Characteristics and outcome of acute myeloid leukemia with uncommon retinoic acid receptor-alpha (RARA) fusion variants
Bibliographic record
Abstract
Acute promyelocytic leukemia (APL) is characterized by the reciprocal balanced translocation t(15;17)(q24.1;q21.2), which fuses the promyelocytic leukemia ( PML ) and retinoic acid receptor-α ( RARA ) genes, responsible for inhibition of cellular differentiation and proliferation of undifferentiated elements [ 1 ]. RARA can be fused to partners other than PML in rare cases of acute myeloid leukemia (AML), presenting with features suggestive of APL. At least 14 variant translocations have been identified, including ZBTB16-RARA [ 2 ], the most frequent one, followed by NPM-RARA [ 2 ], NuMA-RARA [ 3 ], STAT5B-RARA [ 3 ], PRKAR1A-RARA [ 3 ], BCOR-RARA [ 3 ], FIP1L1-RARA [ 3 ], OBFC2A-RARA [ 4 ], GTF2I-RARA [ 5 ], and the more recent IRF2BP2-RARA [ 6 ], FNDC3B-RARA [ 7 ], TBLR1 / RARA [ 8 ], STAT3/RARA [ 9 ], and NUP98 / RARA [ 10 ].
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".