c-MYC Is a Major Downstream Target of NOTCH in T-Cell Acute Lymphoblastic Leukemia.
Bibliographic record
Abstract
Abstract We recently reported that activating mutations in the NOTCH1 receptor occur in a high percentage of primary human T-cell acute lymphoblastic leukemias (T-ALL). Withdrawal of NOTCH signals by treatment with γ-secretase inhibitors (GSI) or by transduction with a dominant-negative Mastermind-like-1 polypeptide (a specific NOTCH pathway inhibitor) induces growth arrest of many T-ALL cell lines, suggesting that NOTCH supplies signals that are needed for maintenance of growth of T-ALL cells. In order to identify downstream targets of NOTCH that mediate these effects, we performed gene expression profiling on NOTCH signaling-dependent T-ALL cell lines before and after NOTCH inhibition. Among a number of identified candidate genes was c-MYC, which was of particular interest given its importance in promoting cellular growth and its known dysregulation in a number of hematolymphoid neoplasms. c-MYC was down-regulated following NOTCH inhibition, and rapidly up-regulated following release of NOTCH inhibition, even in the presence of protein synthesis inhibitors, suggesting that it is a direct NOTCH transcriptional target. Further, a subset of murine and human T-ALL cell lines were rescued from GSI-mediated growth arrest by c-MYC-expressing retroviruses. The failure of c-MYC to rescue some NOTCH-dependent cell lines likely stems from differences in cellular context, such as collaborating oncogenic lesions and/or the stage of T cell development the cell lines recapitulate. Nevertheless, these data implicate c-MYC as a major downstream target of NOTCH in T-ALL.
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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 | 0.000 | 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) | 0.002 | 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".