MétaCan
Menu
Back to cohort

Targeting the Neuropeptide Y1 Receptor for Cancer Imaging by Positron Emission Tomography Using Novel Truncated Peptides

2016· article· en· W2526060246 on OpenAlexafffund
Chengcheng Zhang, Jinhe Pan, Kuo‐Shyan Lin, Iulia Dude, Joseph Lau, Jutta Zeisler, Helen Merkens, Silvia Jenni, Brigitte Guérin, François Bénard

Bibliographic record

VenueMolecular Pharmaceutics · 2016
Typearticle
Languageen
FieldNeuroscience
TopicNeuropeptides and Animal Physiology
Canadian institutionsUniversité de SherbrookeUniversity of British ColumbiaBC Cancer Agency
FundersCanadian Institutes of Health ResearchLeading Edge Endowment Fund
KeywordsPositron emission tomographyBrain positron emission tomographyNeuropeptideCancer researchReceptorCancerNeuropeptide Y receptorNuclear medicineChemistryMedicineMolecular biologyPreclinical imagingBiologyInternal medicineGeneticsIn vivo

Abstract

fetched live from OpenAlex

The neuropeptide Y 1 receptor (Y1R) is overexpressed in many human cancers, particularly breast cancer. Due to stability issues, limited success has been achieved for Y1R imaging agents, including full length and truncated neuropeptide Y (NPY) analogues. The goal of this study was to evaluate the possibility of using radiolabeled truncated NPY analogues to visualize Y1R expression in a preclinical model of Y1R-positive tumor. Four truncated NPY analogues were synthesized based on the sequence of [Pro 30, Tyr 32, Leu 34 ]NPY(28–36), also known as BVD15. We substituted Tyr 5 and Arg 6 with unnatural amino acids aiming to enhance plasma stability while maintaining good receptor binding affinity to Y1R. In addition, we substituted Leu 4 to Lys 4 in order to conjugate via an optional linker the DOTA chelator for 68 Ga labeling. Receptor binding affinity and plasma stability of these compounds were evaluated. Positron emission tomography/computed tomography (PET/CT) imaging and biodistribution studies were performed using immune-compromised mice bearing HEK293T::WT and HEK293T::hY1R tumors. [Lys(Ga-DOTA) 4, Bip 5 ]BVD15 (CCZ01035), [Lys(Ahx-Ga-DOTA) 4, Bip 5 ]BVD15 (CCZ01053), and [Lys(Pip-Ga-DOTA) 4, Bip 5 ]BVD15 (CCZ01055) demonstrated good binding affinity to Y1R ( K i = 23.4–32.3 nM), while [Lys(Ga-DOTA) 4, Har 6 ]BVD15 (P05067) showed poor binding affinity ( K i > 1000 nM). In addition, CCZ01055 exhibited low binding affinity ( K i > 1000 nM) to Y2R and Y4R, demonstrating its selectivity to Y1R. The former three peptides showed improved in vitro plasma stability of 7–16% remaining intact after 1 h incubation. PET/CT imaging and biodistribution studies for 68 Ga-labeled CCZ01053, CCZ01035, and CCZ01055 showed that radioactivity was mainly cleared by the renal pathway, and HEK293T::hY1R tumors were clearly visualized with minimal background activity with the latter two. Of these two tracers, [ 68 Ga]CCZ01055 provided lower kidney accumulation and higher contrast, i.e., average uptake ratios of Y1R tumor to wild type tumor, blood, and muscle are 3.87 ± 0.83, 4.12 ± 1.14, and 17.6 ± 4.64, respectively. Furthermore, Y1R tumor uptake with [ 68 Ga]CCZ01055 was significantly reduced with coinjection of 100 μg of peptide YY, confirming the specificity of tumor accumulation was receptor mediated. We successfully developed the first Y1R-targeting truncated NPY analogues for PET imaging in a preclinical model, and [ 68 Ga]CCZ01055 is a critical template for designing improved imaging agents to detect Y1R expressing cancers.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.105
Threshold uncertainty score0.806

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
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 head0.044
GPT teacher head0.329
Teacher spread0.284 · 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".

Quick stats

Citations19
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueMolecular PharmaceuticsSame topicNeuropeptides and Animal PhysiologyFrench-language works237,207