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Record W4367311714 · doi:10.2967/jnumed.122.265254

Comparative Evaluation of [<sup>18</sup>F]5-Fluoroaminosuberic Acid and (4<i>S</i>)-4-3-[<sup>18</sup>F]fluoropropyl)-l-Glutamate as System –Targeting Radiopharmaceuticals

2023· article· en· W4367311714 on OpenAlexafffund
Milena Čolović, Hua Yang, Lily Southcott, Helen Merkens, Nadine Colpo, François Bénard, Paul Schaffer

Bibliographic record

VenueJournal of Nuclear Medicine · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsSimon Fraser UniversityUniversity of British ColumbiaTerry Fox Research InstituteTRIUMF
FundersCanadian Institutes of Health ResearchTRIUMF
KeywordsIn vivoChemistryBiodistributionGlutamineIn vitroCancer researchBiomarkerStereochemistryBiochemistryAmino acidMedicineBiology

Abstract

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System xC− is an appealing biomarker for targeting oxidative stress with oncologic PET imaging and can serve as an alternative PET biomarker to other metabolic indicators. In this paper, we report a direct comparison of 2 18F-labeled amino acid radiopharmaceuticals targeting system xC− , [18F]5-fluoroaminosuberic acid ([18F]FASu) and (4S)-4-(3-[18F]fluoropropyl)-l-glutamate ([18F]FSPG), in terms of their uptake specificity and ability to image glioma and lung cancer xenografts in vivo. Methods: Both tracers were synthesized according to previously published procedures. In vitro uptake specificity assays were conducted using prostate (PC-3), glioblastoma (U-87), colorectal (HT-29), ovarian (SKOV3), breast (MDA-MB-231), and lung cancer (A549) cell lines. PET/CT imaging and biodistribution studies were conducted in immunocompromised mice bearing U-87 or A549 xenografts. Results: In vitro cell uptake assays showed that the tracers accumulated in cancer cells in a time-dependent manner and that the uptake of [18F]FASu was blocked by the system xC− inhibitor sulfasalazine and rose bengal, but not by system L inhibitor 2-aminobicyclo-(2,2,1)-heptane-2-carboxylic acid, system xAG− inhibitor L-trans-pyrrolidine-2,4-dicarboxylic acid, or l-serine, which is a substrate for transporter systems A, ACS, B0, and B0,+. Conversely, [18F]FSPG uptake decreased significantly in the presence of an excess of L-trans-pyrrolidine-2,4-dicarboxylic acid in 2 of 3 tested cell lines, indicating some reliance on system xAG− in these cells. In an in vivo setting, [18F]FASu and [18F]FSPG generated good-contrast PET images in U-87 and A549 tumor–bearing mice. Tracer accumulation in A549 tumors was 5.0 ± 0.8 percentage injected dose (%ID)/g ([18F]FASu, n ≥ 5) and 6.3 ± 1.3 %ID/g ([18F]FSPG, n ≥ 6, P = 0.7786), whereas U-87 xenografts demonstrated uptake of 6.1 ± 2.4 %ID/g ([18F]FASu, n ≥ 4) and 11.2 ± 4.1 %ID/g ([18F]FSPG, n ≥ 4, P = 0.0321) at 1 h after injection. Conclusion: [18F]FSPG had greater in vitro uptake than [18F]FASu in all cell lines tested; however, our results indicate that residual uptake differences exist between [18F]FSPG and [18F]FASu, suggesting alternative transporter activity in the cell lines tested. In vivo studies demonstrated the ability of both [18F]FASu and [18F]FSPG to image glioblastoma (U-87) and non–small cell lung cancer (A549) xenografts.

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 score0.002
Threshold uncertainty score0.004

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)0.0000.000

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 head0.049
GPT teacher head0.343
Teacher spread0.294 · 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".

Quick stats

Citations5
Published2023
Admission routes2
Has abstractyes

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