• J. Investig. Med. · Aug 2024

    EXPRESS: PTBP1 is a potential indicator of disease progression in acute myeloid leukaemia.

    • Lina Xing, Xuefei Guo, Xiaolei Zhang, Ying Wang, Feng He, and Jinhai Ren.
    • Department of Hematology, Hebei Key Laboratory of Hematology, The Second Hospital of Hebei Medical University, Shijiazhuang, P. R. China.
    • J. Investig. Med. 2024 Aug 19: 1081558924126478310815589241264783.

    AbstractThis study aimed to verify a novel potential indicator of disease progression in acute myeloid leukemia (AML) patients. Bone marrow samples were collected from 27 AML patients and 27 controls without hematological malignancies. Polypyrimidine tract-binding protein 1 (PTBP1) expression in bone marrow samples was measured, and the association of PTBP1 with the French-American-British (FAB) classification, cytogenetics, risk stratification, and complete remission (CR) rate was analyzed. The correlation between PTBP1 and Ki-67/p53 expression in AML patients was ultimately evaluated. The results showed that PTBP1 mRNA and protein levels were greater in AML patients than in controls. PTBP1 expression was able to distinguish between AML patients and controls (area under the curve, 0.8601; 95% confidence interval, 0.7632-0.9570). Furthermore, PTBP1 expression was associated with an increased frequency of internal tandem duplication mutations within FMS-like tyrosine kinase-3 (FLT3) and a complex karyotype, while PTBP1 expression was not correlated with FAB classification, monosomal karyotype, isolated biallelic CCAAT/enhancer-binding protein α (CEBPA) mutation, or nucleophosmin 1 (NPM1) mutation in patients with AML. Moreover, PTBP1 expression was associated with a poorer prognosis according to risk stratification and a lower CR rate in AML patients. In addition, PTBP1 expression was positively correlated with the expression of the proliferation marker Ki-67 and negatively correlated with the expression of the apoptosis marker p53 in AML patients. Overall, PTBP1 is a viable biomarker that contributes to the risk prediction and the determination of potential drug targets for AML.

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