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Enhanced MCM5 Level Predicts Bad Prognosis in Acute Myeloid Leukemia

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 pre...

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Autores principales: Wang, Shuming, Wu, Weiqin, Han, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10352173/
https://www.ncbi.nlm.nih.gov/pubmed/36479666
http://dx.doi.org/10.1007/s12033-022-00623-9
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author Wang, Shuming
Wu, Weiqin
Han, Xiang
author_facet Wang, Shuming
Wu, Weiqin
Han, Xiang
author_sort Wang, Shuming
collection PubMed
description 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12033-022-00623-9.
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spelling pubmed-103521732023-07-19 Enhanced MCM5 Level Predicts Bad Prognosis in Acute Myeloid Leukemia Wang, Shuming Wu, Weiqin Han, Xiang Mol Biotechnol Original Paper 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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s12033-022-00623-9. Springer US 2022-12-07 2023 /pmc/articles/PMC10352173/ /pubmed/36479666 http://dx.doi.org/10.1007/s12033-022-00623-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Paper
Wang, Shuming
Wu, Weiqin
Han, Xiang
Enhanced MCM5 Level Predicts Bad Prognosis in Acute Myeloid Leukemia
title Enhanced MCM5 Level Predicts Bad Prognosis in Acute Myeloid Leukemia
title_full Enhanced MCM5 Level Predicts Bad Prognosis in Acute Myeloid Leukemia
title_fullStr Enhanced MCM5 Level Predicts Bad Prognosis in Acute Myeloid Leukemia
title_full_unstemmed Enhanced MCM5 Level Predicts Bad Prognosis in Acute Myeloid Leukemia
title_short Enhanced MCM5 Level Predicts Bad Prognosis in Acute Myeloid Leukemia
title_sort enhanced mcm5 level predicts bad prognosis in acute myeloid leukemia
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10352173/
https://www.ncbi.nlm.nih.gov/pubmed/36479666
http://dx.doi.org/10.1007/s12033-022-00623-9
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