High DNA-methyltransferase 3B expression predicts poor outcome in acute myeloid leukemia, especially among patients with co-occurring NPM1 and FLT3 mutations
Bibliographic record
Abstract
DNA methyltransferases (DNMTs) are epigenetic regulators targeted to the treatment of hematological malignancies. 1 , 2 , 3 , 4 Mutations in the DNA methyltransferase DNMT3A and high expression of its paralogue DNMT3B have been associated with inferior outcome in acute myeloid leukemia (AML) and other hematological malignancies. 5 , 6 , 7 , 8 Using a publicly available gene expression data set, 9 we studied whether DNMT3B expression correlates with outcome in genetically well-defined AML subgroups. We first validated the expression data from the microarray by quantitative PCR, using 39 patient samples ( Supplementary Figure S1A ). DNMT3B micro-array analyses showed that the expression was not normally distributed among AML patients; in the quartile with highest expression, a larger variation in expression was observed compared to the three quartiles with relatively lower expression ( Supplementary Figure S1B ). The median DNMT3B expression in AML samples was significantly lower compared with that observed in normal bone marrow (NBM)-derived CD34 + cells ( P <0.0001), while it was higher compared to NBM cells, but the latter difference was not statistically significant ( Supplementary Figure S1B ). Subsequently, we investigated the correlation between DNMT3B expression and overall survival (OS) and event-free survival (EFS). In univariate Cox regression analyses, continuous DNMT3B expression was significantly associated with poor survival ( P <0.001 for both OS and EFS, data not shown). To visualize the prognostic impact, we performed Kaplan–Meier analyses on the four quartiles based on expression levels. The quartile including the patients with the highest DNMT3B expression, exhibiting the largest variation in expression, showed a significantly reduced OS and EFS compared to the other quartiles ( Supplementary Fig. S2 ). As the survival between the lower three quartiles did not differ significantly, we grouped these patients together as having lower DNMT3B expression, whereas the remaining patients were ranked as having higher DNMT3B expression. Using these criteria, the 5-year OS and EFS were 17.2%±3.3% and 13.6%±3.0% for patients with higher DNMT3B expression compared to 43.8%±2.5% and 34.4%±2.4% for patients with lower DNMT3B levels ( P <0.001, Figure 1a ). We next performed a multivariate Cox regression analysis including known prognostic factors (including age >60 years; white blood cell counts >100 × 10 9 /l; transplantation status; karyotypes t(8;21), t(15;17) and inv(16); nucleophosmin 1 ( NPM1 ), FLT3-ITD , DNMT3A and double CEBPA mutations, and ecotropic viral integration site 1 ( EVI1 ) overexpression), which revealed that higher DNMT3B expression carried an independent prognostic risk for both OS and EFS (hazard ratio (HR): 1.768, 95% confidence interval (CI): 1.384–2.260; P <0.001 and HR: 1.706, 95% CI: 1.342–2.168; P <0.001, respectively, Table 1 ), in line with a recently published study. 7 In fact, higher DNMT3B expression showed a higher hazard ratio for OS than that of well-known adverse prognostic factors such as internal tandem duplications of the fms-related tyrosine kinase 3 ( FLT3-ITD , HR: 1.675, 95% CI: 1.287–2.179; P <0.001) and overexpression of the EVI1 gene (HR: 1.430, 95% CI: 0.999–2.047; P =0.051). Figure 1 Higher DNMT3B expression correlates with inferior OS and EFS in AML. ( a ) Kaplan–Meier plots for OS and EFS showed that higher DNMT3B expression correlated significantly with a poor OS and EFS among AML patients (5-year OS: 17.2%±3.3% vs 43.8%±2.5% and 5-year EFS: 13.6%±3.0% vs 34.4%±2.4% for patients with higher and lower DNMT3B expression, respectively). ( b ) Higher DNMT3B expression predicted a very poor OS and EFS among patients with normal karyotype carrying NPM1 and FLT3-ITD mutations compared to patients with lower DNMT3B expression (5-year OS: 16.7±6.2% vs 47.6±8.8%, P =0.001 and 5-year EFS: 16.7±6.2% vs 39.0±8.6%, P =0.005 for patients with higher and lower DNMT3B expression, respectively). ( c ) Within the group of patients with normal karyotype that carries NPM1 mutations with high FLT3-ITD allelic burden, higher DNMT3B expression correlated with an extremely poor OS and EFS compared to patients with lower DNMT3B expression (5-year OS: 0%±0.0% vs 38.9%±12.9%, P <0.001 and 5-year EFS: 0%±0.0% vs 32.0%±12.4%, P <0.001 for patients with higher and lower DNMT3B expression, respectively). P values were determined with the log-rank test. In agreement with de Jonge et al., 13 high FLT3-ITD allelic burden was defined as an allelic FLT3-ITD / FLT3 ratio >1. Full size image Table 1 Data proving that DNMT3B expression is a prognostic factor in AML, particularly in NPM1 + / FLT3-ITD + patients with normal karyotype Full size table
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".