Fatemeh Sadat Shafiei, Saeid Abroun, Sadaf Vahdat, Ali Arash Anoushirvani, Mohammad Rafiee
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引用次数: 0
Abstract
Acute myeloid leukemia (AML) is the most common type of leukemia in adults, primarily caused by multiple gene mutations and abnormal gene expression. Molecular heterogeneity among AML patients can lead to the variation of treatment outcomes, and the prognostic significance of genetic disruptions is crucial for treatment decisions. Therefore, in this study, we intended to identify novel potential prognosis-related genes in AML patients. This study comprehensively assessed transcriptomic data of primary AML patients from TARGET and BEAT-AML cohorts from the TCGA database. The common differentially expressed mRNAs (DEmRNAs) of the study groups were determined and screened to identify genes that indicated a correlation between their expression levels and the overall survival (OS) of AML patients. Moreover, RT-PCR was used to compare the expression of the identified prognosis-related genes between AML patients and non-leukemic groups to confirm the obtained bioinformatics data. The analysis resulted in the identification of 39 common significant DEmRNAs in both cohorts. Moreover, among the identified common genes, the expression levels of two genes, MME and RBM11, significantly correlated with the OS of AML patients; it was revealed that there was a significant negative correlation between a higher survival rate in AML patients and the lower expression of MME (log-rank P = 1.3*10-7 and Hazard Ratio (HR = 1.38 (1.22-1.56)) and RBM11 (log-rank P = 0.016 and HR = 1.25 (1.04-1.5)). Furthermore, RT-PCR data confirmed the expected differential expression of identified genes between patient and control samples. In conclusion, our investigation resulted in the identification of two potential prognosis-related genes that can be used in further prognostic evaluation studies.
期刊介绍:
Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses.
Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication.
Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses.
Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods.
Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.