<p>Potent in vitro and xenograft antitumor activity of a novel agent, PV-10, against relapsed and refractory neuroblastoma</p>
Bibliographic record
Abstract
PURPOSE: Neuroblastoma is the most common extracranial cancer in children. Although the prognosis for low-risk neuroblastoma patients is good, the 5-year survival rates for high-risk and relapsed patients are low. The poor survival rates for these patients demonstrate the need for novel therapeutic approaches to treat this disease. PV-10 is a sterile 10% solution of Rose Bengal that has previously been shown to induce cell death in a range of adult cancers, providing the rationale for studying the activity of PV-10 against neuroblastoma in preclinical studies. METHODS: The effects of PV-10 on neuroblastoma were investigated in vitro. Cytotoxicity assays were performed using the alamar blue assay on the following cell lines: SK-N-AS, SK-N-BE(2), IMR5, LAN1, SHEP, and SK-N-SH neuroblastoma cells, SK-N-MC neuroepithelioma cells, and normal primary, BJ, and WI38 fibroblasts. Phase-contrast, fluorescence, and time-lapse video microscopy; flow cytometry; and Western blotting were used to investigate the effects of PV-10 on SK-N-AS and IMR5 cells. Synergy with commonly used anticancer drugs was determined by calculation of combination indices in SK-N-AS and IMR5 cells. Mouse xenograft models of SK-N-AS and IMR5 tumors were also used to evaluate the efficacy of PV-10 in vivo. RESULTS: In vitro preclinical data demonstrate that pharmacologically relevant concentrations of PV-10 are cytotoxic to neuroblastoma cell lines. Studies to investigate target modulation in neuroblastoma cell lines show that PV-10 disrupts lysosomes, decreases the percentage of cells in S phase, and induces apoptosis in a concentration-, time-, and cell-line-dependent manner, and we also identify agents that are synergistic with PV-10. Furthermore, experiments in xenograft mouse models show that PV-10 induces tumor regression in vivo. CONCLUSION: Our study provides preclinical data on the efficacy of PV-10 against neuroblastoma and provides rationale for the development of an early phase clinical trial of this agent in relapsed and refractory neuroblastoma patients.
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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".