Expression of Death Receptors and Associated Regulatory Proteins in Pediatric Acute Lymphoblastic Leukemia: Preliminary Results
Bibliographic record
Abstract
Altered regulation of the cell cycle and/or apoptosis are well established events in the process of neoplastic transformation. Fas-mediated apoptosis is regulated by several inhibitory proteins in normal lymphocytes and leukemic cells. Some of these protein molecules may also play a role in the induction of apoptosis through death receptors for a similar molecule, TNF-related apoptosis inducing ligand (TRAIL). The involvement of these anti-apoptotic molecules in leukemogenesis is uncertain. Our preliminary findings indicate decreased expression of pro-apoptotic TRAIL-DR4 receptors in leukemic T cells relative to untransformed T cells. This decrease in expression may represent a potential determinant of poor acute lymphoblastic leukemia (ALL) prognosis, as it may result in a favorable biological situation for escape from apoptosis. Our data also demonstrate decreased levels of expression of pro-apoptotic Fas protein molecules in pediatric patient samples, relative to ALL cell lines. This difference suggests that circulating leukemic cells differ in their susceptibility to Fas-mediated apoptosis. Taken together, our data suggest that ALL cell lines and circulating leukemic cells from pediatric patients possess different regulatory mechanisms in order to attenuate Fas-mediated signaling
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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".