Hypermethylation of ITGBL1 is associated with poor prognosis in acute myeloid leukemia
Bibliographic record
Abstract
The current study was aimed to investigate integrin beta-like 1 (ITGBL1) methylation pattern and its clinical relevance in patients with acute myeloid leukemia (AML). Real-time methylation-specific polymerase chain reaction (PCR; RQ-MSP) and bisulfite sequencing PCR (BSP) were performed to detect the methylation of ITGBL1 promoter. Real-time quantitative PCR (RT-qPCR) was performed to analyze ITGBL1 transcript level. The results showed that ITGBL1 methylation level in 131 patients with AML was significantly higher than 29 controls (p < 0.001). The ITGBL1-hypermethylated group tended to have a higher bone marrow (BM) blasts ( p = 0.076). Meanwhile, ITGBL1-hypermethylated patients tended to have a lower complete remission (CR) rate ( p = 0.102). ITGBL1-hypermethylated patients had significantly shorter overall survival (OS) and leukemia-free survival (LFS) than ITGBL1 hypomethylated patients in whole AML cohort ( p = 0.009 and 0.043, respectively) and patients with nonacute promyelocytic leukemia (APL ; p = 0.023 and 0.039, respectively). Multivariate analysis confirmed that the ITGBL1 methylation served as an independent prognostic factor in both patients with whole-cohort AML ( p = 0.030) and patients with non-APL ( p = 0.020). Furthermore, the ITGBL1 methylation level was significantly decreased in follow-up AML patients who achieved complete remission after induction therapy ( P = 0.001). ITGBL1 methylation negatively correlated with ITGBL1 expression in patients with AML ( R = -0.328, p = 0.008). Moreover, demethylation of ITGBL1 could increase the ITGBL1 expression in the K562 leukemic cell line ( p < 0.05). In conclusion, the ITGBL1 hypermethylation is a potential biomarker for predicting prognosis and monitoring disease status in patients with AML.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 0.000 |
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 teacher head, 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".