Related Experiment Video
Updated: Dec 26, 2025
MicroRNA Based Liquid Biopsy: The Experience of the Plasma miRNA Signature Classifier MSC for Lung Cancer Screening
Published on: October 26, 2017
MicroRNA-181a-3p as a Diagnostic and Prognostic Biomarker for Acute Myeloid Leukemia
Ping Qiang1,2, Qing Pan3, Chao Fang4
1School of Medicine, Shandong University, Jinan, 250100, China.
Background:
Micro (mi) RNAs play an important role in the pathogenesis and development of acute myeloid leukemia (AML), and their abnormal expression may be sufficient to predict the prognosis and outcomes in AML patients. We evaluated the clinical diagnostic value of miRNA-181a-3p in predicting prognosis and outcomes in patients with AML.
Methods:
A total of 119 newly diagnosed adult patients with AML and 60 healthy controls were recruited. Blood specimens were obtained from all AML patients at diagnosis, and 10 blood specimens were obtained on day 28 after induction chemotherapy. The controls also provided blood samples. Relative gene expression was quantified by PCR and determined using the comparative Ct method. Publicly available clinical data and gene expressions for 188 patients with AML were downloaded from TCGA data portal.
Results:
Compared with healthy controls, the expression of miRNA-181a-3p was significantly increased in patients with AML. MiR-181a-3p expression could be used to discriminate AML patients from controls, with up-regulated expression correlating with favorable prognosis. Moreover, miRNA-181a-3p expression was significantly decreased in patients who achieved a complete response after induction chemotherapy. The multivariate Cox analysis highlighted the prognostic value of miR-181a-3p for patients with AML. Finally, we found that miR-181a-3p expression was negatively correlated with the expression of the NF-κB essential modulator (NEMO/IKBKG).
Conclusions:
MiR-181a-3p may be clinically useful as a disease marker for AML, and enhanced the prediction of patient outcomes to chemotherapy.
Insights
MicroRNA-181a-3p is elevated in acute myeloid leukemia (AML) and predicts favorable prognosis and chemotherapy response. This micro (mi) RNA may serve as a valuable clinical marker for AML patients.
Area of Science:
- Oncology
- Molecular Biology
- Biochemistry
Background:
- MicroRNAs (miRNAs) are implicated in acute myeloid leukemia (AML) pathogenesis.
- Abnormal miRNA expression can predict AML patient prognosis and outcomes.
- This study investigates the clinical diagnostic value of miRNA-181a-3p in AML.
Purpose of the Study:
- To evaluate the clinical utility of miRNA-181a-3p as a prognostic biomarker in AML.
- To assess the association between miRNA-181a-3p expression and patient outcomes, including chemotherapy response.
- To explore the relationship between miRNA-181a-3p and the NF-κB pathway in AML.
Main Methods:
- Quantitative PCR was used to measure miRNA-181a-3p expression in 119 newly diagnosed AML patients and 60 healthy controls.
- Blood samples were collected at diagnosis and after induction chemotherapy (day 28).
- TCGA data portal provided gene expression data for 188 AML patients.
Main Results:
- MiRNA-181a-3p expression was significantly higher in AML patients compared to controls.
- Elevated miRNA-181a-3p levels correlated with a favorable prognosis in AML.
- Decreased miRNA-181a-3p expression was observed in patients achieving complete response post-chemotherapy.
- Multivariate Cox analysis confirmed the prognostic value of miRNA-181a-3p.
- MiRNA-181a-3p expression showed a negative correlation with NEMO/IKBKG expression.
Conclusions:
- MiRNA-181a-3p shows potential as a clinical disease marker for AML.
- Enhanced prediction of patient outcomes to chemotherapy is possible using miRNA-181a-3p.
- MiRNA-181a-3p may serve as a valuable biomarker for AML prognosis and treatment response.
More Related Videos
08:12Detection of a Circulating MicroRNA Custom Panel in Patients with Metastatic Colorectal Cancer
Published on: March 14, 2019
09:06MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as A Novel Detection and Quantification Method
Published on: October 7, 2025