Control of B lymphoma through regulation of TRAF protein degradation during nutrient stress (TUM7P.932)
Bibliographic record
Abstract
Abstract The TNFR family of receptors includes members, such as CD40, that mediate important immune functions. TNFRs play critical roles in regulating cellular survival, where they utilize TNFR associated factors (TRAFs), including TRAF1 and TRAF2, as adaptors to signal through NF-κB and MAPK pathways. TRAF1 is linked with increased lymphoma cell survival and is overexpressed in over 50% of human lymphomas, with highest expression in most refractory B-CLL. Thus there is interest in blocking TRAF1 induced survival signaling in lymphoma. Here we show that during nutrient deprivation, induced by low glutamine in the media or by treatment with the licensed drug Erwinaze, TRAF1 is essential for maintaining protein levels of another pro-survival signaling adaptor, TRAF2, in RAJI cells (Burkitt’s lymphoma). The PKC, PKN1, has been shown to phosphorylate TRAF1. Utilizing shRNA knockdown, we show that loss of PKN1 reduces TRAF1 expression, suggesting that PKN1 phosphorylation stabilizes TRAF1. Importantly, we demonstrated that Erwinaze treatment causes cell death in TRAF1 deficient RAJI cells but not in wild type cells. Moreover, PKN1 deficient RAJI cells, which exhibit lower TRAF1 expression, were also susceptible to treatment with Erwinaze. Together, these findings suggest that a combination therapy that targets TRAF1 for degradation (i.e. PKN1 inhibitor) along with Erwinaze to cause nutrient stress mediated loss of TRAF2 constitutes an effective and aggressive therapy for B cell lymphoma
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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) | 0.001 | 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 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".