The miR-17-92 cluster expands multipotent hematopoietic progenitors whereas imbalanced expression of its individual oncogenic miRNAs promotes leukemia in mice
Bibliographic record
Abstract
The miR-17-92 cluster and its 6 encoded miRNAs are frequently amplified and aberrantly expressed in various malignancies. This study demonstrates that retroviral-mediated miR-17-92 overexpression promotes expansion of multipotent hematopoietic progenitors in mice. Cell lines derived from these miR-17-92-overexpressing mice are capable of myeloid and lymphoid lineage differentiation, and recapitulate the normal lymphoid phenotype when transplanted to nonobese diabetic/severe combined immunodeficiency mice. However, overexpression of individual miRNAs from this locus, miR-19a or miR-92a, results in B-cell hyperplasia and erythroleukemia, respectively. Coexpression of another member of this cluster miR-17, with miR-92a, abrogates miR-92a-induced erythroleukemogenesis. Accordingly, we identified several novel miR-92a and miR-17 target genes regulating erythroid survival and proliferation, including p53. Expression of this critical target results in marked growth inhibition of miR-92a erythroleukemic cells. In both murine and human leukemias, p53 inactivation contributed to the selective overexpression of oncogenic miR-92a and miR-19a, and down-regulation of tumor-suppressive miR-17. This miR-17-92 expression signature was also detected in p53- B-cell chronic lymphocytic leukemia patients displaying an aggressive clinical phenotype. These results revealed that imbalanced miR-17-92 expression, also mediated by p53, directly transforms the hematopoietic compartment. Thus examination of such miRNA expression signatures should aid in the diagnosis and treatment of cancers displaying miR-17-92 gene amplification.
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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".