JSI‐124 (cucurbitacin I) inhibits Janus kinase‐3/signal transducer and activator of transcription‐3 signalling, downregulates nucleophosmin‐anaplastic lymphoma kinase (ALK), and induces apoptosis in ALK‐positive anaplastic large cell lymphoma cells
Why this work is in the frame
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Bibliographic record
Abstract
JSI-124 (cucurbitacin I) has been recently described as a specific inhibitor of signal transducer and activator of transcription-3 (STAT3). As STAT3 activation is pathogenetically important in anaplastic lymphoma kinase-positive anaplastic large cell lymphoma (ALK+ ALCL), we investigated whether JSI-124 can mediate significant inhibitory effects in this cell type. In two ALK+ ALCL cell lines (Karpas 299 and SU-DHL-1), JSI-124 significantly reduced the number of viable cells to 50% of that of negative controls at a dose of 5-10 micromol/l at 24 h and 1-1.25 micromol/l at 48 h. This decrease in viability was associated with apoptosis, as confirmed by the increase in the subG(0/1) fraction, poly(ADP-ribose)polymerase cleavage and expression of active caspase 3. JSI-124 decreased the phosphorylated-STAT3 and -Janus kinase-3 (JAK3) levels in a dose-dependent fashion, and these changes were coupled with significant decreases in several STAT3 downstream targets, including mcl-1, bcl-2, bcl-xL and cyclin D3. Interestingly, JSI-124 also dramatically decreased the protein levels of JAK3 and nucleophosmin (NPM)-ALK, and these effects were reversible by MG132. Our data support that JSI-124 is a potentially useful therapeutic agent for ALK+ ALCL. In addition to its role as a tyrosine kinase inhibitor, JSI-124 appears to be involved in regulating proteosome degradation for proteins such as JAK3 and NPM-ALK.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 it