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Integrated Analysis of Polymerase Family Gene Mutations in Acute Myeloid Leukemia: Clinical Features, Prognosis, and Bioinformatics Insights
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Integrated Analysis of Polymerase Family Gene Mutations in Acute Myeloid Leukemia: Clinical Features, Prognosis, and Bioinformatics Insights
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Journal Article
Integrated Analysis of Polymerase Family Gene Mutations in Acute Myeloid Leukemia: Clinical Features, Prognosis, and Bioinformatics Insights
2024
Overview
Background and Objectives: The long-term prognosis of acute myeloid leukemia (AML) is challenging due to limited understanding of the molecular markers involved in its development. This study investigates the role of DNA polymerases in AML to offer new insights for diagnosis and treatment. Materials and Methods: A retrospective study on pediatric AML patients with POL gene family mutations from 2021 to 2024 was conducted. Patients were categorized based on risk stratification criteria, and the DAH regimen was used for induction chemotherapy. Bioinformatics analysis integrated data from various databases to identify key genes and develop survival analysis plots and AUC curves. Results: The study included 59 pediatric AML patients, revealing no significant differences in demographic or clinical characteristics between those with and without POL family gene mutations. However, patients with POL gene mutations showed higher complete remission rates after initial DAH chemotherapy (91.67% vs. 59.57%, p = 0.03607), indicating a potential treatment benefit. High expression of four POL genes (POLD1, POLE, POLG, and POLQ) in bone marrow and immune cells suggests their crucial role in hematopoiesis and immune response. Survival analysis across different datasets indicated that AML patients with overexpressed POL family genes had significantly worse outcomes, proposing these genes as potential prognostic biomarkers for AML. Conclusions: This study on pediatric AML demonstrates that POL gene family mutations are associated with higher remission rates post-chemotherapy, indicating their potential as prognostic markers. Bioinformatics analysis emphasizes the significance of these mutations in AML, highlighting their impact on disease prognosis.
Publisher
MDPI AG
Subject
/ AML
/ Blood
/ Cancer
/ Child
/ Computational Biology - methods
/ DNA Polymerase gamma - genetics
/ DNA Polymerase II - genetics
/ DNA Polymerase III - genetics
/ Female
/ Genes
/ Genomes
/ Humans
/ Infant
/ Kinases
/ Leukemia
/ Leukemia, Myeloid, Acute - drug therapy
/ Leukemia, Myeloid, Acute - genetics
/ Male
/ Mutation
/ Sarcoma
/ Software
/ Tumors
