Deletion of the Miz-1 POZ Domain Increases Efficacy of Cytarabine Treatment in T- and B-ALL/Lymphoma Mouse Models
Bibliographic record
Abstract
Acute lymphoblastic leukemia (ALL) is an aggressive blood cancer that mainly affects children. Relapse rates are high and toxic chemotherapies that block DNA replication and induce DNA damage lead to health problems later in life, underlining the need for improved therapies. MYC is a transcription factor that is hyperactive in a large proportion of cancers including leukemia but is difficult to target in therapy. We show that ablation of the function of the BTB/POZ domain factor Zbtb17 (Miz-1), an important cofactor of c-Myc, significantly delayed T- and B-ALL/lymphoma in mice and interfered with the oncogenic transcriptional activity of c-Myc. Leukemic cells that still emerged in this system activated DNA replication pathways that could be targeted by current chemotherapeutic drugs such as cytarabine. Acute ablation of the Miz-1 POZ domain enhanced the effect of cytarabine treatment. The combined treatment was effective in both Eμ-Myc and Notch ICN-driven leukemia models and prolonged survival of tumor-bearing animals by accelerating apoptosis of leukemic cells. These observations suggest that targeting MIZ-1 could render current ALL chemotherapies more effective, with a better outcome for patients. SIGNIFICANCE: Ablation of the POZ domain of Miz-1 perturbs its interaction with c-MYC and delays the generation of T- and B-cell leukemias and lymphomas.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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".