ArticleMolecular biology reports2023
Molecular and clinical significance of FLT3, NPM1, DNMT3A and TP53 mutations in acute myeloid leukemia patients.
Article in Molecular biology reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 12 citations in OpenAlex.
- CharacterizingCancers · 2026Article
- Deciphering and targeting oncogenic pathways through integrated approaches and amino acid metabolism in hematologic malignancies.Discover oncology · 2025Review
- Article
- Research advances in the adjunctive diagnosis of acute myeloid leukemia.Frontiers in oncology · 2025Review
- Current knowledge about FLT3 gene mutations, exploring the isoforms, and protein importance in AML.Molecular biology reports · 2024Review
- Stem cell status and prognostic applications of cuproptosis-associated lncRNAs in acute myeloid leukemia.Frontiers in cell and developmental biology · 2024Article
- Clinical Characteristics and Outcomes of Acute Myeloid Leukemia Patients HarboringCancer control : journal of the Moffitt Cancer CenterArticle
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2 authors at 2 institutions in 1 country.
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Abstract
backgroundAcute myeloid leukemia (AML) is a type of blood cancer that affects the bone marrow and blood cells. AML is characterized by the rapid growth and accumulation of abnormal white blood cells, known as myeloblasts, which interfere with the production of normal blood cells.
aimsThe main aim was to determine the relationship between these genetic alterations and the clinico-haematological parameters and prognostic factors with therapy for Iraqi patients with AML.
methodsWe used Sanger Sequencing to detect the mutations in 76 AML patients. Clinical data of AML patients were retrospectively analysed to compare the prognosis of each gene mutation group.
resultsSomatic mutations were identified in 47.4% of the enrolled patients in a core set of pathogenic genes, including FLT3 (18 patients, 23.7%), DNMT3A (14, 18.4%), NPM1 (11, 14.5%) and TP53 (5, 6.8%). As multiple mutations frequently coexisted in the same patient, we classified patients into 10 further groups. Two novel mutations were detected in FLT3-ITD, with new accession numbers deposited into NCBI GenBank (OP807465 and OP807466). These two novel mutations were computationally analysed and predicted as disease-causing mutations. We found significant differences between patients with and without the detected mutations in disease progression after induction therapy (remission, failure and death; pv = < 0.001) and statistically significant differences were reported in total leukocyte count (pv = < 0.0001).
conclusionThese genes are among the most frequently mutated genes in AML patients. Understanding the molecular and clinical significance of these mutations is important for guiding treatment decisions and predicting patient outcomes.
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