Using MS‐MLPA as an efficient screening tool for detecting 9p21 abnormalities in pediatric acute lymphoblastic leukemia
Bibliographic record
Abstract
BACKGROUND: Characterization of recurrent genetic lesions in childhood acute lymphoblastic leukemia (ALL) has enabled therapeutic stratification with improved outcomes. The tumor suppressor genes, CDKN2A and CDKN2B, encoding p16(INK4a) , p14(ARF) , and p15(INK4b) have been localized to 9p21. Abnormalities of 9p21 have been reported in 10-30% of childhood ALL using conventional cytogenetics and fluorescence in situ hybridization (FISH). The incidence of 9p21 using more sensitive techniques, such as methylation specific multiplex ligation-dependent probe amplification (MS-MLPA), remains uncertain, and thus also the prognostic significance. PROCEDURE: We investigated the incidence and prognostic importance of 9p21 abnormalities in pediatric ALL patients using MS-MLPA and compared these results to FISH. RESULTS: In total, MS-MLPA or FISH detected aberrations (both dosage and methylation abnormalities) at 9p21 in a remarkable 32/48 (67%) patients in contrast to a much lower rate of only 8% of patients identified to have deletions by standard G banding cytogenetics. MS-MLPA identified five deletions not found by FISH. Aberrant methylation at CDKN2B was found in 19 (46%) patients. 9p21 abnormalities were associated with National Cancer Institute (NCI) high-risk criteria (P = 0.04) and were present in all five patients with T-cell disease. Four pre-B-cell ALL patients relapsed, three of whom had prior 9p21 abnormalities. CONCLUSIONS: MS-MLPA had a higher detection rate for 9p21 abnormalities than previously reported for other techniques. Given the ease of processing, minimal equipment and low cost of MS-MLPA, our results suggest that previous reports may have underestimated the true frequency of 9p21 abnormalities and their potential impact upon ALL outcome.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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".