Meta-[123I]iodobenzylguanidine is selectively radiotoxic to neuroblastoma cells at concentrations that spare cells of haematopoietic lineage
Bibliographic record
Abstract
BACKGROUND: The Auger electron-emitting agents meta-[125I]iodobenzylguanidine (125I-MIBG) and 123I-MIBG have been proposed as alternatives to 131I-MIBG for the treatment of neuroblastoma, due to the absence of a cross-fire effect which may minimize bone marrow toxicity. However, the differential toxicity of 123I-MIBG towards neuroblastoma cells and cells of haematopoietic lineage has not been studied. OBJECTIVE: To compare the toxic effects of 123I-MIBG on SK-N-SH and SK-N-BE(2) neuroblastoma cells and on cells of haematopoietic lineage, specifically HL-60 human myeloid leukemia cells and bone marrow stem cells (BMSCs) from human adult donors. METHODS: The antiproliferative effects of exchange-labelled or no carrier added (n.c.a.) 123I-MIBG, unlabelled MIBG or the trimethylsilylbenzylguanidine (MTBG) precursor used to prepare n.c.a. 123I-MIBG against SK-N-SH or SK-N-BE(2) cells or HL-60 cells were evaluated using a cell proliferation assay. The toxicity of 123I-MIBG towards SK-N-SH cells or BMSCs from healthy adult human donors was studied using a clonogenic assay. RESULTS: 123I-MIBG was strongly growth inhibitory to SK-N-SH or SK-N-BE(2) cells at concentrations (IC50 185-370 mBq.ml(-1); IC90 740 mBq.ml(-1)) that were sparing to HL-60 cells. Treatment of SK-N-SH cells with 74 mBq of 123I-MIBG decreased colony formation by >90%, whereas colonies from all three populations of stem cells were formed at amounts up to 370 mBq. It was discovered that the MTBG precursor was non-specifically toxic towards both SK-N-SH cells and HL-60 cells, suggesting the need to purify n.c.a. 123I-MIBG for clinical use. CONCLUSION: Our results suggest that 123I-MIBG is a promising novel radiotherapeutic agent for neuroblastoma. For the first time, we report that the MTBG precursor used to prepare n.c.a. 123I-MIBG was toxic towards neuroblastoma cells as well as to HL-60 cells, representing cells of the haematopoietic lineage, suggesting the need for purification.
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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 teacher head, 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".