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Record W2135099770 · doi:10.2967/jnumed.110.082826

In Vitro and In Vivo Evaluation of <sup>64</sup>Cu-Labeled SarAr-Bombesin Analogs in Gastrin-Releasing Peptide Receptor–Expressing Prostate Cancer

2011· article· en· W2135099770 on OpenAlexaff
Kimberly A. Lears, Riccardo Ferdani, Kexian Liang, Alexander Zheleznyak, Rebecca Andrews, Christopher D. Sherman, Samuel Achilefu, Carolyn J. Anderson, Buck E. Rogers

Bibliographic record

VenueJournal of Nuclear Medicine · 2011
Typearticle
Languageen
FieldNeuroscience
TopicNeuropeptides and Animal Physiology
Canadian institutionsBC Cancer AgencyUniversité de Sherbrooke
FundersNational Cancer InstituteNational Institutes of HealthStrong
KeywordsBombesinChemistryPeptideIn vivoConjugateIn vitroGastrin-releasing peptideAmino acidReceptorGastrinBiochemistryStereochemistryNeuropeptideBiologySecretion

Abstract

fetched live from OpenAlex

UNLABELLED: Bombesin is a 14-amino-acid amphibian peptide that binds with high affinity to the gastrin-releasing peptide receptor (GRPR), which is overexpressed on a variety of solid tumors. It has been demonstrated that bombesin analogs can be radiolabeled with a variety of radiometals for potential diagnosis and treatment of GRPR-positive tumors. In this regard, several studies have used different chelators conjugated to the 8 C-terminal amino acids of bombesin(7-14) for radiolabeling with (64)Cu. These analogs have demonstrated GRPR-specific small-animal PET of tumors but have various advantages and disadvantages. The objective of this study was to conjugate the previously described (1-N-(4-aminobenzyl)-3,6,10,13,16,19-hexaazabicyclo[6.6.6]-eicosane-1,8-diamine) (SarAr) chelator to bombesin(7-14), radiolabel the conjugate with (64)Cu, and evaluate in vitro and in vivo. METHODS: SarAr was synthesized as previously published and conjugated to bombesin(7-14) by solid-phase peptide synthesis using standard Fmoc chemistry. Succinic acid (SA), 8-aminooctanoic acid (Aoc), and Gly-Ser-Gly (GSG) were used as linkers between SarAr and bombesin(7-14) to yield the resulting SarAr-SA-Aoc-bombesin(7-14) and SarAr-SA-Aoc-GSG-bombesin(7-14) peptides. The unlabeled peptides were evaluated in a competitive binding assay using PC-3 prostate cancer cells and (125)I-Tyr(4)-bombesin to determine the inhibitory concentration of 50%. The peptides were radiolabeled with (64)Cu and evaluated for internalization into PC-3 cells in vitro and for in vivo tumor uptake in mice bearing PC-3 xenografts using biodistribution and small-animal PET/CT studies. RESULTS: The competitive binding assay demonstrated that both SarAr-SA-Aoc-bombesin(7-14) and SarAr-SA-Aoc-GSG-bombesin(7-14) bound with high affinity to GRPR with an inhibitory concentration of 50% of 3.5 and 4.5 nM, respectively. Both peptides were radiolabeled with (64)Cu at room temperature without further purification and demonstrated similar internalization into PC-3 cells. In vivo, the radiolabeled peptides demonstrated tumor-specific uptake (13.0 and 8.5 percentage injected dose per gram for (64)Cu-SarAr-SA-Aoc-bombesin(7-14) and (64)Cu-SarAr-SA-Aoc-GSG-bombesin(7-14), respectively, at 1 h) and imaging that was comparable to, or better than, that of the previously reported (64)Cu-labeled bombesin analogs. The (64)Cu-SarAr-SA-Aoc-GSG-bombesin(7-14) had more rapid blood clearance and lower tumor and normal-tissue uptake than (64)Cu-SarAr-SA-Aoc-bombesin(7-14), resulting in similar tumor-to-blood ratios for each analog (15.1 vs. 11.3 for (64)Cu-SarAr-SA-Aoc-bombesin(7-14) and (64)Cu-SarAr-SA-Aoc-GSG-bombesin(7-14), respectively, at 1 h). CONCLUSION: These studies demonstrate that (64)Cu-SarAr-SA-Aoc-bombesin(7-14) and (64)Cu-SarAr-SA-Aoc-GSG-bombesin(7-14) bound with high affinity to GRPR-expressing cells and that these peptides can be used for PET of GRPR-expressing prostate cancer.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.381
Threshold uncertainty score0.480

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.066
GPT teacher head0.307
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

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Citations69
Published2011
Admission routes1
Has abstractyes

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