Metabolically Stabilized <sup>68</sup>Ga-NOTA-Bombesin for PET Imaging of Prostate Cancer and Influence of Protease Inhibitor Phosphoramidon
Bibliographic record
Abstract
Peptide receptor-based targeted molecular imaging and therapy of cancer is on the current forefront of nuclear medicine preclinical research and clinical practice. The frequent overexpression of gastrin-releasing peptide (GRP) receptors in prostate cancer stimulated the development of radiolabeled bombesin derivatives as high affinity peptide ligands for selective targeting of the GRP receptor. In this study, we have evaluated a novel (68)Ga-labeled bombesin derivative for PET imaging of prostate cancer in vivo. In addition, we were interested in testing the recently proposed "serve-and-protect" strategy to improve metabolic stability of radiolabeled peptides in vivo and to enhance tumor uptake. GRP receptor targeting peptides NOTA-BBN2 and (nat)Ga-NOTA-BBN2 demonstrated a characteristic antagonistic profile and high binding affinity toward the GRP receptor in PC3 cells (IC50 4.6-8.2 nM). Radiolabeled peptide (68)Ga-NOTA-BBN2 was obtained from NOTA-BBN2 in radiochemical yields greater than 62% (decay-corrected). Total synthesis time was 35 min, including purification using solid-phase extraction. (68)Ga-NOTA-BBN2 exhibited favorable resistance against metabolic degradation by peptidases in vivo within the investigated time frame of 60 min. Interestingly, metabolic stability was not further enhanced in the presence of protease inhibitor phosphoramidon. Dynamic PET studies showed high tumor uptake in both PC3- and LNCaP-bearing BALB/c nude mice (SUV5min > 0.6; SUV60min > 0.5). Radiotracer (68)Ga-NOTA-BBN2 represents a novel radiometal-based bombesin derivative suitable for GRP receptor targeting in PC3 and LNCaP mouse xenografts. Further increase of metabolic stability in vivo and enhanced tumor uptake were not observed upon administration of protease inhibitor phosphoramidon. This led to the conclusion that the recently proposed "serve-and-protect" strategy may not be valid for peptides exhibiting favorable intrinsic metabolic stability in vivo.
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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) | 0.000 | 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 | 0.000 |
| 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".