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Record W4386263679 · doi:10.7150/thno.87663

Lys-urea-Aad, Lys-urea-Cmc and Lys-urea-Cms as potential pharmacophores for the design of PSMA-targeted radioligands to reduce off-target uptake in kidneys and salivary glands

2023· article· en· W4386263679 on OpenAlexafffund
Hsiou‐Ting Kuo, Zhengxing Zhang, Chengcheng Zhang, Helen Merkens, Ruiyan Tan, Antonio A. W. L. Wong, Carlos Uribe, François Bénard, Kuo‐Shyan Lin

Bibliographic record

VenueTheranostics · 2023
Typearticle
Languageen
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health ResearchBC Cancer FoundationLeading Edge Endowment FundProstate Cancer Foundation
KeywordsUreaLNCaPBiodistributionChemistryPharmacophoreRadioligandLysineBiochemistryPharmacologyAmino acidIn vitroProstate cancerInternal medicineMedicineCancer

Abstract

fetched live from OpenAlex

High kidney and salivary gland uptake is a common feature of prostate-specific membrane antigen (PSMA)-targeted radioligands derived from the lysine-urea-glutamic acid (Lys-urea-Glu) pharmacophore.In this study we investigated if radioligands derived from lysine-urea-2-aminoadipic acid (Lys-urea-Aad), lysine-urea-S-carboxylmethylcysteine (Lys-urea-Cmc) and lysine-urea-O-carboxylmethylserine (Lys-urea-Cms) pharmacophores with/without an albumin binder could retain good PSMA-targeting capability but with minimized kidney and salivary gland uptake.Methods: HTK03177 and HTK03187 were obtained by replacing Aad in the previously reported Lys-urea-Aad-derived HTK03149 with Cmc and Cms, respectively.HTK03170, HTK04048 and HTK04028 were derived from HTK03149, HTK03177 and HTK03187, respectively, with the conjugation of an albumin-binding moiety, 4-(p-methoxyphenyl)butyric acid.In vitro competition binding assays were conducted using PSMA-expressing LNCaP prostate cancer cells and [ 18 F]DCFPyL as the radioligand.Imaging and biodistribution studies of 68 Ga-labeled HTK03177 and HTK03187, and 177 Lu-labeled HTK03170, HTK04048 and HTK04028 were performed in LNCaP tumor-bearing mice.Radioligand therapy study of [ 177 Lu]Lu-HTK03170 was carried out in LNCaP tumor-bearing mice and [ 177 Lu]Lu-PSMA-617 was used for comparison.Results: The calculated Ki(PSMA) values of Ga-HTK03177, Ga-HTK03187, Lu-HTK03170, Lu-HTK04048 and Lu-HTK04028 were 5.0±2.4,10.6±2.0, 1.6±0.4,1.4±1.0 and 13.9±3.2nM, respectively.PET Imaging and biodistribution studies at 1 h post-injection showed that both [ 68 Ga]Ga-HTK03177 and [ 68 Ga]Ga-HTK03187 had high uptake in LNCaP tumor xenografts (24.7±6.85 and 21.1±3.62 %ID/g, respectively) but minimal uptake in normal organs/tissues including kidneys (7.76±1.00 and 2.83±0.45%ID/g, respectively) and salivary glands (0.22±0.02 and 0.16±0.02%ID/g, respectively).SPECT imaging and biodistribution studies showed that the LNCaP tumor uptake of 177 Lu-labeled HTK03170, HTK04048 and HTK04028 peaked at 4-24 h post-injection at ~43-65 %ID/g and was relatively sustained over time.Their peaked average uptake in kidneys (≤ 17.4 %ID/g) and salivary glands (≤ 2.92 %ID/g) was lower and continuously reduced over time.Radioligand therapy study showed that compared with [ 177 Lu]Lu-PSMA-617 (37 MBq), a quarter dose of [ 177 Lu]Lu-HTK03170 (9.3 MBq) led to a better median survival (63 vs 90 days).Ivyspring

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

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 science0.0000.000
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 head0.037
GPT teacher head0.345
Teacher spread0.308 · 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 source (direct Gemma or distilled Codex), 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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Citations11
Published2023
Admission routes2
Has abstractyes

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