analysis betwixt MCM5 high group and MCM5 low groups based on TCGA data. B Univariate Cox regression analysis and C multivariate Cox regression analysis screened out the individual prognostic-related element
Fig. 4
Fig. 4
The level of MCM5. A The level of MCM5 in AML blood compared with healthy blood based on GSE142698. B MCM5 level in AML bone marrow samples compared with T-ALL bone marrow samples based on GSE131184
Fig. 5
Fig. 5
DEGs and the results of GO enrichment and KEGG analyses. A Volcano plot show DEGs betwixt MCM5 high group and MCM5 low groups. B Heatmap plot show the top 20 up-modulated DEGs and top 20 down-modulated DEGs betwixt MCM5 high group and MCM5 low groups. C GO result for DEGs. D KEGG result for DEGs
Fig. 6
Fig. 6
Module screening from the PPI network. A The correlation analysis of top 20 up-modulated DEGs and top 20 down-modulated DEGs with the Pearson correlation coefficient. B PPI network of DEGs

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