Pleurocidin-family cationic antimicrobial peptides mediate lysis of multiple myeloma cells and impair the growth of multiple myeloma xenografts
Bibliographic record
Abstract
Abstract Multiple myeloma is a common hematological malignancy that urgently requires new approaches to treatment, since the disease is not curable using current chemotherapeutic regimens. The aim of this study was to determine whether human and mouse multiple myeloma cells are killed by the pleurocidin-like cationic antimicrobial peptides NRC-03 and NRC-07, previously shown to be active against breast cancer cells. We demonstrate here that NRC-03 and NRC-07 bound to and rapidly killed multiple myeloma cells by causing extensive membrane damage, as well as DNA cleavage. NRC-03 showed greater binding to multiple myeloma cells and a more potent cytotoxic effect than NRC-07. In addition, intratumoral injections of NRC-03 impaired the growth of multiple myeloma xenografts in immune-deficient mice. We conclude that NRC-03 warrants further investigation for its possible use in the treatment of multiple myeloma.
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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 | 0.001 |
| 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".