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Record W3037261909 · doi:10.1002/chem.202002999

Synthesis and Evaluation of a Macrocyclic Actinium‐225 Chelator, Quality Control and In Vivo Evaluation of <sup>225</sup>Ac‐crown‐αMSH Peptide

2020· article· en· W3037261909 on OpenAlexafffund
Hua Yang, Chengcheng Zhang, Zheliang Yuan, Cristina Rodríguez‐Rodríguez, Andrew K. H. Robertson, Valery Radchenko, Randy Perron, Denise Gendron, Patrick Causey, Feng Gao, François Bénard, Paul Schaffer

Bibliographic record

VenueChemistry - A European Journal · 2020
Typearticle
Languageen
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsCanadian Nuclear LaboratoriesUniversity of British ColumbiaCanadian Centre for Applied Research in Cancer ControlSimon Fraser UniversityBC Cancer AgencyTRIUMF
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsDOTABiodistributionChemistryIn vivoPeptideRadiochemistryChelationIn vitroBiochemistryBiologyOrganic chemistry

Abstract

fetched live from OpenAlex

Abstract Targeted alpha‐therapy (TAT) has great potential for treating a broad range of late‐stage cancers by delivering a focused and lethal radiation dose to tumors. Actinium‐225 ( 225 Ac) is an emerging alpha emitter suitable for TAT; however, the availability of chelators for Ac remains limited to a small number of examples (DOTA and macropa). Herein, we report a new Ac macrocyclic chelator named ‘ crown’ , which binds quantitatively and rapidly (&lt;10 min) to Ac at ambient temperature. We synthesized 225 Ac‐ crown ‐αMSH, a peptide targeting the melanocortin 1 receptor (MC1R), specifically expressed in primary and metastatic melanoma. Biodistribution of 225 Ac‐ crown ‐αMSH showed favorable tumor‐to‐background ratios at 2 h post injection in a preclinical model. In addition, we demonstrated dramatically different biodistrubution patterns of 225 Ac‐ crown ‐αMSH when subjected to different latency times before injection. A combined quality control methodology involving HPLC, gamma spectroscopy and radioTLC is recommended.

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)0.004
metaresearch head score (Gemma)0.003
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 score0.124
Threshold uncertainty score0.708

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
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)0.0010.000

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 head0.087
GPT teacher head0.362
Teacher spread0.275 · 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

Citations76
Published2020
Admission routes2
Has abstractyes

Explore more

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