The RNA Editase ADAR1 Promotes Malignant Progenitor Reprogramming in Chronic Myeloid Leukemia.
Bibliographic record
Abstract
Abstract Abstract 2772 While advanced malignancies in Chronic Myeoloid Leukemia (CML) are diverse in phenotype, they often exhibit stem cell properties including enhanced survival, quiescence and self-renewal potential. The molecular etiology of human progenitor reprogramming into self-renewing leukemia stem cells (LSC) has remained elusive. While DNA sequencing has uncovered spliceosome gene mutations that promote alternative splicing and portend leukemic transformation, isoform diversity may also be generated by aberrant RNA editing mediated by adenosine deaminase acting on dsRNA (ADAR) family, which have been shown to promote an embryonic transcriptional program and regulate fetal and adult hematopoietic stem cell (HSC) self-renewal as well as stem cell responses to inflammation. In this study, whole transcriptome sequencing of normal, chronic phase (CP) and functionally validated blast crisis (BC) chronic myeloid leukemia (CML) progenitors revealed increased inflammatory pathway gene expression in concert with BCR-ABL amplification, enhanced expression of interferon-responsive ADAR1 and a propensity for increased A-to-I RNA editing during CML progression. Mechanistic studies demonstrated that lentivirally enforced ADAR1 p150 expression induced expression of the myeloid-skewing transcription factor PU.1 and skewed cell fate towards granulocyte-macrophage progenitors - the initiating LSC population in BC CML. Moreover, lentiviral ADAR1 knockdown reduced BC LSC self-renewal capacity in RAG2−/−gc−/− mice. These data shed new light on the role of ADAR1-directed RNA editing in myeloid progenitor reprogramming and self-renewal potential of malignant progenitors that drive disease progression and therapeutic resistance in CML, and provide a compelling rationale for developing ADAR1-based LSC detection and eradication strategies. Disclosures: No relevant conflicts of interest to declare.
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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 | 0.000 | 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) | 0.000 | 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".