| Literature DB >> 32180907 |
Ping Qiang1,2, Qing Pan3, Chao Fang4, Claudio Fozza5, Kaidi Song2, Yuanyuan Dai4, Wenjiao Chang4, Wei Chen6, Wan Yao7, Weibo Zhu2, Xin Liu2, Xiaoling Ma1,4.
Abstract
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.Entities:
Keywords: Acute; Biomarkers; Leukemia; MiR-181a-3p; MicroRNAs; Myeloid; Treatment outcome
Year: 2020 PMID: 32180907 PMCID: PMC7059742 DOI: 10.4084/MJHID.2020.012
Source DB: PubMed Journal: Mediterr J Hematol Infect Dis ISSN: 2035-3006 Impact factor: 2.576
Clinical characteristics of AML patients at diagnosis.
| Characteristic | N(%) |
|---|---|
|
| |
| Gender | |
| Male | 62 (52.1) |
| Female | 57 (47.9) |
|
| |
| Age | |
| < 60 years | 81 (68.1) |
| ≥60 years | 38 (31.9) |
|
| |
| WBC | |
| < 100×109/L | 113 (95.0) |
| ≥100×109/L | 6 (5.0) |
|
| |
| FAB | |
| M0 | 1 (0.8) |
| M1 | 9 (7.6) |
| M2 | 30 (25.2) |
| M3 | 20 (16.8) |
| M4 | 16 (13.4) |
| M5 | 43(36.1) |
|
| |
| Risk groups | |
| Low and intermediate risk | 73 (61.3) |
| High risk | 46 (38.7) |
|
| |
| Molecular abnormalities | |
| PML/RARa | 20 (16.8) |
| AML1/ETO | 24 (20.2) |
| FLT3-ITD or -TKD | 12 (10.1) |
| CEBPA | 5 (4.2) |
| NPM1 | 5 (4.2) |
Abbreviations: WBC = white blood cell; FAB = French-American-British; PML/RARa = PML-RARa rearrangement; AML1/ETO = AML1-ETO rearrangement; FLT3-ITD or -TKD = FLT3-ITD or TKD rearrangement.
Figure 1Evaluation of miR-181a-3p expression levels in patients with AML. (A) Expression levels of miR-181a-3p in peripheral blood mononuclear cells derived from AML patients and healthy controls. (B) Expression levels of miR-181a-3p in AML patients of major FAB subtypes (from M1 to M5 subtypes), respectively. (C) Expression levels of miR-181a-3p in subtypes grouped according to molecular genetic abnormalities, respectively. (D) AUC of miR-181a-3p comparison between AML and health controls. (E) AUC of miR-181a-3p comparison between FAB subtypes of AML and health controls. (F) AUC of miR-181a-3p comparison between PML/RARa and AML1/ETO subtypes of AML and health controls. P-values calculated by Unpaired student’s t test. * = P<0.05, ** = P<0.01, *** = P<0.001, **** = P<0.0001.
The AUC of miR-181a-3p in the samples of different subtypes. P-values calculated by Unpaired student’s t test. AUC = The Area Under Curve. 95% CI = 95% confidence interval.
| miR-181a-3p | |||
|---|---|---|---|
| AUC | 95%CI | ||
| M1 | 0.736 | 0.537–0.935 | |
| M2 | 0.805 | 0.701–0.908 | |
| M3 | 0.759 | 0.612–0.907 | |
| M4 | 0.588 | 0.408–0.767 | |
| M5 | 0.521 | 0.405–0.637 | |
| AML1/ETO | 0.732 | 0.606–0.859 | |
| PML/RARa | 0.759 | 0.612–0.907 | |
Figure 2Evaluation of miR-181a-3p expression levels in patients with AML at diagnosis and on day 28 after induction chemotherapy. (A) Box plots of miR-181a-3p expression in AML patients at diagnosis and on day 28 after induction chemotherapy, and in healthy controls. P-values calculated by Unpaired student’s t test. * = P<0.05, *** = P<0.001. (B) Bar graph of the miR-181a-3p expression level ratio on day 28 after induction chemotherapy compared with disease diagnosis. (C) Line graphs of miR-181a-3p expression levels in AML patients at diagnosis and on day 28 after induction chemotherapy.
Figure 3Association of miR-181a-3p expression in AML patients at diagnosis with clinical outcomes. (A) miR-181a-3p expression in patients who achieved CR versus those who failed. (B) Mantel–Cox test and Gehan–Breslow–Wilcoxon test for patient OS. HR: hazard ratio; 95%CI: 95% confidence interval. (C) DFS and (D) OS in patients with high and low miR-181a-3p expression. (E) OS in TCAG patients with high and low miR-181a-3p expression.
Multivariate Cox regression analysis of independent risk factors influencing OS and DFS. P-values calculated by Unpaired student’s t test. WBC = white blood cell. 95% CI = 95% confidence interval.
| Multivariate Cox regression analysis | |||
|---|---|---|---|
| Covariants : tested vs control (HR= 1) | HR | 95%CI | |
| miR-181a-3p levels (diagnosis): low vs high | 1.923 | 1.035–3.574 | |
| Age: ≥ 60 years vs <60 years | 1.848 | 1.070–3.192 | |
| High risk group vs low/intermediate risk | 2.694 | 1.549–4.687 | |
| Gender: male vs female | |||
| WBC count: >100000 cells/μl vs <100000 cells/μl | |||
| Covariants: tested vs control (HR=1) | HR | 95%CI | |
| miR-181a-3p levels (diagnosis): low vs high | |||
| Age: ≥ 60 years vs <60 years | |||
| High risk group vs low/intermediate risk | 1.947 | 1.197–3.169 | |
| Gender: male vs female | |||
| WBC count: >100000 cells/μl vs <100000 cells/μ | |||
The linear correlation analysis in AML samples. P-values calculated by Pearson’s Correlation. 95% CI = 95% confidence interval.
| DATA from TCGA | ||||
|---|---|---|---|---|
| vs NEMO/IKBKG | vs miR181a-3p | |||
| Person correlation | p-value | Person correlation | p-value | |
| NF-κB1 | 0.377 | 2.723e-06 | −0.209 | 1.12e-02 |
| NF-κB2 | 0.598 | 1.653e-15 | −0.555 | 3.66e-13 |
| RelA | 0.557 | 2.844e-13 | −0.19 | 2.184e-02 |
| RelB | 0.524 | 1.15e-11 | −0.309 | 1.478e-04 |
| Rel | −0.013 | 8.799e-01 | −0.121 | 1.45e-01 |
| NEMO/IKBKG | −0.313 | 1.168e-04 | ||
| 59 patients with primary AML | ||||
| vs NEMO/IKBKG | vs miR181a-3p | |||
| Person correlation | p-value | Person correlation | p-value | |
| NF-κB | 0.2601 | 0.0466 | −0.2795 | 0.0321 |
| NEMO/IKBKG | −0.2613 | 0.0456 | ||