Novel Proteasome Inhibitors to Overcome Bortezomib Resistance
Bibliographic record
Abstract
The proteasome is an intracellular enzyme complex that degrades ubiquitin-tagged proteins and thereby regulates protein levels within the cell. Given this important role in maintaining cellular homeostasis, it is perhaps somewhat surprising that proteasome inhibitors have a therapeutic window. Proteasome inhibitors have demonstrated clinical efficacy in the treatment of multiple myeloma and mantle cell lymphoma and are under evaluation for the treatment of other malignancies. Bortezomib is the first and only Food and Drug Administration-approved proteasome inhibitor that inhibits this enzyme complex in a reversible fashion. Although bortezomib improves clinical outcomes when used as a single agent, most patients do not respond to this drug and those who do respond almost uniformly relapse. As such, efforts are underway to develop proteasome inhibitors that act through mechanisms distinct from that of bortezomib. Specifically, inhibitors that bind the active site of the proteasome and inhibit the complex irreversibly have been developed and are in advanced clinical trials. Inhibitors that act on sites of the proteasome outside of the catalytic center have also been identified and are in preclinical development. In this review, we discuss the structure and function of the proteasome. We then focus on the molecular biology, chemistry, and the preclinical and clinical efficacy of novel proteasome inhibitors as strategies to inhibit this target and overcome some forms of bortezomib resistance.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".