Abstract 247: ADAR1 promotes malignant progenitor reprogramming in chronic myeloid leukemia.
Bibliographic record
Abstract
Abstract 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 RNA editing mediated by adenosine deaminase acting on RNA (ADAR) enzymes that regulate stem cell maintenance. In this study, whole transcriptome sequencing of normal, chronic phase (CP) and serially transplantable blast crisis (BC) chronic myeloid leukemia (CML) progenitors revealed increased interferon-γ pathway gene expression in concert with BCR-ABL amplification, enhanced expression of the interferon responsive ADAR1 p150 isoform and a propensity for increased A-to-I RNA editing during CML progression. Lentiviral overexpression experiments demonstrate that ADAR1 p150 promoted expression of the myeloid transcription factor PU.1 and induced malignant reprogramming of myeloid progenitors. Moreover, enforced ADAR1 p150 expression was associated with production of a mis-spliced form of GSK3β implicated in LSC self-renewal. Finally, functional serial transplantation and shRNA studies demonstrate that ADAR1 knockdown impaired in vivo self-renewal capacity of BC CML progenitors. Together these data provide a compelling rationale for developing ADAR1-based LSC detection and eradication strategies. Citation Format: Qingfei Jiang, Leslie A. Crews, Christian L. Barrett, Angela Court-Recart, Daniel Goff, Anil Sadarangani, Jessica Rusert, Sheldon Morris, Lawrence Goldstein, Hye-Jung Chun, Marco Marra, Kelly Fraser, Kim-Hien Dao, Mark Minden, Catriona Jamieson. ADAR1 promotes malignant progenitor reprogramming in chronic myeloid leukemia. [abstract]. In: Proceedings of the 104th Annual Meeting of the American Association for Cancer Research; 2013 Apr 6-10; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2013;73(8 Suppl):Abstract nr 247. doi:10.1158/1538-7445.AM2013-247
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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".