Dose predictions for [177Lu]Lu-DOTA-panitumumab F(ab′)2 in NRG mice with HNSCC patient-derived tumour xenografts based on [64Cu]Cu-DOTA-panitumumab F(ab′)2 – implications for a PET theranostic strategy
Bibliographic record
Abstract
Abstract Background Epidermal growth factor receptors (EGFR) are overexpressed on many head and neck squamous cell carcinoma (HNSCC). Radioimmunotherapy (RIT) with F(ab') 2 of the anti-EGFR monoclonal antibody panitumumab labeled with the β-particle emitter, 177 Lu may be a promising treatment for HNSCC. Our aim was to assess the feasibility of a theranostic strategy that combines positron emission tomography (PET) with [ 64 Cu]Cu-DOTA-panitumumab F(ab') 2 to image HNSCC and predict the radiation equivalent doses to the tumour and normal organs from RIT with [ 177 Lu]Lu-DOTA-panitumumab F(ab') 2 . Results Panitumumab F(ab') 2 were conjugated to DOTA and complexed to 64 Cu or 177 Lu in high radiochemical purity (95.6 ± 2.1% and 96.7 ± 3.5%, respectively) and exhibited high affinity EGFR binding (K d = 2.9 ± 0.7 × 10 − 9 mol/L). Biodistribution (BOD) studies at 6, 24 or 48 h post-injection (p.i.) of [ 64 Cu]Cu-DOTA-panitumumab F(ab') 2 (5.5–14.0 MBq; 50 μg) or [ 177 Lu]Lu-DOTA-panitumumab F(ab') 2 (6.5 MBq; 50 μg) in NRG mice with s.c. HNSCC patient-derived xenografts (PDX) overall showed no significant differences in tumour uptake but modest differences in normal organ uptake were noted at certain time points. Tumours were imaged by microPET/CT with [ 64 Cu]Cu-DOTA-panitumumab F(ab') 2 or microSPECT/CT with [ 177 Lu]Lu-DOTA-panitumumab F(ab') 2 but not with irrelevant [ 177 Lu]Lu-DOTA-trastuzumab F(ab') 2 . Tumour uptake at 24 h p.i. of [ 64 Cu]Cu-DOTA-panitumumab F(ab') 2 [14.9 ± 1.1% injected dose/gram (%ID/g) and [ 177 Lu]Lu-DOTA-panitumumab F(ab') 2 (18.0 ± 0.4%ID/g) were significantly higher ( P < 0.05) than [ 177 Lu]Lu-DOTA-trastuzumab F(ab') 2 (2.6 ± 0.5%ID/g), demonstrating EGFR-mediated tumour uptake. There were no significant differences in the radiation equivalent doses in the tumour and most normal organs estimated for [ 177 Lu]Lu-DOTA-panitumumab F(ab') 2 based on the BOD of [ 64 Cu]Cu-DOTA-panitumumab F(ab') 2 compared to those estimated directly from the BOD of [ 177 Lu]Lu-DOTA-panitumumab F(ab') 2 except for the liver and whole body which were modestly underestimated by [ 64 Cu]Cu-DOTA-panitumumab F(ab') 2 . Region-of-interest (ROI) analysis of microPET/CT images provided dose estimates for the tumour and liver that were not significantly different for the two radioimmunoconjugates. Human doses from administration of [ 177 Lu]Lu-DOTA-panitumumab F(ab') 2 predicted that a 2 cm diameter HNSCC tumour in a patient would receive 1.1–1.5 mSv/MBq and the whole body dose would be 0.15–0.22 mSv/MBq. Conclusion A PET theranostic strategy combining [ 64 Cu]Cu-DOTA-panitumumab F(ab') 2 to image HNSCC tumours and predict the equivalent radiation doses in the tumour and normal organs from RIT with [ 177 Lu]Lu-DOTA-panitumumab F(ab') 2 is feasible. RIT with [ 177 Lu]Lu-DOTA-panitumumab F(ab') 2 may be a promising approach to treatment of HNSCC due to frequent overexpression of EGFR.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.000 | 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 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".