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Record W3023967508 · doi:10.2967/jnumed.120.246983

The Effects of Monosodium Glutamate on PSMA Radiotracer Uptake in Men with Recurrent Prostate Cancer: A Prospective, Randomized, Double-Blind, Placebo-Controlled Intraindividual Imaging Study

2020· article· en· W3023967508 on OpenAlexafffund
Sara Harsini, Heather Saprunoff, Tina Alden, Behnoud Mohammadi, Don Wilson, François Bénard

Bibliographic record

VenueJournal of Nuclear Medicine · 2020
Typearticle
Languageen
FieldMedicine
TopicProstate Cancer Treatment and Research
Canadian institutionsBC Cancer FoundationUniversity of British ColumbiaSpinal Cord Injury BCBC Cancer Agency
FundersCanadian Institutes of Health Research
KeywordsMedicineProstate cancerProstatePlaceboUrologyKidneyNuclear medicineMonosodium glutamateGlutamate carboxypeptidase IIInternal medicineCancerPathology

Abstract

fetched live from OpenAlex

The prostate-specific membrane antigen (PSMA) is an excellent target for theranostic applications in prostate cancer. However, PSMA-targeted radioligand therapy can cause undesirable effects due to high accumulation of PSMA radiotracers in salivary glands and kidneys. This study assessed orally administered monosodium glutamate (MSG) as a potential means of reducing kidney and salivary gland radiation exposure using a PSMA-targeting radiotracer. <b>Methods:</b> This prospective, double-blind, placebo-controlled study enrolled 10 patients with biochemically recurrent prostate cancer. Each subject served as his own control. PET/CT imaging sessions using 2-(3-{1-carboxy-5-[(6-<sup>18</sup>F-fluoro-pyridine-3-carbonyl)-amino]-pentyl}-ureido)-pentanedioic acid (<sup>18</sup>F-DCFPyL) were performed 3–7 d apart, after oral administration of either 12.7 g of MSG or placebo. Data from the 2 sets of images were analyzed by placing regions of interest on lacrimal, parotid, and submandibular glands; left ventricle; liver; spleen; kidneys; bowel; urinary bladder; gluteus muscle; and malignant lesions. The results from MSG and placebo scans were compared by paired analysis of the region-of-interest data. <b>Results:</b> In total, 142 pathologic lesions along with normal tissues were analyzed. As hypothesized a priori, there was a significant decrease in SUV<sub>max</sub> corrected for lean body mass (SUL<sub>max</sub>) on images obtained after MSG administration in the parotids (24% ± 14%, <i>P</i> = 0.001), submandibular glands (35% ± 11%, <i>P</i> &lt; 0.001), and kidneys (23% ± 26%, <i>P</i> = 0.014). Significant decreases were also observed in the lacrimal glands (49% ± 13%, <i>P</i> &lt; 0.001), liver (15% ± 6%, <i>P</i> &lt; 0.001), spleen (28% ± 13%, <i>P</i> = 0.001), and bowel (44% ± 13%, <i>P</i> &lt; 0.001). A mildly lower blood pool SUL<sub>mean</sub> was observed after MSG administration (decrease of 11% ± 13%, <i>P</i> = 0.021). However, significantly lower radiotracer uptake in terms of SUL<sub>mean</sub>, SUL<sub>peak</sub>, and SUL<sub>max</sub> was observed in malignant lesions on scans performed after MSG administration than on the placebo studies (SUL<sub>max</sub> median decrease, 33%; range, −1% to 75%; <i>P</i> &lt; 0.001). No significant adverse events occurred after placebo or MSG administration, and vital signs were stable. <b>Conclusion:</b> Orally administered MSG significantly decreased salivary gland, kidney, and other normal-organ PSMA radiotracer uptake in human subjects, using <sup>18</sup>F-DCFPyL as an exemplar. However, MSG caused a corresponding reduction in tumor uptake, which may limit the benefits of this approach for diagnostic and therapeutic applications.

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)0.002
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: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.051
Threshold uncertainty score0.544

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.019
GPT teacher head0.315
Teacher spread0.296 · 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 designRandomized trial
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

Citations41
Published2020
Admission routes2
Has abstractyes

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