ArticleBMC cancer2019
Selection of three miRNA signatures with prognostic value in non-M3 acute myeloid leukemia.
Article in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- MircoRNAs predict and modulate responses to chemotherapy in leukemic patients.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- Construction of a solid Cox model for AML patients based on multiomics bioinformatic analysis.Frontiers in oncology · 2022Article
- Clinical Applications of MicroRNAs in Acute Myeloid Leukemia: A Mini-Review.Frontiers in oncology · 2021Review
- Microarray analysis of differentially expressed microRNAs in myelodysplastic syndromes.Medicine · 2020Article
- miR-744-5p Inhibits Non-Small Cell Lung Cancer Proliferation and Invasion by Directly Targeting PAX2.Technology in cancer research & treatment · 2019Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
backgroundMiRNAs that are potential biomarkers for predicting prognosis for acute myeloid leukemia (AML) have been identified. However, comprehensive analyses investigating the association between miRNA expression profiles and AML survival remain relatively deficient.
methodIn the present study, we performed multivariate Cox's analysis and principal component analysis (PCA) using data from The Cancer Genome Atlas (TCGA) to identify potential molecular signatures for predicting non-M3 AML prognosis.
resultWe found that patients who were still living were significantly younger at diagnosis than those who had died (P = 0.001). In addition, there was a marked difference in living status among different risk category groups (P = 0.022). A multivariate Cox model suggested that three miRNAs were potential biomarkers of non-M3 AML prognosis, including miR-181a-2, miR-25 and miR-362. Subsequently, PCA analyses were conducted to comprehensively represent the expression levels of these three miRNAs in each patient with a PCA value. According to the log-rank test, AML outcome for patients with lower PCA values was significantly different from those with higher PCA values (P < 0.001). Further bioinformatic analysis revealed the biological functions of the selected miRNAs.
conclusionWe conducted a comprehensive analysis of TCGA non-M3 AML data, identifying three miRNAs that are significantly correlated with AML survival. PCA values for the identified miRNAs are valuable for predicting AML prognosis.
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