Epigenetic changes in the DAP‐kinase CpG island in pediatric lymphoma
Bibliographic record
Abstract
BACKGROUND: Hypermethylation of CpG islands in the promoter region of death-associated protein kinase (DAP-kinase) coupled with the loss of gamma-interferon-induced apoptosis have been reported in B-cell malignancies suggesting a role in pathogenesis or prognosis. Along with B-cell malignancies, pediatric lymphomas also include T-cell non-Hodgkin lymphoma (NHL), anaplastic large cell lymphoma, and Hodgkin disease, each with unique prognoses. The purpose of this study was to elucidate epigenetic changes in the DAP-kinase promoter region of pediatric cases to determine associations with aberrant hypermethylation. PROCEDURES: Thirty-nine cases of different lymphoid pathology [10 Burkitt lymphoma, 1 B-cell NHL; 7 T-cell lymphoblastic lymphoma; 4 anaplastic large cell lymphoma (LCL); 2 B-cell LCL; 14 nodular sclerosing Hodgkin disease (NSHD); and 1 B-cell acute lymphoblastic leukemia (ALL)] had methylation-specific polymerase chain reaction performed on bisulfite-treated DNA, which distinguishes the methylation status of the promoter region, and DAP-kinase mRNA expression assays performed on available specimens. RESULTS: In normal lymphocytes, the CpG islands in the promoter region were unmethylated, as were the T-cell lymphoblastic lymphoma and anaplastic LCL. In contrast, 100% of the Burkitt lymphoma (10/10) and B-cell ALL (1/1) were hypermethylated. Of the specimens with mRNA available, 7/8 Burkitt lymphoma had no DAP-kinase mRNA expression compared to normal expression in 3/3 and 4/4 T-cell lymphoblastic lymphoma and NSHD, respectively. CONCLUSIONS: In these pediatric lymphoid tumors, hypermethylation of the DAP-kinase promoter region with associated loss of DAP-kinase gene expression was associated with B-cell malignancies and thus may be important in the development and/or provide a prognostic tool in B- cell lymphomas.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".