Aberrant expression of aldehyde dehydrogenase 1A (ALDH1A) subfamily genes in acute lymphoblastic leukaemia is a common feature of T-lineage tumours
Bibliographic record
Abstract
The class 1A aldehyde dehydrogenase (ALDH1A) subfamily of genes encode enzymes that function at the apex of the retinoic acid (RA) signalling pathway. We detected aberrant expression of ALDH1A genes, particularly ALDH1A2, in a majority (72%) of primary paediatric T cell acute lymphoblastic leukaemia (T-ALL) specimens. ALDH1A expression was almost exclusive to T-lineage, but not B-lineage, ALL. To determine whether ALDH1A expression may have relevance to T-ALL cell growth and survival, the effect of inhibiting ALDH1A function was measured on a panel of human ALL cell lines. This revealed that T-ALL proliferation had a higher sensitivity to modulation of ALDH1A activity and RA signalling as compared to ALL cell lines of B-lineage. Consistent with these findings, the genes most highly correlated with ALDH1A2 expression were involved in cell proliferation and apoptosis. Evidence that such genes may be targets of regulation via RA signalling initiated by ALDH1A activity was provided by the TNFRSF10B gene, encoding the apoptotic death receptor TNFRSF10B (also termed TRAIL-R2), which negatively correlated with ALDH1A2 and showed elevated transcription following treatment of T-ALL cell lines with the ALDH1A inhibitor citral (3,7-dimethyl-2,6-octadienal). These data indicate that ALDH1A expression is a common event in T-ALL and supports a role for these enzymes in the pathobiology of this disease.
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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 | 0.001 | 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 | 0.000 |
| 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".