Diagnostic and prognostic relevance of RAF1 gene in acute myeloid leukemia

Acute Myeloid Leukemia (AML) demands precise diagnostic and prognostic tools for accurate detection and personalized-treatment strategies. Using Real-Time PCR, we investigated the RAF1, miR-146 b-3p, and Circ-RPL15 network expression in AML. Because RAF1 is a crucial gene involved in various ways, it is considered a potential biomarker for prognosis and diagnosis. While no significant correlation was found within the network, RAF1 expression showed a marked difference between groups. ROC curve analysis for RAF1 demonstrated promising diagnostic performance, and our bioinformatics investigations supported its strong prognostic potential. Identifying such biomarkers can aid in developing better management based on patients' characteristics.

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Journal
Leukemia Research Reports
Published
2025-01-01
DOI
https://doi.org/10.1016/j.lrr.2025.100528
Primary Topic
Retinoids in leukemia and cellular processes
Type
article
Field-Weighted Citation Impact
0.00

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article

Diagnostic and prognostic relevance of RAF1 gene in acute myeloid leukemia

Mohammad Sayyadi, Mohammad Rafiee, Sina Rahimpour, Seyedeh Zahra Shahrokhi et al.
Leukemia Research Reports
Retinoids in leukemia and cellular processes
article

Diagnostic and prognostic relevance of RAF1 gene in acute myeloid leukemia

Mohammad Sayyadi, Mohammad Rafiee, Sina Rahimpour, Seyedeh Zahra Shahrokhi, Yasin Mirazimi, Maryam Kargar
article en

Abstract

Acute Myeloid Leukemia (AML) demands precise diagnostic and prognostic tools for accurate detection and personalized-treatment strategies. Using Real-Time PCR, we investigated the RAF1, miR-146 b-3p, and Circ-RPL15 network expression in AML. Because RAF1 is a crucial gene involved in various ways, it is considered a potential biomarker for prognosis and diagnosis. While no significant correlation was found within the network, RAF1 expression showed a marked difference between groups. ROC curve analysis for RAF1 demonstrated promising diagnostic performance, and our bioinformatics investigations supported its strong prognostic potential. Identifying such biomarkers can aid in developing better management based on patients' characteristics.

Leukemia Research ReportsVol. 24
Hamedan University of Medical Sciences (IR), Zanjan University of Medical Sciences (IR), Arak University of Medical Sciences (IR), Aja University of Medical Sciences (IR), Shahid Beheshti University of Medical Sciences (IR)
Zanjan University of Medical Sciences
Good health and well-being
Openalex Percentile: Top 84%
Retinoids in leukemia and cellular processes
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